CN112306010A - Data processing method and device - Google Patents
Data processing method and device Download PDFInfo
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- CN112306010A CN112306010A CN201910704345.8A CN201910704345A CN112306010A CN 112306010 A CN112306010 A CN 112306010A CN 201910704345 A CN201910704345 A CN 201910704345A CN 112306010 A CN112306010 A CN 112306010A
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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
- 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]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
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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
- G05B2219/31204—Blind node, executes control, data acquisition without having operator interfaces
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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 provides a data processing method and a data processing device, wherein a data processing device is arranged on the device side, and can control a data acquisition device communicated with the data processing device to acquire data and process the acquired data, so that the data acquired by the data acquisition device is not required to be uploaded to a device real-time monitoring platform for storage and processing, and the processing pressure of the device real-time monitoring platform is reduced.
Description
Technical Field
The present invention relates to the field of data processing, and in particular, to a data processing method and apparatus.
Background
The real-time equipment monitoring platform is important equipment of a large-scale heavy asset high-end equipment enterprise, and can meet the requirements of remote real-time understanding of the health state of equipment in a production field and predictive maintenance and management of enterprise personnel.
The real-time monitoring platform of the equipment receives, stores and processes a large amount of data input by workers on site, data collected by a sensor installed on production equipment and control data of a controller, so that the processing pressure of the real-time monitoring platform of the equipment is high.
Disclosure of Invention
In view of the above, the present invention provides a data processing method and apparatus that overcomes or at least partially solves the above problems.
A data processing method is applied to data processing equipment arranged on an equipment side, the data processing equipment is communicated with an equipment real-time monitoring platform, and the data processing method comprises the following steps:
acquiring data acquisition strategies and data processing strategies respectively corresponding to data acquisition equipment; wherein the data acquisition device is in communication with the data processing device; different data acquisition devices adopt different data acquisition strategies and data processing strategies;
controlling the data acquisition equipment to acquire data according to the data acquisition strategy;
and according to the data processing strategy, carrying out data processing on the acquired data uploaded by the data acquisition equipment to obtain target data.
Preferably, the data acquisition equipment comprises one or more of terminal equipment of equipment operation and maintenance personnel, a sensor arranged on the production equipment and a production equipment controller;
correspondingly, according to the data acquisition strategy, the data acquisition equipment is controlled to acquire data, and the method comprises the following steps:
if the data acquisition equipment is the sensor, controlling the sensor to acquire the data of the production equipment according to the sampling time and the number of sampling points in the corresponding data acquisition strategy and receiving the acquired data;
if the data acquisition equipment is a production equipment controller, controlling the production equipment controller to acquire the data of the production equipment according to the sampling time in the corresponding data acquisition strategy and receiving the acquired data;
if the data acquisition equipment is the terminal equipment, outputting data acquisition prompt information to the terminal equipment when the sampling time in a data acquisition strategy corresponding to the terminal equipment is reached so as to enable the equipment operation and maintenance personnel to acquire data;
and acquiring the data of the production equipment, which is acquired by the equipment operation and maintenance personnel through the terminal equipment.
Preferably, according to the data processing policy, performing data processing on the acquired data uploaded by the data acquisition device to obtain target data, including:
if the data acquisition equipment is the sensor, performing waveform processing on the acquired data of the sensor to obtain a sensor characteristic value; the waveform processing includes filtering, windowing, and fourier transforming;
performing first compression processing on the sensor characteristic value to obtain first data;
if the data acquisition equipment is the production equipment controller, carrying out second compression processing on the acquired data of the production equipment controller to obtain second data;
if the data acquisition equipment is the terminal equipment, carrying out third compression processing on the acquired data of the terminal equipment to obtain third data;
the target data includes the first data, the second data, and the third data.
Preferably, after the data processing is performed on the collected data uploaded by the data collecting device according to the data processing policy to obtain target data, the method further includes:
determining equipment operation data of the production equipment according to the sensor characteristic value, the data acquired by the production equipment controller and the data acquired by the terminal equipment;
acquiring an equipment early warning strategy; the equipment pre-warning policy is related to equipment characteristics of the production equipment;
according to the equipment early warning strategy, performing threshold early warning analysis on the equipment operation data to judge whether the production equipment has a fault;
and if the fault occurs, executing equipment alarm operation.
Preferably, after determining the device operation data of the production device according to the sensor characteristic value, the collected data of the production device controller, and the collected data of the terminal device, the method further includes:
determining the equipment operation state of the production equipment according to the equipment operation data;
if the equipment running state is a normal running state, prolonging the sampling time interval in the data acquisition strategies corresponding to the sensor, the production equipment controller and the terminal equipment;
and if the equipment running state is an abnormal running state, shortening the sampling time interval in the data acquisition strategies corresponding to the sensor, the production equipment controller and the terminal equipment.
Preferably, if the data acquisition device is the terminal device, after performing third compression processing on the acquired data of the terminal device to obtain third data, the method further includes:
and separately uploading the first data, the second data and the third data to the equipment real-time monitoring platform.
