A method and system for intelligent prediction of printer consumable balance

Abstract

This invention provides a method and system for intelligent prediction of remaining consumables in a printer, belonging to the field of data processing technology. Specifically, it includes: determining the remaining printing time based on printing target data; determining the monitoring period for the 3D printer based on the remaining printing time and the printing target; determining a monitoring and processing scheme for the monitoring period based on the changes in the matching between the monitoring data from the weight sensor and the required weight of the consumables during the monitoring period; determining the verification processing result of the weight sensor using the inkjet volume and the monitoring data from the weight sensor based on the monitoring and processing scheme; and determining the weight range for adjusting the remaining consumables in the prediction processing scheme based on the verification processing result and the adjustment data of the inkjet volume for the printing target, thereby improving the reliability of the printing process.

Description

Technical Field

[0001] This invention belongs to the field of data processing technology, and in particular relates to a method and system for intelligent prediction of printer consumable balance. Background Technology

[0002] To achieve the prediction of printer consumable balance, existing technical solutions, as described in invention patent application CN202510300512.8 "An Intelligent Prediction Method and System for Printer Consumable Balance Based on Deep Learning," calculate the remaining ink volume and ink consumption rate prediction based on the inkjet consumption prediction value, then construct an ink volume warning classifier, and output the ink volume warning level according to the probability distribution. This invention addresses the problem of insufficient accuracy in predicting consumable balance in multi-material mixed printing scenarios using traditional printer consumable prediction methods. However, the above technical solutions have the following drawbacks:

[0003] In the field of 3D printing, the amount and uniformity of ink jet during the printing process cannot be accurately controlled. As the number of layers in inkjet additive manufacturing increases, the ink jet volume needs to be adjusted due to the curing effect of the inkjet nozzle. This means that when the weight sensor of the consumable has a monitoring deviation, it may not be able to effectively predict the remaining amount accurately. Therefore, how to use the ink jet volume to perform weight sensor calibration in advance and ensure the reliability of the remaining amount prediction has become an urgent technical problem to be solved.

[0004] To address the aforementioned technical problems, this application provides a method and system for intelligent prediction of printer consumable balance. Summary of the Invention

[0005] To achieve the objectives of this invention, the following technical solution is adopted:

[0006] Specifically, this application provides a method for intelligent prediction of printer consumable balance, which includes:

[0007] S1 uses the printing data of the 3D printer as a basis to determine the material requirement weight of the printing target of the 3D printer. Based on the historical monitoring data of the weight sensor corresponding to the material requirement weight of the printing target, it determines when the material balance needs to be predicted and adjusted. Based on the printing target data, it determines the remaining printing time and the monitoring period of the 3D printer.

[0008] S2 determines the monitoring and processing scheme for the monitoring period based on the monitoring data of the weight sensor during the monitoring period and the change data of the matching of the required weight of the consumables. Based on the monitoring and processing scheme, the verification processing result of the weight sensor is determined using the ink volume and the monitoring data of the weight sensor. Based on the verification processing result and the adjustment data of the ink volume of the printing target, the weight range of the adjustment processing of the remaining amount prediction processing scheme is determined.

[0009] The beneficial effects of this invention are as follows:

[0010] By using historical monitoring data from weight sensors corresponding to the required weight of consumables for the printing target, the system determines the need for predictive adjustment of consumable allowance. This enables the determination of the adjustment requirements for the consumable allowance prediction scheme when the allowance of the 3D printer can only meet the printing needs of one printing target, based on the reliability of weight sensor monitoring. This avoids the technical problem of poor printing reliability caused by insufficient allowance due to poor sensor monitoring reliability, which leads to unreliable printing of the printing target.

[0011] Based on the verification results and the inkjet volume adjustment data of the printing target, the weight range for the adjustment of the remaining amount prediction processing scheme is determined. This takes into account both the accuracy of the verification results of the weight sensor and the differences in inkjet volume adjustment requirements during subsequent printing processes due to differences in inkjet volume adjustment. This allows for the determination of the weight range for the remaining amount prediction processing scheme based on the adjustment amount and accuracy, thereby enabling early intervention of the prediction processing scheme and further improving the reliability of the printing target printing process.

