CN114928012B - Method and system for monitoring whole period of intensive bus duct - Google Patents

Method and system for monitoring whole period of intensive bus duct Download PDF

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Publication number
CN114928012B
CN114928012B CN202210507308.XA CN202210507308A CN114928012B CN 114928012 B CN114928012 B CN 114928012B CN 202210507308 A CN202210507308 A CN 202210507308A CN 114928012 B CN114928012 B CN 114928012B
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installation
information
bus
intensive
scheme
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CN114928012A (en
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张强
王宁
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Zhenjiang Siemens Bus Co Ltd
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Zhenjiang Siemens Bus Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02GINSTALLATION OF ELECTRIC CABLES OR LINES, OR OF COMBINED OPTICAL AND ELECTRIC CABLES OR LINES
    • H02G5/00Installations of bus-bars
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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  • General Physics & Mathematics (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

The invention provides a method and a system for monitoring the whole period of an intensive bus duct, and relates to the field of artificial intelligence, wherein the method comprises the following steps: detecting the first intensive bus unit before installation through a first quality detection index set to obtain a first detection result; building an intelligent bus installation model; based on the intelligent bus installation model, a first assembly scheme and a first installation scheme are obtained; installing and detecting the first intensive busbar unit in real time based on a first assembly scheme and a first installation scheme to obtain a second detection result; after the installation is completed, power transmission detection is carried out, and a third detection result is obtained; and acquiring first early warning information based on the first detection result, the second detection result and the third detection result, and carrying out real-time early warning on the first intensive bus unit. The intelligent monitoring level is improved, the early warning timeliness is enhanced, and the mounting effect and the mounting quality of the intensive bus duct are improved.

Description

Method and system for monitoring whole period of intensive bus duct
Technical Field
The invention relates to the field of artificial intelligence, in particular to a method and a system for monitoring the whole period of an intensive bus duct.
Background
The compact bus has the advantages of small volume, compact structure, large transmission current, safety, convenient maintenance and the like, and is widely applied to vast enterprises in China. However, in the actual construction process, the current levels are various in the field conditions, so that the problems of various elbows, varistors, tee joints and bus phase sequences are relatively complicated, the use description is unclear, the design consideration is not round, and the like, so that the installation difficulty of the intensive bus duct is greatly improved. If the bus duct is filled with water, insulation is reduced, and the bus is short-circuited and burns out the bus duct. Therefore, necessary waterproof measures are required when the bus duct is installed. In order to prevent the insulating sleeve on the bolt from being damaged due to the shearing force in the installation process, the bus duct needs the connection of the bus bar in the connection process, the high-strength insulating plate with high insulation, arc resistance and flame retardance is used as a connection accessory, and the bolt with the insulating sleeve is used for fastening.
The prior art has the technical problems that the installation effect of the compact bus duct is not ideal and the installation quality is not guaranteed due to different conditions of construction sites, incontinuous design consideration and high installation difficulty of the compact bus duct.
Disclosure of Invention
The application provides a method and a system for monitoring the whole period of an intensive bus duct, which solve the technical problems of unsatisfactory installation effect and insusceptible installation quality of the intensive bus duct caused by different conditions of construction sites, inconveniently design considerations and high installation difficulty of the intensive bus duct in the prior art. The intelligent monitoring device achieves real-time intelligent monitoring before, during and after installation of the intensive bus duct, and real-time early warning is carried out according to monitoring results, so that the intelligent level of monitoring is improved, the early warning timeliness is enhanced, and the technical effects of the installation effect and the installation quality of the intensive bus duct are improved.
In view of the above problems, the present application provides a method and a system for full cycle monitoring of an intensive bus duct.
In a first aspect, the present application provides a method for full cycle monitoring of an intensive bus duct, wherein the method comprises: obtaining a first quality detection index set based on the first intensive busbar unit; detecting the first intensive busbar unit before installation through the first quality detection index set to obtain a first detection result; building an intelligent bus installation model; generating an installation scheme of the first intensive busbar unit based on the busbar intelligent installation model, and obtaining a first assembly scheme and a first installation scheme; installing the first intensive bus unit based on the first assembly scheme and the first installation scheme, and detecting the first intensive bus unit in real time through the plurality of image acquisition devices to obtain a second detection result; carrying out power transmission detection on the first intensive busbar unit after the installation is completed, and obtaining a third detection result; and acquiring first early warning information based on the first detection result, the second detection result and the third detection result, and carrying out real-time early warning on the first intensive bus unit.
In another aspect, the present application provides a system for full cycle monitoring of an intensive bus duct, wherein the system comprises: the first obtaining unit is used for obtaining a first quality detection index set based on the first intensive bus unit; the second obtaining unit is used for detecting the first intensive bus unit before installation through the first quality detection index set to obtain a first detection result; the first building unit is used for building a bus intelligent installation model; the third obtaining unit is used for carrying out installation scheme generation on the first intensive bus unit based on the bus intelligent installation model to obtain a first assembly scheme and a first installation scheme; the fourth obtaining unit is used for installing the first intensive bus unit based on the first assembly scheme and the first installation scheme and detecting the first intensive bus unit in real time through a plurality of image acquisition devices to obtain a second detection result; a fifth obtaining unit, configured to perform power transmission detection on the installed first intensive busbar unit, to obtain a third detection result; the first execution unit is used for obtaining first early warning information based on the first detection result, the second detection result and the third detection result and carrying out real-time early warning on the first intensive bus unit.
