Big data-based milk basin cleaning control method and cleaning equipment

Abstract

The invention discloses a milk basin cleaning control method and cleaning equipment based on big data, and relates to the field of cleaning control, and the method comprises the steps: obtaining the material of a to-be-cleaned milk basin and each alternative cleaning agent; collecting a surface image of the to-be-cleaned milk basin and generating a pollution coefficient; and carrying out statistics on the basic data of each alternative cleaning agent to obtain a specified cleaning agent. And carrying out cleaning control on the to-be-cleaned milk basin and obtaining a cleaning real-time monitoring value. And performing cleaning feedback based on the cleaning real-time monitoring value of the to-be-cleaned milk basin. According to the method, the materials of the to-be-cleaned milk basin are obtained, the types of the cleaning agents which cannot damage the to-be-cleaned milk basin are pre-selected, then the parameters of the pollutants are obtained, the most suitable cleaning agent is accurately selected, the cleaning efficiency is improved, resource waste is avoided, the cleaning process of the milk basin is monitored in real time, and it is ensured that the milk basin is thoroughly cleaned.

Description

Technical Field

[0001] The present invention relates to the field of cleaning control, and in particular to a milk basin cleaning control method and cleaning equipment based on big data. Background Art

[0002] As a device that comes into direct contact with milk or dairy products, the cleanliness and hygiene of the milk basin is directly related to the quality and safety of milk or dairy products. In the era of intelligent equipment, it is necessary to ensure that the milk basin is thoroughly cleaned and disinfected after each use to effectively prevent contamination by microorganisms such as bacteria and viruses and ensure food safety.

[0003] The prior art, such as the invention patent with announcement number: CN113625787B, is a control device, control method and cleaning system applied to a cleaning system, which specifically includes an infusion mechanism, an adjustment mechanism and a detection module. The control device includes a communicator and a processor, and the communicator is coupled to the adjustment mechanism and the detection module; the processor is coupled to the communicator, and is used to: receive cleaning information from the detection module through the communicator; determine adjustment information for adjusting the flow rate of the cleaning liquid delivered by the infusion mechanism according to the cleaning information; based on the adjustment information, send a first control instruction to the adjustment mechanism through the communicator to control the adjustment mechanism to adjust the infusion mechanism to adjust the flow rate of the cleaning liquid delivered by the infusion mechanism. The liquid supply volume of the infusion mechanism in the cleaning device applied for can be adjusted automatically, the wiping accuracy is high, the wiping quality is good, it is suitable for large-scale operations, and infusion abnormalities can be monitored.

[0004] Based on the above scheme, it can be seen that for cleaning control methods, the existing technology often focuses on automatic adjustment. Although automatic cleaning is achieved by controlling the cleaning equipment, in actual applications, the dimensions considered are not enough. Usually, the cleaning liquid is simply called up and used directly. This usually simply cleans the milk basin, and there are many types of contaminants in the milk basin, which may require multiple rounds of cleaning. Therefore, direct cleaning will result in poor cleaning effect and cannot guarantee the effectiveness of the cleaning effect. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a milk basin cleaning control method and cleaning equipment based on big data. To achieve the above objectives, the present invention is implemented through the following technical solutions: In the first aspect, a milk basin cleaning control method based on big data is provided, comprising:

[0006] Marking the milk basin to be cleaned as the milk basin to be cleaned, extracting the material of the milk basin to be cleaned from the database, and matching the material of the milk basin to be cleaned to obtain various suitable cleaning agents for the milk basin to be cleaned, which are recorded as various candidate cleaning agents;

[0007] The integrated sensor is used to collect the surface image of the milk basin to be cleaned, and the pollution parameters of the milk basin to be cleaned are counted therefrom, and the pollution coefficient of the milk basin to be cleaned is generated through processing;

[0008] Based on the pollution coefficient of the milk basin to be cleaned, basic data of each candidate cleaning agent is statistically processed to obtain a designated cleaning agent for the milk basin to be cleaned;

[0009] The cleaning equipment controls the designated cleaning agent to clean the milk basin to be cleaned, and monitors the cleaning process in real time to obtain the real-time monitoring results of the cleaning of the milk basin to be cleaned;

[0010] Based on the real-time monitoring result of the cleaning of the milk basin to be cleaned, if the real-time monitoring result of the cleaning is effective cleaning, the cleaning equipment is controlled to stop cleaning; if the real-time monitoring result of the cleaning is ineffective cleaning, the cleaning equipment is controlled to continue to perform the cleaning operation until the real-time monitoring result of the cleaning is effective cleaning.

[0011] As a preferred technical solution, the cleaning agents suitable for the milk bowl to be cleaned are obtained based on the material matching of the milk bowl to be cleaned, and the specific process is as follows:

[0012] The material of the milk bowl to be cleaned is obtained, and matched with the applicable cleaning agents corresponding to the material pre-stored in the database to obtain the applicable cleaning agents for the milk bowl to be cleaned, which are recorded as the candidate cleaning agents.

[0013] As a preferred technical solution, the integrated sensor is used to collect the surface image of the milk basin to be cleaned, and the pollution parameters of the milk basin to be cleaned are counted therefrom, specifically including:

[0014] The surface image of the milk basin to be cleaned is collected by an integrated sensor, and based on the surface image of the milk basin to be cleaned, the original clean image of the milk basin to be cleaned is retrieved from a database, and the contamination parameters of the milk basin to be cleaned are obtained by comparison;

[0015] The contamination parameters include the attachment area and average thickness of various contaminants.

[0016] As a preferred technical solution, the pollution coefficient of the milk basin to be cleaned is generated by processing, and the specific processing conditions are:

[0017]

[0018] Among them, P is the pollution coefficient of the milk basin to be cleaned, A is the total surface area of ​​the milk basin to be cleaned, T is the maximum thickness of the milk basin extracted from the database, α i is the impact factor of the i-th pollutant, T i is the initial average thickness of the i-th contaminant on the milk basin to be cleaned, A iis the initial attachment area of ​​the i-th pollutant on the milk basin to be cleaned, i is the number of various types of pollutants, i=1,2,3,...,n, n is the number of pollutant types, ω1 is the pollutant area weight factor, and ω2 is the pollutant thickness weight factor.

[0019] As a preferred technical solution, the pollution coefficient of the milk basin to be cleaned is based on the basic data of each candidate cleaning agent, and the designated cleaning agent for the milk basin to be cleaned is obtained by statistically processing the basic data of each candidate cleaning agent, and specifically includes:

[0020] Based on the pollution coefficient of the milk basin to be cleaned, the estimated consumption of each candidate cleaning agent in each pollution coefficient interval is extracted from the database, thereby screening out the estimated consumption of each candidate cleaning agent in the pollution coefficient of the milk basin to be cleaned, which is recorded as the estimated cleaning consumption of each candidate cleaning agent;

[0021] The basic data of each candidate cleaning agent is collected, wherein the basic data includes shelf life, remaining shelf life, and number of uses, and the cleaning score of each candidate cleaning agent is obtained by processing. The specific processing conditions are:

[0022]

[0023] Among them, S m is the cleaning score of the mth candidate cleaning agent, B m is the number of times the mth alternative cleaning agent is used, D m is the remaining shelf life of the mth candidate cleaning agent, D m,max is the shelf life of the mth candidate cleaning agent, C m is the estimated cleaning consumption of the mth alternative cleaning agent, is the usage frequency weight factor, is the weight factor of the remaining shelf life of the detergent, is the weight factor of the estimated cleaning consumption of the cleaning agent, e is a constant, m is the number of the alternative cleaning agent, m=1,2,3,...,q, q is the number of the alternative cleaning agents;

[0024] Based on the cleaning scores of the candidate cleaning agents, the cleaning agent with the highest score is selected as the designated cleaning agent for the milk basin to be cleaned.

