add description about backtick in data model

src/UserGuide/Master/Tree/Background-knowledge/Data-Model-and-Terminology_apache.md

@@ -33,6 +33,8 @@ IoTDB offers two data modeling syntaxes—tree model and table model, each with
 
 **Tree Model**: It manages data points as objects, with each data point corresponding to a time series. The data point names, segmented by dots, form a tree-like directory structure that corresponds one-to-one with the physical world, making the read and write operations on data points straightforward and intuitive.
 
+> When constructing tree model [paths](../Basic-Concept/Operate-Metadata_apache.md#4-path-query), if node naming may include non-standard characters or special symbols, it is recommended to implement a backtick encapsulation strategy for all hierarchical nodes. This approach effectively mitigates issues such as probe registration failures and data write interruptions caused by character parsing errors, ensuring the accuracy of path identifiers in syntax parsing.
+
 **Table Model**: It is recommended to create a table for each type of device. The collection of physical quantities from devices of the same type shares certain commonalities (such as the collection of temperature and humidity physical quantities), allowing for flexible and rich data analysis.
 
 ### 2.1 Model Characteristics

src/UserGuide/Master/Tree/Background-knowledge/Data-Model-and-Terminology_timecho.md

@@ -33,6 +33,8 @@ IoTDB offers two data modeling syntaxes—tree model and table model, each with
 
 **Tree Model**: It manages data points as objects, with each data point corresponding to a time series. The data point names, segmented by dots, form a tree-like directory structure that corresponds one-to-one with the physical world, making the read and write operations on data points straightforward and intuitive.
 
+> When constructing tree model [paths](../Basic-Concept/Operate-Metadata_timecho.md#4-path-query), if node naming may include non-standard characters or special symbols, it is recommended to implement a backtick encapsulation strategy for all hierarchical nodes. This approach effectively mitigates issues such as probe registration failures and data write interruptions caused by character parsing errors, ensuring the accuracy of path identifiers in syntax parsing.
+
 **Table Model**: It is recommended to create a table for each type of device. The collection of physical quantities from devices of the same type shares certain commonalities (such as the collection of temperature and humidity physical quantities), allowing for flexible and rich data analysis.
 
 ### 2.1 Model Characteristics

src/UserGuide/latest/Background-knowledge/Data-Model-and-Terminology_apache.md

@@ -33,6 +33,8 @@ IoTDB offers two data modeling syntaxes—tree model and table model, each with
 
 **Tree Model**: It manages data points as objects, with each data point corresponding to a time series. The data point names, segmented by dots, form a tree-like directory structure that corresponds one-to-one with the physical world, making the read and write operations on data points straightforward and intuitive.
 
+> When constructing tree model [paths](../Basic-Concept/Operate-Metadata_apache.md#4-path-query), if node naming may include non-standard characters or special symbols, it is recommended to implement a backtick encapsulation strategy for all hierarchical nodes. This approach effectively mitigates issues such as probe registration failures and data write interruptions caused by character parsing errors, ensuring the accuracy of path identifiers in syntax parsing.
+
 **Table Model**: It is recommended to create a table for each type of device. The collection of physical quantities from devices of the same type shares certain commonalities (such as the collection of temperature and humidity physical quantities), allowing for flexible and rich data analysis.
 
 ### 2.1 Model Characteristics

src/UserGuide/latest/Background-knowledge/Data-Model-and-Terminology_timecho.md

@@ -33,6 +33,8 @@ IoTDB offers two data modeling syntaxes—tree model and table model, each with
 
 **Tree Model**: It manages data points as objects, with each data point corresponding to a time series. The data point names, segmented by dots, form a tree-like directory structure that corresponds one-to-one with the physical world, making the read and write operations on data points straightforward and intuitive.
 
+> When constructing tree model [paths](../Basic-Concept/Operate-Metadata_timecho.md#4-path-query), if node naming may include non-standard characters or special symbols, it is recommended to implement a backtick encapsulation strategy for all hierarchical nodes. This approach effectively mitigates issues such as probe registration failures and data write interruptions caused by character parsing errors, ensuring the accuracy of path identifiers in syntax parsing.
+
 **Table Model**: It is recommended to create a table for each type of device. The collection of physical quantities from devices of the same type shares certain commonalities (such as the collection of temperature and humidity physical quantities), allowing for flexible and rich data analysis.
 
