Fault monitoring management method and system for remote network printer

Abstract

The invention relates to the technical field of fault monitoring, in particular to a remote network printer fault monitoring management method and system. The method comprises the following steps: acquiring remote printing demand data; the 2D printing style of the remote printing demand data is confirmed, the ink content needed by the 2D printing style is calculated, and ink demand data is obtained; the storage content of printing ink is obtained through an ink monitoring sensor arranged in the remote network printer; performing ink shortage judgment on the ink storage content and the ink demand data, generating first fault early warning data or standby ink content, and continuously monitoring printing head state data of the remote network printer; and carrying out use temperature monitoring on the printing head state data, and carrying out ink evaporation analysis on the printing ink storage content by utilizing a temperature monitoring result to generate ink evaporation data. According to the invention, through intelligent ink monitoring, temperature monitoring and ink jet abnormity repairing strategies, the fault diagnosis accuracy and processing efficiency of the remote network printer are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of fault monitoring, and in particular to a fault monitoring management method and system for a remote network printer. Background Art

[0002] In the early days, printers mostly relied on local connections, connected to computers through simple interfaces, and fault monitoring mainly relied on manual inspection. With the development of computer network technology, printers gradually have network connection functions, and users can achieve remote printing through local area networks (LANs) or wide area networks (WANs). At this time, the monitoring and management of printer faults are still relatively simple, mostly relying on the device's own status indicator and basic fault alarm mechanism. With the rise of cloud computing, big data and Internet of Things (IoT) technologies, remote network printers have begun to have more intelligent management functions. Printers can not only automatically identify and connect in the network, but also transmit working status and fault information to the management system in real time. At this time, fault monitoring has changed from passive manual intervention to active intelligent monitoring. The system can automatically analyze the fault type and issue warnings based on the use of the printer, greatly improving the efficiency of fault handling. However, most of the existing technologies lack comprehensive monitoring of the print head status, especially the impact of ink evaporation. At the same time, traditional inkjet problem repair usually relies on manual intervention and lacks targeted solutions, which leads to low fault diagnosis accuracy and processing efficiency of remote network printers. Summary of the invention

[0003] Based on this, it is necessary to provide a fault monitoring and management method and system for a remote network printer to solve at least one of the above technical problems.

[0004] To achieve the above object, a remote network printer fault monitoring and management method is provided, the method comprising the following steps:

[0005] Step S1: Acquire remote printing demand data; confirm the 2D printing style of the remote printing demand data, and calculate the ink content required for the 2D printing style to obtain ink demand data;

[0006] Step S2: obtaining the printing ink storage content through the ink monitoring sensor built into the remote network printer; performing ink shortage judgment on the ink storage content and the ink demand data, generating first fault warning data or spare ink content and continuously monitoring the print head status data of the remote network printer;

[0007] Step S3: monitor the use temperature of the print head status data, and use the temperature monitoring result to perform ink evaporation analysis on the printing ink storage content to generate ink evaporation data; predict the inkjet breakpoint of the print head status data through the ink evaporation data to obtain the second fault warning data;

[0008] Step S4: Based on the second fault warning data, the 2D printing style is analyzed for abnormal inkjet breakpoint path to obtain the abnormal inkjet breakpoint path; the abnormal inkjet breakpoint path is finely controlled and ink replenishment strategy is executed through the spare ink content, thereby generating an inkjet abnormality repair report.

[0009] The present invention ensures real-time acquisition of ink storage content and print head status data through the built-in ink monitoring sensor and print head status monitoring of the remote network printer, which helps to comprehensively monitor ink consumption and print head status, and avoid the impact of ink shortage or print head failure on printing tasks. The system generates the first fault warning data through ink shortage discrimination, and generates the second fault warning data in combination with ink evaporation analysis, so as to timely discover potential problems, take remedial measures in advance, and reduce the failure rate. Through the spare ink content and print head status data, the system can perform abnormal path analysis on the inkjet breakpoint, accurately identify the inkjet problem, and repair it through a refined flow control ink replenishment strategy, effectively improving the printing accuracy and success rate. This warning and repair mechanism helps to reduce interruptions caused by insufficient ink or print head failure, ensure the continuity and high-quality output of 2D printing tasks, and improve overall printing efficiency and stability. The process realizes remote monitoring and automated printing process optimization, reduces the need for manual intervention, adapts to the needs of remote operation and unattended printing, and improves user experience and operational convenience. The fault warning data, evaporation data, and repair report data generated by the system can help users make more scientific maintenance decisions and optimize the long-term use and maintenance strategy of the printer. Therefore, the present invention improves the fault diagnosis accuracy and processing efficiency of the remote network printer through intelligent ink monitoring, temperature monitoring and inkjet abnormality repair strategy.

[0010] Preferably, step S1 comprises the following steps:

[0011] Divide the remote printing demand data into data modes to obtain the printing demand text mode and the printing demand image mode;

[0012] According to the preset blank printing template, the printing requirement image modality is mapped to generate an initial printing template;

[0013] Using the printing demand text modality, the remote printing demand data is subjected to printing part-of-speech semantic recognition to obtain printing keywords; the initial printing template is enhanced with the printing keywords to generate a printing enhancement template;

[0014] The printing enhancement template is simulated in 2D display to obtain the 2D printing style of the remote printing demand data, and the printing ink content of the 2D printing style is calculated to obtain the ink demand data.

[0015] The present invention divides the remote printing demand data into data modes, and the system can clearly distinguish between text and image data, so that different types of printing demands can be processed in a targeted manner. This method ensures that the demands of each mode can be fully analyzed and utilized, and improves the accuracy of demand analysis. By mapping the demand to the image mode according to the preset blank printing template, an initial printing template can be quickly generated to ensure that the printing process meets the predetermined design requirements. Then, the demand data is printed using the text mode to recognize the semantics of part of speech, and the template details are enhanced after extracting keywords to ensure that the template is more personalized and accurate and adapts to diverse printing needs. The 2D display simulation of the printing enhancement template can intuitively display the final effect of remote printing, provide users with a clearer preview, and help discover potential problems in advance. By calculating the ink content of the 2D printing style, the amount of ink required in the printing process can be accurately predicted, effectively avoiding the problem of ink shortage and ensuring that the printing is completed smoothly. This detailed demand analysis and template enhancement process can automatically adjust and optimize the printing parameters, thereby reducing manual intervention and reducing the error rate. At the same time, the 2D display simulation and ink demand calculation make the entire printing process more efficient, reduce the possibility of trial and error, and improve the printing accuracy. By processing different printing requirements (including text and images) separately, we can better adapt to users' customized needs and provide more personalized printing services. This flexibility ensures that printing tasks can be completed efficiently and accurately.

[0016] Preferably, calculating the printing ink content of the 2D printing pattern includes:

[0017] Extracting geometric information of the 2D printing style, wherein the geometric information includes vertices, faces and volumes, and parsing the slice level of the 2D printing style to obtain printing layer slice data, wherein the printing layer slice data includes a cross-sectional profile and a filling method;

[0018] Determine the fill area of ​​each layer in the print layer based on vertices, faces, volumes, and cross-sectional profiles, and calculate ink coverage area;

[0019] The required ink volume of the filling area of ​​each layer in the printing layer is calculated by filling, and the ink coverage area and the required ink volume are integrated into the ink demand data.

[0020] The present invention can accurately analyze the structure and characteristics of each printing layer by extracting the geometric information (vertices, faces and volumes) of the 2D printing style and parsing the slice level. This detailed analysis ensures that the ink demand calculation can cover the entire printing style, not only considering the geometric shape, but also combining the slice data of the printing layer, so that the distribution and amount of ink are calculated more accurately. Based on the vertex, face and volume information of each layer, the filling area of ​​each layer can be clarified, and the ink coverage area can be calculated. This method allows every inch of space used by ink to be accurately evaluated, avoiding ink waste and ensuring that the printing effect of each layer meets expectations. By calculating the ink volume of the filling area of ​​each layer according to the filling method of the printing layer, the system can consider the difference in ink demand under different filling modes (such as the difference between solid filling and hollow filling). This method can more flexibly respond to different printing needs and improve the accuracy of ink demand. By integrating the ink coverage area and the required ink volume data, accurate ink demand data is generated, which helps to reasonably allocate ink during the printing process and avoid unnecessary waste. This precise calculation and optimization improves the efficiency of ink use, reduces costs, and helps to reduce environmental impact.

[0021] Preferably, determining ink shortage based on the ink storage content and ink demand data includes:

[0022] Performing ink shortage judgment on the ink storage content and the ink demand data, and when the ink storage content is less than the ink demand data, issuing an ink shortage fault warning to the remote network printer, and generating first fault warning data;

[0023] When the ink storage content is greater than or equal to the ink demand data, a difference calculation is performed between the ink storage content and the ink demand data to obtain the standby ink content;

[0024] Retrieve printing device management data through the device management module built into the printer;

[0025] Based on the spare ink content data, the printing device management data is screened for connected devices to obtain the print head data of the remote network printer;

[0026] The device operation status of the print head data of the remote network printer is analyzed to generate the print head status data of the remote network printer.