Preferably, after acquiring the data of the production device, which is acquired by the device operation and maintenance personnel through the terminal device, the method further includes:
carrying out structured storage on the acquired data of the sensor and the acquired data of the production equipment controller;
and carrying out unstructured storage on the collected data of the terminal equipment.
A data processing device is applied to data processing equipment arranged on an equipment side, the data processing equipment is communicated with an equipment real-time monitoring platform, and the data processing device comprises:
the strategy acquisition module is used for acquiring data acquisition strategies and data processing strategies which respectively correspond to the data acquisition equipment; wherein the data acquisition device is in communication with the data processing device; different data acquisition devices adopt different data acquisition strategies and data processing strategies;
the data acquisition module is used for controlling the data acquisition equipment to acquire data according to the data acquisition strategy;
and the data processing module is used for processing the acquired data uploaded by the data acquisition equipment according to the data processing strategy to obtain target data.
A data processing apparatus for running a program, wherein the program performs the data processing method described above when running.
A data processing system is characterized by comprising a plurality of data processing devices and the real-time monitoring platform of the devices.
By means of the technical scheme, the data processing device is installed on the device side, the data acquisition device communicated with the data processing device can be controlled to acquire data, the acquired data are processed, the data acquired by the data acquisition device do not need to be uploaded to the device real-time monitoring platform to be stored and processed, and processing pressure of the device real-time monitoring platform is reduced.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flowchart illustrating a method of a data processing method according to an embodiment of the present invention;
fig. 2 shows a data interaction flow chart of a server and a gateway provided by an embodiment of the present invention;
FIG. 3 is a flow chart of a method of another data processing method according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram illustrating a data processing apparatus according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The embodiment of the invention provides a data processing method, which is applied to data processing equipment arranged on an equipment side, wherein the data processing equipment can be a gateway, and the data processing equipment is communicated with an equipment real-time monitoring platform. The data processing equipment can be used as an edge layer, the equipment real-time monitoring platform is used as a platform layer, and the equipment real-time monitoring platform uses an embedded operating system and can have the functions of parameter setting, state display, sensor chain table adding and the like. The edge software is deployed in the data processing equipment, and can control the data acquisition equipment in the communication range of the data processing equipment to acquire data, process the acquired data, alarm the data, upload the data to the real-time equipment monitoring platform and the like.
Referring to fig. 1, the data processing method includes:
and S11, acquiring data acquisition strategies and data processing strategies corresponding to the data acquisition equipment respectively.
Wherein the data acquisition device is in communication with the data processing device; and different data acquisition strategies and data processing strategies are adopted by different data acquisition equipment.
Specifically, the data acquisition policy and the data processing policy may be acquired from the device real-time monitoring platform, or may be generated by the data processing device. The data processing equipment controls different data acquisition equipment to acquire data, and the data acquisition equipment comprises one or more of terminal equipment of equipment operation and maintenance personnel, a sensor arranged on the production equipment and a production equipment controller. Because the data and the data acquisition modes acquired by different data acquisition equipment are different, for example, the acquired data formats are different, the data acquisition strategies and the data processing strategies corresponding to different data acquisition equipment are different. E.g. different sampling periods for different devices.
And S12, controlling the data acquisition equipment to acquire data according to the data acquisition strategy. Specifically, the data acquisition policy may be directly issued to the data acquisition device, so that the data acquisition device performs data acquisition according to the data acquisition policy. In addition, the data processing equipment can also send an acquisition instruction to the data acquisition equipment when the sampling time in the data acquisition strategy is reached, and then the data acquisition equipment acquires data.
Optionally, on the basis of this embodiment, step S12 may include:
1) and if the data acquisition equipment is the sensor, controlling the sensor to acquire the data of the production equipment according to the sampling time and the number of sampling points in the corresponding data acquisition strategy and receiving the acquired data.
The sensor may be an acceleration sensor, an eddy current sensor, and/or a temperature sensor. The data acquisition strategy corresponding to the sensor specifies sampling time and sampling point number, for example, the sampling time is 5 points, 6 points and 7 points, and the sampling point number is 100 data acquisition. After the sampling time, the sensor collects 100 data.
The acquired data of the sensor can be vibration parameters including an original acceleration waveform and an eddy current displacement value, the data is real-time data, the sampling frequency is up to 51.2KHz, the data volume is large, and the data is accessed into the intelligent gateway through a zigbee communication protocol of the sensor, so that the gateway receives the data acquired by the sensor.
2) And if the data acquisition equipment is a production equipment controller, controlling the production equipment controller to acquire the data of the production equipment according to the sampling time in the corresponding data acquisition strategy and receiving the acquired data.
The production equipment controller can be a distributed Control system DCS (distributed Control System)/programmable logic controller PLC controller.
The data acquisition strategy corresponding to the production equipment controller comprises sampling time, and when the sampling time is up, the production equipment controller acquires data.
