A series of g-C₃N₄/Cu₅FeS₄/Au ternary heterojunction were synthesized by simple method.The effects of Au deposition and Cu₅FeS₄coupling on the performance of g-C₃N₄were systematically studied,and the photocatalytic activity of triethanolamine as a sacrificial agent was evaluated by photolysis of water under visible light irradiation.Combining with the results of a series of characterized analysis it is shown that:Theg-C₃N₄/0.75%Cu₅FeS₄/0.75%Au ternary composites exhibited highly enhanced visible light photocatalytic H₂ evolution from water-splitting(119.52μmol·h^-1·g^-1),which was about 11.45 and 4.37 times higher than those of g-C₃N₄(10.44 μmol·h^-1·g^-1)andg-C₃N₄/Cu₅FeS₄(27.32 μmol·h^-1·g^-1)under identical conditions.The enhanced photocatalytic activity can be attributed to the assembly with Cu₅FeS₄ as electron bridge forming typical Type II alignment can improve the charge separation efficiency and the strong interfacial contact between the three component can provide more “charge migration way” for efficient charge transfer across the interface.

A series of g-C₃N₄/CeO₂/Ag heterojunction photocatalysts were designed by combining two modification methods of coupling semiconductor and depositing precious metal particles through simple hydrothermal synthesis and photo deposition.The target photocatalyst was characterized by XRD,TEM and UV-Vis DRS,etc.,and through the removal of organic pollutants (methylene orange as an example) under visible light to evaluate its photocatalytic activity.The statistical results show that the catalytic activity of g-C₃N₄/10.0% CeO₂/2.0 %Ag heterojunction photocatalyst coupled with 10.0 %CeO₂ and 2.0 %Ag is 2.91 times and 2.18 times higher than that of pure g-C₃N₄ and CeO₂,respectively.The improvement of photocatalytic activity is mainly attributed to the formation of heterostructures between composite materials and the introduction of Ag nanoparticles.

A two-wheeled self-balancing vehicle with dual closed-loop PID control was designed.The system uses Arduino Mega2560 single-chip microcomputer as the main control chip and MPU-6050 gyroscope accelerometer sensor to collect vehicle body angle and angular velocity data in real time.The interference is suppressed through complementary filtering algorithm.The upright running control of the car body adopts negative feedback PD control,and the body speed control adopts positive feedback PI control.The main control chip of the balance car changes the motor speed by controlling the motor drive module L298N to adjust the duty cycle of the PWM output.According to the Ziegler-Nichols tuning formula,the initial parameters of PID are obtained,and the PID algorithm model is constructed using simulink and simulated.The simulation results show that the dual closed-loop PID control algorithm used in this paper has good dynamic performance and good anti-interference ability.The results of the physical debugging of the balance car have achieved the goal of the balance car′s upright and balanced operation.

To effectively improve the fault detection performance of support vector machine(SVM)in industrial processes,a fault detection method of multi-modal process based on multi-model SVM(MM-SVM)was proposed.Firstly,the local probability density method was applied to preprocess the multi-modal data to eliminate the influence of the multi-modal data on fault detection performance.Then,multiple SVM models for fault classification were established by changing the kernel parameters of SVM.Finally,the classification results of multiple SVM models were integrated,and the data category was defined by the probability to achieve effective fault detection.The proposed method was applied to a multi-modal numerical example and the Tennessee-Eastman multi-modal process.Compared with PCA,KPCA and SVM,the experimental results further verify the effectiveness of the proposed method.

To determin the related substances in the raw material of berberine hydrochloride by HPLC.A Spherigel C18 chromatographic column(150 mm×4.6 mm,5μm)was used with a mobile phase consisting of 0.02 mol∙L^-1ammonium acetate-acetonitrile solution(70∶30)at the flow rate of 0.6 mL∙min^-1.The detection wavelength was 265 nm，the temperature was 30 ℃,the injection was 10 μL and the detector was ultraviolet detector(UVD).The results showed that under the optimum conditions,the berberine hydrochloride and its related substances could be separated well（R>1.5）.Berberine hydrochloride and its related substances showed a good linear relationship(R²>0.99).The established method is sensitive，effective，reproducible and easy to handle，which can be used for the determinating of the related substances in berberine hydrochloride.