[0027] The present invention can monitor whether the ink is sufficient in real time by distinguishing the ink storage content and the ink demand data, so as to avoid the interruption of printing caused by the shortage of ink. When the ink storage volume is lower than the demand, the system will immediately trigger the ink shortage fault warning and generate the first fault warning data, so as to ensure that the operator takes supplementary measures in time and reduce the interruption and impact of the printing task. When the ink storage content is sufficient, the system will calculate the spare ink content and perform subsequent operations according to this data. This not only improves the intelligence of ink management, but also ensures the balance of ink consumption during the printing process, and avoids the printing progress being affected by insufficient ink. By retrieving the printing equipment management data and filtering the print head data, the system can comprehensively monitor the printing equipment. By analyzing the equipment operation status of the print head data, the working status, health status and potential failure risks of the print head can be grasped in real time, thereby reducing the production interruption caused by equipment failure. By analyzing the status of the print head based on the equipment management data, the system can generate accurate print head status data, which enables the equipment maintenance personnel to quickly identify the problem and perform timely maintenance, effectively reducing the downtime and improving the operation efficiency and life of the equipment.

[0028] Preferably, using the temperature monitoring result to perform ink evaporation analysis on the printing ink storage content includes:

[0029] The temperature monitoring result is used to construct a mathematical function of the ink evaporation rate for the printing ink storage content, and the mathematical function of the ink evaporation rate is obtained, wherein the mathematical function of the ink evaporation rate is as follows:

[0030] E=k·(T-T0) n ;

[0031] Where E is the ink evaporation rate, k is the evaporation coefficient, T is the ambient temperature, T0 is the reference temperature, and n is the temperature dependence index;

[0032] The mathematical function of ink evaporation rate is used to model the time series relationship of the temperature monitoring results to generate evaporation time series relationship data. The formula for time series relationship modeling is as follows:

[0033] M(t)=M0·e -k·t ;

[0034] Where M(t) is the remaining mass of ink at time t, M0 is the initial mass of ink, k is the evaporation coefficient, and t is time;

[0035] The inkjet continuity impact analysis of the print head status data is performed using the evaporation timing relationship data to generate the print head inkjet continuity data; the inkjet continuity data of the print head is used to perform ink evaporation analysis on the printing ink storage content to generate ink evaporation data.

[0036] The present invention can accurately predict the rate of ink evaporation through the temperature monitoring results and the mathematical function of the ink evaporation rate. Through the established mathematical function of the ink evaporation rate, the system can dynamically calculate the evaporation rate of the ink according to different environmental temperature changes, ensuring the real-time accuracy of the evaporation process. Based on the mathematical function of the evaporation rate, the temperature monitoring results are modeled in a time series relationship, and the remaining mass of the ink in the time change can be tracked in real time. This time series modeling method can provide a long-term prediction of ink consumption, which helps to identify potential ink shortage problems in advance and ensure the ink supply during the printing process. Through the evaporation time series relationship data, the inkjet continuity impact analysis of the print head status data can be carried out, and the impact of ink evaporation on the inkjet quality of the print head can be detected and predicted in real time, which ensures the stability of the inkjet continuity and avoids problems such as inkjet breakpoints, uneven inkjet or reduced print quality due to too fast or uneven ink evaporation. Using the print head inkjet continuity data and ink evaporation analysis, the system can finely manage the ink storage content. When it is found that the ink evaporation rate is too fast, the system can automatically adjust the ink supply strategy or adjust other parameters in the printing process to ensure stable printing quality and avoid ink waste and quality fluctuations. The generation and analysis of ink evaporation data makes the flow of ink during printing more accurate, thereby improving printing stability. By dynamically adjusting ink consumption and the working status of the inkjet system, high-quality print output can be maintained, reducing printing interruptions and defects. Through ink evaporation analysis and inkjet continuity impact analysis, potential risks of equipment failure (such as insufficient ink or nozzle clogging) can be identified in advance, and preventive maintenance can be performed, which helps to extend the service life of printing equipment and reduce equipment maintenance costs.

[0037] Preferably, predicting the inkjet breakpoint of the print head status data by using the ink evaporation data comprises:

[0038] The print head status data is timestamped and confirmed by the ink evaporation data to obtain the print head ink ejection timestamp;

[0039] Extract ink flow characteristics from the print head status data using the inkjet timestamp of the print head to obtain ink flow characteristic data; divide the ink flow characteristic data into data sets to generate a model training set and a model test set;

[0040] The model training set is trained according to the long short-term memory neural network algorithm to generate an inkjet breakpoint timing prediction pre-model; the inkjet breakpoint timing prediction pre-model is optimized and iterated according to the model test set to generate an inkjet breakpoint timing prediction model;

[0041] The ink evaporation data is imported into the inkjet breakpoint timing prediction model to perform inkjet breakpoint timing prediction, thereby generating an inkjet breakpoint prediction timestamp; based on the inkjet breakpoint prediction timestamp, an inkjet failure warning is performed on the remote network printer to generate second failure warning data.

[0042] The present invention can efficiently predict the inkjet breakpoints that occur during the printing process by combining ink evaporation data with print head status data and using LSTM neural network algorithm for model training. This prediction model can identify inkjet interruptions in advance to ensure the smooth completion of the printing task. The ink evaporation data and print head status data are used for timestamp confirmation, so that the inkjet process can be analyzed in detail in chronological order. This time series analysis helps the system to better understand and capture the changes in ink flow and inkjet state, thereby providing a more accurate basis for breakpoint prediction. By extracting the ink flow features of the print head status data, the generated data set can effectively help establish a more accurate prediction model. The training set is trained by the long short-term memory neural network, and the test set is optimized and iterated, and finally an efficient inkjet breakpoint timing prediction model is generated. The inkjet breakpoint timing prediction model can predict potential inkjet breakpoints in real time according to the ink evaporation data, and generate an inkjet breakpoint prediction timestamp. Based on the prediction results, the system can issue an inkjet fault warning in advance and generate a second fault warning data to ensure that the print head fault can be discovered and processed in time to avoid printing interruption. By predicting and preventing inkjet breakpoints, the system can ensure inkjet continuity and stability, which greatly improves the success rate of printing tasks, avoids the impact of inkjet interruptions on print quality, and ensures perfect output of every print detail.

[0043] Preferably, step S4 comprises the following steps:

[0044] Step S41: performing abnormal inkjet breakpoint path analysis on the 2D printing style based on the second fault warning data to obtain the abnormal inkjet breakpoint path;

[0045] Step S42: executing a fine flow control and ink replenishment strategy on the abnormal inkjet breakpoint path according to the reserve ink content, thereby generating flow control and ink replenishment control data;

[0046] Step S43: Perform breakpoint visual feedback on the 2D printing style based on the flow control ink replenishment control data, generate breakpoint visual feedback data, and visualize the flow control ink replenishment control data according to the breakpoint visual feedback data, thereby generating an inkjet abnormality repair report.

[0047] The present invention can accurately analyze the inkjet breakpoint path that occurs during the 2D printing process by applying the second fault warning data. This analysis ensures that potential problems can be identified and solved in advance during the actual printing process, thereby improving the stability and accuracy of printing. The fine flow control ink replenishment strategy is executed through the spare ink content, ensuring that when the inkjet breakpoint occurs, the ink replenishment adjustment can be performed immediately. This fine flow control ink replenishment scheme effectively solves the problem of insufficient ink or inkjet interruption, ensuring the continuity and efficiency of the 2D printing task. The flow control ink replenishment control data can greatly improve the printing accuracy and ink use efficiency through the application of scientific strategies. For areas where inkjet breakpoints occur, the system can automatically perform ink replenishment operations, thereby avoiding unnecessary printing interruptions and ink waste. By performing breakpoint visual feedback on the 2D printing style based on the flow control ink replenishment control data, the effect of the ink replenishment operation and the printing process can be displayed in real time. This visual feedback mechanism enables the operator to intuitively monitor the printing status and ink replenishment effect, ensuring that each layer and each detail of the print meets the expected requirements. Visualizing the flow control and ink replenishment data through breakpoint visual feedback data can help users better understand and analyze the ink replenishment process. This data visualization not only makes the operation process more transparent, but also provides data support for subsequent fault analysis and optimization.

[0048] Preferably, step S41 includes the following steps:

[0049] Step S411: extracting the print style structure of the 2D print style based on the second fault warning data to obtain print style structure data, wherein the print style structure data includes two-dimensional plane structure data and three-dimensional structure data;

[0050] Step S412: confirming the warning timestamp of the second fault warning data, and performing style printing inkjet path simulation on the two-dimensional plane structure data according to the warning timestamp to generate style printing inkjet path simulation data;

[0051] Step S413: performing ink dot connectivity analysis on the style printing inkjet path simulation data to generate ink dot connectivity data; selecting abnormal printing areas for the 2D printing style through the three-dimensional structure data to obtain abnormal printing areas;

[0052] Step S414: selecting the center point of the abnormal printing area, and spatially connecting the center points of the area, thereby generating an abnormal inkjet breakpoint path.

