🚚 使用 Carbon Interface API 和 GPT-4o 计算货运的 CO2 排放量
中级
这是一个AI, IT Ops领域的自动化工作流，包含 10 个节点。主要使用 HttpRequest, GmailTrigger, GoogleSheets, Agent, LmChatOpenAi 等节点，结合人工智能技术实现智能自动化。 🚚 使用 Carbon Interface API 和 GPT-4o 计算货运的 CO2 排放量
前置要求
- •可能需要目标 API 的认证凭证
- •Google 账号和 Gmail API 凭证
- •Google Sheets API 凭证
- •OpenAI API Key
工作流预览
可视化展示节点连接关系，支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
"id": "umOZqpde6cAUTL8F",
"meta": {
"instanceId": "",
"templateCredsSetupCompleted": true
},
"name": "🚚 使用 Carbon Interface API 和 GPT-4o 计算货运的 CO2 排放量",
"tags": [],
"nodes": [
{
"id": "dc20a34f-90ff-4f4e-a2f7-7b77abb92f4c",
"name": "Gmail 触发器",
"type": "n8n-nodes-base.gmailTrigger",
"position": [
-320,
415
],
"parameters": {
"simple": false,
"filters": {},
"options": {
"downloadAttachments": false
},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
}
},
"credentials": {
"gmailOAuth2": {
"id": "",
"name": ""
}
},
"notesInFlow": true,
"typeVersion": 1.2
},
{
"id": "984a0707-919c-4c67-b070-6b1caaea2946",
"name": "结构化输出解析器",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
140,
600
],
"parameters": {
"jsonSchemaExample": "{\n \"shipment_number\": \"7894-PCB-654\",\n \"pickup_location\": \"Centre de Distribution Auchan\",\n \"pickup_address\": \"77 Rue Albert Garry, 94450 Limeil-Brévannes\",\n \"expected_pickup_time\": \"2024-09-24T09:00:00\",\n \"temperature_control\": \"Frozen\",\n \"destination_store_name\": \"Auchan Store 124\",\n \"destination_address\": \"43-45 Quai Jules Guesde, 94405 Vitry-sur-Seine\",\n \"expected_delivery_time\": \"2024-09-24T18:00:00\",\n \"driving_distance_km\": 9.61,\n \"estimated_transit_min\": 16.9,\n \"cargo_quantity\": 12,\n \"cargo_weight_tons\": 2.79\n}\n"
},
"typeVersion": 1.2
},
{
"id": "de58b711-25ef-42f7-a5ab-4bc1d20fd1fc",
"name": "AI 智能体解析器",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-100,
415
],
"parameters": {
"text": "=Extract the structured shipment details from the following email:\n\n{{ $json.text }}\n",
"options": {
"systemMessage": "=You are a logistics assistant. When provided with the body of a shipment confirmation email, extract the following structured JSON object:\n\n{\n \"shipment_number\": string,\n \"pickup_location\": string,\n \"pickup_address\": string,\n \"expected_pickup_time\": string (ISO 8601, e.g. \"2024-09-24T09:00:00\"),\n \"temperature_control\": string,\n \"destination_store_name\": string,\n \"destination_address\": string,\n \"expected_delivery_time\": string (ISO 8601, e.g. \"2024-09-24T18:00:00\"),\n \"driving_distance_km\": number,\n \"estimated_transit_min\": number,\n \"cargo_quantity\": number,\n \"cargo_weight_tons\": number\n}\n\n- Extract **only** what’s listed.\n- Normalize dates and times to ISO 8601 format.\n- Remove units from numbers (e.g. 9.61 km → 9.61, 2.79 tons → 2.79).\n- Return only the JSON object. No additional explanation or text."
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.9
},
{
"id": "05ca643f-774c-40a5-843f-76790c42d433",
"name": "OpenAI 聊天模型2",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-100,
620
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "",
"name": ""
}
},
"typeVersion": 1.2
},
{
"id": "fb16f384-e73f-4c3f-be72-24fede7b2760",
"name": "收集 CO2 排放量",
"type": "n8n-nodes-base.httpRequest",
"position": [
680,
420
],
"parameters": {
"url": "https://www.carboninterface.com/api/v1/estimates",
"method": "POST",
"options": {},
"jsonBody": "={\n \"type\": \"shipping\",\n \"weight_value\": {{ $('AI Agent Parser').item.json.output.cargo_weight_tons * 1000000 }},\n \"weight_unit\": \"g\",\n \"distance_value\": {{ $('AI Agent Parser').item.json.output.driving_distance_km }},\n \"distance_unit\": \"km\",\n \"transport_method\": \"truck\"\n}\n",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer YOUR_API_KEY"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"notesInFlow": true,
"typeVersion": 4.2
},
{
"id": "82c2db80-9a3a-421b-ad27-097a713fc3c2",
"name": "加载结果",
"type": "n8n-nodes-base.googleSheets",
"position": [
920,
420
],
"parameters": {
"columns": {
"value": {
"co2_kg": "={{ $json.data.attributes.carbon_kg }}",
"shipment_number": "={{ $('AI Agent Parser').item.json.output.shipment_number }}",
"co2_estimation_time": "={{ $json.data.attributes.estimated_at }}"
},
"schema": [
{
"id": "shipment_number",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "shipment_number",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "pickup_location",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "pickup_location",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "pickup_address",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "pickup_address",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "expected_pickup_time",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "expected_pickup_time",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "temperature_control",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "temperature_control",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "destination_store_name",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "destination_store_name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "destination_address",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "destination_address",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "expected_delivery_time",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "expected_delivery_time",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "driving_distance_km",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "driving_distance_km",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "estimated_transit_min",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "estimated_transit_min",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cargo_quantity",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "cargo_quantity",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cargo_weight_tons",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "cargo_weight_tons",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "co2_kg",
"type": "string",
"display": true,
"required": false,
"displayName": "co2_kg",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "co2_estimation_time",
"type": "string",
"display": true,
"required": false,
"displayName": "co2_estimation_time",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"shipment_number"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "appendOrUpdate",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 877993777,