Styrene(St)was utilized as a co-monomer，while glycidyl methacrylate(GMA)or maleic anhydride(MAH)was employed as graft monomers.These graft monomers were then blended with polystyrene-ethylene-butylene-styrene(SEBS)and prepared into SEBS-g-(GMA-co-St)，SEBS-g-(MAH-co-St)，and SEBS-g-(GMA/MAH-co-St)graft copolymers using the melt free radical grafting technique.Subsequently，these graft copolymers were utilized as compatibilizers for melt blending with polypropylene(PP)and SEBS，and their effects on the thermal，optical，mechanical properties，and microstructure of the PP/SEBS blends were investigated.The results showed that after introducing SEBS graft copolymers into PP/SEBS blends，the comprehensive properties of the blends increased to varying degrees，and the performance increase was most significant when GMA was used as the graft monomer.SEBS-g-(GMA-co-St)graft copolymer with GMA as the graft monomer greatly improved the compatibility between PP and SEBS，and significantly enhanced the impact toughness of the blends.The impact strength and elongation at break of the blends reached a maximum value，which were 30 165.82 J/m² and 1 482.40%，respectively，exhibiting typical ductile fracture characteristics with folded toughening and multi-layer fracture on the fracture surface，while the tensile strength of the blends remained almost unchanged.In addition，the introduction of the graft copolymer improved the thermal stability of the blends and maintained their high transmittance，showing excellent optical properties.

Perovskite multiferroic thin films Bi_1-xLa_xFeO₃ and BiFe_1-yCo_yO₃ with different La³⁺,Co²⁺ molar content of x/y=0.05,0.10,0.15,0.20 have been fabricated on Pt(111)/Ti/SiO₂/Si(100)substrates through Sol-Gel method and annealed at 550 ℃ for 20 minutes.XRD structural characterization and performance tests of ferroelectric P-U loop,leakage current etc.were carried out.The results showed that the doping of La³⁺ andCo²⁺did not change the crystal structure of BFO,but the doping significantly improved the ferroelectricity and leakage property of the films,especially when the  x and y values were 0.15 respectively,the films Bi_0.85La_0.15FeO₃and BiFe_0.85Co_0.15O₃ both reached the optimal performance.On this basis,Bi_0.85La_0.15Fe_0.85Co_0.15O₃ thin films were prepared.The results showed that the composite doping achieved more ideal results than the single doping,in which the residual polarization 2P_r increases from 0.071 8 C/m² to 0.707 0 mC/m²,and the leakage current density also decreases by an order of magnitude than that of single doping.

To obtain efficient denitrifying bacteria with heterotrophic nitrification-aerobic denitrification capacity,a heterotrophic nitrifying-aerobic denitrifying strain with efficient denitrification was screened and isolated from the activated sludge of the southern wastewater treatment plant in Shenyang.A strain named Paracoccussp.QD-30.was identified as Paracoccussp.by 16SrRNA gene sequencing.The studied Paracoccus sp.nitrogen removal characteristics of strain QD-30 under different nitrogen sources and the best nitrogen removal conditions under single environmental factors.The maximum removal rates of ammonia nitrogen,nitrite nitrogen and nitrate nitrogen were 87.69%,77.19% and 77.25%,respectively.The optimum denitrification conditions were as follows:sodium succinate as the best carbon source,C/N of 14,temperature of 35 ℃,pH of 7 and rotational speed of 140 r/min.Paracoccus sp.QD-30 is a new type of paracoccus with high denitrification capacity,which has good engineering application prospects in the field of biological denitrification.