[0053] The present invention can fully understand the two-dimensional plane structure and three-dimensional structure of the printing style by extracting the structure of the 2D printing style. This detailed structural data provides an important basis for the subsequent inkjet path simulation and breakpoint path analysis, which helps to improve the accuracy and reliability of the printing process. By confirming the warning timestamp of the second fault warning data, the warning information can be closely combined with the inkjet path simulation of the printing style to ensure timely response before the fault occurs. This process ensures that the abnormalities in the printing process can be identified and processed in advance, avoiding stagnation or quality problems in the production process. The inkjet path simulation of the two-dimensional plane structure data based on the warning timestamp can accurately predict and optimize the inkjet path. This simulation provides clear path guidance for the subsequent inkjet control and ink replenishment strategy, so that the inkjet method can be adjusted in real time to ensure the printing quality. Through the ink dot connectivity analysis, the coherence and continuity of the ink dots in the inkjet process can be effectively evaluated. This analysis helps to identify the risk of inkjet interruption or uneven inkjet in advance, and provides data support for the subsequent ink replenishment strategy, avoiding printing interruption and ink waste. By selecting abnormal areas of the print style through 3D structural data, the problematic areas can be accurately located, which allows subsequent troubleshooting to be targeted and avoids ineffective intervention and unnecessary repairs during the entire printing process. By selecting the center points of the abnormal printing area and connecting these points in spatial order, an accurate abnormal inkjet breakpoint path can be generated. This path provides clear guidance for subsequent ink filling control and inkjet repair, ensuring that inkjet abnormalities are effectively repaired and optimized.

[0054] Preferably, step S42 includes the following steps:

[0055] Step S421: performing inkjet breakpoint position coordinate conversion on the abnormal inkjet breakpoint path to obtain inkjet breakpoint coordinate data; performing local incremental supplement on the abnormal inkjet breakpoint path according to the inkjet breakpoint coordinate data to generate a breakpoint progressive repair strategy;

[0056] Step S422: performing adjacent breakpoint search on the inkjet breakpoint coordinate data to obtain adjacent breakpoint data; performing breakpoint connectivity repair on the inkjet breakpoint coordinate data based on the adjacent breakpoint data to generate a breakpoint connectivity repair strategy;

[0057] Step S423: extract the ink usage of the breakpoint progressive repair strategy and the breakpoint interconnection repair strategy to obtain the breakpoint progressive repair ink usage and the breakpoint interconnection repair ink usage; perform intelligent allocation of the spare ink content based on the breakpoint progressive repair ink usage and the breakpoint interconnection repair ink usage to generate flow control ink replenishment control data.

[0058] The present invention can fully understand the two-dimensional plane structure and three-dimensional structure of the printing style by extracting the structure of the 2D printing style. This detailed structural data provides an important basis for the subsequent inkjet path simulation and breakpoint path analysis, which helps to improve the accuracy and reliability of the printing process. By confirming the warning timestamp of the second fault warning data, the warning information can be closely combined with the inkjet path simulation of the printing style to ensure timely response before the fault occurs. This process ensures that the abnormalities in the printing process can be identified and processed in advance, avoiding stagnation or quality problems in the production process. The inkjet path simulation of the two-dimensional plane structure data based on the warning timestamp can accurately predict and optimize the inkjet path. This simulation provides clear path guidance for the subsequent inkjet control and ink replenishment strategy, so that the inkjet method can be adjusted in real time to ensure the printing quality. Through the ink dot connectivity analysis, the coherence and continuity of the ink dots in the inkjet process can be effectively evaluated. This analysis helps to identify the risk of inkjet interruption or uneven inkjet in advance, and provides data support for the subsequent ink replenishment strategy, avoiding printing interruption and ink waste. By selecting abnormal areas of the print style through 3D structural data, the problematic areas can be accurately located, which allows subsequent troubleshooting to be targeted and avoids ineffective intervention and unnecessary repairs during the entire printing process. By selecting the center points of the abnormal printing area and connecting these points in spatial order, an accurate abnormal inkjet breakpoint path can be generated. This path provides clear guidance for subsequent ink filling control and inkjet repair, ensuring that inkjet abnormalities are effectively repaired and optimized.

[0059] In this specification, a remote network printer fault monitoring and management system is provided, which is used to execute the above-mentioned remote network printer fault monitoring and management method. The remote network printer fault monitoring and management system includes:

[0060] The demand analysis module is used to obtain remote printing demand data; confirm the 2D printing style of the remote printing demand data, and calculate the ink content required for the 2D printing style to obtain ink demand data;

[0061] The first early warning module is used to obtain the printing ink storage content through the ink monitoring sensor built into the remote network printer; to perform ink shortage judgment on the ink storage content and the ink demand data, to generate the first fault early warning data or the spare ink content and to continuously monitor the print head status data of the remote network printer;

[0062] The second early warning module is used to monitor the use temperature of the print head status data, and use the temperature monitoring result to perform ink evaporation analysis on the printing ink storage content to generate ink evaporation data; predict the inkjet breakpoint of the print head status data through the ink evaporation data to obtain the second fault early warning data;

[0063] The fault repair module is used to analyze the abnormal inkjet breakpoint path of the 2D printing style based on the second fault warning data to obtain the abnormal inkjet breakpoint path; and to execute the fine flow control ink replenishment strategy on the abnormal inkjet breakpoint path through the spare ink content, so as to generate an inkjet abnormality repair report.

[0064] The beneficial effect of the present invention is that the demand analysis module can accurately obtain remote printing demand data and calculate the ink demand of the 2D printing style based on these data. In this way, an accurate ink volume prediction can be provided for subsequent printing preparation, avoiding the problem of excessive or insufficient ink, and improving the efficiency and reliability of printing. The first early warning module tracks the ink storage situation in real time through the ink monitoring sensor, and distinguishes the lack of ink in combination with the ink demand data, and can issue a fault warning in time to remind the operator to replenish the ink when it is insufficient. This real-time monitoring helps to avoid interruption of the printing process and ensure the continuity and stability of the printing task. The second early warning module analyzes the ink evaporation through the temperature monitoring results, generates ink evaporation data and predicts the inkjet breakpoint. This prediction mechanism based on ambient temperature can effectively judge the evaporation rate of ink under different working environments, predict potential inkjet breakpoints, thereby achieving early warning and reducing the occurrence of inkjet failures. The fault repair module analyzes the abnormal inkjet breakpoint path of the 2D printing style through the second fault warning data, and further generates an inkjet abnormal repair report. By executing the refined flow control ink replenishment strategy for the abnormal path, it can automatically repair before the breakpoint occurs, avoiding the interruption of the printing task and improving the printing quality and stability. Therefore, the present invention improves the fault diagnosis accuracy and processing efficiency of the remote network printer through intelligent ink monitoring, temperature monitoring and inkjet abnormality repair strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 A schematic diagram of the steps of a remote network printer fault monitoring and management method;

[0066] Figure 2 for Figure 1 Detailed implementation steps of step S4 in FIG.

[0067] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0068] The following is a clear and complete description of the technical method of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are 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 technicians in this field without creative work are within the scope of protection of the present invention.

[0069] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0070] It should be understood that although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, a first unit may be referred to as a second unit, and similarly, a second unit may be referred to as a first unit, and the term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0071] To achieve this, please refer to Figure 1 to Figure 2 , a fault monitoring and management method for a remote network printer, the method comprising the following steps:

[0072] Step S1: Acquire remote printing demand data; confirm the 2D printing style of the remote printing demand data, and calculate the ink content required for the 2D printing style to obtain ink demand data;

[0073] Step S2: obtaining the printing ink storage content through the ink monitoring sensor built into the remote network printer; performing ink shortage judgment on the ink storage content and the ink demand data, generating first fault warning data or spare ink content and continuously monitoring the print head status data of the remote network printer;

[0074] Step S3: monitor the use temperature of the print head status data, and use the temperature monitoring result to perform ink evaporation analysis on the printing ink storage content to generate ink evaporation data; predict the inkjet breakpoint of the print head status data through the ink evaporation data to obtain the second fault warning data;

[0075] Step S4: Based on the second fault warning data, the 2D printing style is analyzed for abnormal inkjet breakpoint path to obtain the abnormal inkjet breakpoint path; the abnormal inkjet breakpoint path is finely controlled and ink replenishment strategy is executed through the spare ink content, thereby generating an inkjet abnormality repair report.

[0076] The present invention ensures real-time acquisition of ink storage content and print head status data through the built-in ink monitoring sensor and print head status monitoring of the remote network printer, which helps to comprehensively monitor ink consumption and print head status, and avoid the impact of ink shortage or print head failure on printing tasks. The system generates the first fault warning data through ink shortage discrimination, and generates the second fault warning data in combination with ink evaporation analysis, so as to timely discover potential problems, take remedial measures in advance, and reduce the failure rate. Through the spare ink content and print head status data, the system can perform abnormal path analysis on the inkjet breakpoint, accurately identify the inkjet problem, and repair it through a refined flow control ink replenishment strategy, effectively improving the printing accuracy and success rate. This warning and repair mechanism helps to reduce interruptions caused by insufficient ink or print head failure, ensure the continuity and high-quality output of 2D printing tasks, and improve overall printing efficiency and stability. The process realizes remote monitoring and automated printing process optimization, reduces the need for manual intervention, adapts to the needs of remote operation and unattended printing, and improves user experience and operational convenience. The fault warning data, evaporation data, and repair report data generated by the system can help users make more scientific maintenance decisions and optimize the long-term use and maintenance strategy of the printer. Therefore, the present invention improves the fault diagnosis accuracy and processing efficiency of the remote network printer through intelligent ink monitoring, temperature monitoring and inkjet abnormality repair strategy.

