简介
新冠医院安排
简单思路
用模拟退火生成序列，用动态规划生成发车次序。
code
main.py
#coding=utf-8
from solution import solution
from draw import draw
import time
import winsound
def main1():
solve = solution()
# 因为 xlsx2 文件可以用来解决问题1,2,3所以直接都读取了
solve.readPointFromFile('D:/code/数学建模/模型2/各点之间的距离.xlsx')
start = time.clock()
solve.setProposal(0.5, 0.5)
xmin, drx, dry = solve.solutionForSubjectOne()
drawObj = draw()
drawObj.drawY(drx, dry)
elapsed = (time.clock() - start)
print('route', xmin)
print("Time used:", elapsed)
def submain1():
result = [10, 10, 10, 10, 10, 8, 8, 8, 8, 8, 11, 11, 11, 11, 11, 6, 6, 6, 6, 8, 10, 10, 10, 10, 4, 4, 4, 4, 4, 6, 6, 6, 6, 10, 10, 10, 10, 10, 9, 9, 9, 9, 7, 4, 4, 4, 4, 4, 2, 2, 2, 2, 3, 3, 3, 3, 3, 7, 7, 7, 7, 7, 1, 1, 11, 11, 11, 5, 5, 5, 5, 5, 7, 7, 7, 7, 7, 1, 1, 1, 1, 1, 5, 5, 5, 5, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 2, 2, 3, 3]
solve = solution()
solve.readPointFromFile('D:/code/数学建模/模型2/各点之间的距离.xlsx')
solve.decRouter(result, '校验结果_2020_08_14_20_23_44.xls')
def main2():
solve = solution()
solve.readPointFromFile('D:/code/数学建模/模型2/各点之间的距离.xlsx')
solve.readHospitalFormFile('D:/code/数学建模/模型2/各点之间的距离.xlsx')
if __name__ == "__main__":
main2()
# main1()
winsound.Beep(300, 100)
node.py
#coding=utf-8
class node:
def __init__(self, name, x, y, need):
self.name = name
self.x = float(x)
self.y = float(y)
self.need = int(need)
def getName(self):
return self.name
def getX(self):
return self.x
def getY(self):
return self.y
def getNeed(self):
return self.need
def pp(self):
print(self.name, self.x, self.y, self.need)
if __name__ == '__main__':
n = node()
solution.py
#coding=utf-8
import xlrd
import sys
from node import node
from utils import haversine
import numpy as np
import math
import matplotlib.pyplot as plt
import random
import xlwt
import time
class solution:
'''
暂时先不考虑约束吧
'''
def __init__(self):
self.nodes = [] # 0 是调配中心
self.speed = 40 # 10 km/h
self.timeCoef = 1 # 权重越大 惩罚系数越大
self.moneyCoef = 1
self.graph = []
self.resultBak = []
self.hosNodes = [] # 医院节点
def readPointFromFile(self, filename):
data = xlrd.open_workbook(filename)
table = data.sheet_by_name('Sheet1')
name = table.name
rowNum = table.nrows
colNum = table.ncols
print(name, rowNum, colNum)
for i in range(13):
if (i == 0 ):
continue
tmp = []
for j in range(4):
tmp.append(table.cell(i, j).value)
n = node(tmp[0], tmp[1], tmp[2], tmp[3])
self.nodes.append(n)
self.graph = np.zeros((len(self.nodes), len(self.nodes)), dtype=float)
for i in range(len(self.nodes)):
for j in range(len(self.nodes)):
self.graph[i][j] = haversine(self.nodes[i].getX(), self.nodes[i].getY(), self.nodes[j].getX(), self.nodes[j].getY())
self.wr(self.graph, self.nodes)
for i in range(len(self.nodes)):
self.nodes[i].pp()
def readHospitalFormFile(self, filename):
data = xlrd.open_workbook(filename)
table = data.sheet_by_name('Sheet3')
name = table.name
rowNum = table.nrows
