CN115382117A

CN115382117A - Plasma sterilization system and device

Info

Publication number: CN115382117A
Application number: CN202211309134.2A
Authority: CN
Inventors: 常华梅; 时贞平
Original assignee: Jiangsu Rongzheng Pharmaceutical Technology Co ltd
Current assignee: Nanjing Jinyou Health Management Co ltd
Priority date: 2022-10-25
Filing date: 2022-10-25
Publication date: 2022-11-25
Anticipated expiration: 2042-10-25
Also published as: CN115382117B

Abstract

The embodiment of the specification provides a plasma sterilization system and a plasma sterilization device, wherein the plasma sterilization device comprises: the device comprises a plasma generator, a conveying device, a monitoring device and a control device; the plasma generator is used for generating plasma and conveying the plasma to the object to be treated through the conveying device so as to carry out surface care on the object to be treated; the monitoring device is used for acquiring monitoring information; the monitoring device comprises one or more of a camera, a sound monitoring element, a temperature monitoring element and a humidity monitoring element; the monitoring information comprises one or more of image information, sound information and environment information of the object to be processed; and the control device is used for generating a control command based on the monitoring information so as to adjust the working parameters of the plasma generator and the conveying device.

Description

Plasma sterilization system and device

Technical Field

The present disclosure relates to plasma technologies, and in particular, to a plasma sterilization system and a plasma sterilization device.

Background

Because the hair on the animal body is too long and too much, the animal is easy to become a harboring place of bacteria, and the microorganisms such as the bacteria can cause skin diseases of pets after a long time. The plasma gas may generate active agents, including high intensity ultraviolet photons and free radicals, which may be effective in destroying bacteria in the skin or hair. With the continuous development and maturity of the plasma technology, the plasma technology has wide application prospect in the medical field.

Accordingly, it is desirable to provide a plasma sterilization system and apparatus that more effectively treats skin disorders in animals using plasma technology.

Disclosure of Invention

One of the embodiments of the present disclosure provides a plasma sterilization apparatus, including: the device comprises a plasma generator, a conveying device, a monitoring device and a control device; the plasma generator is used for generating plasma and conveying the plasma to the object to be treated through the conveying device so as to perform surface care on the object to be treated; the monitoring device is used for acquiring monitoring information; the monitoring device comprises one or more of a camera, a sound monitoring element, a temperature monitoring element and a humidity monitoring element; the monitoring information comprises one or more of image information, sound information and environment information of the object to be processed; and the control device is used for generating a control command based on the monitoring information so as to adjust the working parameters of the plasma generator and the conveying device.

One of the embodiments of the present specification provides a plasma sterilization system, which includes at least one processor, at least one memory, and a plasma generator module, a delivery module, and a monitoring module; at least one memory for storing computer instructions; at least one processor is configured to execute at least some of the computer instructions, comprising: acquiring monitoring information based on a monitoring module; the monitoring module comprises one or more of a camera unit, a sound monitoring unit, a temperature monitoring unit and a humidity monitoring unit; the monitoring information comprises one or more of image information, sound information and environment information of the object to be processed; generating a control instruction based on the monitoring information to adjust working parameters of the plasma generator module and the conveying module; the plasma generator module is used for generating plasma and conveying the plasma to the object to be treated through the conveying module so as to perform surface care on the object to be treated.

Drawings

The present description will be further explained by way of exemplary embodiments, which will be described in detail by way of the accompanying drawings. These embodiments are not intended to be limiting, and in these embodiments like numerals are used to indicate like structures, wherein:

FIG. 1 is an exemplary block diagram of a plasma sterilization device, according to some embodiments herein;

FIG. 2 is a flow diagram of an exemplary method of controlling movement of a purge arm and an injection volume of a purge spray head according to some embodiments described herein;

FIG. 3 is an exemplary block diagram of a purge model according to some embodiments herein;

FIG. 4 is an exemplary flow chart illustrating controlling the amount of delivery and exhaust of a ventilation device according to some embodiments of the present disclosure;

FIG. 5 is an exemplary block diagram of an entertainment model shown in accordance with some embodiments of the present description;

fig. 6 is a block diagram of a plasma sterilization system according to some embodiments of the present description.

Detailed Description

In order to more clearly illustrate the technical solutions of the embodiments of the present specification, the drawings used in the description of the embodiments will be briefly described below. It is obvious that the drawings in the following description are only examples or embodiments of the present description, and that for a person skilled in the art, the present description can also be applied to other similar scenarios on the basis of these drawings without inventive effort. Unless otherwise apparent from the context, or stated otherwise, like reference numbers in the figures refer to the same structure or operation.

It should be understood that "system", "apparatus", "unit" and/or "module" as used herein is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, other words may be substituted by other expressions if they accomplish the same purpose.

As used in this specification and the appended claims, the terms "a," "an," "the," and/or "the" are not to be taken in a singular sense, but rather are to be construed to include a plural sense unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.

Flowcharts are used in this specification to illustrate the operations performed by the system according to embodiments of the present specification. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, the various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to or removed from these processes.

Fig. 1 is an exemplary block diagram of a plasma sterilization device according to some embodiments herein. The plasma sterilization apparatus 100 according to the embodiment of the present specification will be described in detail below. It should be noted that the following examples are only for explaining the present specification, and do not constitute a limitation to the present specification. For example, the plasma sterilization apparatus can be used in application fields such as sterilization of articles.

As shown in fig. 1, the plasma sterilization apparatus 100 includes a plasma generator 110, a conveying device 120, a monitoring device, and a control device 140.

Plasma is a highly ionized gas cloud generated by the action of a strong electromagnetic field, mainly composed of various active substances such as electrons, ions, atoms, molecules, free radicals, and is a new substance form except solid, liquid and gas. It will be appreciated that the total number of positive charges and the number of negative charges in the plasma are numerically equal. With the development of plasma as a sterilization technology, the plasma can be deeply cleaned and efficiently sterilized, and meanwhile, the advantages of small skin irritation, convenient use and the like of low-temperature plasma gas are rapidly developed in clinical medical treatment, so that the plasma can be widely applied to the sterilization field of biological surfaces.

The plasma generator 110 may refer to a device for generating plasma gas, for example, the plasma generator 110 may be a plasma generator such as an arc plasma generator, a line frequency arc plasma generator, a high frequency induction plasma generator, a low pressure plasma generator, a combustion plasma generator, or the like.

