CN109491346B - Data acquisition box and intelligent manufacturing-oriented industrial big data acquisition method - Google Patents
Data acquisition box and intelligent manufacturing-oriented industrial big data acquisition method Download PDFInfo
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- CN109491346B CN109491346B CN201811532587.5A CN201811532587A CN109491346B CN 109491346 B CN109491346 B CN 109491346B CN 201811532587 A CN201811532587 A CN 201811532587A CN 109491346 B CN109491346 B CN 109491346B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31457—Factory remote control, monitoring through internet
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention relates to a data acquisition box and an industrial big data acquisition method oriented to intelligent manufacturing. The industrial big data acquisition method adopts the data acquisition box to connect a plurality of non-wiring acquisition sensors with the data processing cloud platform at the far end in a communication way. The invention solves the problem of safe and reliable acquisition of the equipment, can accurately acquire and upload the working condition of the equipment, and counts the working condition and the state of the equipment, thereby analyzing and making a scheme capable of improving the utilization rate and the working stability of the equipment.
Description
Technical Field
The invention relates to the technical field of industrial manufacturing management, in particular to a data acquisition box and an industrial big data acquisition method for intelligent manufacturing.
Background
In the field of industrial manufacturing, in order to improve product performance, improve process flow and reasonably save cost, the traditional method takes the characteristics of a known object as a research premise and then performs closed-loop control according to the characteristics of the object, so that the output characteristics meet requirements. However, the actual industrial equipment system is too complex, and has no corresponding theoretical knowledge research and big data support, the behavior characteristics of the industrial equipment system cannot be well mastered, and the traditional research method cannot play a good role, for example, the equipment can be adjusted and configured by monitoring and counting the working state of each piece of equipment in real time, so that the improvement of the whole working efficiency and the equipment stability is realized.
Disclosure of Invention
The invention aims to provide a data acquisition box, which solves the problem of safe and reliable acquisition of equipment, and can accurately acquire the working condition of the equipment and upload the working condition.
Another objective of the present invention is to provide an industrial big data collection method for intelligent manufacturing, in which a data collection box connects a collection sensor of a monitoring device in series with a data processing cloud platform, so as to count the working condition and state of the device, and analyze and make a scheme capable of improving the utilization rate and working stability of the device.
In order to achieve the purpose, the invention adopts the technical scheme that:
the invention provides a data acquisition box, which comprises an embedded processor, a communication unit and a safety encryption unit, wherein the communication unit and the safety encryption unit are respectively in communication connection with the embedded processor, a plurality of signal acquisition interfaces and signal interaction interfaces are arranged in the data acquisition box, the signal acquisition interfaces and the signal interaction interfaces are respectively connected with the embedded processor, and the safety encryption unit adopts a data serial encryption technology to respectively connect acquired signal data and communication control data with an encryption and decryption module through serial ports.
Further, the plurality of signal acquisition interfaces include one or more of a low-frequency signal acquisition interface, a high-frequency signal acquisition interface, a bus acquisition interface, and a network interface acquisition interface.
Further, the communication unit comprises at least one of a GPRS module, a WIFI module and a Beidou data transmission module.
Furthermore, the data acquisition box is also provided with an analog signal interface and a digital signal interface which are connected with the embedded processor.
Particularly, the invention also provides an industrial big data acquisition method for intelligent manufacturing, which comprises a plurality of non-wiring type acquisition sensors, wherein the acquisition sensors are respectively connected with the data acquisition box, and the data acquisition box is in communication connection with the remote data processing cloud platform, wherein the data acquisition box is as described above.
Further, the acquisition sensor comprises one or more of a thermosensitive sensor, a humidity sensor, a photoresistor, a voltage transformer, a current transformer, a Hall sensor, a reed switch, a gas sensor and a displacement sensor.
Furthermore, in the data acquisition box, the safety encryption unit adopts a data serial encryption technology to physically separate a signal processing center for processing acquired signal data from a data processing center for processing communication control data, and the signal processing center and the data processing center are in communication connection with the encryption and decryption module through serial interfaces respectively.
Furthermore, the data processing cloud platform is configured with a management interface for configuring registered enterprise users, allowing registered and confirmed enterprises to perform classification and arrangement on devices to be accessed and data points to be collected, and performing statistics on working conditions and working states of the devices in the data processing cloud platform.
Furthermore, an analysis report of the equipment utilization rate, the equipment energy consumption analysis and the equipment working rationality is generated in the data processing cloud platform according to the statistics of the working conditions and the working states of the equipment.
