西门子PLC教程:日期和时间DATE_AND_TIME解析

需积分: 50 13 下载量 58 浏览量 更新于2024-08-21 收藏 11.6MB PPT 举报
"西门子PLC教程,包含日期和时间DATE_AND_TIME的使用" 在西门子PLC教程中,日期和时间(DATE_AND_TIME)是编程中的一个重要概念,尤其对于自动化系统的实时监控和记录至关重要。它允许PLC存储和处理年、月、日、时、分、秒、毫秒以及星期的信息。DATE_AND_TIME数据类型占用8个字节,使用二进制补码(BCD)编码来存储这些数据,其中星期天的代码为1,依次递增到星期六的代码为7。 例如,在实际编程中,你可以创建一个变量来记录当前时间,以便在需要的时候读取和更新。这在追踪生产过程、设置定时任务或者记录事件发生的时间点时非常有用。例如,你可以设置一个定时器,当达到特定的日期和时间时触发某个动作,比如启动机器或停止生产线。 西门子PLC教程涵盖了从基础到高级的多个章节,包括: 1. 第一章简单概述了PLC的起源和发展,解释了为什么继电器控制系统逐渐被PLC取代,以及PLC的主要优点和适用场景。 2. 第二章介绍了PLC系统的特性和硬件组成,包括不同类型的PLC模块,如一体化紧凑型PLC(如S7-200系列)和模块化结构化PLC(如S7-300、S7-400系列)。 3. 第三章教授如何使用STEP7软件创建PLC工程,这是西门子PLC编程的基础工具。 4. 第四章深入学习西门子的编程语言,可能包括Ladder Diagram(梯形图)、Structured Text(结构文本)和其他编程语言。 5. 第五章涉及程序设计,包括逻辑控制、定时器、计数器的使用,以及如何编写高效、可维护的PLC程序。 6. 第六章则讲解了如何使用WinCC flexible软件创建人机界面(HMI)工程,用于监控和控制PLC系统。 通过这个教程,学习者可以全面掌握西门子PLC的使用,包括日期和时间的处理,从而实现复杂的自动化控制任务。理解DATE_AND_TIME数据类型及其在编程中的应用,对于提高PLC系统的功能和效率具有重要意义。

优化代码,并提供新脚本SELECT SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' AND is_new_customer = 1 THEN 1 ELSE 0 END) AS new_customer_count, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' AND is_new_customer = 0 THEN 1 ELSE 0 END) AS old_customer_count, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' AND is_new_customer = 1 THEN payment_amount ELSE 0 END) AS new_customer_payment_amount, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' AND is_new_customer = 0 THEN payment_amount ELSE 0 END) AS old_customer_payment_amount, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' THEN CASE WHEN category = 'A' THEN 1 ELSE 0 END ELSE 0 END) AS category_A_customer_count, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' THEN CASE WHEN category = 'A' THEN payment_amount ELSE 0 END ELSE 0 END) AS category_A_payment_amount, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' THEN CASE WHEN category = 'B' THEN 1 ELSE 0 END ELSE 0 END) AS category_B_customer_count, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' THEN CASE WHEN category = 'B' THEN payment_amount ELSE 0 END ELSE 0 END) AS category_B_payment_amount, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' THEN CASE WHEN product_id = 'P1' THEN 1 ELSE 0 END ELSE 0 END) AS product_P1_customer_count, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' THEN CASE WHEN product_id = 'P1' THEN payment_amount ELSE 0 END ELSE 0 END) AS product_P1_payment_amount FROM orders WHERE (order_date BETWEEN '2022-10-31' AND '2022-11-11') OR (order_date BETWEEN '2021-10-31' AND '2022-10-30' AND order_date NOT IN (SELECT order_date FROM orders WHERE order_date BETWEEN '2022-10-31' AND '2022-11-11')) OR (order_date BETWEEN '2021-11-12' AND '2022-10-30' AND order_date IN (SELECT order_date FROM orders WHERE order_date BETWEEN '2022-10-31' AND '2022-11-11'))

