A cleaning management method, device, equipment and storage medium for a cleaning-in-place station

Abstract

The present invention discloses a cleaning management method, device, equipment and storage medium for an on-site cleaning station, and relates to the field of on-site cleaning technology. The method collects cleaning execution data of a cleaning line included in the on-site cleaning station, the cleaning execution data being generated by the cleaning line when cleaning a cleaning object according to a cleaning cycle; determines invalid cleaning data of the cleaning line in the cleaning cycle based on the cleaning execution data; determines invalid adjustment targets for invalid cleaning generated by the cleaning line during cleaning execution based on the invalid cleaning data, and adjusts the invalid adjustment targets according to a set cleaning adjustment strategy, so as to reduce invalid cleaning in the cleaning cycle by adjusting the invalid adjustment targets. This method effectively reduces the invalid cleaning time in the cleaning cycle, thereby shortening the overall on-site cleaning time, improving the production utilization rate of the cleaning equipment and the production capacity of the production equipment, reducing energy consumption and costs, and at the same time, further ensuring the quality of the produced products because the effective cleaning time is not changed.

Description

Technical Field

[0001] The present invention relates to the field of in-place cleaning technology, and in particular to a cleaning management method, device, equipment and storage medium for an in-place cleaning station. Background Art

[0002] In the dairy production process, cleaning equipment (such as tanks, pipes, pumps, etc.) and the entire production line is critical to ensuring product quality and food safety. Cleaning-in-place (CIP) technology, which performs cyclical cleaning within a closed loop of the equipment without disassembly, offers advantages such as ease of operation, safety, reliability, and labor and time savings. It is becoming increasingly widely used in the dairy and beverage industries.

[0003] During the entire CIP process, the waiting and pausing time during the cleaning process have the greatest impact on cleaning efficiency. However, there is currently no effective means to control and optimize the above time, resulting in a long CIP cycle, high energy consumption, and low cleaning efficiency, which in turn affects the production line's production efficiency and equipment utilization. Summary of the Invention

[0004] The present invention provides a cleaning management method, device, equipment and storage medium for a cleaning-in-place station to solve the problems of low cleaning efficiency and long cleaning time in the cleaning-in-place station, which leads to high cleaning costs and low production capacity.

[0005] In a first aspect, an embodiment of the present invention provides a cleaning management method for a cleaning-in-place station, the method comprising:

[0006] Collecting cleaning execution data of a cleaning line included in the in-situ cleaning station, wherein the cleaning execution data is generated by the cleaning line when cleaning the cleaning object according to the cleaning cycle;

[0007] determining invalid cleaning data of the cleaning line in the cleaning cycle according to the cleaning execution data;

[0008] According to the invalid cleaning data, an invalid adjustment target of the cleaning line that produces invalid cleaning during cleaning execution is determined, and the invalid adjustment target is adjusted according to a set cleaning adjustment strategy to reduce invalid cleaning in the cleaning cycle by adjusting the invalid adjustment target.

[0009] In a second aspect, an embodiment of the present invention provides a cleaning management device for a cleaning-in-place station, the device comprising:

[0010] A data acquisition module is used to collect cleaning execution data of the cleaning line included in the cleaning-in-place station, wherein the cleaning execution data is generated by the cleaning line when cleaning the cleaning object according to the cleaning cycle;

[0011] an invalid cleaning data determining module, configured to determine invalid cleaning data of the cleaning line in the cleaning cycle according to the cleaning execution data;

[0012] The target adjustment module is used to determine, based on the invalid cleaning data, an invalid adjustment target of the cleaning line that produces invalid cleaning during cleaning execution, and adjust the invalid adjustment target according to a set cleaning adjustment strategy, so as to reduce invalid cleaning in the cleaning cycle by adjusting the invalid adjustment target.

[0013] In a third aspect, an embodiment of the present invention provides an electronic device, comprising:

[0014] at least one processor;

[0015] and a memory communicatively coupled to the at least one processor;

[0016] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the cleaning management method of the in-place cleaning station described in any embodiment of the present invention.

[0017] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable a processor to implement the cleaning management method for an on-site cleaning station described in any embodiment of the present invention when executed.

[0018] In a fifth aspect, an embodiment of the present invention further provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the cleaning management method of the in-place cleaning station according to any embodiment of the present invention.

[0019] The technical solution of the embodiment of the present invention collects cleaning execution data of the cleaning line included in the on-site cleaning station, the cleaning execution data being generated by the cleaning line when cleaning the cleaning object according to the cleaning cycle; determines the invalid cleaning data of the cleaning line in the cleaning cycle based on the cleaning execution data; determines the invalid adjustment target for invalid cleaning generated by the cleaning line during the cleaning execution based on the invalid cleaning data, and adjusts the invalid adjustment target according to the set cleaning adjustment strategy, so as to reduce the invalid cleaning in the cleaning cycle by adjusting the invalid adjustment target. This method determines the invalid cleaning data of the cleaning line in the cleaning cycle based on the cleaning execution data, determines the invalid adjustment target based on the invalid cleaning data, and optimizes the invalid adjustment target according to the set cleaning adjustment strategy, thereby effectively reducing the invalid cleaning time in the cleaning cycle, shortening the overall on-site cleaning time, improving the production utilization rate of the cleaning equipment and the production capacity of the production equipment, reducing energy consumption and costs, and at the same time, because the effective cleaning time is not changed, the quality of the produced products is further guaranteed.

[0020] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 A flow chart of a cleaning management method for a cleaning-in-place station provided by an embodiment of the present invention;

[0023] Figure 2 A schematic diagram of the impact ratio results of a cleaning management method for a cleaning-in-place station provided by an embodiment of the present invention;

[0024] Figure 3 A schematic diagram of the cleaning utilization rate before pasteurization in a cleaning management method for a cleaning-in-place station provided by an embodiment of the present invention;

[0025] Figure 4 A schematic structural diagram of a cleaning management device for a cleaning-in-place station provided by an embodiment of the present invention;

[0026] Figure 5 A schematic structural diagram of an electronic device that can be used to implement an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described 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 making creative efforts should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] It should be noted that the actual CIP process primarily consists of two parts: effective cleaning and ineffective cleaning. Effective cleaning time refers to the cleaning time specified by the standard, i.e., the standard cleaning time for specific equipment after it meets the cleaning conditions. Ineffective cleaning time refers to cleaning times other than the standard cleaning time, such as waiting time due to substandard parameters such as temperature and conductivity, or other cleaning waiting time due to abnormalities.

[0030] However, current optimization of in-place cleaning time focuses primarily on shortening the effective cleaning time, such as by replacing high-efficiency cleaning agents to reduce alkaline cleaning time. However, this approach encounters bottlenecks after a certain degree of optimization, making it difficult to further improve cleaning efficiency. Furthermore, during the entire in-place cleaning process, the waiting and pausing time that has the greatest impact on cleaning effectiveness is the time spent waiting and pausing during the cleaning process. However, there is currently no effective means to control and optimize this time, resulting in a long in-place cleaning process, high energy consumption, and low cleaning efficiency, which in turn affects the production efficiency and equipment utilization of the production line.