[0077] In the embodiment of the present invention, reference Figure 1 The above is a schematic flow chart of the steps of a remote network printer fault monitoring and management method of the present invention. In this example, the remote network printer fault monitoring and management method includes the following steps:

[0078] Step S1: Acquire remote printing demand data; confirm the 2D printing style of the remote printing demand data, and calculate the ink content required for the 2D printing style to obtain ink demand data;

[0079] In an embodiment of the present invention, 2D printing demand data of a user or remote device is obtained through an Internet or local area network connection. The data may be from a 2D modeling software, a CAD file, or a print request form. The demand data includes basic information of the printing object, such as size, shape, structural complexity, and other specific requirements (such as material type, printing quality requirements, etc.). Verify whether the acquired data meets the printing requirements, check whether it contains missing data or erroneous data, and correct it if so. Preprocess the acquired model to ensure that it can be accepted by the 2D printer, such as converting the file format (such as STL, OBJ format), and repairing the geometric problems of the model (such as non-manifold edges, repeated faces, etc.). Confirm whether the printing task is initiated by the correct remote device. The security and correctness of the printing data can be ensured by an authentication mechanism. Connect the remote printing device to verify whether the printing capability of the device and the required consumables (such as ink, material) match. Confirm the 2D printing style according to the demand data, which includes selecting an appropriate printing mode (such as FDM, SLA, SLS, etc.) and determining its applicable printing material. Through automated algorithms or manual selection, the appropriate printing mode and printing material parameters, such as printing accuracy and printing speed, are matched. The printing style is optimized to ensure that the selected style can efficiently use ink and reduce waste. For example, the style is adjusted through parameters such as layering, support structure, and filling density to achieve the best effect. According to the 2D printing style and the volume of the model, the amount of ink required is calculated, which can be estimated by calculating the surface area and volume of the 2D model and combining the efficiency of the use of ink materials. The amount of ink required for each layer is determined by using an appropriate algorithm (such as a calculation method based on voxel segmentation). Based on the number of layers and printing density of the printing style, the trend of ink consumption is predicted. For example, in areas with more fillers, the ink consumption is higher, and vice versa. The ink consumption can be simulated by simulation software to obtain more accurate ink demand data. Ink demand data is generated by combining information such as printing style, model volume, filling settings, and printing mode. The data includes parameters such as ink type, quantity (volume or weight), and consumption rate.

[0080] Step S2: obtaining the printing ink storage content through the ink monitoring sensor built into the remote network printer; performing ink shortage judgment on the ink storage content and the ink demand data, generating first fault warning data or spare ink content and continuously monitoring the print head status data of the remote network printer;

[0081] In an embodiment of the present invention, the remaining ink volume data of the ink storage bin is obtained in real time by utilizing the ink monitoring sensor built into the remote network printer. The sensor usually monitors the volume or quality of the ink by using technologies such as photoelectric, pressure, conductivity or weight sensing. The ink storage volume data is transmitted to the control system through a wireless network (such as Wi-Fi, Bluetooth, etc.) to ensure real-time update and remote access of the data. A regular data acquisition and transmission mechanism is configured in the ink monitoring system of the remote printer to ensure that the ink storage volume is detected every time printing or within a specific time interval. The ink storage content data is transmitted to the monitoring server or the printing management system through the remote network, so as to facilitate remote monitoring and analysis of the ink usage status. The ink storage content data obtained in real time is compared with the calculated ink demand data. If the ink storage content is lower than the ink demand, it is determined to be an ink shortage. A threshold judgment method (such as setting a minimum ink storage volume threshold) is used to trigger an ink shortage alarm. For example, if the ink storage volume is less than 20% of the ink demand, it is determined to be an ink shortage and a fault warning is triggered. A mathematical model or algorithm is used to compare the ink storage volume and ink demand data. If the ink storage volume differs too much from the demand data (for example, the difference exceeds a preset percentage), an ink shortage alarm is generated. Data fusion technology can be used to combine ink consumption prediction and real-time monitoring data to increase the accuracy of the judgment. If the ink shortage judgment result is ink shortage, the system will generate the first fault warning data to notify the printer operator or system administrator. The warning data will include: current ink storage volume, ink demand, ink shortage percentage, recommended treatment measures (such as changing ink, replenishing ink) and other information. Fault warnings can be sent via SMS, email or the alarm system in the printer to ensure timely handling of ink shortage problems. If the system detects that the ink is insufficient, it can ensure that printing continues by monitoring the ink level in the spare ink tank or spare ink cartridge. The system will check the ink content of the spare ink tank and switch to the spare ink tank if the spare ink is sufficient. The system can predict the use time of the spare ink through algorithms, warn of the risk of insufficient spare ink in advance, and generate monitoring data for the spare ink content. Continuously monitor the print head status data of the remote printer to ensure that the print head can be adjusted or stopped in time when there is a shortage of ink or abnormal ink flow. Print head status data includes temperature, pressure, nozzle clogging detection, etc. If a print head abnormality is found (such as nozzle clogging, uneven ink jetting, etc.), the system will generate a print head fault warning to ensure that there will be no quality problems during the printing process. The system automatically generates a spare ink content report, including the remaining ink volume in the spare ink tank, the estimated available time, and the ink demand comparison of the current printing task. If the spare ink volume is insufficient, the system will automatically remind the user to replace or replenish the ink, and provide a procurement link or automatic order function. The ink status monitoring results and warning information are communicated to relevant personnel or users in real time through the user interface, email or message push to ensure timely response.The system can summarize data from ink monitoring, fault warning and print head status monitoring to generate detailed reports, making it easier for users to review and make decisions.

[0082] Step S3: monitor the use temperature of the print head status data, and use the temperature monitoring result to perform ink evaporation analysis on the printing ink storage content to generate ink evaporation data; predict the inkjet breakpoint of the print head status data through the ink evaporation data to obtain the second fault warning data;

[0083] In the embodiment of the present invention, the temperature of the print head is monitored in real time by installing temperature sensors at key positions of the print head. These temperature sensors can be of the type of thermocouples, thermistors or infrared sensors, etc., and can accurately measure the working temperature of the print head. The temperature monitoring interval should be set according to the working cycle of the printer, and the temperature data is usually recorded once after each inkjet or each printed layer is completed. The temperature data is transmitted to the remote monitoring system through the network to ensure that the operator can view the working temperature of the print head in real time. If the temperature exceeds the preset range (for example, overheating or overcooling), immediate measures need to be taken. Based on the ink type and the working environment conditions of the print head, a mathematical model of ink evaporation is established. Usually, the evaporation rate of the ink is directly related to the temperature of the print head. High temperature causes excessive evaporation of the ink, resulting in changes in the ink concentration, thereby affecting the printing quality. Using the temperature monitoring results and the ink storage content data, combined with the physical and chemical properties of the ink (such as evaporation point, solvent concentration, etc.), evaporation analysis is performed to calculate the evaporation amount of the ink. Thermodynamic and fluid dynamic models are applied to predict the behavior of ink evaporation. For example, assuming that the evaporation rate of the ink is exponentially related to the temperature, the Arrhenius equation or a similar formula can be used to calculate the effect of temperature change on ink evaporation: In the formula, E evap is the ink evaporation rate, A is a constant, E ais the activation energy, R is the gas constant, and T is the working temperature. Based on the temperature monitoring results and the evaporation model of the ink, the ink evaporation data is generated to describe the evaporation amount of the ink under different temperature conditions and its impact on the ink storage amount. The evaporation data should include information such as time, temperature, evaporation rate, and the amount of remaining ink for subsequent analysis and prediction. Based on the generated ink evaporation data, a relationship model between ink evaporation and the inkjet state of the print head is established. If the ink evaporates too much, the ink concentration will change, affecting the inkjet head's jetting ability and even causing inkjet interruption. The machine learning algorithm or physical modeling algorithm is used to predict the breakpoint of the inkjet head in combination with the ink evaporation rate, print head temperature and other related data. For example, the impact of excessive ink evaporation on the inkjet effect is predicted through regression analysis or neural network models, and potential inkjet interruption points are identified. Based on the ink evaporation and temperature data, the working state of the inkjet head is continuously monitored. If it is found that the working conditions of the inkjet head tend to be unstable (such as abnormal jetting frequency or decreased ink flow), it is considered that there is a risk of inkjet breakpoint. The breakpoint trigger conditions can be set in the model, such as when the ink flow is lower than a certain threshold or the nozzle temperature exceeds the safe working range, the risk of inkjet interruption can be predicted. If the ink evaporation data and inkjet breakpoint prediction algorithm detect that the print head inkjet is interrupted or the jet is unstable, the system will generate the second fault warning data. The warning data includes: the current inkjet head operating temperature, ink storage content, evaporation rate, breakpoint prediction time, recommended operations (such as lowering the temperature, adjusting the nozzle working mode or replacing the ink), etc. The second fault warning data is sent to the user or operator through various channels (such as SMS, email, printer display prompt, etc.) so that timely measures can be taken to prevent printing interruptions. The system can set the function of automatically adjusting the print head temperature, or suspend the printing job when the temperature is abnormal and wait for the operator to intervene manually. Based on the ink evaporation data and inkjet breakpoint prediction, the system can automatically adjust the temperature control system of the print head to ensure that the inkjet head temperature remains within the ideal range, thereby reducing printing problems caused by excessive ink evaporation. If the ink evaporation exceeds the standard or the temperature is too high, the system can start the backup cooling system or suspend the current task until the ink and temperature return to normal levels.

[0084] Step S4: Based on the second fault warning data, the 2D printing style is analyzed for abnormal inkjet breakpoint path to obtain the abnormal inkjet breakpoint path; the abnormal inkjet breakpoint path is finely controlled and ink replenishment strategy is executed through the spare ink content, thereby generating an inkjet abnormality repair report.

