CN112422661A - Industrial Internet of things data acquisition integrated system - Google Patents
Industrial Internet of things data acquisition integrated system Download PDFInfo
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- CN112422661A CN112422661A CN202011238005.XA CN202011238005A CN112422661A CN 112422661 A CN112422661 A CN 112422661A CN 202011238005 A CN202011238005 A CN 202011238005A CN 112422661 A CN112422661 A CN 112422661A
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- 230000005540 biological transmission Effects 0.000 claims abstract description 56
- 238000013500 data storage Methods 0.000 claims abstract description 7
- 230000003993 interaction Effects 0.000 claims abstract description 6
- 238000012544 monitoring process Methods 0.000 claims abstract description 6
- 238000004891 communication Methods 0.000 claims description 79
- 230000035772 mutation Effects 0.000 claims description 19
- 238000012545 processing Methods 0.000 claims description 13
- 238000001514 detection method Methods 0.000 claims description 11
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 7
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- 230000010354 integration Effects 0.000 abstract description 14
- 238000007405 data analysis Methods 0.000 description 4
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- 238000005516 engineering process Methods 0.000 description 3
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- H—ELECTRICITY
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract
The invention relates to an industrial Internet of things data acquisition and integration system, which is characterized in that a collection layer is used for collecting bottom data and eliminating differences, a transmission layer is used for realizing data transmission from a field to a cloud, and a platform application layer is used for data storage, interaction and monitoring of acquisition equipment. The invention supports abundant data acquisition protocols and meets the requirements of different acquisitions; the automation is high, and the acquisition software can be automatically deployed, remotely operated and maintained and upgraded; the configuration flexibility is high, and the acquired content and data semantics can be configured according to the self requirements of the factory; the data channel is stable, real-time and efficient.
Description
Technical Field
The present invention relates to control or regulation systems in general; functional units of such a system; the technical field of monitoring or testing devices for the system or the unit, in particular to a scene industrial Internet of things data acquisition and integration system which is suitable for intelligent factory construction and can quickly acquire and integrate industrial Internet of things underlying data.
Background
With the proposal of the industrial 4.0 concept, the technologies of internet of things, edge computing, cloud computing, artificial intelligence and the like are increasingly widespread in the industrial field, and automation, informatization and intelligence are future development directions of the industry.
In order to promote the intelligent development of the industry, break through the data barrier between the bottom layer data and the upper layer system, eliminate information isolated islands, and from the three aspects of bottom layer data acquisition integration, data transmission and data storage, an industrial internet of things data acquisition integrated system is urgently needed to be constructed, and a data basis is made for the application functions of upper layer big data analysis and the like.
However, in the process of data transmission from the bottom layer to the upper layer system, the following problems need to be solved:
1. because the number of equipment manufacturers is huge, the protocols for data acquisition are very many, and data acquisition integration among different protocols is required;
2. data semantics among different data cannot be unified, and data integration and model integration are required to be realized;
3. the data link of the industrial field is unstable, and the stability of a data transmission channel needs to be ensured.
Disclosure of Invention
The invention solves the problems in the prior art and provides an optimized industrial Internet of things data acquisition and integration system.
The technical scheme adopted by the invention is that an industrial Internet of things data acquisition and integration system comprises:
the acquisition layer is used for acquiring bottom data and eliminating differences;
the transmission layer is used for realizing data transmission from a field to a cloud;
and the platform application layer is used for data storage, interaction and monitoring of acquisition equipment.
Preferably, the acquisition layer configures a plurality of communication protocols, and corresponds to a plurality of devices based on the plurality of communication protocols.
Preferably, the data collected by the collection layer comprises process parameters, count values, code reading data, status codes and file data.
Preferably, the data acquired by the acquisition layer is processed, the processing comprising the steps of:
step 1: cleaning data collected by the collection layer, counting and deleting repeated parts if repeated data exist, and adding an identifier to the counting content;
step 2: correcting the data processed in the step 1, uniformly processing the non-compliant data, and supplementing bits to a preset length;
and step 3: folding the processed data based on a preset rule to acquire a data fingerprint;
and 4, step 4: and taking the data fingerprint as data to be transmitted.
