A system and method for collecting multi-source heterogeneous data at a workshop site

Abstract

The embodiment of the present invention discloses a system and method for collecting multi-source heterogeneous data at a workshop site, which relates to the field of intelligent manufacturing technology, and can improve the collection and application capabilities of workshop site data, so that workshop equipment such as machine tools can be put into workshop production at the fastest speed. The present invention includes: the collection system is composed of a collection module, a management module and a storage module; each distributed management module is connected to a centralized management module, and the centralized management module is connected to a centralized storage module; the storage module includes a centralized storage module and at least two distributed storage modules, and a distributed storage module corresponds to and is connected to a distributed management module; each distributed management module is connected to a collection module, and the collection module is connected to a sensor unit, which is installed on the equipment to be collected at the workshop site, and reads the sensor data sent by the sensor unit and the operation data of the equipment to be collected.

Description

Technical Field

[0001] The present invention relates to the field of intelligent manufacturing technology, and in particular to a system and method for collecting multi-source heterogeneous data on a workshop site. Background Art

[0002] The underlying manufacturing resources are the foundation of the entire intelligent manufacturing system. Effective collection, transmission and processing of data in the production process are of great significance to the intelligent manufacturing system. The rational decision-making and reasonable scheduling of the system to achieve optimal control of manufacturing resources and services are highly dependent on data. Data can be said to be the foundation for the intelligent manufacturing system to achieve intelligence. In the entire life cycle of the product in the intelligent manufacturing system, many factors are mainly involved, such as production equipment, material equipment, materials, operators, and production environment. Therefore, it is necessary to collect data from multiple aspects and levels in the underlying manufacturing resources of the workshop, and provide real-time production information to the management and decision-making level of the workshop.

[0003] The data collection system of the manufacturing workshop needs to collect multi-source heterogeneous data with different data sources, different transmission protocols, different transmission interfaces, and uncertain number of devices. The traditional workshop on-site data collection system is slow to adjust to the changing data collection needs, takes a long time to adjust, has high adjustment costs, and is difficult to configure quickly.

[0004] Therefore, how to solve the shortcomings of traditional data acquisition systems and improve the ability to collect and apply on-site data in the workshop so that machine tools and other workshop equipment can be put into workshop production as quickly as possible has become a problem that requires further research. Summary of the invention

[0005] The embodiments of the present invention provide a system and method for collecting multi-source heterogeneous data at a workshop site, which can improve the collection and application capabilities of the workshop's on-site data, allowing workshop equipment such as machine tools to be put into workshop production at the fastest speed.

[0006] To achieve the above object, the embodiments of the present invention adopt the following technical solutions:

[0007] In a first aspect, an embodiment of the present invention provides a system, comprising:

[0008] The acquisition system is composed of acquisition modules, management modules and storage modules;

[0009] The management module includes a centralized management module and at least two distributed management modules, and each distributed management module is connected to the centralized management module, and the centralized management module is connected to the centralized storage module;

[0010] The storage class module includes a centralized storage module and at least two distributed storage modules, and a distributed storage module corresponds to and is connected to a distributed management module;

[0011] Each distributed management module establishes a connection with a collection module, and the collection module is connected to a sensor unit. The sensor unit is installed on the equipment to be collected at the workshop site. The collection module is used to read the sensor data emitted by the sensor unit and the operating data of the equipment to be collected.

[0012] In a second aspect, an embodiment of the present invention provides a method comprising:

[0013] S1. Reading sensor data reported by the sensor unit through the acquisition module;

[0014] S2, the distributed management module uses the sensor registration information, the device registration information and the personnel registration information to bind the sensor data to information resources;

[0015] S3, the management module collects sensor data and processes the data in an event-driven manner;

[0016] S4, the distributed management module stores the results of S2 and S3 in the distributed storage module;

[0017] A set of devices to be collected is connected to each device area, and the collection module establishes communication with the sensor units installed on the set of devices to be collected through a preset data transmission method.

[0018] The embodiment of the present invention provides a system and method for collecting multi-source heterogeneous data on a workshop site.

[0019] Each distributed management module is connected to a collection module, which is connected to a sensor unit installed on the equipment to be collected at the workshop site. The collection module is used to read the sensor data sent by the sensor unit and the operating data of the equipment to be collected, thereby realizing modular and intelligent packaging of the workshop data collection unit.