colNum = table.ncols
print(name, rowNum, colNum)
for i in range(rowNum):
if (i == 0):
continue
tmp = []
for j in range(4):
tmp.append(table.cell(i, j).value)
n = node(tmp[0], tmp[1], tmp[2], tmp[3])
self.hosNodes.append(n)
for i in range(len(self.hosNodes)):
self.hosNodes[i].pp()
def initX(self):
x = []
for i in range(1, len(self.nodes)):
tmp = [i] * self.nodes[i].getNeed()
x = x + tmp
print('初始路线', x)
random.shuffle(x)
print('初始路线', x)
return x
def genNewResult(self, res):
'''
res 就是 X 的值 T 温度越高产生翻转的概率越大 oldT 原本最大温度
'''
r = res.copy()
x = np.random.uniform(low= 0 , high= 1)
if x >= 0 and x < 0.4: # 使用交换法生成新的路径
# print('交换')
c1 = random.randint(0, len(r)-1)
c2 = random.randint(0, len(r)-1)
tmp = r[c1]
r[c1] = r[c2]
r[c2] = tmp
elif x >= 0.4 and x < 0.7: # 使用移动序列产生新路径
# print('移动')
c1 = random.randint(0, len(r) - 1)
c2 = random.randint(0, len(r) - 1)
c3 = random.randint(0, len(r) - 1)
tmp = [c1, c2, c3]
tmp.sort()
c1 = tmp[0]
c2 = tmp[1]
c3 = tmp[2]
tmp1 = r[0:c1]
tmp2 = r[c1:c2]
tmp3 = r[c2:c3]
tmp4 = r[c3:]
r = tmp1 + tmp3 + tmp2 + tmp4
else:
# print('倒置')
c1 = random.randint(0, len(r) - 1)
c2 = random.randint(0, len(r) - 1)
if c1 > c2:
tmp = c1
c1 = c2
c2 = tmp
tmp1 = r[0:c1]
tmp2 = r[c1:c2]
tmp3 = r[c2:]
tmp2.reverse()
r = tmp1 + tmp2 + tmp3
return r
def wr(self, graph, myNodes):
# 将电池电量输入到excel文件
workbook = xlwt.Workbook(encoding='utf-8')
# 创建一个worksheet
worksheet = workbook.add_sheet('My Worksheet')
# 写入excel
# 参数对应 行, 列, 值
for i in range(len(myNodes)):
for j in range(len(myNodes)):
worksheet.write(i, j, graph[i][j])
# 保存
workbook.save('距离矩阵.xls')
def wr1(self, n, filename): # 二维数组校验
# 将电池电量输入到excel文件
workbook = xlwt.Workbook(encoding='utf-8')
# 创建一个worksheet
worksheet = workbook.add_sheet('My Worksheet')
# 写入excel
# 参数对应 行, 列, 值
for i in range(len(n)):
for j in range(len(n[0])):
worksheet.write(i, j, n[i][j])
# 保存
workbook.save(filename)
def solutionForSubjectOne(self):
T = 1000 # initiate temperature
# 初始化所有分布
x = self.initX()
k = 200
y = sys.maxsize # 初始y值
xmin = [] # 记录数据值
ymin = sys.maxsize
# 温度衰减系数
a = 0.95
# 绘图
drawX = [i for i in range(200)]
drawY = []
n = 200
while n > 0:
n-=1
for i in range(k):
y = self.aimFunction1(x)
# generate a new x in the neighboorhood of x by transform function （）
xNew = self.genNewResult(x)
yNew = self.aimFunction1(xNew)
if (yNew <= y):
x = xNew.copy()
y = yNew
if (yNew < ymin):
xmin = x.copy()
ymin = yNew
else:
p = math.exp(-(yNew - y) / T)
r = np.random.uniform(low=0, high=1)
if (r < p):
x = xNew.copy()
y = yNew
drawY.append(y)
T = T * a
print('直接输出', x, self.aimFunction1(x))
print('记录最小数值', xmin, self.aimFunction1(xmin, shouOut=True))
return xmin, drawX, drawY
def aimFunction1(self, x, shouOut = False):
# start = time.clock()
rlt, opt = self.dpOpt(x)
#elapsed = (time.clock() - start)
#print("Time used:", elapsed)
if shouOut:
self.wr1(opt, '校验结果_' + self.randString() + '.xls')