[0012] Furthermore, the consumable weight required for the printing target is determined based on the consumable weight required for printing the printing target. Specifically, it is determined based on the amount of consumables used by the printing target during the printing process. In particular, the consumable requirement of the printing target in the current printing process is determined based on the amount of consumables used to complete printing the printing target in the previous printing process.

[0013] Furthermore, the historical monitoring data of the weight sensor corresponding to the required weight of the consumables is determined based on the historical monitoring data of the weight sensor within the interval corresponding to the required amount of consumables.

[0014] Furthermore, it was determined that a forecast adjustment of the consumables surplus was needed, specifically including:

[0015] The range corresponding to the required weight of consumables for the printing target is taken as the target range;

[0016] Based on the historical monitoring data of the weight sensors in the target range, determine the monitoring deviation of the weight sensors in the target range;

[0017] Based on the monitoring deviation, determine whether it is necessary to perform predictive adjustment of the remaining consumables.

[0018] Furthermore, the method for determining the weight range of the adjustment process in the surplus prediction processing scheme is as follows:

[0019] Based on the verification results, determine the monitoring times when the deviation rate does not meet the requirements in different monitoring periods;

[0020] Based on the inkjet volume adjustment data of the printing target, determine the inkjet volume adjustment rate of the printing target in different printing processes;

[0021] Based on the monitoring time data where the deviation rate does not meet the requirements and the adjustment rate of inkjet volume in different printing processes, the weight range of the adjustment process for the predicted processing scheme of the remaining amount is determined.

[0022] Secondly, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described intelligent prediction method for printer consumables balance when running the computer program.

[0023] Other features and advantages will be set forth in the following description, and the objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0024] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0025] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0026] Figure 1 This is a flowchart of a method for intelligent prediction of printer consumables remaining quantity;

[0027] Figure 2 This is a flowchart for determining the required consumable balance forecasting and adjustment process;

[0028] Figure 3 This is a flowchart illustrating the method for determining the monitoring period of a 3D printer;

[0029] Figure 4 This is a flowchart illustrating the method for determining the monitoring and treatment plan for a given monitoring period.

[0030] Figure 5 It is a framework diagram of a computer system. Detailed Implementation

[0031] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0032] In this application, the reliability of the weight sensor monitoring within the range corresponding to the amount of consumables required for printing is determined based on the printing target. This allows for advance calibration of the weight sensor, thereby ensuring the accuracy of the consumables balance prediction and improving the reliability of the printing process for the printing target.

[0033] Example 1

[0034] like Figure 1 As shown, this application provides a method for intelligent prediction of printer consumable balance, specifically including:

[0035] S1 uses the printing data of the 3D printer as a basis to determine the material requirement weight of the printing target of the 3D printer. Based on the historical monitoring data of the weight sensor corresponding to the material requirement weight of the printing target, it determines when the material balance needs to be predicted and adjusted. Based on the printing target data, it determines the remaining printing time and the monitoring period of the 3D printer.

[0036] Furthermore, the consumable weight required for the printing target is determined based on the consumable weight required for printing the printing target. Specifically, it is determined based on the amount of consumables used by the printing target during the printing process. In particular, the consumable requirement of the printing target in the current printing process is determined based on the amount of consumables used to complete printing the printing target in the previous printing process.

[0037] Furthermore, the historical monitoring data of the weight sensor corresponding to the required weight of the consumables is determined based on the historical monitoring data of the weight sensor within the interval corresponding to the required amount of consumables.

[0038] It should be noted that the interval corresponding to the demand for consumables is determined by the interval centered on the demand for consumables. Specifically, the product of the demand for consumables and a preset proportional factor is taken as the minimum endpoint of the interval, and the product of the demand for consumables and a second preset proportional factor is taken as the maximum endpoint of the interval.

[0039] In one possible specific embodiment, the preset scaling factor is 0.9, and the second preset scaling factor is 1.1.

[0040] Specifically, such as Figure 2 As shown, the process of predicting and adjusting the consumables inventory requires specific steps, including:

[0041] The range corresponding to the required weight of consumables for the printing target is taken as the target range;

[0042] Based on the historical monitoring data of the weight sensors in the target range, determine the monitoring deviation of the weight sensors in the target range;

[0043] Based on the monitoring deviation, determine whether it is necessary to perform predictive adjustment of the remaining consumables.

[0044] It is understandable that when the monitoring deviation does not meet the requirements, if the remaining consumables are within the target range, it will inevitably lead to an inability to accurately determine whether printing can continue. Therefore, it is determined that a predictive adjustment of the remaining consumables is needed to accurately determine whether printing can continue.

[0045] In one possible specific embodiment, when the number of monitoring deviations within the target range exceeds a preset deviation number threshold, for example, more than 3 times, it is determined that a predictive adjustment of the consumable balance is required.

[0046] Optionally, determine if a predictive adjustment of consumable inventory is required, specifically including:

[0047] The range corresponding to the required weight of consumables for the printing target is taken as the target range;

[0048] Based on the historical monitoring data of the weight sensors in the target range, determine the historical monitoring duration of the weight sensors in the target range;

[0049] Whether the remaining consumables need to be predicted and adjusted based on the historical monitoring duration.

[0050] It should be noted that when the historical monitoring duration is less than the preset monitoring duration threshold, it is determined that a predictive adjustment of the remaining consumables is required.

[0051] It should be noted that the printing target data is determined based on the quantity of printing targets.

[0052] Specifically, such as Figure 3 As shown, the method for determining the monitoring period of the 3D printer is as follows:

[0053] The number of printing targets is determined based on the printing target data;

[0054] Based on the printing target data, the printing processing time of the printing target is determined. Based on the printing processing time, the remaining time for the weight monitoring data of the consumables to reach the target range is determined and used as the verification remaining time.

[0055] The monitoring period for the 3D printer is determined based on the number of printing targets and the remaining verification time.

[0056] It is understandable that when the number of printing targets does not meet the requirements, in order to ensure the reliability of the 3D printer's weight sensor monitoring, the printing time period of the printing targets whose ink volume adjustment data meets the requirements is used as the monitoring time period.

[0057] In one possible specific embodiment, when the number of printing targets is not less than 10, the printing time period of the printing targets whose ink volume adjustment data meets the requirements is determined as the monitoring time period. That is, if the ink volume adjustment rate of the previous printing process in the current printing process is less than the preset adjustment rate threshold, the printing time period of the printing target in the current printing process is determined as the monitoring time period.

[0058] The printing process refers to the printing process of a printing target from the start of printing to the completion of printing.

[0059] It should be noted that the printing processing time refers to the time required to complete printing a single printing target. Furthermore, the method for determining the remaining time is as follows:

[0060] Based on the weight monitoring data of the consumables, determine the amount of consumables used when the weight of the consumables reaches the target range;

[0061] The ratio of the amount of consumables used to the weight of consumables required for the printing target is used as the required printing quantity for the printing target. The remaining verification time is determined by multiplying the required printing quantity by the printing processing time. In other words, under the current weight monitoring data, the shortest time to reach the target range when printing the target is processed.

[0062] Additionally, it should be noted that when the number of printing targets meets the requirements, it is also necessary to determine whether the remaining verification time is less than a preset remaining time threshold. If the remaining verification time is less than the preset remaining time threshold, then the printing time period of the printing targets whose inkjet volume adjustment data meets the requirements is determined to be the monitoring time period.

[0063] In one possible specific embodiment, if the remaining verification time is less than a preset remaining time threshold, then if the ink volume adjustment rate of the previous printing process in the current printing process is less than a preset adjustment rate threshold, for example, less than 5%, then the printing period of the printing target in the current printing process is determined as the monitoring period.

[0064] It should be noted that the adjustment rate of the ink jet volume in the previous printing process is determined based on the difference between the ink jet volume of the previous printing process and the reference ink jet volume, and the ratio of the ink jet volume of the previous printing process. It should also be noted that the reference ink jet volume is the ink jet volume corresponding to the printing process with the lowest ink jet volume before the previous printing process.

[0065] Additionally, it can be understood that when the remaining verification time is not less than a preset remaining time threshold, if the ink volume adjustment rate of the previous printing process in the current printing process is less than a second preset adjustment rate threshold, such as 2%, then the printing period of the printing target in the current printing process is the monitoring period.

[0066] Specifically, the preset adjustment rate threshold is greater than the second preset adjustment rate threshold.

[0067] S2 determines the monitoring and processing scheme for the monitoring period based on the monitoring data of the weight sensor during the monitoring period and the change data of the matching of the required weight of the consumables. Based on the monitoring and processing scheme, the verification processing result of the weight sensor is determined using the ink volume and the monitoring data of the weight sensor. Based on the verification processing result and the adjustment data of the ink volume of the printing target, the weight range of the adjustment processing of the remaining amount prediction processing scheme is determined.

[0068] Specifically, the method for determining the monitoring and processing plan for the monitoring period is as follows:

[0069] The monitoring data of the weight sensor after the printing of the previous period is completed is used as the remaining material amount of the 3D printer in the monitoring period. The difference between the remaining material amount and the maximum value of the endpoint of the target interval is used as the available material amount. Based on the available material amount and the material demand, the remaining material amount after the available material amount can meet the maximum number of printing targets is determined and used as the remaining available material amount.

[0070] Based on the changes in the remaining available consumables in a preset number of monitoring periods preceding the monitoring period, determine the amount of change in the remaining available consumables between different monitoring periods.

[0071] Based on the variation in the remaining available consumables between different monitoring periods, a monitoring period with a smaller available ratio than the previous monitoring period is identified and designated as the variable monitoring period. According to the composition data of the variable monitoring period in the preset number of monitoring periods and the variation in the available ratio, a monitoring and processing scheme for the monitoring period is determined.

[0072] Specifically, when the proportion of the change monitoring period in the preset number of monitoring periods is greater than the preset proportion value, it indicates that the monitoring period is more likely to be getting closer and closer to the endpoint of the target interval. Therefore, the monitoring processing scheme for the monitoring period is determined to be the first preset scheme.

[0073] Additionally, it should be noted that when the proportion of the change monitoring period in the preset number of monitoring periods is not greater than the preset proportion value, and when the ratio of the remaining available consumables to the consumable demand does not meet the requirements, since the deviation between the maximum value of the endpoints of the target interval and the 3D printer after printing multiple printing targets is small, it is determined that the first preset scheme is used for monitoring during the monitoring period.

[0074] Furthermore, when the ratio of the remaining available consumables to the required consumables meets the requirements, the change rate is determined based on the absolute value of the difference between the available ratio of the preset number of monitoring periods and the previous monitoring period. When the change rate does not meet the requirements, the first preset scheme is used for monitoring and processing during the monitoring period.

[0075] In one possible specific embodiment, the rate of change is determined based on the average of the absolute values ​​of the differences between the preset number of monitoring periods and the available ratio of the previous monitoring period. When the rate of change is greater than 0.05, it indicates that the system is gradually approaching the maximum value of the target interval at a relatively fast rate. Therefore, it is determined that the first preset scheme is used for monitoring and processing during the monitoring period.

[0076] It should also be noted that when the rate of change meets the requirements, the second preset scheme will be used for monitoring and processing during the monitoring period.

[0077] Furthermore, the verification result is determined based on the difference between the inkjet volume and the consumable consumption amount monitored by the weight sensor during the period between the monitoring time and the previous monitoring time. Specifically, it includes a deviation rate, wherein the deviation rate is determined by the ratio of the absolute value of the difference between the inkjet volume and the consumable consumption amount monitored by the weight sensor during the period between the monitoring time and the previous monitoring time to the consumable consumption amount monitored by the weight sensor during the period between the monitoring time and the previous monitoring time.

[0078] Specifically, the method for determining the weight range of the adjustment process in the prediction and processing scheme for the remaining amount is as follows:

[0079] Based on the verification results, determine the monitoring times when the deviation rate does not meet the requirements in different monitoring periods;

[0080] Based on the inkjet volume adjustment data of the printing target, the inkjet volume adjustment rate of the printing target in different printing processes is determined. Based on the adjustment rate, the printing process with an adjustment rate greater than the basic adjustment rate threshold is determined and regarded as the adjustment deviation process.

[0081] Based on the monitoring time data where the deviation rate does not meet the requirements and the deviation adjustment process, the weight range of the adjustment process for the prediction processing scheme of the remaining amount is determined.

[0082] It is understood that when the adjustment deviation process does not meet the requirements, for example, when the number of adjustment deviation processes is greater than the preset deviation process number threshold, the remaining time period will be used as the adjustment processing period of the residual prediction processing scheme.

[0083] It should also be noted that when the deviation adjustment process meets the requirements, the monitoring time data where the deviation rate does not meet the requirements in different monitoring periods are used as the basis. When the maximum value of the proportion of monitoring times where the deviation rate does not meet the requirements is greater than the preset monitoring time proportion threshold, the remaining time periods are all used as the adjustment periods for the residual prediction processing scheme.

[0084] Furthermore, when the maximum value of the proportion of monitoring times where the deviation rate does not meet the requirements is not greater than the preset monitoring time proportion threshold, and when the remaining amount of consumables is within the target range, the remaining time period will be used as the adjustment period for the remaining amount prediction processing scheme.

[0085] Real-time Example 2

[0086] Secondly, such as Figure 5As shown, the present invention provides a computer system, including: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described intelligent prediction method for printer consumables balance when running the computer program.

[0087] Specifically, such as Figure 4 As shown, the method for determining the monitoring and processing plan for the monitoring period is as follows:

[0088] The monitoring data of the weight sensor after the printing of the previous period is completed is used as the remaining material amount of the 3D printer in the monitoring period. The difference between the remaining material amount and the maximum value of the endpoint of the target interval is used as the available material amount. Based on the available material amount and the material demand, the remaining material amount after the available material amount can meet the maximum number of printing targets is determined and used as the remaining available material amount.

[0089] Based on the changes in the remaining available consumables in a preset number of monitoring periods preceding the monitoring period, determine the amount of change in the remaining available consumables between different monitoring periods.

[0090] Based on the variation in the amount of remaining available consumables during different monitoring periods and the amount of remaining available consumables during the monitoring period, a monitoring and processing scheme for the monitoring period is determined.

[0091] It should be noted that the remaining available consumable quantity is determined based on the ratio of the available consumable quantity to the consumable demand. Specifically, it is determined by multiplying the decimal point of the ratio by the consumable demand. For example, if the ratio is 1.2, then the remaining available consumable quantity is 0.2 multiplied by the consumable demand. This reflects the deviation between the maximum value at the endpoint of the target interval after multiple printing targets have been completed. The smaller the deviation, the greater the probability of it falling into the target interval, and the higher the monitoring requirement.

[0092] It is understood that the monitoring period preceding the monitoring period is the period during which the remaining consumables are monitored and processed before the monitoring period.

[0093] It is understandable that when the ratio of the remaining available consumables to the required consumables does not meet the requirements, since the deviation between the maximum value of the endpoints of the target interval and the 3D printer after printing multiple printing targets is small, it is determined that the first preset scheme will be used for monitoring during the monitoring period.

[0094] In one possible specific embodiment, when the ratio of the remaining available consumables to the required consumables is less than 0.1, it is determined that the first preset scheme will be used for monitoring during the monitoring period.

[0095] It should also be noted that when the ratio of the remaining available consumables to the required consumables meets the requirements, if the ratio of the remaining available consumables to the required consumables is greater than a preset ratio threshold, then the second preset scheme will be used for monitoring during the monitoring period.

[0096] In one possible specific embodiment, when the ratio of the remaining available consumables to the required consumables is less than 0.3, it is determined that the second preset scheme will be used for monitoring during the monitoring period.

[0097] Furthermore, if the ratio of the remaining available consumables to the required consumables is not greater than a preset ratio threshold, the change in the remaining available consumables is obtained, and the ratio of the remaining available consumables to the required consumables during the monitoring period is taken as the available ratio. If the available ratio of the preset number of monitoring periods preceding the monitoring period is not uniformly decreasing compared to the available ratio of the previous monitoring period, that is, if the available ratio of the monitoring period is not uniformly less than the available ratio of the previous monitoring period, then it is determined that the second preset scheme is used for monitoring processing during the monitoring period.

[0098] In one possible specific embodiment, the preset quantity is 3.

[0099] Additionally, it can be understood that if the available ratio of the preset number of monitoring periods preceding the monitoring period is decreasing compared to the previous monitoring period, the rate of change is determined based on the absolute value of the difference between the preset number of monitoring periods and the available ratio of the previous monitoring period. If the rate of change does not meet the requirements, then the first preset scheme is used for monitoring processing in the monitoring period.

