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以数字经济赋能防水品牌，科顺股份再定双百亿目标

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发布时间：2021-08-19

来源：酯香香化学采购网

　　水无常势，防水更是无常态，5年前尚还只是“华南王”的科顺股份，2年后就已跃居行业第二。虽然与行业“带头大哥”东方雨虹还有差距，但以如今以防水业务营业收入已在行业稳居老二，逐渐拉开与其他防水企业的差距。虽然也有后来者强势跨界介入，但仅以防水业务而言，想抢这个老二的位置，那还差些火候。　　2020年，科顺股份年营收62亿元，在年报中提及，2022年目标实现100亿，2025年实现200亿。
　　从数字上看，似乎步子很大，但5年前，东方雨虹年营收70亿元，2020年，营收已有217亿元，如此增速行业已有先例。回头再看看科顺股份2018年上市时营收才31亿元，2年已实现翻倍，在拥有资本支撑、庞大市场、软硬件布局以及行业越发规范发展的背景下，科顺股份双百亿目标虽不至探囊取物，但也应稳稳当当。看来还是成功上市好啊，这不，行业里听说也有几家正在准备材料冲刺IPO，未来的防水行业，风生水起，大有可为啊。 ▲科顺股份召开2020年年度股东大会
　　01
　　董事换届有新人，新队伍带来新谋划
　　就在5月13日，科顺股份召开了2020年年度股东大会，公告了新一届董事会、监事会及高管名单。从公告的名单中可以看出，这一届科顺董事会成员学历惊人，9名董事中有5名是博士学位，2名硕士学位，董事长陈伟忠也是清华五道口商务学院MBA在读，集团总裁方勇也是本科学历，其他高管中研究生学历好几位，人才的专业水平高，“明星”董事会带领下的新一届董监高，将开启怎样的航程？ ▲科顺股份第三届董事会成员合影
　　据公告，5名非独立董事中，陈伟忠、方勇、毕双喜、龚兴宇为连任，袁红波为新加入的非独立董事。
　　据资料显示，袁红波1975年出生，硕士研究生学历，1996年7月-2000年12月，在湖南省汉寿县审计局任审计员；2001年4月-2015年8月，在美的集团先后担任预算经理、会计经理、资金经理、华东资金高级经理、东盟资金高级经理、集团融资总监、小贷公司总经理；2016-2020年间，担任慧聪家电集团、雷士照明集团、雅迪科技集团财务总监。
　　据了解，袁红波在今年入职科顺，接替卢嵩担任公司副总裁、财务中心负责人职务。袁红波履历丰富，能力突出，在90年代放弃公务员铁饭碗下海，其勇气、魄力和前瞻性可见一斑。在美的从预算经理一直做到融资总监、小贷公司总经理，他对于财务数据、资本运营有很强的敏锐度和丰富经验，从担任过的职位来看，袁红波熟悉审计数据及流程，从事过预算及会计等财务管理工作，对于资本运作有很强的能力。从最新财报看来，科顺股份对于未来发展有着强大的野心，同时也在做着相应的布局，袁红波的加入，或将可以推动科顺股份整合外部资源这一战略，更好的发挥财务及资本对于企业发展的助推作用。科顺股份第三届非独立董事（左起袁红波、龚兴宇、陈伟忠、方勇、毕双喜）
　　据知情人透露，之前离任的董事赵军，和本次卸任的卢嵩，都并未真正离开科顺，而是换在科顺控股任职，负责其他投资项目，换了一种方式继续为集团效力。科顺股份上市已第四年，其中四位董事成员：董事长陈伟忠、集团总裁方勇、财务负责人卢嵩、董秘毕双喜从未减持过公司股票，其中陈伟忠和方勇、毕双喜，还在二级市场中增持了企业股票，可想他们对于企业未来发展之看好。如此调整和人才布局后的科顺股份又在下什么棋，陈老板又在布局哪些战略规划，我们拭目以待。
　　02
　　本届学霸独董名单透露哪些信息？
　　科顺股份独立董事因任期届满换届，新提名和通过了解云川、谭有超、曾德民、张学军四位为第三届董事会独立董事。
　　资料显示，谭有超为暨南大学副教授、南开大学博士、香港中文大学博士后、英国 Surrey 大学访问博士生、新家坡南洋理工大学访问学者，前瞻性非财务信息质量研究项目主持人；
　　张学军现任北京市金杜律师事务所高级顾问，兼任深圳大学法学院特聘教授、广东外语外贸大学法学院硕士生导师、华南理工大学法学院特聘教授等；
　　解云川为材料学(高分子)博士，西安交通大学化学学院教授、博士生导师，从事高储能电介质、高分子压电材料、高性能封装材料相关领域的科研与教学工作；
　　曾德民是中国建筑科学研究院结构工程专业博士，2014年评为“新世纪百千万人才工程”国家级人选、有突出贡献中青年专家，曾任中国建筑标准设计院抗震技术中心副主任，现任北京建筑大学土木学院教授，从事工程隔震减震及抗震技术领域研究。 ▲科顺股份独立董事合影
　　与上一届独立董事相比，此届独董成员跳出了防水行业，与科顺股份在年报中公布的发展战略呈现关联。据科顺年报，为实现公司百亿目标，公司制定了详细经营规划，其中包括“整合外部资源，开拓新的业绩增长点”，拟收购丰泽股份就是重要体现之一。独董中，曾德民主研方向为隔震减震及抗震技术，更是减震行业的专家，这也是科顺股份拟收购的的丰泽股份的核心业务。　　就在5月12日，国务院总理李克强5月12日主持召开国务院常务会议，会议通过《建设工程抗震管理条例（草案）》，明确新建、改扩建建设工程抗震设防达标要求及措施，规范已建成建设工程的抗震鉴定、加固和维护，加强农村建设工程抗震设防。压实责任，强化监管，加大处罚力度，确保工程质量，保障人民生命财产安全，相信减震行业的发展又将迎来井喷式的增长，科顺的早就提前布局，陈老板战略很高啊。另一位独董解云川博士为材料学（高分子）博士，也能看出科顺股份对于高分子防水材料的重视，高分子类防水材料的市场这几年都呈现出较大幅度的增长趋势，想必科顺也是希望在此继续加强发力。
