CN112506097A - Jig frame remote monitoring system and method based on industrial internet - Google Patents
Jig frame remote monitoring system and method based on industrial internet Download PDFInfo
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- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The invention discloses a remote tire frame monitoring system based on an industrial internet, which comprises a data acquisition module, a data transmission module, a data processing module and a data monitoring module, wherein the data acquisition module comprises a plurality of sensor nodes and is used for acquiring tire frame working data in real time, the data transmission module is used for communication among data, the data processing module is firstly connected into a plurality of tire frames and is used for effective management, then processes the data and forwards the data to a cloud server, and finally, the real-time data is processed according to rules or models issued by the cloud server, and the data monitoring module is used for acquiring and releasing tire frame remote information. According to the invention, the jig frame is accessed to the industrial Internet remote monitoring system, so that the real-time monitoring of the working data of the jig frame is realized, the workload of field supervision of managers is greatly reduced, the integral working condition of the jig frame can be mastered in time, and the working efficiency is greatly improved. The invention also discloses a monitoring method of the jig frame remote monitoring system based on the industrial Internet.
Description
Technical Field
The invention relates to remote monitoring of a tire frame, in particular to a tire frame remote monitoring system and a monitoring method thereof based on an industrial internet.
Background
On the ship segment construction site, segments are used as basic elements of a ship body, the quality control of the segments directly influences the difficulty and efficiency of closure of a slipway, further influences the navigation performance index of a ship, and finally relates to the product quality, the production efficiency, the production cost and the production period of the ship manufacturing industry. For segmentation, a jig frame is the foundation of segmented construction, most of the existing jig frame working data are still manually collected and manually recorded and finally input into a computer for summarizing, the problems of data collection lag, difficulty in real-time monitoring and statistics, low data reliability, poor utilization rate and the like generally exist, and the precision and the efficiency of ship segmented construction are severely limited.
The conventional remote monitoring system for the jig frame is incomplete in acquisition of the working data of the jig frame, the acquired data are simply counted, information in the operation process of the jig frame is not circulated, the working data cannot be displayed in real time, and therefore managers cannot timely master the working condition of the jig frame.
Disclosure of Invention
The purpose of the invention is as follows: aiming at the defects, the invention provides the industrial internet-based jig frame remote monitoring system which acquires, processes and counts the jig frame data for multiple times and displays the jig frame data in real time.
The invention also provides a monitoring method of the remote monitoring system.
The technical scheme is as follows: in order to solve the problems, the invention adopts an industrial internet-based jig frame remote monitoring system, which comprises a data acquisition module, a data transmission module, a data processing module and a data monitoring module, wherein the data acquisition module comprises a plurality of sensor nodes, and the sensor nodes are used for acquiring the working data of a jig frame;
the data transmission module transmits the data acquired by the data acquisition module to the data processing module;
the data processing module comprises an edge gateway and a cloud server, the edge gateway processes and analyzes received data by adopting edge computing and forwards the processed data to the cloud server, the cloud server calculates the processed data to obtain a rule or a model and sends the rule or the model to the edge gateway, and the edge gateway processes the received data according to the rule or the model to obtain a decision instruction and sends the decision instruction to the jig frame;
the data monitoring module remotely acquires and stores the tire frame data and issues the data through a Web system.
Further, the sensor node comprises a sensor module, a processor module, a wireless communication module, a GPS module and a power supply module, wherein the sensor module is used for collecting the working data of the tire frame; the processor module is used for controlling the whole sensor node, and comprises a storage unit, a processing unit and a control unit, wherein the storage unit is used for storing and processing data collected by the sensor module in the sensor node and data sent by other sensor nodes; the wireless communication module is used for receiving and transmitting the acquired data and the data transmitted by the sensor node and other sensor nodes; the GPS module is used for acquiring the position information of the sensor node; the power module supplies power to the sensor node.
Furthermore, the edge gateway comprises a multi-device access and management module, a data analysis and cleaning module and a rule calculation and information decision module; the multi-equipment access and management module is used for receiving data acquired by each jig frame sensor node, performing primary processing on the data of each jig frame, and then registering and managing each jig frame; the data analysis and cleaning module is used for further processing the primarily processed data and uploading the further processed data to the cloud server, and the cloud server calculates the data to obtain a rule or a model and sends the rule or the model to the rule calculation and information decision module; and the rule calculation and information decision module processes the data of each jig frame according to the rule or the model to obtain a decision instruction and sends the decision instruction to each jig frame.
