CN113628493B - Industrial Internet network operation and maintenance training system - Google Patents
Industrial Internet network operation and maintenance training system Download PDFInfo
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- CN113628493B CN113628493B CN202111004145.5A CN202111004145A CN113628493B CN 113628493 B CN113628493 B CN 113628493B CN 202111004145 A CN202111004145 A CN 202111004145A CN 113628493 B CN113628493 B CN 113628493B
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Abstract
The application provides an industrial Internet network operation and maintenance training system. According to the technical scheme, the industrial Internet network operation and maintenance training system comprises a Programmable Logic Controller (PLC), a Radio Frequency Identification (RFID) device, a servo motor, a stepping motor, a sensor module, a code scanning device and a two-dimensional code disc, wherein the PLC is connected with the RFID device, the servo motor and the stepping motor. According to the technical scheme, the operation and maintenance data and the working condition data acquired by the industrial Internet network operation and maintenance training system in the operation process and the change condition of the data can be used for early warning faults possibly existing in the equipment operation process, the optimal experience of the user in the interaction of the whole process in the industrial Internet network operation and maintenance training process is met, and the social-end industrial Internet talents can be cultured.
Description
Technical Field
The application relates to the technical field of industrial Internet, in particular to an industrial Internet network operation and maintenance training system.
Background
At present, the manufacturing industry is in an important stage of developing from networking and digitalization to intellectualization, and the core of the stage is based on comprehensive perception of massive industrial data, and intelligent decision and control are realized through end-to-end data deep integration and modeling analysis, so that novel manufacturing modes such as intelligent production, networking collaboration and personalized customization are formed.
The industrial Internet is a product of deep integration of a new generation of information communication technology and a modern industrial technology, is an important carrier for digitization, networking and intellectualization of manufacturing industry, has the functions of conversion, processing, hierarchical storage, analysis and mining, visual processing and the like of industrial big data, and in an industrial system of the industrial Internet of the prior related technology, a user obtains operation and maintenance data and working condition data in related data of entity equipment by observing operation data of entity equipment of the industrial system or the user so as to obtain the operation condition of the system.
However, as the operation and maintenance data and the working condition data are changed due to the operation of the system, the description in the related data is inaccurate, and in addition, the user observes the entity equipment, so that the on-site investigation has inconvenience, and some operation and maintenance data and working condition data related to the industrial Internet cannot be better provided for the user.
Disclosure of Invention
In view of the above, the application provides an industrial Internet network operation and maintenance training system, which can obtain real-time data and data change trend of the system in the operation process and can meet the best experience of the user in the interaction of the whole process in the industrial Internet practical training process.
In a first aspect, the present application provides an industrial internet network operation and maintenance training system, the training system comprising: the device comprises a programmable logic controller PLC, a radio frequency identification RFID device, a servo motor, a stepping motor, a sensor module, a code scanning device and a two-dimensional code disc, wherein the PLC is connected with the RFID device, the servo motor and the stepping motor; the two-dimensional code disc is used for recording first information, second information, third information and fourth information in a two-dimensional code mode, the first information is used for indicating the PLC to obtain target working states of the servo motor and the stepping motor, the second information is used for indicating the PLC to control the servo motor to work, the third information is used for indicating the PLC to control the stepping motor to work, and the fourth information is used for indicating the PLC to process operation data collected by the sensor module; the sensor module is used for collecting operation data when the servo motor and the stepping motor are in a working state; the RFID device is used for storing fifth information and sixth information, the fifth information is used for indicating a first target working state of the servo motor, and the sixth information is used for indicating a second target working state of the stepping motor; the code scanning device is used for scanning the first information, the second information, the third information and the fourth information and sending the first information, the second information, the third information and the fourth information to the PLC; the PLC is used for: acquiring the fifth information and the sixth information when the first information is received, and writing the fifth information and the sixth information into the RFID device; reading the fifth information from the RFID device when the second information is received, and sending a first control signal to the servo motor based on the fifth information, wherein the first control signal is used for controlling the servo motor to work in the first target working state; reading the sixth information from the RFID device when the third information is received, and sending a second control signal to the stepping motor based on the sixth information, wherein the second control signal is used for controlling the stepping motor to work in the second target working state; and carrying out first processing on the operation data acquired by the sensor module when the fourth information is received.
