CN116228166B - Water heater installation acceptance system based on artificial intelligence - Google Patents
Water heater installation acceptance system based on artificial intelligence Download PDFInfo
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- CN116228166B CN116228166B CN202310432114.2A CN202310432114A CN116228166B CN 116228166 B CN116228166 B CN 116228166B CN 202310432114 A CN202310432114 A CN 202310432114A CN 116228166 B CN116228166 B CN 116228166B
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/11—File system administration, e.g. details of archiving or snapshots
- G06F16/113—Details of archiving
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/13—File access structures, e.g. distributed indices
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/14—Details of searching files based on file metadata
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/906—Clustering; Classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The invention provides a water heater installation acceptance system based on artificial intelligence, which comprises: the system comprises a recording module, an analysis module and a management module; the recording module is used for inputting basic information of the water heater and establishing a water heater installation management file; collecting field installation information of the water heater, recording the field installation information into a water heater installation management file, and transmitting the water heater installation management file to an analysis module; the analysis module is used for performing intelligent acceptance analysis according to the acquired water heater installation management file, obtaining a water heater installation acceptance result, recording the water heater installation acceptance result in the water heater installation management file, and transmitting the water heater installation management file to the management module; the management module is used for classifying, storing and managing the water heater installation management files. The invention is helpful for improving the supervision level of the installation of the water heater.
Description
Technical Field
The invention relates to the technical field of water heater installation acceptance, in particular to an artificial intelligence-based water heater installation acceptance system.
Background
At present, in the process of installing and after installing the water heater, water heater installation personnel are required to check and accept the installation specification of the water heater. In the prior art, water heater installers usually need to record water heater installation acceptance information in a paper form filling mode, but because the quality of the installers is uneven, the water heater installation acceptance information is easy to record in error (or missing) or the form is lost, so that enterprises, gas departments and the like cannot effectively supervise the installation condition of the resident gas water heater, and potential safety hazards in the water heater are discovered in time.
Disclosure of Invention
Aiming at the technical problems that the water heater installation and acceptance information records are easy to be mistaken, missing or form missing due to uneven quality of installers, so that enterprises, gas departments and the like cannot effectively monitor the installation conditions of resident gas water heaters and timely find potential safety hazards in the conditions, the invention aims to provide an artificial intelligence-based water heater installation and acceptance system.
The aim of the invention is realized by adopting the following technical scheme:
in a first aspect, the present invention provides an artificial intelligence based water heater installation acceptance system, comprising: the system comprises a recording module, an analysis module and a management module; wherein, the liquid crystal display device comprises a liquid crystal display device,
the recording module is used for inputting basic information of the water heater and establishing a water heater installation management file; collecting field installation information of the water heater, recording the field installation information into a water heater installation management file, and transmitting the water heater installation management file to an analysis module;
the analysis module is used for performing intelligent acceptance analysis according to the acquired water heater installation management file, obtaining a water heater installation acceptance result, recording the water heater installation acceptance result in the water heater installation management file, and transmitting the water heater installation management file to the management module;
the management module is used for classifying, storing and managing the water heater installation management files.
In one embodiment, the recording module comprises an input unit and a field acquisition unit;
the input unit is used for inputting basic information of the water heater and establishing a water heater installation management file, wherein the basic information comprises the model number, the basic size and the like of the water heater;
the on-site acquisition unit is used for acquiring on-site installation information of the water heater, recording the on-site installation information into a water heater installation management file, and transmitting the water heater installation management file to the analysis module;
the on-site installation information comprises water heater on-site installation checking information recorded based on a form, water heater installation positions recorded based on a drawing, gas pipelines, waterway information and water heater installation on-site recorded images.
In one embodiment, the on-site acquisition unit comprises a form recording unit, a drawing recording unit and an image acquisition unit;
the form recording unit is used for recording water heater field installation checking information based on the form to obtain a water heater installation field recording check list, and recording the water heater installation field recording check list in a water heater installation management file;
the drawing recording unit is used for recording the installation position of the water heater, the gas pipeline and the waterway information based on the field drawing of the installation place of the water heater, obtaining the water heater installation field recording drawing, and recording the water heater installation field recording drawing in the water heater installation management file;
the image acquisition unit is used for recording the on-site recorded image after the water heater is installed, obtaining the on-site recorded image of the water heater, and recording the on-site recorded image of the water heater in the water heater installation management file.
