tencent/Youtu-LLM-2B

📃 License • 💻 Code • 📑 Technical Report • 📊 Benchmarks • 🚀 Getting Started • 💡 Highlights

🎯 Brief Introduction

Youtu-LLM is a new, small, yet powerful LLM, contains only 1.96B parameters, supports 128k long context, and has native agentic talents. On general evaluations, Youtu-LLM significantly outperforms SOTA LLMs of similar size in terms of Commonsense, STEM, Coding and Long Context capabilities; in agent-related testing, Youtu-LLM surpasses larger-sized leaders and is truly capable of completing multiple end2end agent tasks.

Youtu-LLM has the following features:

• Type: Autoregressive Causal Language Models with Dense MLA
• Release versions: Base and Instruct
• Number of Parameters: 1.96B
• Number of Layers: 32
• Number of Attention Heads (MLA): 16 for Q/K/V
• MLA Rank: 1,536 for Q, 512 for K/V
• MLA Dim: 128 for QK Nope, 64 for QK Rope, and 128 for V
• Context Length: 131,072
• Vocabulary Size: 128,256

🤗 Model Download

Model Name	Description	Download
Youtu-LLM-2B-Base	Base model of Youtu-LLM-2B	🤗 Model
Youtu-LLM-2B	Instruct model of Youtu-LLM-2B	🤗 Model
Youtu-LLM-2B-GGUF	Instruct model of Youtu-LLM-2B, in GGUF format	🤗 Model

📰 News

• [2026.01.28] You can now directly use Youtu-LLM with Transformers>=5.1.0.
• [2026.01.07] You can now fine-tune Youtu-LLM with ModelScope.
• [2026.01.04] You can now fine-tune Youtu-LLM with LlamaFactory.

📊 Performance Comparisons

Instruct Model

General Benchmarks

Benchmark	DeepSeek-R1-Distill-Qwen-1.5B	Qwen3-1.7B	SmolLM3-3B	Qwen3-4B	DeepSeek-R1-Distill-Llama-8B	Youtu-LLM-2B
Commonsense Knowledge Reasoning
MMLU-Redux	53.0%	74.1%	75.6%	83.8%	78.1%	75.8%
MMLU-Pro	36.5%	54.9%	53.0%	69.1%	57.5%	61.6%
Instruction Following & Text Reasoning
IFEval	29.4%	70.4%	60.4%	83.6%	34.6%	81.2%
DROP	41.3%	72.5%	72.0%	82.9%	73.1%	86.7%
MUSR	43.8%	56.6%	54.1%	60.5%	59.7%	57.4%
STEM
MATH-500	84.8%	89.8%	91.8%	95.0%	90.8%	93.7%
AIME 24	30.2%	44.2%	46.7%	73.3%	52.5%	65.4%
AIME 25	23.1%	37.1%	34.2%	64.2%	34.4%	49.8%
GPQA-Diamond	33.6%	36.9%	43.8%	55.2%	45.5%	48.0%
BBH	31.0%	69.1%	76.3%	87.8%	77.8%	77.5%
Coding
HumanEval	64.0%	84.8%	79.9%	95.4%	88.1%	95.9%
HumanEval+	59.5%	76.2%	74.7%	87.8%	82.5%	89.0%
MBPP	51.5%	80.5%	66.7%	92.3%	73.9%	85.0%
MBPP+	44.2%	67.7%	56.7%	77.6%	61.0%	71.7%
LiveCodeBench v6	19.8%	30.7%	30.8%	48.5%	36.8%	43.7%

Agentic Benchmarks

Benchmark	Qwen3-1.7B	SmolLM3-3B	Qwen3-4B	Youtu-LLM-2B
Deep Research
GAIA	11.4%	11.7%	25.5%	33.9%
xbench	11.7%	13.9%	18.4%	19.5%
Code
SWE-Bench-Verified	0.6%	7.2%	5.7%	17.7%
EnConda-Bench	10.8%	3.5%	16.1%	21.5%
Tool
BFCL V3	55.5%	31.5%	61.7%	58.0%
τ²-Bench	2.6%	9.7%	10.9%	15.0%

🚀 Quick Start

This guide will help you quickly deploy and invoke the Youtu-LLM-2B model. This model supports "Reasoning Mode", enabling it to generate higher-quality responses through Chain of Thought (CoT).

Transformers >= 4.56.0, <= 4.57.1

If you wish to use Youtu-LLM-2B based on earlier versions of transformers, please make sure to download the model repository before this commit.

1. Environment Preparation

Ensure your Python environment has the transformers library installed and that the version meets the requirements.

pip install "transformers>=4.56.0,<=4.57.1" torch accelerate

Note

• (1) We recommend to limit the version of transformers: pip install "transformers>=4.56.0,<=4.57.1", which is comparable with the current remote codes;
• (2) Do not use transformers==4.57.2, since there is a bug unfixed;
• (3) If you would like to maintain a higher version (e.g., 4.57.3), you should slightly modify the "check_model_inputs" in modeling_youtu.py to "check_model_inputs()", following the patch.

2. Core Code Example

The following example demonstrates how to load the model, enable Reasoning Mode, and use the re module to parse the "Thought Process" and the "Final Answer" from the output.

import re
from transformers import AutoTokenizer, AutoModelForCausalLM

# 1. Configure Model
model_id = "tencent/Youtu-LLM-2B"

# 2. Initialize Tokenizer and Model
tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    device_map="auto",
    trust_remote_code=True
)

# 3. Construct Dialogue Input
prompt = "Hello"
messages = [{"role": "user", "content": prompt}]

# Use apply_chat_template to construct input; set enable_thinking=True to activate Reasoning Mode
input_text = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True,
    enable_thinking=True
)

model_inputs = tokenizer([input_text], return_tensors="pt").to(model.device)
print("Input prepared. Starting generation...")

# 4. Generate Response
outputs = model.generate(
    **model_inputs,
    max_new_tokens=512,
    do_sample=True,
    temperature=1.0,
    top_k=20,
    top_p=0.95,
    repetition_penalty=1.05
)
print("Generation complete!")

# 5. Parse Results
full_response = tokenizer.decode(outputs[0], skip_special_tokens=True)

def parse_reasoning(text):
    """Extract thought process within <think> tags and the subsequent answer content"""
    thought_pattern = r"<think>(.*?)</think>"
    match = re.search(thought_pattern, text, re.DOTALL)
    
    if match:
        thought = match.group(1).strip()
        answer = text.split("</think>")[-1].strip()
    else:
        thought = "(No explicit thought process generated)"
        answer = text
    return thought, answer

thought, final_answer = parse_reasoning(full_response)

print(f"\n{'='*20} Thought Process {'='*20}\n{thought}")
print(f"\n{'='*20} Final Answer {'='*20}\n{final_answer}")

Transformers >= 5.1.0

1. Environment Preparation

Ensure your Python environment has the transformers library installed and that the version meets the requirements.

git clone https://github.com/huggingface/transformers.git
cd transformers

# pip
pip install '.[torch]'

# uv
uv pip install '.[torch]'

2. Core Code Example

The following example demonstrates how to load the model, enable Reasoning Mode, and use the re module to parse the "Thought Process" and the "Final Answer" from the output.

import re
from transformers import AutoTokenizer, AutoModelForCausalLM

# 1. Configure Model
model_id = "tencent/Youtu-LLM-2B"

# 2. Initialize Tokenizer and Model
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    device_map="auto"
)

# 3. Construct Dialogue Input
prompt = "Hello"
messages = [{"role": "user", "content": prompt}]

# Use apply_chat_template to construct input; set enable_thinking=True to activate Reasoning Mode
input_text = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True,
    enable_thinking=True
)

model_inputs = tokenizer([input_text], return_tensors="pt").to(model.device)
print("Input prepared. Starting generation...")

