雨量传感器

船舶气象仪-一款有条不紊的微型气象传感器#2022已更新【品牌型号：天合环境TH-Y6】雷雨大风天气对船舶航行安全会带来很大影响，船舶在大风浪区域航行，将出现较剧烈的摇荡运动、降速、航向不稳定，以及由此引起的其他操纵方面的困难，甚至出现难以预料的危险，而且大雨、暴雨会引起能见度下降，影响航行安全。一、产品简介山东天合环境科技有限公司作为专业研发生产销售微型气象仪的企业，一直致力于微型气象仪和气象环境解决方案推广应用。具有完整的生产链、实力雄厚的技术团队和全面的营销团队，我们研发生产的超声波风速风向仪、五要素微气象仪、六要素微气象仪和小型自动气象站等气象产品，已广泛应用到气象监测、城市环境监测、风力发电、航海船舶、航空机场、桥梁隧道等领域，客户遍布全国各地，并取得了良好的社会效益和经济效益。TH-Y6型六要素微气象仪原理为发射连续变频超声波信号，通过测量相对相位来检测风速风向。与传统的超声波风速风向仪相比，我司产品克服了对高精度计时器的需求，避免了因传感器启动延时、解调电路延时、温度变化而造成的测量不准问题。TH-Y6型六要素微气象仪创新性地将气象标准六参数（环境温度、相对湿度、风速、风向、大气压力、压电雨量）通过一个高集成度结构来实现，可实现户外气象参数24小时连续在线监测，通过数字量通讯接口将六项参数一次性输出给用户。二、产品特点1、顶盖隐藏式超声波探头，避免雨雪堆积的干扰，避免自然风遮挡2、原理为发射连续变频超声波信号，通过测量相对相位来检测风速风向3、风速、风向、温度、湿度、大气压力、压电雨量六要素一体式4、采用先进的传感技术，实时测量，无启动风速☆5、抗干扰能力强，具有看门狗电路,自动复位功能,保证系统稳定运行6、高集成度，无移动部件，零磨损7、免维护，无需现场校准8、采用ASA工程塑料室外应用常年不变色9、产品设计输出信号标配为RS485通讯接口（MODBUS协议）；可选配232、USB、以太网接口，支持数据实时读取☆10、可选配无线传输模块，最小传输间隔1分钟11、探头为卡扣式设计，解决了运输、安装过程松动不准的问题☆三、技术参数1、风速：0～60m/s（±0.1m/s）；2、风向：0～360°（±2°）；3、空气温度：-40-60℃（±0.3℃）；4、空气湿度：0-100%RH（±3%RH）；5、大气压力：300-1100hpa（±0.25%）；6、压电雨量：0-4mm/min（±4%）7、功率:1.08W8、生产企业具有ISO质量管理体系、环境管理体系和职业健康管理体系认证☆9、生产企业具有知识产权管理体系认证证书和计算机软件注册证书☆四、产品尺寸图五、产品结构图六、注意事项1.传感器水平周围1米半径无遮挡，避免水滴飞溅影响2.传感器安装位置应避开强机械振动源3.传感器安装上方应为开阔区域，雨滴应直接滴落至传感器，应免二次滴落和连续水流冲击

德国lambrecht风速仪/lambrecht风速传感器现货促销德国Lambrecht(兰博瑞)公司是有150多年历史的老字号气象产品生产厂家，能提供地面气象站系统以及组成地面气象系统的各种分立元件、风速传感器、风向传感器、雨量计、大气压力计、气象系统、温湿度计、辐射等德国Lambrecht风向传感器主要特点是：稳定性能好、精度高、寿命长。该公司产品在世界各地气象、工业、环保尤其是在海洋、船舶和军队得到广泛的应用德国Lambrecht风向传感器测量范围: 0.3...75 m/s精确度: ± 0.3 m/s =10 m/s ± 1% FS ...50 m/s分辨率: 0.1 m/s起始风速: 0.3 m/s输出: 0/4...20 mA = 0...75 m/s- 外壳采用经阳极处理的防海水腐蚀的铝材- 含12 m 可插接导线, 含有内部加热装置，高端传感器德国Lambrecht风速传感器技术参数测量范围: 0...360°分辨率: 2,5°输出: 0/4...20 mA = 0...360° 3 x 0 … 10 VDC (electrical wave)起始风速: 0.7 m/s供电电压: 24 VDC (10...30 VDC)风速传感器 (14575)测量范围: 0.7...35 m/s分辨率: 0.1 m/s输出: 0/4...20 mA = 0...35 m/s0…700 Hz = 0...35 m/s- 外壳采用防海水腐蚀的铝材，插接连接- 认证的传感器, 含有内部加热装置德国Lambrecht风向传感器、风向传感器、进口风向传感器、风向仪、风速风向仪、风向标、Lambrecht风向传感器供应德国lambrecht风速仪/lambrecht风速传感器中国总代理 单位名称：南京铭奥仪器设备有限公司 联系人：张先生联系电话：025-87163873 18913964277 网站：www.mingaoyq.com

HPV 茎流量传感器/Sap Flow SensorHPV茎流量传感器是一款校准型、低成本的热脉冲液流传感器，输出校准液流量、热速、茎水含量、茎温等数据，功耗低，内置加热控制，同时改善了传统的加热方式，其原理采用双方法（DMA）热脉冲法，测量范围：-200~+1000cm/hr(热流速度)或-100~+2000cm3/cm2/hr (茎流通量密度)，可广泛用于于茎流量监测、植物茎流蒸发计算、植物茎流蒸腾量、植物灌溉等植物茎流是树木内部的“水”运动，而蒸腾是从叶片通过光合作用蒸发流出的水分。树液流量和蒸腾量之间有很强的关联性，通常理解是同一回事。但是，严格地说，它们是不同的，这体现在它们是如何被测量的。SAP流量以L/hr（或每天、每周等）为单位进行测量。蒸腾量以每小时、每天、每星期等毫米（mm）为单位测量。 蒸散量=蒸腾量+蒸发量 蒸腾量以毫米为测量单位，可与降雨量以毫米计作比较。随着时间的推移，降雨量（水输入）应与蒸腾量（输出）相匹配。如果蒸腾作用更高，通常是树木作物的蒸腾作用，那么这种差异必须通过灌溉来弥补。 蒸发量（evaporation），蒸发量是指在一定时段内，由土壤或水中的水分经蒸发而散布到空中的量。1mm(降雨量)=1㎡地面1kg水1mm(蒸腾量)=1㎡叶面积的1升树液流量（水） 例如：在果园和葡萄园等有管理的树木作物系统中，蒸发量与蒸腾量相比非常小。因此，为了简化测量，通常忽略蒸发量，将蒸腾量取为平均蒸散量（ETo）。 