Two coordination polymers,［Ba(BCI)NO₃(H₂O)₂］_n and ［Zn(BCI)₂］_n(HBCI= 1,3-bis(carboxymethyl)imidazolium),have been synthesized under solvothermal conditions and characterized by single crystal X-ray diffraction,elemental,powder X-ray diffraction and thermogravimetric analysis.Crystal structure analyses indicated that ［Ba(BCI)NO₃(H₂O)₂］_ncrystallizes in monoclinic system,space group Cc with a=1.316 2(11) nm,b=1.494 4(11) nm,c=0.851 7(7) nm,β=127.87°,Z=4.［Zn(BCI)₂］_n crystallizes in monoclinicsystem,space group Cc with a=1.721 6(5) nm,b=0.744 45(2) nm,c=1.290 6(4) nm,β=106.53°,Z=4.The coordination polymer［Ba(BCI)NO₃(H₂O)₂］_n was bridged by adjacent Ba²⁺ions through the BCI^-l igand carboxyl oxygen atom to form a one-dimensional chain structure,which was further bridged by BCI^-l igandtoform a two-dimensional mesh structure with {4⁴} topology.The coordination polymer［Zn(BCI)₂］_n  was bridged by Zn²⁺and the carboxyl oxygen atoms of the BCI^-l igand to form a two-dimensional network structure with{4⁴;6²}topology.

A transport bed calcination process applied to magnesite was systematically investigated through Aspen Plus process simulator.By connecting the external Fortran subroutine of magnesite decomposition kinetics,a pre-decomposition model of magnesite simultaneously considering gas-solid heat transfer(the fed magnesite preheated by the high-temperature calciner flue gas)and magnesite pre-decomposition reaction in the first-stage cyclone-type preheater was established(i.e.,gas-solid heat transferpre-decomposition model).Compared with the model considering gas-solid heat transfer without magnesite pre-decomposition first and then occurring the adiabatic pre-decomposition of magnesite(i.e.,solid adiabatic pre-decomposition model),the calculated result of pre-decomposition conversion based on the gas-solid heat transfer pre-decomposition model was greater,and the system had higher energy efficiency and lower energy consumption.Based on this model,the influence of calcination temperature and water content of magnesite on the light calcination process was further studied.It could be seen that with the increase of calcination temperature and water content of magnesite,the energy efficiency of the system gradually decreased and energy consumption rise.Especially,the water content of magnesite had a significant impact on the operability of the whole light calcination system.This paper provides guidance and reference for its industrial design as well as operation of light calcination process of magnesite.

In order to achieve the goal of high value utilization of dolomite resources,the flame retardant Mg(OH)₂ was prepared from light-burned dolomite powder by the method of ammonia evaporation-NH₃ precipitation.The influences of various conditions on the product indexes and reaction mechanisms during the preparation of  Mg(OH)₂ by ammonia evaporation and NH₃ precipitation were studied.The results showed that the refined liquid with Mg²⁺ conversion rate of 81.5% could be obtained under the optimized process conditions of reaction temperature of 100 ℃,reaction time of 3 h and ammonium magnesium ratio of 2.2∶1.The flame retardant Mg(OH)₂ could be prepared by adding NH₃ into the refining solution when the reaction temperature was 50 ℃.The mechanisms of preparing flame retardant Mg(OH)₂ was elucidated by Materials Studio molecular simulation software.

Chemical process simulation software Aspen Plus was used to build a coke oven gas conversion section model,and the influence of feed flow deviation of oxygen,coke oven gas,carbon dioxide and water vapor on the heat load and temperature of the reformer was analyzed by hazard and operational analysis(HAZOP).Combined with the process safety index,the safety threshold of operation parameters was obtained,and the quantitative analysis of HAZOP deviation was realized.It can be seen from the simulation results that the feed temperature is not the main factor causing the sharp rise of the reformer temperature,but too low feed temperature of the replenishment stream will inhibit the conversion reaction.The excessive flow of coke oven gas and oxygen is the key factor leading to the increase of heat load and temperature in the reformer section.Since the deviation is caused by the abnormal working condition of the equipment,the equipment in the key position and controlling the key parameters has a great influence on the thermal load and temperature change of the system.

In recent years,there are more and more waste rock wool,which has become a difficult problem in the treatment of industrial waste.At present,there is no perfect treatment scheme,and most of the waste rock wool has not been well treated.Therefore,this paper intends to obtain a treatment method of waste rock wool by observing the state of waste rock wool at different temperatures and chemical formation of waste rock wool after heating.The results showed that the main components of waste rock wool after combustion are CaO,SiO₂,Al₂O₃,MgO and Fe₂O₃,which are non-toxic and harmless to the environment and will not cause pollution to the environment.The average volume reduction of waste rock wool after combustion could reach 85.25%.By observing the combustion products of waste rockwool at different temperatures,it was found that when the heating temperature of rock wool was 1 100 ℃,the waste rock wool was fully burned.Therefore,the waste rock wool could be burned at 1 100 ℃ to solve the problem of waste rock wool waste land resources,land and environment pollution.

Taking Al-Si-Mg casting aluminum alloy as the research object,the effects of lanthanum-cerium mixed rare earth and its component contents on the microstructure and mechanical properties of Al-Si-Mg cast aluminum alloy were investigated.The results showed the microstructure of aluminum alloy presented a significantly refined state of grain size compared to ordinary Al-Si-Mg cast aluminum alloy with lanthanum and cerium.The mechanical properties and hardness of Al-Si-Mg aluminum alloy improved with La and Ce rare earth added increased with the increase of rare earth content,but decreased to a certain extent.When the content of La and Ce is 0.1%(mass fraction),the mechanical properties of aluminum alloy are the best,and the tensile strength of 330 MPa,the hardness of HBW-93,and the elongation of 4% could be reached.

