System for large and heavy nine-special-line intelligent manufacturing electromechanical situation awareness process

Abstract

The invention discloses a system for a large and heavy nine-special-line intelligent manufacturing electromechanical situation awareness process, and the system comprises an automatic data acquisition module, and the output end of the automatic data acquisition module is connected with the input end of an automatic data processing module; the output end of the automatic data processing module is connected with the input end of the transfer database; the output end of the transfer database is connected with the input end of the data automatic comparison module; the output end of the data automatic comparison module is connected with the input end of the data automatic feedback module; the output end of the data automatic feedback module is connected with the input end of the data terminal; and the data terminal is used for receiving the data of the data automatic feedback module. According to the method, more multi-dimensional data can be acquired through a more comprehensive data automatic acquisition module, more theoretical support data is provided for subsequent abnormal state analysis, and the accuracy of an analysis result is ensured.

Description

Technical Field

[0001] The present invention relates to a perception process system, specifically a system for intelligent manufacturing electromechanical situation perception process of the Great Chung Nine special line, belonging to the technical field of on-line condition monitoring. Background Art

[0002] On-line condition monitoring refers to the real-time monitoring of the state of equipment or systems during operation through sensors, data acquisition systems and other means, timely detecting abnormalities and taking corresponding measures to ensure the safe and stable operation of the equipment or system. Cigarette making and silk reeling equipment runs on motors, and the motors may be damaged during long-term operation, affecting the quality of the silk reeling process and production efficiency, resulting in material waste. Therefore, an on-line monitoring system is also needed for monitoring the state of cigarette making and silk reeling equipment.

[0003] Currently, the Chinese invention patent with the publication number of CN112379624A discloses an on-line monitoring experimental system for the operation state of electromechanical equipment, including a controller, a fan, a data acquisition device and an equipment power switch installed on the electromechanical equipment; the controller is electrically connected to the fan for controlling the start and stop of the fan to realize ventilation, dehumidification and heat dissipation inside the electromechanical equipment; the controller is electrically connected to the data acquisition device for on-line collection and monitoring of the operation state data of the electromechanical equipment; the controller is electrically connected to the equipment power switch for controlling the opening and closing of the equipment power switch; the controller is wirelessly connected to a Web server, and both the mobile terminal and the computer are wirelessly connected to the Web server for remote wireless monitoring and remote control operation. Through the real-time monitoring of the equipment operation state and the real-time transmission of data, this system enables the staff to monitor the equipment operation state in real time to ensure the normal operation of the equipment. Although the current electromechanical equipment monitoring system can complete the monitoring of electromechanical equipment, there is no comprehensive data automatic acquisition module in the system, so more multi-dimensional data cannot be obtained. When analyzing abnormal states subsequently, more theoretical support data cannot be provided, resulting in the inability to guarantee the accuracy of the analysis results. At the same time, when an abnormal state is detected in the system, an abnormal handling opinion cannot be generated quickly according to the abnormal state, resulting in the inability to solve the problem quickly, and the actual application effect of the system is not good.

[0004] Therefore, the key to solving the above technical problems is to develop a more comprehensive and accurate data result analysis system for the intelligent manufacturing electromechanical situation perception process of the Great Chung Nine special line. Summary of the Invention

[0005] In view of the many defects and deficiencies in the above background art, the present invention has made improvements and innovations. The purpose is to provide a system that can obtain more multi-dimensional data through a more comprehensive data automatic acquisition module, providing more theoretical support data for subsequent abnormal state analysis and ensuring the accuracy of the analysis results.

[0006] Another object of the present invention is to be able to quickly make correct responses and handling according to the abnormal state when an abnormal state is detected, and automatically generate corresponding handling suggestions or solutions.

[0007] To solve the above problems and achieve the above object of the invention, the system for intelligent manufacturing electromechanical situation awareness process of the Great Nine Special Line of the present invention is realized by adopting the following design structure and the following technical solutions:

[0008] The system for intelligent manufacturing electromechanical situation awareness process of the Great Nine Special Line is characterized by comprising:

[0009] An automatic data acquisition module (1), the output end of the automatic data acquisition module (1) is connected to the input end of the automatic data processing module (2);

[0010] An automatic data processing module (2), the output end of the automatic data processing module (2) is connected to the input end of the transfer database (3);

[0011] The transfer database (3), the output end of the transfer database (3) is connected to the input end of the automatic data comparison module (4);

[0012] The automatic data comparison module (4), the output end of the automatic data comparison module (4) is connected to the input end of the automatic data feedback module (5);

[0013] The automatic data feedback module (5), the output end of the automatic data feedback module (5) is connected to the input end of the data terminal (6);

[0014] The data terminal (6) is used to receive the data of the automatic data feedback module (5);

[0015] Wherein, the input end of the transfer database (3) is further connected to the electromechanical equipment status monitoring module (7), and the input end of the automatic data comparison module (4) is further connected to the standard data import module (8).

[0016] Preferably, it further includes a monitoring machine (9), and the monitoring machine (9) is respectively connected to the automatic data acquisition module (1), the automatic data processing module (2), the transfer database (3), the automatic data comparison module (4), the automatic data feedback module (5), the data terminal (6), the electromechanical equipment status monitoring module (7) and the standard data import module (8).

[0017] In the present invention, the monitoring machine (9) plays a role in connecting each module, and plays a key role in data acquisition, processing and transmission in the whole system.

[0018] Preferably, the automatic data acquisition module (1) includes:

[0019] Device parameter acquisition module (11), the output end of the device parameter acquisition module (11) is connected to the input end of the device quantity acquisition module (12);

[0020] Device quantity acquisition module (12), the output end of the device quantity acquisition module (12) is connected to the input end of the device historical application information acquisition module (13);

[0021] Device historical application information acquisition module (13), the output end of the device historical application information acquisition module (13) is connected to the input end of the device historical fault information acquisition module (14);

[0022] Device historical fault information acquisition module (14), the output end of the device historical fault information acquisition module (14) is connected to the input end of the circuit information acquisition module (15);

[0023] Circuit information acquisition module (15), the circuit information acquisition module (15) is used to monitor the circuit state in real time, diagnose faults, collect data and analyze it to ensure the normal operation and performance optimization of the circuit.

