In order to improve the efficiency and accuracy of fault diagnosis of power supply and distribution system in intelligent buildings, a fault diagnosis method based on Bayesian network and wavelet transform was proposed. Firstly, the topological structure of power supply and distribution network in intelligent buildings was analyzed in detail in theory. Secondly, the switching and electrical quantities in fault information were filtered and reorganized by wavelet transform. Finally, the fault information after the reorganization was modeled and analyzed by Bayesian network, and the fault diagnosis results were obtained. In this paper, the process of extracting electrical and switching quantities from fault information was introduced in detail. According to the fault characteristics of the existing intelligent building power supply and distribution system, the corresponding recovery strategy was given. IEEE⁃39 multi⁃node complex power fault system is taken as an example, the simulation results show fault diagnosis result of the proposed method is fast and accurate. The research results have important reference value for fault diagnosis research of intelligent building power supply and distribution network.

Dissolved Gas Analysis (DGA) is one of the important methods for determining transformer internal faults.Aiming at the shortcomings of the traditional shallow⁃based machine learning method in transformer fault diagnosis in feature extraction and generalization ability, a transformer fault diagnosis method based on Convolutional Neural Network (CNN) was proposed. The convolution layer in the network was used for feature conversion of dissolved gas in oil, and fault sensitive features were extracted by combining with the ability of pooling layer to strengthen important features. The effects of the number of convolution kernels, the size of convolution kernels, pooling layer and network depth on the diagnostic performance of the model were studied experimentally. The models of Convolutional Neural Network, Support Vector Machine (SVM) and Back Propagation Neural Network (BPNN) were compared and analyzed by confounding matrix, ROC curve and PR curve. The experimental results show that the Convolutional Neural Network model has better diagnostic performance.

The stringent environmental management of petrochemical industries requires high⁃efficient waste disposals and wastewater treatment. Value⁃added and all⁃component resource technologies were insufficient for petrochemical wastes. Moreover, the advanced treatment of petrochemical wastewaters was lack of highly active and low cost catalysts. Based on the compositions of petrochemical wastes and ozonation catalysts, the present overview proposed that petrochemical wastewaters were treated using petrochemical wastes derived catalysts. Petrochemical wastes and wastewaters management might be synchronously improved by employing a "wastes⁃treat⁃wastes" strategy.

In order to compare the difference between the single-stage separator and the two-stage separator, and find out the reasons that the two-stage series separator was not ideal, the two-stage series structure was constructed by using vortex gas-liquid separator as prototype, and through coupling boundary condition, using the Euler-PBM model to establish the numerical simulation model of the two-stage eddy current separator. The simulation results showed that the gas separation effect of the two-stage series separator was better than that of the single-stage separator, but the internal pressure of the two-stage separator was smaller than that of the casing tubing annulus at the corresponding position, which led to the return phenomenon at the vent hole. The outlet of the upper separator had a large pressure difference, the high flow rate and gas-liquid ratio resulted in a significant reduction to the gas separation efficiency of the two-stage separator. When the gas-bearing ratio at the inlet reached 90.0%, the separator failed. The research results had important practical significance for widening the application conditions of ESP, and the research methods had important reference for similar tool simulation.

Ionic liquid (IL) is a type of molten salt at room temperature which are composed of anions and cations. It is a novel kind of green solvent and catalyst with excellent performance. However, it is 1imited to be widely used in different fields because of high price, large dosage, inconvenient separation. One of the effective approaches is to immobilize the ionic liquid on inorganic or organic solid material. Supported perrhenate ionic liquid was prepared using MCM-41 zeolites as carrier by chemical method in this paper. The supported ionic liquid was characterized and analyzed by FT-IR, TG, XRD and nitrogen adsorption desorption. The results showed that the ionic liquid was successfully bonded to the surface of MCM-41, and the decomposition temperature of the supported ionic liquid was between 280~680 ℃. Although the pore size and specific surface area of MCM-41 decreased after loading IL, its bulk structure was not damaged.

aking example for T21 Aluminumtriethide tank, introducing the whole finite analysis process of  portable tank, a finite model for thin shell element and solid element was established, and has been taken into account. The optimal structure designing of vessel supports was accomplished, the analysis results indicated the portable tank by the motion direction of the inertial force and saddle structure before and after optimization should force changes in the larger, saddle before optimization of the maximum stress was 38.89 MPa, saddle after optimization of the maximum stress was 130.58 MPa.

