Iridium benzothiophen complexes with red light emission has strong electroluminescence performance, which have been widely applied in photoelectric display field. Take 2-(benzothiophen-2-yl)- quinoline as basic ligand, the electronic structures and spectroscopic properties of a series of isomer iridium (btq)2Ir(pic) [btq=2-(benzothiophen-2-yl)quinolin(1), 3-(benzothiophen-2-yl)isoquinoline(2), 1-(benzothio- phen-2-yl)isoquin/oline(3), pic=picolinate ancillary ligands] complexes have been investigated theoretically. Their structures of S0 and T1 were optimized by the B3LYP and CIS methods, the TD-DFT method with the CPCM model were used to obtain their absorption and phosphorescent emission spectra in CH2Cl2 media. The results revealed that the optimized structural parameters agreed well with the corresponding experimental results. The lowest-lying absorptions and emissions are at 488 (1), 455 (2), 485 (3) and 679 (1), 642 (2), 683 nm(3), respectively. The highest occupied molecular orbitals were localized mainly on the d orbital of the metal and the π orbital of the btq ligand for 1-3, while the lowest unoccupied molecular orbitals were mainly composed of π* orbital of the btq ligand. Therefore, the lowest-lying absorptions and emissions were assigned to the metal to btq ligand charge transfer (MLCT)/intra-ligand charge transfer (ILCT) transition. The change of benzene ring position has no significant effect on the main structure of these complexes, but both steric hindrance and conjugation have significantly effect on its luminous color.  

Methylene blue, as a dye, has been widely used in industry, medicine, aquaculture, skin care, and et al. But excessive use of methylene blue, not only pollutes the environment, but also endangers the health of human beings and animals. In this paper, ratio-fluorescence detection system has been founded through mixing of graphene and CdTe quantum dots, and a method for quantitative analysis of MB is founded based on linear relationship between variety of fluorescence intensity and concentrations of methylene blue, of which linear range is 3.13 - 9.38 nmol/L and the lowest detection limit is 0.5589 nmol/L. This method have good sensitivity, selectivity and stability, could be used for more accurate detection of methylene blue.

ASP produced water has complex water quality, high salinity, high viscosity, high oil-containing emulsification, high content of small oil droplets, and difficult oil-water separation, which has an increasingly serious impact on oilfield production and the environment. Therefore, it has become an important task to carry out research on efficient treatment methods of ASP produced water. In order to improve the oil-water separation efficiency in ASP produced water, in this paper, using sodium carboxymethylcellulose (CMC) as the main chain, methacryloyloxyethyltrimethylammonium chloride (DMC) as the monomer, potassium persulfate (KPS) as the initiator, the cationic modified carboxymethyl cellulose graft copolymer (CDC) was prepared by aqueous solution polymerization, and applied to ASP produced water flocculation experiments. From the analysis of CDC feeding amount, flocculation temperature and CDC grafting rate, it is concluded that the flocculation effect of CDC is better than that of CMC. The optimal feeding amount of CDC was 50 mg/L, the flocculation effect did not change significantly when the flocculation temperature exceeded 45oC, and the optimal grafting rate of CDC was 77.5%.

The contents of Ca, Mg, Fe, Zn, Cu, Mn, Cr, Cd and Pb in 20 kinds of oil samples were determined by microwave digestion-flame atomic absorption spectrometry and graphite furnace atomic absorption spectrometry respectively, and the metal elements in the oil samples were comprehensively analyzed and evaluated. The results showed that the contents of metal elements were differences among different kinds of edible oils, however, the metal elements in 20 kinds of oil samples were rich, and Ca, Mg, Fe and Zn were the most metal elements. Heavy metal elements Cr, Pb, Cd were detected in 3 kinds of waste oil samples, and some heavy metal elements was higher than the limit value of National standard. Therefore, it was preliminarily judged that 17 kinds of edible oils were safe to eat, while gutter oil was less safe and should not be consumed.

In order to effectively prevent the rescue accidents of chemical enterprises and deeply explore the causes of the accidents, 27 rescue accidents of chemical enterprises are analyzed. It is clear that the rescue accidents mainly occurred in the rescue operation process of the confined space. According to the event time series, 24Model is used to analyze the rescue accident causes of chemical enterprises. The frequency of unsafe acts of the managers is higher than that of the direct operators. The high-frequency unsafe acts of the managers are failure to effectively carry out safety training, with a frequency of 43 times, accounting for 31.16%. The high-frequency unsafe acts of the operators include failure to take effective safety detection measures, failure to have operation qualification and failure to wear labor protection appliances. The research results show that measures such as normalized safety training and emergency drill, operation examination of special operators, operation safety requirements and on-site supervision of dangerous operation, scientific allocation and correct wearing of labor protection appliances can help to improve the accident prevention effect and effectively avoid the occurrence of rescue accidents in chemical enterprises.