技术指标测量范围：-200~+1000cm/hr(热流速度)分辨率：0.001cm/hr准确度：±0.1cm/hr探针尺寸：φ1.3mm*L30mm温度位置：外10mm，内20mm针距：6mm探针材质：316不锈钢温度范围：-30~+70℃响应时间：200ms加热电阻：39Ω，400J/m电源：12V DC电流：空闲5mA, 测量270mA信号输出：SDI-12线缆：5m，最大60m茎流量传感器参考文献：1. Kim, H.K. Park, J. Hwang, I. Investigating water transport through the xylem network in vascular plants.J. Exp. Bot. 2014, 65, 1895–1904. [CrossRef] [PubMed]2. Steppe, K. Vandegehuchte, M.W. Tognetti, R. Mencuccini, M. Sap flow as a key trait in the understanding of plant hydraulic functioning. Tree Physiol. 2015, 35, 341–345. [CrossRef] [PubMed]3. Vandegehuchte, M.W. Steppe, K. Sap-flux density measurement methods: Working principles andapplicability. Funct. Plant Biol. 2013, 40, 213–223. [CrossRef]4. Marshall, D.C. Measurement of sap flow in conifers by heat transport. Plant Physiol. 1958 , 33, 385–396.[CrossRef] [PubMed]5. Cohen, Y. Fuchs, M. Green, G.C. Improvement of the heat pulse method for determining sap flow in trees. Plant Cell Environ. 1981, 4, 391–397. [CrossRef]6. Green, S.R. Clothier, B. Jardine, B. Theory and practical application of heat pulse to measure sap flow.Agron. J. 2003, 95, 1371–1379. [CrossRef]7. Burgess, S.S.O. Adams, M.A. Turner, N.C. Beverly, C.R. Ong, C.K. Khan, A.A.H. Bleby, T.M. An improved heat-pulse method to measure low and reverse rates of sap flow in woody plants. Tree Physiol. 2001 , 21, 589–598. [CrossRef]8. Forster, M.A. How reliable are heat pulse velocity methods for estimating tree transpiration? Forests 2017 , 8, 350. [CrossRef]9. Bleby, T.M. McElrone, A.J. Burgess, S.S.O. Limitations of the HRM: Great at low flow rates, but no yet up to speed? In Proceedings of the 7th International Workshop on Sap Flow: Book of Abstracts, Seville, Spain, 22–24 October 2008.10. Pearsall, K.R. Williams, L.E. Castorani, S. Bleby, T.M. McElrone, A.J. Evaluating the potential of a novel dual heat-pulse sensor to measure volumetric water use in grapevines under a range of flow conditions. Funct. Plant Biol. 2014, 41, 874–883. [CrossRef]11. Clearwater, M.J. Luo, Z. Mazzeo, M. Dichio, B. An external heat pulse method for measurement of sap flow through fruit pedicels, leaf petioles and other small-diameter stems. Plant Cell Environ. 2009 , 32, 1652–1663.[CrossRef]12. Green, S.R. Romero, R. Can we improve heat-pulse to measure low and reverse flows? Acta Hortic. 2012 , 951, 19–29. [CrossRef]13. Green, S. Clothier, B. Perie, E. A re-analysis of heat pulse theory across a wide range of sap flows. Acta Hortic. 2009, 846, 95–104. [CrossRef]14. Ferreira, M.I. Green, S. Concei??o, N. Fernández, J. Assessing hydraulic redistribution with thecompensated average gradient heat-pulse method on rain-fed olive trees. Plant Soil 2018 , 425, 21–41.[CrossRef]15. Romero, R. Muriel, J.L. Garcia, I. Green, S.R. Clothier, B.E. Improving heat-pulse methods to extend the measurement range including reverse flows. Acta Hortic. 