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3、4-01-05卸料平台验收表.doc46a51fe3c2aa480d88c1ecf0a7cc499b.gifJL04-01-05卸料平台验收表.doc2020-71142d465dd-9009-45b7-8be3-c3c9b361e2ea4te6Mdfm1sJFFXwPd2qgmZUwfBmeqUEEWpIQVfa8oGnfUCKRbHP2BbQJjkpfm0B4JL04-01-05卸,JL04,01,056c962ea9299e5c64721fdf16a50f0204北京城建集团有限责任公司 卸 料 平 台 验 收 表 防护表3编号：JL04-01-05单位： 验收时间： 年 月 日 工程名
4、称（栋号）验收部位平台类型支搭时间序号项目验收标准验收结果1材料工子钢、钢丝绳、钢管、脚手板、扣件规格材质应符合设计要求，无锈、弯曲、压扁、断丝。2设计计算方案要有独立的设计方案，有平面图，并有单独的计算书3护身栏与脚手板平台三面支搭不底于1.5m高护身栏，密目网挂在护身栏里侧，并设挡脚板，板铺严、铺牢，端头处应用铅丝捆绑牢固。4固定每侧钢丝绳不少于两组，绳卡不少于三个，钢丝绳与物体接触点必须做保护，固定点应按设计设置预埋环。5验收意见复查意见会项目负责人技术负责人搭设班组使用班组安全员签注：此表一式两份，技术、安全各一份。黄嘉文0002000006其他文案20200711080457256w
5、1SMHOrXcmbjhvn6miuf8IoqEbYEPEHG/r6azvfkO9qTeH/jr/pWOz/dnYUEuivr北京城建集团有限责任公司 卸 料 平 台 验 收 表 防护表3 编号：JL04-01-05 单位： 验收时间： 年 月 日 工程名称（栋号） 验收部位 平台类型 支搭时间 序号 项目 验收标准 验收结果 1 材料 工子钢、钢丝绳、钢管、脚手板、扣件规格材 质应符合设计要求，无锈、弯曲、压扁、断丝。 2 设计计算方案 要有独立的设计J笀鄼匀鄼讀缁黽H缀窢刀椀鬂褃焗潎靠梋搀漀挀愀挀攀昀愀戀搀攀最椀昀潎靠梋搀漀挀尀尀戀戀愀昀攀昀昀攀搀攀椀漀瘀椀栀夀吀眀夀稀氀甀儀瀀攀甀儀洀圀攀
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7、桢敔螈蝢黿敔螈敔螈敔螈蝢帀最琀敔螈蝢帀最琀敔螈蝢帀最琀敔螈蝢帀最琀敔螈蝢帀澐靴桨瓿需澐桨琀潏敠遧靨需琀獞琀汞蝢氀梋氀蝢黿汒蝢帀最琀汒蝢帀汒蝢帀最琀汒蝢帀最琀汒蝢帀琀蝢琀梋琀蝢鹔蝨蝨蝢帀最琀蝢帀最琀蝢帀最琀蝢帀最琀蝢帀琀敔螈蝢敔螈栀桢敔螈蝢黿敔螈敔螈敔螈蝢帀最琀敔螈蝢帀最琀敔螈蝢帀最琀敔螈蝢帀最琀敔螈蝢帀靥唢祓靨啒祓蝖瘀蝎儀樀稀欀倀吀搀最嘀戀瘀栀一椀嘀樀最嘀刀礀樀匀挀戀爀琀愀氀渀砀伀刀瀀最爀愀最一澐靴桨塎需澐桨潏敠遧靨需獞蝢梋蝢黿蝢帀愀洀瀀最琀蝢帀愀洀瀀最琀蝢faces with these organizations which are part of the metamatrix frame
8、work, not the entities in and of themselves. 2 PersonnelKnowledgeResourcesTasksOrganizations PersonnelPPPKPRPTPO KnowledgeKPKKKRKTKO ResourcesRPRKRRRTRO TasksTPTKTRTTTO OrganizationsOPOKOROTOO Table 1: The Organizational Metamatrix substantive meaning (e.g., the PT cell provides the assignment of Pe
9、rson- nel to Tasks), it is often useful to treat the total organizational structure in metamatrix form. On the other hand, the above table suggests another useful duality: each cell of the metamatrix corresponds to a submatrix of the combined organizational structure formed by the union of all eleme
10、nts and relations. Thus, we can where useful move between the metamatrix and combined (or “full”) adjacency matrix representations of the organization without loss of generality. Given the above representational framework, the metamatrix approach to organizational analysis proceeds by examining the
11、ways in which the requirements of the organization (e.g., its tasks and their relationships to inputs and each other) match (or fail to match) its capabilities (as embodied by relations among personnel, knowledge, resources, and external organiza- tions). As one might expect, this leaves room for a
12、wide variety of methods, many of which may depend on the context of the analysis itself.Since covering the full range of metamatrix techniques is not possible here, we instead attempt a more humble goal: to introduce you, the reader, to some of the basic methods of metamatrix analysis via a sample e
13、xample. If what you learn here serves to whet your appetite for more, then the papers cited here should provide avenues for further learning regarding this developing approach to the study of organizations. 1.2The R Statistical Computing Environment The software used here (the metamatrix package) ha
14、s been implemented for the R statistical computing environment. The best summation of R (Ihaka and Gentleman, 1996) is perhaps that off ered by Kurt Hornik in the R FAQ: R is a system for statistical computation and graphics. It con- sists of a language plus a run-time environment with graphics, a 3
15、 debugger, access to certain system functions, and the ability to run programs stored in script fi les. The design of R has been heavily infl uenced by two existing lan- guages: Becker, Chambers and Wilks S and Sussmans Scheme (http:/www.cs.indiana.edu/scheme-repository/home.html). Whereas the resul
16、ting language is very similar in appearance to S, the un- derlying implementation and semantics are derived from Scheme. Because R is really an implementation of the S language, its use should be familiar to anyone who has used environments like the original S engine, or S-PLUS (a widely-used commer
