Publication printing equipment inspection and maintenance management system based on the Internet of Things

Abstract

The present invention relates to the field of inspection, maintenance and management of publication printing equipment based on the Internet of Things, and is specifically a inspection, maintenance and management system for publication printing equipment based on the Internet of Things. The system is mainly composed of a user login module, a data collection module, a data analysis module, a maintenance management module, a remote monitoring module and an early warning processing module. The data collection module collects the operating parameters of the equipment in real time through various sensors installed at key parts of the printing equipment. When the operating parameters of the equipment exceed the preset threshold, the early warning processing module promptly sends out an early warning signal, and the maintenance management module generates a maintenance work order based on the diagnosis result, arranges maintenance personnel reasonably, and tracks and manages the maintenance progress throughout the process. This system can improve the operating efficiency of publication printing equipment and improve printing quality, and provide strong support for intelligent equipment management in the publication printing industry.

Description

Technical Field

[0001] The present invention relates to the field of publication printing equipment detection, maintenance and management based on the Internet of Things, and in particular to a publication printing equipment detection, maintenance and management system based on the Internet of Things. Background Art

[0002] The rise and popularization of Internet of Things technology, the Internet of Things enables various devices to be interconnected and realize intelligent perception, control and management. In the industrial field, the Internet of Things provides a basis for remote monitoring and control of equipment. Related technologies such as sensor technology, wireless communication technology, cloud computing and edge computing continue to develop and mature. The demand for digital transformation in the printing industry, with the intensification of market competition and the improvement of customer requirements for printing quality and delivery time, printing companies need to improve production efficiency and enhance the stability and reliability of equipment. Digital transformation has become an inevitable trend in the development of the printing industry, including the application of digital printing technology and the digital optimization of production management processes. The progress of data analysis and artificial intelligence technology Big data analysis technology can process massive amounts of equipment monitoring data and mine valuable information. Innovation in sensor technology High-precision, low-power and multi-parameter sensors continue to emerge, which can collect the operating status data of printing equipment more comprehensively and accurately. The cost of sensors is gradually reduced, making it possible to widely use them on printing equipment. The popularization of mobile Internet The widespread use of mobile devices such as smartphones and tablets provides maintenance personnel with convenient mobile terminals, which are convenient for obtaining equipment information and handling maintenance tasks anytime and anywhere.

[0003] The development and integration of technologies such as the Internet of Things, digital transformation, advanced manufacturing technology, data analysis, sensor innovation, mobile Internet and cloud computing have provided a solid technical background for the emergence and application of the Internet of Things-based publication printing equipment inspection and maintenance management system. Summary of the invention

[0004] In order to solve the technical problems raised by the above-mentioned background technology, the present invention provides a publication printing equipment detection and maintenance management system based on the Internet of Things.

[0005] The purpose of the present invention can be achieved through the following technical scheme: The present invention is a publication printing equipment detection and maintenance management system based on the Internet of Things, including a user login module, a data collection module, a data analysis module, an early warning processing module, a maintenance management module, a remote monitoring module and a data center.

[0006] The user login module grants corresponding operation permissions based on the staff's identity and role. The specific acquisition process is as follows:

[0007] The interface of the user login module is connected to the input end of the data center. Management leaders, maintenance personnel and equipment users fill in personal information into the user login module. The personal information includes job level, name and ID number. The user login module sends the personal information to the data center and stores it. The data center divides the levels based on the obtained personal information. Specifically, management leaders have full equipment management authority, maintenance personnel have maintenance management and upload maintenance information feedback authority for each printing equipment, and equipment users have production use functions for each printing equipment. The corresponding personal information set of each staff member is obtained and the information is fed back to the user login module.

[0008] The output end of the user login module is connected to the input end of the early warning processing module. The user login module collects facial images of staff members of various ranks through the camera of the mobile terminal and sends the facial images to the data center. When each staff member logs in to the corresponding equipment operation page through biometric facial information, the mobile terminal intercepts the facial information of the current camera, extracts the facial information of the data center and matches it with the current facial information. If the match is successful, the corresponding rank operation authority is obtained.