Data that production equipment controller gathered are mostly process quantity data such as temperature, flow, electric current, voltage, can convert original agreement into general Modbus protocol access through intelligent gateway 485 interface. Other protocols may also be used.
3) If the data acquisition equipment is the terminal equipment, when the sampling time in the data acquisition strategy corresponding to the terminal equipment is reached, outputting data acquisition prompt information to the terminal equipment so that the equipment operation and maintenance personnel can acquire the data of the production equipment acquired by the equipment operation and maintenance personnel through the terminal equipment.
Specifically, the terminal device may be an intelligent wearable device such as data collected by a PDA, radio frequency identification FRID, or a camera.
The data processing equipment can acquire a data acquisition strategy corresponding to the terminal equipment, the data acquisition strategy specifies sampling time, when the sampling time is up, a message is sent to the terminal equipment, and when the equipment operation and maintenance personnel receive the message notification, the terminal equipment can be used for data acquisition. The collected data of the terminal device of the device operation and maintenance personnel can include data collected by an intelligent wearable device such as a PDA (personal digital assistant), data collected by a radio frequency identification (FRID) device and the like, historical maintenance record data, and unstructured data such as on-site photographing and videos. Such data may be obtained by way of communication between field devices, such as PDAs and intelligent gateways.
For example, the data of the production equipment can be manually read and input into intelligent wearable equipment such as a PDA, or a camera is used to take a picture of the production equipment and upload the picture to the data processing equipment.
In this example, different data acquisition devices use different data acquisition strategies, and then the data acquisition strategies corresponding to the data acquisition devices can be set for different data acquisition devices, so that the data acquisition strategies are more suitable for the data acquisition devices and are more diversified. For example, the data transmission quantity and the storage quantity of the real-time monitoring platform of the equipment are reduced by respectively processing the three types of collected data by the edge layer software and hardware, including different collection strategies, data processing strategies and the like. Namely, the data processing amount of the real-time monitoring platform of the equipment is reduced by respectively calculating the three types of data through the data edge layer. The embodiment of the invention can effectively solve the pressure of the real-time monitoring platform of the equipment, and simultaneously can meet various data requirements, access forms and differentiated data requirements of application objects of different levels by deploying real-time analysis software in the gateway.
Optionally, on the basis of this embodiment, after acquiring the data of the production device, which is acquired by the device operation and maintenance personnel through the terminal device, the method may further include:
carrying out structured storage on the acquired data of the sensor and the acquired data of the production equipment controller;
and carrying out unstructured storage on the collected data of the terminal equipment.
Specifically, the gateway classifies and stores various types of data such as unstructured data and structured data, and different storage strategies of different data are different. For example, the collected data of the sensor is generally unstructured data and can be stored in an unstructured database, and the collected data of the terminal equipment of the equipment operation and maintenance personnel and the collected data of the production equipment controller are structured data and can be stored in a relational database.
Different storage positions are set for the structured data and the unstructured data, so that the data storage is more standardized and regularized, and the data query in the later period is facilitated.
And S13, processing the data uploaded by the data acquisition equipment according to the data processing strategy to obtain target data.
Specifically, B/S architecture software, that is, edge software is installed in the data processing device, the data processing policy is stored in the B/S architecture software, and the data processing policies corresponding to the sensor, the production device controller, and the terminal device of the device operation and maintenance staff are different, that is, different data processing policies are adopted for different data.
In this embodiment, install data processing equipment at the equipment side, can control with data processing equipment communication's data acquisition equipment carries out data acquisition to data processing carries out data processing to the data acquisition, need not upload the data that data acquisition equipment gathered to equipment real-time monitoring platform and store and handle, reduces equipment real-time monitoring platform's processing pressure.
Optionally, on the basis of any one of the above embodiments of the data processing method, step S13 may include:
1) if the data acquisition equipment is the sensor, performing waveform processing on the acquired data of the sensor to obtain a sensor characteristic value, and performing first compression processing on the sensor characteristic value to obtain first data.
The waveform processing includes filtering, windowing, and fourier transforming.
Specifically, the data of the sensor is unstructured data, mainly waveform data, and the unstructured data can be subjected to filtering, windowing, dynamic sampling time, time-frequency conversion, Fourier transform and the like. For example, the gateway can perform filtering, band-pass, fourier transform and other algorithms, count sensor characteristic quantities such as acceleration values, velocity values, sheath values and the like which have evaluation significance on the equipment state, perform first compression processing on the sensor characteristic quantities, and upload first data obtained by compression to the platform through the intelligent gateway.
2) And if the data acquisition equipment is the production equipment controller, carrying out second compression processing on the acquired data of the production equipment controller to obtain second data.
3) If the data acquisition equipment is the terminal equipment, carrying out third compression processing on the acquired data of the terminal equipment to obtain third data;
the target data includes the first data, the second data, and the third data.
