CN117880338B - Data acquisition system based on internet of things equipment - Google Patents
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Abstract
The invention discloses a data acquisition system based on internet of things equipment, which relates to the technical field of data acquisition and solves the problem that the data acquisition efficiency is too slow due to frequent transmission protocol conversion of an original acquisition mode.
Description
Technical Field
The invention relates to the technical field of data acquisition, in particular to a data acquisition system based on Internet of things equipment.
Background
Internet of things devices are physical objects connected to the internet that are capable of collecting and exchanging data. These devices typically have embedded sensors, software and other technologies that enable them to communicate with each other or interact with the user through a central system.
The application with the publication number of CN116743886A discloses an industrial control equipment data acquisition system based on the Internet of things, relates to the technical field of industrial data acquisition, and is used for solving the problems that the existing industrial control equipment has different data acquisition protocols and industrial data are dirty data, direct storage cannot be used for analysis, so that the data acquisition difficulty is high and the later data is inconvenient to use; according to the invention, the data acquisition protocols are encapsulated according to the interface specifications through the drive adapter to form the adapter, different data acquisition protocol libraries are encapsulated into the drive adapters to form the adapter libraries, and a unified interface between the server and the adapter is defined; and analyzing and processing the acquired data through a data analysis unit, and executing corresponding operation, so as to store the processed data.
When data acquisition is carried out on the Internet of things equipment, the transmission protocols adopted among different Internet of things equipment are different, so that the transmission protocols are required to be converted one by one during data acquisition, the data acquisition is carried out on the different Internet of things equipment, but in an original acquisition mode, the transmission protocols are frequently converted, the data acquisition efficiency is too slow, the data flow is huge, and data confusion can occur after the acquisition is finished.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a data acquisition system based on Internet of things equipment, which solves the problem that the data acquisition efficiency is too slow due to frequent transmission protocol conversion of an original acquisition mode.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the data acquisition system based on the Internet of things equipment acquires a flow confirmation end, determines an acquisition flow based on data flow guidance among the Internet of things equipment, confirms the specific acquisition flow by an operator, extracts a transmission protocol corresponding to the Internet of things equipment from a database, and sequences the transmission protocol according to the acquisition flow to generate a transmission protocol sequence;
The conversion rule generating end confirms the same transmission protocol based on the determined transmission protocol sequence, extracts the same transmission protocol, generates the same kind of protocol sequence, transmits the generated several groups of same kind of protocol sequences into the period data merging end, and generates the protocol conversion rule according to the specific sequencing ranking of the same kind of protocol sequences, and comprises the following steps:
extracting and confirming the same kind of protocol sequence from the same transmission protocol in the transmission protocol sequence, and setting 'X' at a blank position of an interval between the same kind of protocols, wherein the position is represented by other protocols and does not belong to the same kind of protocol sequence;
Based on the determined similar protocol sequence, confirming the names of similar protocols in the sequence from front to back according to the circulation direction, wherein the names are represented by numbers, if the similar protocols exist at the first position in the similar protocol sequence, calibrating a first group of names '1', sequentially confirming the names of the subsequent similar protocols, and confirming the sorting value according to the existence number and the total name value of the similar protocols, wherein the sorting value is adopted: ranking value of the same kind of protocol sequence is confirmed;
Based on the specific sequencing values of different similar protocol sequences, sequencing the similar protocols according to the mode that the sequencing values are from small to large, generating protocol conversion rules, and transmitting the generated protocol conversion rules into a periodic data acquisition end;
the periodic data acquisition end performs data acquisition on the corresponding internet-of-things equipment in the acquisition process based on the determined protocol conversion rule and transmits different data packets acquired by different transmission protocols to the periodic data merging end, wherein the specific mode is as follows:
Extracting a first group of transmission protocols of the rule according to the determined protocol conversion rule, collecting the data of the internet of things equipment related to the transmission protocol, generating a data packet of the corresponding transmission protocol, and generating the data packet of the collection period according to the set collection period;
According to the protocol conversion rule, sequentially acquiring the data of the Internet of things equipment corresponding to the subsequent different transmission protocols by adopting the different transmission protocols, generating data packets of the different transmission protocols, and transmitting a plurality of acquired data packets into a period data merging end;
the period data merging terminal sorts the data in the data packets according to the number of times of conversion of the IP addresses in the data packets according to the data packets collected in the period, integrates and merges the data packets according to the determined groups of similar protocol sequences, and generates period data in the period, wherein the specific mode is as follows:
Confirming a data packet corresponding to a transmission protocol, sorting different collected data in the data packet according to the number of times of change of an IP address of the data packet and a sorting mode from small to large according to the number of times of change, extracting a similar protocol sequence corresponding to the transmission protocol based on the transmission protocol, sequentially filling the sorted collected data to the sorting position of the corresponding transmission protocol according to the sorting position of equipment in the similar protocol sequence in a front-to-back mode, and generating a data sequence corresponding to the corresponding transmission protocol;
Processing other data packets in the same way to generate data sequences corresponding to the other data packets;
based on the generated plurality of groups of data sequences, the plurality of groups of data sequences are integrated according to the positions of the data according to a front-to-back mode to generate cycle data acquired by a cycle.
