基于多语义情景协同感知的煤矿执法系统研究
Research on coal mine law enforcement system based on multi-semantic scene collaborative perception
-
摘要: 研发了基于多语义情景协同感知的煤矿执法系统，系统包括矿山安全生产执法平台、移动执法设备和煤矿安全管控云平台；通过面向多语义情景协同感知的多模态融合技术，融合文本、图像、语音、视频、空间位置等多元信息，构建多模态多情景决策模型；通过信息转换和融合，实现移动执法的情景识别、业务自动导航；构建了闭环执法链路，通过多模态数据融合方法自动识别执法场景，并触发执法任务、执法流程、执法方法，实现井下精准执法，执法数据可传输到煤矿安全管控云平台中，极大提高了监察执法的高效性和客观性。
-
关键词:
- 煤矿安全监察执法系统 /
- 云平台 /
- 情景感知 /
- 业务导航 /
- 多模态融合
Abstract: A coal mine law enforcement system based on multi-semantic scenario collaborative perception is developed, which includes mine safety production law enforcement platform, mobile law enforcement equipment and mine safety control cloud platform. Through the multi-modal fusion technology for multi-semantic scene collaborative perception, the multi-modal and multi situation decision-making model is constructed by fusing multiple information such as text, image, voice, video, spatial location and so on. Through information transformation and fusion, mobile law enforcement scene recognition and business automatic navigation can be realized. A closed-loop law enforcement link is constructed to automatically identify law enforcement scenarios through multimodal data fusion methods, and trigger law enforcement tasks, law enforcement processes, and law enforcement methods, so as to achieve precise law enforcement underground. Law enforcement data can be transmitted to the coal mine safety management and control cloud platform, which greatly improves the efficiency, objectivity of supervision and law enforcement. -
-
[1] 郜彤，刘传安.煤矿安全监察移动执法终端软件研究与设计[J].中国煤炭，2018，44（3）：105. GAO Tong, LIU Chuan’an. Research and design of mobile law-enforcement terminal software for coal mine safety supervision[J]. China Coal, 2018, 44（3）: 105.
[2] 刘梅华，苗可彬.基于捷联惯性导航的煤矿监察执法系统设计与应用[J].煤炭工程，2021，53（2）：159. LIU Meihua, MIAO Kebin. Design and application of coal mine supervision and law enforcement system based on strapdown inertial navigation[J]. Coal Engineering, 2021, 53（2）: 159.
[3] 罗冬祥.煤矿安全监察执法现场处置措施研究[D].长沙：湖南大学，2020. [4] 王浩.煤矿安全生产执法文书智能生成系统[D].太原：山西大学，2016. [5] 刘建，郜彤，刘传安.基于“国家安监云”的煤矿安监执法平台研究[J].煤矿安全，2018，49（1）：237-240. LIU Jian, GAO Tong, LIU Chuan’an. Research on coal mine safety supervision and law enforcement platform based on national security supervision cloud[J]. Safety in Coal Mines, 2018, 49（1）: 237-240.
[6] 李祥春，郭帆帆，聂百胜，等.煤矿安全监管监察研究现状及展望[J].煤矿安全，2020，51（6）：246-250. LI Xiangchun, GUO Fanfan, NIE Baisheng, et al. Current status and prospect of coal mine safety supervision and inspection[J]. Safety in Coal Mines, 2020, 51（6）: 246-250.
[7] 杨悦，王士同.基于随机特征映射的四层多核学习方法[J].计算机应用，2022，42（1）：16-25. YANG Yue, WANG Shitong. Four-layer multiple kernel learning method based on random feature mapping[J]. Journal of Computer Applications, 2022, 42（1）: 16-25.
[8] 王梅，许传海，刘勇.基于神经正切核的多核学习方法[J].计算机应用，2021，41（12）：3462-3467. WANG Mei, XU Chuanhai, LIU Yong. Multi-kernel learning method based on neural tangent kernel[J]. Journal of Computer Applications, 2021, 41（12）: 3462.
[9] Zhen-zhong Lan, Lei Bao, Shoou-I Yu, et al. Multimedia classification and event detection using double fusion[J]. Multimedia Tools and Applications, 2014, 71（1）: 333-347. [10] 李柯徵，王海涌.基于改进的多模态神经网络图像描述方法[J].计算机应用与软件，2021，38（9）：153. LI Kezheng, WANG Haiyong. An improved imaged captioning method based on multimodal neural network[J]. Computer Applications and Software, 2021, 38（9）: 153.
[11] 贺建伟.煤矿井下连续采煤机定位方法研究[J].工矿自动化，2021，47（10）：42-48. HE Jianwei. Research on the positioning method of continuous shearer in coal mines[J]. Industry and Mine Automation, 2021, 47（10）: 42-48.
[12] 王林.基于多模信息融合的采煤机精准定位方法[D].徐州：中国矿业大学，2021. [13] 刘福朝，刘轩炜，李健宇，等.低成本捷联微惯性测量单元设计与误差补偿[J].电子测试，2022，36（6）：28-30. LIU Fuchao, LIU Xuanwei, LI Jianyu, et al. Low cost strapdown MIMU design and error compensation[J]. Electronic Test, 2022, 36（6）: 28-30.
[14] 梁哲，周召发，徐志浩，等.基于多区间参数修正的角速率姿态算法[J].系统工程与电子技术，2022，44（5）: 1636-1643. LIANG Zhe, ZHOU Zhaofa, XU Zhihao, et a1. Angular rate attitude algorithm based on multi-interval information correction[J]. Systems Engineering and Electronics, 2022, 44（5）: l 636-l 643.
-
期刊类型引用(2)
1. 吴丽丽，李金鹏，武雨祺，郑贺崇. 抗冲击地压复合夹芯组合板的静、动态力学性能研究. 振动与冲击. 2024(17): 1-11+18 . 
百度学术
2. 张东超. 支撑物对预折纹吸能构件力学特性研究. 机电产品开发与创新. 2024(05): 32-36 . 百度学术
其他类型引用(1)
计量
- 文章访问数: 29
- HTML全文浏览量: 2
- PDF下载量: 3
- 被引次数: 3
下载:
