Printer response efficiency optimization system

Abstract

The invention discloses a printer response efficiency optimization system, and the system comprises a parallel processing module which is used for carrying out the parallel execution of all processing links of a printing task; the intelligent scheduling module is used for carrying out intelligent resource allocation according to the workload of each processing unit; the energy-saving optimization module is used for automatically adjusting an energy consumption mode according to the printing task state; the error correction retry module is used for detecting data transmission and processing errors in real time and automatically correcting errors; the printing engine optimization module is used for optimizing an algorithm and a key component movement track aiming at a printing engine; the self-learning optimization module is used for analyzing historical operation data and automatically adjusting optimization strategies and parameters so as to improve response efficiency; according to the invention, the operation process of the printer can be optimized at multiple levels, so that the whole process from task receiving to final printing output is efficiently processed, the response efficiency of the printer is remarkably improved, the waiting time of a user is reduced, the energy consumption is reduced, and the service life of equipment is prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of printing terminals, and in particular to a printer response efficiency optimization system. Background Art

[0002] Existing printers face numerous efficiency bottlenecks when processing print jobs, such as long task queues, slow data processing speeds, and complex command parsing. This results in a long delay from the time a user submits a print job to the actual print output, impacting the user experience. This issue is particularly prominent in office environments or those with high printing demands. Therefore, it is necessary to optimize the printer's response efficiency. Summary of the Invention

[0003] The object of the present invention is to provide a printer response efficiency optimization system in response to the above-mentioned problems in the prior art, thereby solving all or one of the above-mentioned problems in the prior art.

[0004] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows: The present invention provides a printer response efficiency optimization system, comprising: The task pre-analysis module is used to pre-analyze the printing task instructions sent by the user, extract and store key information; a prioritization module for prioritizing multiple print tasks based on a variety of factors; Data cache module, used to cache frequently used data display information and improve data processing speed; A parallel processing module is used to execute each processing link of the printing task in parallel; Intelligent scheduling module, used to intelligently allocate resources based on the workload of each processing unit; Energy-saving optimization module, used to automatically adjust energy consumption mode according to the printing task status; Error correction and retry module, used to detect data transmission and processing errors in real time and automatically correct them; Print engine optimization module, used to optimize the printing engine algorithm and key component motion trajectory; User feedback module, used to feedback the printer response status and collect user opinions; The self-learning optimization module is used to analyze historical operation data and automatically adjust optimization strategies and parameters to improve response efficiency.

[0005] As an improved solution, the task pre-analysis module is used to identify information such as the print content type, number of pages, and print resolution, and store the analysis results in a standardized format.

[0006] As an improved solution, the priority sorting module is further used to: support the user to set multiple priority rule parameters and comprehensively determine the task priority.

[0007] As an improved solution, the data cache module is further used to: support automatic cleaning of expired and infrequently used cache data, and adaptively adjust the cache size by real-time monitoring of the cache hit rate and occupancy rate. As an improved solution, the parallel processing module is further used to schedule subtasks of the printing task using asynchronous multi-threading technology. As an improved solution, the intelligent scheduling module is also used to: establish a low-latency communication link with each processing unit, monitor its operating status in real time, predict the load changes of the processing unit in advance and dynamically adjust the resource allocation strategy, and perform preventive resource allocation before the load peak arrives. As an improved solution, the error correction and retry module is further used to: use an intelligent algorithm to locate the error source, and adopt different retry strategies according to different error types when resending data. As an improved solution, the printing engine optimization module is further used to: optimize the page rendering algorithm using distributed computing technology, and distribute the rendering tasks to multiple computing nodes for parallel processing. As an improved solution, the user feedback module supports multi-channel feedback, including: graphical interface interaction, mobile push notification, and email feedback. As an improved solution, the self-learning optimization module is also used to: introduce a reinforcement learning algorithm, use the average response time of printing tasks, resource utilization, etc. as reward indicators, so that the optimization strategy continuously converges towards improving response efficiency.

[0008] The beneficial effect of the technical solution of the present invention is that the system can optimize the operating process of the printer at multiple levels, thereby achieving efficient processing of the entire process from task reception to final print output, significantly improving the response efficiency of the printer, reducing user waiting time, and at the same time reducing energy consumption and increasing the service life of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0010] Figure 1 2 is a schematic diagram of the architecture of the printer response efficiency optimization system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0011] The preferred embodiments of the present invention are described in detail below with reference to the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making a clearer and more precise definition of the protection scope of the present invention.

[0012] In the description of the present invention, it should be noted that the embodiments described in the present invention are only part of the embodiments of the present invention, rather than all of the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative work are within the scope of protection of the present invention.

[0013] The terms "first," "second," and the like in the specification and claims herein and in the accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a particular order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate so that the embodiments of the present invention described herein can be implemented in orders 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, apparatus, product, or device comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such process, method, product, or device. Example

[0014] This embodiment provides a system for optimizing printer response efficiency. Figure 1 As shown, including: The task pre-analysis module is used to pre-analyze the printing task instructions sent by the user, extract and store key information; a prioritization module for prioritizing multiple print tasks based on a variety of factors; Data cache module, used to cache frequently used data display information and improve data processing speed; A parallel processing module is used to execute each processing link of the printing task in parallel; Intelligent scheduling module, used to intelligently allocate resources based on the workload of each processing unit; Energy-saving optimization module, used to automatically adjust energy consumption mode according to the printing task status; Error correction and retry module, used to detect data transmission and processing errors in real time and automatically correct them; Print engine optimization module, used to optimize the printing engine algorithm and key component motion trajectory; User feedback module, used to feedback the printer response status and collect user opinions; The self-learning optimization module is used to analyze historical operation data and automatically adjust optimization strategies and parameters to improve response efficiency.

[0015] As an improved solution, the task pre-analysis module is used to identify information such as the print content type, number of pages, and print resolution, and store the analysis results in a standardized format.

[0016] As an improved solution, the priority sorting module is further used to: support the user to set multiple priority rule parameters and comprehensively determine the task priority.

[0017] As an improved solution, the data cache module is further used to: support automatic cleaning of expired and infrequently used cache data, and adaptively adjust the cache size by real-time monitoring of the cache hit rate and occupancy rate. As an improved solution, the parallel processing module is further used to schedule subtasks of the printing task using asynchronous multi-threading technology. As an improved solution, the intelligent scheduling module is also used to: establish a low-latency communication link with each processing unit, monitor its operating status in real time, predict the load changes of the processing unit in advance and dynamically adjust the resource allocation strategy, and perform preventive resource allocation before the load peak arrives. As an improved solution, the error correction and retry module is further used to: use an intelligent algorithm to locate the error source, and adopt different retry strategies according to different error types when resending data. As an improved solution, the printing engine optimization module is further used to: optimize the page rendering algorithm using distributed computing technology, and distribute the rendering tasks to multiple computing nodes for parallel processing. As an improved solution, the user feedback module supports multi-channel feedback, including: graphical interface interaction, mobile push notification, and email feedback. As an improved solution, the self-learning optimization module is also used to: introduce a reinforcement learning algorithm, use the average response time of printing tasks, resource utilization, etc. as reward indicators, so that the optimization strategy continuously converges towards improving response efficiency.

[0018] It should be noted that the examples herein are only for explaining the present invention and are not intended to limit the scope of protection of the present invention.

[0019] It should be understood that in the various embodiments of this document, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this document.

[0020] It should also be understood that in the embodiments herein, the term "and / or" merely describes an association between associated objects, indicating that three possible relationships exist. For example, "A and / or B" could represent: A alone, A and B simultaneously, or B alone. Furthermore, the character " / " in this document generally indicates an "or" relationship between the associated objects.

[0021] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the composition and steps of each example according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this document.

[0022] Those skilled in the art will clearly understand that, for the sake of convenience and brevity of description, the specific logical process of the method described above can refer to the corresponding working processes of the systems, devices and units in the aforementioned method embodiments, and will not be repeated here.

[0023] In the several embodiments provided herein, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices, or units, or can be an electrical, mechanical, or other form of connection.

[0024] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments herein.

[0025] In addition, the functional units in the various embodiments herein may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0026] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this article is essentially or the part that contributes to the existing technology, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of this article. The aforementioned storage medium includes: various media that can store program code, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0027] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structures or equivalent process changes made using the contents of the present invention's description and drawings, or directly or indirectly applied to other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A printer response efficiency optimization system, characterized in that: include: The task pre-analysis module is used to pre-analyze the printing task instructions sent by the user, extract and store key information; a prioritization module for prioritizing multiple print tasks based on a variety of factors; Data cache module, used to cache frequently used data display information and improve data processing speed; A parallel processing module is used to execute each processing link of the printing task in parallel; Intelligent scheduling module, used to intelligently allocate resources based on the workload of each processing unit; Energy-saving optimization module, used to automatically adjust energy consumption mode according to the printing task status; Error correction and retry module, used to detect data transmission and processing errors in real time and automatically correct them; Print engine optimization module, used to optimize the printing engine algorithm and key component motion trajectory; User feedback module, used to feedback the printer response status and collect user opinions; The self-learning optimization module is used to analyze historical operation data and automatically adjust optimization strategies and parameters to improve response efficiency.

2. The printer response efficiency optimization system according to claim 1, wherein: The task pre-analysis module is used to identify information such as the print content type, number of pages, and print resolution, and store the analysis results in a standardized format.

3. The printer response efficiency optimization system according to claim 1, wherein: The priority sorting module is also used to support users to set multiple priority rule parameters and comprehensively determine the priority of tasks.

4. The printer response efficiency optimization system according to claim 1, wherein: The data cache module is also used to support automatic cleaning of expired and infrequently used cache data, and adaptively adjust the cache size by real-time monitoring of cache hit rate and occupancy rate.

5. The printer response efficiency optimization system according to claim 1, wherein: The parallel processing module is further used to schedule subtasks of the printing task using asynchronous multi-threading technology.

6. The printer response efficiency optimization system according to claim 1, characterized in that: The intelligent scheduling module is also used to establish a low-latency communication link with each processing unit, monitor its operating status in real time, predict the load changes of the processing unit in advance and dynamically adjust the resource allocation strategy, and perform preventive resource allocation before the load peak arrives.

7. The printer response efficiency optimization system according to claim 1, characterized in that: The error correction and retry module is further used to: use an intelligent algorithm to locate the error source, and adopt different retry strategies according to different error types when resending data.

8. The printer response efficiency optimization system according to claim 1, wherein: The printing engine optimization module is further used to: optimize the page rendering algorithm using distributed computing technology, and distribute the rendering tasks to multiple computing nodes for parallel processing.

9. The printer response efficiency optimization system according to claim 1, characterized in that: The user feedback module supports multi-channel feedback, including: graphical interface interaction, mobile push notifications, and email feedback.

10. The printer response efficiency optimization system according to claim 1, wherein: The self-learning optimization module is also used to: introduce a reinforcement learning algorithm, use the average response time of printing tasks, resource utilization, etc. as reward indicators, so that the optimization strategy continuously converges towards improving response efficiency.

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