Due to the application of the technical scheme, compared with the prior art, the invention has the following advantages:
the data acquisition box has simple integral hardware architecture, and simultaneously physically separates the data acquisition processing center from the communication control data processing center, thereby ensuring the safety and reliability of data transmission, preventing data crosstalk and data leakage and improving the working reliability of equipment.
Furthermore, the industrial big data acquisition method facing intelligent manufacturing is based on the characteristics of equipment in intelligent manufacturing, statistical analysis can be carried out according to the acquired working conditions and states of the equipment, a user is helped to know the rationality condition of the production process, a rationalized equipment use scheme is further worked out, and the equipment utilization rate and the working efficiency are improved.
Drawings
Some specific embodiments of the invention will be described in detail hereinafter, by way of illustration and not limitation, with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar elements or components. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale. In the drawings:
FIG. 1 is a functional block diagram of a data collection box according to one embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Example 1:
the embodiment provides a data acquisition box, as shown in fig. 1, which includes an embedded ARM processor, and a plurality of signal acquisition interfaces are disposed in the data acquisition box, where the plurality of signal acquisition interfaces include a low-frequency signal acquisition interface, a high-frequency signal acquisition interface, a bus acquisition interface, and a network interface acquisition interface, and the data acquisition box is further provided with an analog signal interface, a digital signal interface, a human-computer interaction interface, an expansion interface, and the like, which are connected to the embedded processor.
Still be equipped with communication unit and safe encryption unit in the data processing box, communication unit includes thing networking GPRS module, thing networking WIFI module and big dipper data transmission module, and safe encryption unit adopts the data serial encryption technique, and the signal data and the communication control data that will gather are connected with encryption/decryption module through the serial ports respectively.
The Beidou communication is adopted by the Beidou data transmission module, so that the Beidou data transmission module is completely independently controllable, the safe and reliable data transmission can be realized without the help of the Internet, the Beidou data transmission module can be used as a communication mode of safe transmission for users to independently select, and the privacy is stronger without the help of a public network.
The safety encryption unit is used for physically separating a signal processing center for acquiring sensor data and then processing signals and a data processing center for managing communication control data according to a serial encryption technology, and the signal processing center and the data processing center are connected with the data encryption and decryption module through a serial port UART. In order to ensure the safety and reliability of data transmission and prevent data leakage, the communication data formats of the signal processing center and the encryption and decryption module are appointed, so that all data interacted with the outside are encrypted in a single direction, and the safety is higher.
The data acquisition box has simple integral hardware architecture, and simultaneously physically separates the data acquisition processing center from the communication control data processing center, thereby ensuring the safety and reliability of data transmission, preventing data crosstalk and data leakage and improving the working reliability of equipment.
Example 2:
the embodiment provides an industrial big data acquisition method for intelligent manufacturing, which comprises a plurality of non-wiring type acquisition sensors, wherein the acquisition sensors are respectively connected with a data acquisition box, the data acquisition box is in communication connection with a remote data processing cloud platform, the data acquisition box is as in embodiment 1, in the data acquisition box, a safety encryption unit adopts a data serial encryption technology, a signal processing center for processing acquired signal data is physically separated from a data processing center for processing communication control data, and the signal processing center and the data processing center are in communication connection with an encryption and decryption module through a serial port interface.
Further, the acquisition sensor comprises one or more of a thermosensitive sensor, a humidity sensor, a photoresistor, a voltage transformer, a current transformer, a Hall sensor, a reed switch, a gas sensor and a displacement sensor. The system comprises a heat sensitive sensing monitoring core component, a humidity sensor, a light sensitive resistor, a voltage transformer, a current transformer, a Hall sensor, a reed switch detection relay closing and opening state, a gas sensitive sensor, a displacement sensor and the like, wherein the temperature of the core component is monitored through heat sensitive sensing, the humidity sensor measures humidity, the light sensitive resistor measures luminous intensity, the voltage transformer measures machine voltage, the current transformer measures machine current, the Hall sensor measures rotating speed yield, the reed switch detection relay closing and opening. The acquired data is collected and packaged in a data processing cloud platform transmitted to a remote end through a data acquisition box connected with the sensor.
And a management interface is configured in the data processing cloud platform and is used for configuring and registering enterprise users, allowing registered and confirmed enterprises to perform classification and arrangement on equipment to be accessed and data points to be collected, and performing statistics on working conditions and working states of each equipment in the data processing cloud platform.