[0031] Based on this, an embodiment of the present invention provides a cleaning management method for a cleaning station. Figure 1A flowchart of a cleaning management method for an on-site cleaning station provided in an embodiment of the present invention. The embodiment of the present invention is applicable to scenarios in which the cleaning time is managed and controlled during the on-site cleaning process. The method can be executed by a cleaning management device of the on-site cleaning station, which can be implemented in the form of software and / or hardware. Optionally, it can be implemented by an electronic device, which is preferably a mobile terminal, a desktop computer, a laptop computer, a server, etc.

[0032] like Figure 1 As shown, the cleaning management method of the on-site cleaning station provided by the embodiment of the present invention may specifically include:

[0033] S101. Collect cleaning execution data of a cleaning line included in an on-site cleaning station. The cleaning execution data is generated by the cleaning line when cleaning a cleaning object according to a cleaning cycle.

[0034] A cleaning line can be understood as a complete cleaning circuit consisting of a series of pipes, valves, pumps, nozzles, cleaning tanks, and other related equipment, forming the entire equipment and process system used to perform cleaning operations. A cleaning cycle can be understood as the entire process of cleaning the object from start to finish, including water flushing, alkaline cleaning, water flushing, acid cleaning, water flushing, and / or (cold / hot) disinfection. Each cleaning cycle has preset time and parameters. Cleaning execution data can be understood as the data generated by the cleaning line when cleaning the cleaning object (such as tanks, pipes, etc.) according to the cleaning cycle. It can include time data of the cleaning process, such as the start time and end time of cleaning, as well as the start time and end time of each cleaning stage in the cleaning cycle, preparation time for parameters that do not meet the standard (such as temperature, conductivity, flow, etc. to meet the standard time), pause time of each stage, etc.; it can also include the cycle time of the cleaning process, flow data (such as the flow rate of liquid in the pipeline, the flow rate of reflux liquid, etc.), temperature data (such as outlet temperature data and reflux temperature data, etc.), conductivity data, relevant data of the cleaning object (such as the name and number of the cleaning object) and standard data corresponding to the cleaning elements, etc.

[0035] In this embodiment, the cleaning execution data generated by each cleaning line in the in-situ cleaning station during the cleaning process of the cleaning object according to the cleaning cycle is collected in real time, and the collected cleaning execution data is summarized and recorded according to the cleaning stage, classification, etc.

[0036] S102 : Determine invalid cleaning data of the cleaning line in the cleaning cycle according to the cleaning execution data.

[0037] Invalid cleaning data can be understood as data on ineffective cleaning periods during the cleaning cycle due to factors such as equipment downtime, parameter non-compliance, or time spent on minor steps in the cleaning procedure (such as valve adjustments and cleaning fluid switching). Invalid cleaning data can include the percentage of total invalid cleaning time and the percentage of each factor contributing to the total invalid time (such as setup time, temperature, and flow rate).

[0038] In this embodiment, a specific method for determining invalid cleaning time for a cleaning line during a cleaning cycle based on cleaning execution data may be to first compare the actual cleaning data generated in the cleaning execution data with the corresponding preset standard data to determine whether the current cleaning time is invalid or valid. For example, if the difference between the actual cleaning data generated in the cleaning execution data and the corresponding standard data is less than 10% of the corresponding standard data, the current time is recorded as valid cleaning time; otherwise, the current time is recorded as invalid cleaning time. It should be noted that the standard data can be an empirical value, a value obtained through multiple experiments, or a value determined by a calculation formula. For example, in the case of fermentation tank cleaning, the actual alkaline cleaning time is 1800 seconds, of which 300 seconds are required to heat up to the standard temperature data, 100 seconds are required to reach the standard flow data and standard conductivity data, and 200 seconds are required for pause time. Therefore, the aforementioned 300 seconds, 100 seconds, and 200 seconds are all recorded as invalid cleaning time.

[0039] Continuing with the above description, the proportion of total invalid cleaning time can be calculated. The specific method can be to sum up the invalid cleaning times in the cleaning cycle to obtain the total invalid cleaning time, and use the total invalid cleaning time and the actual total consumption time as the quotient to obtain the proportion of total invalid cleaning time. Alternatively, the effective cleaning time in the cleaning cycle can be summed up to obtain the total effective cleaning time, and the actual total consumption time can be subtracted from the total effective cleaning time to obtain the total invalid cleaning time, and then the total invalid cleaning time and the actual total consumption time can be used as the quotient to obtain the proportion of total invalid cleaning time.

[0040] In addition, the time proportion of each influencing item constituting the total invalid time can also be calculated. For example, the influencing item can be pause time, and the specific method of calculating the proportion of pause time influencing items can be to calculate the total pause time in the cleaning execution data, and then divide the total pause time by the total invalid cleaning time to obtain the proportion of pause time influencing items.

[0041] In this embodiment, the total invalid cleaning time ratio and the time ratio of each influencing item constituting the total invalid time are summarized to constitute the invalid cleaning data of the cleaning line in the cleaning cycle.

[0042] S103. Determine, based on the invalid cleaning data, an invalid adjustment target for invalid cleaning generated during cleaning execution of the cleaning line, and adjust the invalid adjustment target according to a set cleaning adjustment strategy, so as to reduce invalid cleaning in the cleaning cycle by adjusting the invalid adjustment target.

[0043] Among them, the invalid adjustment target can be understood as the equipment in the cleaning line that has adjustment requirements, which can be the cleaning equipment or the cleaning object.

[0044] In this embodiment, a specific method for determining invalid adjustment targets for cleaning lines that generate invalid cleaning during cleaning based on invalid cleaning data can be to identify the influencing items in the invalid cleaning data whose time proportion exceeds a preset threshold or is within a certain ranking range. The equipment with the most invalid cleaning time or within a certain ranking range among these influencing items can then be identified as invalid adjustment targets through analysis. The invalid adjustment targets can then be precisely analyzed to further determine the cause of the invalid cleaning time being long for these ineffective adjustment targets. Based on the determined cause, the invalid adjustment targets can then be adjusted according to a corresponding cleaning adjustment strategy to reduce the invalid cleaning time and / or proportion during the cleaning cycle. Exemplary cleaning adjustment strategies can include optimizing automated control logic (e.g., preheating the cleaning fluid, rapidly switching cleaning fluids), adjusting cleaning parameters (e.g., temperature, flow rate), and so on. For example, if analysis reveals that the cause of long wireless cleaning time is low reflux temperature, the cleaning adjustment strategy can include monitoring temperature probes and / or adjusting reflux temperature standard data. If analysis reveals that waiting times for certain cleaning stages within the cleaning cycle are excessively long, the equipment's pause time, preheating time, or cleaning fluid circulation speed can be optimized.

[0045] It should be noted that parameter data related to the entire cleaning process (such as outlet temperature data, reflux temperature data, flow rate data, conductivity data, etc.) can also be extracted from the cleaning execution data, or the aforementioned parameter data related to effective cleaning data can be extracted. By statistically analyzing the real-time collected parameter data, a corresponding change curve can be obtained. Based on the change curve, the cause of the long ineffective cleaning time can be determined, and corresponding adjustment strategies can be implemented to reduce ineffective cleaning during the cleaning cycle. For example, if the flow rate data in the change curve shows peaks in two time periods, it can be further determined whether the increase in flow rate is due to the omission of cleaning objects, etc., and the corresponding adjustment strategy can be determined.

