冬季采暖保育猪舍送排风管道组合换气系统设计与评价

为实现保育猪舍内局部环境通风调控,该研究设计一种垂直送排风管道组合换气系统。采用CFD(Computational Fluid Dynamics)技术对垂直管道通风模式下舍内的空气流场进行模拟,并以相对湿度和CO_2浓度作为输入变量建立通风模糊控制系统。模拟结果显示保育猪所在水泥地板区域风速保持在0.1～0.2 m/s。参照模拟结果,以猪栏为通风单元对保育猪舍通风系统进行改造,舍内气流不均匀性系数在0.1以下,表明采用该换气系统的保育猪舍通风均匀性较好;猪舍温度在21～25℃,相对湿度小于70%,NH_3浓度小于5mg/m~3,CO_2浓度小于1200mg/m~3,舍内各项环境参数适宜保育猪健康生长。系统运行功耗为270～1 150 W。现场测试与分析结果表明,该垂直送排风管道组合换气系统,可以精确控制猪舍环境,兼顾冬季猪舍通风与保温问题。

Design and evaluation of combined ventilation system with air supply and exhaust ducts for a nursery heating piggery in winter

Abstract: A dynamic simulation was performed here to characterize the external morphology, accumulation, and distribution of dry matter in the celery (Apium graveolens L.) under a solar greenhouse. A two-year experiment was carried out in a greenhouse from 2018 to 2020 in the Agricultural Science and Technology Innovation Base, Wuqing District, Tianjin, China (east longitude 116.97 °, latitude 39.43 °, altitude 8 m). There were 2 or 3 transplanting dates for each stubble, including the early transplanting date (EP, about 15 days earlier than the local conventional planting date), medium transplanting date (MP, local conventional transplanting date that was transplanted in mid September), and the Late Planting (LP, about 15 days later than the local conventional transplanting date). A random block group design was adopted, where three replicates were set for each transplanting date. The variety of celery was selected as Juventus. Five development stages were also divided, namely, the transplanting date (T), Outer Leaf Growth period (OLG), Cardiac Hypertrophy period (CH), Wither period (W), and uprooting period (U). An external morphology model was constructed with the Photo-Thermal Index (PTI) as an independent variable, according to the relationship between the growth dynamic of external morphology and key meteorological factors (temperature and radiation) of celery in a greenhouse. The PTI was also used to establish the dry and fresh matter distribution model. A module of dry matter accumulation in the celery was established under the amount of training using the double integral of leaf area index (LAI) and daily length in photosynthesis per unit leaf area, while considering the simulation modules of photosynthesis and respiration. A new model of fresh matter accumulation was established to combine the relative water content of each organ in each developmental stage. The whole growth model of celery was built in a greenhouse from each sub-module. The model parameters were then calibrated and determined. The rationality and accuracy of modules were validated using the statistical indicators. The results showed that: 1) In the external morphology model, the RMSE of simulated and measured morphological indicators of root length, main stem width, main stem length, plant height and LAI by pruning and natural were 2.46 cm, 1.49 mm, 6.72 cm, 11.08 cm, 0.74 m2/m2 and 0.77 m2/m2, respectively, and the NRMSE was between 16.63% and 20.63%. 2) In the model of dry and fresh matter distribution, the NRMSE of the simulated and observed dry matter distribution index of each organ were between 8.24% and 27.19%, and the RMSE was between 0.60% and 7.01%, respectively. 3) In the dry matter accumulation model, different dry matter of organs (including root, green stems, and leaves, total stem and leaf, stem, petioles, overground by pruning and natural) of dry matter simulated and measured values of RMSE were from 3.85 to 85.80 g/m2, while the NRMSE were from 14.21% to 23.13%. Furthermore, the dry matter accumulation model presented a high accuracy, when simulating the dry matter of different organs. Consequently, the model can be expected to accurately simulate the external morphology, accumulation, and distribution of dry matter, thereby systematically and quantitatively representing the growth dynamics of celery in a solar greenhouse. A growth process of celery was also elucidated to realize and quantify the dynamic monitoring of celery growth. Therefore, the finding can provide sound technical support to the intelligent production and management of leaf vegetables in a solar greenhouse.