Heart disease, as one of the most serious vascular diseases that threaten human life and health in today's society, not only seriously threatens human life safety, but also brings serious economic burden to families and society due to high treatment costs. Aiming at the problems of insufficient accuracy and lack of feature interpretability in the current heart disease prediction research, by mining the important features that affect heart disease, the accurate prediction of heart disease and the interpretability analysis of influencing factors are realized. First, use the T test to analyze the significant difference (P-value) between the features, and select the features to combine by descending the P-value value. Then, the prediction of heart disease and its feature interpretability analysis were implemented using ten machine learning models and SHAP methods. Validation experiments were performed on the UCI heart disease dataset, and it reached 1 on seven evaluation indicators widely used in medical fields, which was better than and compared with the experimental results of the paper. Finally, the SHAP method is used to analyze the interpretability of 13 features, and the results are visualized through feature importance ranking, and the association between a single feature and heart disease can be mined, which can provide decision support for doctors in precision medicine for heart disease.

In order to solve the problems of lack of individual diversity, slow search speed and easy to fall into local optimization in the optimization of standard genetic algorithm, the crossover operator and mutation operator of adaptive adjustment are used to improve the algorithm, and the key parameters of stable control of linear one-stage inverted pendulum model are optimized by using the improved genetic algorithm. The optimization process is simulated on Python3.8 software. The simulation results show that the improved genetic algorithm can better balance the global search and local search ability, and shows good results in the experiment.

Aiming at the problems of low accuracy and low efficiency in point cloud registration without any initial value, a rough registration method of 3D point cloud based on feature matching was proposed. Firstly, the local normal vector of the point cloud is used to describe its features, and feature retention weights are added to filter feature information to improve the efficiency of registration; Then feature histograms are built according to the reserved feature information, and the initial matching point pairs are obtained by comparing the information described by the feature histograms; Finally, the rigid invariant constraint and random sample consensus algorithm were combined to screen the correct matching point pairs, and the rotation matrix and translation vector were calculated by the quaternion method. Experimental results show that the proposed algorithm has higher accuracy and efficiency compared with other rough registration algorithms, and provides a good initial value for the subsequent fine point cloud registration.

The temperature of mash is an important parameter affecting the efficiency of ethanol fermentation. In order to ensure the efficiency of ethanol fermentation and improve the economic benefit of ethanol production. The Profit Loop control algorithm in Honeywell PKS system is used to design the mash temperature control system, and the model predictive control of the mash temperature is realized. After the system running test, the stable control of the mash temperature is realized. The execution frequency of the actuator is effectively reduced, the control effect is good, and the control requirements are satisfied.

In an ethanol plant, because the transmission equipment in the conveying section is long and complicated, the material is transmitted in the entire transmission equipment, and once one of the transmission equipment fails, because the traditional interlock control may have the defects of long interlock response time and untimely response, there is the possibility of causing clogging and other accidents. In order to solve this problem, this paper decomposes the whole interlocking system problem into a single device control scheme, and improves the interlocking control algorithm to reduce the time of device interlocking. Both algorithms are simulated with Honeyville PKS system, and the simulation results show that the improved algorithm is better than the traditional one.

Based on the characteristics of circulating fluidized bed boiler (CFBB) combustion system, such as nonlinearity, multivariable and large time delay, this paper proposes a fuzzy PID control scheme to optimize the combustion system of CFBB, and compares it with PID controller. The results show that the control effect of fuzzy PID controller is better than that of conventional PID controller.

With the progress of AI (artificial intelligence), more and more people are benefiting from the advantages of AI in daily life. Wearing mask is proven to be an effective means to block virus spread in pandemic control. However, there is still increasing risk of pandemic spread if wearing mask or not is checked only by labour in crowded places. Therefore, it is particularly important to detect mask wearing by AI target recognition technology, and scholars at home and abroad have started related research in this field. In this paper, the author, depending on the quantitative visualized analysis functions of CiteSpace, made a visualized analysis on Chinese and foreign papers related to AI mask wearing detection collected in CNKI and Web of Science databases during 2021-2022, and sorted out the number of Chinese and foreign papers published, research institutions, keyword co-occurrence map, cluster map, and co-author map. This paper studies the application of mask wearing detection by AI target recognition technology in pandemic control, analyzes the differences between Chinese and foreign research, and provides references for scholars engaged in the research on AI target detection so as to promote the development of AI target recognition technology.

In order to study the influence of snake-like flow field structure on fuel cell performance, a three-dimensional cathode model of snake-like flow field of proton exchange membrane fuel was established by using multi-physical field direct coupling analysis software COMSOL.The influence of single, double and triple serpentine flow fields on the pressure distribution in the cell flow field was analyzed, and the validity and reliability of the established model were verified.On the basis of the three-serpentine flow field structure, when the serpentine fuel cell corner is designed as a right-angle structure and a rounded corner structure, the fluid velocity inside the flow field and at the inflection point of different corner structures are analyzed.The results show that the pressure loss of the three-serpentine flow field is relatively small. The serpentine fuel cell with a rounded corner structure can improve the flow and diffusion of reaction gas, thus increasing the reaction rate.