Specifically, the production equipment controller and the terminal equipment directly acquire data, so that the processing is simpler than that of a sensor, and only data compression is needed. The first compression process, the second compression process, and the third compression process may use different data compression methods, or may use the same data compression method.
Optionally, on the basis of this embodiment, if the data acquisition device is the terminal device, after performing third compression processing on the acquired data of the terminal device to obtain third data, the method further includes:
and separately uploading the first data, the second data and the third data to the equipment real-time monitoring platform.
Specifically, in order to reduce data uploading pressure and uploading speed, the first data, the second data and the third data are uploaded separately, so that the transmission speed is increased, and the transmission time is shortened. After the real-time monitoring platform of the equipment receives the data, further data processing and early warning operation can be carried out.
Referring to fig. 2, taking a data processing device as a gateway and a device real-time monitoring platform as a server as an example, fig. 2 shows a whole flow chart of data uploading.
1. The server requests data of the gateway;
2. the gateway sends data to the server;
3. the gateway returns the confirmation to the server;
specifically, after the gateway sends the data, it determines whether the data is successfully received by the server through interaction with the server.
If the data transmission is successful, the next data can be continuously transmitted, and if the data transmission is unsuccessful, the data is retransmitted.
4. The gateway continues to send data to the server, and the step 2-3 is repeated until the data is sent;
5. the server closes the connection with the gateway.
In this embodiment, the data processing device can perform preliminary processing on the data acquired by the data acquisition device, and upload the processed data to the device real-time monitoring platform, thereby reducing the data upload amount. And the first data, the second data and the third data are uploaded to the equipment real-time monitoring platform separately, so that the data uploading time can be shortened.
Optionally, on the basis of any of the foregoing embodiments, after step S13, the method may further include:
and S21, determining the equipment operation data of the production equipment according to the sensor characteristic value, the collected data of the production equipment controller and the collected data of the terminal equipment.
Specifically, the device operation data may be a summary of the sensor characteristic value, the collected data of the production device controller, and the collected data of the terminal device, or may be obtained by analyzing the sensor characteristic value, the collected data of the production device controller, and the collected data of the terminal device. For example, the temperature of the production equipment may be data directly acquired by the temperature sensor, or may be data acquired by analyzing the data acquired by the temperature sensor and the lubricating oil state data.
And S22, acquiring an equipment early warning strategy.
The equipment forewarning policy is related to equipment characteristics of the production equipment.
Specifically, according to the device characteristics of the production device, a device early warning strategy is specified, and if the production device is above 80 degrees, the working efficiency is reduced, and then the temperature threshold of the production device can be 80 degrees.
And S23, performing threshold early warning analysis on the equipment operation data according to the equipment early warning strategy to judge whether the production equipment breaks down.
And S24, if the fault occurs, executing equipment alarm operation.
Specifically, the data processing device implements various parameter type early warning strategies according to data characteristics. Specifically, local early warning is carried out through B/S framework software, and the data processing equipment can carry out real-time monitoring and remote early warning on the equipment according to an equipment early warning strategy.
For example, the local warning may be to observe whether the value acquired by the sensor exceeds a specified value, and if the acceleration acquired by the acceleration sensor is greater than a preset acceleration, the data processing device may send out a warning sound and send warning information to the terminal device of the device operation and maintenance staff.
Or, the temperature value acquired by the temperature sensor and the lubricating degree of the lubricating oil are acquired, and if the temperature value acquired by the temperature sensor does not reach the temperature threshold value but the lubricating degree of the lubricating oil reaches the state corresponding to the temperature threshold value, the temperature reaching the threshold value can be determined at the moment, and then the alarm processing is performed.
Optionally, on the basis of this embodiment, after determining the device operation data of the production device according to the sensor characteristic value, the collected data of the production device controller, and the collected data of the terminal device, the method further includes:
determining the equipment operation state of the production equipment according to the equipment operation data; if the equipment running state is a normal running state, prolonging the sampling time interval in the data acquisition strategies corresponding to the sensor, the production equipment controller and the terminal equipment; and if the equipment running state is an abnormal running state, shortening the sampling time interval in the data acquisition strategies corresponding to the sensor, the production equipment controller and the terminal equipment.
Specifically, according to equipment operation data, whether production equipment normally operates or is close to abnormal alarm state can be determined, if normal operation, equipment operation state is stable, and equipment operation and maintenance personnel's terminal equipment, the change amount of the data that set up the sensor on production equipment and the production equipment controller were gathered is not big, can reduce data acquisition volume this moment, specifically can reduce data acquisition volume through extension sampling time interval.
If the equipment is close to an abnormal alarm state, the operation of the equipment is unstable, and at the moment, in order to avoid that operation and maintenance personnel are too late to maintain due to sudden failure of the equipment, the data acquisition amount is increased, and particularly, the data acquisition amount can be increased by shortening the sampling time interval.
In this embodiment, the data processing device on the device side can realize the early warning function, ensure the safe and controllable operation of the device, and reduce the operating pressure of the real-time monitoring platform of the device. In addition, a data acquisition strategy can be corrected according to the equipment operation data, so that the data acquisition strategy accords with the equipment operation state.