In a third aspect, the present application provides a system for full cycle monitoring of an intensive bus duct, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any one of the first aspects when the program is executed by the processor.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
the first quality detection index set is adopted to detect the first intensive busbar unit before installation, so that a first detection result is obtained; building an intelligent bus installation model; based on the intelligent bus installation model, a first assembly scheme and a first installation scheme are obtained; installing and detecting the first intensive busbar unit in real time based on a first assembly scheme and a first installation scheme to obtain a second detection result; carrying out power transmission detection on the installed first intensive busbar unit to obtain a third detection result; the application provides a method and a system for monitoring the whole period of an intensive bus duct, which achieve the technical effects of carrying out real-time intelligent monitoring before, during and after installation of the intensive bus duct, carrying out real-time early warning according to the monitoring results, improving the monitoring intelligent level, enhancing the early warning timeliness and improving the installation effect and the installation quality of the intensive bus duct.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
FIG. 1 is a schematic flow chart of a method for full cycle monitoring of an intensive bus duct according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a method for generating a first assembly scheme and a first installation scheme for full cycle monitoring of an intensive bus duct according to an embodiment of the present application;
fig. 3 is a schematic flow chart of second early warning information of a method for full-period monitoring of an intensive bus duct according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a system for full cycle monitoring of an intensive bus duct according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Reference numerals illustrate: the device comprises a first obtaining unit 11, a second obtaining unit 12, a first building unit 13, a third obtaining unit 14, a fourth obtaining unit 15, a fifth obtaining unit 16, a first executing unit 17, an electronic device 300, a memory 301, a processor 302, a communication interface 303, and a bus architecture 304.
Detailed Description
The application provides a method and a system for monitoring the whole period of an intensive bus duct, which solve the technical problems of unsatisfactory installation effect and insusceptible installation quality of the intensive bus duct caused by different conditions of construction sites, inconveniently design considerations and high installation difficulty of the intensive bus duct in the prior art. The intelligent monitoring device achieves real-time intelligent monitoring before, during and after installation of the intensive bus duct, and real-time early warning is carried out according to monitoring results, so that the intelligent level of monitoring is improved, the early warning timeliness is enhanced, and the technical effects of the installation effect and the installation quality of the intensive bus duct are improved.
The technical scheme of the application obtains, stores, uses, processes and the like the data, which all meet the relevant regulations of national laws and regulations.
The application provides a method for monitoring the whole period of an intensive bus duct, which comprises the following steps: detecting the first intensive busbar unit before installation through a first quality detection index set to obtain a first detection result; building an intelligent bus installation model; based on the intelligent bus installation model, a first assembly scheme and a first installation scheme are obtained; installing and detecting the first intensive busbar unit in real time based on a first assembly scheme and a first installation scheme to obtain a second detection result; carrying out power transmission detection on the installed first intensive busbar unit to obtain a third detection result; and acquiring first early warning information based on the first detection result, the second detection result and the third detection result, and carrying out real-time early warning on the first intensive bus unit. The intelligent monitoring device achieves real-time intelligent monitoring before, during and after installation of the intensive bus duct, and real-time early warning is carried out according to monitoring results, so that the intelligent level of monitoring is improved, the early warning timeliness is enhanced, and the technical effects of the installation effect and the installation quality of the intensive bus duct are improved.
Having described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Example 1
As shown in fig. 1, an embodiment of the present application provides a method for full-cycle monitoring of an intensive bus duct, where the method is applied to a full-cycle monitoring system, and the system is communicatively connected to a plurality of image capturing devices, and the method includes:
step S100: obtaining a first quality detection index set based on the first intensive busbar unit;
step S200: detecting the first intensive busbar unit before installation through the first quality detection index set to obtain a first detection result;
in particular, the compact bus duct has the advantages of compact structure, small volume, high safety of large transmission current, convenient maintenance and the like, and is widely applied to vast enterprises in China. However, in the actual construction process, because the current levels are various in the field conditions, the problems of various elbows, varistors, tee joints and bus phase sequences are relatively complicated, the installation difficulty of the intensive bus duct is greatly improved due to various reasons such as unclear use description and inconveniently designed consideration, and therefore, the application provides a method for monitoring the full cycle of the intensive bus duct, which is used for monitoring the installation process of the intensive bus duct of a system, so that the installation quality of the intensive bus duct is improved.
