林内 JSQ32-22CA 16升燃气热水器评测怎么样
恒温速热，燃热销量第一。林内JSQ26-22CA燃气热水器恒温智能，安全耐久。林内JSQ26-22CA采用微火苗技术，精确的控温，让您使用更贴心，时时刻刻享受适温带来的贴心感受，不会因为洗澡水忽冷忽热&闹情绪&而让您感受冰火俩冲天的洗澡过程，林内JSQ26-22CA采用ECO节能模式，智能控温，保证您所需要的温度。
天猫链接：林内官方旗舰店：
微火苗精控技术，精准控温，让您的使用更贴心!
产品型号：林内JSQ26-22CA
产品报价：3199元
编辑点评：林内JSQ26-22CA，智能控温让您日常生活变得更加随心，不论任何时候你想要什么温度的热水，林内JSQ26-22CA都能给您想要的温度。13L豪华版储存水量更多，ECO节能模式更贴心，不用担心过度浪费。这样一款家用热水器您还在犹豫什么，赶快给家里添置一台吧。
恒温速热，燃热销量第一。林内JSQ26-22CA燃气热水器恒温智能，安全耐久。林内JSQ26-22CA采用微火苗技术，精确的控温，让您使用更贴心，时时刻刻享受适温带来的贴心感受，不会因为洗澡水忽冷忽热&闹情绪&而让您感受冰火俩冲天的洗澡过程，林内JSQ32-22CA采用ECO节能模式，智能控温，保证您所需要的温度。
天猫链接：林内官方旗舰店:
微火苗精控技术，精准控温，让您的使用更贴心!
产品型号：林内JSQ26-22CA
产品报价：2799元
编辑点评：林内JSQ26-22CA，智能控温让您日常生活变得更加随心，不论任何时候你想要什么温度的热水，林内JSQ26-22CA都能给您想要的温度。13L豪华版储存水量更多，ECO节能模式更贴心，不用担心过度浪费。这样一款家用热水器您还在犹豫什么，赶快给家里添置一台吧。
林内JSQ32-22CA和JSQ32-55C的区别：
JSQ32-55C旗舰版相比于豪华版多了以下几个功能：
1多了水量伺服器可以更精准的控制水量和温度更加的节能
2可以记忆两个常用水温尤其对于有小孩子的家庭可以给小孩子专门设置一个水温这样防止烫伤
3支持拓展面板您可以再安装一个遥控面板这样可以远程控制热水器
4.浴缸注水提醒功能
使用过Rinnai/林内JSQ26-22CA 13升豪华版 恒温燃气热水器 强排式用户这样说：林内一直是我心目当中热水器的第一品牌，虽然价格有些高端，但是我一直坚持一分钱一分货的消费原则，一直不会改变。品质生活应该从内在质量和具体细节入手，加以体验和感受。我相信林内，我相信我的选择!
天猫链接：林内官方旗舰店:
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了解下前锋jsq32h6热水器用起来如何
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了解下前锋jsq32h6热水器用起来如何
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了解下前锋jsq32h6热水器用起来如何？
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全部回答(6)
A：锋热水器JSQ20-1023通过新一代波纹型冷凝热交换器实现利用原本无法回收的烟气中的热量用以预热冷水，因此热效率比普通热水器提高了15％以上，最终排出的烟气温度降至40℃左右，同时采用冷凝水中和技术对排放的冷凝水进行无害处理，节能又环保；轻触*作，体验科技魅力，三种颜色温馨柔光辅助用户*作。
A：前锋热水器jsq32x8h参考价格：2599元
基本参数：
550×350×146
549×355×138
564×355×138
16/20/23.6/32/36/48
8/10/12/16/18/24
天燃气2000液化气2800
*脉冲连续放电点火
天然气/液化气
Φ60/Φ60/Φ60/Φ70
以上价格均来源于网络，仅供参考，具体价格以购买时为准。
A：前锋CHIFFOJSQ32-E6目前市场价格大概是2960.37。主要产品参数如下:功能空间：厨房,功能特点：冷凝式,恒温加热,强排式,升位：16L,是否防冻：防冻型,燃气类型：天然气
A：前锋CHIFFO燃气热水器的产品规格:552*341*141mm。前锋 燃气热水器 高端智能速热恒温 强排16升主要参数如下:功能空间：厨房,功能特点：冷凝式,恒温加热,强排式,升位：16L,是否防冻：防冻型,燃气类型：天然气
