CN112163014A - Internet of things management system and method for satellite final assembly equipment - Google Patents
Internet of things management system and method for satellite final assembly equipment Download PDFInfo
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Abstract
The invention provides a satellite final assembly equipment internet of things management system and a method, comprising the following steps: the system comprises an equipment data acquisition and storage module, a database, a data processing module, an equipment monitoring module, a task monitoring module and a workshop environment monitoring module; the device data acquisition and storage module is connected with various types of devices and databases on a satellite assembly production line and is used for acquiring device data on line or off line and storing the device data into the databases; the data processing module is connected with the database, the equipment monitoring module, the task monitoring module and the workshop environment monitoring module, and is used for loading data from the database, preprocessing the data and transmitting the preprocessed data to the equipment monitoring module, the task monitoring module and the workshop environment monitoring module. The invention realizes interconnection and intercommunication among devices and high-efficiency integration of data, improves the utilization rate and management efficiency of workshop devices, and simultaneously ensures the assembly quality of model products.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to a satellite final assembly equipment Internet of things management system and method.
Background
With the increasing heavy task and the doubling increase of the task amount of the satellite model development, the high-strength density development challenge is increasingly severe, and new requirements on the satellite assembly quality and efficiency, the assembly precision, the assembly process level and the detection means are provided. In a traditional mode, a satellite final assembly process is still carried out around an independent unit, the satellite final assembly process belongs to a typical discrete operation mode, various devices/units in a final assembly workshop are mutually independent, are dispersed in deployment and large in mobility, manufacturing resource information circulation is not timely, information is scattered, key data are difficult to acquire and control on line, the problems of low data collection efficiency, large arrangement workload, difficult data analysis and utilization and the like are caused, the risks of data loss and confusion exist, an effective monitoring means is lacked for workshop field information, and the model task development requirements cannot be met. Meanwhile, as the satellite industry is limited to confidential requirements, the wireless and Bluetooth modes are not suitable for data acquisition on a satellite assembly production line, and the data transmission and storage have high safety and reliability requirements.
The prior art mainly focuses on integration and application of data on a high-automation-degree, process flow, target object fixation and open-type flow-type manufacturing assembly production line.
Patent document CN108762210A (application number: 201810517456.3) discloses an industrial intelligent manufacturing data acquisition device and method based on the internet of things, which mainly achieve data acquisition, storage, management and application of an automated machine tool and a robot on a flow production line, wherein the machine tool and the robot have high integration and automation, complete data communication interfaces, fixed equipment positions and better integration conditions. And the integration conditions of various devices on the satellite assembly production line are low in automation level, high in position mobility and the like are uneven, so that the prior art is difficult to be suitable for the Internet of things integration of the devices.
Therefore, a satellite assembly equipment internet of things management system and a method are developed, on the basis of a unified industrial internet of things platform, online acquisition and analysis processing of equipment detection data and operation parameters are realized through online integration of precision equipment, quality characteristic testing equipment, automatic tooling and other equipment on a satellite assembly production line, real-time operation state monitoring and fault alarming of the equipment are realized, and therefore the equipment data acquisition efficiency, the utilization rate and the data management level are effectively improved, and the production line internet of things level is greatly improved.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a satellite final assembly equipment internet of things management system and a satellite final assembly equipment internet of things management method.
The invention provides a satellite final assembly equipment internet of things management system, which comprises: the system comprises an equipment data acquisition and storage module, a database, a data processing module, an equipment monitoring module, a task monitoring module and a workshop environment monitoring module;
the device data acquisition and storage module is connected with various types of devices and databases on a satellite assembly production line and is used for acquiring device data on line or off line and storing the device data into the databases;
the data processing module is connected with the database, the equipment monitoring module, the task monitoring module and the workshop environment monitoring module, and is used for loading data from the database, preprocessing the data and transmitting the preprocessed data to the equipment monitoring module, the task monitoring module and the workshop environment monitoring module.