In some embodiments, the plasma generator 110 is configured to generate plasma gas and deliver the plasma to the object to be treated through the delivery device for surface treatment of the object to be treated. In some embodiments, the plasma generator 110 may be connected to the conveying device 120, and may convey the generated plasma gas to the object to be processed through the conveying device 120.

In some embodiments, the plasma generator 110 may be a low temperature plasma generator for generating a low temperature plasma gas. The low temperature plasma can achieve sterilization at a lower temperature, such as body temperature, and is useful for operators and patients when applied for sterilization.

The object to be treated may refer to an object that is subjected to sterilization treatment with plasma gas. In some embodiments, the object to be treated may comprise the whole and/or a part of an animal in which a skin disease occurs. For example, when the skin disease occurs in the whole animal, the object to be treated is the whole animal, and when the skin disease occurs locally in the epidermis of the animal, the object to be treated is a portion of the animal where the skin disease occurs.

Surface treatment may refer to the process of treating the surface of animal skin or hair. Surface care may include fur care, dermatologic rehabilitation, sterilization, etc. of an animal (e.g., a pet). For example, when a wound surface or skin diseases caused by bacteria breeding appear on the surface of the skin of an animal, the plasma can be sprayed on the surface of the skin or hair of the animal so as to achieve the purpose of surface care.

The operating parameters of the plasma generator 110 may include plasma generation power, on and off states, and the like. The plasma generator 110 may be turned on and off several times during a single surface treatment process. For example, in consideration of the emotion of the subject to be treated, a long surface treatment time may be divided into a plurality of short time periods, and the plasma generator 110 may be turned on and off a plurality of times.

The delivery device 120 may refer to a device for delivering plasma gas to an object to be processed. In some embodiments, the delivery device 120 may include a blower. In some embodiments, one end of the conveying device 120 is connected to the plasma generator 110 for transmitting the plasma generated by the plasma generator 110 to the object to be processed.

The operating parameters of the delivery device 120 may include delivery power, on and off states, and the like. The delivery power may be expressed in terms of the flow rate of the plasma gas delivered. The delivery device 120 may be opened and closed multiple times during a single surface treatment session. The open/close state of the transfer device 120 may be the same as the open/close state of the plasma generator 110.

The monitoring device may refer to a device for monitoring a surface care process performed on a subject to be treated.

In some embodiments, the monitoring device may be used to obtain monitoring information. In some embodiments, as shown in FIG. 1, the monitoring device may include a camera 130-1 and a sound monitoring element 130-2. In some embodiments, the monitoring device may further comprise one or more of a temperature monitoring element, a humidity monitoring element, and the like. In some embodiments, the monitoring device may be installed in the field where the surface care is performed, for example, the camera 130-1 and the sound monitoring element 130-2 may be installed on a wall of a room for the surface care.

The monitoring information may refer to information obtained by monitoring the object to be treated and/or the care environment in real time during the surface care process. In some embodiments, the monitoring information may include one or more of image information, sound information, and environmental information of the object to be processed.

The image information of the object to be treated may refer to an image taken of the object to be treated in the surface care process. The image information of the object to be processed may include a picture, a movie, etc. including the object to be processed. In some embodiments, image information of the object to be processed may be acquired by the camera 130-1. In some embodiments, image information of the object to be processed may be used to determine image characteristics. The image feature may refer to a feature of an object to be processed. The image characteristics may include the kind, body type, fur health degree, skin disease type, skin disease area location, emotion, etc. of the subject to be processed. For details of the image features, reference may be made to details elsewhere in the specification, for example, fig. 2 and 3.

The sound information of the object to be treated may refer to the sound of the object to be treated monitored during the surface care process. The sound information of the object to be processed may include a sound emitted from the animal. In some embodiments, the sound information of the object to be processed may be acquired through the sound monitoring element 130-2. In some embodiments, the sound information of the object to be processed may be used to determine the sound characteristics. The sound characteristic may refer to a characteristic of a sound emitted by the object to be treated during the surface treatment process. For details of the sound features, reference may be made to details elsewhere in the description, for example, fig. 3.

Environmental information may refer to information relating to a surface care environment. A surface care environment may refer to a site where a surface care process is performed. For example, the surface care environment may be a room or the like in which the surface care work is performed. The environmental information may include temperature, humidity, etc. of the surface care environment. In some embodiments, the environmental information may be obtained by a temperature monitoring element, a humidity monitoring element. In some embodiments, the environmental information of the object to be treated may include temperature, humidity, etc. of the surface care environment.

The control device 140 may refer to a device for controlling various kinds of devices in the plasma sterilization device 100. For example, control device 140 may be used to control the operating parameters of plasma generator 110, delivery device 120, and monitoring devices. The control device 140 may be implemented by a computing apparatus provided with a processing chip.

In some embodiments, the control device 140 may be configured to generate control commands based on the monitored information to adjust operating parameters of the plasma generator and the delivery device. In some embodiments, the control device 140 may be used to adjust the power, on/off, etc. of the plasma generator and delivery device.

In some embodiments, the control command may refer to a command for controlling various types of devices in the plasma sterilization device 100. In some embodiments, the control instructions generated by the control device 140 may include operating parameters of the respective device. In some embodiments, the operating parameters included in the control instructions may be determined based on monitoring information collected by the monitoring device. For example, the monitoring information indicates that the object to be treated is located in the surface care environment, and the control instructions can control the plasma generator and the conveying device to start working.

In some embodiments, the subject may experience emotional uncontrolled problems during the surface care process, such as sudden excitement jumps, screeches, etc. The control device 140 may acquire image characteristics of the object to be processed based on the monitoring information acquired in real time and modify the current control command in time to adjust the operating parameters of the plasma generator and the transport device. For example, when the object to be processed suddenly buzzes or sags, the plasma generator and the conveying device can be immediately stopped.

In some embodiments, the plasma sterilization device 100 further includes: purge showerhead 150, purge arm 160, and fixture 170.

In some embodiments, the purge showerhead 150 may be used to inject plasma to different locations of the object to be processed. In some embodiments, a purge showerhead 150 may be coupled to the delivery apparatus 120 for blowing out the low temperature plasma gas. In some embodiments, the purge nozzles 150 may be divided into large, medium, small, etc. different sizes according to their volumes to meet different purge area requirements. For example, for larger area purge areas, a large purge showerhead may be used.