[0020] In addition, the management module includes a centralized management module and at least two distributed management modules, and each distributed management module is connected to the centralized management module, and the centralized management module is connected to the centralized storage module; the storage module includes a centralized storage module and at least two distributed storage modules, and a distributed storage module corresponds to and establishes a connection with a distributed management module; that is, for each workshop equipment, a set of distributed management modules + distributed storage modules are established, and the equipment access is achieved through the modular and intelligently packaged collection module, so that the workshop equipment can be quickly plugged in and out, thereby realizing the rapid deployment of workshop equipment, better coping with the collection of different data in the workshop, and improving the data collection capabilities of the workshop, thereby ensuring the capabilities of the workshop management and decision-making level in resource management, workshop production and transportation scheduling, and production process monitoring.

[0021] Finally, the rapid configuration of the multi-source heterogeneous data acquisition system was achieved, so as to further realize the plug-and-play and rapid data acquisition of equipment in the workshop, so that machine tools and other workshop equipment can be put into workshop production as quickly as possible, and the on-site data collection and application capabilities of the workshop can be improved, thereby solving the shortcomings of the traditional data acquisition system and improving the on-site data collection and application capabilities of the workshop, so that machine tools and other workshop equipment can be put into workshop production as quickly as possible. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 A schematic diagram of an industrial software architecture for multi-source heterogeneous data collection at a workshop site in a specific example provided by an embodiment of the present invention;

[0024] Figure 2 A schematic diagram of a workshop data processing flow in a specific example provided in an embodiment of the present invention;

[0025] Figure 3 A schematic diagram of a system architecture provided by an embodiment of the present invention;

[0026] Figure 4 A schematic diagram of a method flow chart provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. The embodiments of the present invention will be described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be interpreted as limiting the present invention. It can be understood by those skilled in the art that, unless specifically stated, the singular forms "one", "one", "said" and "the" used herein may also include plural forms. It should be further understood that the term "including" used in the specification of the present invention refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or their groups. It should be understood that when we say that an element is "connected" or "coupled" to another element, it can be directly connected or coupled to other elements, or there may also be intermediate elements. In addition, the "connection" or "coupling" used here may include wireless connection or coupling. The term "and / or" used herein includes any unit and all combinations of one or more associated listed items. It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meaning as generally understood by those of ordinary skill in the art to which the present invention belongs. It should also be understood that terms such as those defined in general dictionaries should be understood to have meanings consistent with the meanings in the context of the prior art, and will not be interpreted with idealized or overly formal meanings unless defined as herein.

[0028] The main design purpose of this embodiment is to provide an industrial software architecture for multi-source heterogeneous data collection on the workshop site, to modularize and intelligently encapsulate the workshop data collection unit, and to serve as a service architecture loaded on the platform for workshop data collection, so as to facilitate rapid plug-in and unplug access to workshop equipment, thereby achieving rapid deployment of workshop equipment, better coping with the collection of different data in the workshop, and improving the data collection capabilities of the workshop, thereby ensuring the capabilities of the workshop management and decision-making level in resource management, workshop production and transportation scheduling, and production process monitoring.

[0029] This embodiment provides a system for collecting multi-source heterogeneous data on a workshop site. Figure 3 As shown, the acquisition system is composed of an acquisition module, a management module and a storage module.

[0030] The management module includes a centralized management module and at least two distributed management modules, and each distributed management module is connected to the centralized management module, and the centralized management module is connected to the centralized storage module.

[0031] Among them, the main function of the management module is to realize the management of the multi-source acquisition module in the workshop and the management of multi-source heterogeneous data. When the data acquisition device is connected to the industrial computer or personal computer, the management module calls the corresponding acquisition module corresponding to the type of device connected. The management modules in the data acquisition system are divided into centralized management modules and distributed management modules. There is one centralized management module and multiple distributed management modules in the manufacturing system. The two have the same ability to manage data, but the centralized management module can send a request to read data to the distributed management module through Ethernet. The distributed management module responds to the request and can only access its own distributed storage module. The centralized and distributed management modules jointly meet the different work requirements of the manufacturing site, facilitate the access and deletion of sensors, and have high flexibility. At the same time, the distributed management module can be used to increase the capacity of sensor access in the data acquisition system.

[0032] The storage class module includes a centralized storage module and at least two distributed storage modules, and a distributed storage module corresponds to and is connected to a distributed management module.

[0033] Among them, the distributed management module and the centralized management module have the same processing method for multi-source heterogeneous data, and can use the same processing method and algorithm model to process multi-source heterogeneous data. The main function of superimposing the distributed management module on the centralized management module is to facilitate the expansion of capacity and reduce spatial obstacles, avoiding overly complex wiring and port quantity restrictions. The centralized storage module has the same structure and function as the distributed storage module. The centralized storage module is under the management of the centralized management module and is placed on an industrial computer or server with good computing performance and large storage space inside the workshop. It can back up the data in the distributed storage module regularly or according to the operator's command, which is conducive to subsequent data processing and calling.