Preferably, the preprocessing comprises screening of abnormal data values, integration of multi-source heterogeneous data and conversion of data types;
transmitting the preprocessed data to each functional module to realize data query, visual display and downloading;
the preprocessed data are transmitted to the equipment monitoring module, so that the equipment can be monitored in real time through the equipment monitoring billboard, and the running state, the use condition and the fault mode of the equipment can be monitored in real time;
transmitting the preprocessed data to a task monitoring module, displaying the completion condition of the task, and monitoring the task progress through the data displayed in the module;
and the preprocessed data is transmitted to a workshop environment monitoring module, so that the temperature and humidity environment of a satellite assembly workshop can be monitored in real time, and abnormal conditions can be found in time.
Preferably, the device data acquisition and storage module acquires device data on a satellite assembly production line in a manner of flexibly combining real-time data acquisition and offline data acquisition to obtain original device data;
and carrying out security encryption processing on the original equipment data and storing the original equipment data in a database.
Preferably, the data processing module comprises a plurality of types of data processing services: the system comprises a data query service, a data filtering service, a data loading service, a data global refreshing service, a data intelligent interpretation service and a data report exporting service;
the data processing service is associated with the equipment virtual model and is used for driving the equipment virtual model to realize a specific application scene.
Preferably, the equipment monitoring module is connected with the data processing module, and the processed data is used as the input of monitoring service to perform online real-time monitoring on the on-off state, real-time motion parameters, key detection data and fault alarm of the equipment;
the equipment monitoring module comprises a manufacturing equipment monitoring unit, a testing equipment monitoring unit, a precision testing equipment monitoring unit and a logistics equipment monitoring unit;
the monitoring service comprises a full set data refreshing service, an equipment connection state intelligent judging service, a real-time data display service, a historical data display service and a fault alarm service.
Preferably, the task monitoring module is connected with the data processing module, and the processed data is used as the input of an executable control to monitor the manufacturing and assembling task progress of each equipment unit on the satellite assembling production line;
the task monitoring module is associated with specific models, products, stages, units, task names, operators, task starting time, task predicted completion time and task actual completion time, and displays the completion states of tasks in a visual form of a curve graph, a bar graph and a data table, wherein the task state display comprises any one or any combination of the total number of tasks, the number of completed tasks, the number of uncompleted tasks, the current tasks and the like;
the executable control is used for local or global loading of data and comprises any one or any combination of a chart type control, a button type control and a text type control.
Preferably, the workshop environment monitoring module is connected with the data processing module, and the processed data is used as the input of the environment monitoring service to realize the monitoring of the temperature, the humidity and the pressure in the assembly workshop environment;
the environment monitoring service comprises a temperature monitoring service, a humidity monitoring service and a pressure monitoring service, each service is matched with a corresponding environment data processing criterion, and if the real-time data of the workshop environment is lower than a set value, an alarm message is sent out and a workshop administrator is informed to check the equipment.
The invention provides a satellite final assembly equipment internet of things management method, which comprises the following steps:
step 1: acquiring equipment data of precision measurement, quality characteristic test and automatic tooling based on the industrial Internet of things;
step 2: the relational database is used as an external connection database of the industrial Internet of things platform, a table space, a database table and a corresponding data protection mechanism are established, and the equipment integration data is uniformly stored and managed;
and step 3: constructing an equipment virtual model by using a menu type control, a text type control and an icon type control through a polymerization page construction engine embedded in an industrial Internet of things platform, wherein the equipment virtual model comprises attribute information and visual display interface information of equipment;
and 4, step 4: the method comprises the steps that a data query service, a data filtering service, a data loading service, a data global refreshing service, a data intelligent interpretation service and a data report exporting service are constructed through a data driving execution engine embedded in an industrial Internet of things platform;
and 5: defining a control service triggering logic relation of the equipment, and realizing the association matching between the virtual model of the equipment and the data service;
step 6: the method comprises the steps of establishing a trigger event according to online visual monitoring requirements of equipment, realizing online real-time monitoring of the connection state, the running state and key parameters of the equipment on a satellite assembly production line, realizing online monitoring of tasks, and realizing real-time monitoring of the temperature, humidity and pressure of an assembly workshop.