The purge nozzle may be provided with a plurality of stages for different models, each stage of each model corresponding to a different injection amount. The control device 140 may automatically select different types of purge nozzles and gear positions based on the desired injection amount. For example, the injection amount of the small size head 5 th stage and the large size head 1 st stage are the same, but for small animals, the small size head 5 th stage is more suitable.

In some embodiments, a purge arm 160 may be used to connect the purge spray head 150 and the delivery device 120. The plasma gas delivered by the delivery device 120 can be delivered to the purge tip 150 by the purge arm 160.

In some embodiments, the control device 140 may control the purge arm 160 to be movable. In some embodiments, the control device 140 may control the movement of the purge arm 160 according to the location, order, and length of time to be purged of the object to be treated.

In some embodiments, the fixture 170 may be used to fix the object to be processed. The fixing device 170 may be a device that restricts the behavior of the object to be processed, for example, the fixing device 170 may be a large jig or cage, or the like. The fixing device 170 may also be provided with a moving rotation mechanism for moving the object to be processed to the purge arm 160.

In some embodiments, the control device 140 may be used to control the purge spray head 150, the purge arm 160, and the fixture 170. For example, the control device 140 may control the purge nozzle 150, the purge arm 160, and the fixing device 170 based on the position of the site to be purged of the object to be treated, the length and order of purging the site to be purged, the type of the purge nozzle, the injection amount, and the like.

In some embodiments, the control device 140 may control the movement of the purge arm 160 and the injection amount of the purge nozzle 150 based on the image information and a preset scheme corresponding to the object to be processed. For details of the preset scheme, reference may be made to the description of other contents of the present specification, for example, fig. 2.

Through some embodiments in this specification, through setting up the shower nozzle that sweeps, sweep arm and fixing device, can realize automatic sweeping, raise the efficiency, reduce the cost of labor.

In some embodiments, the plasma sterilization device 100 further includes: a treatment chamber 180, a ventilation device and an entertainment device 1100. In some embodiments, the control device 140 may be used to control the treatment cartridge 180, the ventilation device, and the entertainment device 1100.

The process cartridge 180 may refer to a chamber that implements a surface to be processed on an object. Treatment cartridge 180 may be used for surface care of small animals or for topical surface care of large animals. On one hand, the treatment cabin 180 can be designed into a plurality of cabins, so that the treatment cabin 180 can be used for carrying out surface care on a plurality of small animals at the same time, the space can be saved, and the care efficiency can be improved; on the other hand, the local surface of the object to be treated can be treated in a fixed point manner, so that the treatment efficiency is improved.

In some embodiments, the delivery device 120 may be coupled to the plasma generator 110 at one end and the processing chamber 180 at the other end, and the delivery device 120 may deliver the generated plasma gas into the processing chamber 180 through the delivery device 120. In some embodiments, after all or part of the object to be treated is placed in the treatment chamber 180, the surface treatment of the object to be treated may be performed in the treatment chamber 180 by the plasma gas.

In some embodiments, a monitoring device may be disposed in the treatment chamber 180, and the surface treatment process may be monitored in real time by the monitoring device, for example, the temperature, humidity, status of the object to be treated, and the like in the treatment chamber 180.

In some embodiments, a purge arm and purge shower head are also included within the process cartridge 180. The delivery device 120 may be connected to a purge arm inside the process chamber 180, and deliver the plasma gas to the purge arm and spray the plasma gas from the purge nozzle toward the object to be processed. The control device 140 can control the purge arm and the purge nozzle in the processing chamber 180 to perform surface treatment on the object to be processed. For details regarding the purge arms and purge nozzles within the process chamber, reference may be made to the description elsewhere in this specification, for example, the purge nozzle 150 and the purge arm 160.

The ventilation means may mean a means for ventilating the inside of the treatment chamber 180. In some embodiments, the ventilation device may be placed within the treatment cartridge 180.

In some embodiments, the gas exchange device may include a gas evacuation device 190-2 and/or a gas pump 190-1 for delivering the plasma gas delivered by the delivery device 120 into the processing chamber 180. In some embodiments, a gas pump 190-1 in the ventilator may be in communication with the delivery device 120 and the processing chamber 180, the gas pump 190-1 in the ventilator may be used to deliver the plasma gas delivered by the delivery device 120 to the processing chamber 180, and a gas extractor 190-2 (e.g., a vacuum pump) in the ventilator may be used to extract the gas within the processing chamber 180. In some embodiments, the air exchange device may also input air into the treatment chamber 180.

The entertainment apparatus 1100 may refer to an apparatus for attracting the attention of a subject to be processed. In some embodiments, the entertainment device 1100 may be disposed within the process cartridge 180.

In some embodiments, the entertainment device 1100 may include one or more of a sound generator, a light, a pet ball. With the entertainment apparatus 1100, uneasiness and panic emotion of the subject during the surface care process can be reduced, and efficiency of the surface care process can be improved by soothing emotion of the subject.

It should be understood that the plasma sterilization device 100 shown in fig. 1 may be implemented in various ways.

It should be noted that the above description of the plasma sterilization device 100 is for convenience of description only and should not limit the present disclosure to the scope of the illustrated embodiments. It will be appreciated by those skilled in the art that, having the benefit of the teachings of this apparatus, any combination of modules or configuration of subsystems with other modules may be used without departing from such teachings.

In some embodiments of the present disclosure, by providing the processing chamber and the air exchanging device in the plasma sterilizer 100, waste of space and plasma gas can be reduced, stability of the object to be processed can be increased by adding the entertainment device, normal surface care can be ensured, and efficiency of surface care work can be improved.

FIG. 2 is a flow diagram of an exemplary method of controlling movement of a purge arm and an injection volume of a purge spray head according to some embodiments described herein. In some embodiments, the process 200 may be performed by the control device 140.

As shown in fig. 2, the control means may control the movement of the purge arm and the injection amount of the purge nozzle based on the preset scheme corresponding to the image information and the object to be processed.

The preset scheme corresponding to the object to be treated can be a preliminary scheme for surface care of the object to be treated. The objects to be processed are different, and the corresponding preset schemes are different. In some embodiments, the preset recipe may include the locations to be purged, the duration and order of the locations to be purged, the type of purge tip, the injection volume of the purge tip, and the like.