　　值得关注的是，四名独董全部博士学位，从事工作领域包括财务、律法、大建材等。虽然上市企业独董一般都为社会名流，但全是博士的独董团也非常少见。华丽阵容，“学霸团队”，此举彰显了科顺股份科学、高质量发展的决心，也能体现其“技术科顺”经营理念的践行。自上市后，科顺股份动作频频，无论在防水市场还是投资市场，都给出了积极信号。企业规模和市场占有率稳步提升，生产和人才布局快速完善，组织结构和企业管理越趋一流企业。在过去，大家都视科顺为“学习者”，但如今科顺股份发展步伐和行动，以及本届董事会成员选择看来，它拥有着明显属于自己的核心发展思路和规划。
　　03
　　天时地利人和，双百亿目标值得期待
　　天时地利人和，三者有其二，则大事可成。
　　中国建筑防水市场广阔，国内建筑防水行业市场容量在 2000亿元以上，地产及基建需求持续旺盛，同时，地产需求稳定且向头部集中，基建投资增加，防水需求逐步释放，“十四五”行业高质量发展共识发布，防水标准和要求在规范上有了革命性提升。
　　这些对于科顺股份而言是得天时，防水头部企业以及坚持走高质量发展的企业拥有了突破发展的机会。
　　科顺股份总部在顺德，是中国制造业重镇，繁荣的市场经济以及优越的创业环境，聚集了众多优秀的上下游及投资领域企业，吸引全国人才涌入；同时，科顺股份在全国布局10座生产基地，诸多销售分子公司及服务网点，这是科顺股份的地利。 ▲科顺股份董事长陈伟忠
　　从这届董事会成员的构成，也越发能看出“人和”态势。高管团队稳定，各主要部门负责人入职时间都有近10年或以上。陈伟忠先生一手创办科顺，但很早就脱离家族式管理模式，是行业中最早引入职业经理人管理的企业。陈伟忠先生为人一向低调，但却极具前瞻性眼光，在每一次布局、发展选择上都能看出他的格局与谋略。现任总裁方勇，就是最早引入的职业经理人之一，行事风格刚毅果断，综合能力强大，无论在业务模式、企业管理、品牌建设等方面都有见地。陈伟忠与方勇搭档合作已有20年，个性优劣互补，合作极为默契，是行业中为数不多的黄金搭档。在企业发展沉浮中，两人始终坚定同行，每一次企业的重大选择背后，都有这对“黄金搭档”的默契和协手，房谋杜断，可谓行业佳话，两人的合作，也成就了科顺股份的快速发展。
　　本届董事会继续任命方勇为集团总裁，在方总的高管组阁中，不难看出，方总有了一些变化，不在一味的用曾经的业务骨干和部下，而是更注重人才质量，可谓是不忘老臣，培养新人，空降高人。 ▲科顺股份高管团队合影
　　本届新任的高管中，有集团元老副总裁毕双喜（分管董秘办）、龚兴宇博士（分管研发）、汪显俊（分管采购和信息）、陈冬青（分管销售）为连任高管，他们都是从基层成长起来的干部，其中陈冬青，更是从当年的北京分公司前台逆袭成长为科顺股份上市敲钟人，分管企业工建集团销售工作，业绩增速有目共睹。本届组阁中的副总裁段正之（分管生产）、叶吉（分管应用技术）两人均是拥有硕士学位的80后，入职科顺时间较长，属于内部提拔的高管干部，这些人才成长的背后看到了科顺内部晋升通道很宽，企业造血功能不错。本届新引入董事、副总裁、财务负责人袁红波和集团副总裁、人力负责人刘杉等属于空降高管干部，企业及时补充人才短板，想必是看中这两位在各自领域有丰富的从业经验及优秀成绩，从公告的信息来看，袁红波和刘杉都在美的集团服务过，都是美的这家世界五百强企业为当地经济发展的贡献人才。近年来，科顺股份高管团队不断丰富完善，从内部了解到，除了公告的董监高以外，企业内部还有人才干部的培养机制，其中老员工赵蓉（现任总裁办主任）、余婉青（董事长办公室主任兼市场总监）、民建集团总裁兼科顺修缮集团总裁徐汝意等优秀人才均已被定为是企业管理合伙人，想必在担负本职工作的同时，也有很多管理工作。一个企业的成功上市和后期发展，其管理团队的稳定与否，一直也是业内和资本市场关注的焦点，从这个角度看，科顺股份新一届董监高的任命的出台，势必又是一次新的出发，百亿目标正在靠近。　　看科顺高管们的朋友圈，除了企业新闻以外，不难发现，很多董事会成员与高管团队都是运动达人，还有好几位都是马拉松跑者。科顺股份一直畅行马拉松文化，全国各地都有内部奋斗者跑团，忙碌工作的同时践行运动、健康文化，真是赚钱、养生两不误。其中董秘毕总、总裁方总都是马拉松精英选手，并鼓励员工养成良好工作、生活习惯，打造专业、具有活力的管理团队。人才好，企业才好，相信在这样健康、积极进取的团队的带领下，企业发展一定可以蒸蒸日上，基业长青！
　　2025年实现200亿收入这对于科顺可是不小的挑战，但对于“天时地利人和”三者皆占的科顺而言，还是值得期待。市场变幻莫测，但具有前瞻性眼光，坚持长远发展，不断自我革新者始终站在怒潮之上。在时代的浪尖，总需要坚定和勇敢的挑战者。中国建筑防水市场如此广阔，但行业发展问题依然存在，我们期望行业更光明的未来，也期待行业的领头羊们承担更多责任。科顺股份正以守正出新的态势，持续快速发展，新一届领导班子将能为科顺股份的高质量发展提供思路和行动，为防水行业再造发展神话。 ▲科顺股份第二届、第三届董监高团队合影