In view of the drawbacks of the traditional machine learning algorithm,an improved algorithm based on deep learning for diagnosing arrhythmia signal and individual recognition of ECG signal is proposed.By adding an improved CBAM module and combining one-dimensional convolutional neural network with bidirectional LSTM,a new model L-CNN is proposed to diagnose and recognize arrhythmia ECG signals.The experimental results show that the recognition accuracy is 1.23% higher than that of the existing research.Compared with the traditional recognition technology,the recognition technology based on ECG signal has broad application prospect.

Athree-dimensional Sm-MOF materials were synthesized by hydrothermal method using 1,4-bis(pyrazol-1-yl)terephthalic acid(H₂L)as ligand and lanthanide metal Smions.A variety of amino acids such as N-acetyl-DL-tryptophan in aqueous solution were detected.The detection limit of N-acetyl-DL-tryptophan was 0.55 μmol/L,showing good sensitivity,high selectivity and recyclability.The LUMO and HOMO of the ligand and N-acetyl-DL-tryptophan were simulated,and the detection mechanism was studied and analyzed.It was speculated that the main reason for the fluorescence enhancement of Sm-MOF by N-acetyl-DL-tryptophan was the donor-acceptor electron transfer mechanism.Overall,the Sm-MOF has broad application and development prospects as a fluorescent detection material.

An information security simulation platform that simulated a real production environment was bulit.This platform took the control system as the background,instantiates the control system composition and network topology structure of an energy enterprise,simulates the field equipment,and uses S7-1200 PLC as the simulator to build a control system composed of control layer,simulation layer and monitoring layer.On the platform model,the attack effect was restored by using the attack playback technology without affecting the normal production and operation environment of the enterprise.It has achieved the effect of attack tracing,targeted security defense,and active defense,etc.The research results were applied to enterprises to reduce the security risks of enterprise.It has made great contributions to the maintenance of energy system information security.

整体叶盘；模态分析；固有频率

A license plate location and segmentation algorithm based on multi-feature fusion such as geometry,color and edge was proposed.First of all,in the process of license plate positioning,the method combining feature point detection and morphological processing was used to comprehensively locate the license plate based on its geometry,character texture,color and other characteristics.Secondly,the grayscale projection technology was used to accurately locate the license plate characters.Finally,the gray projection adaptive segmentation method was used for segmentation.The experiment showed that the success rate of localization segmentation was more than 95%,which was obviously higher than other comparison algorithms,and could locate and segment characters more accurately.

For the problem of stable and continuous power supply for underwater sensor networks,a simulation analysis of the piezoelectric energy harvester of a piezoelectric cantilever built into a flexible tube was carried out.The experiment conducted fluid-structure coupling simulation of the single-energy-harvester,the pre-flexible and rigid bluff bodywere carried out respectively.Then,the piezoelectric coupling and collecting circuit simulation analysis was carried out on the pre-bluffing energy harvester.The results show that the amplitude response of the energyharvester of the front rigid bluff body was greater than that of the front flexible bluff body and the single-energy-trapping structure.When the flow velocity was 1.1 m/s,the L/D was 3~4,the generated amplitude response and voltage amplitude were 0.9 mm and 85 V respectively.At this time,the frequency was 9 Hz,and the energy collection efficiency was 36.18%,which was the highest of the vortex-induced vibration piezoelectric energy harvester.It proved the feasibility of the piezoelectric energy harvester with the piezoelectric cantilever beam built into the flexible tube,and provided a solution for the continuous and stable energy supply of the underwater sensor network.