In one embodiment, the analysis module comprises an intelligent analysis unit and a archive management unit;
the intelligent analysis unit is used for performing intelligent acceptance analysis according to the acquired water heater installation management file to obtain a water heater installation acceptance result;
the file management unit is used for recording the obtained water heater installation acceptance result in the water heater installation management file according to the obtained water heater installation management file, and transmitting the water heater installation management file to the management module.
In one embodiment, an intelligent analysis unit includes:
extracting basic information of the water heater, a water heater installation site record check list and a water heater installation site record image from the acquired water heater installation management file; and carrying out intelligent installation acceptance analysis on the extracted information based on a preset intelligent analysis engine to obtain a water heater installation acceptance result.
In one embodiment, the intelligent analysis unit includes a specification entry unit;
the standard input unit is used for inputting installation standard information of the water heater;
the intelligent analysis engine acquires corresponding installation specification information based on the basic information of the water heater, and performs intelligent installation acceptance analysis on the extracted water heater installation site record check list and the water heater installation site record image based on the installation specification information to obtain a water heater installation acceptance result.
In one embodiment, the management module includes a storage unit and a display unit;
the storage unit is used for classifying, storing and managing the water heater installation and management files to finish the archiving of the water heater installation and management files;
the display unit is used for retrieving the corresponding water heater installation management files from the database according to the query instruction for display.
The beneficial effects of the invention are as follows: according to the water heater installation checking and accepting system, in the water heater installation process or after the water heater is installed, the basic information and the on-site installation information of the water heater are recorded through the recording module and recorded in the water heater installation management file, so that gear establishment recording of the installation information of each water heater can be facilitated, and unified management of water heater installation data is facilitated; meanwhile, based on the collected field installation information, intelligent acceptance analysis is carried out through an analysis module, so that intelligent water heater installation acceptance is completed, reliability of the water heater installation acceptance is improved, finally, the water heater installation management files are uniformly archived and stored through a management module, effective management of the installation conditions of the user gas water heater by enterprises, gas departments and the like is facilitated, and the supervision level of water heater installation is improved.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
Fig. 1 is a frame structure diagram of the present invention.
Detailed Description
The invention is further described in connection with the following application scenario.
Referring to FIG. 1, there is shown an artificial intelligence based water heater installation acceptance system comprising: the system comprises a recording module, an analysis module and a management module; wherein, the liquid crystal display device comprises a liquid crystal display device,
the recording module is used for inputting basic information of the water heater and establishing a water heater installation management file; collecting field installation information of the water heater, recording the field installation information into a water heater installation management file, and transmitting the water heater installation management file to an analysis module;
the analysis module is used for performing intelligent acceptance analysis according to the acquired water heater installation management file, obtaining a water heater installation acceptance result, recording the water heater installation acceptance result in the water heater installation management file, and transmitting the water heater installation management file to the management module;
the management module is used for classifying, storing and managing the water heater installation management files.
According to the embodiment of the invention, during or after the water heater is installed, the basic information and the site installation information of the water heater are recorded by the recording module and recorded in the water heater installation management file, so that the installation information of each water heater can be recorded in a gear establishing way, and unified management of the water heater installation data is facilitated; meanwhile, based on the collected field installation information, intelligent acceptance analysis is carried out through an analysis module, so that intelligent water heater installation acceptance is completed, reliability of the water heater installation acceptance is improved, finally, the water heater installation management files are uniformly archived and stored through a management module, effective management of the installation conditions of the user gas water heater by enterprises, gas departments and the like is facilitated, and the supervision level of water heater installation is improved.
In a scene, the recording module can be set based on intelligent terminals (such as intelligent mobile phones, special intelligent devices and the like) adopted by operation and maintenance personnel, and the analysis module can be set based on local terminals built by managers or cloud servers and the like; the management module can be set based on a local terminal built by a manager or a cloud server and the like.
In one embodiment, the recording module comprises an input unit and a field acquisition unit;
the input unit is used for inputting basic information of the water heater and establishing a water heater installation management file, wherein the basic information comprises the model number, the basic size and the like of the water heater;
the on-site acquisition unit is used for acquiring on-site installation information of the water heater, recording the on-site installation information into a water heater installation management file, and transmitting the water heater installation management file to the analysis module;
the on-site installation information comprises water heater on-site installation checking information recorded based on a form, water heater installation positions recorded based on a drawing, gas pipelines, waterway information and water heater installation on-site recorded images.