A：气能热泵热水机组是当今世界上开拓利用新能源最好的设备之一
空气能热水器，是继燃气热水器，电热水器和太阳能热水器之后的新一代热水装置。采用逆卡诺循环原理
空气能热水器的优缺点，在电能驱动下，以制冷剂为载体
空气能热水器安装，从空气中吸收热量用以制热水，满足家庭、复式住宅、别墅等家庭热水需要。它比电热水器，燃气热水器和太阳能热水器用起来更舒适更安全。不错
A：史密斯冷凝热水器用起来还不错，它的热效率高、加热速度快、温度调节稳定、可多人连续使用，拥有一批固定的消费者。冬天在厨房
里就可以随时来热水，方便；水温恒定，购置费用便宜。一般家庭，使用8升的机器就够了。
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&专业回收西门子plc，（S7-200,S7-300,S7-400系列plc），6GK,6AV ,CUVC,CUD1，西门子TDC，西门子存储卡,西门子变频器等全线西门子自动化产品。西门子回收 ：&满意的价格，快的付款速度，热诚欢迎各地朋友洽谈合作。
地址：重庆市渝北区财富大道2号12-4
问题：ET200Pro F-FC功能选择时立即STO状态？
解决：使用Starter V4.1.2.4以上的版本。
ET200Pro F-FC的功能须与F-DSM/F-RSM 或 F-switch 模板一起使用（图1）。
&&& ¤&通过F-DSM/F-RSM的“急停”按钮或者F-switch的PROFIsafe控制“F0”；
&&& ¤&F-switch还有一个额外的关断“F1”；
&&& ¤&在变频器内部可以的分配关断控制3个功能。
图1 ET200Pro F-FC的功能选择原理
通过Starter（或者DriveES Starter/ Simotion Scout），可以访问ET200Pro F-FC内部并选择“F0”或者“F1”某个功能。但不同版本的设置可能不同。
1） Starter （V4.1.2.4）
如果使用Starter （V4.1.2.4）对ET200Pro F-FC进行设置时，其参数设置界面是正常的（见图2）。
图2 Starter V4.1.2.4设置界面
通过“Safety busbar F0/F1”，可以选择功能中的一种，其中STO(F0)/SS1(F0)/SLS(F0)分别通过参数P bit 0.2.4进行控制，而STO(F1)/SS1(F1)/SLS(F1)则分别通过参数P bit 1.3.5进行控制。
当SLS（F0）时，可以看到参数“P9603 BIT0=1 ”
2） Starter （V4.1.1.2）
如果使用Starter （V4.1.1.2）对ET200Pro F-FC进行设置时，其参数设置界面就会出现问题（见图3）。
图3 Starter V4.1.1.2设置界面
在“Safety busbar F0/F1”选择功能时，实际的参数与界面的标识是相反的，及G1对应STO(F0)/SS1(F0)/SLS(F0) 的参数是P bit 1.3.5，而G2对应STO(F1)/SS1(F1)/SLS(F1) 的参数是P bit 0.2.4，因而如果选择F0的功能时，必须选择“Safety busbar G2”。
3） SIMOTION Scout (V4.1.2.0)
使用该版本的与使用“Starter （V4.1.1.2）”版本的的参数界面是一样的，都是参数与设置界面是相反的（图4）。
图4 Starter V4.1.1.2设置界面
1 使用Starter V4.1.2.4 以上版本的调试（包括DriveES Starter/ Simotion Scout等）配置ET200Pro F-FC参数时，可以正常使用；
2 当使用老版本的时，注意选择的通道“G1/G2”与实际的通道是相反的。
(一) SIWAREX MS称重模块简介
SIWAREX MS称重模块集成在SIMATIC S7-200中，主要特征如下：
利用STEP 7 MicroWin版本4.0 SP2及更高版本进行配置；
分辩率高达16位的重量测量或力的测量；
精度0.05 %；
可以在20 ms或33 ms之间选择的快速测量时间；
使用SIWATOOL MS，通过RS 232接口很容易地实现校秤；
允许理论校秤；
更换模块后无需重新校订，只需重新下载校秤数据即可；
适用于1类防爆区域的本质称重传感器电源（SIWAREX IS选项）；
诊断功能。
(二) 设备及列表
CPU224 DC/DC/DC
214-1AD21-0XB0