[0025] As a preferred technical solution, the cleaning device controls the designated cleaning agent to clean the milk basin, specifically including:

[0026] The milk basin to be cleaned is cleaned and controlled, the milk basin to be cleaned is placed on the track of the cleaning device, the outer cleaner of the cleaning device cleans the outer side of the milk basin, and the inner cleaner of the cleaning device cleans the inner side of the milk basin.

[0027] As a preferred technical solution, the cleaning process is monitored in real time to obtain the real-time monitoring results of the cleaning of the milk basin to be cleaned. The specific processing conditions are:

[0028] The cleaning process is detected in real time to obtain the real-time cumulative area of ​​pollutants and the real-time average thickness of pollutants in the milk basin to be cleaned, and the real-time monitoring value of the cleaning of the milk basin to be cleaned is obtained by processing. The specific processing conditions are:

[0029]

[0030] Among them, R t is the cleaning monitoring value of the milk basin to be cleaned, T i is the initial average thickness of the i-th contaminant on the milk basin to be cleaned, A i is the initial attachment area of ​​the i-th pollutant on the milk basin to be cleaned, A′ is the real-time cumulative area of ​​pollutants in the milk basin to be cleaned, T′ is the real-time average thickness of pollutants in the milk basin to be cleaned, β1 is the pollutant area influencing factor, β2 is the pollutant thickness influencing factor, i is the number of various types of pollutants, i=1,2,3,...,n, n is the number of pollutant types, e is a constant,.

[0031] As a preferred technical solution, the real-time cleaning monitoring result of the milk basin to be cleaned is obtained, specifically including:

[0032] The real-time monitoring value of the cleanliness of the milk basin to be cleaned is compared with the cleaning monitoring threshold. If the real-time monitoring value of the cleanliness of the milk basin to be cleaned is less than the cleaning monitoring threshold, the real-time cleaning monitoring result is judged to be effective cleaning. If the real-time monitoring value of the cleanliness is greater than or equal to the cleaning monitoring threshold, the real-time cleaning monitoring result is judged to be ineffective cleaning.

[0033] As a preferred technical solution, the real-time monitoring of the cleaning process also includes monitoring the cleaning equipment, obtaining the monitoring results of the cleaning equipment and issuing an early warning. The specific process is:

[0034] Monitor the rotating motor of the cleaning equipment to obtain the real-time current, real-time voltage, real-time vibration frequency and real-time speed of the rotating motor during the cleaning process, and process to obtain the real-time abnormal operation value of the rotating motor of the cleaning equipment;

[0035] The real-time abnormal operation value of the rotating motor of the cleaning equipment, the specific processing process is:

[0036]

[0037] Among them, G is the real-time abnormal value of the rotating motor of the cleaning equipment, I t is the real-time current value of the rotating motor, V t is the real-time voltage value of the rotating motor, f tis the real-time vibration frequency of the rotating motor, N t is the real-time speed of the rotating motor, I is the ideal current value of the rotating motor, V is the ideal voltage value of the rotating motor, f is the ideal vibration frequency of the rotating motor, N is the ideal rotating motor speed, γ1 is the current weight factor, γ2 is the voltage weight factor, γ3 is the vibration frequency weight factor, γ4 is the rotating motor speed weight factor, and e is a constant;

[0038] The real-time operation abnormality value of the rotating motor of the cleaning equipment is compared with the real-time operation abnormality trigger value of the rotating motor in the database. If the real-time operation abnormality value of the rotating motor is lower than the real-time operation abnormality trigger value of the rotating motor, the monitoring result of the cleaning equipment is defined as normal operation. If it is higher than or equal to the real-time operation abnormality trigger value of the rotating motor, the monitoring result of the cleaning equipment is defined as abnormal operation, and an early warning is issued.

[0039] On the other hand, a cleaning device is also provided, comprising:

[0040] The invention comprises an outer cleaner (3) and an inner cleaner (4); the milk basin (1) is movably mounted on a track (2); the outer cleaner (3) is used to clean the outer side of the milk basin (1); the inner cleaner (4) is used to clean the inner side of the milk basin (1); the inner cleaner (4) comprises a rotating mechanism (4a), a lifting mechanism (4b), an outward expansion mechanism (4c), a top brush (4d) and a plurality of vertical inner brushes (4e); the plurality of vertical inner brushes (4e) are used to contact the inner side of the milk basin (1); the plurality of vertical inner brushes (4e) are mounted on the lifting mechanism (4a) and the inner brushes (4e) are used to contact the inner side of the milk basin (1); the plurality of vertical inner brushes (4e) are installed on the lifting mechanism (4b) and the inner brushes (4d) are used to contact the inner side of the milk basin (1); the plurality of vertical inner brushes (4e) are used to contact the inner side of the milk basin (1); the plurality of vertical inner brushes (4e) are installed on the lifting mechanism (4c) and the inner brushes (4d) are used to contact the inner side of the milk basin (1); the plurality of vertical inner brushes (4e ... The invention relates to a milk bowl (1) and a milk bowl (1). The milk bowl (1) is provided with a plurality of vertical inner brushes (4e) and a lifting mechanism (4b) configured to drive the plurality of vertical inner brushes (4e) to perform outward expansion movement. The top brush (4d) is located at the top of the plurality of vertical inner brushes (4e). The top brush (4d) is fixedly mounted on the outward expansion mechanism (4c) via a mounting column. The top brush (4d) is configured to contact the bottom of the inner edge of the milk bowl (1). The lifting mechanism (4b) is configured to lift the top brush (4d) and the vertical inner brush (4e) upward, and the vertical inner brush (4e) can contact the inner edge of the milk bowl (1). The rotating mechanism (4a) is configured to drive the outward expansion mechanism (4c) to rotate.

[0041] Compared with the prior art, the embodiments of the present invention have at least the following beneficial effects:

[0042] (1) The present invention provides a milk basin cleaning control method based on big data. By obtaining the material of the milk basin to be cleaned, the type of cleaning agent that will not cause damage to the milk basin to be cleaned is pre-selected, and then by obtaining the parameters of the pollutants, the most suitable cleaning agent is accurately selected, thereby improving the cleaning efficiency and avoiding waste of resources.

[0043] (2) The present invention performs real-time detection on the cleaning process and processes the real-time monitoring value of the cleaning of the milk basin to be cleaned, thereby ensuring that the cleanliness of the milk basin to be cleaned meets the requirements and avoiding the cumbersome steps caused by secondary detection.

[0044] (3) The present invention monitors the cleaning equipment and issues early warning based on the monitoring results of the cleaning equipment, thereby avoiding accidents caused by malfunction of the cleaning equipment and ensuring the safety of the staff.

[0045] Of course, any product implementing the present invention does not necessarily need to achieve all of the above advantages at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a schematic diagram of the method flow of the present invention;

[0047] Figure 2 This is a schematic diagram of the three-dimensional structure of a milk basin cleaning device in a cleaning state according to an embodiment of the present invention;

[0048] Figure 3 A front view of a milk basin cleaning device in an initial state according to an embodiment of the present invention;

[0049] Figure 4 A schematic diagram of the three-dimensional structure of an inner cleaning device of a milk basin cleaning device according to an embodiment of the present invention;

[0050] Figure 5 A partial front view of an inner cleaning device of a milk bowl cleaning device according to an embodiment of the present invention;

[0051] Figure 6 It is a schematic diagram of the three-dimensional structure of an outer cleaning device of a milk basin cleaning device involved in an embodiment of the present invention;

[0052] Figure 7 It is a three-dimensional structural schematic diagram of an outward expansion mechanism 1 of a milk basin cleaning device involved in an embodiment of the present invention;

[0053] Figure 8 The present invention is a schematic diagram of a three-dimensional structure of a rotating mechanism 1 of a milk basin cleaning device according to an embodiment of the present invention.