# 4. Generate Response
outputs = model.generate(
    **model_inputs,
    max_new_tokens=512,
    do_sample=True,
    temperature=1.0,
    top_k=20,
    top_p=0.95,
    repetition_penalty=1.05
)
print("Generation complete!")

# 5. Parse Results
full_response = tokenizer.decode(outputs[0], skip_special_tokens=True)

def parse_reasoning(text):
    """Extract thought process within <think> tags and the subsequent answer content"""
    thought_pattern = r"<think>(.*?)</think>"
    match = re.search(thought_pattern, text, re.DOTALL)
    
    if match:
        thought = match.group(1).strip()
        answer = text.split("</think>")[-1].strip()
    else:
        thought = "(No explicit thought process generated)"
        answer = text
    return thought, answer

thought, final_answer = parse_reasoning(full_response)

print(f"\n{'='*20} Thought Process {'='*20}\n{thought}")
print(f"\n{'='*20} Final Answer {'='*20}\n{final_answer}")

3. Key Configuration Details

Reasoning Mode Toggle

Controlled via the enable_thinking parameter in the apply_chat_template method:

• True (Recommended Default): Activates Chain of Thought; ideal for complex logic and reasoning tasks.
• False: Outputs results directly; faster response time, suitable for simple conversations.

Recommended Decoding Parameters

Depending on your use case, we suggest adjusting the following hyperparameters for optimal generation:

Parameter	Reasoning Mode	Normal Mode
do_sample	True	True
temperature	1.0 (Maintains creativity)	0.7 (More stable results)
top_p	0.95	0.8
top_k	20	20
repetition_penalty	1.05	-

Tip: When using Reasoning Mode, a higher temperature helps the model perform deeper, more divergent thinking.

4. vLLM Deployment

We provide support for deploying the model using vLLM 0.10.2. The recommended Docker image is vllm/vllm-openai:v0.10.2.

Integration Steps

First, execute the following commands to integrate the Youtu-LLM model files into the vLLM framework. Note: Please extract our provided modified vllm zip file first. Then, replace <local_modified_vllm_path> with the path to the extracted vllm directory, and replace <vllm_path> with the installation path of vLLM.

cp <local_modified_vllm_path>/0_10_2_official/youtu_llm.py <vllm_path>/vllm/model_executor/models/youtu_llm.py
cp <local_modified_vllm_path>/0_10_2_official/configuration_youtu.py <vllm_path>/vllm/model_executor/models/configuration_youtu.py
cp <local_modified_vllm_path>/0_10_2_official/__init__.py <vllm_path>/vllm/config/__init__.py
cp <local_modified_vllm_path>/0_10_2_official/registry.py <vllm_path>/vllm/model_executor/models/registry.py

Service Startup

Once integrated, you can deploy the model using the following command:

vllm serve <model_path> --trust-remote-code

Tool Call Support: To enable tool calling capabilities, please append the following arguments to the startup command:

--enable-auto-tool-choice --tool-call-parser hermes

5. llama.cpp Deployment

For macOS, you can install and use Youtu-LLM as follows:

brew install llama.cpp
llama-server -hf tencent/Youtu-LLM-2B-GGUF:Q8_0 --host 0.0.0.0 --port 8081  --log-disable