[0046] An embodiment of the present invention provides a cleaning management method for an on-site cleaning station. The method collects cleaning execution data of a cleaning line included in the on-site cleaning station, the cleaning execution data being generated by the cleaning line when cleaning a cleaning object according to a cleaning cycle; determines invalid cleaning data of the cleaning line during the cleaning cycle based on the cleaning execution data; determines an invalid adjustment target for invalid cleaning generated by the cleaning line during cleaning execution based on the invalid cleaning data, and adjusts the invalid adjustment target according to a set cleaning adjustment strategy, so as to reduce invalid cleaning during the cleaning cycle by adjusting the invalid adjustment target. The method determines the invalid cleaning data of the cleaning line during the cleaning cycle based on the cleaning execution data, determines the invalid adjustment target based on the invalid cleaning data, and optimizes the invalid adjustment target according to the set cleaning adjustment strategy, thereby effectively reducing the invalid cleaning time during the cleaning cycle, shortening the overall on-site cleaning time, improving the production utilization rate of the cleaning equipment and the production capacity of the production equipment, reducing energy consumption and costs, and at the same time, because the effective cleaning time is not changed, the quality of the produced products is further guaranteed.

[0047] As a first optional embodiment of this embodiment, based on the above embodiment, the cleaning object can be concretized as dairy equipment. Accordingly, the collection of cleaning execution data of the cleaning lines included in the on-site cleaning station can be concretized into the following steps:

[0048] a1) When the cleaning line cleans the dairy equipment, collecting stage execution data for each cleaning stage in the cleaning cycle, the cleaning stages including: a first water flushing stage, an alkaline cleaning stage, a second water flushing stage, a pickling stage, a third water flushing stage, and a disinfection stage. The stage execution data includes: a cleaning start time, a cleaning end time, cleaning element setting data, and cleaning waiting data.

[0049] The first water rinse stage can be understood as a pre-rinsing stage for the surface of the object being cleaned with clean water to remove larger impurities and residues. The alkaline rinse stage can be understood as a cleaning stage in which an alkaline detergent is used to remove organic matter (such as protein, fat, etc.). The second water rinse stage can be understood as a cleaning stage in which the object being cleaned is rinsed with clean water after the alkaline rinse stage to remove residual alkaline detergent. The acid rinse stage can be understood as a cleaning stage in which an acid detergent is used to remove inorganic matter (such as mineral deposits) and neutralize the surface of the object after the alkaline rinse. The third water rinse stage can be understood as a post-acid rinse in which the object is rinsed with clean water to ensure that the cleaning solution is completely rinsed. The disinfection stage can be understood as a stage in which the object being cleaned is disinfected using a disinfectant, high temperature, or low temperature. Stage execution data can be understood as the data generated during the execution of each stage. Cleaning factor setting data can be understood as pre-set data and real-time data corresponding to the cleaning parameters required for each stage, such as the clean water circulation time, flow rate, and return / outlet temperature during the water flushing stage; and the cleaning liquid circulation time, return / outlet temperature, flow rate, and conductivity during the alkaline and acid cleaning stages. Cleaning waiting data can be understood as the waiting time in each stage due to reasons such as temperature failure, insufficient flow rate, and equipment failure. Cleaning waiting data can include the total waiting time and the waiting time for each reason.

[0050] In this embodiment, when the cleaning line cleans the dairy equipment, the stage execution data of each cleaning stage in the cleaning cycle is collected in real time.

[0051] It should be noted that the cleaning stage can be adjusted according to different industries and application scenarios. For example, a single alkaline washing can be performed for fruit product equipment (that is, the cleaning stage can include a water flushing stage, an alkaline washing stage and a hot (cold) disinfection stage), and a single acid washing can be performed for aquatic product equipment, etc. The embodiments of the present invention do not impose any restrictions.

[0052] b1) Summarizing the execution data of each stage to form cleaning execution data of the cleaning line in the cleaning cycle.

[0053] In this embodiment, the execution data of each stage can be aggregated according to the stage execution order to form the cleaning execution data of the cleaning line during the cleaning cycle, thereby comprehensively recording the entire cleaning process. It is understood that a red-green management method can be used to manage cleaning elements (i.e., actual generated data that meets the set (standard) data is marked green, and data that does not meet the set (standard) data is marked red).

[0054] The above technical solution of this embodiment collects and summarizes the stage execution data of each cleaning stage in the cleaning cycle when cleaning the dairy equipment on the cleaning line, so as to facilitate intuitive and comprehensive analysis of the cleaning efficiency of the entire cleaning process and find invalid cleaning time, thereby providing strong support for targeted optimization of invalid cleaning processes, shortening the overall cleaning time, and ensuring cleaning quality.

[0055] As a second optional embodiment of this embodiment, the step of determining the invalid cleaning data of the cleaning line in the cleaning cycle according to the cleaning execution data may be optimized to include the following steps:

[0056] a2) determining the total ineffective cleaning time of the cleaning line according to the cleaning start time, cleaning end time, and cleaning element setting data in the cleaning execution data.

[0057] In this embodiment, based on the cleaning start time, cleaning end time, and cleaning element setting data in the cleaning execution data, a specific method for determining the total invalid cleaning time of the cleaning line can be to calculate the total consumed time from the cleaning start time to the cleaning end time, and subtract the total consumed time from the sum of the cycle time of each stage (effective cleaning time) in the cleaning element setting data to determine the total invalid cleaning time of the cleaning line.

[0058] b2) determining the invalid impact time corresponding to each set invalid impact dimension from the cleaning execution data.

[0059] The ineffective impact dimension can be understood as the specific factors that lead to ineffective cleaning, including the impact of preparation time, conductivity, flow rate, temperature, pause time, and contamination time (the time spent on cleaning operations not performed according to standard parameters). The ineffective impact time can be understood as the ineffective cleaning time corresponding to each ineffective impact dimension.

[0060] In this embodiment, the invalid impact time corresponding to each invalid impact dimension is determined by comparing the time during which the actual data corresponding to the invalid impact dimension set in the cleaning execution data does not match the standard data. For example, if the invalid impact dimension is temperature impact and the corresponding temperature non-standard time is 3 minutes, the corresponding invalid impact time under the temperature impact dimension is 3 minutes.

[0061] c2) determining an impact ratio result of each invalid impact dimension based on the total invalid cleaning time and each invalid impact time, and determining invalid cleaning data of the cleaning line in the cleaning cycle based on each impact ratio result.

[0062] Among them, the impact ratio result can be understood as the ratio of the wireless impact time corresponding to each invalid impact dimension in the total invalid cleaning time. The impact ratio result can be displayed in the form of pie charts, bar charts, tables, etc.

[0063] Figure 2 This is a schematic diagram showing the effect of the impact ratio results of the cleaning management method of an on-site cleaning station provided by an embodiment of the present invention. Figure 2 As shown in the results, among the impact proportion results, the impact proportion of preparation time is 67.65%, the impact proportion of conductivity is 4.1%, the impact proportion of flow rate is 3.15%, the impact proportion of temperature is 18.87%, the impact proportion of pause time is 5.67%, and the impact proportion of pollution time is 0.56%.

[0064] In this embodiment, by taking the quotient of each invalid impact time and the total invalid cleaning time, the impact proportion results corresponding to each invalid impact dimension are determined, and by taking the quotient of the total invalid cleaning time and the total cleaning time, the total invalid time proportion is determined. The impact proportion results and the total invalid time proportion are summarized to form the invalid cleaning data of the cleaning line in the cleaning cycle.