Preferably, the data acquisition mode includes: the method comprises a real-time data acquisition mode of programmable logic controller data and sensor data and an off-line data acquisition mode of structured data documents of Excel and Access.
Preferably, the virtual model of the equipment is created through various types of controls, including a data sheet control, an LED display control and a text box control, and the data service is written based on JS language in the background;
the association matching is realized by coordinating the logic sequence of each data service, and triggering the corresponding data service by the background when the corresponding control is clicked, so that the display of a specific function is realized.
Compared with the prior art, the invention has the following beneficial effects: the invention realizes the integration of the Internet of things of various types of equipment such as precision measurement, quality characteristic test, automatic tooling and the like in the satellite final assembly process, integrates the real-time acquisition and offline acquisition functions of equipment data, simultaneously realizes the functions of safe and reliable storage and management of data, intelligent interpretation of data, online real-time monitoring of equipment and the like, can effectively meet the requirements of accurate, complete and efficient acquisition and effective management of data in the current satellite discrete development mode, and has important significance for realizing the refined management of model product manufacturing resources, the construction of product data packets, the quality and technical state management and the like.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
fig. 1 is a flowchart illustrating steps of a data integration and application method for a satellite final assembly device according to an embodiment of the present invention;
FIG. 2 is a flow chart of the online intelligent interpretation of the satellite final assembly inspection data provided by the embodiment of the invention;
fig. 3 is a flowchart of a method for remotely monitoring the satellite final assembly equipment in real time according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an internet of things management system of satellite final assembly equipment according to an embodiment of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
Example (b):
referring to fig. 1, a flow chart of a data integration and application method of a satellite final assembly device is shown, the method includes the following steps:
step 1.1: the data acquisition of the satellite final assembly process equipment based on the Internet of things comprises real-time data acquisition, offline data acquisition and data source file associated storage.
The equipment data comprises product precision measurement data, quality characteristic test data and automatic assembly data. According to different storage modes of equipment data, the data acquisition mode can be divided into real-time data acquisition, offline data acquisition and data source file associated storage.
Preferably, the real-time data acquisition comprises acquisition of Programmable Logic Controller (PLC), high precision tilt sensor data. The data acquisition period is set to be 100ms through a unified IP address and UDP (user Datagram protocol) and TCP/IP (transmission control protocol/Internet protocol) data communication protocol, so that the acquisition of the data of the mechanical arm auxiliary assembly equipment, the data of the satellite attitude adjustment equipment and the data of the satellite precision docking equipment is realized;
preferably, the offline data collection comprises collection of Access database and Excel structured document data. The method comprises the steps that a data acquisition cycle is set to be 12h based on an Ethernet data communication mode of TCP/IP, and data acquisition of quality characteristic testing equipment data, high-precision online measuring equipment and cable detection equipment is achieved;
preferably, the data source file associated storage comprises associated storage of data documents such as Word, PDF, TXT, unr, CSV, and the like. Setting a local shared data folder of the equipment based on an Ethernet data communication mode of TCP/IP, wherein the data synchronization period is 12h, and realizing the associated storage of the file attribute information such as the name, the modification time, the storage position and the like of the data file of the equipment;
step 1.2: and uniformly storing and managing the equipment data in the satellite final assembly process based on the relational database.
And analyzing according to the equipment Internet of things integrated data composition elements to construct a multi-dimensional data organization model. The multi-dimensional data organization model includes an organization structure dimension, a data classification dimension, and a data format dimension.
Preferably, the organization structure dimension includes tree structure hierarchies such as model, product stage, system unit, device type, specific device name, etc.;
preferably, the data classification dimension includes static data, dynamic data, and statistical data. The static data comprises default system parameters, preset parameters and the like of the equipment; the dynamic data comprises data which continuously change along with time, such as real-time parameters of a sensor, parameters of a measuring process and the like; the statistical data includes data obtained by computational analysis, such as measurement result data of errors, detection precision and the like;
preferably, the data format dimension includes structured data and unstructured data. The structured data comprises a relational database table, a fixed-format EXCEL file, real-time stream data and the like; the unstructured data mainly includes PDF, WORD, TXT, multimedia data, and the like.