Preferably, the transport layer uses MQTT protocol as communication transport layer.
Preferably, a buffer area is arranged between the acquisition layer and the transmission layer; when the channel between the collection layer and the transmission layer is closed or disconnected, the data in transmission is stored in the buffer area.
Preferably, a main communication channel and an auxiliary communication channel are arranged between the buffer area and the transmission layer, the main communication channel is opened by default, the auxiliary communication channel is closed by default, a detection channel is arranged in cooperation with the main communication channel, and the detection channel sends a heartbeat packet;
when the main communication channel is closed or disconnected, the opening state of the main communication channel is kept, the auxiliary communication channel is switched to be opened, and data are normally transmitted to the transmission layer from the auxiliary communication channel; closing the main communication channel, and sending a heartbeat packet by the detection channel at a preset frequency;
and when the response of the transmission layer to the heartbeat packet is received, opening the main communication channel, keeping the auxiliary communication channel open until the data can be normally transmitted from the main communication channel to the transmission layer, and closing the auxiliary communication channel.
Preferably, the platform application layer integrates the bottom data from the acquisition layer and the business data from the user based on the MongoDB database; the configuration of the service data comprises a gateway, equipment and a point location, wherein the gateway, the equipment and the point location correspond to the gateway, the equipment and the point location of the acquisition layer.
Preferably, when the states of the reaction devices of different brands are in the same state, if the values acquired by the acquisition layer are different, the target value is set, and the rule of device state calculation is informed to the platform application layer.
Preferably, if the acquisition layer receives one or more mutation data within a set certain time, a monitoring program is triggered, the user manually judges the mutation data, and simultaneously inputs the one or more mutation data into a preset fault model, and if the matching is successful, the alarm is directly given; after treatment, the characteristics of the mutation data were recorded.
The invention relates to an optimized industrial Internet of things data acquisition and integration system, which is characterized in that a collection layer is used for collecting bottom data and eliminating differences, a transmission layer is used for realizing data transmission from a field to a cloud, and a platform application layer is used for data storage, interaction and monitoring of acquisition equipment.
The invention has the beneficial effects that:
1. the method supports abundant data acquisition protocols and meets the requirements of different acquisitions;
2. the automation is high, and the acquisition software can be automatically deployed, remotely operated and maintained and upgraded;
3. the configuration flexibility is high, and the acquired content and data semantics can be configured according to the self requirements of the factory;
4. the data channel is stable, real-time and efficient.
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Fig. 1 is a schematic structural diagram of the present invention, wherein arrows indicate data transmission directions.
Detailed Description
The present invention is described in further detail with reference to the following examples, but the scope of the present invention is not limited thereto.
The invention relates to an industrial Internet of things data acquisition and integration system which is integrally divided into an acquisition layer, a transmission layer and a platform application layer; wherein,
the acquisition layer acquires data from the bottom layer through acquisition protocols, sensors and the like, performs data integration and edge calculation, and solves the technical problems of data acquisition of different protocols and semantics among different types of data.
The transmission layer uses MQTT protocol to transmit data, is stable and efficient, and ensures that the data is not lost by using a breakpoint continuous transmission function;
the platform application layer realizes persistence of data at the cloud, interacts with the acquisition layer through acquisition configuration, and provides corresponding point location configuration for the big data analysis platform.
The acquisition layer is used for acquiring bottom data and eliminating differences;
the acquisition layer is configured with a plurality of communication protocols and corresponds to a plurality of devices based on the plurality of communication protocols.
The data collected by the collecting layer comprises process parameters, counting values, code reading data, state codes and file data.
Processing the data acquired by the acquisition layer, wherein the processing comprises the following steps:
step 1: cleaning data collected by the collection layer, counting and deleting repeated parts if repeated data exist, and adding an identifier to the counting content;
step 2: correcting the data processed in the step 1, uniformly processing the non-compliant data, and supplementing bits to a preset length;
and step 3: folding the processed data based on a preset rule to acquire a data fingerprint;
and 4, step 4: and taking the data fingerprint as data to be transmitted.