[0065] The above technical solution of this embodiment identifies and quantifies the total invalid cleaning time of the cleaning line by analyzing the cleaning execution data, and further determines the invalid impact and impact ratio corresponding to each set invalid impact dimension, thereby providing data support for subsequent targeted optimization of the invalid cleaning process and improvement of cleaning efficiency.

[0066] As a third optional embodiment of this embodiment, determining, based on the invalid cleaning data, an invalid adjustment target for invalid cleaning generated by the cleaning line during cleaning execution, and adjusting the invalid adjustment target according to a set cleaning adjustment strategy can be specifically implemented as follows:

[0067] a3) Obtaining the impact ratio results corresponding to each invalid impact dimension from the invalid cleansing data.

[0068] In this embodiment, the impact ratio results corresponding to each invalid impact dimension are obtained from the invalid cleaning data. Figure 2 Description: The impact ratio results corresponding to each invalid impact dimension obtained from the invalid cleaning data can be that the impact ratio result of the preparation time impact is 67.65%, the impact ratio result of the conductivity impact is 4.1%, the impact ratio result of the flow impact is 3.15%, the impact ratio result of the temperature impact is 18.87%, the impact ratio result of the pause time impact is 5.67%, and the impact ratio result of the pollution time impact is 0.56%.

[0069] b3) determining the impact proportion results that are higher than the set proportion value as the target impact proportion results, and obtaining the target invalid impact dimension corresponding to each of the target impact proportion results.

[0070] The target impact ratio can be interpreted as having a significant impact on the total ineffective cleaning time, indicating the need for further analysis. The target ineffective impact dimension can be understood as the ineffective impact dimension that produces the most ineffective impact time.

[0071] In this embodiment, a percentage value (e.g., 15%) can be pre-set, and all impact percentage results exceeding the set percentage value are determined as target impact percentage results. The target invalid impact dimension corresponding to the target impact percentage result is then determined. For example, continuing with the above example, if the impact percentage result of the setup time influence and the impact percentage result of the temperature influence are both above the set percentage value of 15%, the impact percentage results of the setup time influence and the impact percentage results of the temperature influence are considered target impact percentage results, and the setup time influence and the temperature influence are then considered target invalid impact dimensions.

[0072] c3) Determining the cleaning equipment associated with each target invalidation impact dimension in the cleaning line, and determining each cleaning equipment as an invalidation adjustment target.

[0073] Participating cleaning equipment can be understood as the specific cleaning equipment and cleaning objects involved in the target ineffectiveness impact dimension of the cleaning line. For example, if the target ineffectiveness impact dimension is temperature impact, the participating cleaning equipment can include cleaning equipment (such as alkali tanks, thermal disinfection tanks, etc.) and cleaning objects (such as filling machines, buffer tanks, etc.) where temperature impact has a long ineffectiveness impact time. Ineffectiveness adjustment targets can be understood as participating cleaning equipment that produces a long ineffectiveness cleaning time and requires adjustment.

[0074] In this embodiment, the cleaning participating equipment associated with each target invalid impact dimension in the cleaning line is determined. Each cleaning participating equipment can be determined as an invalid adjustment target respectively, or each cleaning participating equipment that generates a longer invalid impact time under each target invalid impact dimension can be determined as an invalid adjustment target respectively.

[0075] d3) Determining a cleaning adjustment strategy that matches each of the invalid adjustment targets, and adjusting the cleaning logic involved in the invalid adjustment target according to the cleaning adjustment strategy.

[0076] In this embodiment, each invalid adjustment target can be further analyzed to determine the data with problems. For example, the corresponding stage execution data can be further determined based on the invalid adjustment target. If the invalid adjustment target is the alkali tank and the A buffer tank, the stage execution data of the A buffer tank in the alkali washing stage can be obtained, and then the data with problems can be determined. For example, if the reflux temperature is too low, the cleaning adjustment strategy matching each invalid adjustment target can be determined, such as calibrating the temperature sensor to ensure temperature measurement preparation, or checking and repairing the pipeline insulation material. The standard data corresponding to the reflux temperature can also be optimized, and then the cleaning logic involved can be adjusted according to the determined cleaning adjustment strategy.

[0077] The above technical solution of this embodiment determines the target invalid impact dimension corresponding to the target impact ratio result from the invalid cleaning data, thereby determining the invalid adjustment target, and adjusts the cleaning logic by targetedly formulating a cleaning adjustment strategy that matches the invalid adjustment target, thereby reducing the invalid cleaning time, improving the cleaning efficiency, and reducing energy consumption and costs.

[0078] As a fourth optional embodiment of this embodiment, the in-situ cleaning station includes multiple cleaning lines, each of which corresponds to cleaning execution data, and accordingly further includes:

[0079] a4) determining a cleaning utilization rate of each cleaning line according to the cleaning execution data corresponding to each cleaning line.

[0080] The cleaning utilization rate can be understood as the proportion of the actual cleaning time of the cleaning line to the total time within a certain period of time.

[0081] In this embodiment, the specific method for determining the cleaning utilization rate of each cleaning line based on the cleaning execution data corresponding to each cleaning line can be to calculate the actual cleaning time of each cleaning line based on the cleaning start time and cleaning end time in the cleaning execution data within a certain period of time, and then determine the cleaning utilization rate of each cleaning line by calculating the ratio of the actual cleaning time of each cleaning line to the total time (the certain period of time). For example, if the cleaning utilization rate of a cleaning line is determined within a day (the total time is 24 hours), and the actual cleaning time of the cleaning line is 6 hours, then the cleaning utilization rate of the cleaning line is 25%.

[0082] b4) Determine the cleaning lines whose utilization is below the set utilization threshold as target cleaning lines, and adjust the cleaning objects involved in each target cleaning line according to a given cleaning scheduling strategy.

[0083] The target cleaning line can be understood as a cleaning line with low utilization and a need for adjustment. The cleaning scheduling strategy can be understood as a scheduling strategy for redistributing loads or tasks to each cleaning line.

[0084] In this embodiment, a utilization threshold is pre-set. For example, under the premise that the production task volume is higher than the average, the utilization threshold can be set at 10% for the pre-pasteurization cleaning line and 20% for the post-pasteurization cleaning line. The cleaning line with a cleaning utilization rate lower than the set utilization threshold is determined as the target cleaning line, and the cleaning objects involved in the target cleaning line are adjusted according to the given cleaning scheduling strategy, such as reallocating cleaning tasks or adding cleaning objects to the target cleaning line to balance the load of each cleaning line.

[0085] In order to better understand the cleaning management method of a cleaning station provided in this embodiment, Figure 3 A schematic diagram of the cleaning utilization rate before pasteurization of a cleaning management method for a cleaning-in-place station provided by an embodiment of the present invention is shown in FIG. Figure 3 As shown in the figure, the on-site cleaning station includes two cleaning lines, A and B. Before pasteurization, the cleaning utilization rate of cleaning line A in the current month, the previous month, and the same period is lower than that of cleaning line B in the current month, the previous month, and the same period. Therefore, it is necessary to adjust the cleaning objects involved in cleaning line A according to the given cleaning scheduling strategy, that is, the cleaning objects managed by cleaning line B can be adaptively allocated to cleaning line A for management.

[0086] The above technical solution of this embodiment determines the target cleaning line by evaluating the cleaning utilization rate of each cleaning line, and adjusts the cleaning objects involved in each target cleaning line according to the cleaning scheduling strategy, thereby improving the utilization rate of the cleaning equipment, optimizing the cleaning efficiency of the entire on-site cleaning station, reducing the waiting time of the cleaning objects, shortening the overall cleaning time, and improving the production utilization rate and production capacity of the cleaning objects.