The injection amount of the purge nozzle may refer to an amount of plasma gas flowing through the purge nozzle over a certain time. For example, the injection amount of the purge nozzle may be expressed by formula (1):

wherein, the first and the second end of the pipe are connected with each other,

represents the injection amount of the purge head, V represents the volume flow rate of the plasma gas, t represents time, and S represents the area of the purge head.

In some embodiments, the injection amount of the purge spray head can be realized by changing the power of the plasma generator and/or the model and gear of the purge spray head. The injection amount can correspond to the model and the gear of the blowing nozzle one by one. For example, when the injection amount of the purge nozzle is small and needs to be adjusted up, the power of the plasma generator can be increased, or the current purge nozzle can be changed to a larger model.

In some embodiments, the control means may determine the preset scheme based on the image information.

In some embodiments, the control device may determine the image feature through a purge model based on image information of the object to be processed. The image characteristics may include the kind, body type, fur health degree, skin disease type, skin disease area location, emotion, etc. of the object to be processed. The skin disease type may include bacterial infection, fungal infection, parasitic infection, etc., among others. For more description of the image features, reference may be made to the description of the rest of this description, for example, fig. 3.

In some embodiments, a schema database may be provisioned, which may be obtained based on historical data. The elements in the plan database are historical image feature vectors, and each historical image feature vector corresponds to a historical treatment plan one to one.

In some embodiments, the method further comprises retrieving from a plan database based on the current image feature vector, determining similarity between the current image feature vector and historical image feature vectors in the plan database, and using the historical image feature vector with the similarity maximum or greater than a similarity threshold with the current image feature vector as a reference vector, and further using the historical treatment plan corresponding to the reference vector as a preset plan. Wherein the similarity between the vectors can be determined by the distance between the vectors. The distance between vectors may be euclidean, cosine, mahalanobis, etc. The smaller the distance between vectors, the greater the similarity between corresponding features.

In some embodiments, the control device 140 may generate a control command based on the image information and a preset recipe corresponding to the object to be processed, and then control the movement of the purge arm and the injection amount of the purge nozzle based on the control command.

In some implementations, the control device may determine to control movement of the purge arm and an injection volume of the purge spray head based on a preset schedule and generate the control command. The control device can control the movement of the purging arm based on the part to be purged, the duration and the sequence of the part to be purged, and meanwhile, the type and the gear of the purging nozzle can be automatically selected based on the type of the purging nozzle and the injection amount of the purging nozzle, so that the purging nozzle is controlled to purge. For example, when the preset scheme is that the part to be purged is four limbs of the object to be treated, the sequence of the part to be purged is a front left leg, a front right leg, a rear left leg and a rear right leg, the purging duration is 5 minutes, the type of the purging nozzle is large, the injection amount of the purging nozzle is 0.5 cubic unit per square meter, and the like, the moving path of the purging arm is determined based on the sequence of the part to be purged and the purging duration, and purging is performed according to the injection amount of the purging nozzle.

In some embodiments, the plan database may further include a historical control instruction corresponding to the treatment plan corresponding to each historical image feature vector, and the control device 140 may determine a preset plan corresponding to the historical image feature vector having the largest similarity with the current image feature vector, and determine the control instruction based on the preset plan.

In some embodiments, the control device 140 may predict the reaction of the object to be treated when purging different parts through the purge model, to determine the duration and order of purging different parts in the preset scheme, and further control the movement of the purge arm and the injection amount of the purge head. For details on the purge model, reference may be made to the description elsewhere in this specification, e.g., FIG. 3.

According to the preset scheme based on the image information and the corresponding object to be processed, which is described in some embodiments of the specification, the movement of the blowing arm and the spraying amount of the blowing nozzle are controlled, so that the working scheme of the plasma sterilization device can be determined according to the actual condition of the animal to be processed, the working scheme of the plasma sterilization device is more practical, and the surface care efficiency can be improved.

FIG. 3 is an exemplary block diagram of a purge model according to some embodiments herein.

In some embodiments, the reaction of the subject to be treated while purging different sites may be predicted by the purge model based on the monitoring information and historical purge data to determine the duration and order of purging the different sites in the preset purge protocol. The relevant description of the monitoring information can be referred to the relevant description of fig. 1 and fig. 2. The historical purging data can comprise historical duration and historical sequence of purging different parts in a historical purging scheme used when the historical object to be treated is subjected to purging treatment, and historical reaction of the object to be treated when the different parts are purged. Reference is made to fig. 2 and its associated description for a description of the preset purge strategy.

As shown in fig. 3, the purge model 300 may include a first image feature extraction layer 320, a first acoustic feature extraction layer 330, and a first prediction layer 360. The purge model 300 may determine a subject reaction profile classification based on processing of the image data 310-1, the sound data 310-2, and the preset purge profile 310-3. The description of the classification of the reaction conditions of the object to be treated can be found in the following description.

First image feature extraction layer 320 of purge model 300 may determine image features 340 based on processing of image data 310-1. The input to the first image feature extraction layer 320 may be image data 310-1 and the output may be image features 340.

The image data 310-1 may refer to image information of an object to be processed at a time point or a plurality of consecutive time points before a current time point in a process. The time intervals of the plurality of consecutive time points may be the same, and the size of the time intervals may be preset, for example, the time intervals may be 1 second. The related description of the image information can be referred to fig. 2 and the related description thereof.

The image feature 340 may refer to data that is determined based on image data and may reflect a feature of image information of an object to be processed. The contents of the image features may include the kind, body type, fur health degree, skin disease type, skin disease area position, emotion, and the like of the object to be processed. Based on the image characteristics obtained by the image information of a plurality of continuous time points, the change situation of partial characteristics can be embodied. Illustratively, if the input image data includes only image information at one time point, the content of the image feature determined based on the image information may be "the kind of the object to be processed is cat, the body size is small, the fur health degree is excellent, the type of the skin disease is ringworm, and the area of the region of the skin disease is 4cm ² The position is positioned on the back, and the emotion of the object to be processed is calm "; if the input image data includes image information of a plurality of continuous time points, the content of the image feature determined based on the image information may be that "the kind of the object to be processed is cat, the body size is small, the health degree of fur is excellent, the type of the skin disease is tinea, and the area of the skin disease area is 4cm ² The position is on the back, and the emotion of the object to be processed is firstly tense and then calm ".