💡 Highlights

Showcase of General Tasks

User's query	Youtu-LLM-2B's response
设总体$X$的分布律为 \begin{tabular}{|l|l|l|l|} \hline$X$&-1&0&2\ \hline$P$&$\frac{1}{3}\theta$&$1-\frac{2}{3}\theta$&$\frac{1}{3}\theta$\ \hline \end{tabular} $\left(X_{1},X_{2},\cdots,X_{n}\right)$为来自总体的样本,设有以下四个统计量 (i)$\frac{3}{n}\sum_{i=1}^{n}X_{i}$,(ii)$\left.X_{1}+\frac{2}{n-1}\right){i=2}^{n}X{i}$,(iii)$\frac{3}{5n}\sum_{i=1}^{n}X_{i}^{2}$,(iv)$\frac{1}{3n}\sum_{i=1}^{n}X_{i}^{2}$ 在上述四个统计量中,是参数$\theta$的一致估计量的个数是____ A:0 B:2 C:1 D:3	### 题目分析 我们被给出一个总体 $ X $ 的分布律如下： $$ \begin{array}{|l|l|l|} \hline X & -1 & 0 & 2 \ \hline P & \frac{1}{3}\theta & 1 - \frac{2}{3}\theta & \frac{1}{3}\theta \ \hline \end{array} $$ 其中 $\theta \in [0, \frac{3}{2}]$，因为所有概率必须非负。 样本 $(X_1, X_2, \ldots, X_n)$ 来自该总体，题目要求判断以下四个统计量中哪些是参数 $\theta$ 的一致估计量。 --- ### 一致估计量的定义 一个估计量 $\hat{\theta}^{(n)}$ 是参数 $\theta$ 的一致估计量，当且仅当： $$ \lim_{n \to \infty} P(|\hat{\theta}^{(n)} - \theta| > \varepsilon) = 0 \quad \text{对任意 } \varepsilon > 0 $$ 即：随着样本容量 $n$ 增大，估计量依概率收敛于真实参数 $\theta$。 通常，若估计量是渐近无偏的（即 $E[\hat{\theta}^{(n)}] \to \theta$）且满足一致方差条件，则它是一致估计量。但即使不满足这些条件，只要依概率收敛即可。 --- ### 计算关键期望值 我们先计算一些关键矩： - $ E[X] = (-1)\cdot \frac{1}{3}\theta + 0 \cdot \left(1 - \frac{2}{3}\theta\right) + 2 \cdot \frac{1}{3}\theta = \frac{1}{3}\theta $ - $ E[X^2] = 1 \cdot \frac{1}{3}\theta + 0 + 4 \cdot \frac{1}{3}\theta = \frac{5}{3}\theta $ --- ### 逐个分析统计量 #### (i) $\frac{3}{n} \sum_{i=1}^{n} X_i$ - 期望： $$ E\left[\frac{3}{n} \sum_{i=1}^{n} X_i\right] = \frac{3}{n} \cdot n \cdot E[X] = 3 \cdot \frac{1}{3}\theta = \theta $$ - 由大数定律，$\frac{1}{n} \sum_{i=1}^{n} X_i \xrightarrow{P} E[X] = \frac{1}{3}\theta$， 所以 $\frac{3}{n} \sum_{i=1}^{n} X_i \xrightarrow{P} \theta$ ✅ 结论：(i) 是一致估计量 --- #### (ii) $X_1 + \frac{2}{n-1} \sum_{i=2}^{n} X_i$ - 表达式可写为： $$ \hat{\theta}^{(ii)} = X_1 + \frac{2}{n-1} \sum_{i=2}^{n} X_i $$ - 期望： $$ E[\hat{\theta}^{(ii)}] = E[X_1] + \frac{2}{n-1} \cdot (n-1) E[X] = \frac{1}{3}\theta + 2 \cdot \frac{1}{3}\theta = \theta $$ - 但注意：该统计量包含 $X_1$，这是一个固定随机变量，而 $\frac{2}{n-1} \sum_{i=2}^{n} X_i \xrightarrow{P} \frac{2}{3}\theta$， 所以整体趋于 $X_1 + \frac{2}{3}\theta$，而 $X_1$ 不是 $\theta$ 的函数，因此极限不唯一。 ❌ 结论：(ii) 不是一致估计量 --- #### (iii) $\frac{3}{5n} \sum_{i=1}^{n} X_i^2$ - 期望： $$ E\left[\frac{3}{5n} \sum_{i=1}^{n} X_i^2\right] = \frac{3}{5n} \cdot n \cdot E[X^2] = \frac{3}{5} \cdot \frac{5}{3}\theta = \theta $$ - 由大数定律，$\frac{1}{n} \sum_{i=1}^{n} X_i^2 \xrightarrow{P} E[X^2] = \frac{5}{3}\theta$， 所以 $\frac{3}{5n} \sum_{i=1}^{n} X_i^2 \xrightarrow{P} \theta$ ✅ 结论：(iii) 是一致估计量 --- #### (iv) $\frac{1}{3n} \sum_{i=1}^{n} X_i^2$ - 期望： $$ E\left[\frac{1}{3n} \sum_{i=1}^{n} X_i^2\right] = \frac{1}{3n} \cdot n \cdot E[X^2] = \frac{1}{3} \cdot \frac{5}{3}\theta = \frac{5}{9}\theta \neq \theta $$ - 极限为 $\frac{5}{9}\theta \neq \theta$，故不依概率收敛于 $\theta$ ❌ 结论：(iv) 不是一致估计量 --- ### 最终结论 - 一致估计量有：(i) 和 (iii) - 共 2 个 --- ### 答案 $$ \boxed{B} $$
Which of the following statements does NOT accurately describe voting behavior in the United States? A: Registered voters between the ages of 35 and 45 are more likely to vote than are those under the age of 21. B: A registered voter who has attained his or her General Educational Development (GED) is less likely to vote than a high school dropout. C: Registered voters are more likely to vote in general elections than they are in primary elections. D: More women than men have voted in every presidential election since 1980.	The question asks which statement does NOT accurately describe voting behavior in the United States. Here's the analysis of each option: - Option A states that registered voters aged 35–45 are more likely to vote than those under 21. This aligns with the general trend of increasing voter turnout with age, especially in the 30s and 40s. While younger voters (e.g., under 21) may have lower turnout, this statement is accurate. - Option B claims that a registered voter with a GED is less likely to vote than a high school dropout. This contradicts the typical correlation between higher education and increased voter participation. GED holders generally have higher turnout than those with less education, making this statement inaccurate. - Option C notes that registered voters are more likely to vote in general elections than primary elections. This is correct, as primaries are party-specific and often serve as a gateway to general elections, meaning registered voters are more likely to participate in the latter. - Option D asserts that more women than men have voted in every presidential election since 1980. Historical data shows women have consistently had slightly higher turnout rates than men in presidential elections since 1980, making this statement accurate. The incorrect statement is B, as it misrepresents the relationship between education and voting behavior. \boxed{B}
Let $T$ be the set of all triples $(a,b,c)$ of positive integers for which there exist triangles with side lengths $a,$ $b,$ $c.$ Compute [\sum_{(a,b,c) \in T} \frac{2^a}{3^b 5^c}.]	To solve the problem, we need to compute the sum over all triples ((a, b, c)) of positive integers that form a valid triangle of the term (\frac{2^a}{3^b 5^c}). The set (T) consists of all such triples where (a + b > c), (a + c > b), and (b + c > a). First, we express the sum as a double sum over (a) and (b), with the inner sum over (c) constrained by the triangle inequalities. For each (a) and (b), the valid (c) values are (|a - b| + 1) to (a + b - 1). The inner sum over (c) is a geometric series: [ \sum_{c=|a - b| + 1}^{a + b - 1} \frac{1}{5^c} = \frac{5}{4} \left( \frac{1}{5^{|a - b| + 1}} - \frac{1}{5^{a + b}} \right) ] Substituting this back into the original sum, we split it into two parts: [ \frac{5}{4} \left( \sum_{a=1}^\infty \sum_{b=1}^\infty \frac{2^a}{3^b} \left( \frac{1}{5^{|a - b| + 1}} - \frac{1}{5^{a + b}} \right) \right) ] We compute these sums separately. Let (S_1) be the first part and (S_2) be the second part. For (S_2): [ S_2 = \sum_{a=1}^\infty \sum_{b=1}^\infty \frac{2^a}{3^b 5^{a + b}} = \left( \sum_{a=1}^\infty \left( \frac{2}{5} \right)^a \right) \left( \sum_{b=1}^\infty \left( \frac{1}{15} \right)^b \right) = \frac{2/3}{1 - 2/5} \cdot \frac{1/15}{1 - 1/15} = \frac{2}{3} \cdot \frac{1}{14} = \frac{1}{21} ] For (S_1), we split it into two cases (a \geq b) and (a < b). For (a \geq b): [ S_{1a} = \sum_{b=1}^\infty \sum_{k=0}^\infty \frac{2^{b + k}}{3^b 5^{k + 1}} = \frac{2}{3} \sum_{b=1}^\infty \left( \frac{2}{3} \right)^b \cdot \frac{1}{5} \sum_{k=0}^\infty \left( \frac{2}{5} \right)^k = \frac{2}{3} \cdot \frac{1}{3} \cdot 2 = \frac{2}{3} ] For (a < b): [ S_{1b} = \sum_{a=1}^\infty \sum_{m=1}^\infty \frac{2^a}{3^{a + m} 5^{m + 1}} = \frac{1}{5 \cdot 14} \sum_{a=1}^\infty \left( \frac{2}{3} \right)^a = \frac{1}{70} \cdot 2 = \frac{1}{35} ] Thus, (S_1 = S_{1a} + S_{1b} = \frac{2}{3} + \frac{1}{35} = \frac{73}{105}). Combining these results: [ \frac{5}{4} \left( \frac{73}{105} - \frac{1}{21} \right) = \frac{5}{4} \left( \frac{73}{105} - \frac{5}{105} \right) = \frac{5}{4} \cdot \frac{68}{105} = \frac{17}{21} ] The final answer is: [ \boxed{\dfrac{17}{21}} ]