[0024] Preferably, the data automatic processing module (2) includes:

[0025] Data automatic inspection module (21), the output end of the data automatic inspection module (21) is connected to the input end of the error data automatic marking module (22);

[0026] Error data automatic marking module (22), the output end of the error data automatic marking module (22) is connected to the input end of the error data deletion module (23);

[0027] Error data deletion module (23), the output end of the error data deletion module (23) is connected to the input end of the deleted data filling module (24);

[0028] Deleted data filling module (24), the output end of the deleted data filling module (24) is connected to the input end of the data re-integration module (25);

[0029] Data re-integration module (25), the output end of the data re-integration module (25) is connected to the input end of the data automatic classification module (26);

[0030] Data automatic classification module (26), the data automatic classification module (26) is used for data sorting, confidence retrieval and archiving, intelligent analysis, and automated decision-making of the acquired data.

[0031] Preferably, the data automatic comparison module (4) includes:

[0032] Data automatic grouping module (41), the output end of the data automatic grouping module (41) is connected to the input end of the data automatic numbering module (42);

[0033] Data automatic numbering module (42), the output end of the data automatic numbering module (42) is connected to the input end of the data one-by-one comparison module (43);

[0034] Data one-by-one comparison module (43), the output end of the data one-by-one comparison module (43) is connected to the input end of the abnormal data extraction module (44);

[0035] Abnormal data extraction module (44), the output end of the abnormal data extraction module (44) is connected to the input end of the abnormal information automatic generation module (45);

[0036] Abnormal information automatic generation module (45), the output end of the abnormal information automatic generation module (45) is connected to the input end of the abnormal situation handling opinion generation module (46);

[0037] Abnormal situation handling opinion generation module (46), which is used to quickly make correct responses and handling to system abnormal situations and automatically generate corresponding handling suggestions or solutions.

[0038] Preferably, the number of groups of the data automatic grouping module (41) is 10 - 12 groups;

[0039] The data automatic numbering module (42) adopts one of digital numbering and letter numbering.

[0040] Preferably, the electrical equipment vibration monitoring module (7) includes:

[0041] Electromechanical equipment electrical signal monitoring module (71), the output end of the electromechanical equipment electrical signal monitoring module (71) is connected to the input end of the electromechanical equipment working state monitoring module (72);

[0042] Electromechanical equipment working state monitoring module (72), the output end of the electromechanical equipment working state monitoring module (72) is connected to the input end of the electromechanical equipment vibration monitoring module (73);

[0043] Electromechanical equipment vibration monitoring module (73), the output end of the electromechanical equipment vibration monitoring module (73) is connected to the input end of the electromechanical equipment temperature monitoring module (74);

[0044] Electromechanical equipment temperature monitoring module (74), the output end of the electromechanical equipment temperature monitoring module (74) is connected to the input end of the electromechanical equipment energy consumption monitoring module (75);

[0045] The electromechanical equipment energy consumption monitoring module (75), the output end of the electromechanical equipment energy consumption monitoring module (75) is connected to the input end of the electromechanical equipment power monitoring module (76);

[0046] The electromechanical equipment power monitoring module (76), the electromechanical equipment power monitoring module (76) is used to implement energy consumption management, equipment performance evaluation, preventive maintenance, safety monitoring and data analysis.

[0047] In the present invention, the electromechanical equipment power monitoring module (76) is used to implement functions such as energy consumption management, equipment performance evaluation, preventive maintenance, safety monitoring and data analysis, so as to improve the reliability, safety and economy of the equipment.

[0048] Preferably, the transfer database (3) is used for temporary storage, data conversion and data exchange;

[0049] The data automatic feedback module (5) is used for automatic data analysis and report generation, by receiving the data of the abnormal situation handling opinion generation module (46), analyzing the data, and generating corresponding feedback information or reports.

[0050] Preferably, the data terminal (6) is one or more of a mobile phone and a computer;

[0051] The standard data import module (8) is used to import external data into the system, provide support for subsequent business processes and data analysis, and realize the rapid entry and utilization of data.

[0052] Preferably, a plurality of heat dissipation side holes (91) are provided on the outer wall of one side of the monitor (9), a wiring row (92) is fixedly installed on the outer wall at the rear of the monitor (9), a plurality of wiring ports are provided on the wiring row (92), a data line (93) is connected to the wiring port, wherein, a top groove is provided on the top surface of the monitor (9), and a handle belt (94) is provided in the top groove.

[0053] In the present invention, the multiple wiring ports of the monitor (9) have two types of specifications.

[0054] The beneficial effects of the present invention compared with the prior art are:

[0055] 1. By setting a more comprehensive data automatic acquisition module, the present invention can obtain more multi-dimensional data, and when analyzing the abnormal state subsequently, it can effectively provide more theoretical support data, so as to effectively improve the accuracy of the abnormal state analysis result;

[0056] 2. The present invention is provided with an automatic data comparison module, which can quickly compare various monitored data to extract abnormal data. At the same time, it automatically generates abnormal reminder information and handling opinions for abnormal situations, and after merging through the automatic data feedback module, it is fed back into the data terminal, enabling the data terminal to quickly obtain information and materials, so as to quickly generate handling opinions for abnormal situations according to the abnormal state, achieving rapid problem-solving and greatly improving the practical application of the system.

[0057] 3. The circuit information acquisition module (15) provided by the present invention can monitor the circuit state in real time, diagnose faults, collect data and analyze it to ensure the normal operation and performance optimization of the circuit.

[0058] 4. The automatic data classification module (26) provided by the present invention can perform data sorting, information retrieval and archiving, intelligent analysis, and automated decision-making on the acquired data.

[0059] 5. The abnormal situation handling opinion generation module (46) provided by the present invention can quickly make correct responses and handling to system abnormal situations and automatically generate corresponding handling suggestions or solutions.

[0060] 6. The electromechanical equipment power monitoring module (76) provided by the present invention can realize functions such as energy consumption management, equipment performance evaluation, preventive maintenance, safety monitoring, and data analysis, thereby improving the reliability, safety, and economy of the equipment.

[0061] 7. The standard data import module (8) provided by the present invention can conveniently import external data into the system, provide support for subsequent business processes and data analysis, and realize the rapid entry and utilization of data.