[0100] In one possible specific embodiment, the rate of change is determined based on the average of the absolute values ​​of the differences between the preset number of monitoring periods and the available ratio of the previous monitoring period. When the rate of change is greater than 0.05, it indicates that the system is gradually approaching the maximum value of the target interval at a relatively fast rate. Therefore, it is determined that the first preset scheme is used for monitoring and processing during the monitoring period.

[0101] It should also be noted that when the rate of change meets the requirements, the second preset scheme will be used for monitoring and processing during the monitoring period.

[0102] In one possible specific embodiment, the first preset scheme is to perform monitoring processing according to the matching of the monitoring data of ink volume and consumable quantity of the weight sensor according to a preset time period, that is, whether the ink volume matches the reduction of consumable quantity of the weight sensor, for example, the preset time period is 1 minute.

[0103] Specifically, the second preset scheme involves monitoring the inkjet volume when it exceeds a preset inkjet volume threshold. This monitoring process involves matching the inkjet volume with the consumable quantity data from the weight sensor. Specifically, it checks whether the inkjet volume matches the reduction in consumable quantity from the weight sensor. In one possible embodiment, the preset inkjet volume threshold is determined based on a preset proportion of consumable demand, such as one-half, one-third, or one-quarter. This preset inkjet volume threshold must be greater than the inkjet volume over a preset time period by a preset multiple. For example, the preset multiple could be 2 or 3 times.

[0104] Real-time Example 3

[0105] Furthermore, the method for determining the weight range of the adjustment process in the surplus prediction processing scheme is as follows:

[0106] Based on the verification results, determine the monitoring times when the deviation rate does not meet the requirements in different monitoring periods;

[0107] Based on the inkjet volume adjustment data of the printing target, determine the inkjet volume adjustment rate of the printing target in different printing processes;

[0108] Based on the monitoring time data where the deviation rate does not meet the requirements and the adjustment rate of inkjet volume in different printing processes, the weight range of the adjustment process for the predicted processing scheme of the remaining amount is determined.

[0109] It is understood that the monitoring time when the deviation rate does not meet the requirements is when the deviation rate is greater than a preset threshold, such as more than 1%.

[0110] Furthermore, if the ink volume adjustment rate in the current printing process is greater than the preset adjustment rate threshold, it indicates that the ink volume adjustment is relatively frequent. Therefore, the printing periods after the current printing process are all used as the periods for adjustment by the predictive processing scheme.

[0111] In one possible specific embodiment, when the ink volume adjustment rate in the current printing process is greater than 7%, then all printing periods after the current printing process are used as periods for adjustment processing of the predictive processing scheme.

[0112] Additionally, it can be understood that when the adjustment rate of the inkjet volume in the current printing process is greater than the preset adjustment rate threshold, and it is determined that there is no monitoring moment where the deviation rate does not meet the requirements, then the target interval is used as the weight interval for the adjustment processing of the consumable's remaining amount prediction processing scheme.

[0113] Furthermore, when there are monitoring times where the deviation rate does not meet the requirements, the constituent data of monitoring times where the deviation rate does not meet the requirements in different monitoring periods are obtained. When the proportion of monitoring periods where the deviation rate does not meet the requirements is greater than the preset proportion value, the printing periods after the current printing process are all used as periods for adjustment in the predictive processing scheme.

[0114] In one possible embodiment, if the proportion of monitoring times in the monitoring period where the deviation rate does not meet the requirement is greater than 0.5 of all monitoring times in the monitoring period, then the monitoring period is determined to be a monitoring period in which the proportion of monitoring times where the deviation rate does not meet the requirement is greater than a preset value.

[0115] Additionally, it can be understood that when there is no monitoring period in which the proportion of monitoring times where the deviation rate does not meet the requirements is greater than the preset proportion, the adjustment rate threshold is determined based on the proportion of monitoring times in different monitoring periods where the deviation rate does not meet the requirements. When there is a printing process where the adjustment rate is greater than the adjustment rate threshold or the target range is reached, the remaining printing periods are all used as periods for adjustment processing in the prediction processing scheme.

[0116] In one possible specific embodiment, the adjustment rate threshold is determined by multiplying the maximum proportion of monitoring times in different monitoring periods where the deviation rate does not meet the requirements with the preset adjustment rate threshold to determine the threshold adjustment amount, and the difference between the preset adjustment rate threshold and the threshold adjustment amount is used as the adjustment rate threshold.