In this aspect, the RFID device, as a carrier of information, may be used to store information and read information; the PLC is used for receiving the data, processing the data and storing the data into the RFID device, controlling the running of the practical training system according to the received information, and the sensor module is used for collecting the running data of the practical training system in the running process; by collecting the operation data in the operation process of the practical training system and processing and analyzing the data, possible faults in the operation process of the equipment can be early warned.
With reference to the first aspect, in a first possible implementation manner, the sensor module includes one or more of an infrared temperature sensor, a torque sensor, and a noise sensor; the infrared temperature sensor is used for measuring the temperature of the stepping motor in operation; the torque sensor is used for measuring the torque of the stepping motor in operation; the noise sensor is used for measuring the noise of the stepping motor in operation.
With reference to the first aspect, in a second possible implementation manner, the training system further includes a cylinder, and the sensor module includes a displacement sensor and/or a pressure sensor; the displacement sensor is used for measuring the height value of the cylinder; the pressure sensor is used for measuring the pressure value born by the cylinder.
With reference to the first aspect, in a third possible implementation manner, the training system further includes a vibration sensor, where the vibration sensor is configured to measure a vibration frequency of the training system during operation.
With reference to the first aspect, in a fourth possible implementation manner, the training system further includes: the system comprises an electric energy meter, an analog quantity acquisition module, a temperature and humidity meter and a touch screen; the electric energy meter is used for measuring the electricity consumption of the practical training system in the running process of the practical training system; the analog quantity acquisition module is used for acquiring analog quantity data of the practical training system in the running process of the practical training system; the temperature and humidity meter is used for measuring the temperature and humidity of the environment where the practical training system is located; the touch screen is used for displaying the operation data of the practical training system in the operation process.
With reference to the first aspect, in a fifth possible implementation manner, the training system further includes: the scanning device comprises a code scanning gun; the serial server is used for sending the first information, the second information, the third information and the fourth information acquired by the code scanning gun to the wireless client; the wireless client is configured to send the first information, the second information, the third information, and the fourth information to the PLC.
With reference to the first aspect, in a sixth possible implementation manner, the training system further includes: a ordering system; the order placing system is used for receiving the fifth information and the sixth information and sending the fifth information and the sixth information to the PLC.
With reference to the first aspect, in a seventh possible implementation manner, the training system further includes: the dial is connected with the servo motor; the dial is used for dialing the pointer under the control of the servo motor.
With reference to the first aspect, in an eighth possible implementation manner, the training system further includes: proximity sensor, push block and encoder; the pushing block is used for carrying out displacement under the action of the stepping motor; the proximity sensor is used for detecting the displacement distance of the pushing block and sending the displacement distance to the encoder; the encoder is used for receiving the displacement distance and calculating the position of the pushing block.
With reference to the first aspect or any one of the foregoing possible implementation manners, in a ninth possible implementation manner, the training system further includes: an IOT gateway and a cloud platform; the IOT gateway is used for sending the operation data acquired by the sensor module to the cloud platform; the cloud platform is used for carrying out second processing on the operation data and displaying a result obtained by the second processing.
Drawings
Fig. 1 is a architecture diagram of an IOT and a cloud platform service provided in an embodiment of the present application;
FIG. 2 is a network topology diagram of an industrial Internet network operation training system according to an embodiment of the present application;
FIG. 3 is a schematic structural diagram of an industrial Internet network operation training platform according to an embodiment of the present application;
FIG. 4 is a flowchart of a method for operating an industrial Internet network operation training system according to an embodiment of the present application;
fig. 5 is a schematic diagram of cloud platform interface according to an embodiment of the present application.
Detailed Description
The following describes in detail the implementation of the embodiment of the present application with reference to the drawings.
Fig. 1 is a schematic diagram of an internet of things (the internet of things, IOT) and cloud platform service according to an embodiment of the present application. As shown in fig. 1, the architecture of IOT and cloud platform services includes an industrial internet network operation and maintenance training platform 101, an IOT gateway 102 and a cloud platform 103.