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[ DB ] CONNECT:[ UseTime:0.000323s ] mysql:host=127.0.0.1;port=3306;dbname=yzncms;charset=utf8
[ SQL ] SHOW COLUMNS FROM `yzn_poster` [ RunTime:0.001056s ]
[ SQL ] SELECT * FROM `yzn_poster` WHERE `cate_id` = 99 AND `p_c_id` = 52 AND `status` = 1 LIMIT 1 [ RunTime:0.000353s ]
[ SQL ] SELECT * FROM `yzn_poster` WHERE `cate_id` = 99 AND `p_c_id` = 55 AND `status` = 1 LIMIT 1 [ RunTime:0.000224s ]
[ SQL ] SHOW COLUMNS FROM `yzn_goods_property` [ RunTime:0.001073s ]
[ SQL ] SELECT `g`.`name`,`p`.`price`,`p`.`unit`,`p`.`type`,`p`.`thumb`,p.id as p_id,`p`.`value`,`p`.`is_where`,`p`.`sku_unit`,`p`.`repeat_type`,`p`.`goods_id` FROM `yzn_goods_property` `p` LEFT JOIN `yzn_goods` `g` ON `p`.`goods_id`=`g`.`id` WHERE `p`.`status` = 1 AND `p`.`is_del` = 0 AND `g`.`is_del` = 0 AND `p`.`is_where` LIKE '%1%' AND `p`.`recommend` = 1 GROUP BY `p`.`goods_id`,`p`.`repeat_type` ORDER BY `p`.`sort` DESC,`g`.`id` DESC LIMIT 0,15 [ RunTime:0.002371s ]
[ SQL ] SHOW COLUMNS FROM `yzn_goods_category` [ RunTime:0.000854s ]
[ SQL ] SELECT * FROM `yzn_goods_category` WHERE `hot_search` = 1 AND `status` = 1 ORDER BY `listorder` ASC,`id` DESC [ RunTime:0.000403s ]
[ SQL ] SELECT * FROM `yzn_goods_category` WHERE `is_show` > 0 AND `status` = 1 ORDER BY `listorder` ASC [ RunTime:0.000271s ]
[ SQL ] SELECT * FROM `yzn_goods_category` WHERE `id` IN (1,2,7,16,17,34,92,95,38) [ RunTime:0.000214s ]
[ SQL ] SELECT `id`,`catname` FROM `yzn_goods_category` WHERE `pid` = 1 AND `status` = 1 ORDER BY `listorder` ASC,`id` DESC [ RunTime:0.000189s ]
[ SQL ] SELECT `id`,`catname` FROM `yzn_goods_category` WHERE `pid` = 2 AND `status` = 1 ORDER BY `listorder` ASC,`id` DESC [ RunTime:0.000169s ]
[ SQL ] SELECT `id`,`catname` FROM `yzn_goods_category` WHERE `pid` = 7 AND `status` = 1 ORDER BY `listorder` ASC,`id` DESC [ RunTime:0.000165s ]
[ SQL ] SELECT `id`,`catname` FROM `yzn_goods_category` WHERE `pid` = 16 AND `status` = 1 ORDER BY `listorder` ASC,`id` DESC [ RunTime:0.000163s ]
[ SQL ] SELECT `id`,`catname` FROM `yzn_goods_category` WHERE `pid` = 17 AND `status` = 1 ORDER BY `listorder` ASC,`id` DESC [ RunTime:0.000167s ]