Step 1.3: defining data services in various forms such as a data query service, a data filtering service, a data loading service, a data global refreshing service, a data intelligent interpretation service, a data report exporting service and the like according to a specific application scene;
step 1.4: in an industrial Internet of things platform, constructing an equipment virtual model, and performing association matching with data services;
preferably, the virtual model of the equipment is constructed by a functional module embedded in the industrial internet of things platform, and includes attribute information and visual display interface information of the equipment. The attribute information comprises one or a combination of a plurality of information such as the type, name, location and the like of the virtual equipment; the visual display interface is organized and deployed through various controls such as a Panel control, a Grid control, an Export control, a Text control, a Button control and a Chart control.
Preferably, the device virtual model and the data service are in a one-to-one correspondence relationship, and the data service is used for driving the device virtual model to move, so that specific application scenarios such as device online monitoring, task monitoring and workshop environment monitoring are realized.
Step 1.5: based on an industrial internet platform, the deployment and implementation of functional modules such as on-line real-time monitoring of equipment, task monitoring of manufacturing and assembling units, environmental monitoring of final assembly workshops and the like are carried out.
Preferably, the on-line real-time monitoring of the equipment comprises on-line real-time monitoring of functions of connection state of the equipment, real-time motion parameters of the equipment, key detection data of the equipment, fault alarm and the like; the manufacturing and assembling unit task monitoring comprises specific type, product, stage, unit, task name, operator, task start time, task predicted completion time, task actual completion time and other attribute information, wherein the attribute information comprises the total number of tasks, the number of completed tasks, the number of uncompleted tasks, the current task and the like; the final assembly workshop environment monitoring comprises monitoring of workshop temperature, humidity and pressure environment.
Fig. 2 is a flow chart of online intelligent interpretation of detection data in a satellite assembly process. In this embodiment, an online intelligent interpretation method for detection data is introduced in combination with an application scenario of analysis and utilization of data in a satellite final assembly process. The method comprises the following steps:
step 2.1: and setting a data interpretation rule in an intelligent interpretation module of the equipment Internet of things management system in the satellite final assembly process.
In this step, different interpretation rules are set according to specific device types, which mainly include a threshold interval for detecting data correctness, a data integrity check rule, a device detection period and a frequency compliance rule, and the like. For example, the data interpretation rule of the cable detection equipment is set, and theoretical value reference standard rules, test result evaluation rules (pass or fail) and data integrity check rules (the number of detection items, the number of specific parameters and the like) of the parameters are formulated according to conduction test parameters (cable resistance and cable test range) and insulation and voltage resistance test parameters (insulation voltage, insulation resistance and voltage resistance power supply). Therefore, the detailed interpretation rule of the data of the cable detection equipment is as follows: the range of the theoretical value interval of the cable resistance is 0.0 omega and 2.0 omega, the theoretical value of the cable test range is 10.0k omega, the theoretical value of the insulation voltage is 500VDC, the theoretical value of the insulation resistance is 200M omega, the maximum number of cable joints is 10, the minimum number of measurement parameters is 22, the qualified parameters are marked in green, and the unqualified parameters are marked in red.
Step 2.2: the industrial Internet of things platform extracts data of each equipment terminal through the service terminal and sends the data to the intelligent data interpretation module;
the server refers to a Service development module of an industrial Internet of things platform, and can read and load real-time streaming data and offline data;
step 2.3: and automatically interpreting the loaded detection data based on the industrial Internet of things platform.
