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new ee254000 update timeseries large model in ainode (#831)
ee254000 is described below
commit ee254000162ad46074ceb232f29106340fa28c58
Author: leto-b <[email protected]>
AuthorDate: Thu Jul 24 10:05:38 2025 +0800
update timeseries large model in ainode (#831)
---
src/UserGuide/Master/Table/AI-capability/AINode_apache.md | 2 +-
src/UserGuide/Master/Table/AI-capability/AINode_timecho.md | 2 +-
src/UserGuide/Master/Tree/AI-capability/AINode_apache.md | 2 +-
src/UserGuide/Master/Tree/AI-capability/AINode_timecho.md | 2 +-
src/UserGuide/V1.3.x/AI-capability/AINode_apache.md | 2 +-
src/UserGuide/V1.3.x/AI-capability/AINode_timecho.md | 2 +-
src/UserGuide/dev-1.3/AI-capability/AINode_apache.md | 2 +-
src/UserGuide/dev-1.3/AI-capability/AINode_timecho.md | 2 +-
src/UserGuide/latest-Table/AI-capability/AINode_apache.md | 2 +-
src/UserGuide/latest-Table/AI-capability/AINode_timecho.md | 2 +-
src/UserGuide/latest/AI-capability/AINode_apache.md | 2 +-
src/UserGuide/latest/AI-capability/AINode_timecho.md | 2 +-
src/zh/UserGuide/Master/Table/AI-capability/AINode_apache.md | 2 +-
src/zh/UserGuide/Master/Table/AI-capability/AINode_timecho.md | 2 +-
src/zh/UserGuide/Master/Tree/AI-capability/AINode_apache.md | 2 +-
src/zh/UserGuide/Master/Tree/AI-capability/AINode_timecho.md | 2 +-
src/zh/UserGuide/V1.3.x/AI-capability/AINode_apache.md | 2 +-
src/zh/UserGuide/V1.3.x/AI-capability/AINode_timecho.md | 2 +-
src/zh/UserGuide/dev-1.3/AI-capability/AINode_apache.md | 2 +-
src/zh/UserGuide/dev-1.3/AI-capability/AINode_timecho.md | 2 +-
src/zh/UserGuide/latest-Table/AI-capability/AINode_apache.md | 2 +-
src/zh/UserGuide/latest-Table/AI-capability/AINode_timecho.md | 2 +-
src/zh/UserGuide/latest/AI-capability/AINode_apache.md | 2 +-
src/zh/UserGuide/latest/AI-capability/AINode_timecho.md | 2 +-
24 files changed, 24 insertions(+), 24 deletions(-)
diff --git a/src/UserGuide/Master/Table/AI-capability/AINode_apache.md
b/src/UserGuide/Master/Table/AI-capability/AINode_apache.md
index 58aab926..421bbcde 100644
--- a/src/UserGuide/Master/Table/AI-capability/AINode_apache.md
+++ b/src/UserGuide/Master/Table/AI-capability/AINode_apache.md
@@ -21,7 +21,7 @@
# AINode
-AINode is an IoTDB native node designed to support the registration,
management, and invocation of large-scale time series models. It comes with
industry-leading proprietary time series models such as Timer and Sundial.
These models can be invoked through standard SQL statements, enabling real-time
inference of time series data at the millisecond level, and supporting
application scenarios such as trend forecasting, missing value imputation, and
anomaly detection for time series data.
+AINode is a native IoTDB node that supports the registration, management, and
invocation of time-series-related models. It comes with built-in
industry-leading self-developed time-series large models, such as the Timer
series developed by Tsinghua University. These models can be invoked through
standard SQL statements, enabling real-time inference of time series data at
the millisecond level, and supporting application scenarios such as trend
forecasting, missing value imputation, and an [...]
The system architecture is shown below:
::: center
diff --git a/src/UserGuide/Master/Table/AI-capability/AINode_timecho.md
b/src/UserGuide/Master/Table/AI-capability/AINode_timecho.md
index 034a5497..a22f96bf 100644
--- a/src/UserGuide/Master/Table/AI-capability/AINode_timecho.md
+++ b/src/UserGuide/Master/Table/AI-capability/AINode_timecho.md
@@ -21,7 +21,7 @@
# AINode
-AINode is an IoTDB native node designed to support the registration,
management, and invocation of large-scale time series models. It comes with
industry-leading proprietary time series models such as Timer and Sundial.