[0087] As a fifth optional embodiment of this embodiment, in the on-site cleaning station, corresponding cleaning tanks are respectively provided for each cleaning stage in the relative cleaning cycle, and each cleaning tank provides a corresponding cleaning function for at least one cleaning line.

[0088] For example, the cleaning tank body corresponding to the alkali cleaning stage may be an alkali tank, the cleaning tank body corresponding to the acid cleaning stage may be an acid tank, and the cleaning tank body corresponding to the thermal disinfection stage may be a thermal disinfection tank.

[0089] Correspondingly, it also includes:

[0090] a5) determining a synchronous cleaning upper limit value of the corresponding cleaning tank body according to the tank body attribute information of each cleaning tank body.

[0091] Tank attribute information can be understood as various parameters related to the cleaning tank, used to describe the tank's usage characteristics, physical properties, or chemical properties. This information can include tank capacity, cleaning fluid type, and supply capacity (i.e., the flow rate of cleaning fluid that the tank can provide per unit time). The upper limit for simultaneous cleaning can be understood as the maximum number of cleaning lines that each cleaning tank can support simultaneously.

[0092] It should be noted that, for example, if the capacity of the cleaning tank is 10 tons, if a large number of items are cleaned at the same time, according to the calculation of the cleaning tank capacity, if it is less than 40% of the capacity, it will trigger a low liquid level and cause a water replenishment operation. During the water replenishment process, the on-site cleaning station will suspend the cleaning process until the water is replenished to more than 40% of the capacity before continuing the cleaning process. Therefore, this process will cause cleaning waiting; at the same time, after all the water from the cleaning cycle returns to the on-site cleaning station, it will cause the recovery water tank to overflow, resulting in waste of water and energy.

[0093] In this embodiment, the synchronous cleaning upper limit of the corresponding cleaning tank is determined according to the tank attribute information of the cleaning tank, so as to avoid the situation where the cleaning tank needs to suspend water replenishment due to excessive load during the cleaning process, thereby extending the invalid cleaning time.

[0094] As one implementation, this optional embodiment may further specify the determination of the upper limit of the synchronous cleaning of the corresponding cleaning tanks based on the tank attribute information of each cleaning tank as follows:

[0095] a51) For each cleaning tank, determine the maximum capacity of the cleaning tank according to the tank attribute information of the cleaning tank.

[0096] In this embodiment, the maximum capacity of the cleaning tank is determined according to the tank attribute information of each cleaning tank.

[0097] a52) determining a maximum available capacity based on the product of the maximum capacity and a set control ratio value, and determining an upper limit value for synchronous cleaning of the cleaning tank body based on the maximum available capacity and the amount of cleaning liquid required for the cleaning line corresponding to the cleaning tank body.

[0098] In this embodiment, the maximum available capacity is multiplied by the set control ratio to obtain the maximum available capacity. The upper limit for simultaneous cleaning of the tank is then determined based on the maximum available capacity and the amount of cleaning fluid required by the corresponding cleaning line. For example, if the maximum capacity of the alkali tank is 10 tons, and if the capacity falls below 40%, a low liquid level triggers a water replenishment operation, the control ratio is set to 60%, meaning the maximum available capacity is 6 tons. If the amount of cleaning fluid required by each cleaning line corresponding to the alkali tank is 2 tons, the upper limit for simultaneous cleaning is 3.

[0099] The above technical solution of this embodiment determines the upper limit of synchronous cleaning of the cleaning tank according to the maximum capacity of the cleaning tank body and the amount of cleaning liquid required by the cleaning line, thereby avoiding the situation where the on-site cleaning station suspends the cleaning operation due to the need to replenish water for the cleaning tank body, thereby extending the invalid cleaning time, thereby saving cleaning costs, shortening the overall cleaning time, and improving production utilization.

[0100] b5) When detecting a target cleaning tank body whose synchronous cleaning quantity exceeds the corresponding synchronous cleaning upper limit, generating cleaning abnormality alarm information corresponding to the target cleaning tank body, and adjusting the synchronous cleaning quantity of the target cleaning tank body according to the cleaning abnormality alarm information.

[0101] The target cleaning tank body can be understood as a cleaning tank body whose number of simultaneous cleanings is higher than the corresponding upper limit of simultaneous cleanings and which may require water replenishment.

[0102] In this embodiment, the number of synchronous cleanings of each cleaning tank is monitored and counted in real time. When a target cleaning tank is detected whose synchronous cleaning number is higher than the corresponding synchronous cleaning upper limit value, a cleaning abnormality alarm information of the target cleaning tank is generated, such as marking the synchronous cleaning number corresponding to the target cleaning tank in red, and then adjusting the synchronous cleaning number of the target cleaning tank according to the cleaning abnormality alarm information, such as suspending the cleaning operation of some cleaning lines, and continuing the cleaning after the supply capacity of the target cleaning tank is restored, or transferring some cleaning tasks to other cleaning lines or other cleaning tanks to reduce the load on the target cleaning tank.

[0103] It should be noted that while detecting the number of simultaneous cleanings in the cleaning tank, the high and low liquid levels in the cleaning tank can also be controlled. That is, the liquid level in the cleaning tank must not be higher than the high liquid level probe and must not be lower than the low liquid level probe. If the liquid level in the cleaning tank is detected to be higher than the high liquid level probe, it is necessary to adjust the water replenishment volume, time, and / or the number of simultaneous cleanings; if the liquid level in the cleaning tank is detected to be lower than the low liquid level probe, it is necessary to reduce the number of simultaneous cleanings. In addition, the number of synchronous cleanings, the number of high liquid level occurrences, and the number of low liquid level occurrences of each cleaning tank body can also be counted, and the statistical values ​​that exceed the synchronous cleaning upper limit and the preset number threshold will be marked in red; the corresponding quantity change curve, high liquid level change curve, and low liquid level change curve can also be obtained according to the number of synchronous cleanings at each moment and the state of the liquid level in the tank. The high liquid level change curve can be formed in a manner that the value of the change curve is 0 when the liquid level state in the tank is normal, and the value of the change curve is 1 when the high liquid level state occurs. The low liquid level change curve can be formed in a manner that the value of the change curve is 1 when the liquid level state in the tank is normal, and the value of the change curve is 0 when the low liquid level state occurs.

[0104] The above technical solution of this embodiment, by determining the upper limit value of synchronous cleaning of the cleaning tank body and monitoring the number of synchronous cleaning of the cleaning tank body, generates corresponding cleaning abnormality alarm information when the target cleaning tank body is detected, and timely adjusts the number of synchronous cleaning of the target cleaning tank body, thereby reducing the increase in invalid cleaning time caused by the need to suspend water replenishment for cleaning the tank body, further shortening the overall cleaning time, saving cleaning costs, and improving production capacity.

[0105] As a sixth optional embodiment of this embodiment, the following further comprises:

[0106] a6) Summarizing the alarm record data associated with each cleaning object, determining the faulty cleaning object based on the alarm record data, and reporting the device information of the faulty cleaning object to the operation and maintenance platform. The alarm record data includes: the number of alarms and the alarm duration.