[0054] Explanation of the reference numerals in the accompanying drawings: 1. milk basin; 2. track; 3. outer cleaner; 3a. rotating mechanism 2; 3b. lifting mechanism 2; 3c. outward expansion mechanism 2; 3d. bottom brush; 3e. vertical outer brush; 4. inner cleaner; 4a. rotating mechanism 1; 4a1. rotating motor; 4a2. rotating gear; 4a3. gear ring; 4a4. supporting seat; 4b. lifting mechanism 1; 4b1. electric push rod; 4b2. clamping plate; 4c. outward expansion mechanism 1; 4c1. guide slide plate; 4c2. slider; 4c3. hinged rod; 4c4. resistance spring; 4c5. displacement ring; 4c6. adjusting nut; 4c7. screw; 4c8. clamping strip; 4d. top brush; 4e. vertical inner brush. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] In the description of the present invention, it should be understood that the terms "opening", "upper", "lower", "thickness", "top", "middle", "length", "inside", "all around" and the like indicating orientation or positional relationship are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the components or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0057] See also Figure 1 As shown, an embodiment of the present invention provides a milk basin cleaning control method based on big data, which specifically includes:

[0058] Marking the milk basin to be cleaned as the milk basin to be cleaned, extracting the material of the milk basin to be cleaned from the database, and matching the material of the milk basin to be cleaned to obtain various suitable cleaning agents for the milk basin to be cleaned, which are recorded as various candidate cleaning agents;

[0059] The material of the milk basin to be cleaned includes stainless steel, plastic, aluminum, glass, ceramics and the like.

[0060] The specific process of obtaining the appropriate cleaning agents for the milk bowl to be cleaned based on the material matching of the milk bowl to be cleaned is as follows:

[0061] The material of the milk bowl to be cleaned is obtained, and matched with the set of applicable cleaning agents corresponding to the material pre-stored in the database to obtain the applicable cleaning agents for the milk bowl to be cleaned, which are recorded as the alternative cleaning agents. The alternative cleaning agents refer to multiple cleaning agents suitable for the material of the milk bowl to be cleaned. Except for the alternative cleaning agents, there are no other main cleaning agents.

[0062] It should be noted that using inappropriate cleaning agents to clean the milk basin will cause damage to the basin. For example, if the material of the milk basin is stainless steel, but a chlorine-containing cleaning agent such as bleach is used, the oxide layer on the surface of the stainless steel may be damaged, causing corrosion. If the material of the milk basin is plastic, but a cleaning agent containing organic solvents such as benzene, toluene, and xylene is used, the plastic may be dissolved or softened. Therefore, choosing the appropriate cleaning agent for each material is important to extend the service life of the milk basin.

[0063] By obtaining the material of the milk basin to be cleaned, the type of cleaning agent that will not cause damage to the milk basin to be cleaned is pre-selected, and then by obtaining the parameters of the pollutants, the most suitable cleaning agent is accurately selected, thereby improving the cleaning efficiency and avoiding waste of resources.

[0064] The integrated sensor is used to collect the surface image of the milk basin to be cleaned, and the pollution parameters of the milk basin to be cleaned are counted therefrom, and the pollution coefficient of the milk basin to be cleaned is generated through processing;

[0065] The method collects the surface image of the milk basin to be cleaned by the integrated sensor and counts the pollution parameters of the milk basin to be cleaned, specifically including:

[0066] The surface image of the milk basin to be cleaned is collected by an integrated sensor, and based on the surface image of the milk basin to be cleaned, the original clean image of the milk basin to be cleaned is retrieved from a database, and the contamination parameters of the milk basin to be cleaned are obtained by comparison;

[0067] The contamination parameters include the attachment area and average thickness of various contaminants.

[0068] It should be added that common pollutants in milk bowls include milk residues, mineral precipitation, dust and feed residues. Among them, milk residues are the most common, mainly including milk components such as protein, fat and lactose. These residues easily dry on the surface of the milk bowl and form a sticky layer.

[0069] The integrated sensor includes a scanner and an image processing unit. The method of collecting the surface image of the milk basin to be cleaned by the integrated sensor specifically includes: when the milk basin to be cleaned is placed at a specified position of the cleaning equipment, the scanning program controls the scanner in the integrated sensor to scan the milk basin according to a path and angle preset in a database, after obtaining multiple images of the surface of the milk basin, using image processing technology to splice these images, and through the splicing technology, the multiple images are synthesized into a complete surface image of the milk basin, based on the surface image of the milk basin to be cleaned, the pollution parameters of the milk basin to be cleaned are obtained by comparing it with the original clean image of the milk basin to be cleaned.

[0070] The pollution coefficient of the milk basin to be cleaned is generated by processing, and the specific processing conditions are:

[0071]

[0072] Among them, P is the pollution coefficient of the milk basin to be cleaned, A is the total surface area of ​​the milk basin to be cleaned, T is the maximum thickness of the milk basin extracted from the database, α i is the impact factor of the i-th pollutant, T i is the initial average thickness of the i-th contaminant on the milk basin to be cleaned, A i is the initial attachment area of ​​the i-th pollutant on the milk basin to be cleaned, i is the number of various types of pollutants, i=1,2,3,...,n, n is the number of pollutant types, ω1 is the pollutant area weight factor, and ω2 is the pollutant thickness weight factor.

[0073] It is worth noting that the pollutant area weight factor and the pollutant thickness weight factor have a value range between 0 and 1, and satisfy ω1+ω2=1. In the embodiment, the pollutant area weight factor is an influence factor corresponding to the pollutant area value preset in the database, indicating the numerical value of the influence of the pollutant area on the pollution coefficient of the milk basin to be cleaned. The pollutant area weight factor can be directly obtained from the database when used, and the corresponding relationship can be a preset mapping relationship. For example, the pollution coefficient of the milk basin and the pollutant area weight factor corresponding to the pollutant area form a mapping set, and the real-time pollutant area of ​​the milk basin to be cleaned is input into the mapping set to obtain the pollutant area weight factor, wherein the mapping relationship is one-to-one correspondence; the pollutant thickness weight factor is an influence factor corresponding to the pollutant thickness value preset in the database, indicating the numerical value of the influence of the pollutant thickness on the pollution coefficient of the milk basin to be cleaned. The pollutant thickness weight factor can be directly obtained from the database when used, and the corresponding relationship can be a preset mapping relationship. For example, the pollution coefficient of the milk basin and the pollutant thickness weight factor corresponding to the pollutant thickness form a mapping set, and the real-time pollutant thickness of the milk basin to be cleaned is input into the mapping set to obtain the pollutant thickness weight factor, wherein the mapping relationship is one-to-one correspondence.

[0074] The influencing factors of various pollutants on the milk basin to be cleaned have a value range between 0 and 1. In an embodiment, the preset values ​​can be directly extracted from the database. In the application, the influencing factors of various pollutants are the influencing factors corresponding to various pollutants preset in the database, which represent the numerical value of the influence of the type of pollutant on the pollution coefficient of the milk basin to be cleaned. When used, the influencing factors of various pollutants can be directly obtained from the database, and the corresponding relationship can be a preset mapping relationship. For example, the pollution coefficient of the milk basin and the influencing factors corresponding to various pollutants form a mapping set, and a certain type of pollutant in the real-time milk basin to be cleaned is input into the mapping set to obtain the influence factor of the pollutant, and the mapping relationship is one-to-one correspondence.