The user collects operation and maintenance data and working condition data of the industrial Internet network operation and maintenance system in the operation process through the industrial Internet network operation and maintenance training platform 101, then the collected operation and maintenance data and working condition data are transmitted to the cloud platform 103 through the IOT gateway 102, and the cloud platform 103 processes the operation and maintenance data and the working condition data and displays the processed operation and maintenance data and working condition data to the user.
The industrial internet network operation training platform 101 is described in detail in the following embodiments, and the main purpose of the IOT gateway 102 is to provide a bridge between different types of communication technologies, where main functions include: serving as data buffers, and streaming devices; offline services and real-time control of devices; summarizing the data; preprocessing, cleaning and filtering the data before sending the data; in addition, it provides additional security, device configuration and change management.
The cloud platform 103 mainly comprises an industrial internet network operation and maintenance IOT platform system and an industrial internet network operation and maintenance cloud platform system.
The industrial Internet network operation and maintenance IOT platform system focuses on data processing, has the capability of seamless connection with an IOT gateway, supports receiving and analyzing of encrypted data, and meets the requirement of diversified processing (statistical analysis, format conversion and the like) of the data through graphical data flow arrangement and various data processing plug-ins. In addition, distributed message queue telemetry transport (message queuing telemetry transport, MQTT) message cluster management is supported, MQTT, transmission control protocol (transmission control protocol, TCP) protocol is supported; supporting subscription and release of messages; providing online message queue management and query and retrieval of messages; various big data processing components such as big data platform (cloudera's distribution including apache hadoop, CDH), amazon wide area network service (amazon Web services, AWS), google (google) and the like are supported.
The industrial Internet network operation and maintenance cloud platform system focuses on data display, is matched with a hardware equipment platform, and achieves real-time acquisition of operation data of the industrial Internet network operation and maintenance training platform 101 and cloud transmission through an IOT gateway. The operation and maintenance cloud platform can realize data visualization, early warning maintenance, data analysis, data historical trend analysis, fault information alarm and the like, and also adopts a cloud deployment mode, so that the operation and maintenance cloud platform can learn practical training through an account login system.
Fig. 2 is a network topology diagram of an industrial internet network operation training system according to an embodiment of the present application. As shown in fig. 2, the industrial internet network operation training system includes an infrared temperature sensor 201, a vibration sensor 202, a displacement sensor 203, a noise sensor 204, a pressure sensor 205, a wireless router 206, an ordering system 207, a servo motor 208, a radio frequency identification (radio frequency identification, RFID) device 209, a touch screen 210, an electric energy meter 211, a Modbus gateway 212, an encoder 213, a frequency converter 214, a stepper motor 215, a programmable logic controller (programmable logic controller, a PLC) 216, an RJ45 network 217, an IOT gateway 102, a temperature and humidity meter 219, an analog acquisition module 220, a wireless client 221, a serial server 222, a code scanner 223, a torque sensor 224, a proximity sensor 225, a dial 226, a push block 227, a cylinder 228, a two-dimensional code disc 229, a code scanner 230, a cloud platform 103, and a cloud platform interface 218, wherein the PLC 216 is connected to the RFID device 209, the servo motor 208, and the stepper motor 215.
The infrared temperature sensor 201 is used to collect the temperature of the stepper motor 215 during operation of the industrial internet network operation training system.
The vibration sensor 202 is used for acquiring the vibration frequency of the industrial internet network operation training platform 101 in the process of operating the industrial internet network operation training system.
The displacement sensor 203 is used for collecting the displacement of the air cylinder 228 during the operation of the industrial internet network operation training system.
The noise sensor 204 is used for collecting the operation noise of the stepper motor 215 in the process of operating the industrial internet network operation training system to evaluate the health condition of the stepper motor.
The pressure sensor 205 is used for collecting the pressure born by the air cylinder 228 when the air cylinder 228 is displaced in the process of operating the industrial internet network operation training system.
The torque sensor 224 is used for collecting the torque of the stepper motor, i.e. the torque output by the stepper motor from the crankshaft end, in the process of operating the industrial internet network operation training system. Under the condition of fixed power, the torque of the stepping motor is inversely related to the rotating speed of the stepping motor, and the faster the rotating speed is, the smaller the torque is, and the larger the reverse is.
