变电站典型故障智能研判的实践与探索

变电站集中监控后,监控员对故障信息的筛和选提取以及分析判断汇报只能完全依赖于经验和业务水平,致使监控员的故障处置效率降低。针对这一现状,嘉兴地调利用电网故障类型和监控信息的归纳性,结合电网设备配置原则、设备操作轨迹和继电保护安全自动装置整定原则,对变电站典型故障智能研判进行实践与探索,建立了《变电站集中监控设备典型告警信息规则库》,协助监控员快速筛选提取重要有效信息,并分析判断汇报设备故障异常,实现了变电站典型故障初步智能研判,并以线路单一故障为切入点,开发了在线诊断和告警软件,故障信息的筛选提取以及分析判断工作都将由软件自动完成,实现了变电站线路单一故障的智能研判,大大提升了监控员的事故应急处置效率。     

肥沙混施对盐碱地冬小麦耗水特性与生长的影响

为解析春限一水条件下盐碱地改良措施对小麦耗水和产量调控作用,于2015—2018年连续3个冬小麦生长季,设置耕层掺黄河泥沙(SS)、配施生物有机肥(FF)和掺黄河泥沙配施生物有机肥(SF)3个处理,以不作处理为对照(CK),研究不同处理下农田土壤水分变化和冬小麦干物质积累规律。结果表明:连续3年产量水平为3317.77~5449.52 kg/hm^2,各处理间以SF处理的籽粒产量最高,该处理与CK相比,籽粒产量提高35%~51%;总耗水量变幅为352.85~394.89 mm,不同处理间总耗水量均以CK最低,以SF处理最高(361.81~394.89 mm);农田水分利用效率变幅为9.01~13.96 kg/(hm^2·mm),以SF处理最高(12.02~13.96 kg/(hm^2·mm)),比CK高33%~48%,其次为FF处理和SS处理,分别比CK高9%~32%、9%~18%。SS或FF处理可增加冬小麦拔节前0~200 cm土层贮水量,增大拔节至成熟阶段的耗水量及其占总耗水量的比例,促进冬小麦对土壤贮水和深层土壤水分的利用,最终提高冬小麦的生物量和籽粒产量。冬小麦籽粒产量与干物质积累量、总穗粒数呈显著正相关;水分利用效率与冬小麦耗水量、产量呈二次曲线关系。在本研究条件下,随着籽粒产量提高,水分利用效率快速增加;而随耗水量增加,各处理间水分利用效率增减表现不同。综合考虑产量、收获指数和水分利用效率,确定掺黄河泥沙配施生物有机肥处理(SF)是本研究条件下的最佳处理。     

稻麦联合收获机秸秆撒布板调节方式试验与优化

目前,秸秆还田作为保护性耕作的重要一环,其各阶段技术均广泛引入我国稻麦联合收获机的设计与制造过程中。其中,在秸秆切碎后的抛撒环节,国内大部分收获机型采用撒布板形式,但其调节方式单一、调节角度范围较小,限制了秸秆的田间利用率和还田效果。为此,以久保田988机型为例,以撒布板抛撒位置为试验因素,设计了相应角度调节组合的田间试验,并以秸秆抛撒不均匀度为鉴定依据,分析了其撒布板角度对秸秆抛撒效果的影响。通过对实验数据进行分析,自行设计了一种可手动、电动调节的撒布板角度调节机构,且通过田间试验验证其有效可行,大大提高了秸秆还田利用率,促进了能源再生利用。     

Effect of soil sealing on the microbial biomass,N transformation and related enzyme activities at various depths of soils in urban area of Beijing,China

Purpose  

Sealing of soils prevents the exchange of gas, water and nutrient between soil and other environmental compartments, and affects urban N flux, thereby resulting in certain negative impacts on soil functioning and urban environment. However, little information is available on the biogeochemical cycling and biological activities after sealing of soils in urban areas. The aim of this study was to assess the effects of soil sealing on N transformation and associated microbial properties.     