These models can be invoked through standard SQL statements, enabling real-time
inference of time series data at the millisecond level, and supporting
application scenarios such as trend forecasting, missing value imputation, and
anomaly detection for time series data.
+AINode is a native IoTDB node that supports the registration, management, and
invocation of time-series-related models. It comes with built-in
industry-leading self-developed time-series large models, such as the Timer
series developed by Tsinghua University. These models can be invoked through
standard SQL statements, enabling real-time inference of time series data at
the millisecond level, and supporting application scenarios such as trend
forecasting, missing value imputation, and an [...]
The system architecture is shown below:
::: center
diff --git a/src/UserGuide/Master/Tree/AI-capability/AINode_apache.md
b/src/UserGuide/Master/Tree/AI-capability/AINode_apache.md
index bae4ce65..31b3b9e2 100644
--- a/src/UserGuide/Master/Tree/AI-capability/AINode_apache.md
+++ b/src/UserGuide/Master/Tree/AI-capability/AINode_apache.md
@@ -21,7 +21,7 @@
# AINode
-AINode is an IoTDB native node designed to support the registration,
management, and invocation of large-scale time series models. It comes with
industry-leading proprietary time series models such as Timer and Sundial.
These models can be invoked through standard SQL statements, enabling real-time
inference of time series data at the millisecond level, and supporting
application scenarios such as trend forecasting, missing value imputation, and
anomaly detection for time series data.
+AINode is a native IoTDB node that supports the registration, management, and
invocation of time-series-related models. It comes with built-in
industry-leading self-developed time-series large models, such as the Timer
series developed by Tsinghua University. These models can be invoked through
standard SQL statements, enabling real-time inference of time series data at
the millisecond level, and supporting application scenarios such as trend
forecasting, missing value imputation, and an [...]
The system architecture is shown below:
::: center
diff --git a/src/UserGuide/Master/Tree/AI-capability/AINode_timecho.md
b/src/UserGuide/Master/Tree/AI-capability/AINode_timecho.md
index da8fc572..d3662dcf 100644
--- a/src/UserGuide/Master/Tree/AI-capability/AINode_timecho.md
+++ b/src/UserGuide/Master/Tree/AI-capability/AINode_timecho.md
@@ -21,7 +21,7 @@
# AINode
-AINode is an IoTDB native node designed to support the registration,
management, and invocation of large-scale time series models. It comes with
industry-leading proprietary time series models such as Timer and Sundial.
These models can be invoked through standard SQL statements, enabling real-time
inference of time series data at the millisecond level, and supporting
application scenarios such as trend forecasting, missing value imputation, and
anomaly detection for time series data.
+AINode is a native IoTDB node that supports the registration, management, and
invocation of time-series-related models. It comes with built-in
industry-leading self-developed time-series large models, such as the Timer
series developed by Tsinghua University. These models can be invoked through
standard SQL statements, enabling real-time inference of time series data at
the millisecond level, and supporting application scenarios such as trend
forecasting, missing value imputation, and an [...]
The system architecture is shown below:
diff --git a/src/UserGuide/V1.3.x/AI-capability/AINode_apache.md
b/src/UserGuide/V1.3.x/AI-capability/AINode_apache.md
index 6b17ebb4..0bce3831 100644
--- a/src/UserGuide/V1.3.x/AI-capability/AINode_apache.md
+++ b/src/UserGuide/V1.3.x/AI-capability/AINode_apache.md
@@ -21,7 +21,7 @@
# AINode
-AINode is an IoTDB native node designed to support the registration,
management, and invocation of large-scale time series models. It comes with
industry-leading proprietary time series models such as Timer and Sundial.
These models can be invoked through standard SQL statements, enabling real-time
inference of time series data at the millisecond level, and supporting
application scenarios such as trend forecasting, missing value imputation, and
anomaly detection for time series data.
+AINode is a native IoTDB node that supports the registration, management, and
invocation of time-series-related models. It comes with built-in
industry-leading self-developed time-series large models, such as the Timer
series developed by Tsinghua University. These models can be invoked through
standard SQL statements, enabling real-time inference of time series data at
the millisecond level, and supporting application scenarios such as trend
forecasting, missing value imputation, and an [...]