According to the above description, the data processing device can realize the functions of data acquisition, data processing, data uploading and device early warning.
When the data processing equipment realizes the functions, the data processing equipment mainly relates to radio frequency front end control, analysis protocol packet processing, application level message processing and data exchange.
When carrying out data acquisition, can use RS485 data acquisition, use RS485 bottom drive during RS485 data acquisition, the protocol of using is the ModulBus485 protocol.
The process of realizing data processing by the data processing equipment comprises the following steps: analyzing a network data packet, analyzing an RS485 bus data packet, packaging the data packet and analyzing a command.
The data uploading comprises two processes of RJ45 network driving and data loading.
Optionally, on the basis of the embodiment of the data processing method, another embodiment of the present invention provides a data processing apparatus, which is applied to a data processing device disposed on a device side, where the data processing device communicates with a device real-time monitoring platform, and the data processing apparatus includes:
the policy acquisition module 101 is configured to acquire a data acquisition policy and a data processing policy that correspond to the data acquisition device, respectively; wherein the data acquisition device is in communication with the data processing device; different data acquisition devices adopt different data acquisition strategies and data processing strategies;
the data acquisition module 102 is configured to control the data acquisition device to perform data acquisition according to the data acquisition policy;
and the data processing module 103 is configured to perform data processing on the acquired data uploaded by the data acquisition device according to the data processing policy to obtain target data.
Optionally, on the basis of this embodiment, the data acquisition device includes one or more of a terminal device of an equipment operation and maintenance worker, a sensor arranged on the production equipment, and a production equipment controller;
correspondingly, the data acquisition module 102 is configured to, when controlling the data acquisition device to perform data acquisition according to the data acquisition policy, specifically:
if the data acquisition equipment is the sensor, controlling the sensor to acquire the data of the production equipment according to the sampling time and the number of sampling points in the corresponding data acquisition strategy and receiving the acquired data;
if the data acquisition equipment is a production equipment controller, controlling the production equipment controller to acquire the data of the production equipment according to the sampling time in the corresponding data acquisition strategy and receiving the acquired data;
if the data acquisition equipment is the terminal equipment, outputting data acquisition prompt information to the terminal equipment when the sampling time in a data acquisition strategy corresponding to the terminal equipment is reached so as to enable the equipment operation and maintenance personnel to acquire data;
and acquiring the data of the production equipment, which is acquired by the equipment operation and maintenance personnel through the terminal equipment.
Optionally, on the basis of this embodiment, the apparatus further includes a storage module, where the storage module is configured to:
after the data acquisition module 102 acquires the data of the production equipment acquired by the equipment operation and maintenance personnel through the terminal equipment, the acquired data of the sensor and the acquired data of the production equipment controller are structurally stored, and the acquired data of the terminal equipment are unstructured stored.
In this embodiment, install data processing equipment at the equipment side, can control with data processing equipment communication's data acquisition equipment carries out data acquisition to data processing carries out data processing to the data acquisition, need not upload the data that data acquisition equipment gathered to equipment real-time monitoring platform and store and handle, reduces equipment real-time monitoring platform's processing pressure.
It should be noted that, for the working process of each module in this embodiment, please refer to the corresponding description in the above embodiments, which is not described herein again.
Optionally, on the basis of any embodiment of the data processing apparatus, the data processing module 103 is configured to, when performing data processing on the acquired data uploaded by the data acquisition device according to the data processing policy to obtain target data, specifically:
if the data acquisition equipment is the sensor, performing waveform processing on the acquired data of the sensor to obtain a sensor characteristic value; the waveform processing includes filtering, windowing, and fourier transforming;
performing first compression processing on the sensor characteristic value to obtain first data;
if the data acquisition equipment is the production equipment controller, carrying out second compression processing on the acquired data of the production equipment controller to obtain second data;
if the data acquisition equipment is the terminal equipment, carrying out third compression processing on the acquired data of the terminal equipment to obtain third data;
the target data includes the first data, the second data, and the third data.
Optionally, on the basis of this embodiment, the method further includes:
and the data uploading module is used for separately uploading the first data, the second data and the third data to the equipment real-time monitoring platform.
In this embodiment, the data processing device can perform preliminary processing on the data acquired by the data acquisition device, and upload the processed data to the device real-time monitoring platform, thereby reducing the data upload amount. And the first data, the second data and the third data are uploaded to the equipment real-time monitoring platform separately, so that the data uploading time can be shortened.
It should be noted that, for the working process of each module in this embodiment, please refer to the corresponding description in the above embodiments, which is not described herein again.