[0009] The user login module collects information such as the login time and IP address of the access record users. If any abnormal login user is found, an abnormal signal is generated and transmitted to the early warning processing module.

[0010] The data collection module is used to collect information about each printing device and each environment. The specific acquisition steps are as follows:

[0011] The temperature of each printing press cylinder is monitored for a specific time period by a temperature sensor, and the corresponding temperature parameter L1 of each printing press cylinder in each monitoring time period is obtained.

[0012] The pressure sensor monitors the printing pressure of each printing device in a moving state, and obtains the printing pressure parameters {y1, y2, y3, ..., yn} of each time period.

[0013] The external contour of each printing device is collected by a high-definition camera to obtain the external contour parameters of each printing device.

[0014] The humidity of each workshop environment is collected by a humidity sensor to obtain the humidity parameter G1 of each workshop environment.

[0015] The start time and end time of each printing device are collected through the monitoring terminal to obtain the time values ​​of the start time and end time of each printing device.

[0016] The output end of the data acquisition module is connected to the input end of the data analysis module, and the acquired temperature parameters, pressure parameters, and humidity parameters are sent to the data analysis module.

[0017] The data analysis module analyzes the collected parameter information of each printing device and environmental parameter information. The specific acquisition process is as follows:

[0018] The temperature parameters of each printing press roller in each monitoring time period are obtained, and the preset temperature parameters L2 corresponding to each printing device in the data center are extracted. The temperature parameters of each printing press roller in each monitoring time period are compared with the preset temperature parameters of each printing roller machine. If the temperature parameters of each printing press roller in each monitoring time period are lower than the preset temperature parameters of each printing roller machine, it means that the temperature is normal. Otherwise, it means that the temperature is higher than the normal temperature value. An abnormal signal is generated and sent to the early warning processing module.

[0019] Obtain the printing pressure value of each time period under the motion state of each printing device, obtain the maximum and minimum pressure values ​​of each time period, subtract the maximum value from the minimum value to obtain the pressure difference T, and then calculate the average of all pressure values ​​to obtain the average printing pressure U of each printing device TM , calculate the average value obtained The pressure fluctuation value P is obtained, and the pressure difference, average value and pressure fluctuation value are analyzed to obtain the pressure impact value. The pressure threshold of the data center is extracted and compared. If the pressure impact value is less than the pressure threshold, it means it is qualified. Otherwise, it means it is unqualified. A printing pressure increase signal is generated and sent to the early warning processing module.

[0020] The humidity parameters obtained by the data acquisition module are used to extract the standard humidity parameters of the data center, and the actual humidity parameters are compared with the standard humidity parameters. If the actual humidity parameters are greater than the standard humidity parameters, it means that the humidity in the workshop environment is relatively high, and an abnormal signal is generated and fed back to the early warning processing module. On the contrary, it means that the humidity in the workshop is qualified.

[0021] Obtain the time values ​​of the working time and the end time of each printing device, calculate the time difference between them to obtain the single working time of each printing device; sum up all the single working time of each printing device to obtain the total working time of each printing device and mark it as C1; normalize the obtained temperature parameters, humidity and total working time and take their values; use the formula The early warning value ɑ of each printing device is obtained, and d1, d2 and d3 are all preset proportional coefficients.

[0022] The warning processing module is used to receive the signal from the analysis module and trigger the corresponding processing measures according to the severity of the warning. The specific acquisition process is as follows:

[0023] The input end of the early warning processing module is connected to the output end of the analysis module, and receives the temperature parameters of each printing press roller in each monitoring time period of the analysis module. If the current monitoring period of each printing press roller is a normal temperature, it is marked as a normal temperature range. If the current monitoring period of each printing press roller is a low temperature state, a low temperature signal is generated and sent to the early warning processing module. The early warning processing module receives the signal and processes it, and sends a compensation signal to the printing press equipment to reduce the operating speed of the printing press and adjust it to 50%. If the current monitoring period of each printing press roller is a high temperature state, a high temperature signal is generated and sent to the early warning processing module. The early warning processing module sends a pause signal to shut down the movement state of each printing press equipment, and obtains the cooling air conditioner closest to the corresponding equipment to cool down each printing equipment.