The system architecture is shown below:
diff --git a/src/UserGuide/V1.3.x/AI-capability/AINode_timecho.md
b/src/UserGuide/V1.3.x/AI-capability/AINode_timecho.md
index eda8713c..0676658d 100644
--- a/src/UserGuide/V1.3.x/AI-capability/AINode_timecho.md
+++ b/src/UserGuide/V1.3.x/AI-capability/AINode_timecho.md
@@ -21,7 +21,7 @@
# AINode
-AINode is an IoTDB native node designed to support the registration,
management, and invocation of large-scale time series models. It comes with
industry-leading proprietary time series models such as Timer and Sundial.
These models can be invoked through standard SQL statements, enabling real-time
inference of time series data at the millisecond level, and supporting
application scenarios such as trend forecasting, missing value imputation, and
anomaly detection for time series data.
+AINode is a native IoTDB node that supports the registration, management, and
invocation of time-series-related models. It comes with built-in
industry-leading self-developed time-series large models, such as the Timer
series developed by Tsinghua University. These models can be invoked through
standard SQL statements, enabling real-time inference of time series data at
the millisecond level, and supporting application scenarios such as trend
forecasting, missing value imputation, and an [...]
The system architecture is shown below:
diff --git a/src/UserGuide/dev-1.3/AI-capability/AINode_apache.md
b/src/UserGuide/dev-1.3/AI-capability/AINode_apache.md
index 6b17ebb4..0bce3831 100644
--- a/src/UserGuide/dev-1.3/AI-capability/AINode_apache.md
+++ b/src/UserGuide/dev-1.3/AI-capability/AINode_apache.md
@@ -21,7 +21,7 @@
# AINode
-AINode is an IoTDB native node designed to support the registration,
management, and invocation of large-scale time series models. It comes with
industry-leading proprietary time series models such as Timer and Sundial.
These models can be invoked through standard SQL statements, enabling real-time
inference of time series data at the millisecond level, and supporting
application scenarios such as trend forecasting, missing value imputation, and
anomaly detection for time series data.
+AINode is a native IoTDB node that supports the registration, management, and
invocation of time-series-related models. It comes with built-in
industry-leading self-developed time-series large models, such as the Timer
series developed by Tsinghua University. These models can be invoked through
standard SQL statements, enabling real-time inference of time series data at
the millisecond level, and supporting application scenarios such as trend
forecasting, missing value imputation, and an [...]
The system architecture is shown below:
diff --git a/src/UserGuide/dev-1.3/AI-capability/AINode_timecho.md
b/src/UserGuide/dev-1.3/AI-capability/AINode_timecho.md
index eda8713c..0676658d 100644
--- a/src/UserGuide/dev-1.3/AI-capability/AINode_timecho.md
+++ b/src/UserGuide/dev-1.3/AI-capability/AINode_timecho.md
@@ -21,7 +21,7 @@
# AINode
-AINode is an IoTDB native node designed to support the registration,
management, and invocation of large-scale time series models. It comes with
industry-leading proprietary time series models such as Timer and Sundial.
These models can be invoked through standard SQL statements, enabling real-time
inference of time series data at the millisecond level, and supporting
application scenarios such as trend forecasting, missing value imputation, and
anomaly detection for time series data.
+AINode is a native IoTDB node that supports the registration, management, and
invocation of time-series-related models. It comes with built-in
industry-leading self-developed time-series large models, such as the Timer
series developed by Tsinghua University. These models can be invoked through
standard SQL statements, enabling real-time inference of time series data at
the millisecond level, and supporting application scenarios such as trend
forecasting, missing value imputation, and an [...]
The system architecture is shown below:
diff --git a/src/UserGuide/latest-Table/AI-capability/AINode_apache.md
b/src/UserGuide/latest-Table/AI-capability/AINode_apache.md
index 58aab926..421bbcde 100644
--- a/src/UserGuide/latest-Table/AI-capability/AINode_apache.md
+++ b/src/UserGuide/latest-Table/AI-capability/AINode_apache.md
@@ -21,7 +21,7 @@
# AINode
-AINode is an IoTDB native node designed to support the registration,
management, and invocation of large-scale time series models. It comes with
industry-leading proprietary time series models such as Timer and Sundial.