[0085] In an embodiment of the present invention, by inputting the second fault warning data, including information such as print head temperature, ink storage content, ink evaporation rate, and inkjet breakpoint prediction, the fault warning data is combined with the path data of the 2D printing style to analyze the potential inkjet breakpoint path. For example, by simulating the printing path and the working mode of the inkjet head, the area where the inkjet is interrupted when the ink evaporates too much or the temperature is abnormal is found. Using image processing algorithms or path tracking technology, by analyzing the slice data of the 2D printing style and the working status data of the print head, the path where abnormal inkjet occurs is identified. Commonly used path analysis techniques include: on the printing path of the 2D printing style, identifying areas where the ink is insufficient or evaporated excessively, forming abnormal inkjet paths. Based on the working status of the inkjet head and the ink evaporation data, the printing process is simulated to identify potential inkjet breakpoint paths, which usually occur when the ink is consumed too quickly or the print head temperature is abnormal, and abnormal inkjet breakpoint paths are generated and marked. By highlighting these paths, the operator can clearly see in which printing areas the inkjet is interrupted, so as to facilitate further measures. According to the spare ink content data monitored in real time during the printing process, determine whether the spare ink is sufficient to replenish the abnormal inkjet path area. The analysis of the spare ink will determine whether ink replenishment is needed. If the spare ink is sufficient, the replenishment operation can be carried out directly; if the spare ink is insufficient, the system will remind the operator to prepare more ink or switch to the spare ink tank. By analyzing the flow and consumption rate of the spare ink, combined with the length and complexity of the abnormal inkjet breakpoint path, flow control analysis is performed. Flow control analysis will help formulate the optimal ink replenishment strategy to ensure that the ink can be accurately replenished to the ink-deficient area to avoid interruption of the printing process. Based on the abnormal inkjet breakpoint path and the spare ink content data, the system designs a sophisticated flow control ink replenishment strategy. The goal of the ink replenishment strategy is to ensure that the ink is evenly distributed in the abnormal path and avoid waste or excessive inkjet. Through precise path tracking, the system can determine the area that needs to be replenished with ink according to the density of the path, inkjet requirements, etc., and perform local replenishment. Control the ink replenishment speed to avoid uneven printing caused by too fast or too slow ink jetting. According to the printing speed and ink replenishment requirements, adjust the ink jetting rate to adapt to different path requirements. By real-time monitoring of the ink distribution during the printing process, the ink replenishment path is dynamically adjusted to ensure that the inkjet head can smoothly pass through the abnormal inkjet breakpoint path. If the ink is unevenly distributed or the ink replenishment is insufficient, the system will automatically increase the ink replenishment amount to ensure that the ink reaches the key positions of the breakpoint path smoothly. According to the sophisticated ink replenishment strategy, the system automatically performs the ink replenishment operation. The system will control the inflow rate of the spare ink and accurately replenish ink to the abnormal inkjet path. The ink replenishment process should be synchronized with the printing process to avoid interfering with the normal operation of other printing areas.

[0086] Preferably, step S1 comprises the following steps:

[0087] Divide the remote printing demand data into data modes to obtain the printing demand text mode and the printing demand image mode;

[0088] According to the preset blank printing template, the printing requirement image modality is mapped to generate an initial printing template;

[0089] Using the printing demand text modality, the remote printing demand data is subjected to printing part-of-speech semantic recognition to obtain printing keywords; the initial printing template is enhanced with the printing keywords to generate a printing enhancement template;

[0090] The printing enhancement template is simulated in 2D display to obtain the 2D printing style of the remote printing demand data, and the printing ink content of the 2D printing style is calculated to obtain the ink demand data.

[0091] In an embodiment of the present invention, remote printing demand data is obtained, and the data includes a text description of the printing task, an image or model file, specification requirements, etc. The remote printing demand data is modally divided into a printing demand text modality and a printing demand image modality using natural language processing (NLP) technology. The text part in the data is semantically analyzed, including task description, material requirements, size specifications, etc. The image or design model in the data is extracted, and image processing is performed, such as image preprocessing, edge detection, feature extraction, etc., to ensure that the image information can correctly reflect the printing requirements. Based on a preset blank printing template, the printing demand image modality is converted into an operable printing pattern. The blank template represents a general, unprocessed printing framework, which is used to ensure that the printing demand image modality can be accurately mapped to a template that meets the actual printing requirements. Through image registration or template matching technology, the key information in the printing demand image modality is mapped to the blank printing template. Automated image processing technology, such as template matching algorithm and shape matching technology, is used to identify key parts (such as size, shape, and boundary) in the image and correspond them to the corresponding positions of the blank template. Perform semantic recognition of the part of speech of the printing requirement text modality, and extract key printing information from the text, such as the material, color, precision requirements, and functional requirements of the printed object. Use semantic analysis technology (such as part of speech tagging, dependency syntax analysis, and named entity recognition) to identify keywords related to printing, and mark these keywords as important parameters in the printing process (such as printing speed, layer thickness, resolution, etc.). Printing keywords include material type (such as plastic, metal), printing size, color, surface treatment requirements, etc. By combining rules and machine learning models, key information related to the printing process can be accurately extracted. Based on the printing keywords, the initial printing template is enhanced with template details to ensure that the template can more accurately meet the remote printing requirements. For example, if the keyword mentions the need for high-precision printing or specific surface treatment requirements, the template will be adjusted accordingly. Automatically optimize the details of the template through algorithms, such as adding subtle textures, adjusting edge precision, and improving structural stability. According to the accuracy and complexity requirements of the printing requirements, enhance the structure and appearance of the template to ensure that the expected effect is achieved during the printing process. Perform 2D display simulation on the printed enhanced template, and simulate the final 2D printing effect through visualization software to ensure the matching degree between the template design and the printing task. Use 3D modeling software (such as CAD, Blender, SolidWorks, etc.) to convert the enhanced template into a 2D model and simulate the printing process. During the simulation, check the printing path, number of printing layers, nozzle movement, etc. to verify whether the design meets the actual printing requirements. According to the 2D display simulation results, use the geometric parameters of the printing template (such as printing volume, number of layers, nozzle flow rate, etc.) to calculate the required ink content. This calculation will take into account the ink consumption of each layer during the printing process and ultimately derive the ink demand data.Based on factors such as the volume of the printing area, material density, and printing accuracy, the ink consumption is calculated using physical formulas or simulation models.

[0092] Preferably, calculating the printing ink content of the 2D printing pattern includes:

[0093] Extracting geometric information of the 2D printing style, wherein the geometric information includes vertices, faces and volumes, and parsing the slice level of the 2D printing style to obtain printing layer slice data, wherein the printing layer slice data includes a cross-sectional profile and a filling method;

[0094] Determine the fill area of ​​each layer in the print layer based on vertices, faces, volumes, and cross-sectional profiles, and calculate ink coverage area;

[0095] The required ink volume of the filling area of ​​each layer in the printing layer is calculated by filling, and the ink coverage area and the required ink volume are integrated into the ink demand data.

[0096] In an embodiment of the present invention, the following geometric information is extracted through a CAD model or STL file of a 2D print style: coordinate data of all vertices in the model, triangle or polygonal face data formed by connecting vertices, and the total physical volume of the entire print style (including the shell and the filling part) calculated by the geometric model. The 2D print style is sliced, and the model is usually cut into multiple horizontal layers (slices) using slicing software (such as Cura, PrusaSlicer, etc.). Each layer represents a printing stage of 2D printing. Based on the cross-sectional profile of each layer, the area of ​​the printing area is calculated, especially the outer contour and the filling area. The outer contour area is the outer boundary of each layer, and the printer will print the edges of these areas. According to the filling method in the slice data, the filling structure in each layer is determined. The filling can be solid, grid-like, or honeycomb-like, which directly affects the distribution and coverage area of ​​the ink. The area of ​​the outer contour and filling area of ​​each layer is calculated. The area of ​​the filling area can be estimated based on the filling density (such as 10% filling, 50% filling, etc.) and the filling type. According to the filling area and filling method of each layer, the ink volume required for each layer is calculated. The volume calculation method is different for different filling methods: For honeycomb filling and grid filling, the ink volume of each layer is calculated based on the filling density and the height of the layer. For solid filling, the volume of each layer is equal to the product of the area of ​​the cross-sectional profile and the thickness of the printed layer (usually 0.1-0.3mm). The ink coverage area and ink volume of each layer are summed up to obtain the total ink requirement data for the entire printing task. The total ink requirement data of all printed layers is obtained by accumulating layer by layer. Based on the calculation of the ink volume and coverage area of ​​each layer, the total ink requirement of the entire printing style is finally obtained.

[0097] Preferably, determining ink shortage based on the ink storage content and ink demand data includes:

[0098] Performing ink shortage judgment on the ink storage content and the ink demand data, and when the ink storage content is less than the ink demand data, issuing an ink shortage fault warning to the remote network printer, and generating first fault warning data;

[0099] When the ink storage content is greater than or equal to the ink demand data, a difference calculation is performed between the ink storage content and the ink demand data to obtain the standby ink content;

[0100] Retrieve printing device management data through the device management module built into the printer;

[0101] Based on the spare ink content data, the printing device management data is screened for connected devices to obtain the print head data of the remote network printer;

[0102] The device operation status of the print head data of the remote network printer is analyzed to generate the print head status data of the remote network printer.