[0034] For example: Figure 1Each device shown has a corresponding proprietary data acquisition module. If you want the interface type of the device to be acquired, select the corresponding data acquisition module and load it into the management module. There is a centralized management module and multiple distributed management modules in the workshop. The centralized management module can manage its subordinate distributed management modules and data acquisition modules. The centralized management module is responsible for writing the data of the directly subordinate acquisition module into the centralized storage module after analysis. At the same time, after the centralized management module and the distributed management module communicate, the data stored in the distributed storage module is read and written into the centralized storage module to achieve data synchronization between different branch storage modules in the workshop. The data acquisition module under the management module is a loadable option. You can select the corresponding data acquisition module according to the needs of workshop data acquisition, which can speed up the configuration of the corresponding data acquisition software and achieve plug-and-play of the equipment in the workshop. At the same time, this architecture has good performance in maintenance and functional scalability. There is no need to stop the overall workshop production activities during maintenance. The corresponding new technology data acquisition module can be developed and debugged separately, without the need to modify and adapt the management module, which greatly shortens the R&D time and reduces production costs.

[0035] Each distributed management module is connected to a collection module, and the collection module is connected to a sensor unit, and the sensor unit is installed on the equipment to be collected at the workshop site. The collection module is used to read the sensor data sent by the sensor unit and the operating data of the equipment to be collected. Among them, in actual applications, the sensor unit at least includes: temperature sensors, humidity sensors, displacement sensors, vibration sensors, and position sensors. Specifically, the equipment to be collected can be understood as equipment that constitutes a production line, such as machine tools deployed and installed in the workshop.

[0036] The function of the storage module is to store data collected by the management module, respond to the call of the management module, and perform write operations. The information of machine tools, logistics equipment, storage equipment and materials in the workshop is stored. The information types of each device in the workshop are different, the information life cycle is different, and the types of information data between production equipment are different, and the amount of data is different. The information of the material will no longer be updated after the processing is completed, but the machine tool needs to continuously record the information in real time and transmit it to the workshop data processing program through the interface for analysis, track the status of the machine tool, and predict the conditions that may occur in the near future. This is also an important application scenario of the workshop data collection system.

[0037] The equipment to be collected described in this embodiment is the equipment installed in the workshop and actually carrying out the production process. The collection system in this embodiment needs to collect the operating status data and sensor data of these "equipment to be collected".

[0038] In this embodiment, the preset data transmission methods include: RFID, field bus, industrial Ethernet, ZigBee and Bluetooth, etc., and the data reading program corresponding to each data transmission method is run in the acquisition module. Among them, the acquisition module has the function of reading the data of the sensor unit connected to the manufacturing system data acquisition. The information sources in the manufacturing system are relatively large in type and quantity. Common information sources include production equipment, personnel, environment, warehouse and production quality, etc. The corresponding sensor units for collecting data and the data transmission methods are also relatively complex. Common sensor types include temperature, displacement, vibration, humidity, position and other sensors. The commonly used data transmission methods in the manufacturing site are RFID, field bus, industrial Ethernet, ZigBee, Bluetooth, etc. Different transmission methods have different signal forms and different encoding methods when communicating, so different data transmission methods require corresponding dedicated reading programs.

[0039] In this embodiment, the centralized management module is deployed on the centralized industrial computer in the workshop, and the distributed management module is deployed on the distributed industrial computer in the workshop. In each acquisition module that has established a connection with the distributed management module, the installed data acquisition protocols include at least: RFID, fieldbus, industrial Ethernet, ZigBee and Bluetooth. For example: Figure 2 As shown in the figure, after the sensor unit bus, Ethernet, Bluetooth and other transmission channels connect the data to the industrial computer, the management module calls the corresponding acquisition module from the acquisition module driver library and sets the parameters. The acquisition module binds the registration information of the sensor with the registration information of the equipment and personnel, and establishes a storage table in the storage module. The acquisition module transmits the data to the management module, which preprocesses the data, matches the data changes with the events in the database, completes the real-time data update, and writes the data into the storage module. The storage module provides data index query and data traceability. When the centralized management module sends a data request to the distributed management module, the storage module hands the corresponding data to the management module for call, so as to realize the synchronization of data in the workshop. Data traceability establishes a storage table based on the order, records the processing and transportation process that the order has gone through, and is conducive to troubleshooting the faults in the workshop when there are quality problems with the products processed in the workshop.