In the step, based on a parameter attribute setting module of an industrial Internet of things platform, rule matching is carried out on detection data of each device; and when the data is detected to be input, judging the correctness of the data by using a configured judgment rule. When the data interpretation rule changes, only the attribute information corresponding to the specific data field in the interface needs to be modified, and the changed data interpretation environment can be adapted. Therefore, the method can quickly, conveniently and flexibly adapt to the requirement of the changed data interpretation. If the actual measurement parameter of the cable resistance value in the cable detection data is 0.6 omega, the theoretical specified value is less than 2.0 omega, so that the detection data can be judged to be qualified, and the detection result is output to be passed. For cable detection data interpretation of different specifications and models, only the correlation attribute of the cable resistance in the interface of the Internet of things system needs to be changed.
Step 2.4: and (4) confirming and storing the interpretation result of the detection data, and supporting the output of an interpretation result report.
In the step, the final detection data interpretation result is stored based on the Service of the industrial Internet of things platform, and the interpretation result and the detection data are stored in a correlation manner; meanwhile, the platform supports structured output of detection reports, and records detailed parameters such as measured values, theoretical values and detection results of detection data of each device in detail.
Referring to fig. 3, a flow chart of an online real-time monitoring method for a satellite final assembly process device is shown, the method includes the following steps:
step 3.1: taking data such as equipment measurement data, Programmable Logic Controller (PLC) data, sensor data and the like as original data created by remote monitoring service;
in the step, the device measurement data types comprise high-precision measurement device data, electronic theodolite device data, quality characteristic test data and the like, main data contents comprise cube collimation data, mass center, rotational inertia data and the like, the data acquisition mode is an off-line data acquisition mode, and the data acquisition period is 12 h; the data types of the PLC controllers comprise FX5U-64MT/ES type PLC controller data of satellite attitude adjusting equipment and S7-1200 type PLC controller data of precision docking equipment, main data contents comprise azimuth rotation angles, speeds, accelerations, pitching rotation angles, speeds, accelerations and the like, the data acquisition mode is a real-time data acquisition mode, and the data acquisition period is 100 ms; the sensor data types comprise high-precision tilt angle sensor data, temperature sensor data and the like, main data contents comprise horizontal tilt angles, vertical tilt angles, motor temperature data and the like, the data acquisition mode is a real-time data acquisition mode, and the data acquisition period is 100 ms.
Step 3.2: an engine is built through an industrial Internet of things platform aggregation page, and a virtual model of equipment is built;
in this step, the aggregation page construction engine is a functional module embedded in the industrial internet of things platform, and can set attribute information and visual display interface information of the virtual equipment. The attribute information comprises information such as the type, name, location and the like of the virtual equipment; the visual display interface is organized and deployed through various forms of controls, and the controls comprise a Panel control, a Grid control, an Export control, a Text control, a Button control, a Chart control and the like. According to the mode, a visual interface with an image display area and a data display area is formed, wherein the image display area comprises an equipment image, a curve, a histogram, a pie chart, a temperature and humidity instrument panel and the like, and the data display area comprises a historical data table, a real-time data display table and the like.
Step 3.3: defining data service based on a data driving execution engine of an industrial Internet of things platform;
in the step, the data driving execution engine is a functional module embedded in the industrial internet of things platform and can process flow data and structured data; the data service mainly comprises a data loading service, a data preprocessing service, a data report export service and the like. The data loading service extracts a corresponding equipment data complete set in the form of an intermediate database table; the data preprocessing service is used for filtering a device data complete set according to a rule defined by a user and screening out key parameter data; the data report exporting service refers to exporting Excel files to part or all of data according to specific requirements of users.
Step 3.4: defining a control service triggering logic relation of the equipment, and realizing the association matching between the virtual model of the equipment and the data service;
in this step, the controls include a Panel control, a Grid control, an Export control, a Text control, a Button control, a Chart control, and the like. The Panel control is associated with global data refreshing service, when an equipment interface is opened, initialization is carried out, and the global data of the equipment is loaded by default; combining the Grid control with an intermediate database table data loading service, defaulting to synchronizing the historical data once every 2min, simultaneously associating the Grid control with an Export control, triggering a table data output function by a method of clicking the Export control, and forming an Excel file; the Text control and the Button control are associated with the key data display service, so that the global data can be filtered, and only necessary key information is displayed; the Chart control is associated with a real-time data display service or a statistical data display service, and displays a real-time change curve of a key parameter within a certain period of time in a graph visualization mode, or visually and statistically analyzes and displays historical, current and planned task data in a histogram visualization mode.