Optionally, on the basis of any one of the above embodiments of the data processing apparatus, the method further includes:
the operation data determining module is used for determining the equipment operation data of the production equipment according to the sensor characteristic value, the collected data of the production equipment controller and the collected data of the terminal equipment after the data processing module carries out data processing on the collected data uploaded by the data collection equipment according to the data processing strategy to obtain target data;
the early warning data acquisition module is used for acquiring an equipment early warning strategy; the equipment pre-warning policy is related to equipment characteristics of the production equipment;
the early warning module is used for carrying out threshold early warning analysis on the equipment operation data according to the equipment early warning strategy so as to judge whether the production equipment breaks down or not; and if the fault occurs, executing equipment alarm operation.
Optionally, on the basis of this embodiment, the method further includes:
the operation state determining module is used for determining the equipment operation state of the production equipment according to the equipment operation data after the operation data determining module determines the equipment operation data of the production equipment according to the sensor characteristic value, the acquisition data of the production equipment controller and the acquisition data of the terminal equipment;
the strategy adjusting module is used for prolonging sampling time intervals in data acquisition strategies corresponding to the sensor, the production equipment controller and the terminal equipment if the equipment running state is a normal running state; and if the equipment running state is an abnormal running state, shortening the sampling time interval in the data acquisition strategies corresponding to the sensor, the production equipment controller and the terminal equipment.
In this embodiment, the data processing device on the device side can realize the early warning function, ensure the safe and controllable operation of the device, and reduce the operating pressure of the real-time monitoring platform of the device. In addition, a data acquisition strategy can be corrected according to the equipment operation data, so that the data acquisition strategy accords with the equipment operation state.
It should be noted that, for the working process of each module in this embodiment, please refer to the corresponding description in the above embodiments, which is not described herein again.
Optionally, on the basis of the embodiments of the data processing method and apparatus, another embodiment of the present invention provides a data processing device, where the data processing device is configured to run a program, and the program executes the data processing method when running.
Optionally, on the basis of the above embodiment of the data processing apparatus, another embodiment of the present invention provides a data processing system, which is characterized by including a plurality of the above data processing apparatuses and the apparatus real-time monitoring platform.
The data processing device comprises a processor and a memory, the strategy acquisition module, the data processing module and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more, and the processing pressure of the real-time monitoring platform of the equipment is reduced by adjusting the kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
An embodiment of the present invention provides a storage medium on which a program is stored, the program implementing the data processing method when executed by a processor.
The embodiment of the invention provides a processor, which is used for running a program, wherein the data processing method is executed when the program runs.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps:
a data processing method is applied to data processing equipment arranged on an equipment side, the data processing equipment is communicated with an equipment real-time monitoring platform, and the data processing method comprises the following steps:
acquiring data acquisition strategies and data processing strategies respectively corresponding to data acquisition equipment; wherein the data acquisition device is in communication with the data processing device; different data acquisition devices adopt different data acquisition strategies and data processing strategies;
controlling the data acquisition equipment to acquire data according to the data acquisition strategy;
and according to the data processing strategy, carrying out data processing on the acquired data uploaded by the data acquisition equipment to obtain target data.
Optionally, the data acquisition device includes one or more of a terminal device of a device operation and maintenance worker, a sensor arranged on the production device, and a production device controller;
correspondingly, according to the data acquisition strategy, the data acquisition equipment is controlled to acquire data, and the method comprises the following steps:
if the data acquisition equipment is the sensor, controlling the sensor to acquire the data of the production equipment according to the sampling time and the number of sampling points in the corresponding data acquisition strategy and receiving the acquired data;
if the data acquisition equipment is a production equipment controller, controlling the production equipment controller to acquire the data of the production equipment according to the sampling time in the corresponding data acquisition strategy and receiving the acquired data;
if the data acquisition equipment is the terminal equipment, outputting data acquisition prompt information to the terminal equipment when the sampling time in a data acquisition strategy corresponding to the terminal equipment is reached so as to enable the equipment operation and maintenance personnel to acquire data;
and acquiring the data of the production equipment, which is acquired by the equipment operation and maintenance personnel through the terminal equipment.
Optionally, according to the data processing policy, performing data processing on the acquired data uploaded by the data acquisition device to obtain target data, including:
if the data acquisition equipment is the sensor, performing waveform processing on the acquired data of the sensor to obtain a sensor characteristic value; the waveform processing includes filtering, windowing, and fourier transforming;
performing first compression processing on the sensor characteristic value to obtain first data;
if the data acquisition equipment is the production equipment controller, carrying out second compression processing on the acquired data of the production equipment controller to obtain second data;
if the data acquisition equipment is the terminal equipment, carrying out third compression processing on the acquired data of the terminal equipment to obtain third data;
the target data includes the first data, the second data, and the third data.
Optionally, after performing data processing on the acquired data uploaded by the data acquisition device according to the data processing policy to obtain target data, the method further includes:
determining equipment operation data of the production equipment according to the sensor characteristic value, the data acquired by the production equipment controller and the data acquired by the terminal equipment;
acquiring an equipment early warning strategy; the equipment pre-warning policy is related to equipment characteristics of the production equipment;
according to the equipment early warning strategy, performing threshold early warning analysis on the equipment operation data to judge whether the production equipment has a fault;
and if the fault occurs, executing equipment alarm operation.