Furthermore, the multi-device access and management module comprises a device connection unit, a data conversion unit and an access bus unit; the equipment connecting unit is connected with each jig frame in a wired or wireless mode and receives data acquired by each jig frame sensor node; the data conversion unit is used for carrying out primary processing on the data acquired by each jig frame sensor node and converting one or more types of data acquired by each jig frame sensor node into standard data formats with the same specification in batches; and the access bus unit realizes the registration and management of each jig frame through a message bus according to the preliminarily processed data.
Further, the data analysis and cleaning module further processes the preliminary processed data using missing value processing and data filtering operations.
Further, the rule calculation and information decision module adopts an embedded rule engine to obtain a decision instruction for the jig frame.
Further, the embedded rule engine comprises a triggering condition part, a filtering condition part and an executing action part, wherein the triggering condition part is a rule inlet, when input data meet the set triggering condition, a triggering action is generated, the filtering condition part screens the data again according to the filtering condition, the executing action part issues a decision instruction to the jig frame according to the screened data, and the executing action is output as a rule of the embedded rule engine.
Furthermore, the Web system is a B/S architecture and comprises a data access layer, a service logic layer and a page display layer; the data access layer is used for completing basic data access, the service logic layer is used for completing data insertion, deletion and query, and the page display layer is used for displaying real-time data and historical data of the tire frame.
The invention adopts a monitoring method of the remote monitoring system, which comprises the following specific steps:
(1) the sensor node collects working data of the jig frame in real time;
(2) the multi-equipment access and management module carries out primary processing on the collected working data and completes registration and management of the jig frame;
(3) the data analysis and cleaning module further processes the primarily processed data and uploads the data to the cloud server, and the cloud server monitors the tire frame state in real time according to the data;
(4) the cloud server calculates data to obtain a rule or a model and sends the rule or the model to the edge gateway, and meanwhile, the cloud server judges whether abnormality exists or not; when the abnormity occurs, positioning an abnormal point and informing operation and maintenance personnel;
(5) the edge gateway obtains a decision instruction according to a rule or a model issued by the cloud server and issues the decision instruction to the jig frame;
(6) and accessing a cloud server through a Web system to check real-time data and historical data of the jig frame.
Has the advantages that: compared with the prior art, the invention has the obvious advantages that the industrial internet technology is adopted, and the real-time acquisition, transmission, processing and monitoring of the working data of the moulding bed are realized in the ship sectional construction process; the method has the advantages that various working data of the jig frame are collected by the aid of the sensor nodes, data are processed by edge calculation, and calculation is pushed to a position close to a jig frame data source, so that calculation service and data migration are better supported, access pressure of a cloud server is reduced, jig frame monitoring is intelligentized and remotened, and accurate jig frame monitoring is achieved.
Drawings
FIG. 1 is an overall block diagram of the remote jig frame monitoring system of the present invention;
fig. 2 is a flow chart of the monitoring method of the jig frame remote monitoring system of the invention.
Detailed Description
As shown in fig. 1, the remote tire carrier monitoring system based on the industrial internet in this embodiment includes a data acquisition module, a data transmission module, a data processing module, and a data monitoring module, where the data acquisition module is a basis of the remote tire carrier monitoring system and includes a plurality of sensor nodes, and the sensor nodes are arranged at each part of the tire carrier and used for acquiring various working data of the tire carrier, including data such as pulling pressure, temperature, and displacement.
The sensor node comprises a sensor module, a processor module, a wireless communication module, a GPS module and a power supply module, wherein the sensor module is used for collecting the working data of the jig frame and carrying out data conversion; the processor module is used for controlling the whole sensor node and storing and processing the data collected by the sensor node and the data sent by other sensor nodes; the wireless communication module is used for communication between the sensor node and other sensor nodes and information exchange and data receiving and transmitting between the sensor node and other sensor nodes, and the wireless communication module sends acquired data such as pulling pressure, temperature and the like to the data transmission module through a data receiving and transmitting function; the wireless communication module and the data transmission module adopt a short-distance wireless communication technology; the GPS module is used for acquiring the position information of the sensor node; the power module supplies power to the sensor node. The processor module and the wireless communication module are packaged on chips of a wireless singlechip series.
The data transmission module transmits the data acquired by the data acquisition module to the data processing module; the data transmission module can adopt short-distance wireless communication technology such as ZigBee, WiFi and the like to carry out data communication, and also can adopt wired communication technology to carry out data communication through various communication media such as twisted-pair wires, power lines, optical fibers and the like.