Showcase of Specialized Tasks

Task	User's query	Youtu-LLM-2B's response
问题改写✍️	Q1：南京欢乐谷的具体地址是哪里 A1：南京市欢乐谷景区（Nanjing Happy Valley），位于江苏省南京市栖霞区经济技术开发区欢乐谷北路8号。 Q2：现在适合去旅游吗 A2：旅游的适宜性取决于多个因素，包括目的地的疫情状况、旅行限制和个人的健康状况。由于我无法获取实时信息，建议你参考当地政府和卫生部门的指导，以了解目的地的旅行建议和限制。 Q3：南京欢乐谷和北京欢乐谷哪个好玩 A3：南京欢乐谷和北京欢乐谷都是知名的主题公园，各自都有其独特的魅力和特色。以下是一些比较它们的方面: 1. 规模和设施：北京欢乐谷是中国最大的主题公园之一，拥有广阔的面积和丰富多样的游乐设施。南京欢乐谷也是一座大型主题公园，虽然规模较小，但同样提供了多种娱乐项目和设施。 2. 地理位置：北京欢乐谷位于中国首都北京，周边有许多其他旅游景点和文化遗址，可以更方便地探索城市的其他景点。南京欢乐谷则位于江苏省南京市，周边也有一些历史和文化景点。 3. 主题和氛围：北京欢乐谷以欢乐、刺激和冒险为主题，有许多惊险刺激的游乐设施。南京欢乐谷则更注重家庭娱乐和亲子活动，提供了更多适合全家人一起玩乐的项目。 根据以上已知条件和问答内容，理解以下问题意图，并将问题以完整的形式输出 Q4：详细解释下第三点	详细解释下南京欢乐谷和北京欢乐谷比较中，主题和氛围的部分。
文本切分📋	脉冲电子围栏报警系统中文LCD控制键盘使用手册V1.0 第一章:脉冲电子围栏入侵报警系统简介 尊敬的客户: 您好!感谢您使用本公司产品，为了更好更快的安装及使用本产品，请在使用前认真仔细地阅读本手册。 脉冲电子围栏系统包括脉冲电子围栏主机以及对其控制的PC主机、中文LCD液晶键盘，本手册针对脉冲电子围栏中文LCD控制键盘适用，如是您有任问技术问题或需要技术支持，请联系我公司，我公司将竭力为您服务。 一、脉冲电子围栏主机概述 1.1绝对安全，根据GB/T7946-2008要求研发制造，并通过了公安部的形式检验。 1.2误报率低和适应性强 智能型脉冲电子围栏系统基本不受环境(如树木、小动物、震动等)和气候(如风、雪、雨、雾等)的 影响，不受地形高低和曲折程度的限制，误报率极低。 1.3阻挡和报警双重功能 智能型脉冲电子围栏系统的新概念是把企图入侵者阻挡在防区之外，不作案为目的。 能够实实在在给入 侵者一种威慑感和阻挡作用，使其不敢轻举妄动，达到防范为主，减少作案次数。 1.4连续工作、布防/撤防，按需设定。 1.6可根据用户要求和现场地理环境以及安全等级进行设计和安装。 并可和多种现代安防产品，例如电视监控系统、安防报警系统配套使用，以提高系统的安全防范等级。 1.7绝对安全及报警感知性 传统的高压脉冲电网警戒系统没有报警感知功能，仅仅以高压、大电流的方式阻止入侵者，极易造成入 侵者伤残，甚至死亡等严重后果。 智能型脉冲电子围栏系统采用了低能量的脉冲高压(5~10KV)。 由于能量 极低且作用时间极为短暂，因而对人体不会造成伤害。 一旦触及，也会因直接有触电感而离开。 二、中文LCD控制键盘特点及性能参数 功能特点: 1.可接128台脉冲电子围栏，中文液晶显示，两路RS485总线通讯接口，方便现场安装施工; 2.采用中文液晶显示，显示直观，操作方便 3.可同时远程控制128台高压脉冲围栏控制器 4.可以实时显示和控制各围栏控制器的状态(脉冲电压幅值、布防/撤防状态) 5.报警时显示对应防区的报警类型(防拆、短路、断线、短接)，同时有声音提示 6.一键布/撤防功能 7.可以查询报警历史记录. 8.可以实时显示线上电压 9.可查询操作记录防止管理人员对系统乱撤防等; 10.可控制前端继电器模块输出信号; 11.支持遥控器高，低压布防，撤防，复位等; 12.六个LED指示灯显示系统工作状态; 13.自带一路12V800MA电压报警输出及一路常开常闭信号可选输出; 14.可存储100条报警记录，及100条操作记录; 技术参数: 尺寸(长x宽x厚):19.5x14x2.9cm 重量:250克 工作环境:-20℃ +50℃;-0-85%湿度 工作电压:直流:12伏~16伏 工作电流(直流):静态50毫安;报警100毫安 中文液晶显示，显示控制设备的各类信息，包括报警、状态等。 第二章:中文LCD控制键盘说明 一.中文LCD控制键盘面板示意图: (中文LCD控制键盘图) 图片占位符 1.正常有电状态时，电源指示灯亮 2.系统运行时，运行指示灯亮 3.键盘布防时，布防指示灯亮 4.系统有报警时，报警指示灯亮 5.有无线遥控器的控制信号时，信号指示灯亮 二.接线端口 1.RS485通讯口2:键盘第二二路485 通讯接口; 2.RS485通讯口1:键盘第一路485通讯接口; 3. 12V， GND:为键盘12V供电接入口; 4.开关量:键盘报警开关量输出接口(常开，常闭可选，在键盘内部继电器旁的JP跳针); 5.警号输出接口:"+"接警号正极，"一"接警号负极; (接线端口示意图) 图片占位符 第三章:编程设置 注:系统初始密码为:8888;安装调试完成后，请第一时间修改系统密码! 一.系统菜单项及编程设置 1.1系统上电初始化界面，显示公司名称及欢迎界面: 图片占位符 (欢迎使用界面) 1.2 报警信息显示界面及防区状态循环界面: (防区状态循环界面) 图片占位符 图片占位符 (报警信息显示界面) 在此两界面下，按"↑""↓"键可来回切换;在报警界面下，Alarm:后面的数字表示当前的防区报警数量;All:后面的数字表示系统总共防区数量。 1.3系统功能参数设置: 按下键盘上的"菜单"键后，可调出进入至"设置系统参数"主界面;如下图: 图片占位符 此时光标条产生背景对比度，以示当时选定的菜单项;此时按下"确定"键后，提示输入密码:输入完密码后即可进入到"设置系统参数"的二级菜单页;如下图: 图片占位符 (输入密码界面，密码为4位，输入正确后自动进入二级菜单) 图片占位符 (设置系统参数二级菜单界面) 1.4防区设置(增加/删除防区) 在"设置系统参数"菜单下，通过按"↓"键，选中"防区设置"后，按"确定"键进入菜单;如下图: 图片占位符 (防区设置界面) 态; 1.4.1增加防区 ***,按"确定"键后即可增加相应编号的防区，反复操作即可增加更多的防区;如下图: 图片占位符 (增加防区界面) 1.4.2删除防区 在"防区设置界面"通过"↑""↓"键选中预删除的防区号，按一下键盘上的"删除"键后，弹出删除提示菜单后，按键盘上的"确定"键后即可删除当前防区;如下图: 图片占位符 (删除防区界面) 1.5快速布撤防操作 在"设置系统参数"菜单下，通过按"↓"键，选择"快速布撤防操作"后，按下"确定"键后进入至"快速布撤防操作"菜单，此时再通过"↑""↓"键选中预对围栏系统进行的操作后按下"确定"键即可;如下图: 图片占位符 (快速布撤防界面) 1.6单防区操作 在"设置系统参数"菜单下，通过"↑""↓"键选择"单防区操作"后，按下"确定"键后进入至"单防区操作"菜单，如下图: 图片占位符 (单防区操作界面) 在"单防区操作"界面，通过"↑""↓"键定位光标，输入预单防区操作的防区号:10(假设值)，然后按"↓"键将光标下移到电压设置行:(按"2"为高压，"1"为低压);再按"↓"键将光标下移到设置状态行:(按"0"为撤防，"1"为布防)，再按"确定"键即可对前端对应防区号的围栏主机进行相应的操作。 1.7定时布撤防设置 在"设置系统参数"菜单下，通过""键选择"定时布撤防设置"后，按下"确定"键后进入至"定时布撤防设置"菜单，如下图: 图片占位符 (定时布撤防设置界面) 通过"↑""↓"键可移动光标，输入预计的时间段;移至时间段最未端时，通过按下"0/1/2/3"键设置该时间段要进行的定时操作("0"=不操作，"1"=高压布防，"2"=低压布防，"3"=撤防); 1.8触发时间设置 在"设置系统参数"菜单下，通过"↑""↓"键选择"触发时间设置"后，按下"确定"键后进入至"触发时间设置"菜单，如下图: 图片占位符 (触发时间设置界面) 输入需设置围栏主机报警触发的时间参数(以秒为单位，最大3位数)后按下"确定"键即可，按"取消"键可退格时间参数重新输入时间。 1.9报警时间设置 在"设置系统参数"菜单下，通过"键选择"报警时间设置"后，按下"确定"键后进入至"报警时间设置"菜单，如下图: 图片占位符 (报警时间设置界面) 输入需设置围栏主机及中文LCD控制键盘报警的时间参数(以秒为单位，最大3位数)后按下"确定"键即可，按"取消"键可退格时间参数重新输入时间。 报警时间参数即为前端每台围栏主机的报警后自动 恢复的时间值及中文控制键盘的报警时间。 1.10防区号设置 在"设置系统参数"菜单下，通过"↑""↓"键选择"防区号设置"后，按下"确定"键后进入至"防区号设置"菜单，如下图: 图片占位符 (防区号设置界面) 通过"↑""↓"键移光标，输入旧防区号及新防区号后，按下"确定"即可将前端围栏主机的旧防区号改成新的防区号(注:假设前端围栏主机的防区号为"1"，要改成新的防区号为"2"，此时在此界面旧防区号输入:1，新防区号输入:2，确定完后，原先防区号为"1"的围栏主机就变成了防区号为"2")。 1.11键盘模式设置 在"设置系统参数"菜单下，通过"↑键选择"键盘模式设置"后，按下"确定"键后进入至"键盘模式设置"菜单，如下图: 图片占位符 (键盘模式设置界面) 通过"↑""↓"键移光标，输入键盘的编号:后按下"确定"键光标移动至键盘模式行，按下"0"表示将此键盘设置为从键盘模式，按下"1"表示将此键盘设置为主键盘模式(注:"0"=从键盘，"1"=主键盘，从键盘只能显示防区状态及防区报警信息，不能对整个系统进行布防，撤防等操作); 1.12时间设置 在"设置系统参数"菜单下，通过按"↑""↓"键选择"时间设置"后，按下"确定"键后进入至"时间设置"菜单，如下图: 图片占位符 (时间设置界面) 通过按"↑""↓"键移动光标，输入相应的时间年，月，日，小时，分钟后，按下"确定"键，设置时间完毕。 1.13密码设置 在"设置系统参数"菜单下，通过按"↑""↓"键选择"密码设置"后，按下"确定"键后进入至"密码设置"菜单，如下图: 图片占位符 (密码设置界面) 输入新的4位密码:****，，输错密码值时，可按"取消"键退格删除数字以重新输入新的密码，再按"确定"键完成密码的修改; 1.14恢复出厂时设置 在"设置系统参数"菜单下，通过按"↑""↓"键选择"恢复出厂时设置"后，按下"确定"键后进入至"恢复出厂时设置"菜单，如下图: 图片占位符 (恢复出厂时设置界面) 注:按下"确定"键即可将键盘的所有参数恢复至出厂默认参数;请在厂家的指导下谨慎操作! 1.15删除报警记录 在主菜单下，通过按"↑""↓"键选择"删除报警记录"后，按下"确定"键后提示输入密码:**** ,输入正确密码后，进入至"确定删除所有记录?"