Step 3.5: and establishing a trigger event according to the online visual monitoring requirement of the equipment, and realizing online real-time monitoring of the connection state, the running state and the key parameters of the equipment.
In this step, the device connection state includes a power-on state and a power-off state of the device, and the device state icon in the system is green to indicate that the device is powered on and the icon is red to indicate that the device is powered off. The method comprises the steps that a monitoring program is installed on the local equipment, and is automatically opened after the system is started, and the program monitors whether the equipment is in an operating state through a system process, so that the starting and shutdown information of the equipment is obtained; the equipment operation state comprises normal and fault, the equipment icon in the system is in default color to represent that the equipment is in normal operation, and the equipment icon is in yellow to represent that the equipment is in fault; the key parameter online real-time monitoring means that data are displayed by utilizing visualization means such as a curve graph and a histogram. The workshop scheduling personnel can monitor the equipment on line through the Internet of things monitoring interface, and allocate and maintain the equipment on the satellite assembly production line in time, so that the utilization efficiency of the equipment is improved.
Fig. 4 is a schematic structural diagram of a satellite final assembly equipment internet of things management system, which mainly comprises an equipment data acquisition and storage module, a data processing module, an equipment monitoring module, a task monitoring module and a workshop environment monitoring module. The following are specifically explained below:
the data acquisition and storage module acquires equipment data on a satellite assembly production line in a real-time data acquisition mode and an off-line data acquisition mode to obtain original equipment data; and carrying out security encryption processing on the original equipment data and storing the original equipment data in a database.
Preferably, the data acquisition comprises a real-time data acquisition mode and an off-line data acquisition mode, the real-time data acquisition mode is mainly used for acquiring data such as Programmable Logic Controllers (PLCs) and sensor data, and the autonomous controllability of a data acquisition period can be realized through an industrial Internet of things platform, and is usually set to 100 ms; the off-line data acquisition mode is mainly used for data acquisition of structured data documents such as Excel, Access and the like, can realize the analysis of the data documents based on the SDK, generates data configuration files and is convenient for the configuration of parameters such as data acquisition period, equipment IP address and the like. The data storage is used for storing various types of data into an external connection database table, so that structured storage of original data is realized, and incremental addition of the data can be realized.
The data processing module is connected with the database, the equipment monitoring module, the task monitoring module and the workshop environment monitoring module and used for loading original data from the database, processing and analyzing the original data, transmitting the processed and analyzed data to each functional module and realizing online real-time monitoring of equipment, monitoring of tasks of manufacturing and assembling units and monitoring of the general assembly workshop environment.
Preferably, the data processing module includes predefined data processing services of multiple types, such as a data query service, a data filtering service, a data loading service, a data global refreshing service, a data intelligent interpretation service, a data report exporting service, and the like. The data processing service is associated with the equipment virtual model and is used for driving the equipment virtual model to realize a specific application scene. For example, the intelligent data interpretation service is used for intelligently interpreting key data such as cable detection data and quality characteristic test data. The intelligent data interpretation service presets a data interpretation rule, when data are loaded to the intelligent data interpretation service, the preset interpretation rule is used for interpreting the associated attributes of the data, such as threshold range, integrity and the like, if the associated attributes are qualified, the associated attributes are displayed as green, and if the associated attributes are not red. According to the requirements of quality inspectors, the detection result can be output as an Excel structured document or an unmodified PDF document.