That is, a user may register enterprise users on the data processing cloud platform and may configure devices under each enterprise user. When a registered enterprise user on a platform performs data processing cloud platform of equipment access in an industrial Internet of things big data system, equipment (such as equipment model, equipment type and the like) to be accessed and data points to be collected need to be classified and sorted, and a recommended equipment access path is as follows: determining the model of the access equipment, determining the data acquisition point of each model of equipment, determining the display name of the data acquisition point of each model of equipment and the identification name (record name) of data uploading, determining the number of equipment under each model, importing the equipment or creating the equipment in a platform, creating a corresponding data measurement point and service after the equipment is created, calling an equipment data interface, and checking the data access condition of the equipment by using a signboard function.
And under the condition of continuous sensing data acquisition, generating an analysis report of equipment utilization rate, equipment energy consumption analysis and equipment working rationality in the data processing cloud platform according to statistics of working conditions and working states of each piece of equipment.
Analysis report generated by emphasis analysis reports obtained by statistical analysis comprise:
1. and analyzing the utilization rate of the machine, and mastering the production state of the current workshop in real time when the machine tool is started, standby, machined, shut down or in fault.
2. And analyzing the energy consumption of the equipment and rationalizing a power distribution scheme.
3. And acquiring the process parameters of the workpieces and the time consumption condition of a single workpiece, and mastering the production progress of each work order in real time.
4. Analysis process rationality, operation mode, feed magnification, spindle parameters (load, magnification, speed), XYZ servo axis parameters (speed, load/power) mechanical, offset coordinates.
The data parameters such as the current, the temperature, the pressure and the like are displayed on the interface in a line graph form, so that a user can be helped to know the actual processing technological parameters in the production process, and a related data report is generated according to the collected parameter information so that the user can be helped to know the reasonability of the production process data. The method is characterized in that the method for acquiring the industrial big data oriented to the intelligent manufacturing is based on the characteristics of equipment in the intelligent manufacturing, statistical analysis can be carried out according to the acquired working condition and state of the equipment, a user is helped to know the rationality condition of the production process, a rationalization equipment use scheme is further made, and the equipment utilization rate and the working efficiency are improved.
The above embodiments are merely illustrative of the technical concept and features of the present invention, and the purpose thereof is to enable those skilled in the art to understand the content of the present invention and implement the invention, and not to limit the scope of the invention, and all equivalent changes or modifications made according to the spirit of the present invention should be covered by the scope of the present invention.
Claims (3)
1. The industrial big data acquisition method oriented to intelligent manufacturing is characterized by comprising a plurality of non-wiring type acquisition sensors, wherein the acquisition sensors are respectively connected with a data acquisition box, the data acquisition box is in communication connection with a remote data processing cloud platform, the data acquisition box comprises an embedded processor, a communication unit and a safety encryption unit, the communication unit and the safety encryption unit are respectively in communication connection with the embedded processor, a plurality of signal acquisition interfaces and signal interaction interfaces are arranged in the data acquisition box and are respectively connected with the embedded processor, the safety encryption unit adopts a data serial encryption technology to respectively connect acquired signal data and communication control data with an encryption and decryption module through serial ports, and the signal acquisition interfaces comprise low-frequency signal acquisition interfaces, The communication unit comprises at least one of a GPRS module, a WIFI module and a Beidou data transmission module, and the data acquisition box is also provided with an analog signal interface and a digital signal interface which are connected with the embedded processor;
in the data acquisition box, a safety encryption unit adopts a data serial encryption technology to physically separate a signal processing center for processing acquired signal data from a data processing center for processing communication control data, and the signal processing center and the data processing center are respectively in communication connection with an encryption and decryption module through serial interfaces;
the data processing cloud platform is provided with a management interface for configuring and registering enterprise users, equipment to be accessed and data points to be collected are classified and arranged for the registered and confirmed enterprises, and the data processing cloud platform is used for counting the working conditions and working states of the equipment.
2. The industrial big data acquisition method according to claim 1, wherein the acquisition sensor comprises one or more of a thermal sensor, a humidity sensor, a photoresistor, a voltage transformer, a current transformer, a hall sensor, a reed switch, a gas sensor, and a displacement sensor.
3. The industrial big data acquisition method according to claim 1, wherein an analysis report of equipment utilization rate, equipment energy consumption analysis and equipment working rationality is generated in the data processing cloud platform according to statistics of working conditions and working states of each piece of equipment.
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