The first intensive bus unit is any intensive bus unit to be assembled and installed, and according to the model and the part attribute of the first intensive bus unit, quality monitoring standard files are matched to obtain a first quality detection index set, and the first quality detection index set is exemplified: the first quality detection index set includes appearance detection aspect indexes such as: whether the surface has the flatness indexes such as concave, scratch, protrusion and the like. The detection method comprises the steps of carrying out detection before assembly on a first intensive bus unit through a first quality detection index set, carrying out image acquisition on the appearance of the first intensive bus unit through a full period monitoring system by carrying out image acquisition on a technician in a detection process, carrying out image recognition on the appearance of the first intensive bus unit, replacing raw materials with quality which does not meet an installation standard, carrying out early warning on imperfect operation, and controlling the quality before assembly, so that a first detection result is obtained, and carrying out detection before installation on the first intensive bus unit.
Step S300: building an intelligent bus installation model;
specifically, in order to perform intelligent scheme generation on the assembly scheme and the installation scheme of the first intensive bus unit, a bus intelligent installation model is built, and the bus intelligent installation model is a model which is built based on the neural network model and is used for generating the bus installation scheme.
Bus installation includes equipment and installation, and intensive bus is after the equipment in the workshop, and the packing transportation is to the installation building site, installs at the building site, consequently bus intelligent installation model includes a plurality of submodels for the scheme of bus installation process generates, and the exemplary: the bus intelligent installation model comprises a bus assembly model and a bus installation model.
The method comprises the steps of acquiring bus type, model, part information to be assembled and installed, historical installation scheme information corresponding to the bus type and model, and installation effect information, training a neural network model through the information, wherein assembled part data are used for training a bus assembly model, and installing part data are used for training the bus installation model, training the bus intelligent installation model after model convergence, and training the sub model to form the bus intelligent installation model for generating an installation scheme, so that a foundation is laid for installation process monitoring.
Step S400: generating an installation scheme of the first intensive busbar unit based on the busbar intelligent installation model, and obtaining a first assembly scheme and a first installation scheme;
further, as shown in fig. 2, the generating of the installation scheme for the first intensive bus unit based on the bus intelligent installation model, to obtain a first assembly scheme and a first installation scheme, and step S400 of the embodiment of the present application further includes:
Step S410: building a bus intelligent installation model, wherein the bus intelligent installation model comprises a bus assembly model and a bus installation model, and input information of the bus installation model comprises output information of the bus assembly model;
step S420: inputting the model and part information of the first intensive bus unit into the bus assembly model, and outputting the first assembly scheme;
step S430: acquiring first installation trend information based on first environment information of the first intensive bus unit;
step S440: and inputting the first environment information, the first installation trend information and the first assembly scheme information into the bus installation model to obtain the first installation scheme.
Specifically, the first intensive busbar unit is generated through the built busbar intelligent installation model, the first assembly scheme and the first installation scheme are obtained, the first installation scheme and the first assembly scheme have a certain relation, and the preferred scheme generation process is as follows.
The intelligent bus installation model comprises the bus assembly model and the bus installation model, and one of the input information of the bus installation model is the output information of the bus assembly model.
Specifically, the model and the part information of the first intensive bus unit are input into the bus assembly model, and the first assembly scheme is output through the operation processing of the bus assembly model, wherein the first assembly scheme is a suggested assembly scheme obtained according to the specific condition of the first intensive bus unit.
Further, the determination of the installation environment is performed according to the first intensive busbar unit. When a specific installation site is determined, that is, the first environmental information is determined, the first environmental information includes layout information, temperature and humidity, water pipe layout information and the like of the installation site. And obtaining the first installation trend information according to the first environment information and a pre-designed installation design drawing. The first installation trend information includes, but is not limited to, information of an installation order, an installation position, and the like.
The first environment information, the first installation trend information and the first assembly scheme are input into the bus installation model, and the bus installation model performs feature extraction on the input information and then performs data processing to obtain the first installation scheme. After the first assembly scheme and the first installation scheme are obtained, a monitoring method and a technical effect of basis are provided for a user to monitor the assembly and installation of the first intensive bus.
Step S500: installing the first intensive bus unit based on the first assembly scheme and the first installation scheme, and detecting the first intensive bus unit in real time through the plurality of image acquisition devices to obtain a second detection result;
step S600: carrying out power transmission detection on the first intensive busbar unit after the installation is completed, and obtaining a third detection result;
step S700: and acquiring first early warning information based on the first detection result, the second detection result and the third detection result, and carrying out real-time early warning on the first intensive bus unit.
Specifically, in the process of installing the first compact busbar unit, the installation is performed based on the first assembly scheme and the first installation scheme, and the plurality of image capturing devices, such as cameras, perform real-time image capturing on the installation process, for detecting the quality of the installation process, and the detection result is the second detection result, which is exemplary: the second detection result comprises a rationality detection result of operation in the installation process of the first intensive bus unit, an operation integrity detection result and the like.
After the installation is completed, the first compact busbar unit needs to be subjected to power transmission detection, the power transmission detection comprises detection before power transmission, detection after power transmission, and in the power transmission detection process of an electric technician, the detection process of the electric technician is subjected to image acquisition through an image acquisition device, and whether operation standards in the power transmission detection process, detection data and the like are analyzed based on an image acquisition result and an image processing technology, so that a third detection result is obtained.
