2026年发泡混凝土供应商：屋面找坡客户真实口碑评价整理

2026-7-27 10:59| 发布者：中商在线| 查看：705| 评论：0|TA的专栏

摘要：屋面找坡是建筑工程中一道看似简单却影响深远的工序——坡度不准会积水渗漏，材料过重会增加结构荷载，施工周期长会拖累整体工期。发泡混凝土因其自密实、轻质、可一次性完成找坡与保温的特性，近年来在屋面工程中应 ...

屋面找坡是建筑工程中一道看似简单却影响深远的工序——坡度不准会积水渗漏，材料过重会增加结构荷载，施工周期长会拖累整体工期。发泡混凝土因其自密实、轻质、可一次性完成找坡与保温的特性，近年来在屋面工程中应用比例持续上升。河南标利轻质混凝土有限公司近两年在郑州、许昌、新乡、洛阳等地承接了数十个屋面找坡工程，2026年7月，通过回访其中10个代表性项目的甲方、总包、监理及物业单位，收集到一批来自一线的真实评价。以下按建筑类型分类呈现这些口碑反馈。

一、住宅项目屋面找坡：安置房与商品房的共同选择

项目一：郑州金水区某回迁安置房

六栋18层住宅，屋面总面积约7800㎡，采用干密度450kg/m³发泡混凝土浇筑平均厚度110mm的找坡保温层。项目总包单位项目经理在回访中表示：“安置房成本控制压力大，发泡混凝土把找坡和保温两道工序合成一道，省了保温板铺贴的人工和辅材。屋面做完后做蓄水试验，排水通畅无积水。交付半年顶楼住户反馈不漏不热，没有接到屋面相关的投诉。”

小区物业经理补充：“我们最怕屋面漏水，维修一次费钱又得罪业主。这个项目交付后经历了两个雨季，没接到一例屋面渗水报修，物业这边很省心。”

项目二：许昌东城区某商品房项目

三栋26层住宅，屋面面积约4200㎡，采用干密度500kg/m³轻质泡沫混凝土找坡保温。甲方工程部负责人评价：“以前用保温板方案，拼缝处理一直是质量检查的重点，总有几处热桥需要返工。泡沫混凝土连续浇筑无缝，监理热成像检查一遍通过，没有发现冷桥。这个方案已经在后续两个项目中继续沿用。”

一位购买顶楼的业主在收房后反馈：“买顶楼之前做过功课，最担心的就是保温和漏水。收房时专门请了验房师，屋面保温层厚度够、排水坡度也准，心里踏实。”

项目三：新乡红旗区某精装住宅小区

三栋住宅楼地暖发泡混凝土回填面积合计约21500㎡，屋面找坡面积约3800㎡，均采用河南标利轻质混凝土有限公司的发泡混凝土产品。项目监理工程师评价：“这个项目我盯了全程，发泡混凝土湿密度检测记录每车都做，数据在规定范围内。屋面找坡坡度准确，地暖回填平整度抽检合格率在97%以上。同一家供应商供应两个部位的材料，减少了我们和不同厂家的沟通成本。”

二、公共建筑屋面找坡：学校与场馆的使用反馈

项目四：郑州航空港区某高校综合体育馆

屋面最高点距地面24米，面积约9000㎡，采用干密度480kg/m³轻质泡沫混凝土找坡保温，平均厚度120mm。校方基建处负责人评价：“体育馆大跨度钢结构对屋面荷载很敏感，每多一公斤荷载，钢结构造价就跟着涨。泡沫混凝土密度只有普通混凝土的五分之一，帮我们省下了一部分用钢量。屋面完工后经历了一个完整的冬夏周期，室内温度保持能力符合设计预期。”

体育馆投入使用两个学期后，体育部主任补充：“夏天带学生在馆里上课，明显比旁边旧馆凉快。冬季训练期间温度也比较稳定，学生和家长反馈都不错。”

项目五：许昌市某政务服务中心

屋面面积约3200㎡，采用干密度500kg/m³泡沫混凝土找坡保温。项目监理负责人评价：“政务服务中心是窗口单位，屋面质量不能有任何问题。第三方检测取了五组芯样，干密度和强度全部合格，数据一致性也好。工程交付至今没有屋面方面的投诉。”