[0062] 8. The monitor (9) provided by the present invention is responsible for receiving data from each module and transmitting it to the transfer database (3) to realize the centralized storage and management of data. At the same time, the monitor (9) can obtain the processed data from the transfer database (3) and feed it back to the data terminal (6) for users to monitor the equipment state and handle abnormal situations in real time.

[0063] 9. The monitor (9) in the present invention can also realize data acquisition, transmission and feedback, thereby realizing real-time monitoring and abnormal handling of the equipment state, further improving the data acquisition efficiency and accuracy, ensuring the timeliness and accuracy of data, realizing centralized management and unified processing of data, facilitating users to view and analyze the equipment state, quickly identifying and handling abnormal situations, and improving the stability and reliability of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] The following further details the specific embodiments of the present invention in conjunction with the drawings, wherein:

[0065] Figure 1 is a schematic diagram of the connection relationships of the modules of the present invention;

[0066] Figure 2 is a schematic diagram of the connection relationships of the sub - modules of the automatic data acquisition module (1) of the present invention;

[0067] Figure 3 is a schematic diagram of the connection relationships of the sub - modules of the automatic data processing module (2) of the present invention;

[0068] Figure 4 is a schematic diagram of the connection relationships of the sub - modules of the automatic data comparison module (4) of the present invention;

[0069] Figure 5 is a schematic diagram of the connection relationships of the sub - modules of the electromechanical equipment status monitoring module (7) of the present invention;

[0070] Figure 6 is a schematic diagram of the structure of the components of the monitoring machine (9) of the present invention;

[0071] Among them, the reference numerals in the figure: 1 - automatic data acquisition module, 11 - equipment parameter acquisition module, 12 - equipment quantity acquisition module, 13 - equipment historical application information acquisition module, 14 - equipment historical fault information acquisition module, 15 - circuit information acquisition module;

[0072] 2 - automatic data processing module, 21 - automatic data inspection module, 22 - automatic error data marking module, 23 - error data deletion module, 24 - deleted data leakage filling module, 25 - data re - integration module, 26 - automatic data classification module;

[0073] 3 - transfer database;

[0074] 4 - automatic data comparison module, 41 - automatic data grouping module, 42 - automatic data numbering module, 43 - one - by - one data comparison module, 44 - abnormal data extraction module, 45 - automatic abnormal information generation module, 46 - abnormal situation handling opinion generation module;

[0075] 5 - automatic data feedback module;

[0076] 6 - data terminal;

[0077] 7 - electromechanical equipment status monitoring module, 71 - electromechanical equipment electrical signal monitoring module, 72 - electromechanical equipment working status monitoring module, 73 - electromechanical equipment vibration monitoring module, 74 - electromechanical equipment temperature monitoring module, 75 - electromechanical equipment energy consumption monitoring module, 76 - electromechanical equipment power monitoring module;

[0078] 8 - standard data import module;

[0079] 9 - Monitoring machine, 91 - Heat dissipation side hole, 92 - Wiring terminal block, 93 - Data line, 94 - Handle strap. Detailed implementation manner

[0080] In order to make the technical means, creative features, achieved purposes and effects realized by the present invention easy to understand, the technical solutions of the present invention will be further described in more detail below in conjunction with the accompanying drawings and specific implementation manners. It should be noted that, without conflict, the embodiments in this application and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the drawings and embodiments.

[0081] In summary, a more specific implementation manner of the present invention is:

[0082] Embodiment 1

[0083] As shown in the attached Figures 1 to 6 As shown in the figure, the intelligent manufacturing electromechanical situation awareness process system for the Great Chung Chi special line includes a data automatic acquisition module 1, a data automatic processing module 2, an electromechanical equipment status monitoring module 7 and a monitoring machine 9. The output end of the data automatic acquisition module 1 is connected to the input end of the data automatic processing module 2. The output ends of the data automatic processing module 2 and the electromechanical equipment status monitoring module 7 are both connected to the input end of the transfer database 3. The output ends of the transfer database 3 and the standard data import module 8 are both connected to the input end of the data automatic comparison module 4. The output end of the data automatic comparison module 4 is connected to the input end of the data automatic feedback module 5. The output end of the data automatic feedback module 5 is connected to the input end of the data terminal 6, and the data terminal 6 is a mobile phone.

[0084] The data automatic acquisition module 1 includes an equipment parameter acquisition module 11 and an equipment quantity acquisition module 12. The output end of the equipment parameter acquisition module 11 is connected to the input end of the equipment quantity acquisition module 12. The output end of the equipment quantity acquisition module 12 is connected to the input end of the equipment historical application information acquisition module 13. The output end of the equipment historical application information acquisition module 13 is connected to the input end of the equipment historical fault information acquisition module 14. The output end of the equipment historical fault information acquisition module 14 is connected to the input end of the circuit information acquisition module 15.

[0085] The data automatic processing module 2 includes a data automatic inspection module 21 and an error data automatic marking module 22. The output end of the data automatic inspection module 21 is connected to the input end of the error data automatic marking module 22. The output end of the error data automatic marking module 22 is connected to the input end of the error data deletion module 23. The output end of the error data deletion module 23 is connected to the input end of the deleted data filling module 24. The output end of the deleted data filling module 24 is connected to the input end of the data re-integration module 25. The output end of the data re-integration module 25 is connected to the input end of the data automatic classification module 26.

[0086] The electromechanical equipment status monitoring module 7 includes an electromechanical equipment electrical signal monitoring module 71 and an electromechanical equipment working status monitoring module 72. The output end of the electromechanical equipment electrical signal monitoring module 71 is connected to the input end of the electromechanical equipment working status monitoring module 72. The output end of the electromechanical equipment working status monitoring module 72 is connected to the input end of the electromechanical equipment vibration monitoring module 73. The output end of the electromechanical equipment vibration monitoring module 73 is connected to the input end of the electromechanical equipment temperature monitoring module 74. The output end of the electromechanical equipment temperature monitoring module 74 is connected to the input end of the electromechanical equipment energy consumption monitoring module 75. The output end of the electromechanical equipment energy consumption monitoring module 75 is connected to the input end of the electromechanical equipment power monitoring module 76.