界面，按下"确定"键后，删除成功同时提示"无更多记录";如下图: 图片占位符 1.16删除操作记录 (删除记录确定界面) 在主菜单下，通过按"↑""↓"键选择"删除操作记录"后，按下"确定"键后提示输入密码:****，输入正确密码后，进入至"确定删除所有记录?"界面，按下"确定"键后，删除成功同时提示"无更多记录";如下图: 图片占位符 (删除记录确定界面) 第四章:系统日常操作 注:系统初始密码为:8888;安装调试完成后，请第一时间修改系统密码! 一.快速高低压布防 在系统"防区状态循环界面"或者"报警信息显示界面"下，如果系统当前菜单页不在此两界面下时，可通过按"菜单"键来切换至"防区状态循环界面"和"报警信息显示界面";然后按"布防"键后，提示输入密码:****即可进入"快速布防"菜单页;此时通过按"↑""↓"键选中需要进行"快速高压布防"或者"快速低压布防"后，按下"确定"键即可对整个系统进行相应的高压/低压布防操作;如下图: 图片占位符 二.快速撤防 (快速布防界面) 在系统"防区状态循环界面"或者"报警信息显示界面"下，如果系统当前菜单页不在此两界面下时，可通过按"菜单"键来切换至"防区状态循环"界面和"报警信息显示"界面;然后按"撤防"键后，提示输入密码:****即可进入至"快速撤防"菜单页;按下"确定"键即可对整个系统进行相应的撤防操作;如下图: 图片占位符 三.报警复位 (快速撤防界面) 当系统前端有围栏主机或者地址模块防区被触发时，键盘自动切换到"报警信息显示"界面，如下图: "报警信息显示"显示了当前的报警防区数量，及报警的触发条件(防拆，短路，断线，短接，模块防区报警);在报警触发时，键盘产生报警输出，同时前端围栏主机输出12V电压信号和开关量信号，此时按下"复位"键后，键盘报警恢复正常，同时前端围栏主机也恢复正常状态;且LCD控制键盘界面显示"当前无报警防区";如下图: 图片占位符 四:无线遥控器快速操作 下图:随金可以过过出厂围置药4继无线境的网时隔统进行"南打用用中限，围际，发位"操作: 图片占位符 五:报警记录查询 按下"菜单"键，让键盘切换到一级主菜下，通过"↑""↓"键选中"报警记录查询"即可进入报警查询菜单，此时显示当前最新一条报警的信息，可通过"↑""↓"键一条一条的查询;如下图: 图片占位符	脉冲电子围栏报警系统中文LCD控制键盘使用手册V1.0 # 第一章:脉冲电子围栏入侵报警系统简介 ## 尊敬的客户: 您好!感谢您使用本公司产品，为了更好更快的安装及使用本产品，请在使用前认真仔细地阅读本手册。 脉冲电子围栏系统包括脉冲电子围栏主机以及对其控制的PC主机、中文LCD液晶键盘，本手册针对脉冲电子围栏中文LCD控制键盘适用，如是您有任问技术问题或需要技术支持，请联系我公司，我公司将竭力为您服务。 ## 一、脉冲电子围栏主机概述 1.1绝对安全，根据GB/T7946-2008要求研发制造，并通过了公安部的形式检验。 1.2误报率低和适应性强 智能型脉冲电子围栏系统基本不受环境(如树木、小动物、震动等)和气候(如风、雪、雨、雾等)的 影响，不受地形高低和曲折程度的限制，误报率极低。 1.3阻挡和报警双重功能 智能型脉冲电子围栏系统的新概念是把企图入侵者阻挡在防区之外，不作案为目的。 能够实实在在给入 侵者一种威慑感和阻挡作用，使其不敢轻举妄动，达到防范为主，减少作案次数。 1.4连续工作、布防/撤防，按需设定。 1.6可根据用户要求和现场地理环境以及安全等级进行设计和安装。 并可和多种现代安防产品，例如电视监控系统、安防报警系统配套使用，以提高系统的安全防范等级。 1.7绝对安全及报警感知性 传统的高压脉冲电网警戒系统没有报警感知功能，仅仅以高压、大电流的方式阻止入侵者，极易造成入 侵者伤残，甚至死亡等严重后果。 智能型脉冲电子围栏系统采用了低能量的脉冲高压(5~10KV)。 由于能量 极低且作用时间极为短暂，因而对人体不会造成伤害。 一旦触及，也会因直接有触电感而离开。 ## 二、中文LCD控制键盘特点及性能参数 ### 功能特点: 1.可接128台脉冲电子围栏，中文液晶显示，两路RS485总线通讯接口，方便现场安装施工; 2.采用中文液晶显示，显示直观，操作方便 3.可同时远程控制128台高压脉冲围栏控制器 4.可以实时显示和控制各围栏控制器的状态(脉冲电压幅值、布防/撤防状态) 5.报警时显示对应防区的报警类型(防拆、短路、断线、短接)，同时有声音提示 6.一键布/撤防功能 7.可以查询报警历史记录. 8.可以实时显示线上电压 9.可查询操作记录防止管理人员对系统乱撤防等; 10.可控制前端继电器模块输出信号; 11.支持遥控器高，低压布防，撤防，复位等; 12.六个LED指示灯显示系统工作状态; 13.自带一路12V800MA电压报警输出及一路常开常闭信号可选输出; 14.可存储100条报警记录，及100条操作记录; ### 技术参数: 尺寸(长x宽x厚):19.5x14x2.9cm 重量:250克 工作环境:-20℃ +50℃;-0-85%湿度 工作电压:直流:12伏~16伏 工作电流(直流):静态50毫安;报警100毫安 中文液晶显示，显示控制设备的各类信息，包括报警、状态等。 # 第二章:中文LCD控制键盘说明 ## 一.中文LCD控制键盘面板示意图: (中文LCD控制键盘图) 图片占位符 1.正常有电状态时，电源指示灯亮 2.系统运行时，运行指示灯亮 3.键盘布防时，布防指示灯亮 4.系统有报警时，报警指示灯亮 5.有无线遥控器的控制信号时，信号指示灯亮 ## 二.接线端口 1.RS485通讯口2:键盘第二二路485 通讯接口; 2.RS485通讯口1:键盘第一路485通讯接口; 3. 12V， GND:为键盘12V供电接入口; 4.开关量:键盘报警开关量输出接口(常开，常闭可选，在键盘内部继电器旁的JP跳针); 5.警号输出接口:"+"接警号正极，"一"接警号负极; (接线端口示意图) 图片占位符 # 第三章:编程设置 注:系统初始密码为:8888;安装调试完成后，请第一时间修改系统密码! ## 一.系统菜单项及编程设置 ### 1.1系统上电初始化界面，显示公司名称及欢迎界面: 图片占位符 (欢迎使用界面) ### 1.2 报警信息显示界面及防区状态循环界面: (防区状态循环界面) 图片占位符 图片占位符 (报警信息显示界面) 在此两界面下，按"↑""↓"键可来回切换;在报警界面下，Alarm:后面的数字表示当前的防区报警数量;All:后面的数字表示系统总共防区数量。 ### 1.3系统功能参数设置: 按下键盘上的"菜单"键后，可调出进入至"设置系统参数"主界面;如下图: 图片占位符 此时光标条产生背景对比度，以示当时选定的菜单项;此时按下"确定"键后，提示输入密码:输入完密码后即可进入到"设置系统参数"的二级菜单页;如下图: 图片占位符 (输入密码界面，密码为4位，输入正确后自动进入二级菜单) 图片占位符 (设置系统参数二级菜单界面) ### 1.4防区设置(增加/删除防区) 在"设置系统参数"菜单下，通过按"↓"键，选中"防区设置"后，按"确定"键进入菜单;如下图: 图片占位符 (防区设置界面) 态; #### 1.4.1增加防区 ***,按"确定"键后即可增加相应编号的防区，反复操作即可增加更多的防区;如下图: 图片占位符 (增加防区界面) #### 1.4.2删除防区 在"防区设置界面"通过"↑""↓"键选中预删除的防区号，按一下键盘上的"删除"键后，弹出删除提示菜单后，按键盘上的"确定"键后即可删除当前防区;如下图: 图片占位符 (删除防区界面) ### 1.5快速布撤防操作 在"设置系统参数"菜单下，通过按"↓"键，选择"快速布撤防操作"后，按下"确定"键后进入至"快速布撤防操作"菜单，此时再通过"↑""↓"键选中预对围栏系统进行的操作后按下"确定"键即可;如下图: 图片占位符 (快速布撤防界面) ### 1.6单防区操作 在"设置系统参数"菜单下，通过"↑""↓"键选择"单防区操作"后，按下"确定"键后进入至"单防区操作"菜单，如下图: 图片占位符 (单防区操作界面) 在"单防区操作"界面，通过"↑""↓"键定位光标，输入预单防区操作的防区号:10(假设值)，然后按"↓"键将光标下移到电压设置行:(按"2"为高压，"1"为低压);再按"↓"键将光标下移到设置状态行:(按"0"为撤防，"1"为布防)，再按"确定"键即可对前端对应防区号的围栏主机进行相应的操作。 ### 1.7定时布撤防设置 在"设置系统参数"菜单下，通过""键选择"定时布撤防设置"后，按下"确定"键后进入至"定时布撤防设置"菜单，如下图: 图片占位符 (定时布撤防设置界面) 通过"↑""↓"键可移动光标，输入预计的时间段;移至时间段最未端时，通过按下"0/1/2/3"键设置该时间段要进行的定时操作("0"=不操作，"1"=高压布防，"2"=低压布防，"3"=撤防); ### 1.8触发时间设置 在"设置系统参数"菜单下，通过"↑""↓"键选择"触发时间设置"后，按下"确定"键后进入至"触发时间设置"菜单，如下图: 图片占位符 (触发时间设置界面) 输入需设置围栏主机报警触发的时间参数(以秒为单位，最大3位数)后按下"确定"键即可，按"取消"键可退格时间参数重新输入时间。 ### 1.9报警时间设置 在"设置系统参数"菜单下，通过"键选择"报警时间设置"后，按下"确定"键后进入至"报警时间设置"菜单，如下图: 图片占位符 (报警时间设置界面) 输入需设置围栏主机及中文LCD控制键盘报警的时间参数(以秒为单位，最大3位数)后按下"确定"键即可，按"取消"键可退格时间参数重新输入时间。 报警时间参数即为前端每台围栏主机的报警后自动 恢复的时间值及中文控制键盘的报警时间。 ### 1.10防区号设置 在"设置系统参数"菜单下，通过"↑""↓"键选择"防区号设置"后，按下"确定"键后进入至"防区号设置"菜单，如下图: 图片占位符 (防区号设置界面) 通过"↑""↓"键移光标，输入旧防区号及新防区号后，按下"确定"即可将前端围栏主机的旧防区号改成新的防区号(注:假设前端围栏主机的防区号为"1"，要改成新的防区号为"2"，此时在此界面旧防区号输入:1，新防区号输入:2，确定完后，原先防区号为"1"的围栏主机就变成了防区号为"2")。 ### 1.11键盘模式设置 在"设置系统参数"菜单下，通过"↑键选择"键盘模式设置"后，按下"确定"键后进入至"键盘模式设置"菜单，如下图: 图片占位符 (键盘模式设置界面) 通过"↑""↓"键移光标，输入键盘的编号:后按下"确定"键光标移动至键盘模式行，按下"0"表示将此键盘设置为从键盘模式，按下"1"表示将此键盘设置为主键盘模式(注:"0"=从键盘，"1"=主键盘，从键盘只能显示防区状态及防区报警信息，不能对整个系统进行布防，撤防等操作); ### 1.12时间设置 在"设置系统参数"菜单下，通过按"↑""↓"键选择"时间设置"后，按下"确定"键后进入至"时间设置"菜单，如下图: 图片占位符 (时间设置界面) 通过按"↑""↓"键移动光标，输入相应的时间年，月，日，小时，分钟后，按下"确定"键，设置时间完毕。 ### 1.13密码设置 在"设置系统参数"菜单下，通过按"↑""↓"键选择"密码设置"后，按下"确定"键后进入至"密码设置"菜单，如下图: 图片占位符 #### (密码设置界面) 输入新的4位密码:****，，输错密码值时，可按"取消"键退格删除数字以重新输入新的密码，再按"确定"键完成密码的修改; ### 1.14恢复出厂时设置 在"设置系统参数"菜单下，通过按"↑""↓"键选择"恢复出厂时设置"后，按下"确定"键后进入至"恢复出厂时设置"菜单，如下图: 图片占位符 (恢复出厂时设置界面) 注:按下"确定"键即可将键盘的所有参数恢复至出厂默认参数;请在厂家的指导下谨慎操作! ### 1.15删除报警记录 在主菜单下，通过按"↑""↓"键选择"删除报警记录"后，按下"确定"键后提示输入密码:**** ,输入正确密码后，进入至"确定删除所有记录?"界面，按下"确定"键后，删除成功同时提示"无更多记录";如下图: 图片占位符 ### 1.16删除操作记录 (删除记录确定界面) 在主菜单下，通过按"↑""↓"键选择"删除操作记录"后，按下"确定"键后提示输入密码:****，输入正确密码后，进入至"确定删除所有记录?"界面，按下"确定"键后，删除成功同时提示"无更多记录";如下图: 图片占位符 (删除记录确定界面) # 第四章:系统日常操作 注:系统初始密码为:8888;安装调试完成后，请第一时间修改系统密码! ## 一.快速高低压布防 在系统"防区状态循环界面"或者"报警信息显示界面"下，如果系统当前菜单页不在此两界面下时，可通过按"菜单"键来切换至"防区状态循环界面"和"报警信息显示界面";然后按"布防"键后，提示输入密码:****即可进入"快速布防"菜单页;此时通过按"↑""↓"键选中需要进行"快速高压布防"或者"快速低压布防"后，按下"确定"键即可对整个系统进行相应的高压/低压布防操作;如下图: 图片占位符 ## 二.快速撤防 (快速布防界面) 在系统"防区状态循环界面"或者"报警信息显示界面"下，如果系统当前菜单页不在此两界面下时，可通过按"菜单"键来切换至"防区状态循环"界面和"报警信息显示"界面;然后按"撤防"键后，提示输入密码:****即可进入至"快速撤防"菜单页;按下"确定"键即可对整个系统进行相应的撤防操作;如下图: 图片占位符 ## 三.报警复位 (快速撤防界面) 当系统前端有围栏主机或者地址模块防区被触发时，键盘自动切换到"报警信息显示"界面，如下图: "报警信息显示"显示了当前的报警防区数量，及报警的触发条件(防拆，短路，断线，短接，模块防区报警);在报警触发时，键盘产生报警输出，同时前端围栏主机输出12V电压信号和开关量信号，此时按下"复位"键后，键盘报警恢复正常，同时前端围栏主机也恢复正常状态;且LCD控制键盘界面显示"当前无报警防区";如下图: 图片占位符 ## 四:无线遥控器快速操作 下图:随金可以过过出厂围置药4继无线境的网时隔统进行"南打用用中限，围际，发位"操作: 图片占位符 ## 五:报警记录查询 按下"菜单"键，让键盘切换到一级主菜下，通过"↑""↓"键选中"报警记录查询"即可进入报警查询菜单，此时显示当前最新一条报警的信息，可通过"↑""↓"键一条一条的查询;如下图: 图片占位符
Question Rewriting✍️	Q1： What do the five mountains in China mean? A1： China's Five Mountains refer to five famous peaks located in China, and they are:... Q2： Among them, in which year Huashan was rated as an AAAAAA scenic spot... A2：2011 根据以上已知条件和问答内容，理解以下问题意图，并将问题以完整的形式输出: Q3：What about Mount Tai?	In which year was Mount Taishan rated as an AAAAA scenic spot.
Text Segmentation📋	LT-02A Infrared Thermometer Manual 1 Introduction Thank you for choosing the LT-02A series temperature sensor. The infrared temperature sensor can calculate the surface temperature of an object by measuring the infrared radiation emitted by the target without contact. Non-contact temperature measurement is the biggest advantage of infrared thermometers, allowing users to easily measure targets that are difficult to access or are moving. The LT-02A series temperature sensor is an integrated infrared temperature sensor where the sensor, optical system, and electronic circuitry are all housed within a stainless steel casing. The LT-02A series is easy to install, with standard threads on the metal casing for quick connection to mounting points. Additionally, the LT-02A series offers various options (such as air purgers, mounting brackets, adjustable mounting brackets, air purge protection sleeves, etc.) to meet the requirements of various working conditions. 2 Parameter Description a. Basic Performance Protection rating IP65 (NEMA-4) Ambient temperature 0~60°C Storage temperature -20~80°C Relative humidity 10-95% (non-condensing) Material Stainless steel Cable length 1.5m (standard), other special specifications (customizable) b. Electrical Parameters Operating power supply 24 VDC Maximum current 50mA Output signal 4~20mA or 0-5V linear c. Measurement Parameters Spectral range 8~14μm Temperature range 0~200°C Optical resolution 20:1 Response time 50 ms (95%) Temperature measurement accuracy ±0.5% of reading or ±0.5°C, whichever is greater Repeat accuracy ±0.5% of reading or ±0.5°C, whichever is greater Dimensions 113mm x φ18mm (length * diameter) Emissivity 0.95 fixed d. Optical Path Diagram Image placeholder 3 Working Principle and Precautions a. Infrared Temperature Measurement Principle All objects emit infrared energy, and the radiation intensity varies with temperature. Infrared thermometers generally use infrared radiation energy within the wavelength range of 0.8μm to 18μm. An infrared temperature sensor is a photoelectric sensor that receives infrared radiation and converts it into an electrical signal, which is then processed through electronic circuit amplification, linearization, and signal processing to display or output temperature. b. Maximum Distance and Size of the Measured Point. The size of the target and the optical characteristics of the infrared thermometer determine the maximum distance between the target and the measurement head. To avoid measurement errors, the target should ideally fill the field of view of the detector. Therefore, the measured point should always be smaller than the object or at least the same size as the target. C. Ambient Temperature The LT-02A series infrared temperature sensor can operate within an ambient temperature range of 0-60°C. Otherwise, please select a cooling protection sleeve. d. Lens Cleaning The instrument's lens must be kept clean to avoid measurement errors or even lens damage caused by contaminants such as dust and smoke. If dust adheres to the lens, it can be wiped clean with lens paper dipped in anhydrous alcohol. e. Electromagnetic Interference To prevent electromagnetic interference, please ensure the following measures: During installation, keep the infrared temperature sensor as far away as possible from sources of electromagnetic fields (such as electric motors, engines, high-power cables, etc.). If necessary, use a metal conduit. 