These models can be invoked through standard SQL statements, enabling real-time
inference of time series data at the millisecond level, and supporting
application scenarios such as trend forecasting, missing value imputation, and
anomaly detection for time series data.
+AINode is a native IoTDB node that supports the registration, management, and
invocation of time-series-related models. It comes with built-in
industry-leading self-developed time-series large models, such as the Timer
series developed by Tsinghua University. These models can be invoked through
standard SQL statements, enabling real-time inference of time series data at
the millisecond level, and supporting application scenarios such as trend
forecasting, missing value imputation, and an [...]
The system architecture is shown below:
::: center
diff --git a/src/UserGuide/latest-Table/AI-capability/AINode_timecho.md
b/src/UserGuide/latest-Table/AI-capability/AINode_timecho.md
index 034a5497..a22f96bf 100644
--- a/src/UserGuide/latest-Table/AI-capability/AINode_timecho.md
+++ b/src/UserGuide/latest-Table/AI-capability/AINode_timecho.md
@@ -21,7 +21,7 @@
# AINode
-AINode is an IoTDB native node designed to support the registration,
management, and invocation of large-scale time series models. It comes with
industry-leading proprietary time series models such as Timer and Sundial.
These models can be invoked through standard SQL statements, enabling real-time
inference of time series data at the millisecond level, and supporting
application scenarios such as trend forecasting, missing value imputation, and
anomaly detection for time series data.
+AINode is a native IoTDB node that supports the registration, management, and
invocation of time-series-related models. It comes with built-in
industry-leading self-developed time-series large models, such as the Timer
series developed by Tsinghua University. These models can be invoked through
standard SQL statements, enabling real-time inference of time series data at
the millisecond level, and supporting application scenarios such as trend
forecasting, missing value imputation, and an [...]
The system architecture is shown below:
::: center
diff --git a/src/UserGuide/latest/AI-capability/AINode_apache.md
b/src/UserGuide/latest/AI-capability/AINode_apache.md
index bae4ce65..31b3b9e2 100644
--- a/src/UserGuide/latest/AI-capability/AINode_apache.md
+++ b/src/UserGuide/latest/AI-capability/AINode_apache.md
@@ -21,7 +21,7 @@
# AINode
-AINode is an IoTDB native node designed to support the registration,
management, and invocation of large-scale time series models. It comes with
industry-leading proprietary time series models such as Timer and Sundial.
These models can be invoked through standard SQL statements, enabling real-time
inference of time series data at the millisecond level, and supporting
application scenarios such as trend forecasting, missing value imputation, and
anomaly detection for time series data.
+AINode is a native IoTDB node that supports the registration, management, and
invocation of time-series-related models. It comes with built-in
industry-leading self-developed time-series large models, such as the Timer
series developed by Tsinghua University. These models can be invoked through
standard SQL statements, enabling real-time inference of time series data at
the millisecond level, and supporting application scenarios such as trend
forecasting, missing value imputation, and an [...]
The system architecture is shown below:
::: center
diff --git a/src/UserGuide/latest/AI-capability/AINode_timecho.md
b/src/UserGuide/latest/AI-capability/AINode_timecho.md
index da8fc572..d3662dcf 100644
--- a/src/UserGuide/latest/AI-capability/AINode_timecho.md
+++ b/src/UserGuide/latest/AI-capability/AINode_timecho.md
@@ -21,7 +21,7 @@
# AINode
-AINode is an IoTDB native node designed to support the registration,
management, and invocation of large-scale time series models. It comes with
industry-leading proprietary time series models such as Timer and Sundial.
These models can be invoked through standard SQL statements, enabling real-time
inference of time series data at the millisecond level, and supporting
application scenarios such as trend forecasting, missing value imputation, and
anomaly detection for time series data.
+AINode is a native IoTDB node that supports the registration, management, and
invocation of time-series-related models. It comes with built-in
industry-leading self-developed time-series large models, such as the Timer
series developed by Tsinghua University. These models can be invoked through
standard SQL statements, enabling real-time inference of time series data at
the millisecond level, and supporting application scenarios such as trend
forecasting, missing value imputation, and an [...]