The ordering system 207 is configured to receive program instruction information input by a user, for example, fifth information and sixth information, where the fifth information is used to indicate a first target working state of the servo motor 208, and the sixth information is used to indicate a second target working state of the stepper motor 215 during an operation process of the industrial internet network operation training system; the fifth and sixth information is then sent to the PLC 216 for processing and finally transmitted to the RFID device 209 for reading during use.
Illustratively, the ordering system 207 may be a touch screen for a user to operate, input instructions such as dialing a pointer of the dial 226 to a specified scale entered by the user, pushing the push block 227 to a preset position set by the user, and so forth.
The servo motor 208 is used for controlling the servo motor 208 to work in a first target state according to the fifth information read from the RFID device 209 in the process of operating the industrial internet network operation training system, that is, the servo motor 208 controls the pointer of the dial 226 to dial to a specified scale.
The RFID device 209 is an information carrier, and the principle is that the reader and the tag perform non-contact data communication, so as to achieve the purpose of identifying the target. The method is particularly used for recording and reading information collected by equipment, such as equipment operation data collected by each sensor and the like, in the operation process of the industrial Internet network operation and maintenance training system.
The touch screen 210 is used for directly displaying operation data of a part of equipment in the operation process of the industrial internet network operation training system, for example, displaying information read by the RFID device 209, displaying the temperature of the stepper motor acquired by the infrared temperature sensor 201, and the like.
The electric energy meter 211 performs data transmission with the PLC 216 through the Modbus gateway 212 and a related protocol such as S7 communication protocol, and is specifically used for recording information such as voltage and electric quantity of the industrial internet network operation and maintenance training system in the operation process of the system.
The frequency converter 214 is used for inputting frequency information in the process of operating the industrial internet network operation training system.
The stepper motor 215 is used for controlling the stepper motor 215 to work in a second target state according to the sixth information read from the RFID device 209 in the process of operating the industrial internet network operation training system, namely, the stepper motor 215 controls the pushing block 227 to be pushed to a preset position.
The proximity sensor 225 is used to detect the displacement distance of the push block 227 during operation of the industrial internet network operation training system and send the displacement distance to the encoder 213.
The encoder 213 is configured to receive the displacement distance sent by the proximity sensor 225 and calculate the position of the push block 227 during operation of the industrial internet network operation training system.
The PLC 216 is a programmable logic controller, in which a PLC program is written, and the PLC is used to control the device, and perform processing of some logic actions, that is, perform processing of the device according to some signal reactions; the method is specifically used for acquiring fifth information and sixth information when receiving the first information in the running process of the industrial internet network operation training system, and writing the fifth information and the sixth information into the RFID device 209; reading the fifth information from the RFID device 209 upon receiving the second information, and transmitting a first control signal to the servo motor 208 based on the fifth information, the first control signal being for controlling the servo motor 208 to operate in a first target operating state; reading the sixth information from the RFID device 209 upon receiving the third information, and transmitting a second control signal to the stepper motor 215 based on the sixth information, the second control signal being for controlling the stepper motor 215 to operate in a second target operating state; and carrying out first processing on the collected operation data when the fourth information is received.
The hygrothermograph 219 is used for collecting the temperature and humidity of the environment where the practical training system is located in the process of operating the practical training system of the industrial internet network operation.
The analog acquisition module 220 is used for acquiring analog data of the practical training system in the running process of the industrial internet network operation and maintenance practical training system.
The two-dimensional code disc 229 is configured to record, in the form of a two-dimensional code, first information, second information, third information and fourth information, where the first information is configured to instruct the PLC 216 to acquire a target working state of the servo motor 208 and the stepper motor 215, the second information is configured to instruct the PLC 216 to control the servo motor 208 to work, the third information is configured to instruct the PLC 216 to control the stepper motor 215 to work, and the fourth information is configured to instruct the PLC 216 to process the operation data acquired by each sensor.
The wireless router 206 is configured to transmit wireless signals during operation of the industrial internet network operation training system, and may perform data transmission with the wireless client 221 through wireless communication.
The code scanning gun 223 is used for scanning the two-dimensional code on the two-dimensional code disc 229 to acquire first information, second information, third information and fourth information in the running process of the industrial internet network operation training system.