When the first detection result, the second detection result and the third detection result are abnormal, the installation personnel need to be early warned in time, so that the three detection results can be early warned in real time only by one detection result. The full-period monitoring system sends an abnormal detection result to a user, achieves the effect of completing installation through generation of an intelligent scheme, improves installation quality through detection before and after installation, improves timeliness of processing of abnormal problems through real-time early warning, and accordingly achieves the effect of full-period installation quality detection of the first intensive busbar unit.
Further, the step 430 of obtaining the first installation trend information further includes:
step S431: performing installation position feature analysis on the first environmental information to obtain a first horizontal installation distance and a first vertical installation distance;
step S432: acquiring a first embedded part position based on the first environmental information;
step S433: and obtaining the first installation trend information by using the first horizontal safety distance, the first vertical installation distance and the first embedded part position.
Specifically, the installation trend is an installation order in which the first compact busbar unit is installed. And determining according to the first environment information. The first environmental information is a specific installation site of the first compact busbar unit. And firstly, carrying out installation position feature analysis on the first environmental information, and analyzing the vertical installation distance and the horizontal installation distance of the first intensive bus unit by combining with a design drawing. The first horizontal mounting distance and the first vertical mounting distance are obtained. Illustratively, the first horizontal mounting distance and the first vertical mounting distance include a horizontal distance and a vertical distance between each section of bus bars, and a horizontal distance and a vertical distance between all bus bars and a wall.
And analyzing elements connected with the first intensive bus unit based on the first environmental information, and determining the position of the embedded part through the position of the preformed hole in an exemplary manner, so that the position of the first embedded part is obtained. Based on the obtained first horizontal safety distance, the first vertical installation distance and the first embedded part position, the first installation trend information is obtained, and, for example, after the space pre-installation area, the connection positions and the connection relation of each bus unit are known (the connection relation is connected according to the serial number of the bus unit and is known information), the installation sequence can be determined, so that the first installation trend information is obtained. The installation trend is determined by being tightly combined with the installation environment, so that a foundation can be laid for the improvement of the installation effect and the establishment of an installation scheme.
Further, step S500 of the embodiment of the present application further includes:
step S510: acquiring a first stacking position based on the first environmental information;
step S520: acquiring temperature and humidity of the first stacking position to obtain first temperature information and first humidity information;
step S530: performing air quality detection on the first stacking position to obtain a first air quality detection result;
Step S540: inputting the first temperature information, the first humidity information and the first air quality detection result into an intelligent storage scheme model to obtain a first storage scheme;
step S550: and carrying out storage detection on the first intensive bus unit based on the first storage scheme to obtain the second detection result.
Specifically, after the first compact busbar unit is assembled and then transported to the first environmental information, a suitable place is selected from the first environmental information exclusively for temporary storage. The first dense busbar unit may be damaged by environmental factors and human factors during the storage process, and thus the storage process needs to be safely detected.
And identifying the stacking position of the first intensive busbar unit according to the first environmental information, and setting an image acquisition device at the opposite side position to acquire stacking safety image data. Further, the temperature and humidity and the air quality of the first stacking position are detected in real time through a hygrothermograph and an air quality detection device, and the first temperature information, the first humidity information and the first air quality detection result are obtained.
Historical data information of the stacking process of the first intensive busbar units is extracted through big data acquisition, the historical data information comprises temperature and humidity, air quality data and corresponding stacking scheme data, and the neural network model is trained through the historical data to obtain the intelligent storage scheme model. And inputting the first temperature information, the first humidity information and the first air quality detection result into the intelligent storage scheme model to obtain the first storage scheme. And detecting the storage process of the first intensive bus unit based on the first storage scheme, and taking a detection result as the second detection result. The storage process belongs to a one-step process from assembly to installation, so that a quality detection result is obtained through quality detection of the storage process, the detection result of the installation process is supplemented, and the technical effect of improving an early warning mechanism of the installation process is achieved.
Further, step S500 of the embodiment of the present application includes:
step S560: after the first intensive bus unit is assembled based on the first assembly scheme, first transportation vehicle information is obtained;
step S570: acquiring preset stacking partition information and a transport carriage image acquisition result based on the plurality of image acquisition devices and the first transport vehicle information;
Step S580: performing collision analysis based on the transport vehicle image acquisition result to obtain a first analysis result;
step S590: and detecting the first intensive bus unit based on the preset stacking partition information and the first analysis result to obtain the second detection result.