4 Installation a Mechanical Installation The LT-02A series metal housing features an M18x1 thread, allowing for direct installation or installation via a mounting bracket. An adjustable mounting bracket facilitates easier adjustment of the measurement head. When aligning the target with the measurement head, ensure the optical path is unobstructed. b Electrical Installation Wiring Table placeholder For 4~20mA analog signal output. It uses a two-wire loop current output method. The connection to a display or controller has the following two typical applications (connection methods): Display/controller internally provides 24V power supply Image placeholder 5 Dimensions and Options a. Dimensions Image placeholder Figure 5-1a Dimensions Image placeholder Figure 5-1b Dimensions Image placeholder Cooling Jacket Dimensions Image placeholder Air Purge Cooling Jacket 6 Packing List Standard Accessories: LT-02A series temperature sensor (with 1.5-meter cable), fixing nut, user manual. Please check the product packaging for any damage. Immediately notify your local agent if any damage is found, and retain the damaged packaging for inspection. You can find the product serial number on the product label. Please provide the serial number when contacting customer service for maintenance, ordering parts, or repairs. 7 Maintenance If you encounter any issues while using the LT-02A series temperature sensor, please contact our service department. Our customer service team will provide technical support regarding temperature sensor setup, calibration procedures, and maintenance. Experience shows that these issues can usually be resolved over the phone. Please contact our customer service before deciding to return the instrument. 8 Warranty Each instrument undergoes quality inspection procedures. If any issues occur, contact your service provider immediately. The instrument has a 12-month warranty from the date of shipment. After expiration, the manufacturer provides an additional 6-month warranty for repairs or component replacement. Damage caused by unauthorized disassembly or improper use is not covered by the warranty. During the warranty period, faulty instruments will be replaced, calibrated, or repaired free of charge, with shipping costs borne by the sender. The manufacturer reserves the right to repair the instrument or replace components. If the malfunction is due to user misuse, the user must bear the repair costs and may inquire about charges in advance.	LT-02A Infrared Thermometer Manual # 1 Introduction Thank you for choosing the LT-02A series temperature sensor. The infrared temperature sensor can calculate the surface temperature of an object by measuring the infrared radiation emitted by the target without contact. Non-contact temperature measurement is the biggest advantage of infrared thermometers, allowing users to easily measure targets that are difficult to access or are moving. The LT-02A series temperature sensor is an integrated infrared temperature sensor where the sensor, optical system, and electronic circuitry are all housed within a stainless steel casing. The LT-02A series is easy to install, with standard threads on the metal casing for quick connection to mounting points. Additionally, the LT-02A series offers various options (such as air purgers, mounting brackets, adjustable mounting brackets, air purge protection sleeves, etc.) to meet the requirements of various working conditions. # 2 Parameter Description ## a. Basic Performance Protection rating IP65 (NEMA-4) Ambient temperature 0~60°C Storage temperature -20~80°C Relative humidity 10-95% (non-condensing) Material Stainless steel Cable length 1.5m (standard), other special specifications (customizable) ## b. Electrical Parameters Operating power supply 24 VDC Maximum current 50mA Output signal 4~20mA or 0-5V linear ## c. Measurement Parameters Spectral range 8~14μm Temperature range 0~200°C Optical resolution 20:1 Response time 50 ms (95%) Temperature measurement accuracy ±0.5% of reading or ±0.5°C, whichever is greater Repeat accuracy ±0.5% of reading or ±0.5°C, whichever is greater Dimensions 113mm x φ18mm (length * diameter) Emissivity 0.95 fixed ## d. Optical Path Diagram