In the invention, the communication protocol configured by the acquisition layer comprises but is not limited to standard communication protocols of dozens of PLCs such as MODBUS, Siemens, Onglong, OPC UA, OPC DA and the like, communication protocols of various types of sensors, card readers and self-defined types of electric meters, and bottom data can be read through the communication protocols or databases or files such as MySQL, SqlServer, Access, csv, txt and the like; but also to efficiently and quickly access some of the plant specific communication protocols.
In the invention, the data collected by the collecting layer has more types, including process parameters, counting values, code reading data, state codes and file data;
the technological parameters are temperature, pressure, rotating speed and the like;
the counting value is a counting type value such as yield, qualified number and the like;
the state code is equipment state, fault code and the like;
the code reading data is data read by the sensor and the code reading device;
the file data is data acquired from an upper computer database or a file.
In the invention, such a great variety of data are collected and are collected by different types of equipment and different types of protocols, the data of the same type may have differences, and in order to integrate the data, eliminate the differences and convert the data into a uniform data format type, the functions of edge calculation, data integration and the like are developed in the device of the collection layer; specifically, a uniform data channel middleware is established for data collected by the collection layer, a uniform interface is provided for a user, the uniform interface is used for compiling a calculation script in a user-defined mode, when the data passes through the data channel middleware, whether edge calculation needs to be carried out or not can be freely selected, an existing script is selected for calculation, and therefore more valuable data are obtained.
According to the invention, the data collected by the collection layer is cleaned, most repeated or worthless data can be processed, and in order to avoid missing special repeated data, the deleted repeated content is counted and marked.
In the invention, the processed data are corrected, and the non-compliant data are processed in a unified way, which means that the data submitted by the equipment may have some differences which cannot be modified on the premise that the equipment has differences and the communication protocol has differences, and the data are replaced by a format arranged in the system, for example, "#" is used for replacing capital letters; and finally, complementing all the data to be transmitted to a preset length for subsequent processing, wherein the complementing bits are generally processed by 0 or 1.
In the invention, the processed data are folded based on a preset rule, for example, the data are respectively folded based on the rule of the data, and the data fingerprint is obtained; the length of data is greatly reduced in the folding process, and the calculation amount is reduced, for example, capital letters are uniformly folded into #, and invalid contents in the time stamp are as follows: "," - "delete, etc., and finally take the data fingerprint as the data to be transmitted.
The transmission layer is used for realizing data transmission from a field to a cloud;
the transmission layer takes MQTT protocol as a communication transmission layer.
A buffer area is arranged between the acquisition layer and the transmission layer; when the channel between the collection layer and the transmission layer is closed or disconnected, the data in transmission is stored in the buffer area.
A main communication channel and an auxiliary communication channel are arranged between the cache region and the transmission layer, the main communication channel is opened by default, the auxiliary communication channel is closed by default, a detection channel is arranged by matching with the main communication channel, and the detection channel sends a heartbeat packet;
when the main communication channel is closed or disconnected, the opening state of the main communication channel is kept, the auxiliary communication channel is switched to be opened, and data are normally transmitted to the transmission layer from the auxiliary communication channel; closing the main communication channel, and sending a heartbeat packet by the detection channel at a preset frequency;
and when the response of the transmission layer to the heartbeat packet is received, opening the main communication channel, keeping the auxiliary communication channel open until the data can be normally transmitted from the main communication channel to the transmission layer, and closing the auxiliary communication channel.
According to the invention, the transmission layer realizes data transmission from the field to the cloud through a wired or wireless communication technology, the communication transmission layer of the system is constructed on the basis of the MQTT protocol, and the MQTT characteristic is very suitable for data transmission characterized by small data volume and high concurrency.
In the invention, a breakpoint continuous transmission function is set in the transmission layer, and when the transmission channel is closed, the data is temporarily stored in the cache region between the acquisition layer and the transmission layer so as to be uploaded after the channel is recovered, and the data is ensured not to be lost, thereby stabilizing the channel for transmitting the data from an industrial field to a cloud, and ensuring the real-time performance and the high efficiency of the data.
