diff --git a/import vtk.py b/import vtk.py
new file mode 100644
index 0000000..12f2d64
--- /dev/null
+++ b/import vtk.py	
@@ -0,0 +1,157 @@
+import json
+import vtk
+import numpy as np
+import geojson
+from pygltflib import GLTF2, Buffer, Accessor, Mesh, Primitive, BufferView
+# # Create a grid
+# grid_size = 50
+# x = np.linspace(0, 10, grid_size)
+# y = np.linspace(0, 10, grid_size)
+# z = np.linspace(0, 10, grid_size)
+# x, y, z = np.meshgrid(x, y, z)
+
+# # Create scalar values based on a Gaussian distribution
+# values = np.exp(-((x - 5)**2 + (y - 5)**2 + (z - 5)**2) / 10)
+
+# # Convert grid points and values to VTK format
+# points = vtk.vtkPoints()
+# scalars = vtk.vtkDoubleArray()
+# scalars.SetName("HeatValues")
+
+# for i in range(grid_size):
+#     for j in range(grid_size):
+#         for k in range(grid_size):
+#             points.InsertNextPoint(x[i, j, k], y[i, j, k], z[i, j, k])
+#             scalars.InsertNextValue(values[i, j, k])
+
+# # Create a structured grid
+# structured_grid = vtk.vtkStructuredGrid()
+# structured_grid.SetDimensions(grid_size, grid_size, grid_size)
+# structured_grid.SetPoints(points)
+# structured_grid.GetPointData().SetScalars(scalars)
+
+# # Write the grid to a VTK file
+# vtk_writer = vtk.vtkStructuredGridWriter()
+# vtk_writer.SetFileName("heatmap.vtk")
+# vtk_writer.SetInputData(structured_grid)
+# vtk_writer.Write()
+
+
+
+def load_vtk(vtk_file):
+    # 使用 vtkStructuredGridReader 来读取 structured_grid 数据类型
+    reader = vtk.vtkStructuredGridReader()
+    reader.SetFileName(vtk_file)
+    reader.Update()
+
+    # 获取数据集
+    dataset = reader.GetOutput()
+
+    # 提取点数据
+    points = dataset.GetPoints()
+    point_data = points.GetData()
+
+    # 由于结构化网格的数据是按规则网格组织的，我们直接获取网格尺寸
+    dimensions = dataset.GetDimensions()
+
+    return point_data, dimensions  # 返回维度而不是 cells
+
+
+def vtk_to_geojson(point_data, dimensions):
+    # 转换 VTK 点数据
+    points = []
+    for i in range(point_data.GetNumberOfTuples()):
+        points.append(list(point_data.GetTuple3(i)))
+
+    # 这里我们不直接使用 cells，而是基于维度构建网格的多边形
+    features = []
+    x_dim, y_dim, z_dim = dimensions
+    for x in range(x_dim - 1):
+        for y in range(y_dim - 1):
+            for z in range(z_dim - 1):
+                # 获取每个方格的四个角
+                pts = [
+                    points[x + y * x_dim + z * x_dim * y_dim],
+                    points[(x + 1) + y * x_dim + z * x_dim * y_dim],
+                    points[(x + 1) + (y + 1) * x_dim + z * x_dim * y_dim],
+                    points[x + (y + 1) * x_dim + z * x_dim * y_dim]
+                ]
+                # 创建多边形面
+                features.append({
+                    "type": "Feature",
+                    "geometry": {
+                        "type": "Polygon",
+                        "coordinates": [pts]
+                    },
+                    "properties": {}
+                })
+
+    # 构建 GeoJSON 数据
+    geojson_data = geojson.FeatureCollection(features)
+    return geojson_data
+
+
+def vtk_to_gltf(point_data, dimensions):
+    # 提取点数据
+    vertices = []
+    for i in range(point_data.GetNumberOfTuples()):
+        vertices.append(list(point_data.GetTuple3(i)))
+
+    # 创建 GLTF 数据结构
+    gltf = GLTF2()
+
+    # 将点数据转换为 numpy 数组
+    vertices = np.array(vertices, dtype=np.float32).flatten()
+
+    # 创建缓冲区
+    buffer = Buffer(uri="data.bin", byteLength=len(vertices) * 4)
+    gltf.buffers.append(buffer)
+
+    # 创建缓冲区视图
+    bufferViewVertices = BufferView(
+        buffer=0,
+        byteOffset=0,
+        byteLength=len(vertices) * 4,
+        target=34962
+    )
+    gltf.bufferViews.append(bufferViewVertices)
+
+    # 创建访问器
+    accessorVertices = Accessor(
+        bufferView=0,
+        byteOffset=0,
+        componentType=5126,
+        count=len(vertices) // 3,
+        type="VEC3"
+    )
+    gltf.accessors.append(accessorVertices)
+
+    # 返回 GLTF 数据
+    return gltf
+
+
+def save_geojson(geojson_data, filename):
+    with open(filename, 'w') as f:
+        json.dump(geojson_data, f)
+
+
+def save_gltf(gltf, filename):
+    gltf.save(filename)
+
+
+def main():
+    # 读取 VTK 文件
+    vtk_file = 'heatmap.vtk'
+    point_data, dimensions = load_vtk(vtk_file)
+
+    # 转换为 GeoJSON
+    geojson_data = vtk_to_geojson(point_data, dimensions)
+    save_geojson(geojson_data, 'output.geojson')
+
+    # 转换为 GLTF
+    gltf = vtk_to_gltf(point_data, dimensions)
+    save_gltf(gltf, 'output.gltf')
+
+
+if __name__ == '__main__':
+    main()