Image placeholder # 3 Working Principle and Precautions ## a. Infrared Temperature Measurement Principle All objects emit infrared energy, and the radiation intensity varies with temperature. Infrared thermometers generally use infrared radiation energy within the wavelength range of 0.8μm to 18μm. An infrared temperature sensor is a photoelectric sensor that receives infrared radiation and converts it into an electrical signal, which is then processed through electronic circuit amplification, linearization, and signal processing to display or output temperature. ## b. Maximum Distance and Size of the Measured Point. The size of the target and the optical characteristics of the infrared thermometer determine the maximum distance between the target and the measurement head. To avoid measurement errors, the target should ideally fill the field of view of the detector. Therefore, the measured point should always be smaller than the object or at least the same size as the target. ## C. ## Ambient Temperature The LT-02A series infrared temperature sensor can operate within an ambient temperature range of 0-60°C. Otherwise, please select a cooling protection sleeve. ## d. Lens Cleaning The instrument's lens must be kept clean to avoid measurement errors or even lens damage caused by contaminants such as dust and smoke. If dust adheres to the lens, it can be wiped clean with lens paper dipped in anhydrous alcohol. ## e. Electromagnetic Interference To prevent electromagnetic interference, please ensure the following measures: During installation, keep the infrared temperature sensor as far away as possible from sources of electromagnetic fields (such as electric motors, engines, high-power cables, etc.). If necessary, use a metal conduit. # 4 Installation ## a Mechanical Installation The LT-02A series metal housing features an M18x1 thread, allowing for direct installation or installation via a mounting bracket. An adjustable mounting bracket facilitates easier adjustment of the measurement head. When aligning the target with the measurement head, ensure the optical path is unobstructed. ## b Electrical Installation Wiring Table placeholder For 4~20mA analog signal output. It uses a two-wire loop current output method. The connection to a display or controller has the following two typical applications (connection methods): Display/controller internally provides 24V power supply Image placeholder # 5 Dimensions and Options ## a. Dimensions Image placeholder Figure 5-1a Dimensions Image placeholder Figure 5-1b Dimensions Image placeholder Cooling Jacket Dimensions Image placeholder Air Purge Cooling Jacket # 6 Packing List Standard Accessories: LT-02A series temperature sensor (with 1.5-meter cable), fixing nut, user manual. Please check the product packaging for any damage. Immediately notify your local agent if any damage is found, and retain the damaged packaging for inspection. You can find the product serial number on the product label. Please provide the serial number when contacting customer service for maintenance, ordering parts, or repairs. # 7 Maintenance If you encounter any issues while using the LT-02A series temperature sensor, please contact our service department. Our customer service team will provide technical support regarding temperature sensor setup, calibration procedures, and maintenance. Experience shows that these issues can usually be resolved over the phone. Please contact our customer service before deciding to return the instrument. # 8 Warranty Each instrument undergoes quality inspection procedures. If any issues occur, contact your service provider immediately. The instrument has a 12-month warranty from the date of shipment. After expiration, the manufacturer provides an additional 6-month warranty for repairs or component replacement. Damage caused by unauthorized disassembly or improper use is not covered by the warranty. During the warranty period, faulty instruments will be replaced, calibrated, or repaired free of charge, with shipping costs borne by the sender. The manufacturer reserves the right to repair the instrument or replace components. If the malfunction is due to user misuse, the user must bear the repair costs and may inquire about charges in advance.

Note: For specialized tasks, in-domain post-training is further applied.

📚 Citation

If you find our work useful in your research, please consider citing the following paper:

@article{youtu-llm,
  title={Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language Models},
  author={Tencent Youtu Lab},
  year={2025},
  eprint={2512.24618},
  archivePrefix={arXiv},
  primaryClass={cs.CL},
  url={https://arxiv.org/abs/2512.24618}, 
}