[0075] It should be added that there is a certain correlation between the area and thickness of the contaminants. If the contaminants are deposited on the surface in a uniform manner, such as at the bottom of the milk basin to be cleaned, then the area and thickness of the contaminants are positively correlated, that is, the larger the contamination area, the greater the thickness of the contaminants. If the contaminants are deposited on the basin wall, then the area and thickness of the contaminants are negatively correlated, that is, due to the influence of gravity, the larger the area of ​​the contaminants, the smaller the thickness of the contaminants.

[0076] Based on the pollution coefficient of the milk basin to be cleaned, basic data of each candidate cleaning agent is statistically processed to obtain a designated cleaning agent for the milk basin to be cleaned;

[0077] The contamination coefficient of the milk basin to be cleaned is based on the basic data of each candidate cleaning agent and is processed by counting the basic data of each candidate cleaning agent, specifically including:

[0078] Based on the pollution coefficient of the milk basin to be cleaned, the estimated consumption of each candidate cleaning agent in each pollution coefficient interval is extracted from the database, thereby screening out the estimated consumption of each candidate cleaning agent in the pollution coefficient of the milk basin to be cleaned, which is recorded as the estimated cleaning consumption of each candidate cleaning agent;

[0079] In this embodiment, the alternative detergents are neutral detergent, weak alkaline detergent, weak acid detergent, baking soda and citric acid detergent. The pollution coefficient of the milk basin to be cleaned is 2. According to the range of pollution coefficients 2-3 corresponding to each alternative detergent, the estimated consumption of neutral detergent is 50 ml, the estimated consumption of weak alkaline detergent is 75 ml, the estimated consumption of weak acid detergent is 40 ml, the estimated consumption of baking soda is 60 ml, and the estimated consumption of citric acid detergent is 55 ml.

[0080] The basic data of each candidate cleaning agent is collected, wherein the basic data includes shelf life, remaining shelf life, and number of uses, and the cleaning score of each candidate cleaning agent is obtained by processing. The specific processing conditions are:

[0081]

[0082] Among them, S m is the cleaning score of the mth candidate cleaning agent, B m is the number of times the mth alternative cleaning agent is used, D m is the remaining shelf life of the mth candidate cleaning agent, D m,max is the shelf life of the mth candidate cleaning agent, C m is the estimated cleaning consumption of the mth alternative cleaning agent, is the usage frequency weight factor, is the weight factor of the remaining shelf life of the detergent, is the weight factor of the estimated cleaning consumption of the cleaning agent, e is a constant, m is the number of the alternative cleaning agent, m=1,2,3,...,q, q is the number of the alternative cleaning agents;

[0083] It should be noted that the basic data of each candidate detergent can be automatically statistically extracted from the backend of the detergent inventory management system.

[0084] Based on the cleaning scores of the candidate cleaning agents, the cleaning agent with the highest score is selected as the designated cleaning agent for the milk basin to be cleaned.

[0085] It is worth noting that the weight factor of the number of uses, the weight factor of the remaining shelf life of the detergent, and the weight factor of the estimated cleaning consumption of the detergent all have a value range between 0 and 1 and meet the following conditions: In an embodiment, the usage frequency weighting factor is an influence factor corresponding to the cleaning score of each alternative cleaning agent preset in the database, and indicates a numerical value of the influence of the usage frequency on the cleaning score of each alternative cleaning agent. When used, the usage frequency weighting factor can be directly obtained from the database, and the corresponding relationship is a preset mapping relationship, for example: the cleaning score of each alternative cleaning agent and the usage frequency weighting factor corresponding to the usage frequency form a mapping set, and the real-time usage frequency of the alternative cleaning agent is input into the mapping set to obtain the usage frequency weighting factor, wherein the mapping relationship is one-to-one correspondence; the detergent remaining shelf life weighting factor is an influence factor corresponding to the cleaning score of each alternative cleaning agent preset in the database, and indicates a numerical value of the influence of the remaining shelf life on the cleaning score of each alternative cleaning agent. When used, the usage frequency weighting factor can be directly obtained from the database, and the corresponding relationship is a preset mapping relationship, for example For example: the cleaning score of each alternative cleaning agent and the weight factor of the remaining shelf life of the cleaning agent corresponding to the remaining shelf life form a mapping set, and the real-time remaining shelf life of the alternative cleaning agent is input into the mapping set to obtain the remaining shelf life of the cleaning agent, and the mapping relationship is one-to-one correspondence; the expected cleaning consumption of the cleaning agent is the influencing factor corresponding to the cleaning score of each alternative cleaning agent preset in the database, which represents the numerical value of the degree of influence of the expected cleaning consumption on the cleaning score of each alternative cleaning agent. When used, the weight factor of the expected cleaning consumption of the cleaning agent can be directly obtained from the database, and the corresponding relationship is a pre-set mapping relationship. For example: the cleaning score of each alternative cleaning agent and the weight factor of the expected cleaning consumption of the cleaning agent corresponding to the expected cleaning consumption form a mapping set, and the real-time expected cleaning consumption of the alternative cleaning agent is input into the mapping set to obtain the expected cleaning consumption weight factor of the cleaning agent, and the mapping relationship is one-to-one correspondence.

[0086] The following table provides examples of cleaning scores for five groups of candidate cleaning agents, i.e., q=5. In this example, the weight factor of the number of uses, the weight factor of the remaining shelf life of the cleaning agent, and the weight factor of the estimated cleaning consumption of the cleaning agent are set to 0.3, 0.4, and 0.3, respectively. The specific output cleaning scores are as follows:

[0087] Table 1 Examples of cleaning scores for candidate cleaning agents

[0088]

[0089]

[0090] As shown in the above table, the cleaning score of the alternative detergent reflects the cleaning efficiency and remaining shelf life of the alternative detergent. The more times an alternative detergent is used, the shorter the remaining shelf life, and the less the expected cleaning consumption, the greater the cleaning score of the alternative detergent. This is because a large number of uses means that the detergent has been verified many times, indicating that it performs stably and effectively in multiple cleaning tasks. Frequently used detergents are generally considered to perform well in actual applications and are therefore worthy of priority consideration. Secondly, a shorter remaining shelf life means that the detergent is about to expire. Giving priority to this detergent can avoid expiration waste and maximize the use of existing inventory. Then, detergents with less expected cleaning consumption are more applicable in the current cleaning task, which means that the cleaning task can be completed with a smaller amount to avoid waste of resources. In summary, alternative detergents with larger cleaning scores are more suitable as designated detergents for the milk basin to be cleaned. From the above table, it can be seen that the estimated consumption of the alternative cleaning agent No. 1 is lower than the average consumption, and the remaining shelf life is short, so it needs to be used in time to avoid wasting resources. It can also be seen from the table that the cleaning score of the alternative cleaning agent No. 1 is the highest, so this alternative cleaning agent is most suitable for cleaning the milk basin.

[0091] The present invention takes into account the remaining shelf life of each candidate cleaning agent and preferentially uses a suitable cleaning agent that is close to expiration, thereby avoiding waste of resources due to expiration and also avoiding damage to the milk basin caused by using the expired cleaning agent.