Specifically, after the assembly is completed, the first transportation vehicle information is obtained from the transportation information because the first transportation vehicle information needs to be transported to a construction site for installation. An image acquisition device is arranged in the first transport vehicle carriage and used for capturing and analyzing collision events in the transport process, the loading and unloading processes. The method comprises the steps of connecting the plurality of image acquisition devices to the image acquisition devices in the first transport vehicle compartment, and obtaining an image acquisition result in the transport vehicle compartment and the preset stacking partition information for carrying out region division according to the internal condition of the vehicle and the number type of the transport bus duct units according to the first transport vehicle information and the image acquisition devices. The transportation bus duct unit comprises, but is not limited to, a bus duct initial end box, a Z-shaped horizontal elbow, an L-shaped horizontal elbow, a special-shaped elbow, an initial end flange head, a bus straight line section, a bus plug box and the like.
The image acquisition result is also used for performing collision analysis, judging whether a first intensive bus unit in the carriage collides with the carriage or not, judging whether collision occurs when the carriage gets on or off, obtaining the first analysis result, and if collision occurs, further checking is needed, and judging whether a problem occurs or not. And detecting the actual stacking partition of the first intensive bus unit according to the preset stacking partition information, and detecting the collision of the first intensive bus unit according to the first analysis result, wherein the partition detection result and the collision detection result are used as the second detection result. The quality detection of the transportation process is achieved, and the service life of the first intensive bus unit is prolonged for quality control before installation.
Further, as shown in fig. 3, the step S700 of the embodiment of the present application further includes:
step S710: obtaining a mounting technology record and an electrical test record;
step S720: obtaining an installation technology recording standard and an electrical test recording standard;
Step S730: based on the installation technology record standard and the electrical test record standard, carrying out integrity test on the installation technology record and the electrical test record to obtain a first test result;
step S740: presetting integrity threshold information, and if the first inspection result does not meet the integrity threshold information, obtaining second early warning information.
Further, the step S730 of the embodiment of the present application further includes:
step S731: based on the installation technical record and the electrical test record, obtaining first technical index information and second technical index information;
step S732: acquiring data quantity information and data acquisition time information based on the first technical index information and the second technical index information;
step S733: and taking the first technical index information, the second technical index information, the data quantity information and the data acquisition time information as integrity check indexes, and performing integrity check on the installation technical record and the electrical test record to obtain the first check result.
Specifically, the installation technology record and the electrical test record are obtained through the input of installation personnel and electrical detection personnel, and the installation technology record standard and the electrical test record standard are obtained according to the installation standard corresponding to the first intensive bus unit in the enterprise standard of an installation company. And comparing the installation technical record with the installation technical record standard, and comparing the electrical test record with the electrical test record standard to perform integrity check, namely checking the integrity of the record in the installation process to obtain the first check result, wherein the integrity check process preferably comprises the steps of firstly checking the integrity of the record index, and respectively obtaining recorded index information according to the installation technical record and the electrical test record to obtain the first technical index information and the second technical index information. Furthermore, the data volume checked and recorded under each index is determined according to the obtained index information, the data volume collected by different indexes can reflect the reliability of the index detection result, and the data volume collected by different indexes is generally a fixed value. The data acquisition time can reflect the authenticity of data and the timeliness of data acquisition, the data volume information and the data recording time (recorded by technicians and the integrity is affected if the records are not available) can be obtained according to the records of the installation process and the electrical test, and the first technical index information, the second technical index information, the data volume information and the acquisition time information are used as integrity check indexes for integrity check, and the check can be completed through an image recognition technology, so that the first check result is obtained.
And obtaining the preset integrity threshold information according to the requirement standard of the enterprise on record integrity, and judging the first inspection result and the preset integrity threshold information. And if the first inspection result does not meet the integrity threshold information, generating second early warning information to remind relevant staff to perform recorded inspection and perfection. The technical effects that the possibly missed inspection items, contents and the like are found through analysis of the recorded information, and timely reminding is carried out through sending the early warning information are achieved, so that the full-period monitoring method is more perfect.
In summary, the method and system for monitoring the whole period of the compact bus duct provided by the embodiment of the application have the following technical effects:
1. the first quality detection index set is adopted to detect the first intensive busbar unit before installation, so that a first detection result is obtained; building an intelligent bus installation model; based on the intelligent bus installation model, a first assembly scheme and a first installation scheme are obtained; installing and detecting the first intensive busbar unit in real time based on a first assembly scheme and a first installation scheme to obtain a second detection result; carrying out power transmission detection on the installed first intensive busbar unit to obtain a third detection result; the embodiment of the application provides a method and a system for monitoring the whole period of the dense bus duct, which achieve the technical effects of carrying out real-time intelligent monitoring before, during and after installation on the dense bus duct, carrying out real-time early warning according to the monitoring results, improving the monitoring intelligent level, enhancing the early warning timeliness and improving the installation effect and the installation quality of the dense bus duct.
2. The quality detection of the storage process and the quality detection of the transportation process are adopted, so that the detection result of the installation process is supplemented, the early warning mechanism of the installation process is perfected, and the technical effect of guaranteeing the service life of the first intensive bus unit is improved for quality control before installation.
3. By analyzing the recorded information, possible missing inspection items, contents and the like are found, early warning information is sent to prompt timely, and the technical effect of improving the full-period monitoring method is achieved.
