CN117075556A - Intelligent instrument assembly method and system based on Internet of things - Google Patents
Intelligent instrument assembly method and system based on Internet of things Download PDFInfo
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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] or computer integrated manufacturing [CIM]
- G05B19/41865—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] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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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
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
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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
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The application provides an intelligent instrument assembly method and system based on the Internet of things, and relates to the technical field of assembly. According to the application, the installation process information of the intelligent instrument is obtained; based on the internet of things technology, performing test on-duty monitoring, and matching procedure staff corresponding to a plurality of instrument assembly procedures; performing identity verification and periodic assembly process monitoring to obtain a plurality of process monitoring data; performing operation point position identification and recording to obtain a plurality of process point position data; and (3) analyzing and judging whether linkage lifting is possible, determining linkage lifting time when the linkage lifting is determined, and carrying out point location equipartition lifting in a plurality of instrument assembly procedures. The method has the advantages that the periodic assembly process monitoring can be carried out on the assembly procedures of a plurality of meters, the operation point positions are identified and recorded, whether linkage lifting is possible or not is analyzed and judged, the linkage lifting time is determined when the linkage lifting is possible, the point position average lifting is carried out, and therefore the periodic adjustment of the assembly time can be carried out according to the assembly proficiency of staff.
Description
Technical Field
The application relates to the technical field of assembly, in particular to an intelligent instrument assembly method and system based on the Internet of things.
Background
The assembly production of intelligent instrument usually needs to go through a plurality of assembly processes, carries out the assembly of different parts, and assembly process needs machine and manual work to cooperate and go on. In the prior art, for different assembly procedures of intelligent instrument assembly production, fixed assembly time is set according to the process flow, and staff can only carry out fixed-rhythm assembly processing operation with a machine in a matching manner based on the fixed assembly time, so that the gradual adjustment of the assembly time cannot be carried out according to the assembly proficiency of the staff.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the application provides an intelligent instrument assembling method and system based on the Internet of things, which solve the problems that in the prior art, for different assembling procedures of intelligent instrument assembling production, fixed assembling time is set according to the technological process, and a worker can only perform fixed-rhythm assembling and processing operation by matching with a machine based on the fixed assembling time, but cannot adjust the assembling time according to the assembling proficiency of the worker.
(II) technical scheme
In order to achieve the above purpose, the application is realized by the following technical scheme:
an intelligent instrument assembly method based on the Internet of things comprises the following steps:
acquiring installation process information of intelligent meters, determining a plurality of meter assembly processes, and dividing corresponding process information;
based on the internet of things technology, performing test on-duty monitoring, acquiring on-duty monitoring data, performing monitoring analysis according to a plurality of process information of the process, and matching process staff corresponding to a plurality of instrument assembly processes;
in the instrument assembly process, identity verification is carried out on workers in the process, and after the identity verification is passed, periodic assembly process monitoring is carried out to obtain a plurality of process monitoring data;
according to the process information of the working procedures, identifying and recording operation point positions of the corresponding process monitoring data to obtain the point position data of the working procedures;
and analyzing and judging whether the process point position data can be lifted in a linkage way, determining the linkage lifting time when judging that the process point position data can be lifted in a linkage way, and carrying out point position equipartition lifting in the instrument assembly process.
As a further limitation of the technical solution of the embodiment of the present application, the obtaining the installation process information of the intelligent instrument, determining a plurality of instrument assembly processes, and dividing the corresponding process information includes:
obtaining the internal model of the intelligent instrument produced by assembly;
matching and acquiring installation process information from a preset information base according to the internal model of the instrument;
performing process analysis on the installation process information to determine a plurality of instrument assembly processes;
and dividing the installation process information according to a plurality of instrument assembly processes to obtain a plurality of process information.
As a further limitation of the technical solution of the embodiment of the present application, the step of performing test on-duty monitoring based on the internet of things technology, obtaining on-duty monitoring data, performing monitoring analysis according to a plurality of process information, and matching process operators corresponding to a plurality of instrument assembly processes includes:
acquiring trial production planning information and determining a plurality of trial production workers;
based on the internet of things technology, performing test on-duty monitoring on a plurality of test workers to acquire on-duty monitoring data;
extracting a plurality of process standard data corresponding to the process information;
and comparing the on-duty monitoring data according to the plurality of process standard data, and matching process staff corresponding to the plurality of instrument assembly processes.