For a certain aeroengine blade disc-shaft system,a finite element model of the blade disc-shaft system with different distances between shaft and blade discs and different shaft diameters are established.Then the modal analysis is carried out and the natural frequency is calculated.The effects of the relative position of the shaft and the blade disc and the shaft diameter on the natural vibration of the blade disc-shaft system were analyzed.It provides a theoretical basis for the design of system tester in the future.The analysis results indicated that the vibration of the blade disc-shaft system includes three types of modes:blade vibration mode,blade shaft coupling mode and blade disk-shaft coupling mode.With the increase of the distance between the axis and the blade disk,the coupled natural frequency of the 1st order is relatively stable,while the coupled natural frequency of the 2nd order is on the rise.

PBS/DOPO/g-C₃N₄ blend composites were prepared by mixing polybutylene succinate (PBS) and DOPO/g-C₃N₄through melting method. The properties of the composites were studied by oxygen index instrument, infrared spectrometer and advanced rotational rheometer. The results showed that as the mass fraction of DOPO/g-C₃N₄ in the system increased,the oxygen index increased from 22 to above 25, and the vertical combustion grade increased from non-grade to V-1 and V-0 grades. It can be seen that the addition of DOPO/g-C₃N₄ improved the flame retardant performance of PBS,with  DOPO/g-C₃N₄ being added to PBS, the composite melt changed from shear thinning to shear thickening. The composite melt was a typical non-Newtonian fluid. The apparent viscosity deceased as the temperature increased. The non-Newtonian index of the PBS/DOPO/g-C₃N₄melt also increased with DOPO/g-C₃N₄ being introduced into the system. The non-Newtonian index approached to 1.0 when the ratio of DOPO/g-C₃N₄ was 10%.

The ligand(SN-Br)was synthesized from salicylaldehyde，bromoethylamine hydrobromide，and 1-n-butylimidazole，and the cage-like silver complex［Ag₄(PPh₃)₄Br₄］was obtained by hydrothemal method.The structure of the target complex was confirmed by X-ray single crystal diffraction，energy spectrum analysis，thermogravimetric analysis and other analytical methods.The structure analysis shows that the target complex is the orthorhombic system and the space group is Pcnb.The unit cell parameters are a=18.208 nm，b=18.490 nm，c=21.117 nm，α=β=γ=90°，V=7 109.37 nm3，Z=24.Four Ag atoms and four triple bridged Br atoms are arranged alternately，each Ag atom is coordinated with three Br atoms，and further coordinated with the phosphine ligand to form a cage structure.The photocatalytic performance of the［Ag₄(PPh₃)₄Br₄］complex was tested.The degradation effect of the methyl orange solution under ultraviolet light is good，and the degradation rate is 96.8%.

A new improved artificial potential field optimization algorithm is proposed to solve the problems of inaccessibility and low search efficiency in robot path planning.In order to ensure sufficient implementation in the real environment,this algorithm does not calculate all obstacles in the environment,but only carries out a close sensing measurement on the surface of the obstacles,and then detects the obstacles in a certain range through each fixed angle of the sensor.The algorithm not only proposes new repulsion and gravity functions based on the traditional artificial potential field method,but also improves the calculation principle of the potential field method to solve the problem that the target cannot be reached without increasing the amount of calculation.The experimental results fully verify that the improved artificial potential field algorithm can solve the problem that the target is not reachable in robot path planning,which shows that the algorithm is more efficient and superior than the traditional artificial potential field method.

Under laboratory conditions,a refined salt solution was prepared by reacting lightly burned powder with ammonium salt.A certain flow rate of ammonia gas was introduced into the magnesium salt solution at a certain temperature and stirring rate.

High quality flame retardant magnesium hydroxide was prepared by direct precipitation method.The effects of reaction temperature,ammonia flux,magnesium settling time and stirring rate on the particle size morphology of magnesium hydroxide were studied.The morphology and partide size and shape of the product were characterized by techniques such as vacuum scanning electron microscope(SEM) and laser particle size distributor.The experimental results showed that the magnesium precipitation reaction was based on 250 mL system.When the reaction temperature was 60 ℃,the ammonia penetration rate was 200 mL/min,and the stirring speed was 250 r/min,flake magnesium hydroxide with consistent morphology and good dispersion could be prepared at 2 h.

