Susie Jones
Новини и актуализации • 3 мин. четене

ИИ и неговото въздействие върху устойчивостта в сектора на превозите

Създаден: 29.08.2024

Актуализирано: 29.08.2024

Изкуственият интелект (ИИ) е термин, който през последните години стана част от съвременния речник. Поради липса на разбиране и погрешни схващания той често се възприема негативно. Въпреки резервите, ИИ може да окаже положително въздействие върху устойчивостта, работните процеси и икономиката. При положение че над 25% от емисиите на CO2 се произвеждат от транспортната индустрия, може ли ИИ да внесе положителна промяна за едно устойчиво бъдеще?

Какво е ИИ?

Според Oxford Languages ИИ е:

"теорията и разработването на компютърни системи, способни да изпълняват задачи, които обикновено изискват човешки интелект, като визуално възприятие, разпознаване на реч, вземане на решения и превод между езици. "

Устойчивост в транспортната индустрия

Индустрията се намира на критичен кръстопът, с нарастващи изисквания и променящи се видове доставки - онлайн пазаруването е едно от най-бързо растящите изисквания. Въпреки че увеличеното търсене може да бъде от полза за транспортната индустрия, тя е изправена пред екологична дилема, която има жизненоважно въздействие върху планетата.

Индустрията оказва влияние върху околната среда по следните начини:

  • Шумово замърсяване: Големият брой камиони може да допринесе за шумово замърсяване. Шумовото замърсяване нарушава спокойствието на градските и селските райони и често се отразява на благосъстоянието на жителите и дивата природа. Излагането на високи нива на шум може да доведе до стрес и сърдечносъдови проблеми.

  • Въглеродни емисии: Традиционните горива в камионите отделят CO2 в атмосферата. От общите емисии на транспорта в световен мащаб 29% се дължат на автомобилния транспорт.

  • Качество на въздуха: Тежкотоварните автомобили отделят азотни оксиди и прахови частици - и двете влошават качеството на въздуха, вредят на околната среда и водят до дихателни проблеми при хората.

Как AI може да подобри устойчивостта

  • Планиране на маршрути: Неподходящото планиране на маршрута може да струва на автопарка пари, време и ресурси. ИИ може точно да предвиди нуждите и изискванията - препоръчвайки най-устойчивия маршрут. Неговите алгоритми могат да анализират моделите на трафика, метеорологичните условия и горивната ефективност, за да оптимизират маршрутите за доставка. Този процес спестява пари и допринася за намаляване на въглеродните емисии.

  • Предвиждане на потребителското търсене: Често продуктите се доставят на потребителя, но не се заявяват, което води до загуба на ресурси и значително въздействие върху околната среда. Машинното обучение с изкуствен интелект и прогнозният анализ ще помогнат на производителите да предвидят търсенето, да рационализират доставките и да оптимизират производствените процеси. Чрез смислени прозрения за доставката и неполучаването на стоки ИИ може да информира логистичните компании какви стоки да изпращат - справяйки се с екологичните проблеми от самото начало.

  • Наблюдение на водача: Алгоритми с изкуствен интелект анализират моделите на шофьора, като например превишаване на скоростта, рязко спиране и работа на празен ход. Въз основа на това ИИ може да предостави напътствия и стимули за по-икономично шофиране.

  • Намаляване на консумацията на енергия: ИИ може да помогне на компаниите за автопаркове при управлението на енергията във веригите за доставки. Той може да идентифицира неефективни области и да предостави стратегии за оптимизация, включително анализ на данни от интелигентни измервателни уреди, сензори и други устройства, за да се определи кое използва твърде много енергия.

Ще превземе ли ИИ логистичната индустрия?

Въпреки че използването на ИИ ще играе роля в логистичната индустрия, малко вероятно е той да я превземе напълно. Алгоритмите на ИИ не могат да отчитат спонтанни събития и изключения - затова човешкото участие все още ще играе решаваща роля. Възможностите за кариера в транспортната индустрия все още ще съществуват, но ще изглеждат значително по-различно.

Как още индустрията може да намали въглеродните си емисии?

Индустрията може да приеме следното:

  • Превозни средства с ниски емисии: Електрическите и хибридните тежкотоварни превозни средства могат да намалят въглеродните емисии. И двата вида са подходящи за превоз на къси и дълги разстояния.

  • Алтернативни горива: С наближаването на нулевата нетна стойност до 2050 г. енергийното законодателство се ориентира към по-чисти алтернативи. Хидроочистеното растително масло (HVO) може да намали емисиите незабавно и значително. Certas Energy HVO стои зад прехода към по-чиста алтернатива - помагайки на предприятията да постигнат целите си за устойчивост и да предприемат значими стъпки към своето нетно нулево бъдеще. HVO осигурява следните предимства:

  • Незабавно намаляване на емисиите на парникови газове с до 90% в сравнение със стандартното дизелово гориво през целия жизнен цикъл на продукта.

  • По-малко азотни оксиди в сравнение със стандартния дизел

  • По-малко твърди частици от стандартния дизел

  • Лесно биоразградими

  • Дълъг срок на годност - до 10 години

  • Практически без FAME

  • Включване на алтернативен дизел - не са необходими промени в двигателя или инфраструктурата.

  • Ефективност на превозното средство: Ефективните двигатели, намаляването на времето за престой и редовната поддръжка могат да подобрят ефективността.

  • Интелигентно опаковане: Производителите могат да използват биоразградими и рециклирани материали при транспортирането на стоки - това намалява отпадъците и разходите. Освен това по-леките опаковки ще подобрят ефективността, което ще доведе до по-ниски въглеродни емисии.

  • Възобновяема енергия: Използването на възобновяеми енергийни източници, като например слънчева или вятърна енергия, може значително да намали въглеродните емисии.

  • Намаляване на пробега по обиколни маршрути: SNAP Account позволява на мениджърите на автопаркове да намалят пробега по обиколни маршрути - с над 600 сервизни партньори, достъпни за клиентите на SNAP Account, по маршрута ви със сигурност ще има спирка.

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