Example two
Based on the same inventive concept as the method for full cycle monitoring of an intensive bus duct in the foregoing embodiment, as shown in fig. 4, an embodiment of the present application provides a system for full cycle monitoring of an intensive bus duct, where the system includes:
a first obtaining unit 11, where the first obtaining unit 11 is configured to obtain a first quality detection index set based on a first intensive busbar unit;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain a first detection result by performing pre-installation detection on the first intensive bus unit by using the first quality detection index set;
the first building unit 13 is used for building a bus intelligent installation model;
A third obtaining unit 14, where the third obtaining unit 14 is configured to generate an installation scheme for the first intensive busbar unit based on the busbar intelligent installation model, to obtain a first assembly scheme and a first installation scheme;
a fourth obtaining unit 15, where the fourth obtaining unit 15 is configured to install the first intensive busbar unit based on the first assembly scheme and the first installation scheme and perform real-time detection through a plurality of image capturing devices, so as to obtain a second detection result;
a fifth obtaining unit 16, where the fifth obtaining unit 16 is configured to perform power transmission detection on the first intensive busbar unit after the installation is completed, and obtain a third detection result;
the first execution unit 17 is configured to obtain first early warning information based on the first detection result, the second detection result, and the third detection result, and perform real-time early warning on the first intensive bus unit.
Further, the system includes:
the second execution unit is used for building a bus intelligent installation model, the bus intelligent installation model comprises a bus assembly model and a bus installation model, and input information of the bus installation model comprises output information of the bus assembly model;
The first input unit is used for inputting the model and part information of the first intensive bus unit into the bus assembly model and outputting the first assembly scheme;
a sixth obtaining unit configured to obtain first installation trend information based on first environmental information of the first intensive busbar unit;
a seventh obtaining unit configured to input the first environment information, the first installation trend information, and the first assembly plan information into the busbar installation model, and obtain the first installation plan.
Further, the system includes:
an eighth obtaining unit, configured to perform a feature analysis of the installation position on the first environmental information, to obtain a first horizontal installation distance and a first vertical installation distance;
a ninth obtaining unit, configured to obtain a first embedded part position based on the first environmental information;
and the tenth obtaining unit is used for obtaining the first installation trend information from the first horizontal safety distance, the first vertical installation distance and the first embedded part position.
Further, the system includes:
an eleventh obtaining unit configured to obtain a first stacking position based on the first environmental information;
the twelfth obtaining unit is used for collecting the temperature and the humidity of the first stacking position and obtaining first temperature information and first humidity information;
a thirteenth obtaining unit, configured to perform air quality detection on the first stacking position, to obtain a first air quality detection result;
a fourteenth obtaining unit, configured to input the first temperature information, the first humidity information, and the first air quality detection result into an intelligent storage scheme model, to obtain a first storage scheme;
and the fifteenth obtaining unit is used for carrying out storage detection on the first intensive bus unit based on the first storage scheme to obtain the second detection result.
Further, the system includes:
a sixteenth obtaining unit for obtaining first transportation vehicle information after assembling the first intensive busbar unit based on the first assembly scheme;
A seventeenth obtaining unit configured to obtain preset stacking partition information and a transportation vehicle image acquisition result based on the plurality of image acquisition devices, the first transportation vehicle information;
an eighteenth obtaining unit for performing collision analysis based on the transportation compartment image acquisition result to obtain a first analysis result;
and a nineteenth obtaining unit, configured to detect the first intensive busbar unit based on the preset stacking partition information and the first analysis result, and obtain the second detection result.
Further, the system includes:
a twentieth obtaining unit for obtaining a mounting technique record and an electrical test record;
a twenty-first obtaining unit for obtaining an installation-technique recording standard and an electrical-test recording standard;
a twenty-second obtaining unit for performing integrity check on the mounting technology record and the electrical test record based on the mounting technology record standard and the electrical test record standard, to obtain a first check result;
And a twenty-third obtaining unit, configured to preset integrity threshold information, and obtain second early warning information if the first test result does not meet the integrity threshold information.
Further, the system includes:
a twenty-fourth obtaining unit configured to obtain first technical index information and second technical index information based on the mounting technology record and the electrical test record;
a twenty-fifth obtaining unit configured to obtain data amount information and data acquisition time information based on the first technical index information and the second technical index information;
and a twenty-sixth obtaining unit, configured to take the first technical index information, the second technical index information, the data amount information, and the data acquisition time information as indexes of integrity test, and perform integrity test on the installation technical record and the electrical test record to obtain the first test result.
Exemplary electronic device
An electronic device of an embodiment of the present application is described below with reference to fig. 5. Based on the same inventive concept as the method for monitoring the full cycle of the dense bus duct in the foregoing embodiment, the embodiment of the present application further provides a system for monitoring the full cycle of the dense bus duct, including: a processor coupled to a memory for storing a program that, when executed by the processor, causes the system to perform the method of any of the first aspects.