[0087] The data automatic comparison module 4 includes a data automatic grouping module 41. The output end of the data automatic grouping module 41 is connected to the input end of the data automatic numbering module 42. The output end of the data automatic numbering module 42 is connected to the input end of the data-by-data comparison module 43. The output end of the data-by-data comparison module 43 is connected to the input end of the abnormal data extraction module 44. The number of groups divided by the data automatic grouping module 41 is 10 groups. The data automatic numbering module 42 uses digital numbering. The output end of the abnormal data extraction module 44 is connected to the input end of the abnormal information automatic generation module 45. The output end of the abnormal information automatic generation module 45 is connected to the input end of the abnormal situation handling opinion generation module 46.

[0088] A plurality of heat dissipation side holes 91 are provided on one outer wall of the monitor 9. A wiring row 92 is fixedly installed on the rear outer wall of the monitor 9. A plurality of wiring ports are provided on the wiring row 92. The plurality of wiring ports have two types of specifications. A data line 93 is provided on the wiring port. A top groove is provided on the top surface of the monitor 9, and a handle belt 94 is provided in the top groove.

[0089] In this embodiment, by setting up a more comprehensive data automatic acquisition module inside, more multi-dimensional data can be acquired. When analyzing the abnormal state subsequently, more theoretical support data can be effectively provided, thereby effectively improving the accuracy of the abnormal state analysis result.

[0090] Embodiment 2

[0091] As shown in the attached drawings of the specification Figures 1 to 6 The intelligent manufacturing electromechanical situation awareness process system for the Great Chungchi special line includes a data automatic acquisition module 1, a data automatic processing module 2, an electromechanical equipment status monitoring module 7, and a monitoring machine 9. The output end of the data automatic acquisition module 1 is connected to the input end of the data automatic processing module 2. The output ends of the data automatic processing module 2 and the electromechanical equipment status monitoring module 7 are both connected to the input end of the transfer database 3. The output ends of the transfer database 3 and the standard data import module 8 are both connected to the input end of the data automatic comparison module 4. The output end of the data automatic comparison module 4 is connected to the input end of the data automatic feedback module 5. The output end of the data automatic feedback module 5 is connected to the input end of the data terminal 6, and the data terminal 6 is a computer.

[0092] The data automatic acquisition module 1 includes an equipment parameter acquisition module 11 and an equipment quantity acquisition module 12. The output end of the equipment parameter acquisition module 11 is connected to the input end of the equipment quantity acquisition module 12. The output end of the equipment quantity acquisition module 12 is connected to the input end of the equipment historical application information acquisition module 13. The output end of the equipment historical application information acquisition module 13 is connected to the input end of the equipment historical fault information acquisition module 14. The output end of the equipment historical fault information acquisition module 14 is connected to the input end of the circuit information acquisition module 15.

[0093] The data automatic processing module 2 includes a data automatic inspection module 21 and an error data automatic marking module 22. The output end of the data automatic inspection module 21 is connected to the input end of the error data automatic marking module 22. The output end of the error data automatic marking module 22 is connected to the input end of the error data deletion module 23. The output end of the error data deletion module 23 is connected to the input end of the deleted data leak filling module 24. The output end of the deleted data leak filling module 24 is connected to the input end of the data re-integration module 25. The output end of the data re-integration module 25 is connected to the input end of the data automatic classification module 26.

[0094] The electromechanical equipment status monitoring module 7 includes an electromechanical equipment electrical signal monitoring module 71 and an electromechanical equipment working status monitoring module 72. The output end of the electromechanical equipment electrical signal monitoring module 71 is connected to the input end of the electromechanical equipment working status monitoring module 72. The output end of the electromechanical equipment working status monitoring module 72 is connected to the input end of the electromechanical equipment vibration monitoring module 73. The output end of the electromechanical equipment vibration monitoring module 73 is connected to the input end of the electromechanical equipment temperature monitoring module 74. The output end of the electromechanical equipment temperature monitoring module 74 is connected to the input end of the electromechanical equipment energy consumption monitoring module 75. The output end of the electromechanical equipment energy consumption monitoring module 75 is connected to the input end of the electromechanical equipment power monitoring module 76.

[0095] The data automatic comparison module 4 includes a data automatic grouping module 41. The output end of the data automatic grouping module 41 is connected to the input end of the data automatic numbering module 42. The output end of the data automatic numbering module 42 is connected to the input end of the data one-by-one comparison module 43. The output end of the data one-by-one comparison module 43 is connected to the input end of the abnormal data extraction module 44. The number of groups of the data automatic grouping module 41 is 12 groups. The data automatic numbering module 42 uses letter numbering. The output end of the abnormal data extraction module 44 is connected to the input end of the abnormal information automatic generation module 45. The output end of the abnormal information automatic generation module 45 is connected to the input end of the abnormal situation handling opinion generation module 46.

[0096] A plurality of heat dissipation side holes 91 are provided on one outer wall of the monitor 9. A wiring row 92 is fixedly installed on the rear outer wall of the monitor 9. A plurality of wiring ports are provided on the wiring row 92. The plurality of wiring ports have two types of specifications. A data line 93 is provided on the wiring port. A top groove is provided on the top surface of the monitor 9, and a handle belt 94 is provided in the top groove.

[0097] In this embodiment, the system is internally provided with a data automatic comparison module, which can quickly compare various monitored data, thereby extracting abnormal data. At the same time, abnormal reminder information and abnormal situation handling opinions are automatically generated according to the abnormal data and merged and fed back into the receiving terminal, enabling the terminal to quickly obtain information and materials, and thus quickly generating abnormal situation handling opinions according to the abnormal state, so that the problem can be quickly solved, greatly improving the practical application of the system.

[0098] Embodiment 3

[0099] Assume that the present invention is applied to a production line of a factory to monitor the operating status of production equipment and handle abnormal situations in a timely manner.