[0092] The cleaning equipment controls the designated cleaning agent to clean the milk basin to be cleaned, and monitors the cleaning process in real time to obtain the real-time monitoring value of the cleaning of the milk basin to be cleaned;

[0093] The cleaning device controls the designated cleaning agent to clean the milk basin, specifically including:

[0094] The milk basin to be cleaned is cleaned and controlled. The milk basin to be cleaned is placed on the track of the cleaning equipment. The outer cleaner of the cleaning equipment cleans the outer side of the milk basin, and the inner cleaner of the cleaning equipment cleans the inner side of the milk basin. The specific process is as follows:

[0095] The milk basin (1) to be cleaned is transported along the track (2), the outer cleaner (3) is used to clean the outer edge of the milk basin (1) to be cleaned, and the inner cleaner (4) is used to clean the inner edge of the milk basin (1) to be cleaned. The milk basin (1) to be cleaned is installed in an inverted state. During cleaning, the outer cleaner (3) and the inner cleaner (4) wrap the milk basin (1) to be cleaned, the top brush (4d) cleans the inner edge of the milk basin (1), and the vertical inner brush (4e) cleans the inner edge of the milk basin (1). The inner edge of the milk bowl (1) is cleaned, the outward expansion mechanism (4c) adjusts the positions of the plurality of vertical inner brushes (4e) outwardly so that the vertical inner brushes (4e) can contact the inner edge of the milk bowl (1) to be cleaned, the lifting mechanism (4b) lifts the vertical inner brushes (4e) and the top brush (4d) upward, so that the rotating mechanism (4a) drives the vertical inner brushes (4e) and the top brush (4d) to rotate, and the vertical inner brushes (4e) and the top brush (4d) scrub the inside of the milk bowl (1).

[0096] The cleaning process is monitored in real time to obtain the real-time monitoring result of the cleaning of the milk basin to be cleaned. The specific processing conditions are:

[0097] The cleaning process is detected in real time to obtain the real-time cumulative area of ​​pollutants and the real-time average thickness of pollutants in the milk basin to be cleaned, and the real-time monitoring value of the cleaning of the milk basin to be cleaned is obtained by processing. The specific processing conditions are:

[0098]

[0099] Among them, R t is the cleaning monitoring value of the milk basin to be cleaned, T i is the initial average thickness of the i-th contaminant on the milk basin to be cleaned, A i is the initial attachment area of ​​the i-th pollutant on the milk basin to be cleaned, A′ is the real-time cumulative area of ​​pollutants in the milk basin to be cleaned, T′ is the real-time average thickness of pollutants in the milk basin to be cleaned, β1 is the pollutant area influencing factor, β2 is the pollutant thickness influencing factor, i is the number of various types of pollutants, i=1,2,3,...,n, n is the number of pollutant types, and e is a constant.

[0100] It is worth noting that the pollutant area influence factor and the pollutant thickness influence factor have a value range between 0 and 1, and satisfy β1+β2=1. In the embodiment, the pollutant area weight factor is an influence factor corresponding to the pollutant area value preset in the database, indicating the numerical value of the influence of the pollutant area on the pollution coefficient of the milk basin to be cleaned. The pollutant area weight factor can be directly obtained from the database when used, and the corresponding relationship can be a preset mapping relationship. For example, the pollution coefficient of the milk basin and the pollutant area weight factor corresponding to the pollutant area form a mapping set, and the real-time pollutant area of ​​the milk basin to be cleaned is input into the mapping set to obtain the pollutant area weight factor, wherein the mapping relationship is one-to-one correspondence; the pollutant thickness weight factor is an influence factor corresponding to the pollutant thickness value preset in the database, indicating the numerical value of the influence of the pollutant thickness on the pollution coefficient of the milk basin to be cleaned. The pollutant thickness weight factor can be directly obtained from the database when used, and the corresponding relationship can be a preset mapping relationship. For example, the pollution coefficient of the milk basin and the pollutant thickness weight factor corresponding to the pollutant thickness form a mapping set, and the real-time pollutant thickness of the milk basin to be cleaned is input into the mapping set to obtain the pollutant thickness weight factor, wherein the mapping relationship is one-to-one correspondence.

[0101] Based on the real-time monitoring value of the cleaning of the milk basin to be cleaned, if the real-time monitoring value of the cleaning is effective cleaning, the cleaning device is controlled to stop cleaning; if the real-time monitoring value of the cleaning is ineffective cleaning, the cleaning device is controlled to continue the cleaning operation until the real-time monitoring value of the cleaning is effective cleaning.

[0102] The obtaining of the real-time cleaning monitoring result of the milk basin to be cleaned specifically includes:

[0103] The real-time monitoring value of the cleanliness of the milk basin to be cleaned is compared with the cleaning monitoring threshold extracted from the database. If the real-time monitoring value of the cleanliness of the milk basin to be cleaned is less than the cleaning monitoring threshold, the real-time cleaning monitoring result is judged to be effective cleaning. If the real-time monitoring value of the cleanliness is greater than or equal to the cleaning monitoring threshold, the real-time cleaning monitoring result is judged to be ineffective cleaning.

[0104] The real-time monitoring of the cleaning process also includes monitoring the cleaning equipment, obtaining the monitoring results of the cleaning equipment and issuing an early warning. The specific process is as follows:

[0105] Monitor the rotating motor of the cleaning equipment to obtain the real-time current, real-time voltage, real-time vibration frequency and real-time speed of the rotating motor during the cleaning process, and process to obtain the real-time abnormal operation value of the rotating motor of the cleaning equipment;

[0106] The real-time abnormal operation value of the rotating motor of the cleaning equipment, the specific processing process is:

[0107]

[0108] Among them, G is the real-time abnormal value of the rotating motor of the cleaning equipment, I t is the real-time current value of the rotating motor, V t is the real-time voltage value of the rotating motor, f t is the real-time vibration frequency of the rotating motor, N t is the real-time speed of the rotating motor, I is the ideal current value of the rotating motor, V is the ideal voltage value of the rotating motor, f is the ideal vibration frequency of the rotating motor, N is the ideal rotating motor speed, γ1 is the current weight factor, γ2 is the voltage weight factor, γ3 is the vibration frequency weight factor, γ4 is the rotating motor speed weight factor, and e is a constant;

[0109] It should be noted that the rotating motor current weight factor, rotating motor voltage weight factor, rotating motor vibration frequency weight factor and rotating motor speed weight factor all have a value range between 0 and 1, and satisfy γ1+γ2+γ3+γ4=1. In the embodiment, the current weight factor is an influence factor corresponding to the real-time operation abnormality value of the rotating motor of the cleaning equipment preset in the database, indicating the numerical value of the influence of the current on the real-time operation abnormality value of the rotating motor of the cleaning equipment. When used, the current weight factor can be directly obtained from the database, and the corresponding relationship is a preset mapping relationship. For example, the real-time operation abnormality value of the rotating motor of the cleaning equipment and the current weight factor corresponding to the current form a mapping set, and the real-time current is input into the mapping set to obtain the current weight factor, wherein the mapping relationship is one-to-one correspondence; the voltage weight factor is an influence factor corresponding to the real-time operation abnormality value of the rotating motor of the cleaning equipment preset in the database, indicating the numerical value of the influence of the voltage on the real-time operation abnormality value of the rotating motor of the cleaning equipment. When used, the voltage weight factor can be directly obtained from the database, and the corresponding relationship is a preset mapping relationship. For example, the real-time operation abnormality value of the rotating motor of the cleaning equipment and the voltage weight factor corresponding to the voltage form a mapping set, and the real-time voltage is input into the mapping set to obtain the current weight factor. The voltage weight factor is obtained by mapping the real-time operation abnormal value of the rotating motor of the cleaning equipment preset in the database, which indicates the numerical value of the influence of the vibration frequency on the real-time operation abnormal value of the rotating motor of the cleaning equipment. When used, the vibration frequency weight factor can be directly obtained from the database, and the corresponding relationship is a preset mapping relationship. For example, the real-time operation abnormal value of the rotating motor of the cleaning equipment and the vibration frequency weight factor corresponding to the vibration frequency form a mapping set, and the real-time vibration frequency is input into the mapping set to obtain the vibration frequency weight factor, and the mapping relationship is one-to-one; the rotating motor speed weight factor is the influence factor corresponding to the real-time operation abnormal value of the rotating motor of the cleaning equipment preset in the database, which indicates the numerical value of the influence of the rotating motor speed on the real-time operation abnormal value of the rotating motor of the cleaning equipment. When used, the rotating motor speed weight factor can be directly obtained from the database, and the corresponding relationship is a preset mapping relationship. For example, the real-time operation abnormal value of the rotating motor of the cleaning equipment and the rotating motor speed weight factor corresponding to the rotating motor speed form a mapping set, and the real-time rotating motor speed is input into the mapping set to obtain the rotating motor speed weight factor, and the mapping relationship is one-to-one.