The system architecture is shown below:
diff --git a/src/zh/UserGuide/Master/Table/AI-capability/AINode_apache.md
b/src/zh/UserGuide/Master/Table/AI-capability/AINode_apache.md
index 7e528963..9be94435 100644
--- a/src/zh/UserGuide/Master/Table/AI-capability/AINode_apache.md
+++ b/src/zh/UserGuide/Master/Table/AI-capability/AINode_apache.md
@@ -21,7 +21,7 @@
# AINode
-AINode 是支持时序大模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如 Timer、Sundial 等，可通过标准 SQL
语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
+AINode 是支持时序相关模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如清华自研时序模型 Timer 系列，可通过标准
SQL 语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
系统架构如下图所示：
diff --git a/src/zh/UserGuide/Master/Table/AI-capability/AINode_timecho.md
b/src/zh/UserGuide/Master/Table/AI-capability/AINode_timecho.md
index 53370fd5..562cd2f2 100644
--- a/src/zh/UserGuide/Master/Table/AI-capability/AINode_timecho.md
+++ b/src/zh/UserGuide/Master/Table/AI-capability/AINode_timecho.md
@@ -21,7 +21,7 @@
# AINode
-AINode 是支持时序大模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如 Timer、Sundial 等，可通过标准 SQL
语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
+AINode 是支持时序相关模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如清华自研时序模型 Timer 系列，可通过标准
SQL 语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
系统架构如下图所示：
diff --git a/src/zh/UserGuide/Master/Tree/AI-capability/AINode_apache.md
b/src/zh/UserGuide/Master/Tree/AI-capability/AINode_apache.md
index d3b35067..9d92fb36 100644
--- a/src/zh/UserGuide/Master/Tree/AI-capability/AINode_apache.md
+++ b/src/zh/UserGuide/Master/Tree/AI-capability/AINode_apache.md
@@ -21,7 +21,7 @@
# AINode
-AINode 是支持时序大模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如 Timer、Sundial 等，可通过标准 SQL
语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
+AINode 是支持时序相关模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如清华自研时序模型 Timer 系列，可通过标准
SQL 语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
系统架构如下图所示：
diff --git a/src/zh/UserGuide/Master/Tree/AI-capability/AINode_timecho.md
b/src/zh/UserGuide/Master/Tree/AI-capability/AINode_timecho.md
index ae5ddf11..91f16716 100644
--- a/src/zh/UserGuide/Master/Tree/AI-capability/AINode_timecho.md
+++ b/src/zh/UserGuide/Master/Tree/AI-capability/AINode_timecho.md
@@ -21,7 +21,7 @@
# AINode
-AINode 是支持时序大模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如 Timer、Sundial 等，可通过标准 SQL
语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
+AINode 是支持时序相关模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如清华自研时序模型 Timer 系列，可通过标准
SQL 语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
系统架构如下图所示：
diff --git a/src/zh/UserGuide/V1.3.x/AI-capability/AINode_apache.md
b/src/zh/UserGuide/V1.3.x/AI-capability/AINode_apache.md
index e88a3e77..354ce29d 100644
--- a/src/zh/UserGuide/V1.3.x/AI-capability/AINode_apache.md
+++ b/src/zh/UserGuide/V1.3.x/AI-capability/AINode_apache.md
@@ -21,7 +21,7 @@
# AINode
-AINode 是支持时序大模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如 Timer、Sundial 等，可通过标准 SQL
语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
+AINode 是支持时序相关模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如清华自研时序模型 Timer 系列，可通过标准
SQL 语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
系统架构如下图所示：
::: center
diff --git a/src/zh/UserGuide/V1.3.x/AI-capability/AINode_timecho.md
b/src/zh/UserGuide/V1.3.x/AI-capability/AINode_timecho.md
index 14d8bbf6..0e3b6ee9 100644
--- a/src/zh/UserGuide/V1.3.x/AI-capability/AINode_timecho.md
+++ b/src/zh/UserGuide/V1.3.x/AI-capability/AINode_timecho.md
@@ -21,7 +21,7 @@
# AINode
-AINode 是支持时序大模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如 Timer、Sundial 等，可通过标准 SQL
语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
+AINode 是支持时序相关模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如清华自研时序模型 Timer 系列，可通过标准
SQL 语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