[0100] 1. The data automatic acquisition module 1 automatically collects the parameters, quantity, and historical information of the device, providing data support for subsequent analysis;

[0101] 2. The data automatic processing module 2 conducts inspections, markings, and integrations on the data collected by the data automatic acquisition module 1, identifies and processes error data, ensuring the quality and usability of the data;

[0102] 3. The electromechanical equipment status monitoring module 7 monitors parameters such as the electrical signals, working status, vibration, temperature, energy consumption, and power of the monitored equipment, and reflects them in real time to the transfer database 3;

[0103] 4. The transfer database 3 receives data from the data automatic processing module 2 and the electromechanical equipment status monitoring module 7;

[0104] 5. The data automatic comparison module 4 receives data from the transfer database 3 and the standard data import module 8, and compares various types of monitored data. If abnormal data appears, it will automatically extract the abnormal data and generate abnormal reminder information and handling opinions; among them, the standard data import module 8 is used to import external data into the system, providing support for subsequent business processes and data analysis, and realizing the rapid input and utilization of data;

[0105] 6. The data automatic feedback module 5 receives data from the data automatic comparison module 4 and sends the data to the data terminal 6;

[0106] 7. The monitoring machine 9 is connected to each module, and realizes data acquisition, transmission, and feedback, as well as real-time monitoring and abnormal handling of the equipment status.

[0107] During the use of the above embodiments, 1. The data processing efficiency and accuracy are improved. Through automated data acquisition, processing, and comparison, the data processing efficiency and accuracy are greatly improved; 2. The real-time monitoring and abnormal handling of the equipment status are realized. The monitoring machine 9, as the center connecting each module, realizes the real-time monitoring and abnormal handling of the equipment status, improving the stability and reliability of the equipment; 3. The actual application effect of the system is improved. Through the connection and function of the monitoring machine 9, users can obtain equipment status information in a timely manner and perform corresponding processing, greatly improving the actual application effect of the system and the user experience.

[0108] Embodiment 4

[0109] Suppose the present invention is applied to the tobacco system of Kunming Cigarette Factory, and some specific data are provided to simulate this scenario.

[0110] 1. The data automatic acquisition module 1:

[0111] Data collected by the equipment parameter acquisition module: motor speed, temperature, current, voltage, etc.;

[0112] Data collected by the equipment quantity acquisition module: the number of motors on the production line, equipment models, installation dates, etc.;

[0113] Data collected by the equipment historical application information acquisition module: the production cycle of the equipment, maintenance records, fault history, etc.

[0114] 2. Electromechanical equipment status monitoring module 7:

[0115] Data collected by the electrical signal monitoring module: the on / off status of the motor, the operating frequency of the motor;

[0116] Data collected by the working status monitoring module: the operating time of the equipment, the production quantity, the number of abnormal shutdowns;

[0117] Data collected by the temperature monitoring module: the temperature change of each part of the equipment;

[0118] Data collected by the energy consumption monitoring module: the energy consumption of the equipment, such as electricity consumption, power consumption, etc.

[0119] 3. Data automatic comparison module 4:

[0120] The data automatic comparison module compares the motor operation data in different time periods, such as speed changes, temperature fluctuations, etc., and extracts abnormal data.

[0121] 4. Monitoring machine 9:

[0122] The monitoring machine is connected to each module, responsible for collecting, processing and transmitting data, and feeding back abnormal situations to the data terminal.

[0123] 5. Specific data examples:

[0124] The speed of motor A is 1500 revolutions per minute, the temperature is 50 degrees Celsius, the current is 20 amperes, and the voltage is 220 volts;

[0125] There are 10 motors on the production line, with the model ABC and the installation date of May 2023;

[0126] The production cycle of the equipment is 24 hours, and the maintenance record shows that the last maintenance was one month ago;

[0127] The operating time of motor B today is 8 hours, the production quantity is 1000 cases, and there is no abnormal shutdown record;

[0128] The temperature of motor C has exceeded the set threshold, triggering an abnormal alarm;

[0129] The total energy consumption of the equipment today is 500 kWh, and the average power consumption is 50 kW.

[0130] The above data is for simulation reference only, and the actual situation may vary according to factors such as equipment type and production scale.

[0131] The functions and effects of the monitoring machine 9 in the above implementation:

[0132] 1. Data collection and transmission: The monitoring machine is responsible for connecting to each module, collecting in real time the data obtained from various sensors and data collection devices, including equipment parameters, status information, etc., and transmitting this data to the data processing module for further processing;

[0133] 2. Abnormality monitoring and handling: The monitoring machine, through its connection to each module, monitors the running status of the equipment in real time. Once abnormal situations such as too high temperature or abnormal current are detected, it immediately triggers an alarm and transmits the abnormal information to the data processing module for handling;

[0134] 3. Data processing and analysis: The monitoring machine transmits the collected data to the data processing module for data analysis, comparison and processing, identifies abnormal situations and generates abnormal handling opinions, providing timely and effective guidance and handling suggestions for the staff;

[0135] 4. Remote monitoring and operation: Through the wireless connection with the Web server, the monitoring machine realizes the functions of remote wireless monitoring and remote control operation. The staff can remotely monitor the running status of the equipment through the mobile phone or computer, handle abnormal situations in a timely manner, improving the management efficiency and production efficiency of the equipment;

[0136] 5. Improvement of the overall system effect: As the core component of the entire intelligent monitoring system, the monitoring machine realizes the real-time monitoring and remote control of the equipment status, effectively improving the operation efficiency of the equipment, reducing the failure rate, ensuring the safe and stable operation of the equipment, and improving the production efficiency and product quality.

[0137] Example 5

[0138] Suppose that on a certain day, the monitoring machine 9 collected the following data:

[0139] 1. The motor speed dropped to 1,200 revolutions per minute, which was significantly lower than the previous normal value of 1,500 revolutions per minute.

[0140] 2. The equipment temperature suddenly rose to 70 degrees Celsius, exceeding the preset safety threshold.

[0141] 3. The motor current suddenly increased to 25 amperes, abnormally exceeding the normal range.

[0142] 4. The monitoring machine immediately transmitted these abnormal data to the data processing module for analysis and processing.

[0143] Based on the above data, after analysis by the data automatic comparison module 4, the conclusion is:

[0144] 1. The decrease in the motor speed may be caused by insufficient equipment lubrication or mechanical failure. It is recommended to perform lubrication and maintenance.

[0145] 2. The increase in equipment temperature may be caused by a cooling system failure or abnormal ambient temperature. It is recommended to check the cooling system and clean the ventilation openings in a timely manner.

[0146] 3. The increase in motor current may be caused by a circuit failure or excessive equipment load. It is recommended to check the circuit and appropriately reduce the load.