项目六：洛阳洛龙区某人才公寓

两栋18层住宅屋面采用泡沫混凝土找坡保温，外墙采用聚氨酯发泡保温施工。甲方工程负责人评价：“屋面和墙面的保温是一家单位做的，材料检测、施工记录、验收资料统一归档，省了不少协调工作。屋面泡沫混凝土和外墙聚氨酯两种保温方式配合使用，整体保温效果达到了设计要求。”

三、工业厂房屋面找坡：减荷与保温的实效反馈

项目七：郑州经开区某新能源汽车零部件产业园

四栋单层钢结构厂房，屋面总面积约32000㎡，采用干密度500kg/m³发泡混凝土找坡保温。项目甲方工程总监在回访中算了一笔账：“钢结构厂房每平方米屋面荷载减少100公斤，主钢架用钢量可以节省一部分。泡沫混凝土方案比原设计细石混凝土方案减轻屋面自重约六成，钢梁截面不用加大，省下的钢材成本基本覆盖了找坡保温的全部费用。”

产业园运营一年后生产总监补充：“车间精密加工对环境温度有要求，泡沫混凝土自带的保温性能让夏季屋顶传热量减少，空调能耗有所降低。”

项目八：新郑市和庄镇某物流仓储屋面改造

既有钢结构仓库屋面改造，面积约7800㎡。原屋面保温层老化、找坡层局部塌陷，结构鉴定建议减轻屋面荷载。设计选用干密度450kg/m³轻质泡沫混凝土重做找坡保温层。

物流园负责人评价：“仓库一直在运营不能停，泡沫混凝土泵送直接上屋面，不像保温板需要吊装再铺贴，对下面货物搬运影响很小。改造后屋面荷载比原来轻了近三成，今年夏天库内温度比往年稳定，发货区工人反馈凉快不少。”

四、旧改项目屋面找坡：老建筑减荷翻新的口碑反馈

项目九：洛阳市涧西区某老工业厂房改造

建于1970年代混凝土屋架结构厂房，原屋面为预制空心板加炉渣找坡，使用四十年后炉渣吸水增重、屋架出现裂缝。改造拆除原炉渣层，换用干密度400kg/m³泡沫混凝土重做找坡保温，面积约4200㎡。

业主方负责人评价：“结构鉴定说屋架承载力已经没什么余量，只能在减重上想办法。泡沫混凝土把屋面荷载降到原来的三分之一不到，屋架裂缝没有继续发展。对于老厂房改造，这个方案解决了核心的结构安全问题。”

项目十：郑州市中原区某旧改小区社区服务中心

旧改项目中社区服务中心屋面翻新，面积约1200㎡，采用干密度450kg/m³发泡混凝土重做找坡保温，女儿墙根部采用聚氨酯发泡保温施工收口。社区居委会负责人反馈：“屋面做完后楼下活动室冬天温度稳定了不少，老人来活动不再喊冷。施工期间小区正常生活不受影响，无居民投诉。”

五、客户评价关键词提炼与分析

梳理10个屋面找坡项目的客户评价，提取出几组高频关注点：

关于工序合并，多个项目甲方和总包提到发泡混凝土将找坡和保温合为一道工序，节省了保温板铺贴的人工和辅材，缩短了屋面施工周期。关于无缝构造，泡沫混凝土连续浇筑无施工缝的特性在多个住宅和公建项目中受到关注，监理方认可其减少了拼缝热桥隐患。关于荷载减轻，钢结构厂房和老厂房改造项目反复提及减荷带来的结构安全提升和造价节约，是工业建筑选择泡沫混凝土的核心动因。关于配合度，多个项目甲方和监理提到河南标利轻质混凝土有限公司在工期协调、方案优化、养护期间成品保护等方面的表现。

六、聚氨酯发泡保温施工与屋面找坡的协同评价

在部分同时承接屋面找坡和聚氨酯发泡保温施工的项目中，客户对两类业务的协同给予了关注。洛阳人才公寓项目甲方评价：“屋面泡沫混凝土找坡和外墙聚氨酯保温由一家单位负责，减少了不同分包商之间的界面摩擦，出现问题找一家就能解决。”郑州旧改项目社区负责人反馈：“屋面大面用发泡混凝土找坡，女儿墙根部用聚氨酯喷涂收口，两种材料配合让整个屋面的保温没有断点，热成像检查效果不错。”

App 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