As a further limitation of the technical solution of the embodiment of the present application, comparing the on-duty monitoring data according to the plurality of process standard data, and matching process staff corresponding to the plurality of instrument assembly processes includes:
screening a plurality of standard-reaching train guard data from the train guard monitoring data according to a plurality of process standard data;
classifying the plurality of standard-reaching wheel post data according to the plurality of instrument assembly procedures to obtain a plurality of standard-reaching classification data;
respectively comparing a plurality of standard-reaching classification data to obtain the same comparison result;
and matching a plurality of working procedure staff corresponding to the instrument assembly working procedure from a plurality of trial production staff according to the same comparison result.
As a further limitation of the technical solution of the embodiment of the present application, in the assembling process of the plurality of meters, performing authentication on a plurality of process staff, and after the authentication passes, performing periodic assembling process monitoring, the obtaining a plurality of process monitoring data includes:
generating a procedure verification instruction when the intelligent instrument is assembled and produced;
according to the procedure verification instruction, performing identity verification on a plurality of procedure staff in a plurality of instrument assembly procedures to generate an identity verification result;
generating a period monitoring instruction when the identity verification passes according to the identity verification result;
and according to the periodic monitoring instruction, performing periodic assembly process monitoring in a plurality of instrument assembly procedures to obtain a plurality of process monitoring data.
As a further limitation of the technical solution of the embodiment of the present application, the identifying and recording the operation point location of the plurality of corresponding process monitoring data according to the plurality of process information includes:
determining a plurality of process points corresponding to the instrument assembly processes according to the process information of the processes;
performing point location identification on the corresponding process monitoring data according to the plurality of process point locations to obtain a point location identification result;
recording the point location time corresponding to the point locations of a plurality of working procedures according to the point location identification result;
and recording a plurality of point location time corresponding to the instrument assembly working procedures respectively to obtain a plurality of working procedure point location data.
As a further limitation of the technical solution of the embodiment of the present application, the analyzing and judging whether the process point location data can be lifted in a linkage way, when judging that the process point location data can be lifted in a linkage way, determining the linkage lifting time, and performing point location average lifting in the instrument assembly process includes:
acquiring a plurality of front bit point position data;
calculating process point position duration of a plurality of process point position data, and calculating fore position duration of a plurality of fore position point position data;
comparing the point position duration of the plurality of working procedures with the corresponding front point position duration, and judging whether linkage lifting is possible;
when the instrument assembly process can be lifted in a linkage way, the linkage lifting time is determined, and point location equipartition lifting is performed on a plurality of instrument assembly processes.
As a further limitation of the technical solution of the embodiment of the present application, the comparing the plurality of process point location durations with the corresponding pre-point location durations, and determining whether linkage lifting is possible includes:
when the point position duration of the working procedures is smaller than the corresponding front point position duration, judging that linkage lifting is possible;
and when the time length of at least one process point position is not less than the corresponding time length of the front point position, judging that linkage lifting cannot be carried out.
As a further limitation of the technical solution of the embodiment of the present application, determining the linkage lifting time when the linkage lifting is possible, and performing point location equipartition lifting in the plurality of instrument assembly processes includes:
calculating linkage lifting time when linkage lifting is enabled;
counting the number of the point positions of a plurality of instrument assembly procedures;
according to the point positions, carrying out equipartition treatment on the linkage lifting times to obtain equipartition lifting times;
and carrying out point location equipartition lifting in the instrument assembly working procedures according to the equipartition lifting time.
An intelligent instrument assembly system based on the internet of things, the system comprising:
the process information analysis module is used for acquiring the installation process information of the intelligent instrument, determining a plurality of instrument assembly processes and dividing corresponding process information;
the on-duty monitoring and analyzing module is used for performing test on-duty monitoring based on the internet of things technology, acquiring on-duty monitoring data, performing monitoring and analyzing according to a plurality of process information, and matching a plurality of process workers corresponding to the instrument assembly process;
the assembly process monitoring module is used for carrying out identity verification on a plurality of process workers in a plurality of instrument assembly processes, and carrying out periodic assembly process monitoring after the identity verification is passed to obtain a plurality of process monitoring data;
the point location identification recording module is used for carrying out operation point location identification and recording on a plurality of corresponding process monitoring data according to a plurality of process information to obtain a plurality of process point location data;
and the linkage lifting processing module is used for carrying out analysis and judgment on whether linkage lifting can be carried out on the process point position data, determining linkage lifting time when the linkage lifting can be judged, and carrying out point position equipartition lifting on the instrument assembly process.