The data processing module comprises an edge gateway and a cloud server, the edge gateway accesses the moulding bed by adopting edge calculation and effectively manages the moulding bed, and the received data is processed and analyzed; the functional module of the edge gateway comprises a multi-device access and management module, a data analysis and cleaning module and a rule calculation and information decision module; the multi-equipment access and management module is used for receiving data collected by each jig frame sensor node, completing connection of each jig frame according to different types of access modes provided by the edge gateway, and performing primary processing on the data of each jig frame. The multi-device access and management module comprises a device connection unit, a data conversion unit and an access bus unit; the device connecting unit senses the jig frames to be accessed, is connected with the jig frames in a wired or wireless mode, and receives data collected by the sensor nodes of the jig frames. The data conversion unit is used for carrying out primary processing on the data acquired by each jig frame sensor node, converting one or more types of data acquired by each jig frame sensor node into standard data formats with the same specification in batches, and then analyzing and packaging the data. The access bus unit realizes the registration and management of each jig frame through a message bus (MQ) according to the data processed preliminarily.
The data analysis and cleaning module performs screening, storage, aggregation, optimization and other operations on the primarily processed data by adopting missing value processing and data filtering operations, so that the quality of the data and the size of the compressed data are improved, and the further processed data are transmitted to the cloud server through network equipment such as a wireless network bridge and in the modes of Ethernet communication and the like. The cloud server is configured to be in an automatic receiving mode, the sensor nodes actively send the tire rack data to the cloud server, and meanwhile the cloud server forwards the data to the Web system, so that a real-time display function is achieved.
The cloud server presets the opening and closing strategy of the jig frame according to the operation requirement of the jig frame, and realizes real-time monitoring of the opening and closing states of the jig frame through received further processed data. Then the cloud server calculates data to obtain a rule or a model and sends the rule or the model to a rule calculation and information decision module of the edge gateway; the rule calculation and information decision module adopts an embedded rule engine to process the data of each jig frame according to rules or models, and obtains decision instructions to send to the jig frames. The embedded rule engine comprises a triggering condition part, a filtering condition part and an executing action part, wherein the triggering condition part is an inlet of the embedded rule engine, when input data meet the set triggering condition, triggering action is generated, the filtering condition part screens the data again according to the filtering condition, the executing action part issues a decision instruction to the tire frame according to the screened data, and the executing action is output as a rule of the embedded rule engine and is a final result of the embedded rule engine.
Meanwhile, the cloud server performs fusion processing on the data, and judges whether an abnormal alarm instruction is generated or not through corresponding expert knowledge analysis according to the effective data; if an abnormal alarm is generated, the cloud server can accurately position and obtain evidence aiming at the moulding bed, automatically schedule an operation and maintenance dispatch list, optimize a personnel monitoring process and effectively execute the inspection and maintenance.
The data monitoring module remotely acquires and stores various data of the moulding bed and issues the data through a Web system. The Web system is a B/S architecture and comprises a data access layer, a service logic layer and a page display layer; the data access layer completes the most basic data access function, the service logic layer completes the functions of data insertion, deletion, query and the like, the page display layer is used for displaying real-time data and historical data of the tyre frames, and a dynamic Web page is designed, so that authorized users can check the working data of each tyre frame through a browser in places with network connection.
As shown in fig. 2, a monitoring method of the remote monitoring system includes the following specific steps:
(1) the sensor nodes deployed on the tire carriers acquire working data of the tire carriers such as tension pressure, temperature, displacement and the like in real time according to system setting;
(2) data is transmitted to an edge gateway through various communication media such as twisted-pair lines, power lines, optical fibers and the like by adopting a short-distance wireless communication technology such as ZigBee, WiFi and the like or a wired communication technology;
(3) the multi-equipment access and management module performs primary processing on the acquired data, converts one or more types of data into a standard data format with the same standard in batches, analyzes and packs the data, and completes registration and management of the jig frame;
(4) the data analysis and cleaning module is used for further processing the data after primary processing through operations of screening, storing, aggregating, optimizing and the like, improving the data quality and compressing the data size, and uploading the data to the cloud server; meanwhile, the cloud server presets a jig frame opening and closing strategy according to the jig frame operation requirement, and monitors the opening and closing states of the jig frame in real time;
(5) the cloud server calculates data to obtain rules or models and sends the rules or models to the edge gateway, meanwhile, the cloud server performs fusion processing on the data, and judges whether the system is abnormal or not through corresponding expert knowledge analysis according to the effective data; when abnormality occurs, accurately positioning and obtaining evidence of the jig frame, automatically scheduling an operation and maintenance dispatch list, and optimizing a personnel monitoring process to effectively execute inspection and maintenance;
(6) the edge gateway processes the real-time data according to rules or models issued by the cloud server to obtain decision instructions and issues the decision instructions to the moulding bed;
(7) an administrator sends a data request to a cloud server through a Web system, and then an authorized user views real-time data and historical data of each moulding bed through a browser through a dynamic Web webpage.