In one embodiment, the on-site acquisition unit comprises a form recording unit and an image acquisition unit;
the form recording unit is used for recording water heater field installation checking information based on the form to obtain a water heater installation field recording check list, and recording the water heater installation field recording check list in a water heater installation management file;
the image acquisition unit is used for recording the on-site recorded image after the water heater is installed, obtaining the on-site recorded image of the water heater, and recording the on-site recorded image of the water heater in the water heater installation management file.
In one embodiment, the field acquisition unit further comprises a drawing recording unit;
the drawing recording unit is used for recording the installation position of the water heater and the information of the gas pipeline and the waterway based on the field drawing of the installation place of the water heater, obtaining the water heater installation field recording drawing and recording the water heater installation field recording drawing in the water heater installation management file.
In a scene, after a water heater installer arrives at an installation site, a water heater installation management file is newly built according to installation sites, user information and the like, and basic information such as the size, the type, the manufacturer and the like of the water heater is automatically acquired from a background server through inputting the model of the water heater and recorded in the water heater installation management file. Recording the conditions of the water heater installation site (such as whether the water heater is fixed firmly, whether gas and waterway pipelines leak, the installation position of the water heater, whether the installation position of the water heater meets the specified requirements in the surrounding environment, whether the water heater can normally operate, whether water delivery and gas delivery pipeline materials can adapt to the use requirements of the water heater and the like) through a preset form in the water heater installation process or after the water heater is installed; meanwhile, based on a pre-acquired drawing, the installation position, the pipeline position and the like of the water heater are approximately recorded on the drawing; shooting the conditions (such as the installation site environment conditions, the full view of the water heater installation area and the like) of the water heater after the water heater is installed through an image acquisition unit (such as a camera, a camera and the like) to obtain a water heater installation site recorded image; the collected information is uniformly recorded into the water heater installation management file through the on-site collection unit to be recorded, so that the standardization and reliability level of on-site information recording can be improved.
In one embodiment, the analysis module comprises an intelligent analysis unit and a archive management unit;
the intelligent analysis unit is used for performing intelligent acceptance analysis according to the acquired water heater installation management file to obtain a water heater installation acceptance result;
the file management unit is used for recording the obtained water heater installation acceptance result in the water heater installation management file according to the obtained water heater installation management file, and transmitting the water heater installation management file to the management module.
In one embodiment, an intelligent analysis unit includes:
extracting basic information of the water heater, a water heater installation site record check list and a water heater installation site record image from the acquired water heater installation management file; and carrying out intelligent installation acceptance analysis on the extracted information based on a preset intelligent analysis engine to obtain a water heater installation acceptance result.
In one embodiment, the intelligent analysis unit includes a specification entry unit;
the standard input unit is used for inputting installation standard information of the water heater;
the intelligent analysis engine acquires corresponding installation specification information based on the basic information of the water heater, and performs intelligent installation acceptance analysis on the extracted water heater installation site record check list and the water heater installation site record image based on the installation specification information to obtain a water heater installation acceptance result.
In one embodiment, the intelligent analysis unit judges whether the water heater meets the safety acceptance requirement according to each detection item (such as whether the water heater is fixed firmly, whether gas and waterway pipelines leak, whether the water heater installation position and the water heater installation position meet the specified requirements in the surrounding environment, whether the water heater can normally operate, whether water delivery and gas pipeline materials can adapt to the use requirement of the water heater and the like) in a water heater installation site record check list, and when the detection item does not meet the preset safety acceptance standard, the water heater is marked to have the safety acceptance hidden danger; meanwhile, analyzing according to the obtained water heater installation site recorded image based on the artificial intelligent image analysis engine, wherein the analysis comprises the steps of detecting the appearance of the water heater according to the water heater installation site recorded image, detecting whether the appearance of the water heater has defects, analyzing whether a dangerous source exists in a specified safety range of the water heater according to the water heater installation site recorded image, detecting whether the installation environment of the water heater meets safety regulations, and obtaining an image analysis result; and when the image analysis result does not meet the safety acceptance standard, marking that the water heater has potential safety acceptance hazards. After the intelligent analysis is completed, the intelligent analysis unit records the hidden safety acceptance hazards existing in the water heater installation management file.