In some embodiments, the image features 340 may be data in the form of vectors. For example, the content of a certain image feature may be (2, 3,1,4,1,3, 1), the meaning of which may be seen later.

For example, the determination rule of the image feature vector may be: the elements of each dimension of the image feature vector respectively represent the type, the body type, the fur health degree, the skin disease type, the area size of the skin disease area, the position of the skin disease area and the emotion of the object to be processed in sequence.

Wherein, the element values of different elements correspond to different characteristic values, for example, for the kind of the object to be treated, the value 1 represents dog, the value 2 represents cat, the value 3 represents bird, etc.; for body type, a value of 1 represents large, a value of 2 represents large, a value of 3 represents small, etc.; for the health degree of the fur, a value 1 represents excellent, a value 2 represents good, a value 3 represents poor, etc.; for the types of skin diseases, the value 1 represents sores, the value 2 represents ringworm and the like, the value 3 represents parasites, and the value 4 represents pustules and the like; for the area of the skin lesion, the value 1 represents 0 to 3cm ² And the value 2 represents 3 (none) to 6cm ² The value 3 represents 6 (none) to 10cm ² Etc.; for the dermatosis area, the value 1 represents the face, the value 2 represents the extremities, the value 3 represents the back, etc.; for the mood of the subject to be treated, a value of 1 represents tension, a value of 2 represents calm, a value of 3 represents excitement, a value of 4 represents first tension then calm, a value of 5 represents first calm then excitement, etc.

For example, the content of the image feature vector is (2, 3,1,4,1,3, 1), and the meaning is that the type of the object to be treated is cat, the body size is small, the fur health degree is excellent, the skin disease type is pustule, and the area size of the skin disease area is 0 to 3cm ² And the position is positioned on the back, and the to-be-processed object is nervous in emotion.

The first acoustic feature extraction layer 330 of the purge model 300 may determine the acoustic features 350 based on processing the acoustic data 310-2. The input to the first sound feature extraction layer 330 may be sound data 310-2 and the output may be sound features 350.

The sound data 310-2 may refer to sound information at a plurality of consecutive time points before a current time point in the processing. The time intervals of the plurality of consecutive time points may be the same, and the size of the time intervals may be preset, for example, the time intervals may be 1 second. For the related description of the sound information, refer to fig. 2 and the related description thereof.

The sound characteristics 350 may refer to data that is determined based on the sound data and may reflect characteristics such as volume, sound emission frequency, and the like of the sound information of the object to be processed. For example, the content of a certain sound feature may be "the object to be processed calls sound frequently and the volume becomes larger and larger".

In some embodiments, the acoustic features 350 may be data in the form of vectors. For example, the content of a certain sound feature may be (3, 2), the meaning of which may be referred to later. For example, the determination rule of the sound feature vector may be: the numerical value of each dimension of the image feature vector respectively represents the frequency of the called sound and the volume of the called sound of the object to be processed; for the frequency of the sound of the object to be processed, the value 1 represents frequent, the value 2 represents moderate, the value 3 represents sparse, and the value 4 represents no sound; for the size of the call volume, a value 1 represents larger and larger, a value 2 represents smaller and smaller, a value 3 represents larger first and smaller second, and the like. For example, the content of the aforementioned structure vector is (3, 2), which means that the object to be processed has sparse calling and the volume of the calling becomes smaller and smaller.

The first prediction layer 360 of the purge model 300 may determine a subject reaction profile classification 370 based on the processing of the image features 340, the acoustic features 350, and the preset purge profile 310-3. The inputs to the first prediction layer 360 may include image features 340, sound features 350, and a preset purge profile 310-3, and the output may be a subject reaction profile classification 370.

The subject response classification 370 may refer to a type of emotional and/or behavioral response that the subject may make during the process of purging the subject using the preset purging profile 310-3. For example, the classification of the reaction condition of the object to be processed may refer to a classification of a degree of confusion of the object to be processed, and specifically, may be classified into a degree of panic, a degree of confusion, and the like.

In some embodiments, the reaction condition of the object to be treated may be classified into a preset purging scheme satisfying a preset condition as a final purging scheme. The final purge recipe may refer to a recipe actually used for the purge process of the object to be processed. For example, the preset condition may be that the degree of confusion of the object to be processed is not confused.

In some embodiments, the first image feature extraction layer 320, the first acoustic feature extraction layer 330, and the first prediction layer 360 of the purge model 300 may be jointly trained. The sample data of the joint training can comprise sample image data, sample sound data and a sample purging scheme, and the label can comprise the reaction condition classification of the sample object to be processed. The step of joint training may comprise: inputting sample image data into a first image feature extraction layer to obtain image features output by the first image feature extraction layer; inputting sample voice data into a first voice feature extraction layer to obtain voice features output by the first voice feature extraction layer; inputting the image characteristics and the sound characteristics serving as training sample data and a sample purging scheme into a first prediction layer together to obtain the reaction condition classification of the object to be processed output by the first prediction layer; and constructing a loss function based on the sample to-be-processed object reaction condition classification and the to-be-processed object reaction condition classification output by the first prediction layer, and synchronously updating parameters of the first image feature extraction layer, the first sound feature extraction layer and the first prediction layer. And obtaining a trained first image feature extraction layer, a first sound feature extraction layer and a first prediction layer through parameter updating.

In some embodiments, the sample data of the joint training may be obtained based on historical purge data, the label may be an actual reaction condition classification of the historical object to be processed, and the label may be based on manual labeling.

In some embodiments of the present description, a model divided into multiple levels is used to analyze data such as an image of an object to be processed, and determine data such as a type, a body type, a skin disease type, and a position of the object to be processed, so as to determine a low-temperature plasma processing scheme that is more practical and meets a user's requirement. Meanwhile, a plurality of layers of the model are synchronously trained in a joint training mode, so that the training efficiency of the model can be improved, and the accuracy of the output result of the trained model is improved.

In some embodiments, the inputs to the first prediction horizon 360 of the purge model 300 may also include the type of the entertainment device 1100 and its operating parameters and the ventilator delivery and displacement.

Types of entertainment device 1100 may include, but are not limited to, sounders, light lights, pet balls, and the like.

The type of entertainment device 1100 may be preset manually.