"cachedResultUrl": "",
"cachedResultName": "CO2 emissions"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1NLNviRoVMEj2z78KiueruB5sd2CnvAb80DS7J2melVs",
"cachedResultUrl": "",
"cachedResultName": "Open Route Service"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "",
"name": ""
}
},
"notesInFlow": true,
"typeVersion": 4.6
},
{
"id": "94cd225d-1bc0-42b5-a466-7fad8b445e94",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-360,
-60
],
"parameters": {
"color": 7,
"width": 180,
"height": 820,
"content": "### 1. 使用 Gmail 触发器的工作流触发器"
},
"typeVersion": 1
},
{
"id": "3e4989f9-2ef4-4c60-98cc-d8b988162e54",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-160,
-60
],
"parameters": {
"color": 7,
"width": 440,
"height": 820,
"content": "### 2. AI 智能体提取行程报告"
},
"typeVersion": 1
},
{
"id": "7dc4dab6-2536-4373-b058-7487fc968c33",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
300,
-60
],
"parameters": {
"color": 7,
"width": 1180,
"height": 820,
"content": "### 3. 记录货运请求信息并使用 Carbon Interface API 获取排放量"
},
"typeVersion": 1
},
{
"id": "a51645cd-d3fe-4c3f-a7af-9bdd31eb9242",
"name": "记录货运信息",
"type": "n8n-nodes-base.googleSheets",
"position": [
420,
420
],
"parameters": {
"columns": {
"value": {
"cargo_quantity": "={{ $json.output.cargo_quantity }}",
"pickup_address": "={{ $json.output.pickup_address }}",
"pickup_location": "={{ $json.output.pickup_location }}",
"shipment_number": "={{ $json.output.shipment_number }}",
"cargo_weight_tons": "={{ $json.output.cargo_weight_tons }}",
"destination_address": "={{ $json.output.destination_address }}",
"driving_distance_km": "={{ $json.output.driving_distance_km }}",
"temperature_control": "={{ $json.output.temperature_control }}",
"expected_pickup_time": "={{ $json.output.expected_pickup_time }}",
"estimated_transit_min": "={{ $json.output.estimated_transit_min }}",
"destination_store_name": "={{ $json.output.destination_store_name }}",
"expected_delivery_time": "={{ $json.output.expected_delivery_time }}"
},
"schema": [
{
"id": "shipment_number",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "shipment_number",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "pickup_location",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "pickup_location",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "pickup_address",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "pickup_address",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "expected_pickup_time",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "expected_pickup_time",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "temperature_control",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "temperature_control",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "destination_store_name",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "destination_store_name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "destination_address",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "destination_address",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "expected_delivery_time",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "expected_delivery_time",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "driving_distance_km",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "driving_distance_km",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "estimated_transit_min",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "estimated_transit_min",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cargo_quantity",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "cargo_quantity",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cargo_weight_tons",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "cargo_weight_tons",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "co2_kg",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "co2_kg",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "co2_estimation_time",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "co2_estimation_time",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"shipment_number"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "appendOrUpdate",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 877993777,
"cachedResultUrl": "",
"cachedResultName": "CO2 emissions"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": "",
"cachedResultName": "Open Route Service"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "",
"name": ""
}
},
"notesInFlow": true,
"typeVersion": 4.6
}
],
"active": false,
"pinData": {
"AI Agent Parser": [
{
"json": {
"output": {
"cargo_quantity": 12,
"pickup_address": "77 Rue Albert Garry, 94450 Limeil-Brévannes",
"pickup_location": "Centre de Distribution Auchan",
"shipment_number": "7894-PCB-654",
"cargo_weight_tons": 3.79,
"destination_address": "43-45 Quai Jules Guesde, 94405 Vitry-sur-Seine",
"driving_distance_km": 9.61,
"temperature_control": "Frozen",
"expected_pickup_time": "2024-09-24T09:00:00",
"estimated_transit_min": 16.9,
"destination_store_name": "Auchan Store 124",
"expected_delivery_time": "2024-09-24T18:00:00"
}
}
}
]
},
"settings": {
"executionOrder": "v1"
},
"versionId": "844e09c0-2706-43da-bd53-6c211b68aafc",
"connections": {
"Load Results": {
"main": [
[]
]
},
"Gmail Trigger": {
"main": [
[
{
"node": "AI Agent Parser",
"type": "main",
"index": 0
}
]
]
},
"AI Agent Parser": {
"main": [
[
{
"node": "Record Shipment Information",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model2": {
"ai_languageModel": [
[
{
"node": "AI Agent Parser",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Collect CO2 Emissions": {
"main": [
[
{
"node": "Load Results",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "AI Agent Parser",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Record Shipment Information": {
"main": [
[
{
"node": "Collect CO2 Emissions",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流？
复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景？
中级 - 人工智能, IT 运维
需要付费吗？
本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。
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工作流信息
难度等级
中级
节点数量10
分类2
节点类型7
作者
Samir Saci
@samirsaciAutomation, AI and Analytics for Supply Chain & Business Optimization Helping businesses streamline operations using n8n, AI agents, and data science to enhance efficiency and sustainability. Linkedin: www.linkedin.com/in/samir-saci
外部链接
在 n8n.io 查看 →
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