[0040] Among them, the installed data acquisition protocols are integrated into a unified interface, and by setting the calling parameters of the interface, the data acquisition protocol called when the acquisition module establishes a connection with the device to be collected is adjusted. Specifically, the centralized management module and the distributed management module are software modules that can be deployed on the industrial computer inside the workshop, and multiple acquisition modules can be connected to meet the data acquisition needs inside the workshop. The acquisition module converts different data acquisition protocols into a unified interface, which can be used by the centralized management module and the distributed management module. These management modules only need to adjust some parameters of the acquisition module to call the acquisition module. The management module is mounted on the industrial computer or server, and the distributed management module can be placed around the equipment and sensors, which can be on an industrial computer with poor performance and less storage space, while the centralized management module is placed on an industrial computer or server with better performance, thereby realizing flexible response to the data acquisition needs of the workshop and reasonable arrangement of computing and storage resources.

[0041] Specific as Figure 1 As shown, the workshop site can be divided into at least two equipment areas. In each equipment area, there is a set of equipment to be collected. The collection module establishes communication with the sensor units installed on the set of equipment to be collected through a preset data transmission method.

[0042] A driver library is established in the acquisition module, and a data reading program corresponding to each data transmission mode is stored in the driver library. Among them, the acquisition module, as a basic component of the data acquisition system, needs to maintain good compatibility with the actual data acquisition mode of the physical workshop, so it is necessary to establish a driver library for on-site multi-source information acquisition. Each driver adjusts certain parameters for a type of transmission mode according to different actual needs, adapts to different working environments and acquisition accuracy, and realizes data acquisition of this data transmission mode. Unlike ordinary civilian PCs that provide compatible interfaces for all peripheral devices, various standard and non-standard communication protocols in the industrial field are difficult to count, and it is obviously not realistic to develop corresponding separate data acquisition interfaces one by one. Therefore, a unified communication interface is designed, and all underlying equipment uses this interface to access the acquisition module, and access to the management module is realized through this interface. All acquisition modules use a unified package, which can be called by the management module, complete one-time development, and realize a type of rapid call and implementation.

[0043] When a set of devices to be collected is installed in the device area, the distributed management module in the device area sends an activation command to the collection class module in the device area according to the interface type of the set of devices to be collected. The activation command records the interface type of the set of devices to be collected. The activation command is used to trigger the collection class module to load a data reading program compatible with the interface type of the set of devices to be collected from the driver library.

[0044] The embodiment of the present invention provides a method for collecting multi-source heterogeneous data at a workshop site, such as Figure 4 As shown, including:

[0045] S1. Read the sensor data reported by the sensor unit through the acquisition module.

[0046] S2. The distributed management module uses the sensor registration information, the device registration information and the personnel registration information to bind the sensor data to information resources.

[0047] Among them, information resource binding mainly manages multi-source heterogeneous data, such as associating sensor data on the same production equipment and some data collected by the machine tool itself to a specific device ID.

[0048] S3. The management module collects sensor data and processes the data in an event-driven manner.

[0049] Among them, in an event-driven program, the occurrence of time in the system directly affects the execution process. The program will execute certain actions only after a time is triggered, which can avoid the system from constantly recording data, which will occupy a lot of computing and communication resources and miss some changes that occur very quickly and are of great importance in the remanufacturing process. In addition, the queue can be used to conveniently transmit and store data. This is a mechanism for data collection. Data processing is placed in the subsequent process and can be used as an extension module of the management module to realize extended functions. The amount of data collected in engineering practice is very large, and there is a lot of invalid information and noise. For example, there is a lot of interference in vibration and force signals. When using these data for equipment fault diagnosis, the data must first be subjected to operations such as noise reduction and dimensionality reduction.

[0050] S4. The distributed management module stores the results of executing S2 and S3 in the distributed storage module.

[0051] A set of devices to be collected is connected to each device area, and the collection module establishes communication with the sensor units installed on the set of devices to be collected through a preset data transmission method.

[0052] In this embodiment, data index query and data tracing can also be performed. Specifically, data index query and data tracing are based on information resource binding, and establish associations between equipment and / or orders to achieve real-time monitoring of equipment data and full-process recording of orders. When equipment fails or orders have problems such as reduced processing quality, the corresponding equipment and order data can be found based on data index query, thereby determining the location of the failure and then carrying out maintenance work.