Effect of dietary daidzein on egg production, shell quality, and gene expression of ER-alpha, GH-R, and IGF-IR in shell glands of laying hens

Our previous studies demonstrated that dietary daidzein improves egg production in ducks during the late period of the laying cycle. The present study was aimed to investigate the effect of daidzein in laying hens, with more focus on eggshell quality. The expression of ER-alpha, GH-R, and IGF-IR mRNA in shell glands was determined to identify the target genes of daidzein action and to reveal the relationship between shell quality and profiles of gene expression in shell glands of laying hens. 1000 ISA hens, at 445 days of age, were allotted at random to two groups and given the basal diet with or without 10 mg of daidzein per kg diet for 9 weeks. Daidzein supplement significantly increased the egg laying rate and the feed conversion ratio. The eggshell thickness increased, while the percentage of cracked eggs decreased in daidzein-treated hens. Serum E2 and phosphate concentrations were not altered, but the level of serum Ca2+ and the tibia bone mineral density were significantly increased in the daidzein-treated group compared with their control counterparts. In parallel with the significant increase of oviduct weight, significant down-regulation of GH-R and IGF-IR mRNA and a trend of decrease in ERalpha mRNA expression in shell glands were observed in daidzein-treated hens. The results indicate that dietary daidzein improves egg laying performance and eggshell quality during the late (postpeak) laying stage of hens, which is associated with modulations in gene expression in the shell gland.     

Analysis of ammonia losses after field application of biogas slurries by an empirical model

Due to energy crises and stricter environmental regulations, renewable energy sources like bio‐methane produced by anaerobic digestion (biogas) become increasingly important. However, the application of slurries produced by biogas fermentation to agricultural land and subsequent ammonia emission may also create environmental risks to the atmosphere and to N‐limited ecosystems. Evaluating ammonia loss from agricultural land by model simulation is an important tool of agricultural‐systems analysis. The objective of this study was the systematical comparison of ammonia volatilization after application of two types of biogas slurries containing high amounts of energy crops in comparison with conventional animal slurries and to investigate the relative importance of factors affecting the emission process through an empirical model. A high number of ammonia‐loss field measurements were carried out in the years 2007/08 in biogas cropping systems in N Germany. The study consisted of simultaneous measurement of NH₃ losses from animal and biogas slurries in multiple‐plot field experiments with different N‐fertilization levels. The derived empirical model for the calculation of NH₃ losses based on explanatory variables gave good predictions of ammonia emission for both biogas and pig slurries. The root mean square error (RMSE) and mean bias error (MBE) of the empirical model for validation data were 2.19 kg N ha^–1 (rRMSE 29%) and –1.19 kg N ha^–1, respectively. Biogas slurries produced highest NH₃ emissions compared to the two animal slurries. In view of the explanatory variables included in the model, total NH$ _4^+ $ application rate, slurry type, temperature, precipitation, crop type, and leaf‐area index were important for ammonia‐volatilization losses.     

基于贝叶斯最大熵和多源数据的作物需水量空间预测

作物需水量是灌溉工程规划、设计和管理的重要基础数据,充分利用多源数据和先验知识,快速经济地获取精度较高的区域作物需水量对于区域水资源的优化配置具有重要意义。为精确预测作物需水量,该文以长系列实际监测和校核作物系数后计算得到的作物需水量为硬数据,利用硬数据确定获得最大熵的约束条件,根据软数据获取渠道的不同(部分年份缺失的站点数据、文献中获得的数据、利用灌溉试验数据库中的作物需水量资料,采用协同克立格方法获得的数据、考虑主要地形因子和主要气象要素的影响,采用主成分分析和地理加权回归(geographically weighted regression,GWR)方法获得作物需水量数据以及遥感数据),提出不同来源软数据的概率密度函数表达方法,采用贝叶斯最大熵(Bayesian maximum entropy,BME)方法对不同来源的作物需水量信息进行有机整合。结果表明:除硬数据+文献软数据外,其他数据整合呈现一致结果。华北地区冬小麦作物需水量在豫南地区较小,中部地区黄河北岸有连片的相对高值区,山东需水量相对较高,冀东北的乐亭、唐山附近有相对低值区。除硬数据+文献软数据比不整合的精度低9.41%外,其他软数据源均可不同程度地提高整合效果,硬数据+克立格软数据、硬数据+GWR软数据和硬数据+除文献数据外的其他软数据分别比不整合的精度提高85.33%、85.75%和91.69%。对考虑地形、气象等要素的多源数据进行整合可更好地反映冬小麦作物需水量空间分布的细节,显著提高估算精度,为稀疏监测站点地区水土资源的精准管理和优化配置提供数据支撑。     