The equipment monitoring module is used for monitoring the running states of various kinds of equipment in the final assembly workshop in an online and real-time manner. Classifying according to the equipment model, and dividing into a manufacturing equipment monitoring unit, a testing equipment monitoring unit, a precision testing equipment monitoring unit and a logistics equipment monitoring unit; constructing a visual monitoring interface for specific equipment in each unit, and carrying out online real-time monitoring on the on-off state (on-equipment head image is green/off-equipment head image is red), real-time motion parameters (sensor parameters/PLC (programmable logic controller) parameters and the like), key detection data and danger alarm (limit alarm, fault alarm and the like) of the equipment by adopting modes of image color change, control display and hiding and the like;
the task monitoring module is used for monitoring the manufacturing and assembling task progress of each equipment unit on the assembling production line. The task monitoring module is associated with specific attribute information such as a model, a product, a stage, a unit, a task name, an operator, task starting time, task predicted completion time, task actual completion time and the like, and displays the completion state of the task in various visual forms such as a curve graph, a histogram, a data table and the like, wherein the task state display comprises the total number of tasks, the number of completed tasks, the number of uncompleted tasks, the current task and the like. Meanwhile, according to different task types, a task state synchronization period is set and is divided into three types of 2min, 1h and 12 h;
and the workshop environment monitoring module is used for monitoring the temperature, the humidity and the pressure in the general assembly workshop environment. The satellite manufacturing and assembling process has extremely high requirements on the workshop environment, the temperature is kept between 23 ℃ and 25 ℃ throughout the year, the humidity is kept between 40% and 60% throughout the year, and the pressure is normal pressure. According to the requirements of the satellite assembly workshop environment on temperature, humidity and pressure, a workshop environment detection module is constructed, corresponding environmental data monitoring criteria are formulated, if the real-time data of the workshop environment is lower than a set value, an alarm is given, and a workshop administrator is informed to check the equipment.
Those skilled in the art will appreciate that, in addition to implementing the systems, apparatus, and various modules thereof provided by the present invention in purely computer readable program code, the same procedures can be implemented entirely by logically programming method steps such that the systems, apparatus, and various modules thereof are provided in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Therefore, the system, the device and the modules thereof provided by the present invention can be considered as a hardware component, and the modules included in the system, the device and the modules thereof for implementing various programs can also be considered as structures in the hardware component; modules for performing various functions may also be considered to be both software programs for performing the methods and structures within hardware components.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (10)
1. A satellite final assembly equipment thing allies oneself with management system, its characterized in that includes: the system comprises an equipment data acquisition and storage module, a database, a data processing module, an equipment monitoring module, a task monitoring module and a workshop environment monitoring module;
the device data acquisition and storage module is connected with various types of devices and databases on a satellite assembly production line and is used for acquiring device data on line or off line and storing the device data into the databases;
the data processing module is connected with the database, the equipment monitoring module, the task monitoring module and the workshop environment monitoring module, and is used for loading data from the database, preprocessing the data and transmitting the preprocessed data to the equipment monitoring module, the task monitoring module and the workshop environment monitoring module.
2. The satellite assembly equipment internet of things management system according to claim 1, wherein the preprocessing comprises screening of abnormal data values, integration of multi-source heterogeneous data and conversion of data types;
transmitting the preprocessed data to each functional module to realize data query, visual display and downloading;
transmitting the preprocessed data to an equipment monitoring module, and monitoring the equipment by an equipment monitoring billboard in real time to monitor the running state, the service condition and the fault mode of the equipment in real time;
transmitting the preprocessed data to a task monitoring module, displaying the completion condition of the task, and monitoring the task progress through the data displayed in the module;
and transmitting the preprocessed data to a workshop environment monitoring module, monitoring the temperature and humidity environment of a satellite assembly workshop in real time, and finding out abnormal conditions in time.
3. The system for managing the internet of things of the satellite assembly equipment according to claim 1, wherein the equipment data acquisition and storage module acquires the equipment data on the satellite assembly production line in a manner of flexibly combining real-time data acquisition and offline data acquisition to obtain original equipment data;
and carrying out security encryption processing on the original equipment data and storing the original equipment data in a database.
4. The satellite assembly equipment internet of things management system of claim 1, wherein the data processing module comprises a plurality of types of data processing services: the system comprises a data query service, a data filtering service, a data loading service, a data global refreshing service, a data intelligent interpretation service and a data report exporting service;
the data processing service is associated with the equipment virtual model and is used for driving the equipment virtual model to realize a specific application scene.