return rlt
def randString(self):
now = int(time.time())
timeArray = time.localtime(now)
otherStyleTime = time.strftime("%Y_%m_%d_%H_%M_%S", timeArray)
return otherStyleTime
def dpOpt(self, x):
opt = np.zeros((len(x) + 1, 6), dtype=float)
opt[0][0] = 0 # 记录上一个最高值
opt[0][1] = self.calValue(x[:1])
opt[0][2] = self.calValue(x[:2])
opt[0][3] = self.calValue(x[:3])
opt[0][4] = self.calValue(x[:4])
opt[0][5] = self.calValue(x[:5])
bak = x.copy()
bak.append(0)
bak.append(0)
bak.append(0)
bak.append(0)
bak.append(0)
bak.append(0) # opt[100][0] 就是最小值
for i in range(1, len(x) + 1):
for j in range(0, 6):
if j == 0:
if i == 1:
opt[i][0] = opt[i-1][1]
elif i == 2:
opt[i][0] = min(opt[i - 1][1], opt[i-2][2])
elif i == 3:
opt[i][0] = min(opt[i - 1][1], opt[i - 2][2], opt[i - 3][3])
elif i == 4:
opt[i][0] = min(opt[i - 1][1], opt[i - 2][2], opt[i - 3][3], opt[i - 4][4])
else:
opt[i][0] = min(opt[i - 1][1], opt[i - 2][2], opt[i - 3][3], opt[i - 4][4], opt[i - 5][5])
else:
opt[i][j] = opt[i][0] + self.calValue(bak[i:i+j])
return opt[len(x)][0], opt
def decRouter(self, result, filename):
data = xlrd.open_workbook(filename)
table = data.sheet_by_name('My Worksheet')
name = table.name
rowNum = table.nrows
colNum = table.ncols
print(name, rowNum, colNum)
route = []
for i in range(rowNum):
tmp = []
for j in range(colNum):
tmp.append(float(table.cell(i, j).value))
route.append(tmp)
# 表格恢复 在从尾部开始遍历
carTimes = [] # 车次
r = len(route)
while r >= 7:
thisMax = route[r - 1][0]
# print(thisMax, route[ r - 2 ][1], route[ r - 3][2], route[ r - 4][3], route[r - 5][4], route[r - 6][5])
if math.fabs(thisMax - route[ r - 2 ][1]) < 0.0001:
tmp = result[r-2 : r - 2 + 1]
carTimes.insert(0, tmp)
r -= 1
elif math.fabs(thisMax - route[ r - 3][2]) < 0.0001:
tmp = result[r - 3: r - 3 + 2]
carTimes.insert(0, tmp)
r -= 2
elif math.fabs(thisMax - route[ r - 4][3]) < 0.0001:
tmp = result[r - 4: r - 4 + 3]
carTimes.insert(0, tmp)
r -= 3
elif math.fabs(thisMax - route[r - 5][4]) < 0.0001:
tmp = result[ r- 5: r - 5 + 4]
carTimes.insert(0, tmp)
r -= 4
elif math.fabs(thisMax - route[r - 6][5]) < 0.0001:
tmp = result[ r - 6: r - 6 + 5]
carTimes.insert(0, tmp)
r -= 5
carTimes.insert(0, result[0:r - 2])
for i in range(len(carTimes)):
ss = carTimes[i].copy()
ss = list(set(ss))
sss = np.zeros(len(ss))
for j in range(len(carTimes[i])):
for k in range(len(ss)):
if ss[k] == carTimes[i][j]:
sss[k] += 1
print('第 ' + str(i) + ' 次发车:', end='')
for t in range(len(ss)):
print(self.nodes[ss[t]].getName(),'发送了',sss[t],'吨',end=' ')
print()
allTime = 0
allMoney = 0
for i in range(len(carTimes)):
time, money = self.calValue1(carTimes[i])
allTime += time
allMoney += money
print('time', allTime, 'money', allMoney)
def recOpt(self, x, index):
leng = len(x)
if leng == 0:
return 0
val = []
for i in range(5):
val.append(0)
if leng > 1: # 返回汽车运送这一个节点之后返回的时间和
