Android Service learning notes

本文详细介绍了Android中的服务组件,包括其作用、类型、生命周期等,并提供了启动和停止服务的方法。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

Service As one of the four major components of Android, it is used to perform a number of tasks that do not require user interaction as well as long running time, an activity can start a service , It will continue to run in the background , Even if the user switches to another application.

Service Can be divided into two basic types:

#

  1. started 
    If an application component (such as a activity) is called by startService () To start the service, the service is “started”. Once it is started, the service will be able to run in the background, even if it is destroyed. Usually, the started service performs a single operation and does not return a result to the caller. For example, it can download or upload files through the network. When the operation is complete, the service should terminate itself.
  2. bound 
    If an application component is called by bindService () Binding to a service, the service is “bound”. The bound service provides a client / A server interface that allows components to interact with the service, send requests, get results, and even use interprocess communication (IPC) to perform these operations across processes. The lifetime of the binding service is consistent with the application component that is bound. Multiple components can bind to a service at the same time, but after all components are unbound, the service will be destroyed.

The following figure is given by the official Service life cycle 
Service Life cycle diagram

Service Complete survival Period begins at onCreate () At the end of the call, the onDestroy () Return time. Similar to activity, service in onCreate () Complete the initial setup work in the onDestroy () Release all unreleased resources. For example, a music player service can be used in onCreate () Create music player thread in onDestroy () Terminate the thread. Whether it is with startService () Created, or bindService () Created, all services will call onCreate () And onDestroy () Method。

Service Active survival Start at onStartCommand () Or onBind () Call. These two methods will be introduced to startService () Or bindService () The Intent。 If the service is started, the active life and the full life cycle are completed at the same time (even onStartCommand) () After returning, the service is still active If the service is bound, the active lifetime is onUnbind() Return end.

#

Define a service

Define a service that declares a class that inherits from Service, which has an abstract method onBind ()

After defining the service, you need to declare in the manifest file

<manifest ... >
  ...
  <application ... >
      <service android:name=".ExampleService" />
      ...
  </application>
</manifest>

stay <service> Elements can contain a number of other attributes, such as defining the attributes required to start a service, the process that the service runs, and so on. Android :name Is the only necessary attribute —— It defines the class name of the service.

#

Start and stop service

#

Intent startIntent = new Intent(this,MyService.class);
startService(startIntent);// Start service 
Intent stopIntent = new Intent(this,MyService.class);
stopService(stopIntent);// Out of Service 

When the service is started, the onCreate () method and the onStartCommand method are called, but the onCreate method is called only when it is first created, and the onStartCommand method can be called multiple times.

REFER1:http://www.sosoblog.top/?p=759 

本研究利用Sen+MK方法分析了特定区域内的ET(蒸散发)趋势,重点评估了使用遥感数据的ET空间变化。该方法结合了Sen斜率估算器和Mann-Kendall(MK)检验,为评估长期趋势提供了稳健的框架,同时考虑了时间变化和统计显著性。 主要过程与结果: 1.ET趋势可视化:研究利用ET数据,通过ET-MK和ET趋势图展示了蒸散发在不同区域的空间和时间变化。这些图通过颜色渐变表示不同的ET水平及其趋势。 2.Mann-Kendall检验:应用MK检验来评估ET趋势的统计显著性。检验结果以二元分类图呈现,标明ET变化的显著性,帮助识别出有显著变化的区域。 3.重分类结果:通过重分类处理,将区域根据ET变化的显著性进行分类,从而聚焦于具有显著变化的区域。这一过程确保分析集中在具有实际意义的发现上。 4.最终输出:最终结果以栅格图和png图的形式呈现,支持各种应用,包括政策规划、水资源管理和土地利用变化分析,这些都是基于详细的时空分析。 ------------------------------------------------------------------- 文件夹构造: data文件夹:原始数据,支持分析的基础数据(MOD16A2H ET数据 宁夏部分)。 results文件夹:分析结果与可视化,展示研究成果。 Sen+MK_optimized.py:主分析脚本,适合批量数据处理和自动化分析。 Sen+MK.ipynb:Jupyter Notebook,复现可视化地图。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值