In the invention, specifically, a main communication channel and an auxiliary communication channel are arranged between a buffer area and a transmission layer, data transmission is carried out through the main communication channel under normal conditions, and the auxiliary communication channel is closed by default; setting a detection channel for sending heartbeat packets at fixed time through a main communication channel;
the state that the main communication channel is closed or disconnected can be known by the data loss rate, and can also be obtained by a heartbeat packet, at the moment, the main communication channel is not closed, meanwhile, the auxiliary communication channel is switched on, and data is normally transmitted to a transmission layer from the auxiliary communication channel; when the main communication channel is closed, the detection channel sends a heartbeat packet at a preset frequency;
and after receiving the response of the transmission layer to the heartbeat packet, opening the main communication channel, keeping the auxiliary communication channel open until the data can be normally transmitted from the main communication channel to the transmission layer, and closing the auxiliary communication channel.
In the invention, if the auxiliary communication channel can not work normally, the data is stored in the buffer area continuously, and the recovery of the main communication channel is waited; even if the auxiliary communication channel is opened, the transmission speed of the auxiliary communication channel is smaller than that of the main communication channel, and the situation that a large amount of data is flooded is guaranteed.
And the platform application layer is used for data storage, interaction and monitoring of acquisition equipment.
The platform application layer integrates the bottom layer data from the acquisition layer and the service data from the user based on a MongoDB database; the configuration of the service data comprises a gateway, equipment and a point location, wherein the gateway, the equipment and the point location correspond to the gateway, the equipment and the point location of the acquisition layer.
When the states of the reaction equipment of different brands are in the same state, if the values acquired by the acquisition layer are different, the target value is set, and the rule of equipment state calculation is informed to the platform application layer.
If the acquisition layer receives one or more mutation data within a set certain time, triggering a monitoring program, manually judging by a user, simultaneously inputting the one or more mutation data into a preset fault model, and directly alarming if matching is successful; after treatment, the characteristics of the mutation data were recorded.
In the invention, the platform application layer carries out persistence processing on the data uploaded by the MQTT protocol, a data warehouse is built at the cloud, the system uses the mongodb database with more excellent performance and flat data storage in consideration of the performance problem, and the bottom data is combined with the business data.
In the invention, the data is collected as a link for interaction between a user and a collection layer, how to use the data is closely related to collection configuration, the collection layer obtains the related data through the collection configuration, the configuration is divided into three granularities of a gateway, equipment and a point location, the structural hierarchy is clearer, and the management is clear; the flexible configuration option can meet the acquisition requirement, has certain positive configuration, and can play a key role in the subsequent processing of data.
In the invention, a threshold value can be set on a platform application layer and is used for filtering mutation data of an excessively short time interval;
in fact, most of the time is not filtered, the occurrence of mutation data is more likely to be the special condition of the equipment, if the acquisition layer receives one or more mutation data within a set certain time, a monitoring program is triggered and manually judged by a user, and meanwhile, the one or more mutation data are input into a preset fault model which can be a trained classifier/network, the fault type is matched by analyzing the characteristics of the mutation data, and if the matching is successful, an alarm is directly given; meanwhile, whether the fault exists or not, the characteristics of mutation data, such as mutation quantity, mutation time point, mutation duration and the like, are recorded after processing, and a fault model is further improved.
According to the invention, data are acquired by matching the application modules such as big data analysis and visualization through relevant configuration, so that the problem that data semantics cannot be unified is solved, human language is converted into machine language through matching of configuration information among multiple applications, and upper-layer applications can understand differences among different data, so that the data are unified and standard.
According to the invention, the acquisition layer equipment is monitored in real time and is subjected to health management, so that problems can be found quickly, corresponding equipment can be found, processing can be carried out more quickly and better, and the stability of data is guaranteed.
The technology is used online in a certain electric appliance factory, the factory equipment and acquisition protocols are various, the data acquisition and data integration of the whole factory are realized in a short time by the industrial Internet of things data acquisition and integration system, the construction speed of an intelligent factory is effectively improved, a stable and reliable communication system of multi-source heterogeneous data between a cloud and an industrial field is provided, and data guarantee is provided for a big data analysis platform.
