CN111866184A - Label-level electric power AI sample acquisition platform and use method thereof - Google Patents
Label-level electric power AI sample acquisition platform and use method thereof Download PDFInfo
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- CN111866184A CN111866184A CN202010824228.8A CN202010824228A CN111866184A CN 111866184 A CN111866184 A CN 111866184A CN 202010824228 A CN202010824228 A CN 202010824228A CN 111866184 A CN111866184 A CN 111866184A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
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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
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a label-level electric power AI sample acquisition platform and a using method thereof, belonging to the technical field of image sample acquisition, comprising the following steps: the system comprises a handheld terminal, a workstation, a switch and a platform server, wherein the handheld terminal is connected with the switch through a wireless network, the switch is connected with the platform server through the wireless network, the workstation is connected with the platform server through a local area network built by the switch, and the handheld terminal is an AI camera operated based on an Android system.
Description
Technical Field
The invention relates to the technical field of image sample collection, in particular to a label-level electric power AI sample collection platform and a use method thereof.
Background
Along with the more and more intelligent of electric power inspection tour business, long-range intelligence inspection tour and replace the on-the-spot inspection of people gradually. The artificial intelligence image recognition technology based on label-level mass samples is relied behind remote intelligent inspection, so in order to efficiently collect, manage and utilize electric power AI sample data, a set of sample collection platform is needed to manage the mass samples. The label-level sample collection platform for the power field has the main functions of combining artificial intelligence algorithm development and sample management requirements: the method comprises the steps of remotely collecting samples, screening the samples, marking the samples, auditing the marking quality, counting the samples, exporting the samples and the like. However, at present, no customized platform specially designed for the requirement of the power sample collection management function exists in China.
Disclosure of Invention
The invention aims to provide a tag-level power AI sample collection platform and a use method thereof, so as to solve the problem of the customized platform which is provided by the background technology and lacks of power sample collection management function requirements.
In order to achieve the purpose, the invention provides the following technical scheme: a tag-level power AI sample acquisition platform, comprising: the system comprises a handheld terminal, a workstation, a switch and a platform server, wherein the handheld terminal is connected with the switch through a wireless network, the switch is connected with the platform server through the wireless network, and the workstation is connected with the platform server through the switch building local area network.
Preferably, the handheld terminal operates the AI camera based on an Android system.
Preferably, the platform server is a server operating based on a centros operating system.
Preferably, the workstation is a computer with an installed Web browser.
Preferably, the switch is a network hardware device.
A use method of a tag-level power AI sample collection platform comprises the following steps:
s1: the platform work flow is as follows:
a1: the handheld terminal collects and uploads an electric power AI image sample;
a2: the platform server automatically receives and stores the samples;
a3: screening, labeling and auditing samples by a workstation;
a4: classifying, counting and exporting samples by the workstation;
s2: sample processing flow:
b1: the administrator distributes the samples to be screened to the screening personnel;
b2: screening personnel screen effective samples;
b3: the administrator distributes the effective samples to the marking personnel;
b4: marking a minimum circumscribed rectangle or a minimum circumscribed polygon on a target in the effective sample by a marking person, naming the target by using a preset label, and outputting a marked sample;
b5: the administrator distributes the marked samples to the auditors;
b6: auditing the sample labeling quality by an auditor, and outputting an auditing result;
b7: the auditing is passed, and the sample processing is finished; and automatically returning the samples which do not pass the examination to the annotating personnel to revise the annotation until all the annotations are qualified.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, the power AI sample can be efficiently collected by adopting the method for remotely collecting the sample by using the handheld terminal, the sample can be rapidly processed by adopting a screening, labeling and auditing pipeline method, the sample is effectively managed by adopting a multi-dimensional classification, statistics and derivation method, an artificial intelligence algorithm is rapidly driven to rapidly develop and optimize, and the development of remote intelligent inspection business in the power field is promoted.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a flow chart of the sample collection platform operation of the present invention;
FIG. 3 is a flow chart of a sample processing method of the present invention.
In the figure: 100 handheld terminals, 200 workstations, 300 switches, 400 platform servers.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a tag-level electric power AI sample collection platform and a use method thereof, wherein a method for remotely collecting samples by adopting a handheld terminal can efficiently collect electric power AI samples, a method for screening, labeling and auditing a production line can rapidly process the samples, and the development of remote intelligent inspection business in the electric power field is promoted, and please refer to fig. 1, which comprises the following steps: a hand-held terminal 100, a workstation 200, a switch 300 and a platform server 400;
the handheld terminal 100 is connected with the switch 300 through a wireless network, the switch 300 is connected with the platform server 400 through a wireless network, the workstation 200 establishes a local area network connection platform server 400 through the switch 300, the handheld terminal 100 is an AI camera operating based on an Android system, the platform server 400 is a server operating based on a Centos7 operating system, the workstation 200 is a computer with an installed Web browser, and the switch 300 is a network hardware device.