Preferably, the method further comprises:
The database internally comprises different characteristic intervals, wherein the characteristic intervals are drawn up by operators in advance according to experience, and the different characteristic intervals have different characteristic assignments;
The periodic data classification end receives the determined periodic data and classifies the characteristics of a plurality of groups of periodic data based on the specific characteristics of the periodic data; the specific method is as follows:
When the received periodic data reaches N groups, carrying out feature classification, wherein N is a preset value;
comparing the periodic data with a characteristic interval in the database, determining characteristic assignment based on comparison results, generating characteristic assignment if the corresponding characteristic of the periodic data belongs to the characteristic interval, generating a parameter '0' if the corresponding characteristic of the periodic data does not belong to the characteristic interval, and generating a characteristic assignment sequence belonging to the periodic data according to a specific comparison result;
based on the characteristic assignment sequences generated by different periodic data, a plurality of groups of periodic data with identical characteristic assignment sequences are divided into the same class, and the periodic data of different classes are stored in different storage spaces.
The invention provides a data acquisition system based on Internet of things equipment. Compared with the prior art, the method has the following beneficial effects:
According to the method, the data circulation guidance among different Internet of things equipment is confirmed, the acquisition flow is confirmed, the corresponding transmission protocol is extracted, the acquisition priority of the different Internet of things equipment is determined based on the sequence of the transmission protocol, the Internet of things equipment is subjected to data acquisition and corresponding data packets are generated based on the priority, the data packets are integrated based on the originally determined corresponding sequence, and corresponding periodic data are confirmed;
And comparing the acquired periodic data with the characteristic interval to determine the characteristic assignment, generating a corresponding assignment sequence based on the characteristic assignment, classifying and storing the characteristics according to different assignment sequences of different periodic data, and storing the periodic data of the same type of characteristics in the same place to ensure the subsequent data analysis and extraction and improve the overall management effect of the periodic data.
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FIG. 1 is a schematic diagram of a principal frame of the present invention;
Fig. 2 is a schematic diagram of a transmission protocol according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, the application provides a data acquisition system based on internet of things equipment, which comprises an acquisition flow confirming end, a database, a conversion rule generating end, a periodic data acquisition end, a periodic data merging end and a periodic data classification end;
The system comprises an acquisition flow confirming end, a conversion rule generating end, a periodic data acquisition end, a periodic data merging end and a periodic data classifying end, wherein the acquisition flow confirming end, the conversion rule generating end, the periodic data collecting end, the periodic data merging end and the periodic data classifying end are sequentially and electrically connected from an output node to an input node;
The acquisition flow confirmation end determines an acquisition flow based on data flow guidance among the internet of things devices, the specific acquisition flow is confirmed by an operator, then a transmission protocol corresponding to the internet of things device is extracted from a database, the transmission protocols are sequenced according to the acquisition flow, a transmission protocol sequence is generated, in particular, the ten sets of the internet of things devices with data flow are respectively 1-2-3-4-5-6-7-8-9-10, the '-' is the data flow guidance, the acquisition flow is a unidirectional acquisition flow, if a multidirectional flow condition exists, other acquisition flows are generated, the ten sets of the internet of things devices are respectively A, B, C and D transmission protocols, wherein the transmission protocols adopted by 1,5 and 8 are A protocols, the transmission protocols adopted by 2 and 7 are B protocols, the transmission protocols adopted by 3, 6 and 10 are C protocols, the transmission protocols adopted by 4 and 9 are D protocols, and the generated transmission protocol sequence is: A-B-C-D-A-C-B-A-D-C, when the datase:Sub>A acquisition of the whole acquisition process is completed, protocol conversion is required to be carried out according to the transmission protocol of the transmission protocol sequence, and the datase:Sub>A acquisition process of the whole acquisition process is completed;