[0024] The printing pressure increase signal sent by the receiving analysis module is monitored by the early warning processing module on the printing plates of each printing device through a high-definition camera, the image information of the current printing plate is intercepted, and the standard printing plate image set of the data center is extracted, and the image information of the current printing plate is matched with the standard printing plate image set. If they coincide, it is normal. If they do not coincide, a signal is sent to the maintenance management module. The maintenance management module obtains the on-duty maintenance personnel to replace the printing plate, and generates an adjustment signal by monitoring the current flatness and tension of the rubber cloth and sending it to the maintenance management module.

[0025] When an abnormal signal is received, the early warning processing module stops the current user's login, extracts the current user's historical login records, compares the historical abnormal login information, sends the abnormal login information to the user through the user's registered contact information, guides the user to re-set the account security settings, and monitors the login and operation activities of the account over a period of time.

[0026] Receive the abnormal signal sent by the early warning processing module. When the humidity in the workshop is greater than the standard humidity threshold, the early warning processing module transmits the signal to the mobile terminal of the maintenance personnel on duty, and the maintenance personnel place desiccant according to the humidity parameters of the workshop.

[0027] The maintenance management module is used by maintenance personnel to record equipment management and processing results. The specific acquisition process is as follows:

[0028] The output end of the early warning processing module is connected to the input end of the maintenance management module to receive the signal sent by the early warning processing module. The maintenance management module generates different maintenance work orders for different signals. According to the information of different maintenance work orders, the maintenance personnel on duty can view the details of the maintenance work order and the equipment failure information through the mobile terminal, repair the corresponding printing equipment, track the repair progress of the repaired printing equipment, and upload the repair progress to the data center through the maintenance management module for storage.

[0029] Then, the corresponding fixed maintenance is arranged according to the obtained warning values ​​of each printing equipment. The printing equipment with higher warning values ​​is repaired every two days, and the printing equipment with lower warning values ​​is repaired every five days.

[0030] The remote monitoring module is used by management leaders to monitor each printing device through the monitoring terminal and issue maintenance instructions to printing devices with problems. The specific acquisition process is as follows:

[0031] The output end of the user login module is connected to the input end of the remote monitoring module, and the remote monitoring output end is connected to the maintenance management input end. The management leader obtains the corresponding monitoring operation authority through the user login module, obtains the current motion image of each printing device in real time, and monitors each printing device according to the maintenance work order of the maintenance management module. When it is found that the motion status of the corresponding printing device still has problems, a maintenance instruction is issued to the maintenance management module. The maintenance module sends a signal to the mobile terminal of the maintenance staff on duty that day, and the maintenance staff will inspect the corresponding printing equipment.

[0032] When a fault occurs that the maintenance staff cannot diagnose, the remote monitoring module sharing function can be used to connect to remote experts for real-time diagnosis.

[0033] The data center is used to store the maintenance progress of each printing device, the preset parameter values ​​of each device, and the facial image collection of each level unit.

[0034] Compared with the prior art, the beneficial effects of the present invention are: Automatically generate maintenance reports and knowledge bases. After each maintenance is completed, the system automatically generates a detailed maintenance report, including fault description, maintenance measures, parts used and other information. These data are organized into a knowledge base to provide reference and reference for subsequent maintenance work. Parts life prediction and early warning are based on equipment operation data and parts usage, predicting the remaining life of parts, and issuing early warnings when the service life is approaching. It is convenient for enterprises to purchase and replace parts in advance to avoid production interruptions caused by sudden damage to parts.

[0035] Mobile application side develops easy-to-operate mobile applications, allowing maintenance personnel to receive maintenance tasks, view equipment information and upload maintenance records through mobile phones or tablets anytime and anywhere, improving the flexibility and responsiveness of maintenance work. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present invention.

