چرا آکادمی پرتو؟ 💙✨ یادگیری هوشمندسازی ومسیر حرفهای شدن نیاز به تجربه واقعی، آموزش اصولی و همراهی یک تیم متخصص دارد.🛠️📚 در آکادمی پرتو تلاش کردیم شرایطی فراهم کنیم که از اولین قدم تا ورود به بازار کار، کنار شما باشیم.🌱🤝 ✅ ۱۴ سال تجربه عملی در هوشمندسازی ✅ اساتید متخصص در هر حوزه ✅ آموزشهای کاربردی و پروژهمحور ✅ جلسات رفع اشکال حضوری ✅ پشتیبانی و ارائه مدرک جهت اطلاعات بیشتر و ثبت سفارش با شماره 09382497240 در ا…

Channel
آکادمی هوشمندسازان پرتو | آموزش و منابع
@PartoSmartAcademy
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry
23subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003905918396 |
|---|---|
| Type | Channel |
| Username | @PartoSmartAcademy |
| Description | آموزش، منابع، ویدئوها و مقالات |
| Created | Between 1 April 2026 and 20 June 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 September 2026 |
| Last confirmed live | 13 September 2026 |
| Measurements held | 4 |
| On Telegram | t.me/PartoSmartAcademy |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Sept 2026, 02:22 | 23 | no change |
| 12 Sept 2026, 15:01 | 23 | +1 |
| 12 Aug 2026, 20:44 | 22 | -1 |
| 6 Aug 2026, 05:53 | 23 | first reading |
Engagement
20 posts held, back to 20 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 76.5%
- avg views ÷ 23 subscribers
- Avg views / post
- 17.6
- 5 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 5
- of 20 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 12 September 2026 |
|---|---|
| Posts held | 20 (20 June 2026 – 12 September 2026) |
| Views total | 88 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Sept 2026, 02:22 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Photos
- 22
- Videos
- 2
- Links
- 1
Lifetime counters from Telegram’s own channel header, read 13 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 54s
- Average length
- 27s
Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
2 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 50.0% | |
| 👌 | 1 | 50.0% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 4 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 20 June 2026 to 12 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
آکادمی پرتو همونجاییه که میتونی دوره های قفل هوشمند/برق عمومی/سیستم صوتی/iot/knx/نظام مهندسی و نظارت برق رو با اساتید متخصص به صورت آنلاین همراه باجلسه رفع اشکال حضوری ومدرک معتبر و پشتیبانی یادبگیری✨🛠️ مشاوره و ثبت نام:09382497240📞 #پشت_صحنه
در دوره« قفل هوشمند»با تجهیزات و انواع دستگیره های هوشمند ونحوه نصب آن بر روی انواع درب ها آشنامیشوید.🛠️🔐 جهت مشاوره و ثبت نام: 📞09382497240 #قفل_هوشمند #پشت_صحنه
ثبت نام و مشاوره: 09382497240📞 @partosmartacademy
ثبت نام و مشاوره: 09382497240📞 @partosmartacademy
🔧✨ شیار زن مخصوص دربهای چوبی مناسب نصب و برش جای قفل هوشمند 🚪📲 ✅ دارای ۳ سری کاربردی: ۱۸ میلیمتر ۲۰ میلیمتر ۲۴ میلیمتر ✔️ مناسب برش مغزی قفل هوشمند ✔️ همراه لوازم کامل نصب ✔️ کیفیت عالی و کار راحتتر برای نصابها 👌 ⚠️ نیاز به دریل جهت چرخش مته 💰 قیمت: ۸۰ دلار
@PartoSmartAcademy
🎵 دوره جامع سیستمهای صوتی هوشمند آموزش صفر تا صد طراحی، نصب و راهاندازی سیستمهای صوتی هوشمند بهصورت کاملاً عملی و پروژهمحور. ✅ آشنایی با تجهیزات صوتی ✅ طراحی سیستمهای صوتی ✅ نصب و راهاندازی حرفهای ✅ عیبیابی و تنظیم سیستمها ✅ هوشمندسازی و کنترل سیستم صوتی 👨🏫 مدرس: مهندس افری 📞 ثبتنام: ۰۹۳۸۲۴۹۷۲۴۰ @PartoSmartAcademy
⚡ دوره برق عمومی ساختمان آموزش از صفر تا اجرای حرفهای برق ساختمان، بهصورت کاربردی و پروژهمحور. ✅ سیمکشی ساختمان ✅ مدارات روشنایی ✅ پریزها ✅ نکات اجرایی و ایمنی ✅ آموزش عملی ویژه ورود به بازار کار 👨🏫 مدرس: مهندس فراهانی 📞 ثبتنام: ۰۹۳۸۲۴۹۷۲۴۰ @PartoSmartAcademy
برای ورود به بازار کار هوشمندسازی ساختمان، دغدغه اصلی شما چیست؟
- از کجا شروع کنم؟40%
- کدام پروتکل را یاد بگیرم؟40%
- چطور پروژه بگیرم؟40%
- سرمایه اولیه چقدر میخواهد؟20%
- درآمدش چقدر است؟40%
The shares total 180%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
@prtacademy
Photo, posted without a caption
Showing the 12 most recent of 20 posts we hold for @PartoSmartAcademy. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
برای ورود به بازار کار هوشمندسازی ساختمان، دغدغه اصلی شما چیست؟
- از کجا شروع کنم؟40%
- کدام پروتکل را یاد بگیرم؟40%
- چطور پروژه بگیرم؟40%
- سرمایه اولیه چقدر میخواهد؟20%
- درآمدش چقدر است؟40%
The shares total 180%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 20 June 2026 to 12 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 13 September 2026 — this entry's latest reading, not the date you are reading this.
“آکادمی هوشمندسازان پرتو | آموزش و منابع” (@PartoSmartAcademy), 23 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/PartoSmartAcademy.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.