val[0] = self.calValue(x[:1]) + self.recOpt(x[1:], index=1+index)
elif leng == 1:
val[0] = self.calValue(x)
if leng > 2:
val[1] = self.calValue(x[:2]) + self.recOpt(x[2:], index=1+index)
elif leng == 2:
val[1] = self.calValue(x)
if leng > 3:
val[2] = self.calValue(x[:3]) + self.recOpt(x[3:], index=1+index)
elif leng == 3:
val[2] = self.calValue(x)
if leng > 4:
val[3] = self.calValue(x[:4]) + self.recOpt(x[4:], index=1+index)
elif leng == 4:
val[3] = self.calValue(x)
if leng > 5:
val[4] = self.calValue(x[:5]) + self.recOpt(x[5:], index=1+index)
elif leng == 5:
val[4] = self.calValue(x)
minValue = sys.maxsize
minPosition = 0
for i in range(5):
if(minValue >= val[i]):
minValue = val[i]
minPosition = i
if (index == 1):
print(minPosition)
return minValue
def calValue(self, x):
# 假定最后都回到发车点杭州市卫健委
goods = len(x) # 货物 吨
res = [0] + x
allDistance = 0
allMoney = 0
for i in range(len(res)):
lastPoint = res[i]
if (i + 1 >= len(res)):
nextPoint = res[0]
else:
nextPoint = res[i + 1]
x1 = self.nodes[lastPoint].getX()
y1 = self.nodes[lastPoint].getY()
x2 = self.nodes[nextPoint].getX()
y2 = self.nodes[nextPoint].getY()
distance = haversine(x1, y1, x2, y2)
allDistance += distance
allMoney += (20 + goods * 10) * distance
goods -= 1
time = allDistance / self.speed * 3600
value = time * self.timeCoef + allMoney * self.moneyCoef
return value
def calValue1(self, x):
# 假定最后都回到发车点杭州市卫健委
goods = len(x) # 货物 吨
res = [0] + x
allDistance = 0
allMoney = 0
for i in range(len(res)):
lastPoint = res[i]
if (i + 1 >= len(res)):
nextPoint = res[0]
else:
nextPoint = res[i + 1]
x1 = self.nodes[lastPoint].getX()
y1 = self.nodes[lastPoint].getY()
x2 = self.nodes[nextPoint].getX()
y2 = self.nodes[nextPoint].getY()
distance = haversine(x1, y1, x2, y2)
allDistance += distance
allMoney += (20 + goods * 10) * distance
goods -= 1
time = allDistance / self.speed * 3600
value = time * self.timeCoef + allMoney * self.moneyCoef
return time, allMoney
def setProposal(self, timeCoef, moneyCoef):
self.timeCoef = timeCoef
self.moneyCoef = moneyCoef
def solutionForTow(self):
pass
def genDistanceTable(self):
# 将电池电量输入到excel文件
workbook = xlwt.Workbook(encoding='utf-8')
# 创建一个worksheet
worksheet = workbook.add_sheet('sheet1')
# 写入excel
# 参数对应 行, 列, 值
for i in range(len(n)):
for j in range(len(n[0])):
worksheet.write(i, j, n[i][j])
# 保存
workbook.save(filename)
utils.py
#coding=utf-8
from math import radians, cos, sin, asin, sqrt, acos
import math
def haversine(lon1, lat1, lon2, lat2): # 经度1，纬度1，经度2，纬度2 （十进制度数）
"""
https://blog.csdn.net/vernice/article/details/46581361
Calculate the great circle distance between two points
on the earth (specified in decimal degrees)
"""
# 将十进制度数转化为弧度
# lon1 = lon1 / 180.0 * math.pi
# lat1 = lat1 / 180.0 * math.pi
# lon2 = lon2 / 180.0 * math.pi
# lat2 = lat2 / 180.0 * math.pi
lon1, lat1, lon2, lat2 = map(radians, [lon1, lat1, lon2, lat2])