The serial port server 222 is configured to transmit the first information, the second information, the third information, and the fourth information obtained by the code scanning gun 223 through the RJ45 network port to the wireless client 221 during the operation of the industrial internet network operation training system.
The wireless client 221 is configured to perform data transmission with the PLC 216 through a wireless signal transmitted by the wireless router 206 during operation of the industrial internet network operation training system, that is, send the first information, the second information, the third information and the fourth information to the PLC 216.
The code scanner 230 is also used for scanning the two-dimensional code on the two-dimensional code disc 229 to obtain the first information, the second information, the third information and the fourth information in the process of running the industrial internet network operation training system.
The wireless router 206, the ordering system 207, the servo motor 208, the RFID device 209 and the touch screen 210 communicate data with the PLC 216 through an RJ45 network port 217.
IOT gateway 102 is a ligament connecting a awareness network and a legacy communication network. As gateway equipment, the IOT gateway can realize protocol conversion between the sensing network and the communication network and among different types of sensing networks, and can realize wide area interconnection and local area interconnection. In addition, the IOT gateway also has a device management function, and an operator can manage each sensing node at the bottom layer through the IOT gateway device, know the relevant information of each node, and realize remote control. The cloud platform 103 is specifically used for transmitting the collected operation data to serve as a bridge in the operation process of the industrial internet network operation training system.
The cloud platform 103 is configured to perform a second process on the collected operation data, and display a result obtained by the second process through the cloud platform interface 218.
Based on the network topology diagram of the industrial Internet network operation and maintenance training system, the structural schematic diagram of the industrial Internet network operation and maintenance training platform shown in figure 3 can be obtained.
As shown in fig. 3, the industrial internet network operation training platform 101 includes an encoder 213, a noise sensor 204, a proximity sensor 225, a torque sensor 224, a stepper motor 215, a pressure sensor 205, a cylinder 228, a push block 227, an infrared temperature sensor 201, a displacement sensor 203, a servo motor 208, a dial 226, an RFID device 209, a code scanner 230, and a two-dimensional code wheel 229.
Wherein, servo motor 208 links to each other with calibrated scale 226, and stepper motor 215 links to each other with ejector 227, infrared temperature sensor 201 and torque sensor 224, and torque sensor 224 links to each other with proximity sensor 225, and proximity sensor 225 links to each other with noise sensor 204, and noise sensor 204 links to each other with encoder 213, and encoder 213 links to each other with ejector 227, and pressure sensor 205 links to each other with cylinder 228, and displacement sensor 203 links to each other with cylinder 228, and sweep sign indicating number ware 230 links to each other with RFID device 209.
Based on the industrial internet network operation and maintenance training platform shown in fig. 3, the industrial internet network operation and maintenance training system can be divided into the following four steps in the operation process, and the steps are specifically shown in fig. 4.
S401, the PLC controls the RFID device to read information and the code scanning device to scan codes.
In this step, after the industrial internet network operation training system is started, the PLC 216 sends a request (for example, a production report request) to the ordering system 207, receives an order issued by the ordering system 207, and processes the order information, and then writes the order information into the RFID device 209, where the order information includes fifth information and sixth information, the fifth information is used to indicate the first target operating state of the servo motor 208, and the sixth information is used to indicate the second target operating state of the stepper motor 215.
Illustratively, the order may indicate information such as the shape of the product that needs to be produced.
The PLC 216 controls the code scanner 230 to scan any one of the two-dimensional code disks 229 and the RFID device 209 to read order information stored in the RFID device 209. The two-dimensional code disc 229 has four two-dimensional codes, and first information, second information, third information and fourth information are recorded in the two-dimensional code disc respectively, the first information is used for indicating the PLC 216 to obtain target working states of the servo motor 208 and the stepper motor 215, the second information is used for indicating the PLC 216 to control the servo motor 208 to work, the third information is used for indicating the PLC 216 to control the stepper motor 215 to work, and the fourth information is used for indicating the PLC 216 to process operation data acquired by sensors in the training system.
Illustratively, the target operating states of the servo motor 208 and the stepper motor 215 refer to the servo motor 208 controlling the pointer of the dial 226 to dial to a specified scale and the stepper motor 215 controlling the push block 227 to translate to a preset position.