[0037] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0038] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0039] See also Figure 1 As shown, the present invention is a publication printing equipment inspection and maintenance management system based on the Internet of Things, including a user login module, a data collection module, a data analysis module, an early warning processing module, a maintenance management module, a remote monitoring module and a data center.

[0040] The user login module grants corresponding operation permissions based on the staff's identity and role. The specific acquisition process is as follows:

[0041] The interface of the user login module is connected to the input end of the data center. Management leaders, maintenance personnel and equipment users fill in personal information into the user login module. The personal information includes job level, name, mobile phone number and ID number. The user login module sends the personal information to the data center and stores it. The data center divides the levels based on the obtained personal information. Specifically, management leaders have full equipment management authority, maintenance personnel have maintenance management and upload maintenance information feedback authority for each printing equipment, and equipment users have production use functions for each printing equipment. The corresponding personal information set of each staff member is obtained and the information is fed back to the user login module.

[0042] The output end of the user login module is connected to the input end of the early warning processing module. The user login module collects facial images of staff members of various ranks through the camera of the mobile terminal and sends the facial images to the data center. When each staff member logs in to the corresponding equipment operation page through biometric facial information, the mobile terminal intercepts the facial information of the current camera, extracts the facial information of the data center and matches it with the current facial information. If the match is successful, the corresponding rank operation authority is obtained.

[0043] The user login module collects information such as the login time and IP address of the access record users. If any abnormal login user is found, an abnormal signal is generated and transmitted to the early warning processing module.

[0044] The data collection module is used to collect information about each printing device and each environment. The specific acquisition steps are as follows:

[0045] The temperature of each printing press cylinder is monitored for a specific time period by a temperature sensor, and the corresponding temperature parameter L1 of each printing press cylinder in each monitoring time period is obtained.

[0046] The pressure sensor monitors the printing pressure of each printing device in a moving state, and obtains the printing pressure parameters {y1, y2, y3, ..., yn} of each time period.

[0047] The external contour of each printing device is collected by a high-definition camera to obtain the external contour parameters of each printing device.

[0048] The humidity of each workshop environment is collected by a humidity sensor to obtain the humidity parameter G1 of each workshop environment.

[0049] The start time and end time of each printing device are collected through the monitoring terminal to obtain the time values ​​of the start time and end time of each printing device.

[0050] The output end of the data acquisition module is connected to the input end of the data analysis module, and the acquired temperature parameters, pressure parameters, and humidity parameters are sent to the data analysis module.

[0051] The data analysis module analyzes the collected parameter information of each printing device and environmental parameter information. The specific acquisition process is as follows:

[0052] The temperature parameters of each printing press roller in each monitoring time period are obtained, and the preset temperature parameters L2 corresponding to each printing device in the data center are extracted. The temperature parameters of each printing press roller in each monitoring time period are compared with the preset temperature parameters of each printing roller machine. If the temperature parameters of each printing press roller in each monitoring time period are lower than the preset temperature parameters of each printing roller machine, it means that the temperature is normal. Otherwise, it means that the temperature is higher than the normal temperature value. An abnormal signal is generated and sent to the early warning processing module.

[0053] Obtain the printing pressure value of each time period under the motion state of each printing device, obtain the maximum and minimum pressure values ​​of each time period, subtract the maximum value from the minimum value to obtain the pressure difference T, and then calculate the average of all pressure values ​​to obtain the average printing pressure U of each printing device TM , calculate the average value obtained The pressure fluctuation value P is obtained, and the pressure difference, average value and pressure fluctuation value are analyzed to obtain the pressure impact value. The pressure threshold of the data center is extracted and compared. If the pressure impact value is less than the pressure threshold, it means it is qualified. Otherwise, it means it is unqualified. A printing pressure increase signal is generated and sent to the early warning processing module.

[0054] The humidity parameters obtained by the data acquisition module are used to extract the standard humidity parameters of the data center, and the actual humidity parameters are compared with the standard humidity parameters. If the actual humidity parameters are greater than the standard humidity parameters, it means that the humidity in the workshop environment is relatively high, and an abnormal signal is generated and fed back to the early warning processing module. On the contrary, it means that the humidity in the workshop is qualified.