The numerical simulation of the internal flow field of a gravity type oil-water separator with different entrance components was carried out to obtain the internal velocity vector and flow field of a separator of three exit positions,four angles of incidence and four different axial positions of the inlet tube,through the standard k-ε model of Fluent software for turbulent flow calculation.The analysis of the comparative study results showed that the smaller the distance from the inlet tube exit to the top inner wall of the cylinder,the better the hindrance of the cylinder to the incident fluid,and the smaller the vortex area after the fluid passed through the rectifier.When the angle of incidence was 30°,60° and 120°,the vortex was generated behind the rectifier,and the flow field was turbulent.There was no vortex at 90°,and the fluid flow was relatively stable.The closer the inlet elbow was to the head,the smaller the vortex area in front of the rectifier and the better the rectification effect,and the more the axial flow ratio of the flow field at the rear flow field,the more favorable separation of oil-water phase.

With the development of industrial technology,industrial processes usually have multiple production stages.Therefore,the study of multi-stages fault detection methods is of great significance.Multi-stage complex working condition data has non-linear and dynamic characteristics.Aiming at the characteristics of the above data,a fault detection method based on the combination of time-space local nearest neighborhood standardization and principal component analysis(TSNS-PCA)is proposed.Firstly,the nearest neighbor set of the sample is searched at the time level,secondly,the nearest neighbor sample set of the time nearest neighbor of the sample is found at the space level,and then the T² and SPE control limits of the monitoring model are calculated on the standardized sample set by the principal component analysis method.Finally,the corresponding statistical value of the sample to be detected are calculated and compared with the control limits to achieve the purpose of fault detection.The TSNS method can transform the complex nonlinear,dynamic and multi-stage data to the origin of coordinates and make the new data approximately to a single normal distribution,while maintaining the degree of deviation between outliers and normal points.A non-linear dynamic numerical example and penicillin simulation process are uesd to prove that the effect of TSNS-PCA method is significantly better than that of PCA,LNS-PCA,DPCA,WkNN,TSNS-LOF and other methods in dynamic multi-stage process monitoring.

The large-scale chemical production process contains many units,and the variables within the units have a very strong correlation.In view of this characteristic,a fault detection method based on sub-block canonical variate analysis(SB-CVA) was proposed.Firstly,the process modeling data were divided into several sub-blocks according to the principle of high correlation of intra-block variables and low correlation of inter-block variables.Then CVA models were established within each block,T² and SPE statistics were calculated as fault detection indicators.The proposed method could detect the fault of sub-blocks in time and confirm the fault unit effectively.Simulation was carried out through TE process and compared with PLS,MB-PLS and CVA to verify the effectiveness of the proposed method.

To solve the problems of target occlusion and complex environment during target tracking,a new target tracking algorithm based on confidence updating was proposed based on SAMF tracker.Under the framework of correlation filtering and tracking,the confidence index(APCE) was proposed to judge whether the target is blocked or not,and the adaptive template updating was proposed to solve the adaptability of the tracking confidence threshold in video scenes under different environments.The OTB-2013 video sequence data set attribute selection 33 shade and background video sequences experiment.The experimental results showed that compared with the SAMF,algorithm in tracking shade and complex background attribute the success rate is increased by 1.6% and 2.3% respectively under the tracking occlusion and complex background attributes.The algorithm had higher identification accuracy,and track targets stably under the environment of target occlusion and complex background.

In order to promote the application of simple structure chaotic system in engineering,a new four-dimensional chaotic system with only one quadratic nonlinear term was proposed.For the proposed new system,firstly,the dynamic properties of the system were analyzed theoretically,and then the attractor diagram and Lyapunov exponent diagram of the new system were drawn by MATLAB.The simulation resulted verify the chaotic characteristics of the system.After that,the state observer was chosen to design the synchronization of the new chaotic system.Through the numerical simulation of MATLAB software,the generated error image was observed and the good experimental results were obtained,which also proveed the feasibility of the synchronization method.

To solve the problem that the purity of vinyl chloride cannot be measured in real time due to the strong nonlinear rectification process of vinyl chloride,a soft-sensor modele based on bat algorithm(BA) was proposed to optimize echo state network(ESN).Firstly,through the analysis of vinyl chloride rectification process,the auxiliary variables of the model were selected,and the normalized data were used as the input variables of the model.Secondly,since the weights and thresholds in the echo state network are randomly generated,which affects its generalization ability,the bat algorithm was used to optimize the output weight of the echo state network,thereby improving the convergence speed of the ESN model.Finally,the proposed BA-ESN model was used to predict the concentration of vinyl chloride,and the prediction results were compared with those of the ESN model and the BP model.The simulation results showed that the BA-ESN model has higher prediction accuracy,better generalization ability and robustness,and can meet the requirements of real-time measurement in vinyl chloride rectification process.

Image inpainting is an important research direction in the field of image processing.In order to solve the problem of fuzzy texture in the current image inpainting algorithm that the restoration area is inconsistent with the surrounding area,an image inpainting method is proposed.Based on the generative adversarial networks,this method introduces conditional features and self-attention modules,and associates the specific dimensions of data with semantic features.The inpainting model trained by this method can inpainting specific types of images and ensure the consistency of the overall inpainting and the rationality of local information details.Experimental results show that good results can be obtained by training and testing on CeleBA face datasets.