Optionally, after determining the device operation data of the production device according to the sensor characteristic value, the collected data of the production device controller, and the collected data of the terminal device, the method further includes:
determining the equipment operation state of the production equipment according to the equipment operation data;
if the equipment running state is a normal running state, prolonging the sampling time interval in the data acquisition strategies corresponding to the sensor, the production equipment controller and the terminal equipment;
and if the equipment running state is an abnormal running state, shortening the sampling time interval in the data acquisition strategies corresponding to the sensor, the production equipment controller and the terminal equipment.
Optionally, if the data acquisition device is the terminal device, after performing third compression processing on the acquired data of the terminal device to obtain third data, the method further includes:
and separately uploading the first data, the second data and the third data to the equipment real-time monitoring platform.
Optionally, after acquiring the data of the production device, acquired by the device operation and maintenance personnel through the terminal device, the method further includes:
carrying out structured storage on the acquired data of the sensor and the acquired data of the production equipment controller;
and carrying out unstructured storage on the collected data of the terminal equipment.
The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device:
a data processing method is applied to data processing equipment arranged on an equipment side, the data processing equipment is communicated with an equipment real-time monitoring platform, and the data processing method comprises the following steps:
acquiring data acquisition strategies and data processing strategies respectively corresponding to data acquisition equipment; wherein the data acquisition device is in communication with the data processing device; different data acquisition devices adopt different data acquisition strategies and data processing strategies;
controlling the data acquisition equipment to acquire data according to the data acquisition strategy;
and according to the data processing strategy, carrying out data processing on the acquired data uploaded by the data acquisition equipment to obtain target data.
Optionally, the data acquisition device includes one or more of a terminal device of a device operation and maintenance worker, a sensor arranged on the production device, and a production device controller;
correspondingly, according to the data acquisition strategy, the data acquisition equipment is controlled to acquire data, and the method comprises the following steps:
if the data acquisition equipment is the sensor, controlling the sensor to acquire the data of the production equipment according to the sampling time and the number of sampling points in the corresponding data acquisition strategy and receiving the acquired data;
if the data acquisition equipment is a production equipment controller, controlling the production equipment controller to acquire the data of the production equipment according to the sampling time in the corresponding data acquisition strategy and receiving the acquired data;
if the data acquisition equipment is the terminal equipment, outputting data acquisition prompt information to the terminal equipment when the sampling time in a data acquisition strategy corresponding to the terminal equipment is reached so as to enable the equipment operation and maintenance personnel to acquire data;
and acquiring the data of the production equipment, which is acquired by the equipment operation and maintenance personnel through the terminal equipment.
Optionally, according to the data processing policy, performing data processing on the acquired data uploaded by the data acquisition device to obtain target data, including:
if the data acquisition equipment is the sensor, performing waveform processing on the acquired data of the sensor to obtain a sensor characteristic value; the waveform processing includes filtering, windowing, and fourier transforming;
performing first compression processing on the sensor characteristic value to obtain first data;
if the data acquisition equipment is the production equipment controller, carrying out second compression processing on the acquired data of the production equipment controller to obtain second data;
if the data acquisition equipment is the terminal equipment, carrying out third compression processing on the acquired data of the terminal equipment to obtain third data;
the target data includes the first data, the second data, and the third data.
Optionally, after performing data processing on the acquired data uploaded by the data acquisition device according to the data processing policy to obtain target data, the method further includes:
determining equipment operation data of the production equipment according to the sensor characteristic value, the data acquired by the production equipment controller and the data acquired by the terminal equipment;
acquiring an equipment early warning strategy; the equipment pre-warning policy is related to equipment characteristics of the production equipment;
according to the equipment early warning strategy, performing threshold early warning analysis on the equipment operation data to judge whether the production equipment has a fault;
and if the fault occurs, executing equipment alarm operation.
Optionally, after determining the device operation data of the production device according to the sensor characteristic value, the collected data of the production device controller, and the collected data of the terminal device, the method further includes:
determining the equipment operation state of the production equipment according to the equipment operation data;
if the equipment running state is a normal running state, prolonging the sampling time interval in the data acquisition strategies corresponding to the sensor, the production equipment controller and the terminal equipment;
and if the equipment running state is an abnormal running state, shortening the sampling time interval in the data acquisition strategies corresponding to the sensor, the production equipment controller and the terminal equipment.
Optionally, if the data acquisition device is the terminal device, after performing third compression processing on the acquired data of the terminal device to obtain third data, the method further includes:
and separately uploading the first data, the second data and the third data to the equipment real-time monitoring platform.