5. The system for managing the internet of things of the satellite final assembly equipment according to claim 1, wherein the equipment monitoring module is connected with the data processing module, and the processed data is used as the input of monitoring service to perform online real-time monitoring on the on-off state, real-time motion parameters, key detection data and fault alarm of the equipment;
the equipment monitoring module comprises a manufacturing equipment monitoring unit, a testing equipment monitoring unit, a precision testing equipment monitoring unit and a logistics equipment monitoring unit;
the monitoring service comprises a full set data refreshing service, an equipment connection state intelligent judging service, a real-time data display service, a historical data display service and a fault alarm service.
6. The system for managing the internet of things of the satellite final assembly equipment according to claim 1, wherein the task monitoring module is connected with the data processing module, and the processed data is used as the input of an executable control to realize the monitoring of the manufacturing and assembling task progress of each equipment unit on the satellite assembly production line;
the task monitoring module is associated with specific models, products, stages, units, task names, operators, task starting time, task predicted completion time and task actual completion time, and displays the completion states of tasks in a visual form of a curve graph, a bar graph and a data table, wherein the task state display comprises any one or any combination of the total number of tasks, the number of completed tasks, the number of uncompleted tasks, the current tasks and the like;
the executable control is used for local or global loading of data and comprises any one or any combination of a chart type control, a button type control and a text type control.
7. The system for managing the satellite final assembly equipment in the internet of things according to claim 1, wherein the workshop environment monitoring module is connected with the data processing module, and the processed data is used as the input of an environment monitoring service to realize the monitoring of the temperature, the humidity and the pressure in the final assembly workshop environment;
the environment monitoring service comprises a temperature monitoring service, a humidity monitoring service and a pressure monitoring service, each service is matched with a corresponding environment data processing criterion, and if the real-time data of the workshop environment is lower than a set value, an alarm message is sent out and a workshop administrator is informed to check the equipment.
8. A method for managing the satellite assembly equipment in an internet of things manner, which is characterized in that the method for managing the satellite assembly equipment in the internet of things manner as claimed in any one or more of claims 1 to 7 is adopted, and comprises the following steps:
step 1: acquiring equipment data of precision measurement, quality characteristic test and automatic tooling based on the industrial Internet of things;
step 2: the relational database is used as an external connection database of the industrial Internet of things platform, a table space, a database table and a corresponding data protection mechanism are established, and the equipment integration data is uniformly stored and managed;
and step 3: constructing an equipment virtual model by using a menu type control, a text type control and an icon type control through a polymerization page construction engine embedded in an industrial Internet of things platform, wherein the equipment virtual model comprises attribute information and visual display interface information of equipment;
and 4, step 4: the method comprises the steps that a data query service, a data filtering service, a data loading service, a data global refreshing service, a data intelligent interpretation service and a data report exporting service are constructed through a data driving execution engine embedded in an industrial Internet of things platform;
and 5: defining a control service triggering logic relation of the equipment, and realizing the association matching between the virtual model of the equipment and the data service;
step 6: the method comprises the steps of establishing a trigger event according to online visual monitoring requirements of equipment, realizing online real-time monitoring of the connection state, the running state and key parameters of the equipment on a satellite assembly production line, realizing online monitoring of tasks, and realizing real-time monitoring of the temperature, humidity and pressure of an assembly workshop.
9. The method for managing the internet of things of the satellite assembly equipment according to claim 8, wherein the data acquisition mode comprises the following steps: the method comprises a real-time data acquisition mode of programmable logic controller data and sensor data and an off-line data acquisition mode of structured data documents of Excel and Access.
10. The method for managing the satellite assembly equipment in the internet of things according to claim 8, wherein the equipment virtual model is created through various types of controls including a data sheet control, an LED display control and a text box control, and the data service is written based on JS language in the background;
the association matching is realized by coordinating the logic sequence of each data service, and triggering the corresponding data service by the background when the corresponding control is clicked, so that the display of a specific function is realized.
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