[ SQL ] SELECT `id`,`catname` FROM `yzn_goods_category` WHERE `pid` IN (34,92) AND `status` = 1 ORDER BY `listorder` ASC,`id` DESC [ RunTime:0.000167s ]
[ SQL ] SELECT `id`,`catname` FROM `yzn_goods_category` WHERE `pid` IN (95,38) AND `status` = 1 ORDER BY `listorder` ASC,`id` DESC [ RunTime:0.000169s ]
[ SQL ] SELECT `id`,`catname` FROM `yzn_goods_category` WHERE `pid` = 1 AND `status` = 1 [ RunTime:0.000149s ]
[ SQL ] SELECT * FROM `yzn_goods_category` WHERE `status` = 1 AND `id` = 1 [ RunTime:0.000153s ]
[ SQL ] SELECT `id` FROM `yzn_goods_category` WHERE `status` = 1 AND ( arrparentid like '0,1,%' ) [ RunTime:0.000173s ]
[ SQL ] SHOW COLUMNS FROM `yzn_goods` [ RunTime:0.000598s ]
[ SQL ] SELECT `g`.`name`,p.id as p_id,`p`.`price`,`p`.`type`,`p`.`thumb`,`p`.`unit`,`p`.`is_where`,`p`.`goods_id`,`p`.`repeat_type` FROM `yzn_goods` `g` LEFT JOIN `yzn_goods_property` `p` ON `p`.`goods_id`=`g`.`id` WHERE `p`.`status` = 1 AND `p`.`is_del` = 0 AND `g`.`is_del` = 0 AND `p`.`is_where` LIKE '%1%' AND `g`.`cate_id` IN (25,26,29,30,48,1) AND `p`.`hot_sale` = '1' GROUP BY `p`.`repeat_type`,`p`.`goods_id` ORDER BY `p`.`sort` DESC,`p`.`id` DESC LIMIT 0,10 [ RunTime:0.000977s ]
[ SQL ] SELECT `id`,`catname` FROM `yzn_goods_category` WHERE `pid` = 2 AND `status` = 1 [ RunTime:0.000203s ]
[ SQL ] SELECT * FROM `yzn_goods_category` WHERE `status` = 1 AND `id` = 2 [ RunTime:0.000167s ]
[ SQL ] SELECT `id` FROM `yzn_goods_category` WHERE `status` = 1 AND ( arrparentid like '0,2,%' ) [ RunTime:0.000151s ]
[ SQL ] SELECT `g`.`name`,p.id as p_id,`p`.`price`,`p`.`type`,`p`.`thumb`,`p`.`unit`,`p`.`is_where`,`p`.`goods_id`,`p`.`repeat_type` FROM `yzn_goods` `g` LEFT JOIN `yzn_goods_property` `p` ON `p`.`goods_id`=`g`.`id` WHERE `p`.`status` = 1 AND `p`.`is_del` = 0 AND `g`.`is_del` = 0 AND `p`.`is_where` LIKE '%1%' AND `g`.`cate_id` IN (42,43,2) AND `p`.`hot_sale` = '1' GROUP BY `p`.`repeat_type`,`p`.`goods_id` ORDER BY `p`.`sort` DESC,`p`.`id` DESC LIMIT 0,10 [ RunTime:0.000896s ]
[ SQL ] SELECT `id`,`catname` FROM `yzn_goods_category` WHERE `pid` = 7 AND `status` = 1 [ RunTime:0.000170s ]
[ SQL ] SELECT * FROM `yzn_goods_category` WHERE `status` = 1 AND `id` = 7 [ RunTime:0.000158s ]