Ground target detection is widely used in fields such as traffic safety and drone reconnaissance due to its broad field of view.Due to the large number and small scale of ground targets,the detection accuracy is not high and the recall rate is low.In order to solve the above problems,an improved algorithm based on YOLOV3 is proposed.Firstly,the data set is clustered by dimension,and a new anchor box size is designed.The prior data is integrated into the model to enhance the effectiveness of the detection model.Secondly,the original network model is improved and the target prediction frame loss function of YOLOV3 is optimized.The original sum variance loss is replaced by CIoU loss,which improves the stability of the regression of target prediction box.The experimental results show that the recall rate of the improved algorithm is 11.2% higher than that of YOLOV3 algorithm,and the average accuracy rate(map)of the improved algorithm is increased by 3.36%.The improved algorithm effectively improves the recall rate and average accuracy of the detection algorithm,and is better than the original YOLOV3 algorithm in the performance of ground target detection.

In order to improve the purity of stachyose,the small tangential flow ultrafiltration device is used to purify the stachyose extracted from the grass silkworm.Based on the single factor experiment,such as temperature,feed solution,pH of material and operating pressure,the ultrafitration process was optimized using response curves.The results show that the optimal process conditions obtained by response surface analysis are:temperature of 50.17 ℃,feed solution,pH of material liquid of 7.36,and operating pressure of 0.25 MPa.Under these conditions,the membrane efficiency is 33.96 g/(m²·min).After ultrafitration the purity of stachyose in the extract of cordyceps sinensis reachs 68.87% which is 2.8 times higher than that before ultrafiltration,and highly fits to the model.

In order to solve the question that the multi-objective optimization problem with many solutions,this paper studies how to obtain the required solutions under decision condition,rather than all the solutions of the multi-objective problem.At present,the existing multi-objective algorithms mainly focus on the distribution and convergence of the solutions,and rarely consider the number of solutions.According to decision condition,using the multi-objective optimization algorithm based on plane to decompose the objective function of the multi-objective optimization problem,and different objective functions are divide into the plane and free dimension,so the objective space under the user′s decision conditions is established.In the objective space,limit the objective range of the objective function that constitutes the projection plane in the objective space,use the spatial distance to obtain the fitness of the projection plane,and use the aggregation function in the MOEA/D algorithm based on the decomposition strategy as the fitness function on the free dimension.Through related experimental tests and analysis,it is proved that Evolutionary Algorithm for solving Multi-objective Optimization Problem Based on Projection Plane with objective decomposition can effectively solve the multi-objective optimization problem of determining the objective domain.

In order to solve the problems in cascaded refinement networks(CRNs),such as incomplete synthetic images,loss of semantic information and large color difference of synthesized images,an improved semantic image synthesis method based on improved cascaded refinement networks(CRNs)is proposed.In cascaded thinning network,spatially-adaptive(de)normalization wasused instead of layer normalization,and activation in normalization layer was adjusted by spatial adaptive learning to make semantic information more complete.Smooth L1 loss function was introduced to reduce thecolor difference between theoutput image and contrast image.In addition,learnable spatial adaptive normalization was introduced to increase the storage capacity of network parameters.More semantic information could be learned to improve the quality of the synthesized image.Experiments on Cityscapes and GTA5 datasets show that the mean intersection over Union and pixel accuracy are 31.4% and 17.4% higher than thatof CRNs,respectively,and the Fréchet Inception Distance is 16.3% lower than CRNs.

Through the experiment of inserting copper wire mesh wick into the heat pipe,the thermal resistance factors such as the starting time,stable temperature and thermal resistance of the gravity heat pipe which mainly affect the heat transfer performance of the heat pipe with different mesh number copper wire mesh structure are analyzed and studied.The experimental results show that under the same working conditions,the start-up time of the heat pipe with different mesh size is shorter than that of the ordinary heat pipe,and the heat pipe with small mesh size has lower stable temperature.The thermal resistance first decreases and then increases with the increase of mesh size.In the scope of this experiment,3# tube has the best heat transfer performance.This experiment provides a direction for the study of heat transfer enhancement of gravity heat pipe.