[0147] Through the coordinated action of the monitoring machine 9 and the data automatic comparison module 4, abnormal situations can be identified in a timely manner and treatment suggestions can be put forward, which can help the operator quickly solve problems, ensure the normal operation of the equipment, and improve production efficiency and product quality.

[0148] Example 6

[0149] The data automatic acquisition module 1 and the data automatic processing module 2 are connected through the supported data interfaces or protocols. The data automatic acquisition module 1 directly transmits the acquired data to the data automatic processing module 2. Among them, the data automatic processing module 2 monitors and receives the data from the equipment parameter acquisition module 11, the equipment quantity acquisition module 12, the equipment historical application information acquisition module 13, the equipment historical failure information acquisition module 14, and the circuit information acquisition module 15 respectively;

[0150] Both the data automatic processing module 2 and the electromechanical equipment status monitoring module 7 establish connections with the transfer database 3 through the database connection method, and directly write the processed data into the transfer database 3 through the corresponding data manipulation language such as SQL; both the data automatic processing module 2 and the electromechanical equipment status monitoring module 7 can also send the processed data to the message queue, and the transfer database module of the transfer database 3 subscribes to and receives the data from the message queue and stores it in the database of the transfer database 3; among them, both the data automatic processing module 2 and the electromechanical equipment status monitoring module 7 use the interfaces and protocols supported by the database to transmit the collected data to the transfer database 3;

[0151] The transfer database 3 is also configured with a trigger, which is triggered when new data is inserted or updated, and transfers the corresponding data to the data automatic comparison module 4. The trigger realizes the monitoring and transmission of data changes at the database level of the transfer database 3;

[0152] The standard data import module 8 transfers the data of the standard data import module 8 to the data automatic comparison module 4 by calling the API interface provided by the data automatic comparison module 4; the standard data import module 8 can also send the imported data to the message queue, and the data automatic comparison module 4 subscribes to and receives these data from the message queue for comparison;

[0153] The data automatic comparison module 4 transfers the data processed by the data automatic comparison module 4 to the data automatic feedback module 5 by calling the API interface provided by the data automatic feedback module 5; the data automatic comparison module 4 can also transfer the data to the data automatic feedback module 5 through the message queue method or file transfer method;

[0154] The data automatic feedback module 5 transfers the data processed by the data automatic feedback module 5 to the data terminal 6 by calling the API interface provided by the data terminal 6; the data automatic feedback module 5 can also transfer the data to the data terminal 6 through the message queue method, database update, or file transfer method.

[0155] The device parameter acquisition module 11 is used to acquire various parameter information of the device, such as model, specification, performance index, etc., and transfer the acquired device parameter data to the data automatic processing module 2; the device quantity acquisition module 12 is responsible for counting and acquiring the quantity information of the devices in the system, classifying and counting according to different categories or attributes, and at the same time transferring the device quantity data to the data automatic processing module 2; the device historical application information acquisition module 13 is used to acquire the specific application situation of the device in the historical time period, including working time, working environment, etc., and transfer the historical application information data to the data automatic processing module 2; the device historical fault information acquisition module 14 is responsible for acquiring the fault information that occurred to the device in the past, including fault type, solution method, etc., and transferring the historical fault information data to the data automatic processing module 2; the circuit information acquisition module 15 is used to acquire the relevant information of the circuit where the device is located, including circuit topology, connection method, voltage, etc., and transfer the circuit information data to the data automatic processing module 2.

[0156] The data automatic inspection module 21 is responsible for monitoring the integrity and accuracy of data, detecting abnormal conditions or errors in the data, and transmitting the detected abnormal data or problem data to the error data automatic marking module 22 for marking and identification; the error data automatic marking module 22 receives the abnormal data from the data automatic inspection module 21, marks and classifies it, and transmits the marked error data to the error data deletion module 23 or the deleted data leakage filling module 24 for subsequent processing; the error data deletion module 23 receives the marked error data, deletes these data from the system according to the preset rules, and feeds back the data situation after deletion to the data automatic inspection module 21 for further monitoring the integrity of the data; the deleted data leakage filling module 24 is responsible for repairing and supplementing possible data missing or loopholes after deleting the data, and is used in combination with the data re-integration module 25 to ensure the integrity and consistency of the data; the data re-integration module 25 is responsible for re-integrating and merging the processed data to ensure the consistency and accuracy of the data, and is used in combination with the data automatic classification module 26 to classify and file the integrated data; the data automatic classification module 26 automatically classifies and files the data according to the characteristics and attributes of the data, and transmits the classified data to the transfer database 3. Through the connection and use of the above modules, a complete data processing process can be realized, including functions such as data inspection, error handling, data integration and classification, thereby improving data quality and management efficiency.

[0157] The data automatic grouping module 41 is responsible for grouping data according to certain rules or algorithms, classifying similar data into the same group, and transmitting the grouped data to the data automatic numbering module 42 for numbering; the data automatic numbering module 42 receives the grouped data from the data automatic grouping module 41, generates a unique number for each data group, and transmits the numbered data to the data-by-data comparison module 43 for one-by-one comparison; the data-by-data comparison module 43 is responsible for comparing the numbered data one by one, comparing the differences and similarities between the data, and transmitting the comparison results to the abnormal data extraction module 44 to extract abnormal data for subsequent processing; the abnormal data extraction module 44 receives the comparison results from the data-by-data comparison module 43, extracts the data with abnormal conditions, and at the same time transmits the abnormal data to the abnormal information automatic generation module 45 for automatic generation of abnormal information; the abnormal information automatic generation module 45 automatically generates corresponding abnormal information or reports according to the characteristics and attributes of the abnormal data, and transmits the generated abnormal information to the abnormal situation handling opinion generation module 46 to generate suggestions for handling abnormal situations; the abnormal situation handling opinion generation module 46 receives the abnormal information from the abnormal information automatic generation module 45, generates corresponding handling opinions or suggestions, and provides the generated handling opinions to the user or the data automatic feedback module 5 for further processing of abnormal situations. Through the connection and use of the above modules, the functions of grouping, numbering, comparing, and abnormal handling of data can be realized. The cooperation and interaction between different modules can help the system automatically process abnormal data, generate relevant abnormal information and handling suggestions, improve the efficiency of data analysis and abnormal situation handling, and reduce the need for manual operations.