# haversine公式
dlon = lon2 - lon1
dlat = lat2 - lat1
a = math.sin(dlat / 2) ** 2 + math.cos(lat1) * math.cos(lat2) * math.sin(dlon / 2) ** 2
c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
r = 6373 # 地球平均半径，单位为km
return c * r # 返回km
html 生成 地图图标
<!DOCTYPE html>
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="viewport" content="initial-scale=1.0, user-scalable=no" />
<style type="text/css">
body, html,#allmap {width: 100%;height: 100%;overflow: hidden;margin:0;font-family:"微软雅黑";}
</style>
<script type="text/javascript" src="https://api.map.baidu.com/api?v=2.0&ak=G8U5jxfG5l373ytOYzYYy0l1EY7ceO9P"></script>
<title>地图展示</title>
</head>
<body>
<div id="allmap"></div>
</body>
</html>
<script type="text/javascript">
// 百度地图API功能
var map = new BMap.Map("allmap"); // 创建Map实例
map.centerAndZoom("杭州", 11); // 初始化地图,设置中心点坐标和地图级别
//添加地图类型控件
map.addControl(new BMap.MapTypeControl({
mapTypes:[
BMAP_NORMAL_MAP,
BMAP_HYBRID_MAP
]}));
map.enableScrollWheelZoom(true); //开启鼠标滚轮缩放
var mapStyle ={
features: ["road", "building","water","land"],//隐藏地图上的poi
style : "light" //设置地图风格为高端黑
}
map.setMapStyle(mapStyle);
// var local = new BMap.LocalSearch(map, {
// renderOptions:{map: map}
// });
// local.search("景点");
// pointLocation();
var locations = [
'杭州市疾病预防控制中心',
'上城区疾病预防控制中心',
'下城区疾病预防控制中心',
'江干区疾病预防控制中心',
'西湖区疾病预防控制中心',
'杭州钱塘新区教育与卫生健康系统党群服务中心',
'滨江区疾病预防控制中心',
'杭州西湖风景名胜区疾病预防控制中心',
'萧山区疾病预防控制中心',
'余杭区疾病预防控制中心',
'杭州市拱墅区公共卫生中心'
];
var myGeo = new BMap.Geocoder();
// 将地址解析结果显示在地图上,并调整地图视野
myGeo.getPoint("杭州市疾病预防控制中心", function(point){
if (point) {
console.log("杭州市疾病预防控制中心",point)
map.centerAndZoom(point, 16);
map.addOverlay(new BMap.Marker(point));
var opts = {
position : point, // 指定文本标注所在的地理位置
offset : new BMap.Size(30, -30) //设置文本偏移量
}
var label = new BMap.Label("杭州市疾控中心", opts); // 创建文本标注对象
label.setStyle({
color : "red",
fontSize : "12px",
height : "20px",
lineHeight : "20px",
fontFamily:"微软雅黑"
});
map.addOverlay(label);
}else{
alert("您选择地址没有解析到结果!");
}
}, "杭州市")
myGeo.getPoint("上城区疾病预防控制中心", function(point){
if (point) {
console.log("上城区疾病预防控制中心",point)
// map.centerAndZoom(point, 16);
map.addOverlay(new BMap.Marker(point));
var opts = {
position : point, // 指定文本标注所在的地理位置
offset : new BMap.Size(30, -30) //设置文本偏移量
}
var label = new BMap.Label("上城区疾控中心", opts); // 创建文本标注对象
label.setStyle({
color : "red",
fontSize : "12px",
height : "20px",
lineHeight : "20px",
fontFamily:"微软雅黑"
});
map.addOverlay(label);
}else{
alert("您选择地址没有解析到结果!");
}
}, "杭州市")
myGeo.getPoint("下城区疾病预防控制中心", function(point){
if (point) {
console.log("下城区疾病预防控制中心",point)
// map.centerAndZoom(point, 16);
map.addOverlay(new BMap.Marker(point));
var opts = {
position : point, // 指定文本标注所在的地理位置
offset : new BMap.Size(30, -30) //设置文本偏移量
}
var label = new BMap.Label("下城区疾控中心", opts); // 创建文本标注对象
label.setStyle({
color : "red",
fontSize : "12px",
height : "20px",