The operating parameters of the entertainment device 1100 may refer to parametric information about the operation of the entertainment device. For example, if the entertainment device is a sound generator, the operating parameters may be sound generation power and sound type. For another example, if the entertainment device is a light emitting lamp, the operating parameters may include light emitting power, light emitting color, and the like.

In some embodiments, the entertainment device 1100 may establish a connection with the control device 140 and may transmit its operating parameters to the control device 140. The entertainment apparatus 1100 may be connected to the control apparatus 140 by a wired connection, a wireless connection, or the like. The method of determining the operating parameters of the entertainment device 1100 can be seen in FIG. 5 and its associated description.

The related description of the delivery and exhaust volumes of the ventilator can be found in fig. 4 and its related description.

After adding the type and operating parameters of the entertainment device 1100 and the delivery and exhaust volumes of the ventilator as inputs to the first prediction layer 360 of the purge model 300, the sample data for the joint training of the various layers of the purge model 300 may include sample image data, sample sound data, sample purge schemes, the type and operating parameters of the sample entertainment device and the delivery and exhaust volumes of the ventilator, and the label may include a sample to-be-processed object reaction condition classification.

The steps of the joint training may be modified to: inputting sample image data into a first image feature extraction layer to obtain image features output by the first image feature extraction layer; inputting sample voice data into a first voice feature extraction layer to obtain voice features output by the first voice feature extraction layer; inputting the image characteristics and the sound characteristics serving as training sample data, a sample purging scheme, the type of a sample of an entertainment device, sample working parameters of the entertainment device, the sample conveying capacity of a ventilation device and the sample exhaust capacity into a first prediction layer, and obtaining the reaction condition classification of the object to be processed output by the first prediction layer; and constructing a loss function based on the sample to-be-processed object reaction condition classification and the to-be-processed object reaction condition classification output by the first prediction layer, and synchronously updating parameters of the first image feature extraction layer, the first sound feature extraction layer and the first prediction layer. And obtaining a trained first image feature extraction layer, a first sound feature extraction layer and a first prediction layer through parameter updating.

In some embodiments of the present description, by increasing the type of data input to the model, the accuracy of the results output by the model may be further improved, which may in turn enhance the adaptability of the purge strategy determined based on the results output by the model.

In some embodiments of the present description, by predicting the reaction of the processing object by using the model, the purging scheme may be adjusted in time according to the reaction of the object to be processed before and after the processing, so as to avoid damage to the object to be processed.

In some embodiments, the control device 140 may control the delivery amount and the exhaust amount of the ventilator based on the monitoring information.

Fig. 4 is an exemplary flow chart illustrating controlling the amount of air change delivered and the amount of exhaust of a ventilation device according to some embodiments of the present disclosure. The process 400 may be performed by the control device 140.

The delivery amount of the gas-exchanging device may refer to a gas flow rate when the plasma-containing gas delivered from the delivery device 120 is delivered to the purge showerhead 150. For example, the delivery volume of the ventilator may be 0.2m ³ /s。

The displacement of the ventilator may refer to a gas flow rate when the gas in the processing chamber 180 is discharged out of the processing chamber 180. For example, the displacement of the ventilator may be 0.15m ³ /s。

In some embodiments, the initial values for the amount of air change delivered and the amount of air displaced may be preset. Wherein, the initial value of the air displacement is slightly larger than the initial value of the delivery volume, so as to form a negative pressure effect in the processing chamber 180; meanwhile, the treatment chamber 180 may not be completely closed to allow a small amount of oxygen to enter the treatment chamber 180 from the outside.

In some embodiments, the initial values of the amount of air conveyed and the amount of exhaust gas of the ventilator may be determined based on the operating parameters of the plasma generator 110 and the conveyor 120. The determination may be made, for example, by determining a model. Wherein the determination model may be a machine learning model, the inputs may be operating parameters of plasma generator 110 and delivery device 120, and the outputs may be delivery and exhaust volumes of the ventilation device.

In some embodiments, the amount of air change and the amount of exhaust gas may be adjusted based on environmental information. For example, the delivery volume of the ventilator may be increased when the ambient temperature is greater than the temperature threshold. For another example, when the ambient humidity is greater than the humidity threshold, the amount of air discharged by the ventilator may be increased. Wherein, the temperature threshold and the humidity threshold can be preset.

In some embodiments of the present disclosure, the treatment process may be more adaptive to the treatment requirements of the object to be treated by controlling the delivery and exhaust volumes of the ventilator.

In some embodiments, the control device 140 may also be used to predict the effect of the entertainment device based on the monitoring information and historical effect data to determine the action of the entertainment device.

The historical effect data may include a plurality of sets of data consisting of historical monitoring information at the first time point, and historical monitoring information at the second time point, operating parameters of the entertainment apparatus 1100, and reaction classification of the object to be processed.

The effect of the entertainment apparatus may refer to an effect that the entertainment apparatus 1100 has on an entertainment process of a subject to be processed. The effectiveness of the entertainment apparatus can be determined by the reaction situation classification of the object to be treated. For example, the reaction condition of the object to be processed is classified as panic, which indicates that the effect of the entertainment apparatus is good. For another example, if the emotion type of the object to be processed is panic, it indicates that the effect of the entertainment apparatus is general. The related description of the classification of the reaction condition of the object to be processed can refer to fig. 3 and the related description thereof.

The reaction situation classification of the object to be processed may be determined based on an entertainment model. For a description of the entertainment model, reference is made to fig. 5 and its associated description.

The action of the entertainment device may refer to an operating parameter of the entertainment device 1100. The relevant description of the definition of the operating parameters of an entertainment device can be found in fig. 3 and its associated description.

In some embodiments, the control device 140 may predict the effectiveness of the entertainment device by:

and constructing a current effect vector based on the monitoring information of the first time point, the monitoring information of the second time point and the working parameters of the entertainment device in the current processing process. The way in which the current effect vector is constructed can be varied. For example, the content of the current effect vector may be (a) ₁ ，...，a _k ，b ₁ ，...，b _m ，c ₁ ，...，c _n ) Wherein a is ₁ ，...，a _k All elements in the image feature determined based on the image information of the first time point and the second time point are determined, and k is the number of the elements in the image feature; b is a mixture of ₁ ，...，b _m All elements in the sound characteristics determined based on the sound information of the first time point and the second time point, wherein m is the number of the elements in the sound characteristics; c. C ₁ ，...，c _n All elements in the working parameter in the form of vector, and n is the number of elements in the working parameter in the form of vector.