[0158] The electrical signal monitoring module 71 of the electromechanical equipment is responsible for monitoring the changes in the electrical signals of the electromechanical equipment, such as current, voltage, etc., and transmitting the monitored electrical signal data to the transfer database 3; the operating state monitoring module 72 of the electromechanical equipment is used to monitor the operating state of the electromechanical equipment, such as startup, shutdown, failure, etc., and transmits the monitored operating state information to the transfer database 3; the vibration monitoring module 73 of the electromechanical equipment is responsible for monitoring the vibration of the electromechanical equipment to determine whether there is abnormal vibration in the equipment, and transmits the vibration monitoring data to the transfer database 3; the temperature monitoring module 74 of the electromechanical equipment is used to monitor the temperature changes of the electromechanical equipment, such as the operating temperature, overheating, etc., of the equipment, and transmits the temperature monitoring data to the transfer database 3; the energy consumption monitoring module 75 of the electromechanical equipment is responsible for monitoring the energy consumption of the electromechanical equipment, such as the power consumption, energy consumption, etc., of the equipment, and transmits the energy consumption monitoring data to the transfer database 3; the power monitoring module 76 of the electromechanical equipment is used to monitor the power changes of the electromechanical equipment, such as the output power, power fluctuation, etc., of the equipment, and transmits the power monitoring data to the transfer database 3.

[0159] Through the connection and use of the above-mentioned modules, it is possible to monitor and analyze multiple aspects of electromechanical equipment; data interaction and collaboration between different modules can help the system to monitor the operating status, health status, and energy consumption of electromechanical equipment in real time, provide timely warnings and analysis results for corresponding maintenance and management.

[0160] The data automatic comparison module 4 can obtain relevant data of the electromechanical equipment status monitoring module 7 from the transfer database 3 and compare it with the data of the standard data import module 8; the data automatic comparison module 4 respectively compares the electrical signal data monitored by the electromechanical equipment electrical signal monitoring module 71, the working status information monitored by the electromechanical equipment working status monitoring module 72, the vibration monitoring data monitored by the electromechanical equipment vibration monitoring module 73, the temperature monitoring data monitored by the electromechanical equipment temperature monitoring module 74, the energy consumption monitoring data monitored by the electromechanical equipment energy consumption monitoring module 75, and the power monitoring data monitored by the electromechanical equipment power monitoring module 76 with the data of the standard data import module 8 for comparison processing, and sends the processed data to the data automatic feedback module 5.

[0161] The monitoring machine 9 can be connected and used with the data automatic acquisition module 1, the data automatic processing module 2, the transfer database 3, the data automatic comparison module 4, the data automatic feedback module 5, the data terminal 6, the electromechanical equipment status monitoring module 7, and the standard data import module 8 through one or more connection methods such as data transmission protocol, API interface, message queue, direct call, and Web service.

[0162] The monitoring machine 9 can obtain data from various data sources such as devices and systems in real time through the data automatic acquisition module 1, and the data automatic acquisition module 1 transmits the obtained data to the monitoring machine 9 for further processing and analysis.

[0163] The monitoring machine 9 can transmit the data obtained from the data automatic acquisition module 1 to the data automatic processing module 2 for processing, and the processed data can be transmitted back to the monitoring machine 9 or the transfer database 3 for further processing or storage;

[0164] The monitoring machine 9 can transmit the processed data to the transfer database 3 for temporary storage or backup, and the transfer database 3 can provide data storage and access functions so that the monitoring machine 9 or other modules can obtain the required data at any time;

[0165] The monitoring machine 9 can transmit the data to the data automatic comparison module 4 for data comparison and analysis, compare the data differences in different time periods or from different sources, and the comparison results can be transmitted back to the monitoring machine 9 or the data automatic feedback module 5 for further decision-making and processing;

[0166] The monitoring machine 9 can transmit feedback information to the data automatic feedback module 5 according to the data analysis results to achieve automatic control or adjustment of the system or device. The data automatic feedback module 5 can transmit control instructions back to the monitoring machine 9 or the data terminal 6 to achieve closed-loop control;

[0167] The monitoring machine 9 can transmit the processed data to the data terminal 6 for display and real-time monitoring, facilitating users to view the data analysis results and reports through the terminal. The data terminal 6 can also receive instructions or feedback information input by users and transmit them back to the monitoring machine 9 for corresponding operations;

[0168] The monitoring machine 9 can receive the device status data transmitted by the electromechanical device status monitoring module 7 for comprehensive analysis of the device status and operation conditions;

[0169] The monitoring machine 9 can obtain standard data from the standard data import module 8 for comparison or reference with real-time data. The standard data import module 8 can also transmit real-time data to the monitoring machine 9 for standardization processing or comparison;

[0170] Through the connection and use of the above modules, the monitoring machine 9 can achieve data exchange, processing, analysis, and feedback of each module, thereby realizing the automated operation and intelligent decision-making of the monitoring system, improving the efficiency, accuracy, and reliability of the system, and providing better monitoring services and support for users.

[0171] Advantages of the present invention compared with the existing design:

[0172] 1. The present invention realizes real-time monitoring and feedback: The monitoring machine can monitor the device status in real time and feedback it to the data processing module, enabling problems to be discovered and solved in a timely manner, avoiding production interruptions and losses caused by failures;

[0173] 2. Remote monitoring and operation are realized: The monitoring machine realizes the functions of remote monitoring and remote control operation through a wireless connection with the Web server, facilitating the management and operation of staff and improving work efficiency;

[0174] 3. Data analysis and processing are realized: The data processing module can comprehensively analyze and process the collected data, identify abnormal situations, and generate processing suggestions, providing a decision-making basis and guidance for staff and improving the accuracy and efficiency of problem handling.

[0175] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not a limitation of the present invention in other forms. Any person skilled in the art may use the technical content disclosed above to make changes or modifications into equivalent embodiments with equivalent changes. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the technical solution content of the present invention still fall within the protection scope of the technical solution of the present invention.