[0107] In this embodiment, recorded data on alarms issued by various cleaning objects over a certain period that affect the in-place cleaning process is summarized, including the number of alarms and the duration of the alarms (i.e., the cumulative duration from the issuance of each alarm to its resolution). Faulty cleaning objects are then identified based on this recorded data, and their device information is reported to the operations and maintenance platform. It will be appreciated that thresholds for the number of alarms and the duration of alarms can be set, respectively, to identify cleaning objects that exceed these thresholds as faulty. Furthermore, cleaning objects with the longest alarm durations and the highest number of alarms can be prioritized for inspection and maintenance, thereby reducing cleaning pauses due to equipment failures at these cleaning objects.

[0108] The above technical solution of this embodiment determines the faulty cleaning equipment by summarizing the alarm record data associated with the cleaning object, and realizes efficient maintenance of the faulty cleaning object by reporting the equipment information of the faulty cleaning object to the operation and maintenance platform, thereby reducing the extension of ineffective cleaning time caused by equipment failure of the cleaning object and improving production capacity and cleaning efficiency.

[0109] As one implementation of any embodiment of the present invention, the method further includes:

[0110] a7) determining benchmark time information for the execution of cleaning steps involved in each cleaning stage included in the cleaning cycle, wherein the benchmark time information is determined based on equipment installation information of cleaning equipment used in the corresponding cleaning step.

[0111] The benchmark time-consuming information may be understood as the theoretical preparation time involved in executing each cleaning stage in the cleaning cycle, and is used to provide guidance for setting the initial preparation time of each cleaning stage.

[0112] In this embodiment, when a new factory is built or a new on-site cleaning station is added, the corresponding cleaning links can be determined according to the cleaning stages included in the cleaning cycle, and the benchmark time consumption information for executing the cleaning links can be determined according to the equipment installation information of the cleaning equipment corresponding to each cleaning link.

[0113] For example, when the cleaning cycle includes a water flushing stage, an alkaline cleaning stage, an acid cleaning stage, and / or a hot disinfection stage, the cleaning steps involved in each stage are respectively a clean water flushing stage, an alkaline solution flushing stage, an acid solution flushing stage, and a hot water disinfection stage, and the corresponding cleaning equipment are respectively a clean water tank, an alkaline tank, an acid tank, and a hot disinfection water tank. The benchmark time for the water flushing stage can be determined based on the equipment installation information of the clean water tank, and the specific determination method can be:

[0114] ;

[0115] in, is the benchmark time of the water flushing stage, is the pipe length of the clean water tank, is the flow rate of the clean water tank, is the diameter of the clean water tank.

[0116] The benchmark time for the alkali cleaning and pickling stages can be determined based on the equipment installation information of the alkali tank and acid tank respectively. The specific determination method can be:

[0117] ;

[0118] in, is the benchmark time for the alkaline washing stage, is the pipe length of the alkali tank, is the flow rate of the alkali tank, is the diameter of the alkali tank, The time when the conductivity of the alkali tank reaches the standard value, It is the time when the reflux temperature corresponding to the alkali tank reaches the standard value.

[0119] ;

[0120] in, is the benchmark time for the pickling stage, is the length of the acid tank, is the flow rate of the acid tank, is the diameter of the acid tank, The time it takes for the conductivity of the acid tank to reach the standard value. It is the time when the reflux temperature corresponding to the acid tank reaches the standard value.

[0121] The benchmark time for the thermal disinfection stage can be determined based on the equipment installation information of the thermal disinfection water tank. The specific determination method can be:

[0122] ;

[0123] in, The benchmark time for thermal disinfection is is the length of the hot disinfection water tank, is the flow rate of the hot disinfection water tank, is the diameter of the hot disinfection water tank, It is the time for the reflux temperature of the hot disinfection water tank to reach the standard value.

[0124] It should be noted that the time required for conductivity and reflow temperature to reach the reference values ​​is obtained through field measurements (e.g., using temperature probes, conductivity sensors, etc.). Once the baseline timing information is determined, its rationality can be further verified based on actual operating data and adjusted as needed.

[0125] The above technical solution of this embodiment improves the accuracy of the initially set benchmark time-consuming information by determining the benchmark time-consuming information based on the equipment installation information of the cleaning equipment used in the corresponding cleaning links in each cleaning stage, provides strong support for the subsequent reasonable arrangement of the cleaning plan, and avoids the increase of invalid cleaning time and reduced cleaning efficiency due to the preparation time set according to empirical values ​​or random values ​​being too long, and the occurrence of cleaning abnormalities due to the preparation time being too short.

[0126] As another implementation of any embodiment of the present invention, the method further includes:

[0127] a8) Controlling the temperature of the cleaning equipment included in the in-situ cleaning station according to the set temperature control method.

[0128] In this embodiment, the specific method of controlling the temperature of the cleaning equipment included in the on-site cleaning station according to the set temperature control method can be that when the production task is relatively light, the temperature control method is set to online temperature increase, that is, the liquid flowing in the cleaning line is instantly heated by the online heating equipment to reach the required temperature; when the production task is relatively heavy, the temperature control method can be set to tank body temperature increase (that is, the process of heating the liquid in the cleaning tank body to the set temperature by the heating equipment) combined with online temperature increase, that is, the corresponding temperature increase gradient can be set for the required different temperatures.

[0129] For example, when the production task is heavy, if the temperature required for the thermal disinfection stage is 95°C, the tank body can be set to 90°C (which reduces energy consumption by keeping the tank body at 95°C), and then the online temperature is compensated by 5°C (small temperature gradient and high efficiency) to achieve the standard cleaning temperature; if the temperature required for the alkaline washing stage is 75°C, the tank body can be set to 70°C, and then the online temperature is compensated by 5°C; if the acid washing temperature is 68°C, the tank body can be set to 63°C, and then the online temperature is compensated by 5°C.

[0130] The above technical solution of this embodiment flexibly controls the temperature of the cleaning equipment according to different set temperature control methods under different circumstances, thereby reducing the temperature preparation time on the basis of energy saving, that is, reducing the invalid cleaning time, and further saving cleaning costs and energy consumption.

[0131] Figure 4 This is a structural diagram of a cleaning management device for an on-site cleaning station provided by an embodiment of the present invention. Figure 4 As shown, the device includes: a data acquisition module 41 , an invalid cleaning data determination module 42 and a target adjustment module 43 .

[0132] The data acquisition module 41 is used to collect cleaning execution data of the cleaning lines included in the in-situ cleaning station, wherein the cleaning execution data is generated by the cleaning lines when cleaning the cleaning objects according to the cleaning cycle;

[0133] an invalid cleaning data determining module 42, configured to determine invalid cleaning data of the cleaning line in the cleaning cycle according to the cleaning execution data;

[0134] The target adjustment module 43 is used to determine the invalid adjustment target of the cleaning line that produces invalid cleaning during cleaning execution based on the invalid cleaning data, and adjust the invalid adjustment target according to the set cleaning adjustment strategy to reduce the invalid cleaning in the cleaning cycle by adjusting the invalid adjustment target.