The electronic device 300 includes: a processor 302, a communication interface 303, a memory 301. Optionally, the electronic device 300 may also include a bus architecture 304. Wherein the communication interface 303, the processor 302 and the memory 301 may be interconnected by a bus architecture 304; the bus architecture 304 may be a peripheral component interconnect (peripheral component interconnect, PCI) bus, or an extended industry standard architecture (extended industry Standard architecture, EISA) bus, among others. The bus architecture 304 may be divided into address buses, data buses, control buses, and the like. For ease of illustration, only one thick line is shown in fig. 5, but not only one bus or one type of bus.
Processor 302 may be a CPU, microprocessor, ASIC, or one or more integrated circuits for controlling the execution of the programs of the present application.
The communication interface 303 uses any transceiver-like system for communicating with other devices or communication networks, such as ethernet, radio access network (radio access network, RAN), wireless local area network (wireless local area networks, WLAN), wired access network, etc.
The memory 301 may be, but is not limited to, ROM or other type of static storage device that may store static information and instructions, RAM or other type of dynamic storage device that may store information and instructions, or an electrically erasable programmable read-only memory (EEPROM), a CD-ROM or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be self-contained and coupled to the processor through bus architecture 304. The memory may also be integrated with the processor.
The memory 301 is used for storing computer-executable instructions for executing the inventive arrangements, and is controlled by the processor 302 for execution. The processor 302 is configured to execute computer-executable instructions stored in the memory 301, thereby implementing a method for full cycle monitoring of an intensive bus duct according to the foregoing embodiment of the present application.
Alternatively, the computer-executable instructions in the embodiments of the present application may be referred to as application program codes, which are not particularly limited in the embodiments of the present application.
The embodiment of the application provides a method for monitoring the whole period of an intensive bus duct, which comprises the following steps: detecting the first intensive busbar unit before installation through a first quality detection index set to obtain a first detection result; building an intelligent bus installation model; based on the intelligent bus installation model, a first assembly scheme and a first installation scheme are obtained; installing and detecting the first intensive busbar unit in real time based on a first assembly scheme and a first installation scheme to obtain a second detection result; carrying out power transmission detection on the installed first intensive busbar unit to obtain a third detection result; and acquiring first early warning information based on the first detection result, the second detection result and the third detection result, and carrying out real-time early warning on the first intensive bus unit.
Those of ordinary skill in the art will appreciate that: the first, second, etc. numbers referred to in the present application are merely for convenience of description and are not intended to limit the scope of the embodiments of the present application, nor represent the sequence. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any one," or the like, refers to any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one of a, b, or c (species ) may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable system. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by wired (e.g., coaxial cable, optical fiber, digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device including one or more servers, data centers, etc. that can be integrated with the available medium. The usable medium may be a magnetic medium (e.g., a floppy Disk, a hard Disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
The various illustrative logical blocks and circuits described in connection with the embodiments of the present application may be implemented or performed with a general purpose processor, a digital signal processor, an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic system, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the general purpose processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing systems, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software unit executed by a processor, or in a combination of the two. The software elements may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. In an example, a storage medium may be coupled to the processor such that the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC, which may reside in a terminal. In the alternative, the processor and the storage medium may reside in different components in a terminal. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the application has been described in connection with specific features and embodiments thereof, it will be apparent that various modifications and combinations can be made without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary illustrations of the present application defined by the present application and are deemed to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the scope of the application. Thus, the present application is intended to include such modifications and alterations insofar as they come within the scope of the application or the equivalents thereof.

Claims (6)

1. A method for full cycle monitoring of an intensive bus duct, the method being applied to a full cycle monitoring system communicatively coupled to a plurality of image acquisition devices, the method comprising:
obtaining a first quality detection index set based on the first intensive busbar unit;
detecting the first intensive busbar unit before installation through the first quality detection index set to obtain a first detection result;
building an intelligent bus installation model;
Generating an installation scheme of the first intensive busbar unit based on the busbar intelligent installation model, and obtaining a first assembly scheme and a first installation scheme;
installing the first intensive bus unit based on the first assembly scheme and the first installation scheme, and detecting the first intensive bus unit in real time through the plurality of image acquisition devices to obtain a second detection result;
carrying out power transmission detection on the first intensive busbar unit after the installation is completed, and obtaining a third detection result;
acquiring first early warning information based on the first detection result, the second detection result and the third detection result, and carrying out real-time early warning on the first intensive bus unit;
the generating of the installation scheme is performed on the first intensive bus unit based on the bus intelligent installation model, and a first assembly scheme and a first installation scheme are obtained, and the method further comprises the following steps:
building a bus intelligent installation model, wherein the bus intelligent installation model comprises a bus assembly model and a bus installation model, and input information of the bus installation model comprises output information of the bus assembly model;
inputting the model and part information of the first intensive bus unit into the bus assembly model, and outputting the first assembly scheme;
Acquiring first installation trend information based on first environment information of the first intensive bus unit;
inputting the first environment information, the first installation trend information and the first assembly scheme information into the bus installation model to obtain the first installation scheme;
the obtaining the first installation trend information further includes:
performing installation position feature analysis on the first environmental information to obtain a first horizontal installation distance and a first vertical installation distance;
acquiring a first embedded part position based on the first environmental information;
the first horizontal safety distance, the first vertical installation distance and the first embedded part position are used for obtaining the first installation trend information;
the method further comprises the steps of:
acquiring a first stacking position based on the first environmental information;
acquiring temperature and humidity of the first stacking position to obtain first temperature information and first humidity information;
performing air quality detection on the first stacking position to obtain a first air quality detection result;
inputting the first temperature information, the first humidity information and the first air quality detection result into an intelligent storage scheme model to obtain a first storage scheme;
And carrying out storage detection on the first intensive bus unit based on the first storage scheme to obtain the second detection result.