Claims (10)
1. The utility model provides an integrated system of industry thing networking data acquisition which characterized in that: the system comprises:
the acquisition layer is used for acquiring bottom data and eliminating differences;
the transmission layer is used for realizing data transmission from a field to a cloud;
and the platform application layer is used for data storage, interaction and monitoring of acquisition equipment.
2. The industrial internet of things data acquisition integrated system according to claim 1, characterized in that: the acquisition layer is configured with a plurality of communication protocols and corresponds to a plurality of devices based on the plurality of communication protocols.
3. The industrial internet of things data acquisition integrated system according to claim 2, characterized in that: the data collected by the collecting layer comprises process parameters, counting values, code reading data, state codes and file data.
4. The industrial internet of things data acquisition integrated system according to claim 3, wherein: processing the data acquired by the acquisition layer, wherein the processing comprises the following steps:
step 1: cleaning data collected by the collection layer, counting and deleting repeated parts if repeated data exist, and adding an identifier to the counting content;
step 2: correcting the data processed in the step 1, uniformly processing the non-compliant data, and supplementing bits to a preset length;
and step 3: folding the processed data based on a preset rule to acquire a data fingerprint;
and 4, step 4: and taking the data fingerprint as data to be transmitted.
5. The industrial internet of things data acquisition integrated system according to claim 1, characterized in that: the transmission layer takes MQTT protocol as a communication transmission layer.
6. The industrial internet of things data acquisition integrated system according to claim 1, characterized in that: a buffer area is arranged between the acquisition layer and the transmission layer; when the channel between the collection layer and the transmission layer is closed or disconnected, the data in transmission is stored in the buffer area.
7. The industrial internet of things data acquisition integrated system according to claim 6, wherein: a main communication channel and an auxiliary communication channel are arranged between the cache region and the transmission layer, the main communication channel is opened by default, the auxiliary communication channel is closed by default, a detection channel is arranged by matching with the main communication channel, and the detection channel sends a heartbeat packet;
when the main communication channel is closed or disconnected, the opening state of the main communication channel is kept, the auxiliary communication channel is switched to be opened, and data are normally transmitted to the transmission layer from the auxiliary communication channel; closing the main communication channel, and sending a heartbeat packet by the detection channel at a preset frequency;
and when the response of the transmission layer to the heartbeat packet is received, opening the main communication channel, keeping the auxiliary communication channel open until the data can be normally transmitted from the main communication channel to the transmission layer, and closing the auxiliary communication channel.
8. The industrial internet of things data acquisition integrated system according to claim 1, characterized in that: the platform application layer integrates the bottom layer data from the acquisition layer and the service data from the user based on a MongoDB database; the configuration of the service data comprises a gateway, equipment and a point location, wherein the gateway, the equipment and the point location correspond to the gateway, the equipment and the point location of the acquisition layer.
9. The industrial internet of things data acquisition integrated system according to claim 8, wherein: when the states of the reaction equipment of different brands are in the same state, if the values acquired by the acquisition layer are different, the target value is set, and the rule of equipment state calculation is informed to the platform application layer.
10. The industrial internet of things data acquisition integrated system according to claim 8, wherein: if the acquisition layer receives one or more mutation data within a set certain time, triggering a monitoring program, manually judging by a user, simultaneously inputting the one or more mutation data into a preset fault model, and directly alarming if matching is successful; after treatment, the characteristics of the mutation data were recorded.
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| CN114003819A (en) * | 2021-11-27 | 2022-02-01 | 上海迪塔班克数据科技有限公司 | Internet data acquisition method and system based on chemical plastic industry |
| CN114244698A (en) * | 2021-11-24 | 2022-03-25 | 中盈优创资讯科技有限公司 | CPE management configuration method based on MQTT |
| CN115277723A (en) * | 2022-07-19 | 2022-11-01 | 国能信控互联技术有限公司 | Buffer event-based breakpoint continuous transmission method and system for edge acquisition history module |
| CN115604081A (en) * | 2022-10-17 | 2023-01-13 | 厦门兴南洋信息技术有限公司（Cn） | Intelligent gateway with edge computing function |
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Application publication date: 20210226 |