 ### 2.1 Model Characteristics

src/zh/UserGuide/Master/Tree/Background-knowledge/Data-Model-and-Terminology_apache.md

@@ -33,6 +33,8 @@ IoTDB 提供了两种数据建模方式——树模型和表模型，其特点
 
 **树模型**：以测点为对象进行管理，每个测点对应一条时间序列，测点名按`.`分割可形成一个树形目录结构，与物理世界一一对应，对测点的读写操作简单直观。
 
+> 在构建树模型[路径](../Basic-Concept/Operate-Metadata_apache.md#4-路径查询)时，节点命名若存在包含非标准字符或特殊符号的可能性，则建议对所有层级节点实施反引号封装策略。这样可以有效规避因字符解析异常导致的测点注册失败及数据写入中断问题，确保路径标识符在语法解析层面的准确性。
+
 **表模型**：推荐为每类设备创建一张表，同类设备的物理量采集都具备一定共性（如都采集温度和湿度物理量），数据分析灵活丰富。
 
 ### 2.1 模型特点

src/zh/UserGuide/Master/Tree/Background-knowledge/Data-Model-and-Terminology_timecho.md

@@ -33,6 +33,9 @@ IoTDB 提供了两种数据建模方式——树模型和表模型，其特点
 
 **树模型**：以测点为对象进行管理，每个测点对应一条时间序列，测点名按`.`分割可形成一个树形目录结构，与物理世界一一对应，对测点的读写操作简单直观。
 
+> 在构建树模型[路径](../Basic-Concept/Operate-Metadata_timecho.md#4-路径查询)时，节点命名若存在包含非标准字符或特殊符号的可能性，则建议对所有层级节点实施反引号封装策略。这样可以有效规避因字符解析异常导致的测点注册失败及数据写入中断问题，确保路径标识符在语法解析层面的准确性。
+
+
 **表模型**：推荐为每类设备创建一张表，同类设备的物理量采集都具备一定共性（如都采集温度和湿度物理量），数据分析灵活丰富。
 
 ### 2.1 模型特点

src/zh/UserGuide/latest/Background-knowledge/Data-Model-and-Terminology_apache.md

@@ -33,6 +33,8 @@ IoTDB 提供了两种数据建模方式——树模型和表模型，其特点
 
 **树模型**：以测点为对象进行管理，每个测点对应一条时间序列，测点名按`.`分割可形成一个树形目录结构，与物理世界一一对应，对测点的读写操作简单直观。
 
+> 在构建树模型[路径](../Basic-Concept/Operate-Metadata_apache.md#4-路径查询)时，节点命名若存在包含非标准字符或特殊符号的可能性，则建议对所有层级节点实施反引号封装策略。这样可以有效规避因字符解析异常导致的测点注册失败及数据写入中断问题，确保路径标识符在语法解析层面的准确性。
+
 **表模型**：推荐为每类设备创建一张表，同类设备的物理量采集都具备一定共性（如都采集温度和湿度物理量），数据分析灵活丰富。
 
 ### 2.1 模型特点

src/zh/UserGuide/latest/Background-knowledge/Data-Model-and-Terminology_timecho.md

@@ -33,6 +33,9 @@ IoTDB 提供了两种数据建模方式——树模型和表模型，其特点
 
 **树模型**：以测点为对象进行管理，每个测点对应一条时间序列，测点名按`.`分割可形成一个树形目录结构，与物理世界一一对应，对测点的读写操作简单直观。
 
+> 在构建树模型[路径](../Basic-Concept/Operate-Metadata_timecho.md#4-路径查询)时，节点命名若存在包含非标准字符或特殊符号的可能性，则建议对所有层级节点实施反引号封装策略。这样可以有效规避因字符解析异常导致的测点注册失败及数据写入中断问题，确保路径标识符在语法解析层面的准确性。
+
+
 **表模型**：推荐为每类设备创建一张表，同类设备的物理量采集都具备一定共性（如都采集温度和湿度物理量），数据分析灵活丰富。
 
 ### 2.1 模型特点