[0103] In an embodiment of the present invention, the ink storage content is compared with the ink demand data. If the ink storage amount is less than the demand amount, that is, the ink is insufficient, an ink shortage fault warning is generated. When the ink storage content is less than the demand data, the ink shortage fault warning is triggered, and the first fault warning data is generated. The data should include alarm information, ink shortage amount, and time prediction affecting the printing task. If the ink storage content is greater than or equal to the ink demand data, no ink shortage warning is required. At this time, the spare ink content can be calculated, that is, the difference between the storage amount and the demand amount. The spare ink content can be used for subsequent flow control ink replenishment strategy to ensure the ink supply during the printing process. The printer's built-in device management module is used to retrieve the printing device management data, including the printer's operating status, the health status of each component, the ink usage history, the execution status of the printing task, etc. The device management data contains all the working states of the printer, such as the operation status of the print head, the ink usage, the fault log of the printing device, etc., which can help detect whether the device has a potential failure risk. The device management data of the printer is obtained through the device's API interface or management software (such as CUPS, OctoPrint, etc.). Using the reserve ink content as a condition, the management data of the printing device is filtered to determine whether the use of the device's print head needs to be optimized or replaced. The print head data of the remote network printer is filtered out from the device management data, including the remaining ink volume, service life, status information, etc. of each print head. The filtering logic is the filtering condition = if the reserve ink content>0, then continue to filter the print head data. This logic ensures that the status of the print head will continue to be evaluated only when the reserve ink is sufficient. The filtered print head data is analyzed for the device operation status and its health status and working status. For example, the ink jetting status, nozzle blockage, and operating temperature of the print head are analyzed. Detect whether the print head is jetting ink normally, whether there is uneven ink jetting or blockage, obtain the operating temperature of the print head through the device sensor, and compare it with the standard temperature range to confirm whether it is overheated, detect the status of the print head nozzle through the built-in sensor, such as whether there is blockage, whether it affects the ink jet effect, and analyze whether the ink flow in the print head is normal, and whether there is insufficient or excessive ink supply. After the above analysis, the print head status data is generated, which includes the health status of the print head, potential fault information, and any abnormal conditions that need attention. The print head status data can be used as a decision-making basis for subsequent operations to ensure the normal progress of printing tasks.

[0104] Preferably, using the temperature monitoring result to perform ink evaporation analysis on the printing ink storage content includes:

[0105] The temperature monitoring result is used to construct a mathematical function of the ink evaporation rate for the printing ink storage content, and the mathematical function of the ink evaporation rate is obtained, wherein the mathematical function of the ink evaporation rate is as follows:

[0106] E=k·(T-T0) n ;

[0107] Where E is the ink evaporation rate, k is the evaporation coefficient, T is the ambient temperature, T0 is the reference temperature, and n is the temperature dependence index;

[0108] The mathematical function of ink evaporation rate is used to model the time series relationship of the temperature monitoring results to generate evaporation time series relationship data. The formula for time series relationship modeling is as follows:

[0109] M(t)=M0·e -k·t ;

[0110] Where M(t) is the remaining mass of ink at time t, M0 is the initial mass of ink, k is the evaporation coefficient, and t is time;

[0111] The inkjet continuity impact analysis of the print head status data is performed using the evaporation timing relationship data to generate the print head inkjet continuity data; the inkjet continuity data of the print head is used to perform ink evaporation analysis on the printing ink storage content to generate ink evaporation data.

[0112] In the embodiment of the present invention, a mathematical function of the ink evaporation rate is constructed by using the temperature monitoring result. The relationship between the ink evaporation rate E and the ambient temperature T can be expressed by the following formula: E = k·(T-T0) n ; In the formula, E is the ink evaporation rate, k is the evaporation coefficient, T is the ambient temperature, T0 is the reference temperature, and n is the temperature dependence index; the evaporation coefficient k needs to be preset through experiments or theoretical models, and can be obtained through multiple tests. n is generally 1 or 2, but in actual applications, it needs to be adjusted according to the specific composition and characteristics of the ink. The mathematical function of the ink evaporation rate is used to perform time series modeling of the residual mass of the ink. Based on the evaporation rate formula, the following time function can be derived to describe the evaporation process of the ink: M(t) = M0·e -k·t; In the formula, M(t) is the remaining mass of the ink at time t, M0 is the initial ink mass, k is the evaporation coefficient, and t is time; according to different ambient temperatures T (provided by the temperature monitoring sensor), the evaporation rate formula will be used to calculate the ink evaporation rate at each moment, and then the remaining mass of the ink will be predicted based on the rate and time t. Through the formula calculation, the time series data M(t) of the ink evaporation process can be obtained, which will represent the dynamic process of ink evaporation over time. According to the evaporation time series relationship data, how the remaining amount of ink affects the inkjet continuity of the print head is analyzed. The reduction of ink will affect the ink supply capacity of the print head, resulting in interruption or uneven inkjet, thereby affecting the print quality. If the remaining amount of ink is reduced to a certain extent, the inkjet will be interrupted (no ink output from the nozzle). If the ink evaporates too quickly, the inkjet pressure of the nozzle will be unstable, which will affect the print quality. The analysis of the impact on inkjet continuity can be carried out by monitoring the inkjet status of the print head, such as whether the nozzle is blocked, whether the inkjet is uniform, etc. When conducting a specific analysis, a threshold can be set, and when the remaining ink volume is lower than the threshold, an abnormal inkjet continuity alarm is generated. Based on these analysis results, a print head inkjet continuity data can be generated to record the specific impact of ink evaporation on the print head inkjet effect, including whether there is inkjet interruption or uneven inkjet.

[0113] Preferably, predicting the inkjet breakpoint of the print head status data by using the ink evaporation data comprises:

[0114] The print head status data is timestamped and confirmed by the ink evaporation data to obtain the print head ink ejection timestamp;

[0115] Extract ink flow characteristics from the print head status data using the inkjet timestamp of the print head to obtain ink flow characteristic data; divide the ink flow characteristic data into data sets to generate a model training set and a model test set;

[0116] The model training set is trained according to the long short-term memory neural network algorithm to generate an inkjet breakpoint timing prediction pre-model; the inkjet breakpoint timing prediction pre-model is optimized and iterated according to the model test set to generate an inkjet breakpoint timing prediction model;

[0117] The ink evaporation data is imported into the inkjet breakpoint timing prediction model to perform inkjet breakpoint timing prediction, thereby generating an inkjet breakpoint prediction timestamp; based on the inkjet breakpoint prediction timestamp, an inkjet failure warning is performed on the remote network printer to generate second failure warning data.

[0118] In an embodiment of the present invention, the residual mass and evaporation rate of the ink are monitored within a specific time period by collecting ink evaporation data. A timestamp is generated based on the ink evaporation data to confirm the start and end time of the ink jetting of the print head. Each timestamp represents a key change point of the ink, usually including the change of the remaining amount of ink, the change of the evaporation rate, and the state of the ink jetting of the print head. For example, if the ink evaporation rate reaches a certain critical value or the ink jetting is interrupted, the timestamp represents the change at that moment. Through timestamp analysis, ink jetting time series data can be obtained, and these timestamps will be used as input data for subsequent prediction models. The ink flow characteristics of the print head are extracted using the timestamp data. The ink flow characteristics include information such as ink flow rate, flow change, and ink jetting duration. The ink flow rate can be estimated by the difference in ink evaporation between consecutive timestamps, and the pattern of ink flow in each time period can be analyzed to determine whether there is a risk of discontinuous or interrupted ink jetting. Based on these flow characteristics, ink flow characteristic data are generated, including but not limited to parameters such as ink flow rate, ink jetting stability, and ink jetting volume. The ink flow characteristic data is divided into a model training set and a model test set. The model training set is used to train the LSTM model, and the test set is used to verify the prediction ability of the model. The historical inkjet data is selected as the training set. These data usually contain the timestamp of the inkjet of the print head, the ink flow characteristics, and the known inkjet breakpoints. A part of the unused inkjet data is selected as the test set to evaluate the effect of the model. The training set is trained using the long short-term memory (LSTM) neural network algorithm. LSTM has a strong ability to predict time series data and is suitable for this kind of inkjet breakpoint prediction based on time series. Input the ink flow characteristic data and output the timestamp of the inkjet breakpoint (that is, the expected inkjet interruption or breakpoint occurrence time). The LSTM model is trained to identify the relationship between the ink flow characteristics and the inkjet breakpoint, so as to accurately predict the inkjet breakpoint. The LSTM model is optimized based on the data of the model test set. The goal of this stage is to adjust the network parameters (for example, the learning rate, the number of network layers, etc.) to improve the prediction accuracy of the model. Through multiple iterations of training, the model is optimized to improve its accuracy in inkjet breakpoint prediction. The trained and optimized LSTM model will generate an inkjet breakpoint timing prediction model, which can predict the occurrence time of the inkjet breakpoint based on the new ink evaporation data. The new ink evaporation data is input into the trained LSTM model to perform inkjet breakpoint timing prediction and generate an inkjet breakpoint prediction timestamp, which is the time when the model predicts the next inkjet breakpoint will occur. Based on the predicted inkjet breakpoint timestamp, if the model predicts that an inkjet breakpoint will occur (i.e., the ink level is too low or the inkjet is discontinuous), an inkjet fault warning is issued through the device management system of the remote network printer. When the inkjet breakpoint prediction timestamp is close to the current time or exceeds the preset time threshold, a fault warning signal is issued, thereby generating the second fault warning data.