The intelligent analysis unit is used for intelligently and automatically analyzing the obtained water heater installation site record check list and water heater installation site record image by utilizing the intelligent analysis engine, timely feedback and record can be carried out on potential safety hazards which are not recorded or appear on site, and the reliability and the intelligent level of safety acceptance of the water heater are improved.
In one embodiment, the intelligent analysis unit comprises an image preprocessing unit and an image analysis unit; wherein, the liquid crystal display device comprises a liquid crystal display device,
the image preprocessing unit is used for preprocessing the acquired water heater installation site recorded image to obtain a preprocessed water heater installation site recorded image;
the image analysis unit is used for analyzing the preprocessed water heater installation site recorded image, detecting the appearance of the water heater according to the water heater installation site recorded image, detecting whether the appearance of the water heater has defects, analyzing whether a dangerous source exists in the specified safety range of the water heater according to the water heater installation site recorded image, detecting whether the installation environment of the water heater meets the safety specification, and obtaining an image analysis result; and when the image analysis result does not meet the safety acceptance standard, marking that the water heater has potential safety acceptance hazards.
In one embodiment, the image preprocessing unit preprocesses an acquired water heater installation site recorded image, specifically including:
performing edge detection processing based on an LBP algorithm according to the acquired water heater installation site recorded image, and recording edge pixel points in the image;
and detecting noise points according to the acquired edge pixel points, wherein the adopted noise point detection function is as follows:
in the method, in the process of the invention,representing pixel dot +.>Wherein when two conditions in the detection function are met at the same time, the pixel point is marked +.>Is a noise pixel point; wherein->Representing pixel dot +.>Gray value of +.>And->Representing the minimum gray value and the maximum gray value, respectively, in the image +.>Expressed in pixelsIs +.>Neighborhood pixel points within the range; />And->Respectively representing the minimum gray value and the maximum gray value of the neighborhood pixel points; />Represents a set threshold gray value, wherein +.>；
Removing noise pixel points from the edge pixel point set according to the obtained edge pixel point set to obtain an updated edge pixel point set;
converting the water heater installation site recorded image into a Lab color space to obtain a brightness component subgraph picL;
and carrying out brightness adjustment processing according to the obtained brightness component subgraph, wherein the adopted brightness adjustment function is as follows:
in the method, in the process of the invention,representing pixel after brightness adjustment +.>Luminance component value, < >>Representing pixel pointsBelongs to edge pixel points, < >>Representing pixel dot +.>Not belonging to edge pixels, < >>Representing the set standard luminance component value, +.>Representing distance pixel +.>Luminance component value corresponding to nearest edge pixel,/-, and>and->Represents a set weight adjustment factor, wherein +.>；
Subgraph based on luminance component after adjustment processingAnd converting to RGB color space again to obtain the preprocessed water heater installation site recorded image.
Aiming at the prior art, the acquired water heater installation site recorded image is easily influenced by the outdoor environment of a building and the shooting angle, so that the acquired water heater installation site recorded image is influenced by unclear influences such as reflection and the like, and the quality of the water heater installation site recorded image is influenced. According to the technical scheme for preprocessing the water heater installation site recorded image, firstly, edge detection is carried out on the acquired water heater installation site recorded image, edge pixel point characteristic information in the image is acquired, and noise pixel points possibly exist in the edge pixel points are considered, so that a noise pixel point detection function is particularly provided, noise pixel points existing in the image can be comprehensively detected according to the gray characteristics of the image and the regional gray characteristics of the pixel points, and the noise pixel points are prevented from being used as brightness adjustment basis in the subsequent processing process, and the integral quality of image brightness adjustment is prevented from being influenced. According to the method, space conversion is carried out on an image recorded on the water heater installation site, and brightness adjustment processing is completed on the image according to the obtained brightness subgraph, wherein a brightness adjustment function is provided, and brightness adjustment can be carried out on each region in the image by taking edge pixel points in the image as a basis and characteristic references, wherein the influence of abnormal conditions such as reflection of light on the edge pixel points is considered to be small, so that the brightness adjustment is carried out on the image by taking the edge pixel points as the basis, the brightness information of the image can be effectively balanced, the abnormal brightness conditions in the image can be effectively and adaptively adjusted, and the overall definition of the image is improved. And simultaneously, a foundation is laid for further appearance detection according to the preprocessed water heater installation site recorded image.
