{"id":283,"date":"2022-09-23T11:53:54","date_gmt":"2022-09-23T09:53:54","guid":{"rendered":"https:\/\/iristechnologie.com\/?page_id=283"},"modified":"2024-02-15T09:37:55","modified_gmt":"2024-02-15T08:37:55","slug":"deposito-de-residuos","status":"publish","type":"page","link":"https:\/\/iristechnologie.com\/es\/dechetterie\/","title":{"rendered":"Desecho"},"content":{"rendered":"

D\u00e9chetterie<\/h1>\n

D\u00e9tection incendie par cam\u00e9ra – D\u00e9chetteries<\/p>\n\n

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D\u00e9tection incendie par cam\u00e9ra – D\u00e9chetteries<\/h2>

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D\u00e9tection incendie par cam\u00e9ra – D\u00e9chetterie. Les environnements poussi\u00e9reux comme les centres de d\u00e9chets peuvent obturer les d\u00e9tecteurs classiques, syst\u00e8me d\u2019aspiration (ASD) Ion etc. La d\u00e9tection par cam\u00e9ra 3 IR permet une lev\u00e9e de doute en temps r\u00e9el, une d\u00e9tection pr\u00e9coce et un faible co\u00fbt d\u2019entretien.<\/h3>

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Ambiente dif\u00edcil<\/h4> \n\n

Les risques d\u2019incendie sont le plus souvent situ\u00e9s dans les zones de basculement, o\u00f9 les d\u00e9chets sont initialement d\u00e9charg\u00e9s des camions et d\u00e9plac\u00e9s par des \u00e9quipements lourds. En effet, L\u2019accumulation de probl\u00e9matiques en mati\u00e8re de d\u00e9tection incendies (plafonds hauts, environnements poussi\u00e9reux, \u00e9quipements lourds avec des moteurs et des gaz d\u2019\u00e9chappement chauds) et l\u2019accumulation de mat\u00e9riaux inflammables (batteries lithium-ion, conteneurs pressuris\u00e9s) dans les zones de basculement rendent la d\u00e9tection traditionnelle des incendies inefficace. <\/p>\n\n

\u00bfPor qu\u00e9 la detecci\u00f3n de llama y humo por v\u00eddeo?<\/h4> \n\n

La detecci\u00f3n de llama y humo por v\u00eddeo tiene varios beneficios en comparaci\u00f3n con la detecci\u00f3n tradicional:

\nTout d’abord, Une d\u00e9tection pr\u00e9coce : Les cam\u00e9ras voient le feu \u00e0 la source et parviennent donc \u00e0 le d\u00e9tecter plus t\u00f4t que les d\u00e9tecteurs classiques. \nCeux-ci n\u00e9cessitent que la fum\u00e9e atteigne leurs capteurs.
Information imm\u00e9diate de la situation : C\u2019est une cam\u00e9ra r\u00e9seau, les images peuvent \u00eatre visualis\u00e9es en temps r\u00e9el dans un centre de t\u00e9l\u00e9surveillance. La lev\u00e9e de doute est imm\u00e9diate et fiable. <\/p>

\n

Moins de mat\u00e9riel \u00e0 installer : Chaque cam\u00e9ra SigniFire couvre un grand volume ce qui se traduit par une \u00e9conomie de capteur. La finalit\u00e9 est une r\u00e9duction des co\u00fbts d\u2019installation et de maintenance. <\/p>
\n\n

\u00bfC\u00f3mo funciona SigniFire?<\/h4> \n

El software de an\u00e1lisis de v\u00eddeo utiliza inteligencia artificial:

Analyse des images de 640×480 pixels \u00e0 un taux de 15 images\/seconde.
4.5 millions de points de donn\u00e9es analys\u00e9es par le processeur Texas Instruments DSP de la cam\u00e9ra. En efft, Le logiciel utilise des sch\u00e9mas temporels et des filtres DSP et compare les r\u00e9sultats \u00e0 un r\u00e9seau neuronal se basant sur 15 000 simulations d\u2019incendies. De plus, Les alarmes sont achemin\u00e9es via des contacts secs et\/ ou par Ethernet. <\/p>
\n\n

\u00bfQu\u00e9 sistemas de protecci\u00f3n contra incendios se han utilizado tradicionalmente en las instalaciones de residuos y reciclaje?<\/h4>
\n\n

Il faut que savoir que les Sprinklers sont d\u00e9clench\u00e9s par une hausse de la temp\u00e9rature. En efft, Ils sont con\u00e7us pour sauver les fondations du b\u00e2timent et non son contenu.