(III) beneficial effects
The application provides an intelligent instrument assembly method and system based on the Internet of things. Compared with the prior art, the method has the following beneficial effects:
(1) According to the application, through periodically monitoring the assembly process of a plurality of instrument assembly procedures, identifying and recording operation point positions, analyzing and judging whether linkage lifting is possible, determining linkage lifting time when linkage lifting is possible, and carrying out point position average lifting, so that the periodic adjustment of the assembly time can be carried out according to the assembly proficiency of staff;
(2) According to the application, test on-duty monitoring can be performed, on-duty monitoring data is monitored and analyzed according to the process information of a plurality of processes, process staff corresponding to a plurality of instrument assembly processes are matched, automatic matching of the staff is realized, and the most suitable process staff can be matched for each instrument assembly process, so that the working efficiency of assembly and processing is improved.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of an intelligent instrument assembly method based on the internet of things.
Fig. 2 is a schematic structural diagram of an intelligent instrument assembly system based on the internet of things.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application are clearly and completely described, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The embodiment of the application provides an intelligent instrument assembling method and system based on the Internet of things, which solve the problems that in the prior art, for different assembling procedures of intelligent instrument assembling production, fixed assembling time is set according to technological processes, and a worker can only perform fixed-rhythm assembling processing operation by being matched with a machine based on the fixed assembling time, but cannot gradually adjust the assembling time according to the assembling proficiency of the worker.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
Example 1:
as shown in fig. 1, the application provides an intelligent instrument assembly method based on the internet of things, which comprises the following steps:
s100, acquiring installation process information of intelligent meters, determining a plurality of meter assembly processes, and dividing corresponding process information;
s200, based on the technology of the Internet of things, performing test on-duty monitoring, acquiring on-duty monitoring data, performing monitoring analysis according to a plurality of process information of the process, and matching process staff corresponding to a plurality of instrument assembly processes;
s300, in a plurality of instrument assembly processes, carrying out identity verification on a plurality of process staff, and after the identity verification is passed, carrying out periodic assembly process monitoring to obtain a plurality of process monitoring data;
s400, identifying and recording operation point positions of a plurality of corresponding process monitoring data according to a plurality of process information to obtain a plurality of process point position data;
s500, analyzing and judging whether the process point position data can be lifted in a linkage way, determining linkage lifting time when judging that the process point position data can be lifted in a linkage way, and carrying out point position equipartition lifting in the instrument assembly process.
The beneficial effects of this embodiment are:
(1) According to the embodiment of the application, the periodic assembly process monitoring is carried out on a plurality of instrument assembly procedures, the operation point positions are identified and recorded, whether linkage lifting is possible or not is judged through analysis, and when linkage lifting is possible, the linkage lifting time is determined, point position average lifting is carried out, so that the periodic adjustment of the assembly time can be carried out according to the assembly proficiency of staff;
(2) According to the embodiment of the application, the test on-duty monitoring can be performed, the on-duty monitoring data is monitored and analyzed according to the process information of a plurality of processes, the process staff corresponding to the assembly processes of a plurality of meters are matched, the automatic matching of the staff is realized, and the most suitable process staff can be matched for each assembly process of the meters, so that the working efficiency of the assembly and the processing is improved.
The implementation process of the embodiment of the present application is described in detail below:
in S100, the enterprise sets a corresponding internal model of the intelligent instrument at the beginning of development design of the intelligent instrument, and after finishing development design and process planning of the intelligent instrument, stores design data and process data of the intelligent instrument in an information base according to the internal model of the instrument, performs information retrieval in the information base according to the internal model of the instrument by acquiring the internal model of the instrument of the intelligent instrument to be assembled and produced, can match and acquire installation process information of the intelligent instrument, determines a plurality of instrument assembly processes required to be undergone for assembly processing of the intelligent instrument by performing process analysis on the installation process information, and then performs division processing on the installation process information according to the plurality of instrument assembly processes to obtain a plurality of process information respectively corresponding to different instrument assembly processes.
It will be appreciated that the assembly process for intelligent meters requires multiple meter assembly procedures, different assembly instruments, and different workers to perform the process operations, such as: PCB board assembly, display screen assembly, shell assembly, bracket assembly and the like.