Claims

1. Dazhongjiu special line intelligent manufacturing electromechanical situation awareness process system, characterized by: include: An automatic data acquisition module (1), wherein an output end of the automatic data acquisition module (1) is connected to an input end of the automatic data processing module (2); An automatic data processing module (2), wherein an output end of the automatic data processing module (2) is connected to an input end of a transfer database (3); A transfer database (3), wherein an output end of the transfer database (3) is connected to an input end of the automatic data comparison module (4); An automatic data comparison module (4), wherein an output end of the automatic data comparison module (4) is connected to an input end of the automatic data feedback module (5); An automatic data feedback module (5), the output end of which is connected to the input end of the data terminal (6); A data terminal (6), the data terminal (6) is used to receive data from the automatic data feedback module (5); The input end of the transfer database (3) is also connected to a mechanical and electrical equipment status monitoring module (7), and the input end of the automatic data comparison module (4) is also connected to a standard data import module (8).

2. According to the Dazhongjiu dedicated line intelligent manufacturing electromechanical situation awareness process system of claim 1, it is characterized in that: The system also includes a monitoring machine (9), which is respectively connected to the automatic data acquisition module (1), the automatic data processing module (2), the transfer database (3), the automatic data comparison module (4), the automatic data feedback module (5), the data terminal (6), the electromechanical equipment status monitoring module (7) and the standard data import module (8).

3. According to the Dazhongjiu special line intelligent manufacturing electromechanical situation awareness process system of claim 1, it is characterized in that: The automatic data acquisition module (1) comprises: A device parameter acquisition module (11), wherein an output end of the device parameter acquisition module (11) is connected to an input end of the device quantity acquisition module (12); A device quantity acquisition module (12), wherein an output end of the device quantity acquisition module (12) is connected to an input end of a device historical application information acquisition module (13); A device historical application information acquisition module (13), wherein an output end of the device historical application information acquisition module (13) is connected to an input end of the device historical fault information acquisition module (14); An equipment historical fault information acquisition module (14), wherein the output end of the equipment historical fault information acquisition module (14) is connected to the input end of the circuit information acquisition module (15).

4. According to the Dazhongjiu special line intelligent manufacturing electromechanical situation awareness process system of claim 1, it is characterized in that: The automatic data processing module (2) comprises: An automatic data inspection module (21), wherein an output end of the automatic data inspection module (21) is connected to an input end of an automatic error data marking module (22); An error data automatic marking module (22), wherein the output end of the error data automatic marking module (22) is connected to the input end of the error data deletion module (23); An error data deletion module (23), wherein an output end of the error data deletion module (23) is connected to an input end of the deletion data leak-filling module (24); A data deletion and leakage repairing module (24), wherein the output end of the data deletion and leakage repairing module (24) is connected to the input end of the data reintegration module (25); A data reintegration module (25), the output end of which is connected to the input end of the data automatic classification module (26).

5. According to the Dazhongjiu special line intelligent manufacturing electromechanical situation awareness process system of claim 1, it is characterized in that: The automatic data comparison module (4) comprises: An automatic data grouping module (41), wherein an output end of the automatic data grouping module (41) is connected to an input end of the automatic data numbering module (42); An automatic data numbering module (42), wherein an output end of the automatic data numbering module (42) is connected to an input end of a one-by-one data comparison module (43); A data comparison module (43), wherein the output end of the data comparison module (43) is connected to the input end of the abnormal data extraction module (44); An abnormal data extraction module (44), the output end of the abnormal data extraction module (44) is connected to the input end of the abnormal information automatic generation module (45); An abnormal information automatic generation module (45), the output end of the abnormal information automatic generation module (45) is connected to the input end of the abnormal situation handling opinion generation module (46); The abnormal situation handling suggestion generation module (46) is used to quickly and correctly respond to and handle the system abnormal situation, and automatically generate corresponding handling suggestions or solutions.

6. The system for intelligent manufacturing electromechanical situation awareness process of the Dazhongjiu special line according to claim 5 is characterized in that: The number of groups of the data automatic grouping module (41) is 10-12 groups; The data automatic numbering module (42) adopts one of digital numbering and alphabetical numbering.

7. The system for intelligent manufacturing electromechanical situation awareness process of the Dazhongjiu special line according to claim 1 is characterized in that: The electrical equipment vibration monitoring module (7) comprises: An electromechanical equipment electrical signal monitoring module (71), wherein an output end of the electromechanical equipment electrical signal monitoring module (71) is connected to an input end of an electromechanical equipment working state monitoring module (72); An electromechanical equipment working state monitoring module (72), wherein an output end of the electromechanical equipment working state monitoring module (72) is connected to an input end of the electromechanical equipment vibration monitoring module (73); An electromechanical equipment vibration monitoring module (73), wherein an output end of the electromechanical equipment vibration monitoring module (73) is connected to an input end of the electromechanical equipment temperature monitoring module (74); An electromechanical equipment temperature monitoring module (74), wherein an output end of the electromechanical equipment temperature monitoring module (74) is connected to an input end of the electromechanical equipment energy consumption monitoring module (75); An electromechanical equipment energy consumption monitoring module (75), the output end of the electromechanical equipment energy consumption monitoring module (75) being connected to the input end of the electromechanical equipment power monitoring module (76); The electromechanical equipment power monitoring module (76) is used to realize energy consumption management, equipment performance evaluation, preventive maintenance and safety monitoring and data analysis.

8. The system for intelligent manufacturing electromechanical situation awareness process of the Dazhongjiu special line according to claim 1 is characterized in that: The transit database (3) is used for temporary storage, data conversion and data exchange; The automatic data feedback module (5) is used for automatic data analysis and report generation. It receives data from the abnormal situation handling opinion generation module (46), analyzes the data, and generates corresponding feedback information or reports.

9. The system for intelligent manufacturing electromechanical situation awareness process of the Dazhongjiu special line according to claim 1 is characterized in that: The data terminal (6) is one or more of a mobile phone and a computer; The standard data import module (8) is used to import external data into the system, provide support for subsequent business processes and data analysis, and realize rapid data entry and utilization.

10. The system for intelligent manufacturing electromechanical situation awareness process of the Dazhongjiu special line according to claim 2 is characterized in that: A plurality of heat dissipation side holes (91) are arranged on the outer wall of one side of the monitoring machine (9), a wiring row (92) is fixedly mounted on the outer wall of the rear side of the monitoring machine (9), a plurality of wiring ports are arranged on the wiring row (92), and data cables (93) are connected to the wiring ports, wherein a top groove is arranged on the top surface of the monitoring machine (9), and a handle strap (94) is arranged in the top groove.

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