The image features corresponding to the image information at the first time point and the second time point may be determined by the first image feature extraction layer 320 of the purge model 300. Specifically, the image information at the first time point and the second time point may be regarded as image information at two consecutive time points, input to the first image feature extraction layer 320, and output corresponding image features.

The sound features corresponding to the sound information at the first time point and the second time point may be determined by the first sound feature extraction layer 330 of the purge model 300. Specifically, the sound information at the first time point and the second time point may be regarded as sound information at two consecutive time points, input to the first sound feature extraction layer 330, and output corresponding sound features. The operational parameters of the entertainment device are described below.

Based on the historical effect data, a historical effect vector corresponding to each data set in the historical effect data is determined. The historical effect vector may be constructed in the same way as the current effect vector. For a description of historical performance data, reference is made to the description above.

The vector distance of the current effect vector from all the historical effect vectors is calculated. The vector distance may include, but is not limited to, euclidean distance, manhattan distance, chebyshev distance, and the like. And taking the reaction condition classification of the object to be processed at the historical second time point corresponding to the historical effect vector with the minimum vector distance as a prediction result of the reaction condition classification of the current object to be processed.

In some embodiments, the effectiveness of the entertainment device may also be predicted by the entertainment model based on the monitored information and historical entertainment data.

FIG. 5 is an exemplary block diagram of an entertainment model shown in accordance with some embodiments of the present description.

As shown in fig. 5, entertainment model 500 may include a second image feature extraction layer 520, a second sound feature extraction layer 530, and a second prediction layer 560. The entertainment model 500 may determine a subject reaction profile classification based on processing of the image data 510-1, the sound data 510-2, and the preset entertainment device operating parameters 510-3. The entertainment model 500 is a machine learning model.

The operational parameters of the entertainment device may refer to sets of different entertainment device operational parameter data. For example, if the entertainment device is a sound generator, the preset operation parameters of a certain set of entertainment devices may include "the sound generating power of the entertainment device is 10w, and the sound type is cat sound".

In some embodiments, the operational parameters of the entertainment device may be data in the form of vectors. For example, the content of the operating parameter in the form of a vector may be (15, 2). For example, the construction rule of the working parameters in the form of vectors may be: the elements of each dimension of the operating parameters in the form of vectors represent the sound production power and sound category of the entertainment device, respectively; different values of the elements correspond to different parameter settings. For example, the sound production power of the entertainment device can be directly represented by using the power value of the entertainment device; for the type of sound of the amusement device, a value 1 represents a dog cry, a value 2 represents a cat cry, a value 3 represents a bird cry, and the like. The operating parameters (15, 2) in the form of vectors described above then represent the meaning "the entertainment device has a sound power of 15w and the type of sound is cat sound".

In some embodiments, the parameters of the second image feature extraction layer 520 and the second sound feature extraction layer 530 of the entertainment model 500 may be consistent with the parameters of the first image feature extraction layer 320 and the first sound feature extraction layer 330 of the purge model 300.

The second prediction layer 560 of the entertainment model 500 may determine a subject response classification 570 based on processing of the image features 540, the sound features 550, and the preset entertainment device operating parameters 510-3. The inputs to the second prediction layer 560 may include image features 540, sound features 550, and preset entertainment device operating parameters 510-3, and the output may be a subject reaction profile classification 570.

In some embodiments, the first image feature extraction layer 320 and the first sound feature extraction layer 330 of the trained purge model 300 may be used directly as the second image feature extraction layer 520 and the second sound feature extraction layer 530, respectively, of the entertainment model 500. For a description of the training of the purge model 300, reference is made to FIG. 3 and its associated description.

In some embodiments, the second prediction layer 560 of the entertainment model 500 may be trained in conjunction with the second image feature extraction layer 520 and the second sound feature extraction layer 530. The sample data of the joint training can comprise sample image data, sample sound data and working parameters of the sample entertainment device, and the label can comprise the reaction condition classification of the sample object to be processed. The step of joint training may comprise: inputting sample image data into a second image feature extraction layer to obtain image features output by the second image feature extraction layer; inputting sample sound data into a second sound feature extraction layer to obtain sound features output by the second sound feature extraction layer; the image characteristics and the sound characteristics are used as training sample data and input into a second prediction layer together with working parameters of the sample entertainment device, and the reaction condition classification of the object to be processed output by the second prediction layer is obtained; and constructing a loss function based on the sample to-be-processed object reaction condition classification and the to-be-processed object reaction condition classification output by the second prediction layer, and updating the parameters of the second prediction layer. And obtaining a trained second prediction layer through parameter updating.

In some embodiments, sample data of the joint training may be obtained based on historical entertainment data, the label may be a historical reaction condition classification of the object to be processed, and the label may be based on manual labeling. And the first image feature extraction layer 320 and the first sound feature extraction layer 330 of the trained purging model 300 are directly used as the second image feature extraction layer 520 and the second sound feature extraction layer 530 of the entertainment model 500, so that the training steps can be reduced, and the training efficiency of the entertainment model can be improved.

In some embodiments of the present description, by determining the effect of the entertainment device using a model divided into multiple levels, the accuracy of the determined result can be effectively improved.

In some embodiments of the present description, based on the monitoring information and the historical entertainment data, the reaction data of the object to be processed is obtained, and then the working parameters of the entertainment device that are more practical and meet the practical requirements can be determined.

Fig. 6 is a block diagram of a plasma sterilization system according to some embodiments of the present description. As shown in fig. 6, plasma sterilization system 600 includes at least one processor 610, at least one memory, and a plasma generator module 611, a delivery module 612, and a monitoring module 613. The at least one memory is for storing computer instructions.

The at least one processor 610 is configured to execute at least some of the computer instructions, including: acquiring monitoring information based on a monitoring module; the monitoring module comprises one or more of a camera unit, a sound monitoring unit, a temperature monitoring unit and a humidity monitoring unit; the monitoring information comprises one or more of image information, sound information and environment information of the object to be processed; control commands are generated based on the monitored information to adjust operating parameters of the plasma generator module 611 and the delivery module 612.

The plasma generator module 611 is used for generating plasma and transmitting the plasma to the object to be treated through the transmission module 612 so as to perform surface treatment on the object to be treated.