2023-05-25 上传

优化代码SELECT SUM(IF(order_date BETWEEN '2022-10-31' AND '2022-11-11' AND is_new_customer = 1, 1, 0)) AS new_customer_count, SUM(IF(order_date BETWEEN '2022-10-31' AND '2022-11-11' AND is_new_customer = 0, 1, 0)) AS old_customer_count, SUM(IF(order_date BETWEEN '2022-10-31' AND '2022-11-11' AND is_new_customer = 1, payment_amount, 0)) AS new_customer_payment_amount, SUM(IF(order_date BETWEEN '2022-10-31' AND '2022-11-11' AND is_new_customer = 0, payment_amount, 0)) AS old_customer_payment_amount, SUM(IF(order_date BETWEEN '2022-10-31' AND '2022-11-11' AND category = 'A', 1, 0)) AS category_A_customer_count, SUM(IF(order_date BETWEEN '2022-10-31' AND '2022-11-11' AND category = 'A', payment_amount, 0)) AS category_A_payment_amount, SUM(IF(order_date BETWEEN '2022-10-31' AND '2022-11-11' AND category = 'B', 1, 0)) AS category_B_customer_count, SUM(IF(order_date BETWEEN '2022-10-31' AND '2022-11-11' AND category = 'B', payment_amount, 0)) AS category_B_payment_amount, SUM(IF(order_date BETWEEN '2022-10-31' AND '2022-11-11' AND product_id = 'P1', 1, 0)) AS product_P1_customer_count, SUM(IF(order_date BETWEEN '2022-10-31' AND '2022-11-11' AND product_id = 'P1', payment_amount, 0)) AS product_P1_payment_amount FROM orders o LEFT JOIN (SELECT DISTINCT order_date FROM orders WHERE order_date BETWEEN '2022-10-31' AND '2022-11-11') d1 ON o.order_date = d1.order_date LEFT JOIN (SELECT DISTINCT order_date FROM orders WHERE order_date BETWEEN '2021-10-31' AND '2022-10-30' AND order_date NOT IN (SELECT order_date FROM orders WHERE order_date BETWEEN '2022-10-31' AND '2022-11-11')) d2 ON o.order_date = d2.order_date LEFT JOIN (SELECT DISTINCT order_date FROM orders WHERE order_date BETWEEN '2021-11-12' AND '2022-10-30' AND order_date IN (SELECT order_date FROM orders WHERE order_date BETWEEN '2022-10-31' AND '2022-11-11')) d3 ON o.order_date = d3.order_date WHERE d1.order_date IS NOT NULL OR d2.order_date IS NOT NULL OR d3.order_date IS NOT NULL;

2023-05-25 上传

优化代码SELECT SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' AND is_new_customer = 1 THEN 1 ELSE 0 END) AS new_customer_count, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' AND is_new_customer = 0 THEN 1 ELSE 0 END) AS old_customer_count, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' AND is_new_customer = 1 THEN payment_amount ELSE 0 END) AS new_customer_payment_amount, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' AND is_new_customer = 0 THEN payment_amount ELSE 0 END) AS old_customer_payment_amount, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' THEN CASE WHEN category = 'A' THEN 1 ELSE 0 END ELSE 0 END) AS category_A_customer_count, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' THEN CASE WHEN category = 'A' THEN payment_amount ELSE 0 END ELSE 0 END) AS category_A_payment_amount, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' THEN CASE WHEN category = 'B' THEN 1 ELSE 0 END ELSE 0 END) AS category_B_customer_count, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' THEN CASE WHEN category = 'B' THEN payment_amount ELSE 0 END ELSE 0 END) AS category_B_payment_amount, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' THEN CASE WHEN product_id = 'P1' THEN 1 ELSE 0 END ELSE 0 END) AS product_P1_customer_count, SUM(CASE WHEN order_date BETWEEN '2022-10-31' AND '2022-11-11' THEN CASE WHEN product_id = 'P1' THEN payment_amount ELSE 0 END ELSE 0 END) AS product_P1_payment_amount FROM orders WHERE (order_date BETWEEN '2022-10-31' AND '2022-11-11') OR (order_date BETWEEN '2021-10-31' AND '2022-10-30' AND order_date NOT IN (SELECT order_date FROM orders WHERE order_date BETWEEN '2022-10-31' AND '2022-11-11')) OR (order_date BETWEEN '2021-11-12' AND '2022-10-30' AND order_date IN (SELECT order_date FROM orders WHERE order_date BETWEEN '2022-10-31' AND '2022-11-11'))

2023-05-25 上传