[0117] Specifically, if the adjustment rate of the previous printing process is greater than the adjustment rate threshold, then all time periods after the current printing process are considered as periods for adjustment processing of the predictive processing scheme. Conversely, if the adjustment rate of the previous printing process is greater than the adjustment rate threshold, and the consumable balance corresponding to the current printing process is within the target range, then all time periods after the current printing process are considered as periods for adjustment processing of the predictive processing scheme.

[0118] Furthermore, during the period of adjusting the predictive processing scheme, based on the inkjet volume per unit time period and the consumable consumption obtained by the weight sensor, the maximum values ​​of the consumption and inkjet volume per unit time period are determined. Then, using the maximum value and the remaining amount of consumables before the unit time period, the remaining amount of consumables after the unit time period is determined, that is, the remaining amount of consumables before the unit time period minus the maximum value.

[0119] In one possible specific embodiment, the unit time period is 20 seconds.

[0120] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0121] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0122] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A method of intelligent prediction of print consumable remaining quantity, characterized in that, Specifically comprising: Based on the printing data of the 3D printer, the consumable requirement weight of the printing target of the 3D printer is determined, and when it is determined that the prediction adjustment processing of the consumable residual amount needs to be performed, the remaining printing time is determined according to the printing target data, and the monitoring period of the 3D printer is determined based on the remaining printing time and the printing target; According to the change data of the matching condition of the monitoring data of the weight sensor in the monitoring period and the consumable requirement weight, the determination of the monitoring processing scheme of the monitoring period is performed, the determination of the verification processing result of the weight sensor is performed based on the monitoring processing scheme and the monitoring data of the weight sensor, and the weight interval of the adjustment processing of the prediction processing scheme of the residual amount is determined based on the verification processing result and the adjustment data of the ink ejection amount of the printing target.

2. The printer consumable level intelligent prediction method of claim 1, wherein, The consumable requirement weight of the printing target is determined according to the consumable weight required by the printing target.

3. The printer consumable level intelligent prediction method of claim 1, wherein, The historical monitoring data of the weight sensor corresponding to the consumable requirement weight is determined according to the historical monitoring data of the weight sensor in the interval corresponding to the consumable requirement weight.

4. The printer consumable level intelligent prediction method of claim 3, wherein, The interval corresponding to the consumable requirement weight is determined as the interval centered on the consumable requirement weight.

5. The printer consumable level intelligent prediction method of claim 1 wherein, When it is determined that the prediction adjustment processing of the consumable residual amount needs to be performed, specifically comprising: Taking the interval corresponding to the consumable requirement weight of the printing target as the target interval; Based on the historical monitoring data of the weight sensor in the target interval, the monitoring deviation condition of the weight sensor in the target interval is determined; According to the monitoring deviation condition, it is determined whether the prediction adjustment processing of the consumable residual amount needs to be performed.

6. The printer consumable level intelligent prediction method of claim 5, wherein, When the monitoring deviation condition does not meet the requirement, it is determined that the prediction adjustment processing of the consumable residual amount needs to be performed.

7. The printer consumable level intelligent prediction method of claim 1 wherein, The method for determining the weight interval of the adjustment processing of the prediction processing scheme of the residual amount is: Based on the verification processing result, the monitoring time when the deviation rate in different monitoring periods does not meet the requirement is determined; According to the adjustment data of the ink ejection amount of the printing target, the adjustment rate of the ink ejection amount in different printing processing processes of the printing target is determined; Based on the monitoring time when the deviation rate does not meet the requirement and the adjustment rate of the ink ejection amount in different printing processing processes, the weight interval of the adjustment processing of the prediction processing scheme of the residual amount is determined.

8. The printer consumable level intelligent prediction method of claim 7, wherein, The monitoring time when the deviation rate does not meet the requirement is the time when the deviation rate is greater than the preset threshold.

9. The printer consumable level intelligent prediction method of claim 7, wherein, When the adjustment rate of the ink ejection amount in the current printing processing process is greater than the preset adjustment rate threshold, the printing period after the current printing processing process is adjusted as the period of the prediction processing scheme.

10. A computer system comprising: The memory and processor connected in communication, and the computer program stored on the memory and capable of running on the processor, characterized in that the processor executes the computer program to perform the printer consumable residual amount intelligent prediction method of any one of claims 1-9.

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