2012, 951, 31–38. [CrossRef]16. Testi, L. Villalobos, F. New approach for measuring low sap velocities in trees. Agric. Meteorol. 2009 , 149, 730–734. [CrossRef]17. Vandegehuchte, M.W. Steppe, K. Sapflow+: A four-needle heat-pulse sap flow sensor enabling nonempirical sap flux density and water content measurements. New Phytol. 2012, 196, 306–317. [CrossRef] [PubMed]18. Kluitenberg, G.J. Ham, J.M. Improved theory for calculating sap flow with the heat pulse method.Agric. For. Meteorol. 2004, 126, 169–173. [CrossRef]19. Vandegehuchte, M.W. Steppe, K. Improving sap-flux density measurements by correctly determiningthermal diffusivity, differentiating between bound and unbound water. Tree Physiol. 2012 , 32, 930–942.[CrossRef]20. Looker, N. Martin, J. Jencso, K. Hu, J. Contribution of sapwood traits to uncertainty in conifer sap flow as estimated with the heat-ratio method. Agric. For. Meteorol. 2016, 223, 60–71. [CrossRef]21. Edwards, W.R.N. Warwick, N.W.M. Transpiration from a kiwifruit vine as estimated by the heat pulsetechnique and the Penman-Monteith equation. N. Z. J. Agric. Res. 1984, 27, 537–543. [CrossRef]22. Becker, P. Edwards, W.R.N. Corrected heat capacity of wood for sap flow calculations. Tree Physiol 1999 , 19, 767–768. [CrossRef]23. Hogg, E.H. Black, T.A. den Hartog, G. Neumann, H.H. Zimmermann, R. Hurdle, P.A. Blanken, P.D. Nesic, Z. Yang, P.C. Staebler, R.M. et al. A comparison of sap flow and eddy fluxes of water vapor from aboreal deciduous forest. J. Geophys. Res. 1997, 102, 28929–28937. [CrossRef]24. Barkas, W.W. Fibre saturation point of wood. Nature 1935, 135, 545. [CrossRef]25. Kollmann, F.F.P. Cote, W.A., Jr. Principles of Wood Science and Technology: Solid Wood Springer: Berlin Heidelberg, Germany, 1968.26. Swanson, R.H. Whitfield, D.W.A. A numerical analysis of heat pulse velocity and theory. J. Exp. Bot. 1981 ,32, 221–239. [CrossRef]27. Barrett, D.J. Hatton, T.J. Ash, J.E. Ball, M.C. Evaluation of the heat pulse velocity technique for measurement of sap flow in rainforest and eucalypt forest species of south-eastern Australia. Plant Cell Environ. 1995 , 18, 463–469. [CrossRef]28. Biosecurity Queensland. Environmental Weeds of Australia for Biosecurity Queensland Edition Queensland Government: Brisbane, Australia, 2016.29. Steppe, K. de Pauw, D.J.W. Doody, T.M. Teskey, R.O. A comparison of sap flux density using thermaldissipation, heat pulse velocity and heat field deformation methods. Agric. For. Meteorol. 2010 , 150, 1046–1056. [CrossRef]30. López-Bernal, A. Testi, L. Villalobos, F.J. A single-probe heat pulse method for estimating sap velocity in trees. New Phytol. 2017, 216, 321–329. [CrossRef] [PubMed]31. Forster, M.A. How significant is nocturnal sap flow? Tree Physiol. 