Based on computer simulation technology and in combination with professional teaching requirements, a virtual reality environment of the automobile engine performance is constructed. On this platform, with the intelligent guidance function of the system, students can independently finish the learning of the laboratory environment cognition and the composition  and working principles of all parts of the engine testing system as well as fulfilling the simulation test process of engine speed and load properties, etc. This simulation experiment teaching system can strengthen students' understanding and application of automobile testing methods and solve the problems such as being difficult to meet the equipment conditions, low teaching efficiency, high safety risks and high testing costs in engine performance experiments under real conditions.

Based on lean thinking of industrial engineering, this paper studies goods handling systems of logistics enterprises by taking the W warehouse in J logistics company as an example. Through field visits, observation, and operation，problems in site layout, unlocking registration procedures, and goods handling process when goods arrive at the warehouse for transshipment are found. Based on the theories and methods of layout optimization, two-hand operation analysis and process program analysis, this paper proposes a reasonable and feasible optimization scheme to reduce labor cost and time cost, so as to improve the efficiency of goods handling system.

In China, the fruit picking of sea buckthorn is mainly by the traditional artificial pruning method, which has greatly damaged the resources of sea buckthorn. In this paper, an air-suction plucking device with strong applicability, simple operation, stable and reliable was developed. Based on the mechanical system design of the plucking device, the flow field simulation and analysis software FLUENT was used to model and simulate the plucking device's air pipe ways, and the gas pressure and velocity transformation diagram in the air pipe ways were obtained, and the optimal working parameters for plucking sea buckthorn fruit were determined. It provides the index parameter basis for the further design of air-suction sea buckthorn picking device.

In order to realize the rapid recognition of walnut shell defects and improve the walnut sorting efficiency based on machine vision, a walnut shell defect detection method based on improved yolov5s is proposed. In yolov5s network, convolution with convolution kernel size 3 is widely used for feature extraction. In order to reduce the amount of network calculation, this paper proposes to use depth wise separable convolution instead of convolution with convolution kernel size 3 in residual network, so as to improve the speed of walnut shell detection. In addition, in order to ensure that the accuracy can meet the requirements, this paper also uses the improved mean clustering to initialize the detection frame, improve the quality of the generated detection frame, and then improve the detection accuracy of walnut shell defects. Because the clustering method has less computation than the whole network structure, it has little impact on the speed of peach shell detection. Through experimental comparison and analysis, the improved yolov5s can quickly identify walnut shell defects, and the recognition accuracy remains basically unchanged.

Due to many input signals, constraints and interlocking conditions, etc., the traditional design method is difficult to solve or there are many memory elements in the complex pneumatic program electronic control system. The paper proposes a new grouping principle based on the characteristics of monostable and bistable directional valves with the optimization goal of "the fewer groups the better", and simplifies the circuit design by using logic function operations. The simulation and experimental results show that this method is not only scientific, efficient, simple and regular, moreover, the designed electrical circuit has the advantages of simple structure, simple and intuitive fault diagnosis and elimination.

To solve several problems in mold design of irregular cover plastic parts, taking an electrical appliance cover as an example, CAE technology was adopted to compare molding effects of three gating system schemes：single point gate, double point gates along X direction and double point gates along Y direction, cooling analysis was conducted to test effect of cooling system with baffled hole system in moving mold side and simple cooling hole in fixed mold side. Single point gate scheme was selected. For problems found in analysis such as uneven shrinkage and excessive stress, by changing local thickness of plastic part model, adjusting molding process parameters such as mold temperature, filling time and packing curve, optimize layout of cooling system, qualified plastic parts were obtained. With CAD software NX and MoldWizard plug-in , mold structure was constructed including main parting surface, inclined plane positioning between mold working parts and place chambers, dowel lifters, ejecting mechanism combining ejector sleeve for small hole and ejector pins for main body of plastic part, standard 3-plate mold base and standard parts. Efficiency of mold design and test was improved.

Take the neutral pen sleeve as an example, the plastic mould with 1 mode 48 cavities was designed. Firstly, the non-equilibrium gating system was designed preliminarily and optimally, the BGV values of it were calculated and compared, the optimum design dimension was determined. Then, two kinds of filling analysis models were established. The results show that the optimal design can reduce the time gap between the firstly filling and lastly filling , the filling pressure by 20MPa.Finally, according to the optimization design of the gating system for the structure of the mold design and production experiments, the experiment proved that this sub-grouping optimization design for the sub-runner, it shortens the processing cycle of the mould, guarantees the quality of the plastic parts, realizes the high efficiency production, and provides a feasible reference for optimizing the filling of multi-cavity mould.