It will be appreciated that the code scanner 230 is wired to the RFID device 209 and that the code scanner may also include a code scanner gun.
As an alternative embodiment, the first information, the second information, the third information and the fourth information are obtained by scanning the code by using the code scanning gun 223 as shown in fig. 2, and the serial server 222 sends the first information, the second information, the third information and the fourth information obtained by the code scanning gun 223 to the wireless client 221; the wireless client 221 transmits the first information, the second information, the third information, and the fourth information into the PLC 216 through wireless communication.
S402, the PLC controls the servo motor to perform needle setting.
In this step, the PLC 216, upon receiving the second information, reads the fifth information from the RFID device 209, and based on the fifth information, transmits a first control signal to the servo motor 208, to control the servo motor 208 to operate in the first target operating state, i.e., the servo motor 208 controls the pointer of the dial 226 to dial to a designated position, while collecting the device data of the servo motor 208, such as the rotational speed of the servo motor 208, at this time.
S403, the PLC controls the stepping motor to perform pushing block processing.
In this step, the PLC 216 reads the sixth information from the RFID device 209 when receiving the third information, and sends a second control signal to the stepper motor 215 based on the sixth information, so as to control the stepper motor 215 to operate in a second target operating state, that is, the stepper motor 215 pushes the push block 227 to a preset position, in the process of pushing the push block 227, the proximity sensor detects the displacement distance of the push block 227 and sends the displacement distance to the encoder 213, the encoder 213 calculates the position of the push block 227 according to the displacement distance, the infrared temperature sensor 201 collects the temperature of the stepper motor 215, and the torque sensor 224 and the noise sensor 204 collect the torque and the operation noise of the stepper motor 215, so as to perform health management on the stepper motor 215 in time.
S404, the PLC performs data processing.
In this step, the PLC 216 processes the operation data collected during the operation of the training system when receiving the fourth information, where the operation data includes the equipment data of the servo motor 208, the position of the push block 227, the temperature of the stepper motor 215, the torque and the operation noise of the stepper motor 215, and the processing of the operation data includes format conversion, searching, processing, and the like of the operation data.
Optionally, the operation data of the industrial internet network operation training system during operation further includes the height of the cylinder 228 measured by the PLC 216 controlling the displacement sensor 203 to move up and down and the pressure magnitude born by the cylinder measured by the pressure sensor 205.
Finally, the operation data of the training system is processed and written into the RFID device 209.
After the execution of the above four steps is completed, the device operation data written into the RFID device 209 is transmitted to the cloud platform 103 through the IOT gateway 102, that is, the industrial internet network operation and maintenance IOT platform system and the industrial internet network operation and maintenance cloud platform system, and the collected device operation data is further processed, so as to finally obtain a cloud platform interface diagram as shown in fig. 5, where information collected by the IOT data and information collected by the PLC data can be displayed, for example, fig. 5 shows a relationship diagram of the current electric energy meter with 0.9 degree, the total electric quantity with 0.94 degree, the voltage and time, state information (for example, the state is on) of the analog quantity collection module, the relationship of the state grade and time, data of the temperature and humidity meter, and information such as the maximum value, the minimum value and the standard value of the voltage, the maximum value, the minimum value and the standard value of the current, the maximum value and the standard value of the active power value of the industrial internet network operation and maintenance training system in the operation process.
The user can obtain operation and maintenance data and working condition data of the industrial Internet network operation and maintenance practical training system in the operation process according to the information displayed by the platform interface, and the change condition of the data is analyzed according to the historical storage data, so that the effects of early warning faults possibly existing in the operation process of the equipment, prompting fault information and the like are finally achieved.
The industrial Internet network operation and maintenance training system integrates key technologies such as sensing, acquisition, control, communication, analysis, cloud end, safety and the like based on hardware such as an industrial personal computer, a PLC (programmable logic controller), an intelligent gateway and the like, restores an industrial scene to a training platform, can be used as a technical carrier for industrial Internet talent culture, can also perform relevant tests and verification such as protocol communication, protocol analysis, data application and the like, meets the optimal experience of the user that the whole process participates in interaction in the industrial Internet network operation and maintenance training process, is used for learners to learn theoretical knowledge and improve manual and practical skills, and can culture social-end-demand industrial Internet talents.
