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发表于 2013-1-19 11:38:39
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,具体是那个机构的指南不清楚,我们是这么做的,供参照。
Temperature & Temperature/Humidity Mapping Guide 温度和温湿度图指南
Recently FDA regulations including HACCP, various CFR code of federal regulations, and the push to eliminate wasted time and money in fixing temperature related product failures has made Temperature and Temperature/Humidity Mapping an integral aspect of any warehouse operation.
最近,包括HACCP,各种联邦法规在内的FDA 法规,和对于降低温度相关产品安装失败所造成的时间和财力浪费的期望,使得制作温/湿度分布图成为所有仓库运行中不可或缺的一部分
Inadequately controlled environments can lead to ineffective medicines, spoiled produce, damaged materials and frequent critical equipment failures. This all ads up to wasted dollars. Fortunately the cost of monitoring large warehouses has dropped significantly over the years as temperature and temperature/humidity sensing technology has become more accurate, easier to use and more affordable.
不适当的控制环境会导致药品无效、毁坏的产品、损坏的原料,关键设备频繁的故障。这些会浪费金钱。幸运的是,由于温度或温湿度传感技术变得更精确、更容易,更经济;对大型仓库的监测费用明显下降。
Whether you are concerned about maintaining a consistent temperature in a 5,000 or 500,000 sq. ft. warehouse, you’ll want to make sure that you are using the right tools for the job and that you’re using them correctly.
无论你是否关心一个5000 或5000000 平方英尺仓库的温度均一性,你都会想要确定在你的工作中使用了一个正确的工具,并且能够正确的使用它们。
In this guide, we will discuss best practices for mapping temperature in large spaces.
在这个指南里,我们会讨论一个最好的方法,在一个大的空间里绘制温度图。
Planning Your Steps:
计划步骤
Mapping is not a one-time job, but an ongoing process that takes into account changes in seasons, HVAC/R modifications, warehouse layout modifications and any other significant changes to the warehouse environment. Proper organization and documentation are critical in maintaining compliance and consistency.
制作温/湿度分布图不是一次性的工作,而是需要考虑季节的变化,HVAC/R的改造,仓库布局的改变和任何其它对仓库环境的重大变更,人员组织和文件化工作是保持顺应性和一致性的关键。
Step 1 – Determine Critical Mapping Points
确定关键绘制点
Step 2 – Determine Sample Rate
确定采样频率
Step 3 – Establish Data Logger Criteria and Select
建立数据记录仪的标准和选型
Step 4 – Place Data Loggers at Pre Determined Points
在每一个确定的点,安置数据记录仪
Step 5 – Retrieve, download and evaluate Logged Data
收集、下载、评价采集的数据
Step 6 - Document Processes and Repeat
过程和报告的文件化
Step 7 – Data Logger Maintenance and Calibrations
数据记录仪的维护和计量
Step 8 – Remediation
纠正 Step 1 – Determine Critical Mapping Points 第1 步-确定关键绘图点
Problem Locations:
Large open spaces present a considerable challenge when working to maintain a consistent temperature or temperature/humidity level. Problem spots include: 在较大而且开放的空间里,要保持稳定的温度或温/湿度水平被认为是很有挑战性的。会出现的问题包括:
* Areas near the ceiling or exterior walls may stay warmer or cooler in response to temperatures outside. * 接近天花板和外墙的区域会受到外界温度的影响而延缓制冷和制热的效果
* Temperature levels stratify due to the fact that warmer air rises.
* 热空气上升导致温度水平分层
* Temperatures will tend to be higher near heaters. If fans are undersized or improperly placed they will be incapable of mixing the heated air effectively.
* 在靠近加热器的地方温度会升高。如果风扇太小或安装位置不合理,则它不能有效的混合热空气。 * Racking, shelving and pallet storage areas may create “hot spots” by obstructing air circulation. * 由于包装材料、货架、货盘储存区域会影响空气的循环,所以造成“热点” * Doors that are left open will affect temperature conditions. * 单向开的门会影响温度条件。
Additional Locations:
In addition to problem spots logger placement is also critical for the following locations:
另外,数据记录仪应该摆放在如下的关键位置。 * HVAC outputs
* HVAC 的出风口
* Exits to unconditioned spaces (loading docs and staging areas)
* 通向非温控区的出口(装载码头和中转存放区)
* Outside (to compare outside temperatures to internal temperatures) * 出口(比较室内和室外的温度)
* High, medium and low locations in the general storage area
* 一般存货区的高中低位。
Spacing:间隔
Studies have shown that a spacing of every 3,000 to 5,000 feet in an open warehouse plan, without walls to block airflow, is adequate enough to accurately represent readings that are meaningful. A distance of greater than every 5,000 feet may yield data that does not accurately reflect conditions in the warehouse space, while spacing data loggers closer than every 3,000 feet will result in extra data that adds no value while creating extra work.
研究表明,在一个开放的仓库里,不考虑墙和阻碍物,每3000 到5000 英尺内的温度是足够精确的了。距离超过5000 英尺,产生的数据不能真实的反映仓库的条件。如果数据记录仪的间隔小于3000 英尺,会产生额外的没有价值的数据,增加工作量。
Determination of critical mapping points should include all potential problem spots in addition to the normal storage area. Be sure to space the critical mapping points in an evenly distributed grid using every 3,000 to 5,000 feet as your spacing guide.
确定关键的绘图点,应该包括正常储存区域的所有潜在的问题点。在确定绘图点的时候,将空间平均分割,间隔为3000-5000 英尺。
Step 2 – Determining Sample Frequency 第2 步-确定采样频率
The key to determining sample frequency is to not take too many or too few samples. Too many samples will create too much data making analysis cumbersome and difficult. Too few samples will not adequately represent changes in the warehouse environment. In most warehouses, one temperature or temperature and humidity sample every 15 minutes should adequately evaluate temperature trends.
确定采样频率的关键是不要太多,也不要太少。太多的采样,会造成大量的数据,分析起来太笨重也太复杂。太少的点,不能真正的反应仓库环境的温度变化。在大多数的仓库温度或温湿度采样为每15 分钟1 次,这足以用来评价温度的趋势了。
If you think you need to take readings more frequently, consider the following:
如果你需要更多的采样频率,考虑以下的问题:
Scenario 1 假设情况1
10 data loggers sampling every 15 minutes for 1week will provide 6,720 sample points.
10 个采样器每15 分钟采样,采样1 周产生6720 个数据。
Scenario 2 假设情况2
10 data loggers sampling every minute for 1 week will provide 100,800 sample points.
10 个采样器每分钟采样,采样1 周产生100,800 个数据。
Scenario 1 will provide the same general results as Scenario 2 with 1/15th of the data and much less time spent analyzing logged data.
第一种情况与第二种情况的结果相同,但是只有第二种情况的十五分之一的数据,而且用于分析数据的时间更少。
The key here is response time. Most temperature data loggers take at least a minute to respond to changes in temperature, and in a space as large as a 50,000 sq. ft. warehouse, most changes will happen very slowly over several minutes, making frequent sampling unnecessary and wasteful.
这里的关键是响应时间,很多温度数据记录仪的温度响应时间至少为1 分钟,在一个50000 平房英尺的巨大空间里,温度变换是缓慢的,且在较长时间内发生的,高频率的采样是没有必要的也是浪费的。
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