the conversion rule generating end confirms the same transmission protocol based on the determined transmission protocol sequence, extracts the same transmission protocol, generates the same kind of protocol sequence, transmits the generated several groups of same kind of protocol sequences into the period data merging end, and generates the protocol conversion rule according to the specific sequencing ranking of the same kind of protocol sequence, wherein the specific mode for generating the protocol conversion rule comprises the following steps:
Extracting and confirming the same kind of protocol sequence from the same transmission protocol in the transmission protocol sequence, setting 'X' at a blank position of an interval between the same kind of protocols, wherein the position is represented by other protocols and does not belong to the same kind of protocol sequence, and the example is as follows: referring to fig. 2, the transmission protocol sequence is ase:Sub>A-B-C-D-ase:Sub>A-C-B-ase:Sub>A-D-C, the like ase:Sub>A protocol is extracted, and the like ase:Sub>A protocol sequence is ase:Sub>A-x-ase:Sub>A-x when the like B protocol is extracted: x-B-x, then the same class of protocol sequences generated for C and D are: x-C and x-D-x-D-x;
Based on the determined similar protocol sequence, confirming the names of similar protocols in the sequence from front to back according to the circulation direction, wherein the names are represented by numbers, if the similar protocols exist at the first position in the similar protocol sequence, calibrating a first group of names '1', and after the names of the subsequent similar protocols are confirmed in sequence, adopting the following steps according to the existence number and the total name value of the similar protocols: ranking value of homogeneous protocol of the present homogeneous protocol sequence is confirmed, for example: if the same type of protocol sequence is the A protocol sequence, namely: a-x-a-x, the ranking generated by the a protocol is: 1.5, 8, there are three sets of a protocols, then the resulting ranking values are: (1+5+8)/(3=4.66, wherein 4.66 is the sorting value of the A protocol, and then the B, C and the D protocols are analyzed to determine the corresponding sorting value;
Based on the specific sequencing value of different similar protocol sequences, sequencing the same type of protocols according to the mode that the sequencing value is small to large, generating a protocol conversion rule, transmitting the generated protocol conversion rule into a periodic data acquisition end, and specifically, after the sequencing value is confirmed, sequencing the generated protocol conversion rule as follows: BACD, according to the ordering of the same kind of protocols, sequentially collecting the devices of different protocols, when the ordering of the same kind of protocols is in front, representing that the data generated by the devices are relatively in front on a time line, and when the ordering of the same kind of protocols is in back, representing that the data generated by the devices are relatively in back on the time line, then the relatively back data can be collected for a prolonged time, and based on the determined conversion rule, the delay of the data can be ensured to be minimized in the collecting process, and the integral effect of the data collection can be ensured.
Example two
In the specific implementation process of the embodiment, compared with the above embodiment, the present embodiment mainly aims at sorting and merging the collected data, and confirms the circulation data among a plurality of devices;
The periodic data acquisition end performs data acquisition on corresponding internet of things equipment in an acquisition process based on the determined protocol conversion rule, and transmits different data packets acquired by different transmission protocols to the periodic data merging end, wherein the specific mode of performing data acquisition is as follows:
Extracting a first group of transmission protocols of the rule according to the determined protocol conversion rule, collecting the data of the internet of things equipment related to the transmission protocol, generating a data packet of the corresponding transmission protocol, and generating the data packet of the collection period according to the set collection period;
According to the protocol conversion rule, sequentially acquiring the data of the Internet of things equipment corresponding to the subsequent different transmission protocols by adopting the different transmission protocols, generating data packets of the different transmission protocols, and transmitting a plurality of acquired data packets into a period data merging end;
Specifically, for the internet of things equipment with different transmission protocols, different transmission protocols are adopted to collect equipment data, and data of the same type of transmission protocols are bound according to collected data generated in the collection process to generate corresponding data packets, so that the periodic data collection work is completed.