\nDe plus, les d\u00e9tecteurs de chaleur lin\u00e9aire peuvent \u00eatre utilis\u00e9s en amont des Sprinklers. Ceux-ci se d\u00e9clenchent \u00e0 une hausse de temp\u00e9rature et non \u00e0 un stade pr\u00e9coce.
D\u00e9tecteur BEAM : Les faisceaux sont plac\u00e9s au niveau du plafond et peuvent provoquer des faux positifs. Ceux-ci sont provoqu\u00e9s par une obstruction du faisceau (objets, poussi\u00e8re \u00e9paisse…). Enfin les Syst\u00e8me d\u2019aspiration (ASD) : Les syst\u00e8mes ASD ont un gros d\u00e9savantage en milieu poussi\u00e9reux. Les capteurs sont obstru\u00e9s ce qui fausse la d\u00e9tection et multiplie les op\u00e9rations de maintenance. <\/p>
\n\n

Aplicaciones<\/h4> \n

La tecnolog\u00eda SigniFire est\u00e1 adaptada para los siguientes entornos:

\nPremi\u00e8rment, Zones de basculement.
\nDeuxi\u00e8mement, Zones contenant des piles, batteries…
\nTrois\u00e8mement, Zones contenant des DEEE (D\u00e9chets d\u2019\u00c9quipement \u00c9lectrique et \u00c9lectronique.).
\nZones contenant des DDS (D\u00e9chets Diffus Sp\u00e9cifiques : produits pyrotechniques, produits \u00e0 base d\u2019hydrocarbures…)
\nEnfin, les Zones semi-ext\u00e9rieures ou \u00e0 haut plafond. <\/p>

\n\n

BATTERIES LITHIUM-IONRISQUES D\u2019INCENDIE<\/h4> \n

Si los datos muestran una tendencia al alza de los incendios en las instalaciones de tratamiento de residuos y reciclaje, una de las razones es la proliferaci\u00f3n continua de las bater\u00edas de litio-i\u00f3n. Este problema ser\u00e1 cada vez m\u00e1s presente a medida que evolucionen las tecnolog\u00edas futuras. Por ejemplo, una masa puede aplastar una bater\u00eda de litio-i\u00f3n o perforarla. Pero tambi\u00e9n puede explotar debido a una sobrecalentamiento ambiental, lo que puede generar una chispa y encender los residuos situados cerca.<\/p>\n

Les batteries au lithium-ion contenues dans les appareils sont de plus en plus pr\u00e9sentes dans la vie quotidienne.Notamment dans : <\/p>\n

\u2022 Pacemakers.\nAppareils photo num\u00e9riques.\nSmartphones \/ Ordinateurs portables.\nThermom\u00e8tres.\nPointeurs laser.\nCalculatrices.\nProth\u00e8ses auditives.\nV\u00e9hicules.<\/p>
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COBERTURA DEL DETECTOR DE FLAMMA IR3HD Y LOCALIZACI\u00d3N DE LOS DETECTORES<\/h4>

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DETECTORS DE FLAMAS IR3 CON CAMERA HD INCLUIDA Y GRABACI\u00d3N<\/h4>

\n\"detection-incendie-camera-dechetterie\"


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DETECCI\u00d3N DE INCENDIO EN UN TRASLADERO<\/h3>



PRESENTACI\u00d3N DE LA CAMARA IR<\/h3>

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<\/p>\n\nContactez-nous<\/a>\nsite r\u00e9alis\u00e9 par agence totem<\/a>","protected":false},"excerpt":{"rendered":"

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