[0055] Obtain the time values ​​of the working time and the end time of each printing device, calculate the time difference between them to obtain the single working time of each printing device; sum up all the single working time of each printing device to obtain the total working time of each printing device and mark it as C1; normalize the obtained temperature parameters, humidity and total working time and take their values; use the formula The early warning value ɑ of each printing device is obtained, and d1, d2 and d3 are all preset proportional coefficients.

[0056] The warning processing module is used to receive the signal from the analysis module and trigger the corresponding processing measures according to the severity of the warning. The specific acquisition process is as follows:

[0057] The input end of the early warning processing module is connected to the output end of the analysis module, and receives the temperature parameters of each printing press roller in each monitoring time period of the analysis module. If the current monitoring period of each printing press roller is a normal temperature, it is marked as a normal temperature range. If the current monitoring period of each printing press roller is a low temperature state, a low temperature signal is generated and sent to the early warning processing module. The early warning processing module receives the signal and processes it, and sends a compensation signal to the printing press equipment to reduce the operating speed of the printing press and adjust it to 50%. If the current monitoring period of each printing press roller is a high temperature state, a high temperature signal is generated and sent to the early warning processing module. The early warning processing module sends a pause signal to shut down the movement state of each printing press equipment, and obtains the cooling air conditioner closest to the corresponding equipment to cool down each printing equipment.

[0058] The printing pressure increase signal sent by the receiving analysis module is monitored by the early warning processing module on the printing plates of each printing device through a high-definition camera, the image information of the current printing plate is intercepted, and the standard printing plate image set of the data center is extracted, and the image information of the current printing plate is matched with the standard printing plate image set. If they coincide, it is normal. If they do not coincide, a signal is sent to the maintenance management module. The maintenance management module obtains the on-duty maintenance personnel to replace the printing plate, and generates an adjustment signal by monitoring the current flatness and tension of the rubber cloth and sending it to the maintenance management module.

[0059] When an abnormal signal is received, the early warning processing module stops the current user's login, extracts the current user's historical login records, compares the historical abnormal login information, sends the abnormal login information to the user through the user's registered contact information, guides the user to re-set the account security settings, and monitors the login and operation activities of the account over a period of time.

[0060] Receive the abnormal signal sent by the early warning processing module. When the humidity in the workshop is greater than the standard humidity threshold, the early warning processing module transmits the signal to the mobile terminal of the maintenance personnel on duty, and the maintenance personnel place desiccant according to the humidity parameters of the workshop.

[0061] The maintenance management module is used by maintenance personnel to record equipment management and processing results. The specific acquisition process is as follows:

[0062] The output end of the early warning processing module is connected to the input end of the maintenance management module to receive the signal sent by the early warning processing module. The maintenance management module generates different maintenance work orders for different signals. According to the information of different maintenance work orders, the maintenance personnel on duty can view the details of the maintenance work order and the equipment failure information through the mobile terminal, repair the corresponding printing equipment, track the repair progress of the repaired printing equipment, and upload the repair progress to the data center through the maintenance management module for storage.

[0063] Then, the corresponding fixed maintenance is arranged according to the obtained warning values ​​of each printing equipment. The printing equipment with higher warning values ​​is repaired every two days, and the printing equipment with lower warning values ​​is repaired every five days.

[0064] The remote monitoring module is used by management leaders to monitor each printing device through the monitoring terminal and issue maintenance instructions to printing devices with problems. The specific acquisition process is as follows:

[0065] The output end of the user login module is connected to the input end of the remote monitoring module, and the remote monitoring output end is connected to the maintenance management input end. The management leader obtains the corresponding monitoring operation authority through the user login module, obtains the current motion image of each printing device in real time, and monitors each printing device according to the maintenance work order of the maintenance management module. When it is found that the motion status of the corresponding printing device still has problems, a maintenance instruction is issued to the maintenance management module. The maintenance module sends a signal to the mobile terminal of the maintenance staff on duty that day, and the maintenance staff will inspect the corresponding printing equipment.

