Fungua ramani

Kielezo cha uaminifu wa waendeshaji

Jinsi kila mtandao wa chaji unavyochapisha hali ya moja kwa moja kwa madereva kwa uaminifu. Alama hutumia sehemu ya hali ya moja kwa moja, upatikanaji wa mlisho na adhabu ya hali iliyopitwa na wakati — kamwe si jina la mlisho.

Orodha hii inachapishwa chini ya Creative Commons Attribution 4.0 (CC BY 4.0). Tafadhali taja LiveChargeMap. CC BY 4.0 · Pakua kama CSV

· hukokotolewa upya kila siku

Nafasi Opereta Vituo vya kuchaji Alama Sehemu ya hali ya moja kwa moja Upatikanaji wa mlisho (siku 30)
16,501 Sutter³ KG 1 45 0% 87%
16,502 Sven Bacher 1 45 0% 87%
16,503 Sven Erdmann 1 45 0% 87%
16,504 Sven Fröhlich 1 45 0% 87%
16,505 Sven Gamasin 1 45 0% 87%
16,506 Sven Grützmann 1 45 0% 87%
16,507 Sven Harmstorf 1 45 0% 87%
16,508 Sven Hohendahl 1 45 0% 87%
16,509 Sven Krische 1 45 0% 87%
16,510 Sven Köbrich 1 45 0% 87%
16,511 Sven Lücker 1 45 0% 87%
16,512 Sven Marwitz 1 45 0% 87%
16,513 Sven Meyer 1 45 0% 87%
16,514 Sven Möller 1 45 0% 87%
16,515 Sven Napieraj 1 45 0% 87%
16,516 Sven Patzer 1 45 0% 87%
16,517 Sven Peters 1 45 0% 87%
16,518 Sven Pfeuffer 1 45 0% 87%
16,519 Sven Redenbach 1 45 0% 87%
16,520 Sven Scharfscheer 1 45 0% 87%
16,521 Sven Scherb 1 45 0% 87%
16,522 Sven Schulze 1 45 0% 87%
16,523 Sven Suehring 1 45 0% 87%
16,524 Sven Ullrich 1 45 0% 87%
16,525 Sven Weber 1 45 0% 87%
16,526 Svenja Sauerland 1 45 0% 87%
16,527 Swanhild Flensberg 1 45 0% 87%
16,528 Swen Joedecke 1 45 0% 87%
16,529 Swen Neubauer 1 45 0% 87%
16,530 Sylvia Grimm 1 45 0% 87%
16,531 Sylvia Praters 1 45 0% 87%
16,532 Söhnke Albat 1 45 0% 87%
16,533 Sönke Kück 1 45 0% 87%
16,534 Sören Schneider 1 45 0% 87%
16,535 Sören Tetzner 1 45 0% 87%
16,536 T. S. 1 45 0% 87%
16,537 T.D Dienstleistungen 1 45 0% 87%
16,538 TCB Handels UG (haftungsbeschränkt) 1 45 0% 87%
16,539 TES 1 45 0% 87%
16,540 THOMAS GRABINGER 1 45 0% 87%
16,541 TORSTEN GROßMANN 1 45 0% 87%
16,542 TTP-Zetel 1 45 0% 87%
16,543 Taha Oguz Kayhan 1 45 0% 87%
16,544 Tamer Kaya 1 45 0% 87%
16,545 Tanja Brodhäcker 1 45 0% 87%
16,546 Tanja Hipp 1 45 0% 87%
16,547 Tanja Zierhut 1 45 0% 87%
16,548 Tanja Zschau 1 45 0% 87%
16,549 Tarek Nutzinger 1 45 0% 87%
16,550 Tatiana Drozdova 1 45 0% 87%
16,551 Tatiana Volovik 1 45 0% 87%
16,552 Tatjana Stauber 1 45 0% 87%
16,553 Tauchsportzentrum Niederrhein 1 45 0% 87%
16,554 Taxi & Mietwagen Ostbayern GmbH 1 45 0% 87%
16,555 Taxi König 1 45 0% 87%
16,556 Taxi Stegmaier 1 45 0% 87%
16,557 Tayyip Kahraman 1 45 0% 87%
16,558 Team Tankstelle D. Johannsen e.K. 1 45 0% 87%
16,559 Technikservice Leon Werle 1 45 0% 87%
16,560 TeeDeli GmbH Düsseldorf 1 45 0% 87%
16,561 Tennis-Club-Neuwied eV. 1 45 0% 87%
16,562 Tennisverein Visbek e.V. 1 45 0% 87%
16,563 Tesla-Car-Rent Einzelunternehmen 1 45 0% 87%
16,564 Thaddäus Posielek 1 45 0% 87%
16,565 Thau GmbH 1 45 0% 87%
16,566 Theis EDL GmbH & Co. KG 1 45 0% 87%
16,567 Theodor Miller Kraftfahrzeuge Stefan Miller e.K. 1 45 0% 87%
16,568 Thermatec GmbH 1 45 0% 87%
16,569 Thermo Energie Muus - TEM GbR 1 45 0% 87%
16,570 Thiemo Stephan 1 45 0% 87%
16,571 Thilo Bödeker 1 45 0% 87%
16,572 Thilo Reiss 1 45 0% 87%
16,573 Thimo Flieger 1 45 0% 87%
16,574 Thomas Altenhof 1 45 0% 87%
16,575 Thomas Beck 1 45 0% 87%
16,576 Thomas Betz 1 45 0% 87%
16,577 Thomas Decker 1 45 0% 87%
16,578 Thomas Diedler 1 45 0% 87%
16,579 Thomas Dr. Koch 1 45 0% 87%
16,580 Thomas Dünzl 1 45 0% 87%
16,581 Thomas Ecker 1 45 0% 87%
16,582 Thomas Fabry 1 45 0% 87%
16,583 Thomas Fein 1 45 0% 87%
16,584 Thomas Fenne 1 45 0% 87%
16,585 Thomas Franzel 1 45 0% 87%
16,586 Thomas Froebel 1 45 0% 87%
16,587 Thomas Gabler 1 45 0% 87%
16,588 Thomas Gediga 1 45 0% 87%
16,589 Thomas Gersema 1 45 0% 87%
16,590 Thomas Geschke 1 45 0% 87%
16,591 Thomas Gieß 1 45 0% 87%
16,592 Thomas Grimm 1 45 0% 87%
16,593 Thomas Gronemeyer 1 45 0% 87%
16,594 Thomas Göbel 1 45 0% 87%
16,595 Thomas Hartwig 1 45 0% 87%
16,596 Thomas Hatzmann 1 45 0% 87%
16,597 Thomas Hemmert 1 45 0% 87%
16,598 Thomas Hillen 1 45 0% 87%
16,599 Thomas Hohnecker 1 45 0% 87%
16,600 Thomas Hummer 1 45 0% 87%