[0053] The management of multi-source heterogeneous data is mainly achieved through information resource binding and event-driven data collection process. After the collection module collects the data, it is still chaotic and has a low degree of availability. The value-added utilization of data needs to be based on the establishment of a corresponding relationship with the actual on-site situation. The management module loads the collection module to read the information of the corresponding sensor equipment, binds the information resources with the equipment and personnel of the on-site workshop in the database, establishes the corresponding relationship between data and equipment, and establishes a corresponding table in the database in the storage module. The management module receives the data from the collection module for pre-processing, and after logical processing, matches the changes in the data with the pre-established data collection events, and then the management module writes the data into the storage module. For example: when the action execution signal of the robot arm is completed, it is judged that the material has been delivered to the lathe, and the machine tool fixture has been closed, then it can be judged that the material has been clamped, and the vibration and temperature signals of the machine tool can be read to monitor the machine tool status.

[0054] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. The above is only a specific implementation method of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or replacements that can be easily thought of by any technician familiar with the technical field within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A multi-source heterogeneous data collection system for workshop sites, characterized in that: The acquisition system is composed of acquisition modules, management modules and storage modules; The management module includes a centralized management module and at least two distributed management modules, and each distributed management module is connected to the centralized management module, and the centralized management module is connected to the centralized storage module; The storage class module includes a centralized storage module and at least two distributed storage modules, and a distributed storage module corresponds to and is connected to a distributed management module; Each distributed management module is connected to a collection module, the collection module is connected to a sensor unit, the sensor unit is installed on the equipment to be collected at the workshop site, and the collection module is used to read the sensor data sent by the sensor unit and the operating data of the equipment to be collected; A driver library is established in the acquisition module, and a data reading program corresponding to each data transmission mode is stored in the driver library; When a set of devices to be collected is installed in the device area, the distributed management module in the device area sends an activation command to the collection class module in the device area according to the interface type of the set of devices to be collected, wherein the activation command records the interface type of the set of devices to be collected, and the activation command is used to trigger the collection class module to load a data reading program compatible with the interface type of the set of devices to be collected from the driver library; The distributed management module uses sensor registration information, device registration information and personnel registration information to bind the sensor data to information resources; the management module uses an event-driven approach to collect sensor data and perform data processing.

2. The acquisition system according to claim 1, characterized in that: The preset data transmission modes include: RFID, field bus, industrial Ethernet, ZigBee and Bluetooth, etc. The data reading program corresponding to each data transmission mode is run in the acquisition module.

3. The acquisition system according to claim 1, characterized in that: The centralized management module is deployed on a centralized industrial computer in the workshop, and the distributed management module is deployed on a distributed industrial computer in the workshop; In each acquisition module that has established a connection with the distributed management module, the installed data acquisition protocols include at least: RFID, field bus, industrial Ethernet, ZigBee and Bluetooth, wherein the installed data acquisition protocols are integrated into a unified interface, and the data acquisition protocol called when the acquisition module establishes a connection with the device to be collected is adjusted by setting the calling parameters of the interface.

4. The acquisition system according to claim 1, characterized in that: The workshop site is divided into at least two equipment areas, each of which includes: A set of equipment to be collected, the collection module establishes communication with the sensor units installed on the set of equipment to be collected through a preset data transmission method.

5. The acquisition system according to claim 1, characterized in that: The sensor unit at least includes: a temperature sensor, a humidity sensor, a displacement sensor, a vibration sensor, and a position sensor.

6. A method for collecting multi-source heterogeneous data at a workshop site, characterized in that: include: S1. Reading sensor data reported by the sensor unit through the acquisition module; S2, the distributed management module uses the sensor registration information, the device registration information and the personnel registration information to bind the sensor data to information resources; S3, the management module collects sensor data and processes the data in an event-driven manner; S4, the distributed management module stores the results of S2 and S3 in the distributed storage module; The acquisition method is used in an acquisition system, which is composed of an acquisition module, a management module and a storage module; The management module includes a centralized management module and at least two distributed management modules, and each distributed management module is connected to the centralized management module, and the centralized management module is connected to the centralized storage module; The storage class module includes a centralized storage module and at least two distributed storage modules, and a distributed storage module corresponds to and is connected to a distributed management module; Each distributed management module is connected to a collection module, the collection module is connected to a sensor unit, the sensor unit is installed on the equipment to be collected at the workshop site, and the collection module is used to read the sensor data sent by the sensor unit and the operating data of the equipment to be collected; A driver library is established in the acquisition module, and a data reading program corresponding to each data transmission mode is stored in the driver library; When a set of devices to be collected is installed in the device area, the distributed management module in the device area sends an activation command to the collection class module in the device area according to the interface type of the set of devices to be collected, wherein the activation command records the interface type of the set of devices to be collected, and the activation command is used to trigger the collection class module to load a data reading program compatible with the interface type of the set of devices to be collected from the driver library; A set of devices to be collected is connected to each device area, and the collection module establishes communication with the sensor units installed on the set of devices to be collected through a preset data transmission method.

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