SIWAREX MS称重模块
称重传感器
PC/PPI 电缆
6ES7 901-3BF20-0XA0
或6ES7 901-3DB30-0XA0
SIWATOOL连接电缆（可选）
7MH4 702-8CA
屏蔽连接端子
6ES5 728-8MA11
STEP7 MicroWin
4.0 SP2及更高版本
包含Micro/Win程序库、SIWATOOL MS及使用手册
注：建议次使用SIWAREX MS的客户从西门子技术支持网站下载入门例子程序：
(三) 通过MicroWin编程校秤
1. 打开MicroWin
2. &图标，设置通信接口
3. 双击，PC与PLC建立连接
如果未能建立连接，请检查电缆是否连接好、PC/PG Interface中设定的参数是否正确。
4. 添加称重库指令
Libraries，右键选择Add/Remove Libraries选项
添加完毕后，如下图所示：
MicroWin功能块参数说明：
（1） SIWAREX MS需要SIMATIC CPU的输入和输出区域中的4个字来进行操作。参数“First_AIW、Second_AIW、Third_AIW和Fourth_AIW”及“First_AQW、Second_AQW、Third_AQW和Fourth_AQW”必须匹配实际模块地址。如下图所示：
（2） FirstVB_Pointer：为了能够与SIWAREX模块进行通信，每台秤需要用20字节的变量存储区，该范围的起始字节通过参数“FirstVB_POINTER”来传送，采用指针格式， 如&VB0。
变量具体含义参见下表：
（3） Lib_Error_Bits：存储错误状态；
6. &建立符号表：
7. &，建立变量表，然后 ，在线查看和修改PLC变量
步：零点标定
空秤时显示毛重为1.85kg (注：默认单位为kg，小数点位数为2)
写入命令代码3，并将触发位置1，&按钮，进行零点标定，将当前重量标为0，如下所示：
第二步：砝码标定
将一个20kg的砝码传感器上，然后写入命令代码4，并将触发位置1
命令执行完毕后，值为2000，即20kg
注：（1）务必保证标定砝码的重量大于所有称重传感器的总额定负荷的5 %，否则命令4无法执行；
（2）标定砝码的重量可以通过SIWATOOL MS进行修改，默认值为20kg
第三步：去皮操作
当前毛重为6.59kg，写入命令代码22，并将触发位置1，如下所示
命令执行完毕后，毛重值变为0kg
注：（1）如果采用预设皮重的，那么可以在VW14中输入预设的皮重值，然后执行命令26；或者在SIWATOOL MSDR15中输入预设皮重，然后执行命令24
第四步：毛重、皮重和净重的显示
通过变量VB10 （即Select_Process_Value）选择变量VW2代表的重量类型：
VB10 (Select_Process_Value)
(Process_Value)
毛重或净重（默认执行去皮操作前显示毛重；去皮后显示净重）
滤波后的原始值
未滤波的原始值
其它命令的使用请参考SIWAREX MS使用手册
定货号&&&注释
6ES7 211-0AA23-0xB0&&& CPU221 DC/DC/DC,6输入/4输出
6ES7 211-0BA23-0xB0&&& CPU221&继电器输出,6输入/4输出
6ES7 212-1AB23-0xB8&&& CPU222 DC/DC/DC,8输入/6输出
6ES7 212-1BB23-0xB8&&& CPU222&继电器输出,8输入/6输出
6ES7 214-1AD23-0xB8&& CPU224 DC/DC/DC,14输入/10输出
6ES7 214-1BD23-0xB8&& CPU224&继电器输出,14输入/10输出
6ES7 214-2AD23-0xB8&& CPU224XP DC/DC/DC,14DI/10DO,2AI/1AO(PNP)
6ES7 214-2AS23-0xB8&&& CPU224XPsi DC/DC/DC,14DI/10DO,2AI/1AO(NPN)
6ES7 214-2BD23-0xB8&& CPU224XP&继电器输出,14DI/10DO,2AI/1AO
6ES7 216-2AD23-0xB8&& CPU226 DC/DC/DC,24输入/16输出
6ES7 216-2BD23-0xB8&& CPU226&继电器输出,24输入/16输出
6ES7 221-1BH22-0xA8&&& EM221 16入&24VDC，开关量