In one embodiment, the management module includes a storage unit and a display unit;
the storage unit is used for classifying, storing and managing the water heater installation and management files to finish the archiving of the water heater installation and management files;
the display unit is used for retrieving the corresponding water heater installation management files from the database according to the query instruction for display.
In a scene, a gas company can uniformly archive and manage the installation and acceptance conditions of the gas water heater of users in the district through a management module, and timely revisit and arrange the users with potential safety hazard identifications to solve the potential safety hazard existing in the installation of the water heater, thereby being beneficial to improving the overall management level of the safety acceptance of the water heater.
It should be noted that, in each embodiment of the present invention, each functional unit/module may be integrated in one processing unit/module, or each unit/module may exist alone physically, or two or more units/modules may be integrated in one unit/module. The integrated units/modules described above may be implemented either in hardware or in software functional units/modules.
From the description of the embodiments above, it will be apparent to those skilled in the art that the embodiments described herein may be implemented in hardware, software, firmware, middleware, code, or any suitable combination thereof. For a hardware implementation, the processor may be implemented in one or more of the following units: an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to perform the functions described herein, or a combination thereof. For a software implementation, some or all of the flow of an embodiment may be accomplished by a computer program to instruct the associated hardware. When implemented, the above-described programs may be stored in or transmitted as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. The computer readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, 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.
Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the scope of the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (4)
1. An artificial intelligence based water heater installation acceptance system, comprising: the system comprises a recording module, an analysis module and a management module; wherein, the liquid crystal display device comprises a liquid crystal display device,
the recording module is used for inputting basic information of the water heater and establishing a water heater installation management file; collecting field installation information of the water heater, recording the field installation information into a water heater installation management file, and transmitting the water heater installation management file to an analysis module;
the analysis module is used for performing intelligent acceptance analysis according to the acquired water heater installation management file, obtaining a water heater installation acceptance result, recording the water heater installation acceptance result in the water heater installation management file, and transmitting the water heater installation management file to the management module;
the management module is used for classifying, storing and managing the water heater installation management files;
the recording module comprises an input unit and a field acquisition unit;
the input unit is used for inputting basic information of the water heater and establishing a water heater installation management file, wherein the basic information comprises the model number and the basic size of the water heater;
the on-site acquisition unit is used for acquiring on-site installation information of the water heater, recording the on-site installation information into a water heater installation management file, and transmitting the water heater installation management file to the analysis module;
the water heater installation information comprises water heater on-site installation checking information recorded based on a form, water heater installation positions recorded based on a drawing, gas pipelines, waterway information and water heater installation on-site recorded images;
the on-site acquisition unit comprises a form recording unit and an image acquisition unit;
the form recording unit is used for recording water heater field installation checking information based on the form to obtain a water heater installation field recording check list, and recording the water heater installation field recording check list in a water heater installation management file;
the image acquisition unit is used for recording the on-site recorded image after the water heater is installed, obtaining the on-site recorded image of the water heater, and recording the on-site recorded image of the water heater in the water heater installation management file;
the analysis module comprises an intelligent analysis unit and a file management unit;
the intelligent analysis unit is used for extracting basic information of the water heater, a water heater installation site record check list and a water heater installation site record image from the acquired water heater installation management file; performing intelligent installation acceptance analysis on the extracted information based on a preset intelligent analysis engine to obtain a water heater installation acceptance result;
the file management unit is used for recording the obtained water heater installation and acceptance result in the water heater installation and management file according to the obtained water heater installation and management file, and transmitting the water heater installation and management file to the management module;
the intelligent analysis unit comprises an image preprocessing unit and an image analysis unit; wherein, the liquid crystal display device comprises a liquid crystal display device,
the image preprocessing unit is used for preprocessing the acquired water heater installation site recorded image to obtain a preprocessed water heater installation site recorded image;
