
1. Ƙudancin Dangantar da Fadada
Makamantattun tashar zama na shirya (VTs) suna cikin abubuwa kamar inganci a kan gajeruwar adadin, rukuniyar ferroresonance, kudin karkashin kiyaye, da kuma matsaloli a kan samun al'amuran da suka faru. EVTs, wadanda suke amfani da koyarwa ta tsari ko hanyar hikima da signal processing technology, sun ba da kalmomin fahimta don kawo karfi masu muhimmanci a kan makamantattun O&M.
2. Kalmomin Yakin Da Su Zama Da Kiyaye Da Kudin Karkashin Kiyaye
- 2.1 Yanayin Al'adu: Daga "Kiyaye Na Tsari" zuwa "Kiyaye Na Hali"
- Tasiri Ta Aiki: EVTs suna da modullon yin kiyaye na hali da kuma parametoro na hali (kamar parametoro na yanayi, adadin volts/current, lereyuka masu aiki, tasirin magana), wadanda ke iya bayar da "panoramic awareness".
- Yankin Ta Aiki Mai Tasiri: Yi takaitaccen edge gateways da kuma yankin ta aiki mai tasiri (AI-driven) don tabbatar da data na hali a baya, kuma sanin halin dabi'a (kamar kafuwawa na capacitor, yadda kusa da kasa).
- Kiyaye Na Hali: Sanya kiyaye na hali daga abubuwan da aka sanar da su, kuma hada da model na kiyaye na tsari mai kiyaye.
- 2.2 Al'adu Mai Kiyaye: Tabbatar Da Al'amuran Da Ba Faru, Kowa Da Kudin Rukuniyar Muhimmanci
- Abin da Ta Sanar: Yakin ta sanar da al'amuran da ba faru kamar kafuwawa na insulation, lereyukan da ba daidai, ko kasa mai kasa, kuma yi tabbacin waɗannan abubuwa don kawo karfi da su a kan faɗa.
- Haɗa Da Kudin Kiyaye Na Protection: Kudin kiyaye ya ba da aiki da tasirin volts na mafi kyau, kuma haɗa da kudin kiyaye na protection system da take faru saboda VT faults, kuma kawo karfi da grid stability.
- Tabbatar Da Disputes Na Metering: Yana da kudin kiyaye mai kyau (daga ±0.2%) da kudin kiyaye na tsari (<0.1%/year) a cikin duk hanyar lere, kuma haɗa da disputes na metering da take faru saboda kafuwawa.
- 2.3 Al'adu Mai Kiyaye: Digitalization Ya Baka Kudin Kiyaye Na Inventory Na Spare Parts
- Predictive Stocking: Bara tsari na masu aiki da spare parts demand daga abubuwan da aka sanar da su, kuma barin da takaitaccen aiki na procurement planning.
- Intelligent Inventory Management: Gargajiya digital ledgers don samun visibility na baya game da hali na spare parts (in-use, in-stock, remaining life), kuma kawo karfi da slow-moving inventory da kuma capital.
- 2.4 Yanayin Al'adu: Smart O&M Tools Sun Baka Kudin Kiyaye Da Kudin Kiyaye
- Mobile O&M: Amfani da App na mobile don samun work orders, samun hali na baya/na zamani, samun documentation, da kuma guji aiki na kiyaye.
- Full Lifecycle Asset Management: Gargajiya electronic equipment records don jami'i factory data, historical status reports, da kuma maintenance logs, kuma ba da data support mai kyau don ci gaba.
- Enhanced System Reliability: Strategy na kiyaye na hali ya kawo karfi da kudin kiyaye na unplanned outages, kuma baka kudin kiyaye na grid.
3. Abubuwan Da Su Zama Da Kiyaye
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Effektu
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Approach
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Outcome
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Kudin Karkashin Kiyaye
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Hadadin kiyaye na tsari zuwa kiyaye na hali / Kudin kiyaye na fail
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Karkashin kiyaye kudin **≥ 40%**, kudin karkashin mutum, material, da kudin kiyaye
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Kudin Kiyaye Na Safety Risks
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Warnings na al'amuran da ba faru / Kudin kiyaye mai kiyaye
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Elimination of protection misoperations/refusals or metering disputes caused by VT latent faults
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Optimized Spare Parts Mgt
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Predictive stocking / Intelligent inventory management
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Spare parts inventory turnover rate increased 30%+, slow-moving inventory reduced **≥ 50%**
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Improved Efficiency & Rel.
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Mobile O&M / Proactive maintenance strategy
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O&M efficiency improved 50%, system availability rate increased to **≥ 99.9%**
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4. Recommendations for Implementation Path
- Pilot Projects First: Deploy EVTs and associated condition monitoring systems at critical sites or in new projects to validate the solution's effectiveness.
- Platform Integration: Seamlessly integrate EVT condition data into existing production management systems (MIS/PMS) or new smart platforms.
- Process Reengineering: Optimize equipment inspection, testing, maintenance standards/procedures, and work order dispatch processes based on CBM requirements.
- Personnel Enablement: Conduct new skill training programs focused on condition-based maintenance, cultivating multi-skilled O&M personnel with data analysis capabilities.
- Continuous Improvement: Regularly evaluate O&M effectiveness, iteratively refine analysis models and strategies, and continuously enhance lean management levels.