Optionally, after acquiring the data of the production device, acquired by the device operation and maintenance personnel through the terminal device, the method further includes:
carrying out structured storage on the acquired data of the sensor and the acquired data of the production equipment controller;
and carrying out unstructured storage on the collected data of the terminal equipment.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A data processing method is applied to data processing equipment arranged on an equipment side, the data processing equipment is communicated with an equipment real-time monitoring platform, and the data processing method comprises the following steps:
acquiring data acquisition strategies and data processing strategies respectively corresponding to data acquisition equipment; wherein the data acquisition device is in communication with the data processing device; different data acquisition devices adopt different data acquisition strategies and data processing strategies;
controlling the data acquisition equipment to acquire data according to the data acquisition strategy;
and according to the data processing strategy, carrying out data processing on the acquired data uploaded by the data acquisition equipment to obtain target data.
2. The data processing method of claim 1, wherein the data acquisition equipment comprises one or more of terminal equipment of equipment operation and maintenance personnel, sensors arranged on production equipment and production equipment controllers;
correspondingly, according to the data acquisition strategy, the data acquisition equipment is controlled to acquire data, and the method comprises the following steps:
if the data acquisition equipment is the sensor, controlling the sensor to acquire the data of the production equipment according to the sampling time and the number of sampling points in the corresponding data acquisition strategy and receiving the acquired data;
if the data acquisition equipment is a production equipment controller, controlling the production equipment controller to acquire the data of the production equipment according to the sampling time in the corresponding data acquisition strategy and receiving the acquired data;
if the data acquisition equipment is the terminal equipment, outputting data acquisition prompt information to the terminal equipment when the sampling time in a data acquisition strategy corresponding to the terminal equipment is reached so as to enable the equipment operation and maintenance personnel to acquire data;
and acquiring the data of the production equipment, which is acquired by the equipment operation and maintenance personnel through the terminal equipment.
3. The data processing method of claim 2, wherein performing data processing on the collected data uploaded by the data collection device according to the data processing policy to obtain target data comprises:
if the data acquisition equipment is the sensor, performing waveform processing on the acquired data of the sensor to obtain a sensor characteristic value; the waveform processing includes filtering, windowing, and fourier transforming;
performing first compression processing on the sensor characteristic value to obtain first data;
if the data acquisition equipment is the production equipment controller, carrying out second compression processing on the acquired data of the production equipment controller to obtain second data;
if the data acquisition equipment is the terminal equipment, carrying out third compression processing on the acquired data of the terminal equipment to obtain third data;
the target data includes the first data, the second data, and the third data.
4. The data processing method according to claim 3, wherein after the data processing is performed on the collected data uploaded by the data collection device according to the data processing policy to obtain target data, the method further comprises:
determining equipment operation data of the production equipment according to the sensor characteristic value, the data acquired by the production equipment controller and the data acquired by the terminal equipment;
acquiring an equipment early warning strategy; the equipment pre-warning policy is related to equipment characteristics of the production equipment;
according to the equipment early warning strategy, performing threshold early warning analysis on the equipment operation data to judge whether the production equipment has a fault;
and if the fault occurs, executing equipment alarm operation.
5. The data processing method according to claim 4, wherein after determining the device operation data of the production device based on the sensor characteristic value, the collected data of the production device controller, and the collected data of the terminal device, further comprising:
determining the equipment operation state of the production equipment according to the equipment operation data;
if the equipment running state is a normal running state, prolonging the sampling time interval in the data acquisition strategies corresponding to the sensor, the production equipment controller and the terminal equipment;
and if the equipment running state is an abnormal running state, shortening the sampling time interval in the data acquisition strategies corresponding to the sensor, the production equipment controller and the terminal equipment.
6. The data processing method according to claim 3, wherein if the data acquisition device is the terminal device, after performing third compression processing on the acquired data of the terminal device to obtain third data, the method further comprises:
and separately uploading the first data, the second data and the third data to the equipment real-time monitoring platform.
7. The data processing method according to claim 2, wherein after acquiring the data of the production equipment, which is acquired by the equipment operation and maintenance personnel through the terminal equipment, the method further comprises:
carrying out structured storage on the acquired data of the sensor and the acquired data of the production equipment controller;
and carrying out unstructured storage on the collected data of the terminal equipment.
8. The data processing device is applied to data processing equipment arranged on an equipment side, the data processing equipment is communicated with an equipment real-time monitoring platform, and the data processing device comprises:
the strategy acquisition module is used for acquiring data acquisition strategies and data processing strategies which respectively correspond to the data acquisition equipment; wherein the data acquisition device is in communication with the data processing device; different data acquisition devices adopt different data acquisition strategies and data processing strategies;
the data acquisition module is used for controlling the data acquisition equipment to acquire data according to the data acquisition strategy;
and the data processing module is used for processing the acquired data uploaded by the data acquisition equipment according to the data processing strategy to obtain target data.
9. A data processing apparatus for running a program, wherein the program when running performs the data processing method of any one of claims 1 to 7.
10. A data processing system comprising a plurality of data processing devices according to claim 9 and a real-time monitoring platform for said devices.
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| PCT/CN2019/117381 WO2021017280A1 (en) | 2019-07-31 | 2019-11-12 | Data processing method and apparatus |
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