[0110] It should be noted that the real-time current of the rotating motor, the real-time voltage of the rotating motor, the real-time vibration frequency of the rotating motor and the real-time speed of the rotating motor during the cleaning process have a certain correlation. Current and voltage are two basic electrical parameters of the rotating motor, and there is a direct relationship between them. According to Ohm's law, under constant resistance, an increase in current will lead to an increase in voltage. In this embodiment, the magnitude of the current generally reflects the load of the rotating motor. During the cleaning process, if the load of the rotating motor increases, for example, due to more pollutants or difficult cleaning, the current will also increase. The voltage is usually a fixed value provided by the power supply, but it may change due to power supply fluctuations or the voltage drop of the rotating motor itself. The increase in current may indicate that the rotating motor is bearing a greater load, which may be accompanied by an increase in vibration frequency, because the rotating motor requires more frequent vibrations to control the cleaning equipment to remove dirt. The increase in current is usually also accompanied by an increase in the speed of the rotating motor, and the vibration frequency and the real-time speed of the rotating motor are usually directly related. High-frequency vibration may mean a faster speed. The comprehensive changes in these parameters can reflect the operating status of the equipment. If the current, vibration frequency and speed increase at the same time, it indicates that the equipment is experiencing abnormal working conditions and requires maintenance or adjustment.

[0111] The real-time operation abnormality value of the rotating motor of the cleaning equipment is compared with the real-time operation abnormality trigger value of the rotating motor in the database. If the real-time operation abnormality value of the rotating motor is lower than the real-time operation abnormality trigger value of the rotating motor, the monitoring result of the cleaning equipment is defined as normal operation. If it is higher than or equal to the real-time operation abnormality trigger value of the rotating motor, the monitoring result of the cleaning equipment is defined as abnormal operation, and an early warning is issued.

[0112] In this embodiment, due to unstable power supply, the real-time current of the rotating motor reaches 6 amperes, causing the rotating motor to be overloaded. The sound and light alarm device on the cleaning equipment sends out a light signal to alert the operator.

[0113] In this embodiment, the present invention provides a milk basin cleaning device based on big data, which specifically includes:

[0114] The present invention provides a milk basin cleaning device, such as Figure 2-8As shown, a milk bowl cleaning device comprises an outer cleaner (3) and an inner cleaner (4); a milk bowl (1) is movably mounted on a track (2); the outer cleaner (3) is used to clean the outer side of the milk bowl (1); the inner cleaner (4) is used to clean the inner side of the milk bowl (1); the inner cleaner (4) comprises a rotating mechanism (4a), a lifting mechanism (4b), an outward expansion mechanism (4c), a top brush (4d) and a plurality of vertical inner brushes (4e); the plurality of vertical inner brushes (4e) are used to contact the inner side of the milk bowl (1); and the plurality of vertical inner brushes (4e) are mounted on the track (2). The lifting mechanism (4b) is used to drive the plurality of vertical inner brushes (4e) to perform outward expansion movement. The top brush (4d) is located at the top of the plurality of vertical inner brushes (4e). The top brush (4d) is fixedly mounted on the outward expansion mechanism (4c) through a mounting column. The top brush (4d) is used to contact the bottom of the inner edge of the milk basin (1). The lifting mechanism (4b) is used to lift the top brush (4d) and the vertical inner brush (4e) upward, and the vertical inner brush (4e) can contact the inner edge of the milk basin (1). The rotating mechanism (4a) is used to drive the outward expansion mechanism (4c) to rotate.

[0115] The invention comprises an outer cleaner 3 and an inner cleaner 4. The milk bowl 1 is movably mounted on the track 2. The movement of the milk bowl 1 can be driven by a chain, so that the push bar on the chain drives the milk bowl 1 to slide on the track 2. This technology is prior art. The outer cleaner 3 is used to clean the outer side of the milk bowl 1, and the inner cleaner 4 is used to clean the inner side of the milk bowl 1. The inner cleaner 4 comprises a rotating mechanism 4a, a lifting mechanism 4b, an outward expansion mechanism 4c, a top brush 4d and a plurality of vertical inner brushes 4e. The plurality of vertical inner brushes 4e are used to contact the inner side of the milk bowl 1. The plurality of vertical inner brushes 4e are mounted on a lifting mechanism 4b. The lifting mechanism 4b is used to drive the plurality of vertical inner brushes 4e to expand outward. The top brush 4d is located in the plurality of vertical inner brushes. The top of the brush 4e, the top brush 4d is fixedly installed on the outward expansion mechanism 4c through the mounting column, the top brush 4d is used to contact the inner edge bottom of the milk bowl 1, the lifting mechanism 4b is used to lift the top brush 4d and the vertical inner brush 4e upward, so that the top brush 4d can contact the inner edge bottom, and the vertical inner brush 4e can contact the inner edge of the milk bowl 1, and the rotating mechanism 4a is used to drive the outward expansion mechanism 4c to rotate, so that the outward expansion mechanism 4c drives the top brush 4d and the vertical inner brush 4e installed thereon to rotate together. When the milk bowl 1 is transported along the track 2 to the bottom of the inner cleaner 4, the lifting mechanism 4b will push the vertical inner brush 4e and the top brush 4d upwards, so that the vertical inner brush 4e and the top brush 4d are inserted into the interior of the milk bowl 1, and the vertical inner brush 4e and the top brush 4d are in contact with the interior of the milk bowl 1. Subsequently, the vertical inner brush 4e is driven to rotate by the rotating mechanism 4a, so that the vertical inner brush 4e and the top brush 4d can clean the interior of the milk bowl 1 during the rotation process.

[0116] The vertical inner brush 4e and the top brush 4d both use rubber bristles, which will wear out after long-term use, causing the bristles to become shorter. At this time, the outward expansion mechanism 1 4c needs to be adjusted to reduce the distance between the vertical inner brush 4e and the inner wall of the milk bowl 1. At the same time, the lifting mechanism 1 4b also needs to adjust the height of the top brush 4d to lift upward, so as to reduce the distance between the top brush 4d and the inner wall of the milk bowl 1.

[0117] The outer cleaner 3 includes a rotating mechanism 2 3a, a lifting mechanism 2 3b, an outward expansion mechanism 2 3c, a bottom brush 3d and multiple vertical outer brushes 3e. The multiple vertical outer brushes 3e are in contact with the outer edge of the milk basin 1. The vertical outer brush 3e is fixedly installed on the outward expansion mechanism 2 3c. The outward expansion mechanism 2 3c is used to drive the multiple vertical outer brushes 3e to retract inwardly. The bottom brush 3d is located at the top of the multiple vertical outer brushes 3e. The bottom brush 3d is fixedly installed on the outward expansion mechanism 2 3c through the mounting column 1. The bottom brush 3d is used to contact the bottom of the outer edge of the milk basin 1. The lifting mechanism 2 3b is used to lift the bottom brush 3d and the vertical outer brush 3e downward, so that the bottom brush 3d can contact the bottom of the outer edge, and the vertical outer brush 3e can contact the outer edge of the milk basin 1. The rotating mechanism 2 3a is used to drive the outward expansion mechanism 2 3c to rotate. When the milk basin 1 is transported along the track 2 to the bottom of the outer cleaner 3, the lifting mechanism 2 3b will push the vertical outer brush 3e and the bottom brush 3d downward, so that the vertical outer brush 3e wraps around the outer edge of the milk basin 1, and the bottom brush 3d contacts the top of the milk basin 1, and then the vertical outer brush 3e is driven to rotate by the rotating mechanism 2 3a, so that the vertical outer brush 3e and the bottom brush 3d can clean the outside of the milk basin 1 during the rotation process.