The finite element analysis software ANSYS was used to propose a parametric model and analysis for four corners tower of feed tank. Considering the multiform work condition load of internal pressure, liquid static pressure, wind load and seismic load, implement optimum was designed for structure of flat head. According to moment of flexion about bearing ring flatplate, the size and quantities for foundation bolt were counted. The strength calculation of the whole equipment was completed, which laid a foundation for further detailed design and manufacture. The results show that production was of certain guiding meaning for the four corners tower engineering design.

The regeneration of thiophene saturated ionic liquid obtained after desulfurization of gasoline were studied. Cyclopentane was used as the extractant to regenerate the ionic liquid( \[C8MIM\] BF4). The dosage of cyclopentane, extraction time and extraction temperature were examined. The optimal operation condition, where V(ionic liquid)∶V(cyclopentane)=1∶2 at 35 ℃ for 15 min were obtained. Under the optimal condition, the backextraction rate of the ionic liquid can reach 8238%. The recovered ionic liquid was further applied to the desulfurization of model oil, and the desulfurization rate can reach 62.37%. 

According to FCC（catalytic cracking）gasoline desulfurization, a set of test device was designed. The working principle of the experimental device and the selection of the key equipment were introduced in the article. It would effectively reduced the pulsation and solved the low metering accuracy of the pump, and the mixing time of the static mixer was too short and resulted in undermixing, and heat loss was too much and so on. From a longterm perspective, the design of desulfurization device provided a new way and making up for the deficiency of the existing desulfurization device.

Aiming at the actual situation of the buried sulfur natural gas pipeline leakage problem, with the finite volume method, the numerical simulation for volume fraction of hydrogen sulfide and methane of the buried sulfur natural gas pipeline continuous leakage were preceded. The upper soil was considered as porous medium to gas diffusion effects. Comparing and analyzing the dangerous area of methane and hydrogen sulfide occurring at the moment, the results show that the virulent area of hydrogen sulfide leaked is much greater than the dangerous area of methane, covering completely. Between the common area of hydrogen sulfide and methane, fire prevention measures are took as well as poisonous protection measures in the area of hydrogen sulfide influenced alone.

Aiming at leak explosion of the natural gas pipeline, blast shock wave overpressure model was used, combining with TNT equivalent method to calculate the overpressure. Then the range of explosion damage was determine, and the main factors that affect the overpressure were found. Therefore the measures to reduce the overpressure were put forward, which provides the basis for the natural gas pipeline operation safe and emergency.

The reliability of pressure pipeline containing defects in engineering is very important. The pipeline of the oil industry may contain types of potential defects. It should be considered the defected size, the uncertainty of the loaded parameters, so introduced the Monte Carlo method to use random sampling for these uncertain parameters. Monte Carlo method is based on the probability and statistic theory method, it can realistically describe the characteristics of the random things, and overcome the disadvantage of the deterministic failure analysis method, more accurate calculate the failure probability of the pipeline, it provides a technical means for diagnosing system security of petrochemical enterprise.

Flavonoids were extracted from codonopsis pilosula with microwave-assisted method, and its content was determined by spectrophotograpy. Two methods with NaNO2-Al(NO3)3 or AlCl3 as the chromogenic agent were performed and the precision, stability, reproducibility and recovery ratio of the two methods were studied. The results show that the AlCl3 colorimetric determination of flavonoids in codonopsis pilosula was simple, convenient, accurate and reliable as compared with the NaNO2-Al(NO3)3 colorimetric determination method.

 

It is very important to accurately forecast the change of soil temperature field around underground pipeline and inside pipeline oil temperature for drawing up scientific and reasonable crude oil transportation craft. To increase the accuracy of estimate, outside pipeline environment and inside pipeline oil temperature as well as various other factors should be taken into consideration during the calculating process. The temperature field of soil around underground pipeline in the process of cool and hot crude oil alternative transportation was numerically simulated by using finite elements method; the soil temperature distributions around pipeline and inside pipeline oil temperature at different time were obtained. Through analyzing the calculation results, it turns out that oil-line temperature, oil-line time and heat accumulation of soil influence inside pipeline oil temperature. When drawing up the craft of cool and hot crude oil alternative transportation, the influence should be considered.