aps-iot-extensions 的 Autodesk 平台服务模型翻译问题

问题描述 投票：0回答：1

我一直在使用下面的一个 Revit 模型测试 APS IoT 扩展代码。我已使用 VScode 和此网站 (https://oss-manager.autodesk.io) 上的 APS 插件来上传和翻译我的模型。使用相同的 Revit 文件，我得到了下面 2 种具有不同 URN 的不同模型，并且做到了。

奇怪的是，我设法让热图和传感器在第二个模型（第二张图片）中工作，但在第一个模型（第一张图片）中不起作用。 最近，我不小心从我的存储桶中删除了第二个模型（工作模型）。现在，每当我使用上述存储桶工具上传模型时，我总是会得到第一个不显示任何热图的模型。

我想知道是否有任何方法可以翻译我的模型，以便它给我返回第二个模型。或者我怎样才能让第一个模型与热图一起使用？我猜这可能与模型导数或模型翻译部分有关。

谢谢你。

https://github.com/autodesk-platform-services/aps-iot-extensions-demo

第一个模型 第二种型号

autodesk-forge autodesk-viewer autodesk autodesk-model-derivative
1个回答
0
投票

感谢您的测试模型。我这边一切看起来都很好。请检查我的电子邮件以获取快照。

这是我在 

services/iot.mocked.js
中生成传感器数据的代码：

async function findRoomRootNode(name, model) {
    return new Promise(function (resolve, reject) {
      model.getObjectTree(function (tree) {
        let dbId = null;
        tree.enumNodeChildren(tree.getRootId(), function (dbid) {
          let n = tree.getNodeName(dbid, true);
          if (n && n.indexOf(name) >= 0) {
              dbId = dbid;
          }
        });

        resolve(dbId);
      }, reject);
    });
}

async function findLeafNodes(rootId, model) {
    return new Promise(function (resolve, reject) {
      model.getObjectTree(function (tree) {
        let leaves = [];
        tree.enumNodeChildren(rootId, function (dbid) {
          if (tree.getChildCount(dbid) === 0) {
            leaves.push(dbid);
          }
        }, true /* recursively enumerate children's children as well */);
        resolve(leaves);
      }, reject);
    });
}

function getBoundingBox(dbId, model) {
    const it = model.getInstanceTree();
    const fragList = model.getFragmentList();
    let bounds = new THREE.Box3();

    it.enumNodeFragments(dbId, (fragId) => {
        let box = new THREE.Box3();
        fragList.getWorldBounds(fragId, box);
        bounds.union(box);
    }, true);

    return bounds;
}

async function getRoomsInfo(roomIds, model) {
    return new Promise((resolve, reject) => {
        model.getBulkProperties2(
            roomIds,
            { propFilter: ['name', 'Name', 'Level', 'level' ], ignoreHidden: true },
            (result) => {
                let sensors = {};
                for (let i = 0; i < result.length; i++) {
                    const data = result[i];
                    const dbId = data.dbId;
                    const levelProp = data.properties.find(p => p.attributeName.toLowerCase() === 'level');
                    const bounds = getBoundingBox(dbId, model);
                    const position = bounds.center();

                    sensors[`sensor-${i+1}`] = {
                        name: data.name,
                        description: '',
                        groupName: levelProp.displayValue,
                        location: {
                            x: position.x,
                            y: position.y,
                            z: position.z
                        },
                        objectId: dbId
                    }
                }

                resolve(sensors);
            },
            (error) => reject(error)
        );
    });
}

var roomRootId = await findRoomRootNode('Rooms', viewer)
var roomIds = await findLeafNodes(roomRootId, viewer.model);

await getRoomsInfo(roomIds, viewer.model);

之后，您必须调整

getSamples
中的
services/iot.mocked.js
功能中的传感器数据，使数字与传感器数量一致，如下

async function getSamples(timerange, resolution = 32) {
    return {
        count: resolution,
        timestamps: generateTimestamps(timerange.start, timerange.end, resolution),
        data: {
            'sensor-1': {
                'temp': generateRandomValues(18.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-2': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-3': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-4': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-5': {
                'temp': generateRandomValues(18.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-6': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-7': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-8': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-9': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-10': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-11': {
                'temp': generateRandomValues(18.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-12': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-13': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-14': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-15': {
                'temp': generateRandomValues(18.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-16': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-17': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-18': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-19': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-20': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-21': {
                'temp': generateRandomValues(18.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-22': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-23': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-24': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-25': {
                'temp': generateRandomValues(18.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-26': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-27': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-28': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-29': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-30': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-31': {
                'temp': generateRandomValues(18.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-32': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-33': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-34': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-35': {
                'temp': generateRandomValues(18.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-36': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-37': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-38': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-39': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-40': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-41': {
                'temp': generateRandomValues(18.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-42': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-43': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-44': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-45': {
                'temp': generateRandomValues(18.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-46': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-47': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-48': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-49': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-50': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-51': {
                'temp': generateRandomValues(18.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-52': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-53': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-54': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-55': {
                'temp': generateRandomValues(18.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-56': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-57': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-58': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-59': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-60': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-61': {
                'temp': generateRandomValues(18.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-62': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-63': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-64': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-65': {
                'temp': generateRandomValues(18.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-66': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-67': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-68': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-69': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-70': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-71': {
                'temp': generateRandomValues(18.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-72': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-73': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-74': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-75': {
                'temp': generateRandomValues(18.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-76': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-77': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-78': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-79': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            },
            'sensor-80': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(600.0, 640.0, resolution, 5.0)
            },
            'sensor-81': {
                'temp': generateRandomValues(18.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-82': {
                'temp': generateRandomValues(20.0, 24.0, resolution, 1.0),
                'co2': generateRandomValues(540.0, 600.0, resolution, 5.0)
            },
            'sensor-83': {
                'temp': generateRandomValues(24.0, 28.0, resolution, 1.0),
                'co2': generateRandomValues(500.0, 620.0, resolution, 5.0)
            }
        }
    };
}

关于第二个模型，如果您使用与第一个模型相同的

APS_MODEL_VIEW
，那么您的观点将是不正确的。主视图是在模型衍生翻译过程中生成的，因此它们的 guid 或可查看 id 将不同。您不能重复使用相同的值并将其设置为 
APS_MODEL_VIEW
中的 
public/config.js
。重新翻译模型后，您必须再次在模型清单中找到主视图的正确 guid。

为了防止这个问题，我们可以给

APS_MODEL_VIEW
一个空值，然后修改
public/viewer.js

// public/config.js

export const APS_MODEL_URN = 'dXJ....Z0';
export const APS_MODEL_VIEW = '';
export const APS_MODEL_DEFAULT_FLOOR_INDEX = 1;
export const DEFAULT_TIMERANGE_START = new Date('2023-12-30');
export const DEFAULT_TIMERANGE_END = new Date('2024-01-15');

// Replace the function `loadModel` in public/viewer.js with the below one

export function loadModel(viewer, urn, guid) {
    return new Promise(function (resolve, reject) {
        function onDocumentLoadSuccess(doc) {
            const viewable = guid ? doc.getRoot().findByGuid(guid) : doc.getRoot().getDefaultGeometry(true);
            resolve(viewer.loadDocumentNode(doc, viewable));
        }
        function onDocumentLoadFailure(code, message, errors) {
            reject({ code, message, errors });
        }
        Autodesk.Viewing.Document.load('urn:' + urn, onDocumentLoadSuccess, onDocumentLoadFailure);
    });
}
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