17、cial variant). While there are some user- level diff erences between the S of S-PLUS and the S of R , the distinctions are fairly minor: much code from one environment will execute directly in the other, and porting the remainder rarely requires extensive changes. A major advantage of developing in
18、R , however, is that it is freely available2 for all major platforms. Thus, code developed in R can be used by virtually anyone, even those (such as students) who may be unable or unwilling to purchase a commercial S implementation. 1.3The sna and metamatrix Packages While the “core” R software prov
19、ides a wide range of functionality, support for special-purpose applications is provided via the use of add-on packages (also known as libraries).Many of these packages are freely distributed through a network of web and FTP sites known collectively as the Compre- hensive R Archive Network (or CRAN)
20、. Among the many add-ons provided by members of the R community3are the sna and metamatrix packages (both written by the author). sna provides a library of functions for social network analysis, including node and graph-level indices, structural distance and covariance methods, structural equivalenc
21、e detection, p modeling, and network visualization. metamatrix builds on sna , providing special-purpose tools for the analysis of organizational data using the metamatrix approach. Although metamatrix requires sna for much of its functionality, the two are distributed as separate packages; this dis
22、tinction will not be of great impor- tance for this tutorial, however, and we will not dwell on the distinctions here. In practice, users can seamlessly integrate functionality from sna , 2R is part of the GNU project, and is distributed under the GNU Public License. 3In addition to the core develop
23、ment team, work on R tools is distributed among a wide community of users and developers. Users with statistical and programming expertise who benefi t from the use of R are encouraged to contribute to the project. 4 metamatrix , or any of a range of other add-on packages to meet the needs of their
24、particular analyses. In addition to the metamatrix package (used here), similar functionality has been implemented in a C-based library of data analysis routines known as NetStat (http:/legba.hss.cmu.edu/netstat). Although NetStat has been designed primarily to facilitate development of software for
25、 organiza- tional and network analysis, the library package does include several sample applications as well. In particular, the MetaMatrix user-level application can be used to compute many of the measures shown here (as well as a few which are not described within the tutorial), and interested use
26、rs are invited to compare the functionality of metamatrix with that of MetaMa- trix when deciding which software best suits their needs. 1.4A Note on Exercises Throughout this tutorial, you will fi nd sections marked with the eponym “Exercises.” These sections are included for your benefi t, and it
27、is strongly suggested that you complete all of them (even those which might appear trivial at fi rst). Many of the exercises will ask you to try variations on the demonstrations in the main sections, and/or to contemplate the implica- tions of what you have seen. To get the most out of these questio
28、ns, it is suggested that you jot down your answers before continuing; later exercises will often give you a chance to check your initial impressions against more formal analyses, feedback which is essential for training your structural intu- ition. You should also feel free to go beyond the problems
29、 as stated, trying variations on the suggested commands and using alternative approaches as they occur to you. As with physical exercise, you will get out of this what you put into it4. 2Getting Started Before moving to the analysis itself, it seems prudent to provide a bit of orientation.This section of the tutorial will introduce some conventions and helpful R commands, describe how to run R itself, and provide a walk- through of the procedures needed to load metamatrix .Should you be tempted to skip this section, resist! The subsequent examples assume that you have loaded th