结构参数对增压器浮环轴承润滑特性和环速比的影响

基于以往对增压器的浮环轴承润滑分析中大都忽略浮环的环速比影响,或将润滑性能和环速比独立分析。该文采用数值分析方法研究了增压器浮环轴承的润滑特性和环速比,分析中考虑了转轴、浮环、轴承座之间的传热因素,基于Reynolds方程和浮环平衡方程,建立了浮环轴承润滑模型,对比分析了浮环内、外层间隙,内、外圆半径4个结构参数对浮环轴承润滑特性和环速比的影响。结果表明,实际设计浮环时,需综合考虑结构参数对浮环润滑特性和环速比的影响及影响程度;浮环内层间隙增加,环速比降低,与内层间隙0.02 mm时相比,转速60 000 r/min时,内层间隙0.04 mm时的环速比减幅达23%,内层间隙增加,内、外膜温度减小,摩擦功耗略有增加,内层间隙0.03 mm时,浮环具有较理想的润滑性能和环速比;外层间隙0.06 mm的环速比均比外层间隙0.04 mm的环速比增加30%以上,外层间隙增加,外膜温度减小,且转速越高,外膜温度减幅越大;浮环内圆半径越小,环速比越小,内、外膜温度和摩擦功耗越小,浮环润滑性能越好;浮环外圆半径增加,环速比降低,但内膜温度、外膜温度、总摩擦功耗和总端泄流量变化幅度均在5%以内,外圆半径对浮环润滑性能影响不显著;浮环实际设计时,调整内圆半径比调整外圆半径对改善浮环润滑性能更有效。     

Kinetic and Thermodynamic Studies of Chlorinated Organic Compound Degradation by Siderite-Activated Peroxide and Persulfate

The efficacy of two oxidant systems, iron-activated hydrogen peroxide (H₂O₂) and iron-activated hydrogen peroxide coupled with persulfate (S₂O₈ ^2?), was investigated for treatment of two chlorinated organic compounds, trichloroethene (TCE) and 1,2-dichloroethane (DCA). Batch tests were conducted at multiple temperatures (10–50 °C) to investigate degradation kinetics and reaction thermodynamics. The influence of an inorganic salt, dihydrogen phosphate ion (H₂PO₄ ^?), on oxidative degradation was also examined. The degradation of TCE was promoted in both systems, with greater degradation observed for higher temperatures. The inhibition effect of H₂PO₄ ^? on the degradation of TCE increased with increasing temperature for the iron-activated H₂O₂ system but decreased for the iron-activated hydrogen peroxide-persulfate system. DCA degradation was limited in the iron-activated hydrogen peroxide system. Conversely, significant DCA degradation (87% in 48 h at 20 °C) occurred in the iron-activated hydrogen peroxide-persulfate system, indicating the crucial role of sulfate radical (SO₄ ^??) from persulfate on the oxidative degradation of DCA. The activation energy values varied from 37.7 to 72.9 kJ/mol, depending on the different reactants. Overall, the binary hydrogen peroxide-persulfate oxidant system exhibited better performance than hydrogen peroxide alone for TCE and DCA degradation.