It should be understood that the term "and/or" is merely an association relationship describing the associated object, and means that three relationships may exist, for example, a and/or B may mean: there are three cases, a alone, a and B together, and B alone, wherein a, B may be singular or plural. In addition, the character "/" herein generally indicates that the associated object is an "or" relationship, but may also indicate an "and/or" relationship, and may be understood by referring to the context.
In the present application, "at least one" means one or more, and "a plurality" means two or more. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (8)
1. An industrial internet network operation and maintenance training system, comprising: the device comprises a programmable logic controller PLC, a radio frequency identification RFID device, a servo motor, a stepping motor, a sensor module, a code scanning device and a two-dimensional code disc, wherein the PLC is connected with the RFID device, the servo motor and the stepping motor;
the two-dimensional code disc is used for recording first information, second information, third information and fourth information in a two-dimensional code mode, the first information is used for indicating the PLC to obtain target working states of the servo motor and the stepping motor, the second information is used for indicating the PLC to control the servo motor to work, the third information is used for indicating the PLC to control the stepping motor to work, and the fourth information is used for indicating the PLC to process operation data collected by the sensor module;
the sensor module is used for collecting operation data when the servo motor and the stepping motor are in a working state; the RFID device is used for storing fifth information and sixth information, the fifth information is used for indicating a first target working state of the servo motor, and the sixth information is used for indicating a second target working state of the stepping motor; the code scanning device is used for scanning the first information, the second information, the third information and the fourth information and sending the first information, the second information, the third information and the fourth information to the PLC;
the PLC is used for: acquiring the fifth information and the sixth information when the first information is received, and writing the fifth information and the sixth information into the RFID device; reading the fifth information from the RFID device when the second information is received, and sending a first control signal to the servo motor based on the fifth information, wherein the first control signal is used for controlling the servo motor to work in the first target working state; reading the sixth information from the RFID device when the third information is received, and sending a second control signal to the stepping motor based on the sixth information, wherein the second control signal is used for controlling the stepping motor to work in the second target working state; when the fourth information is received, performing first processing on the operation data acquired by the sensor module;
the sensor module comprises one or more of an infrared temperature sensor, a torque sensor and a noise sensor; wherein the infrared temperature sensor is connected with the stepper motor; the torque sensor is connected with the proximity sensor; the noise sensor is connected with the encoder;
the infrared temperature sensor is used for measuring the temperature of the stepping motor in operation;
the torque sensor is used for measuring the torque of the stepping motor in operation;
the noise sensor is used for measuring the noise of the stepping motor in operation;
the training system further comprises: the system comprises an electric energy meter, an analog quantity acquisition module, a temperature and humidity meter and a touch screen;
the electric energy meter is used for measuring the electricity consumption of the practical training system in the running process of the practical training system;
the analog quantity acquisition module is used for acquiring analog quantity data of the practical training system in the running process of the practical training system;
the temperature and humidity meter is used for measuring the temperature and humidity of the environment where the practical training system is located;
the touch screen is used for displaying the operation data of the practical training system in the operation process.
2. The training system of claim 1, further comprising a cylinder, the sensor module comprising a displacement sensor and/or a pressure sensor;
the displacement sensor is used for measuring the height value of the cylinder;
the pressure sensor is used for measuring the pressure value born by the cylinder.
3. The training system of claim 1, further comprising a vibration sensor for measuring a vibration frequency of the training system during operation.
4. The training system of claim 1, further comprising: the scanning device comprises a code scanning gun;
the serial server is used for sending the first information, the second information, the third information and the fourth information acquired by the code scanning gun to the wireless client;
the wireless client is configured to send the first information, the second information, the third information, and the fourth information to the PLC.
5. The training system of claim 1, further comprising: a ordering system;
the order placing system is used for receiving the fifth information and the sixth information and sending the fifth information and the sixth information to the PLC.
6. The training system of claim 1, further comprising: the dial is connected with the servo motor;
the dial is used for dialing the pointer under the control of the servo motor.