In S200, when the intelligent instrument is required to be manufactured, obtaining test planning information of the intelligent instrument, performing personnel arrangement analysis on the test planning information, determining a plurality of test workers participating in test assembly of the intelligent instrument, performing test post on a plurality of instrument assembly procedures during the test processing, performing test post monitoring on a plurality of instrument assembly procedures based on the internet of things technology, obtaining post monitoring data, extracting procedure standard data corresponding to the plurality of instrument assembly procedures from the plurality of procedure process information, performing standard detection on the post monitoring data according to the procedure standard data, screening a plurality of standard post data meeting the corresponding procedure standard data from the post monitoring data, classifying the plurality of standard post data according to the plurality of instrument assembly procedures, obtaining a plurality of standard classification data respectively corresponding to the plurality of instrument assembly procedures, performing arrangement comparison in each standard classification data, generating the same comparison result, and further automatically matching the standard post monitoring data with the plurality of standard post monitoring data of the first standard test workers in the screening procedure, and determining that the standard post monitoring data is the standard data of the first standard test post is the corresponding to the plurality of the instrument assembly procedures.
It can be understood that the test production on-duty monitoring comprises video monitoring shooting of an operation process, operation monitoring of an assembly instrument and recording monitoring of an assembly result under the condition of the Internet of things technology; the process standard data comprises a standard sequence, a standard duration and a standard result; the standard detection is carried out on the monitoring data of the train guard, and the detection process is used for detecting whether the assembly sequence, the assembly time length and the assembly result of the monitoring data of the train guard meet the standard sequence, the standard time length and the standard result.
In S300, after the trial production of the intelligent instrument is completed, the intelligent instrument is required to be assembled and produced, when the intelligent instrument is assembled and produced, a procedure verification instruction is generated, according to the procedure verification instruction, verification shooting is performed in a plurality of instrument assembling procedures, a plurality of verification shooting images are obtained, then, according to the pre-stored backup identity images of a plurality of procedure staff, identity verification is performed on the plurality of verification shooting images, whether the identity verification passes or not is judged, under the condition that the identity verification passes, a period monitoring instruction is generated, and further, according to the period monitoring instruction, the assembly operation of the procedure staff and the assembly operation of the assembly instrument are monitored periodically in a plurality of instrument assembling procedures, and a plurality of process monitoring data are obtained.
It will be appreciated that one cycle may be the longest time it takes to complete the assembly process in a plurality of meter assembly processes.
In S400, the process steps of each instrument assembly process are segmented according to the process information of the plurality of processes to obtain a plurality of process points, the corresponding process monitoring data are subjected to point location identification according to the plurality of process points to obtain a point location identification result, the time of each process point location in the process monitoring data is recorded according to the point location identification result to obtain a plurality of point location time, and the corresponding classification record is performed on the plurality of point location time in the plurality of instrument assembly processes to obtain a plurality of process point location data corresponding to the plurality of instrument assembly processes.
It can be understood that the instrument assembling process consists of a plurality of process points, and each process point corresponds to one process step, and the process point can be an automatic assembling step (such as component clamping, screw sucking and screwing) of an assembling instrument or an assembling operation step (such as component placing and component removing) of a process staff.
In S500, in the previous cycle, acquiring a plurality of front position point locations corresponding to a plurality of instrument assembly processes, counting a plurality of process point locations corresponding to the plurality of process point locations, counting a plurality of front position point locations corresponding to the plurality of front position point locations, determining a corresponding relation between the plurality of process point locations and the plurality of front position point locations according to the plurality of instrument assembly processes, comparing the plurality of process point locations with the corresponding front position point locations according to the corresponding relation, judging whether the plurality of process point locations are smaller than the corresponding front position point locations, and judging that linkage lifting cannot be performed when at least one process point location is not smaller than the corresponding front position point location; and when the time length of the plurality of process point positions is smaller than the time length of the corresponding front position, the linkage lifting is determined, at the moment, the difference value between the time length of the plurality of process point positions and the time length of the plurality of corresponding front position is calculated, the time length difference value can be obtained, the smallest time length difference value is marked as the linkage lifting time, the number of process point positions of each instrument assembly process is counted, the number of the plurality of point positions is obtained, the linkage lifting time is equally calculated for the corresponding instrument assembly process according to the number of the plurality of point positions, the equal lifting time is obtained, the point position time of each process point position is shortened for the corresponding instrument assembly process according to the equal lifting time, so that the operation of each instrument assembly process is synchronously accelerated, the periodic adjustment of the assembly time according to the assembly proficiency of process staff is realized, and the assembly efficiency of the intelligent instrument is improved.