Waendeshaji 17,479 wamepewa ukadiriaji; faili ya CSV inayopakuliwa inaorodhesha wote.

Jinsi alama inavyokokotolewa

Kwa kila mwendeshaji mwenye mfumo wa data wa moja kwa moja unaoweza kutumika, alama ya kila siku ni

clamp(0, 100, round(100 × (0.50 × live_share + 0.40 × feed_uptime + 0.10 × (1 − stale_share))))

  • Sehemu ya hali ya moja kwa moja — sehemu ya vituo vya kuchaji vyenye hali mpya (vinapatikana, vinatumika au havifanyi kazi, iliyoripotiwa ndani ya muda wa uchangamfu), kama ilivyo kwenye ukurasa wa takwimu. Ripoti zilizopitwa na wakati hazihesabiwi.
  • Upatikanaji wa mlisho — katika siku 30 zilizopita, sehemu ya ulandanishi ulioratibiwa uliokamilika na kufanikiwa kwa milisho inayobeba vituo vya mwendeshaji huyu. Hatutaji jina la mlisho kamwe.
  • Sehemu isiyopitwa na wakati — moja ukiondoa sehemu ya vituo vya kuchaji ambavyo hali yake ni ya zamani kuliko muda wa uchangamfu.
  • Kila mwendeshaji mwenye mfumo wa data wa moja kwa moja hupewa daraja, hata awe mdogo kiasi gani: takwimu zinahesabu vituo vyake vyote vya kuchaji, si sampuli tu. Waendeshaji wenye data tuli ya rejista pekee na wasio na mfumo wa data wa moja kwa moja huonyeshwa kuwa hawajapewa daraja kwenye ukurasa wao wa ubora wa data, na hawajumuishwi katika orodha hii ya viwango.

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