[0066] When a fault occurs that the maintenance staff cannot diagnose, the remote monitoring module sharing function can be used to connect to remote experts for real-time diagnosis.

[0067] The data center is used to store the maintenance progress of each printing device, the preset parameter value of each device and the facial image collection of each job level unit.

[0068] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. A publication printing equipment inspection and maintenance management system based on the Internet of Things, including a user login module, a data collection module, a data analysis module, a maintenance management module, a remote monitoring module and a data center, characterized in that: It also includes an early warning processing module; The early warning processing module is used to receive the signal of the analysis module and trigger the corresponding processing measures according to the severity of the early warning. The input end of the early warning processing module is connected to the output end of the analysis module, and receives the temperature parameters of each printing press roller in each monitoring time period of the analysis module. If the current monitoring period of each printing press roller is a normal temperature, it is marked as a normal temperature interval. If the current monitoring period of each printing press roller is a low temperature state, a low temperature signal is generated and sent to the early warning processing module. The early warning processing module receives the signal and processes it, and sends a compensation signal to the printing press equipment to reduce the running speed of the printing press and adjust it to half. If the current monitoring period of each printing press roller is a high temperature state, a high temperature signal is generated and sent to the early warning processing module. The early warning processing module sends a pause signal to shut down the movement state of each printing press equipment, and obtains the cooling air conditioner closest to the corresponding equipment to cool down each printing equipment. The printing pressure increase signal sent by the receiving analysis module is used. The early warning processing module monitors the printing plates of each printing device through a high-definition camera, intercepts the image information of the current printing plate, and extracts the standard printing plate image set of the data center. The image information of the current printing plate is matched with the standard printing plate image set. If they coincide, it is normal. If they do not coincide, a signal is sent to the maintenance management module. The maintenance management module obtains the maintenance personnel on duty to replace the printing plate, and generates an adjustment signal by monitoring the current flatness and tension of the rubber blanket and sending it to the maintenance management module. Receive the abnormal signal sent by the early warning processing module. When the humidity in the workshop is greater than the standard humidity threshold, the early warning processing module transmits the signal to the mobile terminal of the maintenance personnel on duty. The maintenance personnel place the desiccant according to the humidity parameters of the workshop; The data analysis module analyzes the collected parameter information of each printing device and environmental parameter information. The specific process is as follows: Obtain each temperature parameter of each printing press cylinder in each monitoring time period, extract the preset temperature parameter L2 corresponding to each printing device in the data center, compare each temperature parameter of each printing press cylinder in each monitoring time period with the preset temperature parameter of each printing cylinder machine, if each temperature parameter of each printing press cylinder in each monitoring time period is lower than the preset temperature parameter of each printing cylinder machine, it means that the temperature is normal, otherwise, it means that the temperature is higher than the normal temperature value, generate an abnormal signal and send it to the early warning processing module; Obtain the printing pressure values ​​of each printing device in each time period under the motion state, obtain the maximum and minimum pressure values ​​of each time period, subtract the maximum value from the minimum value to obtain the pressure difference T, then calculate the average value of all pressure values ​​to obtain the average printing pressure U™ of each printing device, and calculate the average value obtained Get the pressure fluctuation value P, analyze the pressure difference, average value and pressure fluctuation value to get the pressure impact value, extract the pressure threshold of the data center and compare them. If the pressure impact value is less than the pressure threshold, it means it is qualified. Otherwise, it means it is unqualified. Generate a printing pressure increase signal and send it to the early warning processing module. The humidity parameters obtained by the data acquisition module are extracted, and the standard humidity parameters of the data center are compared with the actual humidity parameters. If the actual humidity parameters are greater than the standard humidity parameters, it means that the humidity of the workshop environment is high, and an abnormal signal is generated and fed back to the early warning processing module. On the contrary, it means that the humidity of the workshop is qualified. Obtain the time values ​​of the working time and the ending time of each printing device, and calculate the time difference between them to obtain the single working time of each printing device; The total working time of each printing device is obtained by summing up all the single working time of each printing device and marked as C1; the obtained temperature parameters, humidity and total working time are normalized and their values ​​are taken; using the formula The early warning value ɑ of each printing device is obtained, and d1, d2 and d3 are all preset proportional coefficients.