lineHeight : "20px",
fontFamily:"微软雅黑"
});
map.addOverlay(label);
}else{
alert("您选择地址没有解析到结果!");
}
}, "杭州市")
myGeo.getPoint("江干区疾病预防控制中心", function(point){
if (point) {
console.log("江干区疾病预防控制中心",point)
// map.centerAndZoom(point, 16);
map.addOverlay(new BMap.Marker(point));
var opts = {
position : point, // 指定文本标注所在的地理位置
offset : new BMap.Size(30, -30) //设置文本偏移量
}
var label = new BMap.Label("江干区疾控中心", opts); // 创建文本标注对象
label.setStyle({
color : "red",
fontSize : "12px",
height : "20px",
lineHeight : "20px",
fontFamily:"微软雅黑"
});
map.addOverlay(label);
}else{
alert("您选择地址没有解析到结果!");
}
}, "杭州市")
myGeo.getPoint("西湖区疾病预防控制中心", function(point){
if (point) {
console.log("西湖区疾病预防控制中心",point)
// map.centerAndZoom(point, 16);
map.addOverlay(new BMap.Marker(point));
var opts = {
position : point, // 指定文本标注所在的地理位置
offset : new BMap.Size(30, -30) //设置文本偏移量
}
var label = new BMap.Label("西湖区疾控中心", opts); // 创建文本标注对象
label.setStyle({
color : "red",
fontSize : "12px",
height : "20px",
lineHeight : "20px",
fontFamily:"微软雅黑"
});
map.addOverlay(label);
}else{
alert("您选择地址没有解析到结果!");
}
}, "杭州市")
local_hz_qtxqjyywsjk = {
lat : 30.289927,
lng :120.379635,
of : "inner"
}
map.addOverlay(new BMap.Marker(local_hz_qtxqjyywsjk));
var opts = {
position : local_hz_qtxqjyywsjk, // 指定文本标注所在的地理位置
offset : new BMap.Size(30, -30) //设置文本偏移量
}
var label = new BMap.Label("杭州钱塘新区疾控中心", opts); // 创建文本标注对象
label.setStyle({
color : "red",
fontSize : "12px",
height : "20px",
lineHeight : "20px",
fontFamily:"微软雅黑"
});
map.addOverlay(label);
console.log("杭州钱塘新区教育与卫生健康系统党群服务中心",local_hz_qtxqjyywsjk)
local_hz_center = {
lat : 30.245155,
lng :120.209439,
of : "inner"
}
var options = {
size: BMAP_POINT_SIZE_SMALL,
shape: BMAP_POINT_SHAPE_STAR,
color: 'red'
}
var pointCollection = new BMap.Marker(local_hz_center, options);
// var cen = new BMap.Marker(local_hz_center)
map.addOverlay(pointCollection);
var opts = {
position : local_hz_center, // 指定文本标注所在的地理位置
offset : new BMap.Size(30, -30) //设置文本偏移量
}
var label = new BMap.Label("杭州市卫健委", opts); // 创建文本标注对象
label.setStyle({
color : "red",
fontSize : "12px",
height : "20px",
lineHeight : "20px",
fontFamily:"微软雅黑"
});
map.addOverlay(label);
console.log("杭州市卫生健康委员会",local_hz_center)
// myGeo.getPoint("杭州钱塘新区教育与卫生健康系统党群服务中心", function(point){
// if (point) {
// console.log("杭州钱塘新区教育与卫生健康系统党群服务中心",point)
// // map.centerAndZoom(point, 16);
// map.addOverlay(new BMap.Marker(point));
// var opts = {
// position : point, // 指定文本标注所在的地理位置
// offset : new BMap.Size(30, -30) //设置文本偏移量
// }
// var label = new BMap.Label("杭州钱塘新区教育与卫生健康系统党群服务中心", opts); // 创建文本标注对象
// label.setStyle({
// color : "red",
// fontSize : "12px",
// height : "20px",
// lineHeight : "20px",
// fontFamily:"微软雅黑"
// });
// map.addOverlay(label);
// }else{
// alert("您选择地址没有解析到结果!");
// }
// }, "杭州市")
myGeo.getPoint("滨江区疾病预防控制中心", function(point){
if (point) {