2. The method of claim 1, wherein the method further comprises:
after the first intensive bus unit is assembled based on the first assembly scheme, first transportation vehicle information is obtained;
acquiring preset stacking partition information and a transport carriage image acquisition result based on the plurality of image acquisition devices and the first transport vehicle information;
performing collision analysis based on the transport vehicle image acquisition result to obtain a first analysis result;
and detecting the first intensive bus unit based on the preset stacking partition information and the first analysis result to obtain the second detection result.
3. The method of claim 1, wherein the obtaining the first pre-warning information based on the first detection result, the second detection result, and the third detection result performs real-time pre-warning on the first dense bus unit, and further comprising:
obtaining a mounting technology record and an electrical test record;
obtaining an installation technology recording standard and an electrical test recording standard;
Based on the installation technology record standard and the electrical test record standard, carrying out integrity test on the installation technology record and the electrical test record to obtain a first test result;
presetting integrity threshold information, and if the first inspection result does not meet the integrity threshold information, obtaining second early warning information.
4. A method according to claim 3, wherein said integrity checking of said mounting technique record, said electrical test record, results in a first test result, said method further comprising:
based on the installation technical record and the electrical test record, obtaining first technical index information and second technical index information;
acquiring data quantity information and data acquisition time information based on the first technical index information and the second technical index information;
and taking the first technical index information, the second technical index information, the data quantity information and the data acquisition time information as integrity check indexes, and performing integrity check on the installation technical record and the electrical test record to obtain the first check result.
5. A system for full cycle monitoring of an intensive bus duct, the system comprising:
The first obtaining unit is used for obtaining a first quality detection index set based on the first intensive bus unit;
the second obtaining unit is used for detecting the first intensive bus unit before installation through the first quality detection index set to obtain a first detection result;
the first building unit is used for building a bus intelligent installation model;
the third obtaining unit is used for carrying out installation scheme generation on the first intensive bus unit based on the bus intelligent installation model to obtain a first assembly scheme and a first installation scheme;
the fourth obtaining unit is used for installing the first intensive bus unit based on the first assembly scheme and the first installation scheme and detecting the first intensive bus unit in real time through a plurality of image acquisition devices to obtain a second detection result;
a fifth obtaining unit, configured to perform power transmission detection on the installed first intensive busbar unit, to obtain a third detection result;
the first execution unit is used for obtaining first early warning information based on the first detection result, the second detection result and the third detection result and carrying out real-time early warning on the first intensive bus unit;
The generating of the installation scheme is performed on the first intensive bus unit based on the bus intelligent installation model, and a first assembly scheme and a first installation scheme are obtained, and the method further comprises the following steps:
building a bus intelligent installation model, wherein the bus intelligent installation model comprises a bus assembly model and a bus installation model, and input information of the bus installation model comprises output information of the bus assembly model;
inputting the model and part information of the first intensive bus unit into the bus assembly model, and outputting the first assembly scheme;
acquiring first installation trend information based on first environment information of the first intensive bus unit;
inputting the first environment information, the first installation trend information and the first assembly scheme information into the bus installation model to obtain the first installation scheme;
the obtaining the first installation trend information further includes:
performing installation position feature analysis on the first environmental information to obtain a first horizontal installation distance and a first vertical installation distance;
acquiring a first embedded part position based on the first environmental information;
the first horizontal safety distance, the first vertical installation distance and the first embedded part position are used for obtaining the first installation trend information;
Further comprises:
acquiring a first stacking position based on the first environmental information;
acquiring temperature and humidity of the first stacking position to obtain first temperature information and first humidity information;
performing air quality detection on the first stacking position to obtain a first air quality detection result;
inputting the first temperature information, the first humidity information and the first air quality detection result into an intelligent storage scheme model to obtain a first storage scheme;
and carrying out storage detection on the first intensive bus unit based on the first storage scheme to obtain the second detection result.
6. A system for full cycle monitoring of an intensive busway, comprising: a processor coupled to a memory for storing a program which, when executed by the processor, causes the system to perform the method of any one of claims 1 to 4.
CN202210507308.XA 2022-05-11 2022-05-11 Method and system for monitoring whole period of intensive bus duct Active CN114928012B (en)

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