The method comprises the steps that a period data merging end sorts data in the data packets according to the number of times of conversion of IP addresses in the data packets according to the data packets acquired in the period, integrates and merges the data packets according to the determined groups of similar protocol sequences to generate period data in the period, and transmits the period data to a period data classification end, wherein the specific mode of integrating and merging is as follows:
Confirming a data packet corresponding to a transmission protocol, sorting different collected data in the data packet according to the number of times of change of an IP address of the data packet and a sorting mode from small to large according to the number of times of change, extracting a similar protocol sequence corresponding to the transmission protocol based on the transmission protocol, sequentially filling the sorted collected data to the sorting position of the corresponding transmission protocol according to the sorting position of equipment in the similar protocol sequence in a front-to-back mode, and generating a data sequence corresponding to the corresponding transmission protocol;
Processing other data packets in the same way to generate data sequences corresponding to the other data packets;
Based on the generated plurality of groups of data sequences, integrating the plurality of groups of data sequences according to the positions of the data according to a front-to-back mode to generate cycle data acquired by a cycle;
Specifically, when the data is collected, circulation guidance exists among the data, and when the collected data is the data of the third group of equipment, the IP address in the data is changed twice, so that the collected data can be arranged;
The corresponding similar protocol sequences are determined before acquisition, the data can be directly sequenced according to the front-back sequence of the data, the corresponding data sequences can be determined according to the same sequencing mode of the similar protocol sequences, and the blank positions are marked by X, so that a plurality of groups of data sequences can be directly integrated, and the periodic data acquired in the period can be determined.
Example III
In the specific implementation process, compared with the above embodiments, the main difference of the present embodiment is that the present embodiment is mainly aimed at classification processing of data, so as to facilitate storage of classified data subsequently;
The database comprises different characteristic intervals, wherein the characteristic intervals are drawn up by operators in advance according to experience, and the different characteristic intervals have different characteristic assignments;
The periodic data classification terminal receives the determined periodic data and classifies the characteristics of a plurality of groups of periodic data based on specific characteristics of the periodic data, wherein the specific mode for classifying the characteristics is as follows:
when the received periodic data reach N groups, carrying out feature classification, wherein N is a preset value, and the specific value is drawn by an operator according to experience;
Comparing the periodic data with a characteristic interval in a database, determining characteristic assignment based on comparison results, generating characteristic assignment if the corresponding characteristic of the periodic data belongs to the characteristic interval, generating a parameter '0', generating a characteristic assignment sequence belonging to the periodic data according to a specific comparison result, specifically, when the characteristic comparison is performed, conforming to a corresponding comparison rule, namely, one-to-one arranged characteristic interval, and determining the characteristic assignment according to a specific comparison result;
Based on the characteristic assignment sequences generated by different periodic data, dividing a plurality of groups of periodic data with identical characteristic assignment sequences into the same class, and storing the periodic data of different classes in different storage spaces;
specifically, in order to ensure that the stored data are similar in characteristics, characteristic analysis is performed on the periodic data to determine characteristic assignment sequences corresponding to different periodic data, the different periodic data correspond to different characteristic assignment sequences, and according to specific numerical values of the assignment sequences, the different periodic data can be classified, so that characteristic classification of a plurality of periodic data is completed, and a better storage effect is achieved.
Example IV
This embodiment includes all of the three embodiments described above in the specific implementation.