[0119] As an example of the present invention, refer to Figure 2 As shown, in this example, step S4 includes:

[0120] Step S41: performing abnormal inkjet breakpoint path analysis on the 2D printing style based on the second fault warning data to obtain the abnormal inkjet breakpoint path;

[0121] Step S42: executing a fine flow control and ink replenishment strategy on the abnormal inkjet breakpoint path according to the reserve ink content, thereby generating flow control and ink replenishment control data;

[0122] Step S43: Perform breakpoint visual feedback on the 2D printing style based on the flow control ink replenishment control data, generate breakpoint visual feedback data, and visualize the flow control ink replenishment control data according to the breakpoint visual feedback data, thereby generating an inkjet abnormality repair report.

[0123] In an embodiment of the present invention, by using the inkjet breakpoint prediction timestamp information obtained from the second fault warning data, this data source already includes a prediction of the time when the inkjet breakpoint occurs. 2D printing style data is obtained, which includes the geometric shape of the printed model, the hierarchical slice data and the inkjet trajectory. According to the inkjet breakpoint prediction timestamp and the geometric data of the printing style, the inkjet breakpoint path that occurs during the printing process is analyzed. Using a path analysis algorithm (such as based on topological optimization, inkjet path algorithm, etc.), the area and path where the inkjet interruption occurs during the printing process are calculated, which includes identifying which areas and layers of inkjet instability or interruption based on the analysis of ink flow and evaporation characteristics. Output the abnormal inkjet breakpoint path, which indicates the critical path area where the ink supply and flow have problems during the 2D printing process. Obtain the spare ink content obtained from step S4 to supplement the missing ink. The calculation of the spare ink volume is usually completed by the ink storage management module in the system, and determines whether the flow control ink replenishment strategy needs to be started based on the remaining ink volume and the demand volume. For the abnormal inkjet breakpoint path, a fine flow control ink replenishment strategy is designed based on the spare ink content. The goal of the ink replenishment strategy is to ensure sufficient ink supply on the breakpoint path by controlling the ink flow and inkjet pressure. The ink replenishment strategy includes the following: determine the amount of ink that needs to be replenished, calculate it according to the printing requirements of each layer and the complexity of the inkjet breakpoint path, adjust the inkjet pressure according to the ink demand, avoid uneven inkjet or excessive ink waste, dynamically adjust the timing and frequency of ink replenishment according to the real-time monitoring of the printing progress and ink consumption, and generate flow control ink replenishment control data, which provides a basis for subsequent visual feedback and ink replenishment execution. The flow control ink replenishment control data includes the ink replenishment path, ink replenishment amount and timing information that need to be executed. Using the flow control ink replenishment control data, breakpoint visual feedback is performed on the abnormal inkjet breakpoint path in the 2D printing style. The feedback is achieved through the rendering and display of the 2D model, showing which areas have inkjet interruptions and which areas have been repaired by the fine ink replenishment strategy. Combined with the ink replenishment strategy, the inkjet replenishment path and ink replenishment area are displayed in the 2D printing style. By displaying the ink filling area in different colors, marks or highlights, users can clearly see the impact and effect of ink filling during the printing process.

[0124] Preferably, step S41 includes the following steps:

[0125] Step S411: extracting the print style structure of the 2D print style based on the second fault warning data to obtain print style structure data, wherein the print style structure data includes two-dimensional plane structure data and three-dimensional structure data;

[0126] Step S412: confirming the warning timestamp of the second fault warning data, and performing style printing inkjet path simulation on the two-dimensional plane structure data according to the warning timestamp to generate style printing inkjet path simulation data;

[0127] Step S413: performing ink dot connectivity analysis on the style printing inkjet path simulation data to generate ink dot connectivity data; selecting abnormal printing areas for the 2D printing style through the three-dimensional structure data to obtain abnormal printing areas;

[0128] Step S414: selecting the center point of the abnormal printing area, and spatially connecting the center points of the area, thereby generating an abnormal inkjet breakpoint path.

[0129] In an embodiment of the present invention, by obtaining the second fault warning data, the data includes the predicted inkjet breakpoint timestamp, marking the time when the fault occurs. Obtain 2D printing style data, which includes detailed information such as the printed geometry, slice level, and printing path. Extract the two-dimensional plane structure information of each layer from the 2D printing style data, including the printing path, inkjet trajectory, printing area, etc. of each layer, and this data provides a basis for the printing trajectory of each layer. The two-dimensional structure data of each layer are integrated to obtain three-dimensional structure data, including the spatial position of all printed layers, the relationship between layers, and the spatial printing path. Extract the warning timestamp according to the second fault warning data, that is, the time point when the inkjet breakpoint is expected to occur. On the basis of the two-dimensional plane structure data, according to the indication of the warning timestamp, simulate the inkjet path at this moment in the printing process. The simulation process includes: determining the printing progress and time node, predicting the inkjet trajectory and path at this point based on the preset inkjet mode and printing path, and obtaining the location where the inkjet failure occurs at this moment through the simulation process. Based on the style printing inkjet path simulation data, the connectivity analysis of the ink dots of each inkjet path is performed. The analysis includes: checking whether each inkjet point has sufficient ink flow support, judging the connectivity between ink dots, finding breakpoints, areas of uneven inkjet or inkjet interruption, determining the spatial relationship between each ink dot, and identifying weak links in the inkjet path. Through three-dimensional structural data, the entire 2D printing style is analyzed in spatial area. Using the connectivity data of the inkjet path, identify abnormal printing areas that cause unstable inkjet during the printing process. These areas cause printing problems due to insufficient ink, nozzle clogging or other factors. For abnormal printing areas, select the center point of each area. The center point usually refers to the geometric center position within the area, which can represent the spatial distribution of the area. Methods for selecting center points include spatial geometry algorithms, such as the centroid method or the minimum circumscribed rectangle method. Connect the center points of the abnormal printing areas in spatial order. Spatial sequential connection is based on the topological structure of the inkjet path in the region, and uses a sequential connection algorithm (such as Delaunay triangulation, Voronoi diagram or other path optimization methods). This connection method ensures the continuity of the inkjet path from one region to another during the printing process, can predict the specific trajectory of the breakpoint, and generate an abnormal inkjet breakpoint path, indicating the inkjet breakpoint path caused by insufficient ink or nozzle failure during the printing process. This path can help further analyze the cause of the failure and formulate corresponding repair strategies.

[0130] Preferably, step S42 includes the following steps:

[0131] Step S421: performing inkjet breakpoint position coordinate conversion on the abnormal inkjet breakpoint path to obtain inkjet breakpoint coordinate data; performing local incremental supplement on the abnormal inkjet breakpoint path according to the inkjet breakpoint coordinate data to generate a breakpoint progressive repair strategy;

[0132] Step S422: performing adjacent breakpoint search on the inkjet breakpoint coordinate data to obtain adjacent breakpoint data; performing breakpoint connectivity repair on the inkjet breakpoint coordinate data based on the adjacent breakpoint data to generate a breakpoint connectivity repair strategy;

[0133] Step S423: extract the ink usage of the breakpoint progressive repair strategy and the breakpoint interconnection repair strategy to obtain the breakpoint progressive repair ink usage and the breakpoint interconnection repair ink usage; perform intelligent allocation of the spare ink content based on the breakpoint progressive repair ink usage and the breakpoint interconnection repair ink usage to generate flow control ink replenishment control data.

[0134] In an embodiment of the present invention, the position coordinates of the abnormal inkjet breakpoint path are converted from the relative coordinate system of the print style to the absolute coordinate system. The purpose of this conversion is to ensure the accurate positioning of the breakpoint and facilitate subsequent repair operations. The conversion method can use a standard coordinate transformation algorithm, for example: through the transformation relationship between the printer coordinate system and the physical coordinate system (such as obtained through calibration data), use interpolation or transformation matrix to perform position mapping. Based on the obtained inkjet breakpoint coordinate data, the breakpoint path is locally incrementally supplemented. The purpose of incremental supplementation is to gradually repair the inkjet breakpoint by finely controlling the inkjet path. The incremental supplementation strategy includes: incrementally filling the path before and after the breakpoint to make it continuous with the surrounding path to avoid large-scale inkjet interruption. A step-by-step repair method is used to gradually transition to the original inkjet path to ensure the smoothness and continuity of inkjet. Adjacent breakpoints are searched in the inkjet breakpoint coordinate data, that is, the areas close to each other between the inkjet breakpoints are identified. A spatial proximity algorithm, such as a KD tree or a Voronoi diagram, is used to determine the adjacent area of ​​each inkjet breakpoint. The spatial distance between each breakpoint is calculated, and the breakpoint is judged whether it belongs to an adjacent breakpoint based on the distance. Based on the adjacent breakpoint data, a repair algorithm is used to repair the connectivity of the inkjet breakpoint coordinate data: the optimal path is found to connect the adjacent breakpoints through an optimization algorithm or a path planning method (such as the Dijkstra algorithm, etc.). Ensure that the repaired path is continuous and smooth to avoid secondary breakpoints or ink interruptions. Based on the breakpoint progressive repair strategy and the breakpoint connectivity repair strategy, extract the amount of ink required in the repair process. The amount of ink can be calculated in the following way: the required amount of ink is calculated based on the incrementally supplemented path length, inkjet width and ink dot density. The amount of ink required to connect adjacent breakpoints also depends on factors such as path length and inkjet width. Combine the amount of ink used for the breakpoint progressive repair and the amount of ink used for the breakpoint connectivity repair, and use an intelligent allocation algorithm to allocate ink based on the spare ink content: the intelligent allocation algorithm can ensure the reasonable use of ink by optimizing the allocation model (such as genetic algorithm, particle swarm optimization, etc.) based on the predicted ink consumption and the actual spare ink situation. Dynamically adjust the allocation ratio according to the priority of the repair strategy, ink consumption and the remaining ink volume to avoid excessive ink waste.