2014, 34, 757–765. [CrossRef] [PubMed]32. Cohen, Y. Fuchs, M. Falkenflug, V. Moreshet, S. Calibrated heat pulse method for determining water uptake in cotton. Agron. J. 1988, 80, 398–402. [CrossRef]33. Cohen, Y. Takeuchi, S. Nozaka, J. Yano, T. Accuracy of sap flow measurement using heat balance and heat pulse methods. Agron. J. 1993, 85, 1080–1086. [CrossRef]34. Lassoie, J.P. Scott, D.R.M. Fritschen, L.J. Transpiration studies in Douglas-fir using the heat pulse technique. For. Sci. 1977, 23, 377–390.35. Wang, S. Fan, J. Wang, Q. Determining evapotranspiration of a Chinese Willow stand with three-needleheat-pulse probes. Soil Sci. Soc. Am. J. 2015, 79, 1545–1555. [CrossRef]36. Bleby, T.M. Burgess, S.S.O. Adams, M.A. A validation, comparison and error analysis of two heat-pulse methods for measuring sap flow in Eucalyptus marginata saplings. Funct. Plant Biol. 2004 , 31, 645–658.[CrossRef]37. Madurapperuma, W.S. Bleby, T.M. Burgess, S.S.O. Evaluation of sap flow methods to determine water use by cultivated palms. Environ. Exp. Bot. 2009, 66, 372–380. [CrossRef]38. Green, S.R. Measurement and modelling the transpiration of fruit trees and grapevines for irrigationscheduling. Acta Hortic. 2008, 792, 321–332. [CrossRef]39. Intrigliolo, D.S. Lakso, A.N. Piccioni, R.M. Grapevine cv. ‘Riesling’ water use in the northeastern UnitedStates. Irrig. Sci. 2009, 27, 253–262. [CrossRef]40. Eliades, M. Bruggeman, A. Djuma, H. Lubczynski, M. Tree water dynamics in a semi-arid, Pinus brutiaforest. Water 2018, 10, 1039. [CrossRef]41. Zhao, C.Y. Si, J.H. Qi, F. Yu, T.F. Li, P.D. Comparative study of daytime and nighttime sap flow of Populus euphratica. Plant Growth Regul. 2017, 82, 353–362. [CrossRef]42. Deng, Z. Guan, H. Hutson, J. Forster, M.A. Wang, Y. Simmons, C.T. A vegetation focused soil-plant-atmospheric continuum model to study hydrodynamic soil-plant water relations. Water Resour. Res. 2017, 53, 4965–4983. [CrossRef]43. Doronila, A.I. Forster, M.A. Performance measurement via sap flow monitoring of three Eucalyptus species for mine site and dryland salinity phytoremediation. Int. J. Phytoremed. 2015, 17, 101–108. [CrossRef]44. López-Bernal, á. Alcántara, E. Villalobos, F.J. Thermal properties of sapwood fruit trees as affected byanatomy and water potential: Errors in sap flux density measurements based on heat pulse methods. Trees2014, 28, 1623–1634. [CrossRef]创新点：HPV茎流量传感器是一款校准型、低成本的热脉冲液流传感器，输出校准液流量、热速、茎水含量、茎温等数据，功耗低，内置加热控制，同时改善了传统的加热方式，其原理采用双方法（DMA）热脉冲法，测量范围：-200~+1000cm/hr(热流速度)或-100~+2000cm3/cm2/hr (茎流通量密度)，可广泛用于于茎流量监测、植物茎流蒸发计算、植物茎流蒸腾量、植物灌溉等植物茎流是树木内部的“水”运动，而蒸腾是从叶片通过光合作用蒸发流出的水分。树液流量和蒸腾量之间有很强的关联性，通常理解是同一回事。但是，严格地说，它们是不同的，这体现在它们是如何被测量的。HPV 植物茎流传感器/植物液流计