[0118] The outward expansion mechanism 1 4c includes a guide slide 4c1, a resistance spring 4c4, a displacement ring 4c5, an adjusting nut 4c6, a screw 4c7, a plurality of hinged rods 4c3 and a plurality of sliders 4c2. The guide slide 4c1 is fixedly mounted on the top of the screw 4c7. The plurality of sliders 4c2 are slidably connected to the guide slide 4c1. The guide slide 4c1 is provided with a plurality of strip-shaped slide grooves for the sliders 4c2 to slide horizontally. A plurality of vertical inner brushes 4e are respectively fixedly mounted on the plurality of sliders 4c2. One end of each hinged rod 4c3 is hinged to the slider 4c2, and the other end of the hinged rod 4c3 is hinged to the displacement ring 4c5. The adjusting nut 4c6 is meshed and mounted on the screw 4c7. The top of the adjusting nut 4c6 is in resistance to the displacement ring 4c5. The resistance spring 4c4 is used to apply an elastic force to the displacement ring 4c5 away from the milk basin 1. The outward expansion mechanism 2 3c has the same structure as the outward expansion mechanism 1 4c, except that the brushes installed on the sliders are different. When the vertical inner brush 4e is worn, it is necessary to adjust the vertical inner brush 4e outward. By screwing the adjustment nut 4c6 upward, the adjustment nut 4c6 will push the displacement ring 4c5 upward, so that the displacement ring 4c5 pushes the multiple sliders 4c2 to move outward through the hinge rod 4c3, that is, the vertical inner brush 4e moves outward, so that the vertical inner brush 4e is closer to the inside of the milk basin 1. The resistance spring 4c4 is sleeved on the screw rod 4c7, one end of the resistance spring 4c4 is in contact with the guide slide 4c1, and the other end is in contact with the displacement ring 4c5, so that the displacement ring 4c5 can be pressed against the adjustment nut 4c6 to position the displacement ring 4c5. When the resistance spring is applied to the outward expansion mechanism 1 4c, the resistance spring is used to support the displacement ring to prevent it from falling.

[0119] The rotating mechanism 1 4a includes a rotating motor 4a1, a rotating gear 4a2, a gear ring 4a3 and a support seat 4a4. The rotating motor 4a1 is fixedly mounted on the support seat 4a4. The rotating gear 4a2 is fixedly mounted on the output end of the rotating motor 4a1. The gear ring 4a3 is mounted on the support seat 4a4. The rotating gear 4a2 is meshed and connected with the gear ring 4a3. The middle part of the screw 4c7 is slidably connected with the gear ring 4a3, so that after the screw 4c7 is pushed upward, the rotating mechanism 1 4a can still drive the screw 4c7 to rotate. By controlling the rotating motor 4a1 to work, the rotating motor 4a1 can drive the gear ring 4a3 to rotate through the rotating gear 4a2, and the gear ring 4a3 will drive the screw 4c7 to rotate, that is, the vertical inner brush 4e and the top brush 4d are driven to rotate through the screw 4c7. Among them, the structure of the rotating mechanism 2 3a is the same as that of the rotating mechanism 1 4a.

[0120] A plurality of clips 4c8 are fixedly provided on the outer edge of the screw rod 4c7, and a clip groove for the clips 4c8 to be inserted into is provided in the middle of the gear ring 4a3. The screw rod 4c7 can slide vertically through the cooperation between the clips 4c8 and the clip groove, and when the gear ring 4a3 rotates, the gear ring 4a3 can drive the screw rod 4c7 to rotate.

[0121] The lifting mechanism 1 4b includes two electric push rods 4b1 and two clamping plates 4b2. The clamping plates 4b2 are fixedly mounted on the output end of the electric push rod 4b1. The clamping plates 4b2 are provided with an annular groove for the slider 4c2 to be clamped in. By controlling the electric push rod 4b1 to work, the electric push rod 4b1 will drive the clamping plates 4b2 upward, and the clamping plates 4b2 will push the slider 4c2 upward, thus driving the vertical inner brush 4e and the top brush 4d to move upward.

[0122] The present invention provides a milk basin cleaning control method based on big data. By obtaining the material of the milk basin to be cleaned, the type of detergent that will not cause damage to the milk basin to be cleaned is pre-selected, and then by obtaining the parameters of the pollutants, the most suitable detergent is accurately selected, thereby improving the cleaning efficiency and avoiding waste of resources.

[0123] The present invention detects the cleaning process in real time and processes to obtain the real-time monitoring value of the cleaning of the milk basin to be cleaned, thereby ensuring that the cleaning degree of the milk basin to be cleaned meets the requirements and avoiding the cumbersome steps caused by secondary detection.

[0124] The present invention monitors the cleaning equipment and obtains the monitoring result of the cleaning equipment for early warning, thereby avoiding accidents caused by malfunction of the cleaning equipment and ensuring the safety of the staff.

[0125] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0126] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. As long as they do not deviate from the structure of the present invention or exceed the scope defined by the present invention, they should all belong to the protection scope of the present invention.

Claims

1. A milk basin cleaning control method based on big data, characterized in that: include: Marking the milk basin to be cleaned as the milk basin to be cleaned, extracting the material of the milk basin to be cleaned from the database, and matching the material of the milk basin to be cleaned to obtain various suitable cleaning agents for the milk basin to be cleaned, which are recorded as various candidate cleaning agents; The integrated sensor is used to collect the surface image of the milk basin to be cleaned, and the pollution parameters of the milk basin to be cleaned are counted therefrom, and the pollution coefficient of the milk basin to be cleaned is generated through processing; Based on the pollution coefficient of the milk basin to be cleaned, basic data of each candidate cleaning agent is statistically processed to obtain a designated cleaning agent for the milk basin to be cleaned; The cleaning equipment controls the designated cleaning agent to clean the milk basin to be cleaned, and monitors the cleaning process in real time to obtain the real-time monitoring results of the cleaning of the milk basin to be cleaned; Based on the real-time monitoring result of the cleaning of the milk basin to be cleaned, if the real-time monitoring result of the cleaning is effective cleaning, the cleaning equipment is controlled to stop cleaning; if the real-time monitoring result of the cleaning is ineffective cleaning, the cleaning equipment is controlled to continue to perform the cleaning operation until the real-time monitoring result of the cleaning is effective cleaning.

2. The milk basin cleaning control method based on big data according to claim 1 is characterized in that: The specific process of obtaining the appropriate cleaning agents for the milk bowl to be cleaned based on the material matching of the milk bowl to be cleaned is as follows: The material of the milk bowl to be cleaned is obtained, and matched with the applicable cleaning agents corresponding to the material pre-stored in the database to obtain the applicable cleaning agents for the milk bowl to be cleaned, which are recorded as the candidate cleaning agents.

3. The milk basin cleaning control method based on big data according to claim 1 is characterized in that: The method collects the surface image of the milk basin to be cleaned by the integrated sensor and counts the pollution parameters of the milk basin to be cleaned, specifically including: The surface image of the milk basin to be cleaned is collected by an integrated sensor, and based on the surface image of the milk basin to be cleaned, the original clean image of the milk basin to be cleaned is retrieved from a database, and the contamination parameters of the milk basin to be cleaned are obtained by comparison; The contamination parameters include the attachment area and average thickness of various contaminants.