[0135] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0136] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A remote network printer fault monitoring and management method, characterized in that: The following steps are involved: Step S1: Acquire remote printing demand data; confirm the 2D printing style of the remote printing demand data, and calculate the ink content required for the 2D printing style to obtain ink demand data; Step S2: obtaining the printing ink storage content through the ink monitoring sensor built into the remote network printer; performing ink shortage judgment on the ink storage content and the ink demand data, generating first fault warning data or spare ink content and continuously monitoring the print head status data of the remote network printer; Step S3: monitoring the print head status data using temperature, and using the temperature monitoring result to perform ink evaporation analysis on the printing ink storage content to generate ink evaporation data; Predicting the inkjet breakpoint of the print head status data by using the ink evaporation data to obtain second fault warning data; Step S4: Based on the second fault warning data, the 2D printing style is analyzed for abnormal inkjet breakpoint path to obtain the abnormal inkjet breakpoint path; the abnormal inkjet breakpoint path is finely controlled and ink replenishment strategy is executed through the spare ink content, thereby generating an inkjet abnormality repair report.

2. The fault monitoring and management method of a remote network printer according to claim 1, characterized in that: Step S1 includes the following steps: Divide the remote printing demand data into data modes to obtain the printing demand text mode and the printing demand image mode; According to the preset blank printing template, the printing requirement image modality is mapped to generate an initial printing template; Using the printing demand text modality, the remote printing demand data is subjected to printing part-of-speech semantic recognition to obtain printing keywords; the initial printing template is enhanced with the printing keywords to generate a printing enhancement template; The printing enhancement template is simulated in 2D display to obtain the 2D printing style of the remote printing demand data, and the printing ink content of the 2D printing style is calculated to obtain the ink demand data.

3. The fault monitoring and management method of a remote network printer according to claim 2, characterized in that: Calculation of printing ink content for 2D printing styles includes: Extracting geometric information of the 2D printing style, wherein the geometric information includes vertices, faces and volumes, and parsing the slice level of the 2D printing style to obtain printing layer slice data, wherein the printing layer slice data includes a cross-sectional profile and a filling method; Determine the fill area of ​​each layer in the print layer based on vertices, faces, volumes, and cross-sectional profiles, and calculate ink coverage area; The required ink volume of the filling area of ​​each layer in the printing layer is calculated by filling, and the ink coverage area and the required ink volume are integrated into the ink demand data.

4. The remote network printer fault monitoring and management method according to claim 1, characterized in that: The ink shortage judgment based on the ink storage content and ink demand data includes: Performing ink shortage judgment on the ink storage content and the ink demand data, and when the ink storage content is less than the ink demand data, issuing an ink shortage fault warning to the remote network printer, and generating first fault warning data; When the ink storage content is greater than or equal to the ink demand data, a difference calculation is performed between the ink storage content and the ink demand data to obtain the standby ink content; Retrieve printing device management data through the device management module built into the printer; Based on the spare ink content data, the printing device management data is screened for connected devices to obtain the print head data of the remote network printer; The device operation status of the print head data of the remote network printer is analyzed to generate the print head status data of the remote network printer.

5. The fault monitoring and management method of a remote network printer according to claim 1, characterized in that: Ink evaporation analysis of printed ink storage content using temperature monitoring results includes: The temperature monitoring result is used to construct a mathematical function of the ink evaporation rate for the printing ink storage content, and the mathematical function of the ink evaporation rate is obtained, wherein the mathematical function of the ink evaporation rate is as follows: E=k·(T-T0) n ; Where E is the ink evaporation rate, k is the evaporation coefficient, T is the ambient temperature, T0 is the reference temperature, and n is the temperature dependence index; The mathematical function of ink evaporation rate is used to model the time series relationship of the temperature monitoring results to generate evaporation time series relationship data. The formula for time series relationship modeling is as follows: M(t)=M0·e -k·t ; Where M(t) is the remaining mass of ink at time t, M0 is the initial mass of ink, k is the evaporation coefficient, and t is time; The inkjet continuity impact analysis of the print head status data is performed using the evaporation timing relationship data to generate the print head inkjet continuity data; the inkjet continuity data of the print head is used to perform ink evaporation analysis on the printing ink storage content to generate ink evaporation data.

6. The remote network printer fault monitoring and management method according to claim 1, characterized in that: The inkjet breakpoints predicted by ink evaporation data include: The print head status data is timestamped and confirmed by the ink evaporation data to obtain the print head ink ejection timestamp; Extract ink flow characteristics from the print head status data using the inkjet timestamp of the print head to obtain ink flow characteristic data; divide the ink flow characteristic data into data sets to generate a model training set and a model test set; The model training set is trained according to the long short-term memory neural network algorithm to generate an inkjet breakpoint timing prediction pre-model; the inkjet breakpoint timing prediction pre-model is optimized and iterated according to the model test set to generate an inkjet breakpoint timing prediction model; The ink evaporation data is imported into the inkjet breakpoint timing prediction model to perform inkjet breakpoint timing prediction, thereby generating an inkjet breakpoint prediction timestamp; based on the inkjet breakpoint prediction timestamp, an inkjet failure warning is performed on the remote network printer to generate second failure warning data.

7. The fault monitoring and management method of a remote network printer according to claim 1, characterized in that: Step S4 includes the following steps: Step S41: performing abnormal inkjet breakpoint path analysis on the 2D printing style based on the second fault warning data to obtain the abnormal inkjet breakpoint path; Step S42: executing a fine flow control and ink replenishment strategy on the abnormal inkjet breakpoint path according to the reserve ink content, thereby generating flow control and ink replenishment control data; Step S43: Perform breakpoint visual feedback on the 2D printing style based on the flow control ink replenishment control data, generate breakpoint visual feedback data, and visualize the flow control ink replenishment control data according to the breakpoint visual feedback data, thereby generating an inkjet abnormality repair report.

8. The remote network printer fault monitoring and management method according to claim 7, characterized in that: Step S41 includes the following steps: Step S411: extracting the print style structure of the 2D print style based on the second fault warning data to obtain print style structure data, wherein the print style structure data includes two-dimensional plane structure data and three-dimensional structure data; Step S412: confirming the warning timestamp of the second fault warning data, and performing style printing inkjet path simulation on the two-dimensional plane structure data according to the warning timestamp to generate style printing inkjet path simulation data; Step S413: performing ink dot connectivity analysis on the style printing inkjet path simulation data to generate ink dot connectivity data; selecting abnormal printing areas for the 2D printing style through the three-dimensional structure data to obtain abnormal printing areas; Step S414: selecting the center point of the abnormal printing area, and spatially connecting the center points of the area, thereby generating an abnormal inkjet breakpoint path.

9. The remote network printer fault monitoring and management method according to claim 7, characterized in that: Step S42 includes the following steps: Step S421: performing inkjet breakpoint position coordinate conversion on the abnormal inkjet breakpoint path to obtain inkjet breakpoint coordinate data; performing local incremental supplement on the abnormal inkjet breakpoint path according to the inkjet breakpoint coordinate data to generate a breakpoint progressive repair strategy; Step S422: performing adjacent breakpoint search on the inkjet breakpoint coordinate data to obtain adjacent breakpoint data; performing breakpoint connectivity repair on the inkjet breakpoint coordinate data based on the adjacent breakpoint data to generate a breakpoint connectivity repair strategy; Step S423: extract the ink usage of the breakpoint progressive repair strategy and the breakpoint interconnection repair strategy to obtain the breakpoint progressive repair ink usage and the breakpoint interconnection repair ink usage; perform intelligent allocation of the spare ink content based on the breakpoint progressive repair ink usage and the breakpoint interconnection repair ink usage to generate flow control ink replenishment control data.

10. A remote network printer fault monitoring and management system, characterized in that: The method for performing the fault monitoring and management method of a remote network printer according to claim 1, wherein the fault monitoring and management system of the remote network printer comprises: The demand analysis module is used to obtain remote printing demand data; confirm the 2D printing style of the remote printing demand data, and calculate the ink content required for the 2D printing style to obtain ink demand data; The first early warning module is used to obtain the printing ink storage content through the ink monitoring sensor built into the remote network printer; to perform ink shortage judgment on the ink storage content and the ink demand data, to generate the first fault early warning data or the spare ink content and to continuously monitor the print head status data of the remote network printer; The second early warning module is used to monitor the use temperature of the print head status data, and use the temperature monitoring result to perform ink evaporation analysis on the printing ink storage content to generate ink evaporation data; predict the inkjet breakpoint of the print head status data through the ink evaporation data to obtain the second fault early warning data; The fault repair module is used to analyze the abnormal inkjet breakpoint path of the 2D printing style based on the second fault warning data to obtain the abnormal inkjet breakpoint path; and to execute the fine flow control ink replenishment strategy on the abnormal inkjet breakpoint path through the spare ink content, so as to generate an inkjet abnormality repair report.

Images