The invention also provides a use method of the label-level electric power AI sample acquisition platform,
please refer to FIGS. 2-3
The use method of the label-level electric power AI sample collection platform comprises the following steps:
s1: the platform work flow is as follows:
a1: the handheld terminal collects and uploads an electric power AI image sample;
a2: the platform server automatically receives and stores the samples;
a3: screening, labeling and auditing samples by a workstation;
a4: classifying, counting and exporting samples by the workstation;
s2: sample processing flow:
b1: the administrator distributes the samples to be screened to the screening personnel;
b2: screening personnel screen effective samples;
b3: the administrator distributes the effective samples to the marking personnel;
b4: marking a minimum circumscribed rectangle or a minimum circumscribed polygon on a target in the effective sample by a marking person, naming the target by using a preset label, and outputting a marked sample;
b5: the administrator distributes the marked samples to the auditors;
b6: auditing the sample labeling quality by an auditor, and outputting an auditing result;
b7: the auditing is passed, and the sample processing is finished; and automatically returning the samples which do not pass the examination to the annotating personnel to revise the annotation until all the annotations are qualified.
While the invention has been described above with reference to an embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the various features of the embodiments disclosed herein may be used in any combination, provided that there is no structural conflict, and the combinations are not exhaustively described in this specification merely for the sake of brevity and conservation of resources. Therefore, it is intended that the invention not be limited to the particular embodiments disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Claims (6)
1. The utility model provides a label level electric power AI sample acquisition platform which characterized in that: the method comprises the following steps: handheld terminal (100), workstation (200), switch (300) and platform server (400), handheld terminal (100) pass through wireless network with switch (300) are connected, switch (300) pass through wireless network with platform server (400) are connected, workstation (200) pass through switch (300) are built the LAN and are connected platform server (400).
2. The tag-level power AI sample collection platform of claim 1, wherein: the handheld terminal (100) runs the AI camera based on the Android system.
3. The tag-level power AI sample collection platform of claim 1, wherein: the platform server (400) is a server that runs based on the Centos7 operating system.
4. The tag-level power AI sample collection platform of claim 1, wherein: the workstation (200) is a computer with an installed Web browser.
5. The tag-level power AI sample collection platform of claim 1, wherein: the switch (300) is a network hardware device.
6. The method of using the tag-level power AI sample collection platform of claim 1, wherein: the use method of the label-level electric power AI sample collection platform comprises the following steps:
s1: the platform work flow is as follows:
a1: the handheld terminal collects and uploads an electric power AI image sample;
a2: the platform server automatically receives and stores the samples;
a3: screening, labeling and auditing samples by a workstation;
a4: classifying, counting and exporting samples by the workstation;
s2: sample processing flow:
b1: the administrator distributes the samples to be screened to the screening personnel;
b2: screening personnel screen effective samples;
b3: the administrator distributes the effective samples to the marking personnel;
b4: marking a minimum circumscribed rectangle or a minimum circumscribed polygon on a target in the effective sample by a marking person, naming the target by using a preset label, and outputting a marked sample;
b5: the administrator distributes the marked samples to the auditors;
b6: auditing the sample labeling quality by an auditor, and outputting an auditing result;
b7: the auditing is passed, and the sample processing is finished; and automatically returning the samples which do not pass the examination to the annotating personnel to revise the annotation until all the annotations are qualified.
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CN202010824228.8A CN111866184A (en) | 2020-08-17 | 2020-08-17 | Label-level electric power AI sample acquisition platform and use method thereof |
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107808149A (en) * | 2017-11-17 | 2018-03-16 | 腾讯数码(天津)有限公司 | A kind of face information mask method, device and storage medium |
CN108470386A (en) * | 2018-04-16 | 2018-08-31 | 国网上海市电力公司 | A kind of cable run intelligent inspection system based on GPS and cloud platform |
CN212259019U (en) * | 2020-08-17 | 2020-12-29 | 安徽南瑞继远电网技术有限公司 | Sign-level electric power AI sample acquisition platform |
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2020
- 2020-08-17 CN CN202010824228.8A patent/CN111866184A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107808149A (en) * | 2017-11-17 | 2018-03-16 | 腾讯数码(天津)有限公司 | A kind of face information mask method, device and storage medium |
CN108470386A (en) * | 2018-04-16 | 2018-08-31 | 国网上海市电力公司 | A kind of cable run intelligent inspection system based on GPS and cloud platform |
CN212259019U (en) * | 2020-08-17 | 2020-12-29 | 安徽南瑞继远电网技术有限公司 | Sign-level electric power AI sample acquisition platform |
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