[0135] An embodiment of the present invention provides a cleaning management device for an on-site cleaning station. The device collects cleaning execution data of a cleaning line included in the on-site cleaning station, the cleaning execution data being generated by the cleaning line when cleaning a cleaning object according to a cleaning cycle; determines invalid cleaning data of the cleaning line during the cleaning cycle based on the cleaning execution data; determines an invalid adjustment target for invalid cleaning generated by the cleaning line during cleaning execution based on the invalid cleaning data, and adjusts the invalid adjustment target according to a set cleaning adjustment strategy, thereby reducing invalid cleaning during the cleaning cycle by adjusting the invalid adjustment target. The method determines the invalid cleaning data of the cleaning line during the cleaning cycle based on the cleaning execution data, determines the invalid adjustment target based on the invalid cleaning data, and optimizes the invalid adjustment target according to the set cleaning adjustment strategy, thereby effectively reducing the invalid cleaning time during the cleaning cycle, shortening the overall on-site cleaning time, improving the production utilization rate of the cleaning equipment and the production capacity of the production equipment, reducing energy consumption and costs, and at the same time, further ensuring the quality of the produced products because the effective cleaning time is not changed.

[0136] Furthermore, the cleaning object is dairy equipment. Accordingly, the data acquisition module 41 can be specifically used for:

[0137] When the washing line cleans the dairy equipment, stage execution data of each cleaning stage in the cleaning cycle is collected, the cleaning stages including: a first water flushing stage, an alkaline washing stage, a second water flushing stage, an acid washing stage, a third water flushing stage, and a disinfection stage, and the stage execution data including: a cleaning start time, a cleaning end time, cleaning element setting data, and a cleaning waiting data;

[0138] The execution data of each stage is summarized to form the cleaning execution data of the cleaning line in the cleaning cycle.

[0139] Furthermore, the invalid cleaning data determination module 42 can be specifically used to:

[0140] Determining the total ineffective cleaning time of the cleaning line according to the cleaning start time, cleaning end time, and cleaning element setting data in the cleaning execution data;

[0141] Determining the invalid impact time corresponding to each invalid impact dimension set from the cleaning execution data;

[0142] An impact ratio result of each invalid impact dimension is determined based on the total invalid cleaning time and each invalid impact time, and invalid cleaning data of the cleaning line in the cleaning cycle is determined based on each impact ratio result.

[0143] Furthermore, the target adjustment module 43 may be specifically configured to:

[0144] Obtaining the impact ratio results corresponding to each invalid impact dimension from the invalid cleaning data;

[0145] Determine the impact proportion results that are higher than the set proportion value as the target impact proportion results, and obtain the target invalid impact dimension corresponding to each target impact proportion result;

[0146] Determine the cleaning equipment associated with each target invalidation impact dimension in the cleaning line, and determine each cleaning equipment as an invalidation adjustment target;

[0147] A cleaning adjustment strategy matching each of the invalid adjustment targets is determined, and the cleaning logic involved in the invalid adjustment target is adjusted according to the cleaning adjustment strategy.

[0148] Furthermore, the in-situ cleaning station includes multiple cleaning lines, each of which corresponds to cleaning execution data. Accordingly, the device also includes a utilization adjustment module, which can be specifically used to:

[0149] determining a cleaning utilization rate of each cleaning line according to the cleaning execution data corresponding to each cleaning line;

[0150] The cleaning lines whose utilization is lower than the set utilization threshold are determined as target cleaning lines, and the cleaning objects involved in each of the target cleaning lines are adjusted according to a given cleaning scheduling strategy.

[0151] Furthermore, in the in-situ cleaning station, there are corresponding cleaning tanks corresponding to each cleaning stage in the relative cleaning cycle, and each of the cleaning tanks provides a corresponding cleaning function for at least one cleaning line. Accordingly, the device also includes a synchronous cleaning quantity adjustment module, which may specifically include:

[0152] a synchronous cleaning upper limit value determining unit, configured to determine a synchronous cleaning upper limit value of a corresponding cleaning tank body according to the tank body attribute information of each cleaning tank body;

[0153] The quantity detection and adjustment unit is used to generate cleaning abnormality alarm information corresponding to the target cleaning tank body when it detects that the synchronous cleaning quantity of the target cleaning tank body is higher than the corresponding synchronous cleaning upper limit value, and adjust the synchronous cleaning quantity of the target cleaning tank body according to the cleaning abnormality alarm information.

[0154] Furthermore, the synchronous cleaning upper limit value determination unit can be specifically used to:

[0155] For each cleaning tank, determining the maximum capacity of the cleaning tank according to the tank attribute information of the cleaning tank;

[0156] The maximum available capacity is determined based on the product of the maximum capacity and the set control ratio value, and the upper limit of synchronous cleaning of the cleaning tank body is determined based on the maximum available capacity and the amount of cleaning liquid required for the cleaning line corresponding to the cleaning tank body.

[0157] Furthermore, the cleaning management device of the cleaning-in-place station also includes an alarm module, which can be used to:

[0158] The alarm record data associated with each cleaning target device is summarized, and the faulty cleaning target device is determined based on the alarm record data, and the device information of the faulty cleaning target device is reported to the operation and maintenance platform. The alarm record data includes: the number of alarms and the alarm duration.

[0159] Furthermore, the cleaning management device of the on-site cleaning station also includes a benchmark time-consuming information determination module, which can be specifically used to:

[0160] Determine baseline time information for the execution of cleaning steps involved in each cleaning stage included in the cleaning cycle;

[0161] The benchmark time-consuming information is determined according to the equipment installation information of the cleaning equipment used in the corresponding cleaning step.

[0162] Furthermore, the cleaning management device of the in-situ cleaning station also includes a temperature control module, which can be used to:

[0163] The temperature of the cleaning equipment included in the in-situ cleaning station is controlled according to the set temperature control method.

[0164] The cleaning management device for a cleaning-in-place station provided by an embodiment of the present invention can execute the cleaning management method for a cleaning-in-place station provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0165] Figure 5 A schematic diagram of an electronic device 50 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0166] like Figure 5As shown, electronic device 50 includes at least one processor 51 and memory, such as read-only memory (ROM) 52 and random access memory (RAM) 53, communicatively connected to the at least one processor 51. The memory stores computer programs executable by the at least one processor. Processor 51 can perform various appropriate actions and processes based on the computer programs stored in ROM 52 or loaded from storage unit 58 into RAM 53. RAM 53 can also store various programs and data required for the operation of electronic device 50. Processor 51, ROM 52, and RAM 53 are interconnected via bus 54. An input / output (I / O) interface 55 is also connected to bus 54.

[0167] Multiple components in the electronic device 50 are connected to the I / O interface 55, including an input unit 56, such as a keyboard, a mouse, etc.; an output unit 57, such as various types of displays, speakers, etc.; a storage unit 58, such as a magnetic disk, an optical disk, etc.; and a communication unit 59, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 59 allows the electronic device 50 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0168] Processor 51 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of processor 51 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any other suitable processor, controller, microcontroller, etc. Processor 51 executes the various methods and processes described above, such as the cleaning management method for a CIP station.

[0169] In some embodiments, the cleaning management method for a clean-in-place station can be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 58. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 50 via ROM 52 and / or communication unit 59. When the computer program is loaded into RAM 53 and executed by processor 51, one or more steps of the cleaning management method for a clean-in-place station described above can be performed. Alternatively, in other embodiments, processor 51 can be configured to execute the cleaning management method for a clean-in-place station by any other suitable means (e.g., via firmware).

