Design and research of business processor of electricity consumption information collection system

preprint OA: closed
Full text JSON View at publisher

Abstract

Abstract In order to improve the electricity consumption information collection system, this research designed a new type of business processor, which can realize the information collection of the user's electricity collection environment, and realize the collection of different information on the surrounding environment to detect the data information of the surrounding environment. Through the marketing and utilization of smart IoT, it realizes the operation of electricity data collection, parameter issuance, electricity statistics and line loss calculation for residential users, special transformer users, and substation gateways, which improves the intelligence and automation capabilities of electricity information collection. When designing the front-end processor, the power consumption information collection function is improved by establishing a connection with the front-end processor. The research also designed an active queue management (Active Queue Management, AQM) algorithm model, which can improve the power consumption information data transmission and application capabilities. Through experiments, the method of this research has greatly improved the business capability of the electricity consumption information collection system with high accuracy.
Full text 11,286 characters · extracted from preprint-html · click to expand
Design and research of business processor of electricity consumption information collection system | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Design and research of business processor of electricity consumption information collection system Xingliang CHENG, ZHOU Mingli, Xiaojun LI, ZOU Tongyang, MEN Siyu, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5376783/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract In order to improve the electricity consumption information collection system, this research designed a new type of business processor, which can realize the information collection of the user's electricity collection environment, and realize the collection of different information on the surrounding environment to detect the data information of the surrounding environment. Through the marketing and utilization of smart IoT, it realizes the operation of electricity data collection, parameter issuance, electricity statistics and line loss calculation for residential users, special transformer users, and substation gateways, which improves the intelligence and automation capabilities of electricity information collection. When designing the front-end processor, the power consumption information collection function is improved by establishing a connection with the front-end processor. The research also designed an active queue management (Active Queue Management, AQM) algorithm model, which can improve the power consumption information data transmission and application capabilities. Through experiments, the method of this research has greatly improved the business capability of the electricity consumption information collection system with high accuracy. Electricity information collection business processor smart IoT data collection information data transmission Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5376783","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":374285333,"identity":"b94f116c-32fb-4df4-8942-a77573aa3a5b","order_by":0,"name":"Xingliang CHENG","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABFUlEQVRIie3RMUvDQBTA8RceXJfgObYgyVe4EMjUb+LyDqFZqhQKmQo2BK5j14LfwzkS0EVSxwwiKQXnBhyy6YVStwsdBe8/3fB+d9wdgM32RxME3/cMgQ7AADjiU30GQboYwG7TkdGK3YgzDkLyuHMkYutGl32z/GH1NtspdscQZfqVfPhhARHAYnxtIsP315mQyp0zZDK7KufBYwGTGp4nt0uTqaakydBR6Mb7kSKKCngRzrIwEv9IhCa8yToSZo7eoYeIKs41IakQZNpoIhBZLwmqqX7kMg/1v8gMSgo2BUNBPXfxqvgzaJPc89e5TNuEfL7eNvVhMTZfH9zo9+PQPa3ION412NenpdP2TtpsNtt/7QekCVw00zzLQwAAAABJRU5ErkJggg==","orcid":"","institution":"State Grid Luzhou Power Supply Company","correspondingAuthor":true,"prefix":"","firstName":"Xingliang","middleName":"","lastName":"CHENG","suffix":""},{"id":374285334,"identity":"ea19dbe5-195a-4d7e-aabc-aabbb495bf4f","order_by":1,"name":"ZHOU Mingli","email":"","orcid":"","institution":"Henan University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"ZHOU","middleName":"","lastName":"Mingli","suffix":""},{"id":374285335,"identity":"006be49b-7ad3-47d7-9ded-eeff1df31f16","order_by":2,"name":"Xiaojun LI","email":"","orcid":"","institution":"State Grid Sichuan Electric Power Company Measurement Center","correspondingAuthor":false,"prefix":"","firstName":"Xiaojun","middleName":"","lastName":"LI","suffix":""},{"id":374285336,"identity":"af7385c1-7537-49c7-9442-410bde373491","order_by":3,"name":"ZOU Tongyang","email":"","orcid":"","institution":"State Grid Luzhou Power Supply Company","correspondingAuthor":false,"prefix":"","firstName":"ZOU","middleName":"","lastName":"Tongyang","suffix":""},{"id":374285337,"identity":"ab4530a5-325f-481b-8ef6-93f8638b1641","order_by":4,"name":"MEN Siyu","email":"","orcid":"","institution":"State Grid Luzhou Power Supply Company","correspondingAuthor":false,"prefix":"","firstName":"MEN","middleName":"","lastName":"Siyu","suffix":""},{"id":374285338,"identity":"cbc3237b-c15b-4894-a9fc-b3cb764cf261","order_by":5,"name":"CHEN Lin","email":"","orcid":"","institution":"State Grid Luzhou Power Supply Company","correspondingAuthor":false,"prefix":"","firstName":"CHEN","middleName":"","lastName":"Lin","suffix":""}],"badges":[],"createdAt":"2024-11-02 06:53:16","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5376783/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5376783/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":75826214,"identity":"ecc87d28-4570-4007-aa86-860e0cd335e5","added_by":"auto","created_at":"2025-02-09 10:01:35","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":546379,"visible":true,"origin":"","legend":"","description":"","filename":"BusinessProcessorDesignforElectricityCollection.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5376783/v1_covered_fd19fb6f-32b6-4213-9643-8a3bb5a9e772.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Design and research of business processor of electricity consumption information collection system","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Electricity information collection, business processor, smart IoT, data collection, information data transmission","lastPublishedDoi":"10.21203/rs.3.rs-5376783/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5376783/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIn order to improve the electricity consumption information collection system, this research designed a new type of business processor, which can realize the information collection of the user's electricity collection environment, and realize the collection of different information on the surrounding environment to detect the data information of the surrounding environment. Through the marketing and utilization of smart IoT, it realizes the operation of electricity data collection, parameter issuance, electricity statistics and line loss calculation for residential users, special transformer users, and substation gateways, which improves the intelligence and automation capabilities of electricity information collection. When designing the front-end processor, the power consumption information collection function is improved by establishing a connection with the front-end processor. The research also designed an active queue management (Active Queue Management, AQM) algorithm model, which can improve the power consumption information data transmission and application capabilities. Through experiments, the method of this research has greatly improved the business capability of the electricity consumption information collection system with high accuracy.\u003c/p\u003e","manuscriptTitle":"Design and research of business processor of electricity consumption information collection system","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-11-18 17:14:02","doi":"10.21203/rs.3.rs-5376783/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"ffe06f2c-b40a-4bbf-a78f-2b34fe119aac","owner":[],"postedDate":"November 18th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-02-09T09:53:28+00:00","versionOfRecord":[],"versionCreatedAt":"2024-11-18 17:14:02","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5376783","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5376783","identity":"rs-5376783","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-19T01:45:01.086888+00:00