Example 2:
as shown in fig. 2, the present application provides an intelligent instrument assembly system based on the internet of things, which comprises:
the process information analysis module 100 is used for acquiring installation process information of the intelligent instrument, determining a plurality of instrument assembly processes, and dividing corresponding process information;
the on-duty monitoring and analyzing module 200 is used for performing test on-duty monitoring based on the internet of things technology, acquiring on-duty monitoring data, performing monitoring and analyzing according to a plurality of process information, and matching a plurality of process staff corresponding to the instrument assembly process;
the assembly process monitoring module 300 is configured to perform identity verification on a plurality of process staff in a plurality of instrument assembly processes, and perform periodic assembly process monitoring after the identity verification is passed, so as to obtain a plurality of process monitoring data;
the point location identification recording module 400 is configured to identify and record operation point locations of a plurality of corresponding process monitoring data according to a plurality of process information, and obtain a plurality of process point location data;
the linkage lifting processing module 500 is configured to perform analysis and judgment on whether linkage lifting can be performed on the plurality of process point location data, determine linkage lifting time when it is determined that linkage lifting can be performed, and perform point location average lifting on the plurality of instrument assembly processes.
It may be appreciated that, the intelligent instrument assembly system based on the internet of things provided by the embodiment of the application corresponds to the intelligent instrument assembly method based on the internet of things, and the explanation, the examples, the beneficial effects and the like of the related content can refer to the corresponding content in the intelligent instrument assembly method based on the internet of things, which is not repeated herein.
In summary, compared with the prior art, the application has the following beneficial effects:
(1) According to the application, through periodically monitoring the assembly process of a plurality of instrument assembly procedures, identifying and recording operation point positions, analyzing and judging whether linkage lifting is possible, determining linkage lifting time when linkage lifting is possible, and carrying out point position average lifting, so that the periodic adjustment of the assembly time can be carried out according to the assembly proficiency of staff;
(2) According to the application, test on-duty monitoring can be performed, on-duty monitoring data is monitored and analyzed according to the process information of a plurality of processes, process staff corresponding to a plurality of instrument assembly processes are matched, automatic matching of the staff is realized, and the most suitable process staff can be matched for each instrument assembly process, so that the working efficiency of assembly and processing is improved.
It should be noted that, from the above description of the embodiments, those skilled in the art will clearly understand that each embodiment may be implemented by means of software plus necessary general hardware platform. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments. In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, 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 one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. An intelligent instrument assembly method based on the Internet of things is characterized by comprising the following steps:
acquiring installation process information of intelligent meters, determining a plurality of meter assembly processes, and dividing corresponding process information;
based on the internet of things technology, performing test on-duty monitoring, acquiring on-duty monitoring data, performing monitoring analysis according to a plurality of process information of the process, and matching process staff corresponding to a plurality of instrument assembly processes;
in the instrument assembly process, identity verification is carried out on workers in the process, and after the identity verification is passed, periodic assembly process monitoring is carried out to obtain a plurality of process monitoring data;
according to the process information of the working procedures, identifying and recording operation point positions of the corresponding process monitoring data to obtain the point position data of the working procedures;
and analyzing and judging whether the process point position data can be lifted in a linkage way, determining the linkage lifting time when judging that the process point position data can be lifted in a linkage way, and carrying out point position equipartition lifting in the instrument assembly process.
2. The method for assembling intelligent meters based on the internet of things according to claim 1, wherein the steps of obtaining the installation process information of the intelligent meters, determining a plurality of meter assembling processes, and dividing the corresponding process information comprise:
obtaining the internal model of the intelligent instrument produced by assembly;
matching and acquiring installation process information from a preset information base according to the internal model of the instrument;
performing process analysis on the installation process information to determine a plurality of instrument assembly processes;
and dividing the installation process information according to a plurality of instrument assembly processes to obtain a plurality of process information.
3. The method for assembling intelligent meters based on the internet of things according to claim 1, wherein the step of monitoring the test train on the basis of the internet of things technology, obtaining train on the test train monitoring data, performing monitoring analysis according to a plurality of process information, and matching process staff corresponding to a plurality of meter assembling processes comprises:
acquiring trial production planning information and determining a plurality of trial production workers;
based on the internet of things technology, performing test on-duty monitoring on a plurality of test workers to acquire on-duty monitoring data;
extracting a plurality of process standard data corresponding to the process information;
and comparing the on-duty monitoring data according to the plurality of process standard data, and matching process staff corresponding to the plurality of instrument assembly processes.