[0170] Various embodiments of the systems and techniques described above can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0171] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0172] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, device, or apparatus. A computer-readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or apparatus, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media may include an electrical connection based on one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0173] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device that has: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0174] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0175] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0176] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

[0177] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A cleaning management method for a cleaning-in-place station, characterized in that: include: Collecting cleaning execution data of a cleaning line included in the cleaning-in-place station, wherein the cleaning execution data is generated by the cleaning line during cleaning of the cleaning object according to the cleaning cycle; determining invalid cleaning data of the cleaning line in the cleaning cycle according to the cleaning execution data; determining, based on the invalid cleaning data, an invalid adjustment target for invalid cleaning generated during cleaning execution of the cleaning line, and adjusting the invalid adjustment target according to a set cleaning adjustment strategy, so as to reduce invalid cleaning in the cleaning cycle by adjusting the invalid adjustment target; Wherein, determining invalid cleaning data of the cleaning line in the cleaning cycle according to the cleaning execution data includes: Calculate the total elapsed time from the cleaning start time to the cleaning end time, and subtract the total elapsed time from the sum of the effective cleaning times of each stage in the cleaning element setting data to determine the total ineffective cleaning time of the cleaning line; Determining, from the cleaning execution data, the invalid impact time corresponding to each invalid impact dimension set; the invalid impact dimension includes accuracy time impact, conductivity impact, flow impact, temperature impact, pause time impact, and / or contamination time impact; the invalid impact time is the invalid cleaning time corresponding to each invalid impact dimension; Based on the total invalid cleaning time and each invalid impact time, the impact ratio result of each invalid impact dimension is determined, and the total invalid time ratio is determined by dividing the total invalid cleaning time by the total cleaning time. The impact ratio results and the total invalid time ratio are summarized to form the invalid cleaning data of the cleaning line in the cleaning cycle.

2. The method according to claim 1, characterized in that The cleaning object is dairy equipment; The collection of cleaning execution data of the cleaning lines included in the on-site cleaning station includes: When the washing line cleans the dairy equipment, stage execution data of each cleaning stage in the cleaning cycle is collected, the cleaning stages including: a first water flushing stage, an alkaline washing stage, a second water flushing stage, an acid washing stage, a third water flushing stage, and a disinfection stage, and the stage execution data including: a cleaning start time, a cleaning end time, cleaning element setting data, and a cleaning waiting data; The execution data of each stage is summarized to form the cleaning execution data of the cleaning line in the cleaning cycle.

3. The method according to claim 1, characterized in that The step of determining an invalid adjustment target for invalid cleaning generated during cleaning execution of the cleaning line according to the invalid cleaning data, and adjusting the invalid adjustment target according to a set cleaning adjustment strategy, includes: Obtaining the impact ratio results corresponding to each invalid impact dimension from the invalid cleaning data; Determine the impact proportion results that are higher than the set proportion value as the target impact proportion results, and obtain the target invalid impact dimension corresponding to each target impact proportion result; Determine the cleaning equipment associated with each target invalidation impact dimension in the cleaning line, and determine each cleaning equipment as an invalidation adjustment target; A cleaning adjustment strategy matching each of the invalid adjustment targets is determined, and the cleaning logic involved in the invalid adjustment target is adjusted according to the cleaning adjustment strategy.

4. The method according to claim 1, wherein The on-site cleaning station includes a plurality of cleaning lines, each of which corresponds to cleaning execution data; The method further comprises: determining a cleaning utilization rate of each cleaning line according to the cleaning execution data corresponding to each cleaning line; The cleaning lines whose utilization is lower than the set utilization threshold are determined as target cleaning lines, and the cleaning objects involved in each of the target cleaning lines are adjusted according to a given cleaning scheduling strategy.

5. The method according to claim 1, wherein In the in-situ cleaning station, there are corresponding cleaning tanks corresponding to each cleaning stage in the cleaning cycle, and each cleaning tank provides a corresponding cleaning function for at least one cleaning line; The method further comprises: Determining a synchronous cleaning upper limit value of the corresponding cleaning tank body according to the tank body attribute information of each cleaning tank body; When it is detected that there is a target cleaning tank whose synchronous cleaning quantity exceeds the corresponding synchronous cleaning upper limit value, cleaning abnormality alarm information corresponding to the target cleaning tank is generated, and the synchronous cleaning quantity of the target cleaning tank is adjusted according to the cleaning abnormality alarm information.

6. The method according to claim 5, characterized in that The step of determining the upper limit of synchronous cleaning of the corresponding cleaning tank body according to the tank body attribute information of each cleaning tank body includes: For each cleaning tank, determining the maximum capacity of the cleaning tank according to the tank attribute information of the cleaning tank; The maximum available capacity is determined based on the product of the maximum capacity and the set control ratio value, and the upper limit of synchronous cleaning of the cleaning tank body is determined based on the maximum available capacity and the amount of cleaning liquid required for the cleaning line corresponding to the cleaning tank body.

7. The method according to claim 1, characterized in that Also includes: Summarize the alarm record data associated with each cleaning object, determine the faulty cleaning object based on the alarm record data, and report the device information of the faulty cleaning object to the operation and maintenance platform, wherein the alarm record data includes: the number of alarms and the alarm duration.

8. The method according to any one of claims 1 to 7, characterized in that Also includes: Determine baseline time information for the execution of cleaning steps involved in each cleaning stage included in the cleaning cycle; The benchmark time-consuming information is determined according to the equipment installation information of the cleaning equipment used in the corresponding cleaning step.

9. The method according to any one of claims 1 to 7, characterized in that Also includes: The temperature of the cleaning equipment included in the in-situ cleaning station is controlled according to the set temperature control method.

10. A cleaning management device for a cleaning-in-place station, characterized in that: include: A data acquisition module is used to collect cleaning execution data of the cleaning line included in the cleaning-in-place station, wherein the cleaning execution data is generated by the cleaning line when cleaning the cleaning object according to the cleaning cycle; an invalid cleaning data determining module, configured to determine invalid cleaning data of the cleaning line in the cleaning cycle according to the cleaning execution data; a target adjustment module, configured to determine, based on the invalid cleaning data, an invalid adjustment target for invalid cleaning generated by the cleaning line during cleaning execution, and adjust the invalid adjustment target according to a set cleaning adjustment strategy, so as to reduce invalid cleaning in the cleaning cycle by adjusting the invalid adjustment target; The invalid cleaning data determination module is specifically used to: Calculate the total elapsed time from the cleaning start time to the cleaning end time, and subtract the total elapsed time from the sum of the effective cleaning times of each stage in the cleaning element setting data to determine the total ineffective cleaning time of the cleaning line; Determining, from the cleaning execution data, the invalid impact time corresponding to each invalid impact dimension set; the invalid impact dimension includes accuracy time impact, conductivity impact, flow impact, temperature impact, pause time impact, and / or contamination time impact; the invalid impact time is the invalid cleaning time corresponding to each invalid impact dimension; Based on the total invalid cleaning time and each invalid impact time, the impact ratio result of each invalid impact dimension is determined, and the total invalid time ratio is determined by dividing the total invalid cleaning time by the total cleaning time. The impact ratio results and the total invalid time ratio are summarized to form the invalid cleaning data of the cleaning line in the cleaning cycle.

11. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively coupled to the at least one processor; The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the cleaning management method of the in-place cleaning station according to any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the cleaning management method of a cleaning-in-place station according to any one of claims 1 to 9 when executed.

13. A computer program product, characterized in that The computer program product comprises a computer program, which, when executed by a processor, implements the cleaning management method for a cleaning-in-place station according to any one of claims 1 to 9.

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