Coupling ZnAl-LDH,with Ag/AgCl/to synthesize Ag/AgCl/ZnAl-LDH composite photocatalyst.The samples were characterized by XRD,SEM,TEM,BET and UV-Vis.The characterization results showed that the prepared AgCl loaded with ZnAl-LDH had a typical hydrotalcite structure,on which AgCl particles loaded.The photocatalytic activity test result showed that the methyl orange(MO)degradation percentage of 95.2% under the conditions of 25% AgCl loading,was obtained under visible light irradiation of 180 min at the MO concentration of 25 mg/L and catalyst dosage of 1 g/L.The photocatalytic mechanism is deduced as following:under irradiation of visible light,Ag clusters are formed on the surface of AgCl,and in turn the electrons and holes are produced on Ag clusters,and then transfer to AgCl particles,forming ·O^-2 and ·Cl active radicals,respectively,and then oxidize MO for decomposition.While ZnAl-LDH provides the substrate for Ag/AgCl particles.In the photocatalytic reaction process,both adsorption and kinetics affect the degradation of MO.

Fe³⁺doped Bi₃NbO₇ photocatalyst was prepared by coprecipitation method.The prepared samples were characterized by XRD,SEM,TEM and BET.The characterization results showed that Fe³⁺ entered into the lattice of Bi₃NbO₇,forming a uniform phase.The sample exhibits cubic and lamellate shape.The photocatalytic activity test results showed that the prepared material gave a better visible light driven photocatalytic activity for basic fuchsine,that the degradation percentage of 94.7%can be obtained under the condition as the initiate fuchsine concentration of 5 mg/L,photocatalyst dosage of 1 g/L and irradiation time of 240 min.In the photocatalytic reaction process,·OH and ·O^-2 are the main active radicals,and the effect of adsorption cannot be ignored.Oxygen vacancy in the Fe³⁺ doped Bi₃NbO₇ benefits for the improvment of the photocatalytic activity under visible-light.

A high-resolution video to video generation method is proposed based on the image to image synthesis algorithm to address the problem of poor video generation quality and inability to continue the generated object attributes in subsequent videos,resulting in a decrease in the visual effect of simulated videos.Adding residual blocks to the cascaded optimization network to optimize the network structure and improve the quality of generated video frames.In order to solve the problem that the attributes of the generated objects are inconsistent in subsequent videos,the optical flow is calculated by two improved cascaded optimization network prediction images,and then one image is predicted by optical flow.The two predicted images are fused to obtain the simulation video sequence.Compared with other video and image synthesis methods on cityscapes dataset,the results show that the proposed algorithm can get more realistic video,and the generated video sequences have higher evaluation.

In today's society,the problem of water pollution is getting more and more serious.In order to conduct timely and effective detection of urban water pollution and ensure people's healthy water use,it is necessary to use analytical instruments such as atomic absorption spectrophotometer to detect water quality.Based on the traditional photometer instrument,an online atomic absorption spectrophotometer based on the cloud technology of the Internet of Things was designed,and the cloud communication system of the photometer was designed in detail.The system is composed of cloud server and front-end and back-end software programs.The overall architecture of the system is designed using Python language.The MQTT IoT communication protocol and WebSocket protocol are used to realize remote communication of data and instructions from cloud servers,mobile clients and field working instruments.The actual test results show that this system achieves the function of real-time two-way transmission of information,and it has better completed the online water quality detection of the instrument.The design of this system has also improved the work efficiency of environmental monitoring personnel,and enabling water quality environmental monitoring to embark on a scientific and intelligent development path.