Some of the data in the above formulas are numerical calculated by removing their dimensionality, and the contents not described in detail in the present specification are all well known in the prior art.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (3)
1. Data acquisition system based on thing networking device, its characterized in that includes:
The acquisition flow confirming end confirms the acquisition flow based on the data flow guidance between the internet of things devices, the specific acquisition flow is confirmed by an operator, then the transmission protocol corresponding to the corresponding internet of things device is extracted from the database, and the transmission protocol is ordered according to the acquisition flow to generate a transmission protocol sequence;
The conversion rule generating end confirms the same transmission protocol based on the determined transmission protocol sequence, extracts the same transmission protocol, generates the same kind of protocol sequence, transmits the generated several groups of same kind of protocol sequences into the period data merging end, and generates the protocol conversion rule according to the specific sequencing ranking of the same kind of protocol sequences, and comprises the following steps:
extracting and confirming the same kind of protocol sequence from the same transmission protocol in the transmission protocol sequence, and setting 'X' at a blank position of an interval between the same kind of protocols, wherein the position is represented by other protocols and does not belong to the same kind of protocol sequence;
Based on the determined similar protocol sequence, confirming the names of similar protocols in the sequence from front to back according to the circulation direction, wherein the names are represented by numbers, if the similar protocols exist at the first position in the similar protocol sequence, calibrating a first group of names '1', sequentially confirming the names of the subsequent similar protocols, and confirming the sorting value according to the existence number and the total name value of the similar protocols, wherein the sorting value is adopted: ranking value of the same kind of protocol sequence is confirmed;
Based on the specific sequencing values of different similar protocol sequences, sequencing the similar protocols according to the mode that the sequencing values are from small to large, generating protocol conversion rules, and transmitting the generated protocol conversion rules into a periodic data acquisition end;
The periodic data acquisition end is used for carrying out data acquisition on corresponding Internet of things equipment in an acquisition process based on the determined protocol conversion rule and transmitting different data packets acquired by different transmission protocols into the periodic data merging end;
the period data merging end sorts the data in the data packets according to the number of times of conversion of the IP addresses in the data packets according to the data packets acquired in the period, integrates and merges the data packets according to the determined groups of similar protocol sequences, and generates period data in the period;
The database internally comprises different characteristic intervals, wherein the characteristic intervals are drawn up by operators in advance according to experience, and the different characteristic intervals have different characteristic assignments;
The periodic data classification end receives the determined periodic data and classifies the characteristics of a plurality of groups of periodic data based on the specific characteristics of the periodic data; the specific mode for classifying the characteristics is as follows:
When the received periodic data reaches N groups, carrying out feature classification, wherein N is a preset value;
comparing the periodic data with a characteristic interval in the database, determining characteristic assignment based on comparison results, generating characteristic assignment if the corresponding characteristic of the periodic data belongs to the characteristic interval, generating a parameter '0' if the corresponding characteristic of the periodic data does not belong to the characteristic interval, and generating a characteristic assignment sequence belonging to the periodic data according to a specific comparison result;
based on the characteristic assignment sequences generated by different periodic data, a plurality of groups of periodic data with identical characteristic assignment sequences are divided into the same class, and the periodic data of different classes are stored in different storage spaces.
2. The data acquisition system based on the internet of things equipment according to claim 1, wherein the specific manner of performing data acquisition by the periodic data acquisition terminal is as follows:
Extracting a first group of transmission protocols of the rule according to the determined protocol conversion rule, collecting the data of the internet of things equipment related to the transmission protocol, generating a data packet of the corresponding transmission protocol, and generating the data packet of the collection period according to the set collection period;
according to the protocol conversion rule, sequentially acquiring the data of the Internet of things equipment corresponding to the different subsequent transmission protocols by adopting the different transmission protocols, generating data packets of the different transmission protocols, and transmitting the acquired data packets to the period data merging terminal.
3. The data collection system based on the internet of things device according to claim 1, wherein the specific way for the period data merging end to integrate and merge the plurality of data packets is as follows:
Confirming a data packet corresponding to a transmission protocol, sorting different collected data in the data packet according to the number of times of change of an IP address of the data packet and a sorting mode from small to large according to the number of times of change, extracting a similar protocol sequence corresponding to the transmission protocol based on the transmission protocol, sequentially filling the sorted collected data to the sorting position of the corresponding transmission protocol according to the sorting position of equipment in the similar protocol sequence in a front-to-back mode, and generating a data sequence corresponding to the corresponding transmission protocol;
Processing other data packets in the same way to generate data sequences corresponding to the other data packets;
based on the generated plurality of groups of data sequences, the plurality of groups of data sequences are integrated according to the positions of the data according to a front-to-back mode to generate cycle data acquired by a cycle.
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