6ES7 221-1BF22-0xA8&&& EM221 8入&24VDC，开关量
6ES7 221-1EF22-0xA0&&& EM221 8入&120/230VAC，开关量
6ES7 222-1BF22-0xA8&&& EM222 8出&24VDC，开关量
6ES7 222-1EF22-0xA0&&& EM222 8出&120V/230VAC，0.5A&开关量
6ES7 222-1HF22-0xA8&&& EM222 8出&继电器
6ES7 222-1BD22-0xA0&& EM222 4出&24VDC&固态－MOSFET
6ES7 222-1HD22-0xA0&& EM222 4出&继电器&干触点
6ES7 223-1BF22-0xA8&&& EM223 4入/4出&24VDC，开关量
6ES7 223-1HF22-0xA8&&& EM223 4入&24VDC/4出&继电器
6ES7 223-1BH22-0xA8&&& EM223 8入/8出&24VDC，开关量
6ES7 223-1PH22-0xA8&&& EM223 8入&24VDC/8出&继电器
6ES7 223-1BL22-0xA8&&& EM223 16入/16出&24VDC，开关量
6ES7 223-1PL22-0xA8&&& EM223 16入&24VDC/16出&继电器
6ES7 223-1BM22-0xA8&& EM223 32入/32出&24VDC，开关量
6ES7 223-1PM22-0xA8&& EM223 32入&24VDC/32出&继电器
6ES7 231-0HC22-0xA8&&& EM231 4入12位精度，模拟量
6ES7 231-0HF22-0xA0&&& EM231 8入12位精度，模拟量
6ES7 231-7PB22-0xA8&&& EM231 2入热电阻，模拟量
6ES7 231-7PC22-0xA0&&& EM231 4入热电阻，模拟量
6ES7 231-7PD22-0xA8&&& EM231 4入热电偶，模拟量
6ES7 231-7PF22-0xA0&&& EM231 8入热电偶，模拟量
6ES7 232-0HB22-0xA8&&& EM232 2出12位精度，模拟量
6ES7 232-0HD22-0xA0&& EM232 4出12位精度，模拟量
6ES7 235-0KD22-0xA8&& EM235 4入/1出12位精度，模拟量
6ES7 277-0AA22-0xA0&&& EM277 PROFIBUS-DP接口模块
6ES7 253-1AA22-0xA0&&& EM253&位控模块
6ES7 241-1AA22-0xA0&&& EM241&调制解调器模块
6GK7 243-1EX01-0xE0&&& CP243-1&工业以太网模块
6GK7 243-1GX00-0xE0&& CP243-1IT&工业以太网模块
附件=非模块&
6ES-0xA0&&&& MC291,新CPU22x存储器盒,64K
6ES7 297-1AA23-0xA0&&& CC292,CPU22x时钟/日期电池盒
6ES7 291-8BA20-0xA0&&& BC293,CPU22x电池盒
6ES7 290-6AA20-0xA0&&&&扩展电缆,I/O扩展,0.8米,CPU22x/EM
6ES7 901-3CB30-0xA0&&&&编程/通讯电缆,PC/PPI,带光电隔离,5-开关,5m
6ES7 901-3DB30-0xA0&&&编程/通讯电缆,PC/PPI,带光电隔离,USB接口，5-开关
6ES7 292-1AD20-0AA0&& CPU22x/EM端子连接器块,7个端子,可拆卸
6ES7 292-1AE20-0AA0&&& CPU22x/EM端子连接器块,12个端子,可拆卸
6ES7 292-1AG20-0AA0&& CPU22x/EM连接器块,18个端子,可拆卸
6AV-0AX0&&& TD400C文本显示器
西门子s7-300& 说明:
cpu 312，用于小型工厂
cpu 314，用于对程序量和指令处理速率有额外要求的工厂
cpu 315-2 dp，用于具有中/大规模的程序量以及使用profibus dp进行分布式组态的工厂
cpu 315-2 pn/dp，用于具有中/大规模的程序量以及使用profibus dp和profinet io进行分布式组态的工厂，在profinet上实现基于组件的自动化中实现分布式智能
