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数控式塔架机示功图测试计产技术研究
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作者 王玮 李四海 +2 位作者 李次第 杨春丽 孙翠 《采油工程》 2016年第2期55-60,103-104,共7页
XFU油田区块采油井采用数控式塔架机举升方式,由于单井日产液量低于10t,冲次低于4min-1,造成常规测试仪器无法测取示功图资料;同时该区块采油井采用挂线计量,单井产液量较低且原油黏度高,造成单井计量时间长且计量不准确、油田日常管理... XFU油田区块采油井采用数控式塔架机举升方式,由于单井日产液量低于10t,冲次低于4min-1,造成常规测试仪器无法测取示功图资料;同时该区块采油井采用挂线计量,单井产液量较低且原油黏度高,造成单井计量时间长且计量不准确、油田日常管理难度大,因此开展了数控式塔架机示功图测试计产技术研究。通过实时采集数控式塔架机电参数及绘制示功图所需的载荷和位移数据,将所有采集的原始数据应用通信模块传输到软件系统中,通过建立的大数据系统研究计算,绘制形成示功图。依据示功图建立了产液量预测模型,实现单井产液量测算。现场测试运行参数实时远程传输准确率为100%,示功图诊断符合率为100%;测算产液量18井次,平均误差为9. 44%。数控式塔架机示功图测试计产技术较好地解决了采油井因冲次低不能测试及挂线计量带来计量不准确的问题。 展开更多
关键词 数控式塔架机 示功图 测试计产 电参数 计量
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A Hardware Platform Framework for an Intelligent Vehicle Based on a Driving Brain 被引量:19
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作者 Deyi Li Hongbo Gao 《Engineering》 2018年第4期464-470,共7页
The type, model, quantity, and location of sensors installed on the intelligent vehicle test platform are different, resulting in different sensor information processing modules, The driving map used in intelligent ve... The type, model, quantity, and location of sensors installed on the intelligent vehicle test platform are different, resulting in different sensor information processing modules, The driving map used in intelligent vehicle test platform has no uniform standard, which leads to different granularity of driving map information, The sensor information processing module is directly associated with the driving map information and decision-making module, which leads to the interface of intelligent driving system software module has no uniform standard, Based on the software and hardware architecture of intelligent vehicle, the sensor information and driving map information are processed by using the formal language of driving cognition to form a driving situation graph cluster and output to a decision-making module, and the out- put result of the decision-making module is shown as a cognitive arrow cluster, so that the whole process of intelligent driving from perception to decision-making is completed, The formalization of driving cognition reduces the influence of sensor type, model, quantity, and location on the whole software architec- ture, which makes the software architecture portable on different intelligent driving hardware platforms. 展开更多
关键词 Driving brain Intelligent driving Hardware platform framework
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Design, Development and Test of a Small Scale Mango Juice Extractor
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作者 Adesoji Matthew Olaniyan Obafemi Ibitayo Obajemihi 《Journal of Agricultural Science and Technology(B)》 2014年第1期1-7,共7页
Mango fruit (Mangifera indica) is very rich in fibre and vitamin C which are the required nutrients for good health and easy digestion of food in human body system. However, the fruit is highly perishable in its nat... Mango fruit (Mangifera indica) is very rich in fibre and vitamin C which are the required nutrients for good health and easy digestion of food in human body system. However, the fruit is highly perishable in its natural state after harvest due to the chemical deterioration and environmental effects. Due to the perishable nature, abundant wastage during the production season and relative scarcity during the off season were recorded by farmers. Processing the fruit into the form that can easily be stored, preserved, packaged, transported or consumed is crucial to having the product all the year round. Besides, mango juice can be consumed freshly, processed into dry powder, mixed or blended with other juice to make fruit jams, or evaporated to concentrates. These products have a lot of potential in food and beverage industries for export and foreign exchange earnings. Therefore, a small scale machine to process mango fruits to high quality juice is highly essential to reduce the postharvest loss and then add value to the commodity. To achieve this purpose, an abrasion-macerating device (AMD) was designed, fabricated and tested for small scale mango juice extraction. Design considerations focused on the techno-economic status of the micro and small scale fruit juice processors who are the intended users of the machine. The major components of the machine included hopper, perforated drum, screw conveyor, juice outlet, waste outlet, frame, electric motor and motor stand. Other components included screw shaft, the juice collector, top cover and the transmission system. In operation, the screw conveyor conveys and presses the mango fruits against the perforated roughened drum. The abrasion/tearing process of the screw on the flesh of the fruit and further pressing against the drum squeeze enough juice out of the fruit. The juice extracted is drained through the perforated mesh of the juice channel into the juice outlet from where it is collected while the residual waste is collected at the waste outlet. The machine was tested using freshly harvested mango fruits and results obtained showed an average juice yield, extraction efficiency and extraction loss of 34,56%, 55.14% and 10.15%, respectively. These values of juice yield, extraction efficiency and low level of extraction loss indicate satisfactory performance of the machine. Powered by a 2.5 hp single-phase electric motor, the machine has a production cost of USD565 with the construction materials being locally available at affordable costs. A cottage mango juice extraction plant based on this technology can provide employment for at least two persons at the same time providing fresh juice at low costs and residual waste as an ingredient for livestock feed manufacturing. 展开更多
关键词 Abrasion-maceration device juice extraction mango.
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New method of calculating formation parameters of low permeability gas reservoir
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作者 SHANG Xi-tao HE Shun-li LI Xiu-sheng 《Journal of Energy and Power Engineering》 2009年第3期34-39,共6页
The data of modified isochronal testing of gas well is just used to calculate gas well deliverability. Fully utilizing well test data make it possible to obtain formation parameters, such as gas well deliverability, e... The data of modified isochronal testing of gas well is just used to calculate gas well deliverability. Fully utilizing well test data make it possible to obtain formation parameters, such as gas well deliverability, effective permeability and skin factor at the same time. Based on transient flow theory, the pressure drawdown equation of gas unsteady seepage can be deducted. One simulated case is used to illustrate the applicability of the proposed method. The result of analyzed case shows that the proposed method can provide accurate estimate of formation permeability and skin factor compared with the method of Homer curves. 展开更多
关键词 gas reservoir well testing pressure test formation parameters METHOD
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