console.log("滨江区疾病预防控制中心",point)
// map.centerAndZoom(point, 16);
map.addOverlay(new BMap.Marker(point));
var opts = {
position : point, // 指定文本标注所在的地理位置
offset : new BMap.Size(30, -30) //设置文本偏移量
}
var label = new BMap.Label("滨江区疾控中心", opts); // 创建文本标注对象
label.setStyle({
color : "red",
fontSize : "12px",
height : "20px",
lineHeight : "20px",
fontFamily:"微软雅黑"
});
map.addOverlay(label);
}else{
alert("您选择地址没有解析到结果!");
}
}, "杭州市")
myGeo.getPoint("杭州西湖风景名胜区疾病预防控制中心", function(point){
if (point) {
console.log("杭州西湖风景名胜区疾病预防控制中心",point)
// map.centerAndZoom(point, 16);
map.addOverlay(new BMap.Marker(point));
var opts = {
position : point, // 指定文本标注所在的地理位置
offset : new BMap.Size(30, -10) //设置文本偏移量
}
var label = new BMap.Label("杭州西湖风景区疾控中心", opts); // 创建文本标注对象
label.setStyle({
color : "red",
fontSize : "12px",
height : "20px",
lineHeight : "20px",
fontFamily:"微软雅黑"
});
map.addOverlay(label);
}else{
alert("您选择地址没有解析到结果!");
}
}, "杭州市")
myGeo.getPoint("萧山区疾病预防控制中心", function(point){
if (point) {
console.log("萧山区疾病预防控制中心",point)
// map.centerAndZoom(point, 16);
map.addOverlay(new BMap.Marker(point));
var opts = {
position : point, // 指定文本标注所在的地理位置
offset : new BMap.Size(30, -30) //设置文本偏移量
}
var label = new BMap.Label("萧山区疾控中心", opts); // 创建文本标注对象
label.setStyle({
color : "red",
fontSize : "12px",
height : "20px",
lineHeight : "20px",
fontFamily:"微软雅黑"
});
map.addOverlay(label);
}else{
alert("您选择地址没有解析到结果!");
}
}, "杭州市")
myGeo.getPoint("余杭区疾病预防控制中心", function(point){
if (point) {
console.log("余杭区疾病预防控制中心",point)
// map.centerAndZoom(point, 16);
map.addOverlay(new BMap.Marker(point));
var opts = {
position : point, // 指定文本标注所在的地理位置
offset : new BMap.Size(30, -30) //设置文本偏移量
}
var label = new BMap.Label("余杭区疾控中心", opts); // 创建文本标注对象
label.setStyle({
color : "red",
fontSize : "12px",
height : "20px",
lineHeight : "20px",
fontFamily:"微软雅黑"
});
map.addOverlay(label);
}else{
alert("您选择地址没有解析到结果!");
}
}, "杭州市")
myGeo.getPoint("杭州市拱墅区公共卫生中心", function(point){
if (point) {
console.log("杭州市拱墅区公共卫生中心",point)
// map.centerAndZoom(point, 16);
map.addOverlay(new BMap.Marker(point));
var opts = {
position : point, // 指定文本标注所在的地理位置
offset : new BMap.Size(30, -30) //设置文本偏移量
}
var label = new BMap.Label("杭州市拱墅区疾控中心", opts); // 创建文本标注对象
label.setStyle({
color : "red",
fontSize : "12px",
height : "20px",
lineHeight : "20px",
fontFamily:"微软雅黑"
});
map.addOverlay(label);
}else{
alert("您选择地址没有解析到结果!");
}
}, "杭州市")
// var myGeo = new BMap.Geocoder();
// // 将地址解析结果显示在地图上,并调整地图视野
// myGeo.getPoint("杭州市疾病预防控制中心", function(point){
// if (point) {
// console.log("杭州市疾病预防控制中心",point)
// map.centerAndZoom(point, 16);
// map.addOverlay(new BMap.Marker(point));
// }else{
// alert("您选择地址没有解析到结果!");
// }
// }, "杭州市")
</script>
---------------------------我的天空里没有太阳，总是黑夜，但并不暗，因为有东西代替了太阳。虽然没有太阳那么明亮，但对我来说已经足够。凭借着这份光，我便能把黑夜当成白天。我从来就没有太阳，所以不怕失去。
--------《白夜行》
