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Составление приближенного бюллетеня метеосредний в иртуальные поправки
ПРИЛОЖЕНИЯ Приложение 1
1. Справочные формулы Формула тысячных (для перевода метров в деления угломера и обратно) Д х У =В х 1000 – 5%
У =В / 0,001Д
В= У х 0,001Д
| Д – дальность до объекта (м)
У – угол под которым виден предмет (д.у.)
В – линейный размер предмета (м)
| Коэффициент удаления (для преобразования углов измеренных у КНП в углы для ОП) КУ = ДК / ДЦТ
рассчитывается с точностью до 0,1
| ДК – дальность командира (дальность между НП и целью)
ДЦТ – дальность цели топографическая (дальность между ОП и целью)
| Шаг угломера (для удержания разрывов на линии наблюдения, линии КНП - цель) ШУ = ПС/0,01ДЦТ
рассчитывается с точностью до 0-01
| ПС –горизонтальный угол КЦО с вершиной в точке цели
| Высота цели
hц = hнп + ( Мр х 0,001Дк)
| Мр – угол места цели с КНП в дел. угл., измеренный с КНП
| Интервал веера
Jв = Фц (м) : 0,001ДЦт : nОР
| nОР – количество орудий в батарее
| Интервал веера
Jв = Фц (дел. угл.) х Ку / nОР
| Ку - коэффициент удаления
nОР – количество орудий в батарее
| Расход снарядов на орудие – установку
Nор/уст = Nобщ : (nор х Куп х Куу)
| Nобщ – расход снарядов на цель;
Куп – количество уст. прицела (13);
Куу – количество установок угломера (12)
| Темп методического огня
Т=(Тобщ–1мин)х60сек/(Nобщ– Nб.о.)
| Тобщ – общее время огневого налёта (воздействия на цель);
Nобщ – расход боеприпасов на цель;
Nб.о. – количество боеприпасов в серии беглого огня (24*nор)
| РЕШЕНИЕ НА ВЫПОЛНЕНИЕ ОГНЕВОЙ ЗАДАЧИ |
Решил огнем 2-ой минометной батареи подавить живую силы и огневые средства противника в районе ориентира 45, цель 101–я, установки для стрельбы на поражение определить пристрелкой с помощью дальномера.
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Приложение 2
2. Поражение неподвижных наблюдаемых наземных целей Отдельная цель 1. Задача стрельбы
2. Количество УП
3. Количество УУ
4. Веер
5. Снаряд, взрыватель
6. Порядок ведения огня
| уничтожение, подавление, разрушение
1 УП
1 УУ
сосредоточенный
в зависимости от характера цели
сериями беглого огня по 2-4 снаряда на орудие; методический огонь
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Групповая цель
| Глубина цели до 100 м
| Глубина цели 100 м и более
| 1. Задача стрельбы
2. Количество УП
3. Количество УУ 4. Скачок прицела
5. Веер
6. Макс. размеры цели
7. Порядок ведения огня
| У, П, разруш.
1 УП
1 УУ -
по ширине Ц
Фронт 300 м
Сериями бегл огня по 2-4 сн. на орудие
| У, П, разрушение
3 УП
Укр: 1УУ – Iв 25м Откр: 1УУ – Iв 50м 2УУ – Iв 25м 2УУ – Iв >50м
1/3 Гц
по ширине Ц
на 200 м
Сериями бегл огня по 2-4 сн. на орудие до выполнения поставленной задачи
| Скачок прицела: если обстреливается не вся Гц, или большая часть разрывов выходит одновременно за дальнюю (ближнюю) границу Ц – скачок изменяют в 1,5 - 2 раза.
Если в ходе пристрелки отдельная или групповая Ц стала ненаблюдаемой (пристрелка не закончена), то ее поражают, назначая способ обстрела и расход снарядов, предусмотренный для поражения ненаблюдаемой цели аналогичного характера.
Если цель стала ненаблюдаемой после пристрелки или в ходе стрельбы на поражение, то способ обстрела не изменяют, а расход снарядов назначают как по ненаблюдаемой цели, уменьшив его на 1/4 нормы без учета ранее израсходованных снарядов.
Корректирование огня в ходе стрельбы
на поражение
Определяют и вводят корректуры дальности, направления, веера, высоты разрывов и скачка прицела (величины шкалы). Корректирование огня проводят по результатам глазомерной оценки отклонения ЦГР от цели (ЦГЦ), по НЗР, а при благоприятных условиях – и с помощью дальномера.
Корректуры дальности и направления определяют с помощью ПРК, ПУО или МК, а при ПС < 5-00 и расчетом с использованием Ку и Шу.
При корректировании огня по результатам глазомерной оценки отклонения ЦГР от цели (ЦГЦ) корректуры дальности и направления определяют так же, как при пристрелке с помощью дальномера. При корректировании огня с помощью дальномера корректура определяется так же, как и при пристрелке цели, а при ПС < 5-00.
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)
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)
При корректировании огня по НЗР отклонения ЦГР по дальности от цели (ЦГЦ) по линии наблюдения принимают равными:
Наблюдения
| Корректуры Д
| Гц 100м
| Гц 100м
| Все «+» или «-»
| 50 м
| Гц
| Преобладание «+» или «-» относительно Ц (дальней или ближней границы цели)
| 25 м
| 2/3 Гц
| Равенство «+» и «-» относительно Ц (дальней или ближней границы Ц)
| 0
| 1/2 Гц
| Jв корректируется при ПС 5-00 когда 1/3 и более разрывов выходит более 25 м при поражении УЖС и 50 м при поражении ОЖС или когда обстреливается менее 2/3 Фц
|
Приложение 3
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