[ SQL ] SELECT `id` FROM `yzn_goods_category` WHERE `status` = 1 AND ( arrparentid like '0,7,%' ) [ RunTime:0.000150s ]
[ SQL ] SELECT `g`.`name`,p.id as p_id,`p`.`price`,`p`.`type`,`p`.`thumb`,`p`.`unit`,`p`.`is_where`,`p`.`goods_id`,`p`.`repeat_type` FROM `yzn_goods` `g` LEFT JOIN `yzn_goods_property` `p` ON `p`.`goods_id`=`g`.`id` WHERE `p`.`status` = 1 AND `p`.`is_del` = 0 AND `g`.`is_del` = 0 AND `p`.`is_where` LIKE '%1%' AND `g`.`cate_id` IN (10,14,32,33,49,50,51,52,53,54,55,56,57,58,96,97,7) AND `p`.`hot_sale` = '1' GROUP BY `p`.`repeat_type`,`p`.`goods_id` ORDER BY `p`.`sort` DESC,`p`.`id` DESC LIMIT 0,10 [ RunTime:0.000913s ]
[ SQL ] SELECT `id`,`catname` FROM `yzn_goods_category` WHERE `pid` = 16 AND `status` = 1 [ RunTime:0.000174s ]
[ SQL ] SELECT * FROM `yzn_goods_category` WHERE `status` = 1 AND `id` = 16 [ RunTime:0.000172s ]
[ SQL ] SELECT `id` FROM `yzn_goods_category` WHERE `status` = 1 AND ( arrparentid like '0,16,%' ) [ RunTime:0.000163s ]
[ SQL ] SELECT `g`.`name`,p.id as p_id,`p`.`price`,`p`.`type`,`p`.`thumb`,`p`.`unit`,`p`.`is_where`,`p`.`goods_id`,`p`.`repeat_type` FROM `yzn_goods` `g` LEFT JOIN `yzn_goods_property` `p` ON `p`.`goods_id`=`g`.`id` WHERE `p`.`status` = 1 AND `p`.`is_del` = 0 AND `g`.`is_del` = 0 AND `p`.`is_where` LIKE '%1%' AND `g`.`cate_id` IN (59,60,61,62,63,16) AND `p`.`hot_sale` = '1' GROUP BY `p`.`repeat_type`,`p`.`goods_id` ORDER BY `p`.`sort` DESC,`p`.`id` DESC LIMIT 0,10 [ RunTime:0.000860s ]
[ SQL ] SELECT `id`,`catname` FROM `yzn_goods_category` WHERE `pid` = 17 AND `status` = 1 [ RunTime:0.000170s ]
[ SQL ] SELECT * FROM `yzn_goods_category` WHERE `status` = 1 AND `id` = 17 [ RunTime:0.000155s ]
[ SQL ] SELECT `id` FROM `yzn_goods_category` WHERE `status` = 1 AND ( arrparentid like '0,17,%' ) [ RunTime:0.000167s ]
[ SQL ] SELECT `g`.`name`,p.id as p_id,`p`.`price`,`p`.`type`,`p`.`thumb`,`p`.`unit`,`p`.`is_where`,`p`.`goods_id`,`p`.`repeat_type` FROM `yzn_goods` `g` LEFT JOIN `yzn_goods_property` `p` ON `p`.`goods_id`=`g`.`id` WHERE `p`.`status` = 1 AND `p`.`is_del` = 0 AND `g`.`is_del` = 0 AND `p`.`is_where` LIKE '%1%' AND `g`.`cate_id` IN (40,64,65,66,67,68,100,17) AND `p`.`hot_sale` = '1' GROUP BY `p`.`repeat_type`,`p`.`goods_id` ORDER BY `p`.`sort` DESC,`p`.`id` DESC LIMIT 0,10 [ RunTime:0.000863s ]