Claims (10)
1. A remote jig frame monitoring system based on an industrial internet comprises a data acquisition module, a data transmission module, a data processing module and a data monitoring module, and is characterized in that the data acquisition module comprises a plurality of sensor nodes, and the sensor nodes are used for acquiring working data of a jig frame;
the data transmission module transmits the data acquired by the data acquisition module to the data processing module;
the data processing module comprises an edge gateway and a cloud server, the edge gateway processes and analyzes received data by adopting edge computing and forwards the processed data to the cloud server, the cloud server calculates the processed data to obtain a rule or a model and sends the rule or the model to the edge gateway, and the edge gateway processes the received data according to the rule or the model to obtain a decision instruction and sends the decision instruction to the jig frame;
the data monitoring module remotely acquires and stores the tire frame data and issues the data through a Web system.
2. The remote monitoring system of claim 1, wherein the sensor node comprises a sensor module, a processor module, a wireless communication module, a GPS module, and a power module, the sensor module for collecting the tire frame operational data; the processor module is used for controlling the whole sensor node, and storing and processing data collected by the sensor module in the sensor node and data sent by other sensor nodes; the wireless communication module is used for receiving and transmitting the acquired data and exchanging information between the sensor node and other sensor nodes; the GPS module is used for acquiring the position information of the sensor node; the power module supplies power to the sensor node.
3. The remote monitoring system of claim 1, wherein the data transmission module employs a short-range wireless communication technology or a wired communication technology.
4. The remote monitoring system of claim 1, wherein the edge gateway comprises a multi-device access and management module, a data analysis and cleansing module, a rule calculation and information decision module; the multi-equipment access and management module is used for receiving data acquired by each jig frame sensor node, performing primary processing on the data of each jig frame, and then registering and managing each jig frame; the data analysis and cleaning module is used for further processing the primarily processed data and uploading the further processed data to the cloud server, and the cloud server calculates the data to obtain a rule or a model and sends the rule or the model to the rule calculation and information decision module; and the rule calculation and information decision module processes the data of each jig frame according to the issued rule or model to obtain a decision instruction and issues the decision instruction to each jig frame.
5. The remote monitoring system according to claim 4, wherein the multi-device access and management module comprises a device connection unit, a data conversion unit and an access bus unit; the equipment connecting unit is connected with each jig frame in a wired or wireless mode and receives data acquired by each jig frame sensor node; the data conversion unit is used for carrying out primary processing on the data acquired by each jig frame sensor node and converting one or more types of data acquired by each jig frame sensor node into the same standard data format in batch; and the access bus unit realizes the registration and management of each jig frame through a message bus according to the preliminarily processed data.
6. The remote monitoring system of claim 4, wherein the data analysis and cleansing module further processes the preliminary processed data using missing value processing and data filtering operations.
7. The remote monitoring system of claim 4, wherein the rule calculation and information decision module employs an embedded rule engine to derive decision instructions for the tire frame.
8. The remote monitoring system according to claim 7, wherein the embedded rule engine includes a trigger condition part, a filter condition part and an execution action part, the trigger condition part is an entry of the rule, the trigger action is generated when the input data meets the set trigger condition, the filter condition part performs re-screening on the data according to the filter condition, the execution action part issues a decision instruction to the jig frame according to the screened data, and the execution action is output as the rule of the embedded rule engine.
9. The remote monitoring system according to claim 1, wherein the Web system is a B/S architecture comprising a data access layer, a business logic layer and a page display layer; the data access layer is used for completing basic data access, the service logic layer is used for completing data insertion, deletion and query, and the page display layer is used for displaying real-time data and historical data of the tire frame.
10. A method for monitoring a remote monitoring system according to any one of claims 1 to 9, comprising the following steps:
(1) the sensor node collects working data of the jig frame in real time;
(2) the multi-equipment access and management module carries out primary processing on the collected working data and completes registration and management of the jig frame;
(3) the data analysis and cleaning module further processes the primarily processed data and uploads the data to the cloud server, and the cloud server monitors the tire frame state in real time according to the data;
(4) the cloud server calculates data to obtain a rule or a model and sends the rule or the model to the edge gateway, and meanwhile, the cloud server judges whether abnormality exists or not; when the abnormity occurs, positioning an abnormal point and informing operation and maintenance personnel;
(5) the edge gateway obtains a decision instruction according to a rule or a model issued by the cloud server and issues the decision instruction to the jig frame;
(6) and accessing a cloud server through a Web system to check real-time data and historical data of the jig frame.
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