the image analysis unit is used for analyzing the preprocessed water heater installation site recorded image, detecting the appearance of the water heater according to the water heater installation site recorded image, detecting whether the appearance of the water heater has defects, analyzing whether a dangerous source exists in the specified safety range of the water heater according to the water heater installation site recorded image, detecting whether the installation environment of the water heater meets the safety specification, and obtaining an image analysis result; when the image analysis result does not meet the safety acceptance standard, marking that the water heater has potential safety acceptance hazards;
the image preprocessing unit preprocesses the acquired water heater installation site recorded image, and specifically comprises the following steps:
performing edge detection processing based on an LBP algorithm according to the acquired water heater installation site recorded image, and recording edge pixel points in the image;
and detecting noise points according to the acquired edge pixel points, wherein the adopted noise point detection function is as follows:
in (1) the->Representing pixel dot +.>Wherein when two conditions in the detection function are met at the same time, the pixel point is marked +.>Is a noise pixel point; wherein->Representing pixel dot +.>Gray value of +.>Andrepresenting the minimum gray value and the maximum gray value, respectively, in the image +.>Expressed in pixels->Is centralNeighborhood pixel points within the range; />And->Respectively representing the minimum gray value and the maximum gray value of the neighborhood pixel points; />Represents a set threshold gray value, wherein +.>；
Removing noise pixel points from the edge pixel point set according to the obtained edge pixel point set to obtain an updated edge pixel point set;
converting the water heater installation site recorded image into a Lab color space to obtain a brightness component subgraph picL;
and carrying out brightness adjustment processing according to the obtained brightness component subgraph, wherein the adopted brightness adjustment function is as follows:
in the method, in the process of the invention,representing pixel after brightness adjustment +.>Luminance component value, < >>Representing pixel dot +.>Belongs to edge pixel points, < >>Representing pixel dot +.>Not belonging to edge pixels, < >>Representing the set standard luminance component value, +.>Representing distance pixel +.>Luminance component value corresponding to nearest edge pixel,/-, and>and->Represents a set weight adjustment factor, wherein +.>；
Subgraph based on luminance component after adjustment processingAnd converting to RGB color space again to obtain the preprocessed water heater installation site recorded image.
2. The artificial intelligence based water heater installation acceptance system of claim 1, wherein the on-site acquisition unit further comprises a drawing recording unit;
the drawing recording unit is used for recording the installation position of the water heater and the information of the gas pipeline and the waterway based on the field drawing of the installation place of the water heater, obtaining the water heater installation field recording drawing and recording the water heater installation field recording drawing in the water heater installation management file.
3. An artificial intelligence based water heater installation acceptance system of claim 1, wherein the intelligent analysis unit comprises a specification entry unit;
the standard input unit is used for inputting installation standard information of the water heater;
the intelligent analysis engine acquires corresponding installation specification information based on the basic information of the water heater, and performs intelligent installation acceptance analysis on the extracted water heater installation site record check list and the water heater installation site record image based on the installation specification information to obtain a water heater installation acceptance result.
4. The artificial intelligence based water heater installation acceptance system of claim 2, wherein the management module comprises a storage unit and a display unit;
the storage unit is used for classifying, storing and managing the water heater installation and management files to finish the archiving of the water heater installation and management files;
the display unit is used for retrieving the corresponding water heater installation management files from the database according to the query instruction for display.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104063848A (en) * | 2014-06-19 | 2014-09-24 | 中安消技术有限公司 | Enhancement method and device for low-illumination image |
| JP6042013B1 (en) * | 2016-05-16 | 2016-12-14 | 一般財団法人首都高速道路技術センター | Inspection information management system and inspection information management method |
| CN111754737A (en) * | 2020-07-17 | 2020-10-09 | 国网山西省电力公司营销服务中心 | Online identification and evaluation device and method for installation acceptance of metering device |
| CN112966979A (en) * | 2021-04-02 | 2021-06-15 | 长沙格力暖通制冷设备有限公司 | Product quality monitoring method and device and user terminal |
| CN113850562A (en) * | 2021-09-03 | 2021-12-28 | 北京兴油工程项目管理有限公司 | Intelligent side station supervision method and system |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104063848A (en) * | 2014-06-19 | 2014-09-24 | 中安消技术有限公司 | Enhancement method and device for low-illumination image |
| JP6042013B1 (en) * | 2016-05-16 | 2016-12-14 | 一般財団法人首都高速道路技術センター | Inspection information management system and inspection information management method |
| CN111754737A (en) * | 2020-07-17 | 2020-10-09 | 国网山西省电力公司营销服务中心 | Online identification and evaluation device and method for installation acceptance of metering device |
| CN112966979A (en) * | 2021-04-02 | 2021-06-15 | 长沙格力暖通制冷设备有限公司 | Product quality monitoring method and device and user terminal |
| CN113850562A (en) * | 2021-09-03 | 2021-12-28 | 北京兴油工程项目管理有限公司 | Intelligent side station supervision method and system |
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