4. The milk basin cleaning control method based on big data according to claim 3 is characterized by: The pollution coefficient of the milk basin to be cleaned is generated by processing, and the specific processing conditions are: Among them, P is the pollution coefficient of the milk basin to be cleaned, A is the total surface area of ​​the milk basin to be cleaned, T is the maximum thickness of the milk basin extracted from the database, α i is the impact factor of the i-th pollutant, T i is the initial average thickness of the i-th contaminant on the milk basin to be cleaned, A i is the initial attachment area of ​​the i-th pollutant on the milk basin to be cleaned, i is the number of various types of pollutants, i=1,2,3,...,n, n is the number of pollutant types, ω1 is the pollutant area weight factor, and ω2 is the pollutant thickness weight factor.

5. The milk basin cleaning control method based on big data according to claim 4 is characterized in that: The method is based on the pollution coefficient of the milk basin to be cleaned, and the basic data of each candidate cleaning agent is statistically processed to obtain the designated cleaning agent for the milk basin to be cleaned, specifically including: Based on the pollution coefficient of the milk basin to be cleaned, the estimated consumption of each candidate cleaning agent in each pollution coefficient interval is extracted from the database, thereby screening out the estimated consumption of each candidate cleaning agent in the pollution coefficient of the milk basin to be cleaned, which is recorded as the estimated cleaning consumption of each candidate cleaning agent; The basic data of each candidate cleaning agent is collected, wherein the basic data includes shelf life, remaining shelf life, and number of uses, and the cleaning score of each candidate cleaning agent is obtained by processing. The specific processing conditions are: Among them, S m is the cleaning score of the mth candidate cleaning agent, B m is the number of times the mth alternative cleaning agent is used, D m is the remaining shelf life of the mth candidate cleaning agent, D m,max is the shelf life of the mth candidate cleaning agent, C m is the estimated cleaning consumption of the mth alternative cleaning agent, is the usage frequency weight factor, is the weight factor of the remaining shelf life of the detergent, is the weight factor of the estimated cleaning consumption of the cleaning agent, e is a constant, m is the number of the alternative cleaning agent, m=1,2,3,...,q, q is the number of the alternative cleaning agents; Based on the cleaning scores of the candidate cleaning agents, the cleaning agent with the highest score is selected as the designated cleaning agent for the milk basin to be cleaned.

6. The milk basin cleaning control method based on big data according to claim 5 is characterized in that: The cleaning device controls the designated cleaning agent to clean the milk basin, specifically including: The milk basin to be cleaned is cleaned and controlled, the milk basin to be cleaned is placed on the track of the cleaning device, the outer cleaner of the cleaning device cleans the outer side of the milk basin, and the inner cleaner of the cleaning device cleans the inner side of the milk basin.

7. The milk basin cleaning control method based on big data according to claim 5 is characterized by: The cleaning process is monitored in real time to obtain the real-time monitoring result of the cleaning of the milk basin to be cleaned. The specific processing conditions are: The cleaning process is detected in real time to obtain the real-time cumulative area of ​​pollutants and the real-time average thickness of pollutants in the milk basin to be cleaned, and the real-time monitoring value of the cleaning of the milk basin to be cleaned is obtained by processing. The specific processing conditions are: Among them, R t is the cleaning monitoring value of the milk basin to be cleaned, T i is the initial average thickness of the i-th contaminant on the milk basin to be cleaned, A i is the initial attachment area of ​​the i-th pollutant on the milk basin to be cleaned, A′ is the real-time cumulative area of ​​pollutants in the milk basin to be cleaned, T′ is the real-time average thickness of pollutants in the milk basin to be cleaned, β1 is the pollutant area influencing factor, β2 is the pollutant thickness influencing factor, i is the number of various types of pollutants, i=1,2,3,...,n, n is the number of pollutant types, and e is a constant.

8. The milk basin cleaning control method based on big data according to claim 1 is characterized by: The obtaining of the real-time monitoring result of the cleaning of the milk basin to be cleaned specifically includes: The real-time monitoring value of the cleanliness of the milk basin to be cleaned is compared with the cleaning monitoring threshold. If the real-time monitoring value of the cleanliness of the milk basin to be cleaned is less than the cleaning monitoring threshold, the real-time cleaning monitoring result is judged to be effective cleaning. If the real-time monitoring value of the cleanliness is greater than or equal to the cleaning monitoring threshold, the real-time cleaning monitoring result is judged to be ineffective cleaning.

9. The milk basin cleaning control method based on big data according to claim 1, characterized in that: The real-time monitoring of the cleaning process also includes monitoring the cleaning equipment, obtaining the monitoring results of the cleaning equipment and issuing an early warning. The specific process is as follows: Monitor the rotating motor of the cleaning equipment to obtain the real-time current, real-time voltage, real-time vibration frequency and real-time speed of the rotating motor during the cleaning process, and process to obtain the real-time abnormal operation value of the rotating motor of the cleaning equipment; The real-time abnormal operation value of the rotating motor of the cleaning equipment, the specific processing process is: Among them, G is the real-time abnormal value of the rotating motor of the cleaning equipment, I t is the real-time current value of the rotating motor, V t is the real-time voltage value of the rotating motor, f t is the real-time vibration frequency of the rotating motor, N t is the real-time speed of the rotating motor, I is the ideal current value of the rotating motor, V is the ideal voltage value of the rotating motor, f is the ideal vibration frequency of the rotating motor, N is the ideal rotating motor speed, γ1 is the current weight factor, γ2 is the voltage weight factor, γ3 is the vibration frequency weight factor, γ4 is the rotating motor speed weight factor, and e is a constant; The real-time operation abnormality value of the rotating motor of the cleaning equipment is compared with the real-time operation abnormality trigger value of the rotating motor in the database. If the real-time operation abnormality value of the rotating motor is lower than the real-time operation abnormality trigger value of the rotating motor, the monitoring result of the cleaning equipment is defined as normal operation. If it is higher than or equal to the real-time operation abnormality trigger value of the rotating motor, the monitoring result of the cleaning equipment is defined as abnormal operation, and an early warning is issued.

10. A cleaning device using the milk basin cleaning control method based on big data as claimed in any one of claims 1 to 9, characterized in that: include: An outer cleaner (3), an inner cleaner (4) and a controller, wherein the controller is used to collect data on the actions and operations of the outer cleaner and the inner cleaner during the cleaning process; The milk basin (1) is movably mounted on a track (2); an outer cleaner (3) is used to clean the outer side of the milk basin (1); an inner cleaner (4) is used to clean the inner side of the milk basin (1); the inner cleaner (4) comprises a rotating mechanism (4a), a lifting mechanism (4b), an outward expansion mechanism (4c), a top brush (4d) and a plurality of vertical inner brushes (4e); the plurality of vertical inner brushes (4e) are used to contact the inner side of the milk basin (1); the plurality of vertical inner brushes (4e) are mounted on the lifting mechanism (4b); the lifting mechanism A (4b) is used to drive the multiple vertical inner brushes (4e) to expand outwards, the top brush (4d) is located at the top of the multiple vertical inner brushes (4e), the top brush (4d) is fixedly mounted on the outward expansion mechanism (4c) through a mounting column, the top brush (4d) is used to contact the bottom of the inner edge of the milk basin (1), the lifting mechanism (4b) is used to lift the top brush (4d) and the vertical inner brush (4e) upwards, and the vertical inner brush (4e) can contact the inner edge of the milk basin (1), and the rotating mechanism (4a) is used to drive the outward expansion mechanism (4c) to rotate.

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