[ SQL ] SELECT `id`,`catname` FROM `yzn_goods_category` WHERE `pid` = 34 AND `status` = 1 [ RunTime:0.000176s ]
[ SQL ] SELECT `id`,`catname` FROM `yzn_goods_category` WHERE `pid` = 92 AND `status` = 1 [ RunTime:0.000141s ]
[ SQL ] SELECT * FROM `yzn_goods_category` WHERE `status` = 1 AND `id` IN (34,92) [ RunTime:0.000182s ]
[ SQL ] SELECT `id` FROM `yzn_goods_category` WHERE `status` = 1 AND ( arrparentid like '0,34,%' or arrparentid like '0,92,%' ) [ RunTime:0.000179s ]
[ SQL ] SELECT `g`.`name`,p.id as p_id,`p`.`price`,`p`.`type`,`p`.`thumb`,`p`.`unit`,`p`.`is_where`,`p`.`goods_id`,`p`.`repeat_type` FROM `yzn_goods` `g` LEFT JOIN `yzn_goods_property` `p` ON `p`.`goods_id`=`g`.`id` WHERE `p`.`status` = 1 AND `p`.`is_del` = 0 AND `g`.`is_del` = 0 AND `p`.`is_where` LIKE '%1%' AND `g`.`cate_id` IN (35,70,71,93,94,34,92) AND `p`.`hot_sale` = '1' GROUP BY `p`.`repeat_type`,`p`.`goods_id` ORDER BY `p`.`sort` DESC,`p`.`id` DESC LIMIT 0,10 [ RunTime:0.000852s ]
[ SQL ] SELECT `id`,`catname` FROM `yzn_goods_category` WHERE `pid` = 95 AND `status` = 1 [ RunTime:0.000169s ]
[ SQL ] SELECT `id`,`catname` FROM `yzn_goods_category` WHERE `pid` = 38 AND `status` = 1 [ RunTime:0.000144s ]
[ SQL ] SELECT * FROM `yzn_goods_category` WHERE `status` = 1 AND `id` IN (95,38) [ RunTime:0.000198s ]
[ SQL ] SELECT `id` FROM `yzn_goods_category` WHERE `status` = 1 AND ( arrparentid like '0,38,%' or arrparentid like '0,95,%' ) [ RunTime:0.000167s ]
[ SQL ] SELECT `g`.`name`,p.id as p_id,`p`.`price`,`p`.`type`,`p`.`thumb`,`p`.`unit`,`p`.`is_where`,`p`.`goods_id`,`p`.`repeat_type` FROM `yzn_goods` `g` LEFT JOIN `yzn_goods_property` `p` ON `p`.`goods_id`=`g`.`id` WHERE `p`.`status` = 1 AND `p`.`is_del` = 0 AND `g`.`is_del` = 0 AND `p`.`is_where` LIKE '%1%' AND `g`.`cate_id` IN (47,74,75,76,77,78,79,80,81,82,83,99,95,38) AND `p`.`hot_sale` = '1' GROUP BY `p`.`repeat_type`,`p`.`goods_id` ORDER BY `p`.`sort` DESC,`p`.`id` DESC LIMIT 0,10 [ RunTime:0.000868s ]
[ SQL ] SHOW COLUMNS FROM `yzn_article` [ RunTime:0.000910s ]