4. The intelligent instrument assembly method based on the internet of things according to claim 3, wherein comparing the on-duty monitoring data according to a plurality of process standard data, and matching process staff corresponding to a plurality of instrument assembly processes comprises:
screening a plurality of standard-reaching train guard data from the train guard monitoring data according to a plurality of process standard data;
classifying the plurality of standard-reaching wheel post data according to the plurality of instrument assembly procedures to obtain a plurality of standard-reaching classification data;
respectively comparing a plurality of standard-reaching classification data to obtain the same comparison result;
and matching a plurality of working procedure staff corresponding to the instrument assembly working procedure from a plurality of trial production staff according to the same comparison result.
5. The method for assembling intelligent meters based on the internet of things according to claim 1, wherein in the plurality of meter assembling processes, identity verification is performed on a plurality of process staff, and after the identity verification is passed, periodic assembly process monitoring is performed, and obtaining a plurality of process monitoring data includes:
generating a procedure verification instruction when the intelligent instrument is assembled and produced;
according to the procedure verification instruction, performing identity verification on a plurality of procedure staff in a plurality of instrument assembly procedures to generate an identity verification result;
generating a period monitoring instruction when the identity verification passes according to the identity verification result;
and according to the periodic monitoring instruction, performing periodic assembly process monitoring in a plurality of instrument assembly procedures to obtain a plurality of process monitoring data.
6. The method for assembling an intelligent instrument based on the internet of things according to claim 1, wherein the step of performing operation point location identification and recording on a plurality of corresponding process monitoring data according to a plurality of process information comprises the steps of:
determining a plurality of process points corresponding to the instrument assembly processes according to the process information of the processes;
performing point location identification on the corresponding process monitoring data according to the plurality of process point locations to obtain a point location identification result;
recording the point location time corresponding to the point locations of a plurality of working procedures according to the point location identification result;
and recording a plurality of point location time corresponding to the instrument assembly working procedures respectively to obtain a plurality of working procedure point location data.
7. The method for assembling intelligent meters based on the internet of things according to claim 1, wherein the analyzing and judging whether the process point location data can be lifted in a linkage way, when the process point location data can be lifted in a linkage way, determining the linkage lifting time, and carrying out point location equipartition lifting in the process of assembling the meters comprises:
acquiring a plurality of front bit point position data;
calculating process point position duration of a plurality of process point position data, and calculating fore position duration of a plurality of fore position point position data;
comparing the point position duration of the plurality of working procedures with the corresponding front point position duration, and judging whether linkage lifting is possible;
when the instrument assembly process can be lifted in a linkage way, the linkage lifting time is determined, and point location equipartition lifting is performed on a plurality of instrument assembly processes.
8. The method for assembling an intelligent instrument based on the internet of things according to claim 7, wherein comparing the plurality of process point location durations with corresponding front point location durations, determining whether linkage lifting is possible comprises:
when the point position duration of the working procedures is smaller than the corresponding front point position duration, judging that linkage lifting is possible;
and when the time length of at least one process point position is not less than the corresponding time length of the front point position, judging that linkage lifting cannot be carried out.
9. The method for assembling intelligent meters based on the internet of things according to claim 7, wherein determining the linkage lifting time when the intelligent meters can be lifted in a linkage manner, and performing point location average lifting in a plurality of meter assembling procedures comprises:
calculating linkage lifting time when linkage lifting is enabled;
counting the number of the point positions of a plurality of instrument assembly procedures;
according to the point positions, carrying out equipartition treatment on the linkage lifting times to obtain equipartition lifting times;
and carrying out point location equipartition lifting in the instrument assembly working procedures according to the equipartition lifting time.
10. Intelligent instrument assembly system based on thing networking, this system includes:
the process information analysis module is used for acquiring the installation process information of the intelligent instrument, determining a plurality of instrument assembly processes and dividing corresponding process information;
the on-duty monitoring and analyzing module is used for performing test on-duty monitoring based on the internet of things technology, acquiring on-duty monitoring data, performing monitoring and analyzing according to a plurality of process information, and matching a plurality of process workers corresponding to the instrument assembly process;
the assembly process monitoring module is used for carrying out identity verification on a plurality of process workers in a plurality of instrument assembly processes, and carrying out periodic assembly process monitoring after the identity verification is passed to obtain a plurality of process monitoring data;
the point location identification recording module is used for carrying out operation point location identification and recording on a plurality of corresponding process monitoring data according to a plurality of process information to obtain a plurality of process point location data;
and the linkage lifting processing module is used for carrying out analysis and judgment on whether linkage lifting can be carried out on the process point position data, determining linkage lifting time when the linkage lifting can be judged, and carrying out point position equipartition lifting on the instrument assembly process.
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