2. According to claim 1, a publication printing equipment inspection and maintenance management system based on the Internet of Things is characterized in that: The user login module grants corresponding operation permissions based on the staff's identity and role. The specific process is as follows: The interface of the user login module is connected to the input end of the data center. Management leaders, maintenance personnel and equipment users fill in personal information in the user login module. The personal information includes the rank unit, name and ID number. The user login module sends the personal information to the data center and stores it. The data center divides the levels according to the obtained personal information. Specifically, management leaders have full equipment management authority, maintenance personnel have maintenance management and upload maintenance information feedback authority for each printing equipment, and equipment users have the use production function for each printing equipment. The corresponding personal information set of each staff member is obtained and the information is fed back to the user login module; The output end of the user login module is connected to the input end of the early warning processing module. The user login module collects facial images of staff members of various ranks through the mobile terminal camera and sends the facial images to the data center. When each staff member logs in to the corresponding device operation page through biological facial information, the mobile terminal intercepts the facial information of the current camera, extracts the facial information of the data center and matches it with the current facial information. If the match is successful, the corresponding rank operation authority is obtained. The user login module collects the login time and IP address information of the access record users. If any abnormal login users are found, an abnormal signal is generated and transmitted to the early warning processing module.

3. According to claim 1, a publication printing equipment inspection and maintenance management system based on the Internet of Things is characterized in that: The data collection module is used to collect information about each printing device and each environment. The specific steps are as follows: The temperature of each printing press cylinder is monitored for a specific time period by a temperature sensor, and a corresponding temperature parameter L1 of each printing press cylinder in each monitoring time period is obtained; The pressure sensor monitors the printing pressure of each printing device in motion, and obtains the printing pressure parameters {y1, y2, y3, ..., yn} of each time period; The external contour of each printing device is collected by a high-definition camera to obtain the external contour parameters of each printing device; The humidity of each workshop environment is collected through a humidity sensor to obtain the humidity parameter G1 of each workshop environment; The start and end times of each printing device are collected through the monitoring terminal to obtain the time values ​​of the start and end times of each printing device; The output end of the data acquisition module is connected to the input end of the data analysis module, and the acquired temperature parameters, pressure parameters, and humidity parameters are sent to the data analysis module.

4. According to claim 1, a publication printing equipment inspection and maintenance management system based on the Internet of Things is characterized in that: The maintenance management module is used by maintenance personnel to record equipment management and processing results. The specific process is as follows: The output end of the early warning processing module is connected to the input end of the maintenance management module to receive the signal sent by the early warning processing module. The maintenance management module generates different maintenance work orders for different signals. According to the information of different maintenance work orders, the maintenance personnel on duty can view the details of the maintenance work orders and the equipment failure information through the mobile terminal, repair the corresponding printing equipment, track the repair progress of the repaired printing equipment, and upload the repair progress to the data center through the maintenance management module for storage; Then, the corresponding fixed maintenance is arranged according to the obtained warning values ​​of each printing equipment. The printing equipment with higher warning values ​​is repaired every two days, and the printing equipment with lower warning values ​​is repaired every five days.

5. According to claim 1, a publication printing equipment inspection and maintenance management system based on the Internet of Things is characterized in that: The remote monitoring module is used by management leaders to monitor each printing device through the monitoring terminal and issue maintenance instructions to the printing devices with problems. The specific process is as follows: The output end of the user login module is connected to the input end of the remote monitoring module, and the remote monitoring output end is connected to the maintenance management input end. The management leader obtains the corresponding monitoring operation authority through the user login module, obtains the current motion image of each printing device in real time, and monitors each printing device according to the maintenance work order of the maintenance management module. When it is found that the motion status of the corresponding printing device still has problems, a maintenance instruction is issued to the maintenance management module. The maintenance module sends a signal to the mobile terminal of the maintenance staff on duty that day, and the maintenance staff will inspect the corresponding printing equipment.

Images