cpu 317-2 dp，用于具有大容量程序量以及使用profibus dp进行分布式组态的工厂
cpu 317-2 pn/dp，用于具有大容量程序量以及使用profibus dp和profinet io进行分布式组态的工厂，在profinet上实现基于组件的自动化中实现分布式智能
cpu 319-3 pn/dp，用于具有极大容量程序量何组网能力以及使用profibus dp和profinet io进行分布式组态的工厂，在profinet上实现基于组件的自动化中实现分布式智能
西门子s7-200&概述：
s7-200系列plc适用于各行各业，各种中的检测、监测及控制的自动化。s7-200系列的强大功能使其无论在运行中，或相连成网络皆能实现复杂控制功能。因此s7-200系列具有极高的性能/价格比。
s7-200系列出色在以下几个方面：
1、极高的可靠性
2、极丰富的指令集
4、便捷的操作
5、丰富的内置集成功能
6、实时特性
7、强劲的通讯能力
8、丰富的扩展模块
s7-200系列在集散自动化中充分发挥其强大功能。使用范围可覆盖从替代继电器的简单控制到更复杂的自动化控制。应用领域极为广泛，覆盖所有与自动检测，自动化控制有关的工业及民用领域，包括各种机床、机械、电力设施、民用设施、保护设备等等。如：冲压机床，磨床，印刷机械，橡胶化工机械，空调，电梯控制，运动。s7-200系列plc可提供4个不同的基本型号的8种cpu供您使用。
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南京壹号家信息科技有限公司所有进程概述和内存分配
http://blog.csdn.net/zhangyifei216/article/details/#rd
一个进程的内存布局是什么样的?
每个进程所所分配的内存由很多部分组成，通常我们称之为段，一般会有如下段:
文本段 包含了进程执行的程序机器语言指令，文本段具有只读属性，以防止进程通过错误指针意外修改自身的指令。初始化数据段包含了显示初始化的全局变量和静态变量，当程序加载到内存时，从可执行文件中读取这些变量的值未初始化数据段包含了未进行显式初始化的全局变量和静态变量，程序启动之前，系统将本段内所有的内存初始化为0。栈段是一个动态增长和收缩的段，由栈帧组成，系统会为每个当前调用的函数分配一个栈帧，栈帧中存储了函数的具备变量，实参，和返回值。堆段是可在运行时动态进程内存分配的一块区域，堆顶端称作program break
注: 为什么要区分初始化数据段，和未初始化数据段呢？,未初始化数据段简称为BSS段，有何含义BSS全称为Block Started by Symbol，其主要原因在于程序在磁盘上存储时，没有必要为未经初始化的变量分配存储空间，相反，可执行文件只需要记录未初始化数据段的位置和所需大小即可。直到运行时才分配内存空间。通过size命令可以显示可执行文件的文本段，初始化数据段，未初始化数据段的段大小信息。
如何知道进程的文本段，初始化数据段和非初始化数据段的结束位置?
大多数UNIX实现中C语言编程环境提供了三个全局符号:etext，edata，end，可在程序内使用这些符号获取文本段，初始化数据段，未初始化数据段结尾处下一字节的地址。代码如下:
&img src=&data:image/base64,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& alt=&& /&
如何获取虚拟内存的页面大小?
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& 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如何读取任一进程的命令行参数和程序名?
通过读取proc/PID/cmdline可以得到任一进程的命令行参数信息，如果想获取程序本身的命令行参数，可以使用proc/self/cmdline来读取，对于如何获取进程的程序名有如下两种方法:
读取/proc/self/exe的符号链接内容，这个文件会通过符号链接到真正的可执行文件路径，是绝对路径，通过readlink可以读取其中链接的绝对路径名称
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& alt=&& /&
&img 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