系统架构如下图所示：
::: center
diff --git a/src/zh/UserGuide/dev-1.3/AI-capability/AINode_apache.md
b/src/zh/UserGuide/dev-1.3/AI-capability/AINode_apache.md
index e88a3e77..354ce29d 100644
--- a/src/zh/UserGuide/dev-1.3/AI-capability/AINode_apache.md
+++ b/src/zh/UserGuide/dev-1.3/AI-capability/AINode_apache.md
@@ -21,7 +21,7 @@
# AINode
-AINode 是支持时序大模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如 Timer、Sundial 等，可通过标准 SQL
语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
+AINode 是支持时序相关模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如清华自研时序模型 Timer 系列，可通过标准
SQL 语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
系统架构如下图所示：
::: center
diff --git a/src/zh/UserGuide/dev-1.3/AI-capability/AINode_timecho.md
b/src/zh/UserGuide/dev-1.3/AI-capability/AINode_timecho.md
index 14d8bbf6..0e3b6ee9 100644
--- a/src/zh/UserGuide/dev-1.3/AI-capability/AINode_timecho.md
+++ b/src/zh/UserGuide/dev-1.3/AI-capability/AINode_timecho.md
@@ -21,7 +21,7 @@
# AINode
-AINode 是支持时序大模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如 Timer、Sundial 等，可通过标准 SQL
语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
+AINode 是支持时序相关模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如清华自研时序模型 Timer 系列，可通过标准
SQL 语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
系统架构如下图所示：
::: center
diff --git a/src/zh/UserGuide/latest-Table/AI-capability/AINode_apache.md
b/src/zh/UserGuide/latest-Table/AI-capability/AINode_apache.md
index 0f4a8b1c..18eff8ec 100644
--- a/src/zh/UserGuide/latest-Table/AI-capability/AINode_apache.md
+++ b/src/zh/UserGuide/latest-Table/AI-capability/AINode_apache.md
@@ -21,7 +21,7 @@
# AINode
-AINode 是支持时序大模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如 Timer、Sundial 等，可通过标准 SQL
语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
+AINode 是支持时序相关模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如清华自研时序模型 Timer 系列，可通过标准
SQL 语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
系统架构如下图所示：
diff --git a/src/zh/UserGuide/latest-Table/AI-capability/AINode_timecho.md
b/src/zh/UserGuide/latest-Table/AI-capability/AINode_timecho.md
index 53370fd5..562cd2f2 100644
--- a/src/zh/UserGuide/latest-Table/AI-capability/AINode_timecho.md
+++ b/src/zh/UserGuide/latest-Table/AI-capability/AINode_timecho.md
@@ -21,7 +21,7 @@
# AINode
-AINode 是支持时序大模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如 Timer、Sundial 等，可通过标准 SQL
语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
+AINode 是支持时序相关模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如清华自研时序模型 Timer 系列，可通过标准
SQL 语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
系统架构如下图所示：
diff --git a/src/zh/UserGuide/latest/AI-capability/AINode_apache.md
b/src/zh/UserGuide/latest/AI-capability/AINode_apache.md
index d3b35067..9d92fb36 100644
--- a/src/zh/UserGuide/latest/AI-capability/AINode_apache.md
+++ b/src/zh/UserGuide/latest/AI-capability/AINode_apache.md
@@ -21,7 +21,7 @@
# AINode
-AINode 是支持时序大模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如 Timer、Sundial 等，可通过标准 SQL
语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
+AINode 是支持时序相关模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如清华自研时序模型 Timer 系列，可通过标准
SQL 语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
系统架构如下图所示：
diff --git a/src/zh/UserGuide/latest/AI-capability/AINode_timecho.md
b/src/zh/UserGuide/latest/AI-capability/AINode_timecho.md
index ae5ddf11..91f16716 100644
--- a/src/zh/UserGuide/latest/AI-capability/AINode_timecho.md
+++ b/src/zh/UserGuide/latest/AI-capability/AINode_timecho.md
@@ -21,7 +21,7 @@
# AINode
-AINode 是支持时序大模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如 Timer、Sundial 等，可通过标准 SQL
语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
+AINode 是支持时序相关模型注册、管理、调用的 IoTDB 原生节点，内置业界领先的自研时序大模型，如清华自研时序模型 Timer 系列，可通过标准
SQL 语句进行调用，实现时序数据的毫秒级实时推理，可支持时序趋势预测、缺失值填补、异常值检测等应用场景。
系统架构如下图所示：