[ SQL ] SELECT `A`.*,`AD`.*,`C`.`catname` FROM `yzn_article` `A` INNER JOIN `yzn_article_data` `AD` ON `A`.`id`=`AD`.`did` INNER JOIN `yzn_category` `C` ON `C`.`id`=`A`.`catid` WHERE `A`.`id` = 1914 AND `A`.`status` = 1 LIMIT 1 [ RunTime:0.000533s ]
[ SQL ] SHOW COLUMNS FROM `yzn_category` [ RunTime:0.000538s ]
[ SQL ] SELECT `id` FROM `yzn_category` WHERE `parentid` = 35 AND `status` = 1 [ RunTime:0.000162s ]
[ SQL ] SELECT `id` FROM `yzn_category` WHERE `parentid` IN (36,37,38,39,40,41,42) AND `status` = 1 [ RunTime:0.000158s ]
[ SQL ] SELECT `id` FROM `yzn_category` WHERE `parentid` = 43 AND `status` = 1 [ RunTime:0.000133s ]
[ SQL ] SELECT `id` FROM `yzn_category` WHERE `parentid` IN (44,45,46,47,48,49,50) AND `status` = 1 [ RunTime:0.000136s ]
[ SQL ] SELECT `id` FROM `yzn_category` WHERE `parentid` = 6 AND `status` = 1 [ RunTime:0.000123s ]
[ DB ] CONNECT:[ UseTime:0.000261s ] mysql:host=127.0.0.1;port=3306;dbname=yzncms;charset=utf8
[ SQL ] SELECT `A`.`id`,`A`.`title` FROM `yzn_article` `A` INNER JOIN `yzn_category` `C` ON `C`.`id`=`A`.`catid` WHERE `A`.`status` = 1 AND `A`.`catid` IN (35,36,37,38,39,40,41,42) ORDER BY `A`.`flag` DESC,`A`.`listorder` ASC,`A`.`updatetime` DESC [ RunTime:0.021502s ]
[ SQL ] UPDATE `yzn_article` SET `hits` = `hits` + 1 WHERE `id` = 1914 [ RunTime:0.000363s ]
[ SQL ] SELECT * FROM `yzn_poster` WHERE `cate_id` = 10 AND `p_c_id` = 41 ORDER BY `listorder` ASC LIMIT 4 [ RunTime:0.000404s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `yzn_article` `a` INNER JOIN `yzn_category` `c` ON `a`.`catid`=`c`.`id` WHERE `catid` = 38 AND `a`.`status` = 1 [ RunTime:0.002760s ]
[ SQL ] SELECT `a`.*,`c`.`catname` FROM `yzn_article` `a` INNER JOIN `yzn_category` `c` ON `a`.`catid`=`c`.`id` WHERE `catid` = 38 AND `a`.`status` = 1 ORDER BY `flag` DESC,`listorder` ASC,`updatetime` DESC LIMIT 0,6 [ RunTime:0.004769s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `yzn_article` `a` INNER JOIN `yzn_category` `c` ON `a`.`catid`=`c`.`id` WHERE `catid` = 37 AND `a`.`status` = 1 [ RunTime:0.002727s ]
[ SQL ] SELECT `a`.*,`c`.`catname` FROM `yzn_article` `a` INNER JOIN `yzn_category` `c` ON `a`.`catid`=`c`.`id` WHERE `catid` = 37 AND `a`.`status` = 1 ORDER BY `flag` DESC,`listorder` ASC,`updatetime` DESC LIMIT 0,6 [ RunTime:0.005611s ]