7. The training system of claim 1, further comprising: proximity sensor, push block and encoder;
the pushing block is used for carrying out displacement under the action of the stepping motor;
the proximity sensor is used for detecting the displacement distance of the pushing block and sending the displacement distance to the encoder;
the encoder is used for receiving the displacement distance and calculating the position of the pushing block.
8. The training system of any one of claims 1 to 7, further comprising: an IOT gateway and a cloud platform;
the IOT gateway is used for sending the operation data acquired by the sensor module to the cloud platform;
the cloud platform is used for carrying out second processing on the operation data and displaying a result obtained by the second processing.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204425718U (en) * | 2015-01-15 | 2015-06-24 | 北京声物信息科技有限公司 | A kind of Intelligent LED lamp Ore-controlling Role based on Quick Response Code |
| WO2017054101A1 (en) * | 2015-09-30 | 2017-04-06 | 苏州富米信息技术有限公司 | Cloud of things online monitoring general platform system |
| CN206115277U (en) * | 2016-10-21 | 2017-04-19 | 北京京东尚科信息技术有限公司 | AGV transport vechicle |
| CN107272629A (en) * | 2017-07-28 | 2017-10-20 | 赣州科睿特软件股份有限公司 | A kind of intelligent plant system based on technology of Internet of things with industrial big data |
| CN109246223A (en) * | 2018-09-25 | 2019-01-18 | 海宁纺织机械有限公司 | A kind of textile machine novel maintenance system and its implementation |
| CN208889177U (en) * | 2018-04-04 | 2019-05-21 | 广东机电职业技术学院 | A kind of integrated practice tutoring system of intelligent Manufacturing Technology |
| CN109920295A (en) * | 2019-04-01 | 2019-06-21 | 南京康尼电气技术有限公司 | A kind of intelligent industrial internet teaching experience system and method |
| CN109959658A (en) * | 2019-03-26 | 2019-07-02 | 上汽通用五菱汽车股份有限公司 | A kind of novel robot automatic glue application detection system |
| CN110335527A (en) * | 2019-06-04 | 2019-10-15 | 广东启创智能科技有限公司 | A kind of intelligent plant producing line analogue system |
| CN112331006A (en) * | 2020-10-29 | 2021-02-05 | 海尔数字科技(南京)有限公司 | Industrial Internet application training system |
-
2021
- 2021-08-30 CN CN202111004145.5A patent/CN113628493B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204425718U (en) * | 2015-01-15 | 2015-06-24 | 北京声物信息科技有限公司 | A kind of Intelligent LED lamp Ore-controlling Role based on Quick Response Code |
| WO2017054101A1 (en) * | 2015-09-30 | 2017-04-06 | 苏州富米信息技术有限公司 | Cloud of things online monitoring general platform system |
| CN206115277U (en) * | 2016-10-21 | 2017-04-19 | 北京京东尚科信息技术有限公司 | AGV transport vechicle |
| CN107272629A (en) * | 2017-07-28 | 2017-10-20 | 赣州科睿特软件股份有限公司 | A kind of intelligent plant system based on technology of Internet of things with industrial big data |
| CN208889177U (en) * | 2018-04-04 | 2019-05-21 | 广东机电职业技术学院 | A kind of integrated practice tutoring system of intelligent Manufacturing Technology |
| CN109246223A (en) * | 2018-09-25 | 2019-01-18 | 海宁纺织机械有限公司 | A kind of textile machine novel maintenance system and its implementation |
| CN109959658A (en) * | 2019-03-26 | 2019-07-02 | 上汽通用五菱汽车股份有限公司 | A kind of novel robot automatic glue application detection system |
| CN109920295A (en) * | 2019-04-01 | 2019-06-21 | 南京康尼电气技术有限公司 | A kind of intelligent industrial internet teaching experience system and method |
| CN110335527A (en) * | 2019-06-04 | 2019-10-15 | 广东启创智能科技有限公司 | A kind of intelligent plant producing line analogue system |
| CN112331006A (en) * | 2020-10-29 | 2021-02-05 | 海尔数字科技(南京)有限公司 | Industrial Internet application training system |
Non-Patent Citations (1)
| Title |
|---|
| 基于IIOT的工业物联与数据采集及应用集成研究;《国内外机电一体化技术》;20200815(第04期);全文 * |
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