In some embodiments, plasma sterilization system 600 further includes a purge showerhead module 614, a purge arm module 615, and a securing module 616.

The purge arm module 615 is used to connect the purge spray head module 614 and the delivery module 612.

The purge showerhead module 614 is used to inject plasma to different parts of the object to be processed.

The fixing module 616 is used for fixing the object to be processed.

In some embodiments, the processor 610 is further configured to control movement of the purge arm module 615 and the injection volume of the purge showerhead module 614 based on the image information and a preset recipe corresponding to the object to be processed.

In some embodiments, the plasma sterilization system 600 further includes a process cartridge module 617, a ventilation module 618, and an entertainment module 619.

The purging module 618 is in communication with the transfer module 612 and the processing cartridge module 617, the purging module 618 being configured to transfer the plasma transferred by the transfer module 612 to the processing cartridge module 617 and to draw air from the processing cartridge module 617.

An entertainment module 619 is disposed within the processing cartridge module 617, the entertainment module 619 for attracting the attention of the subject to be processed. The entertainment module 619 includes one or more of a sound generator unit, a light unit, and a pet ball unit.

It is to be noted that different embodiments may produce different advantages, and in different embodiments, any one or combination of the above advantages may be produced, or any other advantages may be obtained.

Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be regarded as illustrative only and not as limiting the present specification. Various modifications, improvements and adaptations to the present description may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present specification and thus fall within the spirit and scope of the exemplary embodiments of the present specification.

Also, the description uses specific words to describe embodiments of the description. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the specification is included. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the specification may be combined as appropriate.

Additionally, the order in which elements and sequences are described in this specification, the use of numerical letters, or other designations are not intended to limit the order of the processes and methods described in this specification, unless explicitly stated in the claims. While certain presently contemplated useful embodiments have been discussed in the foregoing disclosure by way of various examples, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.

Similarly, it should be noted that in the foregoing description of embodiments of the specification, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to imply that more features than are expressly recited in a claim. Indeed, the embodiments may be characterized as having less than all of the features of a single disclosed embodiment.

Numerals describing the number of components, attributes, etc. are used in some embodiments, it being understood that such numerals used in the description of the embodiments are modified in some instances by the use of the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the number allows a variation of ± 20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit-preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.

For each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, etc., cited in this specification, the entire contents of each are hereby incorporated by reference into this specification. Except where the application history document is inconsistent or contrary to the present specification, and except where the application history document is inconsistent or contrary to the present specification, the application history document is not inconsistent or contrary to the present specification, but is to be read in the broadest scope of the present claims (either currently or hereafter added to the present specification). It is to be understood that the descriptions, definitions and/or uses of terms in the accompanying materials of this specification shall control if they are inconsistent or contrary to the descriptions and/or uses of terms in this specification.

Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present disclosure. Other variations are also possible within the scope of the present description. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the specification can be considered consistent with the teachings of the specification. Accordingly, the embodiments of the present description are not limited to only those explicitly described and depicted herein.

Claims

1. A plasma sterilization device, comprising: the device comprises a plasma generator, a conveying device, a monitoring device and a control device;

the plasma generator is used for generating plasma and conveying the plasma to an object to be treated through the conveying device so as to perform surface care on the object to be treated;

the monitoring device is used for acquiring monitoring information;

the monitoring device comprises one or more of a camera, a sound monitoring element, a temperature monitoring element and a humidity monitoring element;

the monitoring information comprises one or more of image information, sound information and environment information of the object to be processed;

and the control device is used for generating a control command based on the monitoring information so as to adjust the working parameters of the plasma generator and the conveying device.

2. The apparatus of claim 1, further comprising: the device comprises a blowing spray head, a blowing arm and a fixing device;

the purging arm is used for connecting the purging spray head and the conveying device;

the purging nozzle is used for spraying the plasma to different parts of the object to be treated;

the fixing device is used for fixing the object to be processed.

3. The apparatus of claim 2, the control means further to: and controlling the movement of the purging arm and the injection amount of the purging nozzle based on the image information and a preset scheme corresponding to the object to be processed.

4. The apparatus of claim 1, further comprising: a treatment chamber, a ventilation device and an entertainment device;

the air interchanger is communicated with the conveying device and the processing bin, and is used for transferring the plasma conveyed by the conveying device to the processing bin and extracting gas in the processing bin module;

the entertainment device is arranged in the processing bin and is used for attracting the attention of the object to be processed; the entertainment device comprises one or more of a sounder, a lamp and a pet ball.

5. The apparatus of claim 4, the control means further to: controlling a delivery amount and an exhaust amount of the ventilator based on the monitoring information.

6. A plasma sterilization system, the system comprising at least one processor, at least one memory, and a plasma generator module, a delivery module, a monitoring module;

the at least one memory is for storing computer instructions;

the at least one processor is configured to execute at least some of the computer instructions, including:

acquiring monitoring information based on a monitoring module;

the monitoring module comprises one or more of a camera unit, a sound monitoring unit, a temperature monitoring unit and a humidity monitoring unit;

generating a control command based on the monitoring information to adjust working parameters of the plasma generator module and the conveying module; the plasma generator module is used for generating plasma and conveying the plasma to an object to be treated through the conveying module so as to perform surface care on the object to be treated.

7. The system of claim 6, further comprising: the device comprises a purging nozzle module, a purging arm module and a fixing module;

the purge arm module is used for connecting the purge spray head module and the conveying module;

the purging spray head module is used for spraying the plasma to different parts of the object to be treated;

the fixing module is used for fixing the object to be processed.

8. The system of claim 7, the processor further configured to:

and controlling the movement of the purging arm module and the injection amount of the purging nozzle module based on the image information and a preset scheme corresponding to the object to be processed.

9. The system of claim 6, further comprising: the system comprises a processing bin module, a ventilation module and an entertainment module;

the air exchange module is communicated with the conveying module and the processing bin module, and is used for transferring the plasma conveyed by the conveying module to the processing bin module and extracting gas in the processing bin module;

the entertainment module is arranged in the processing bin module and is used for attracting the attention of the object to be processed; the entertainment module comprises one or more of a sounder, a lamp and a pet ball.

10. The system of claim 9, the processor further configured to: and controlling the delivery volume and the exhaust volume of the ventilation module based on the monitoring information.