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To interpret the common symmetric peaks caused by the large-scale structure in the complex S(f) spectrum from the heterodyne Doppler reflectometry (DR) measurement in EAST, a 2D circular-shape O-mode full wave model based on the finite-difference time-domain method is built. The scattering characteristics and the influences on the DR signal from various scales are investigated. When the structure is located around the cut-off layer, a moving radial or poloidal large scale structure $k_\theta\lesssim k_{\theta,match}$ ($k_{\theta,match}$ is the theoretic wavenumber of Bragg scattering) could both generate an oscillation phase term called “phase modulation”, and symmetrical peaks in the complex S(f) spectrum. It was found that the image rejection ratio $A_{-1}/A_{+1}$ ($A_{\pm1}$ represent the amplitudes of $\pm1$ order modulation peaks) could be a feasible indicator for experiment comparison. In the case when the structure is near the cut-off layer same as experiment arrangement for the edge DR channel, the curve of $A_{-1}/A_{+1}$ versus to $k_\theta$ could be divided into three regions, weak asymmetrical range with $k_\theta/k_0\lesssim0.15$ ($k_0$ is the vacuum wavenumber), harmonics range with $0.15\lesssim k_\theta/k_0\lesssim0.4$, and Bragg scattering range $0.4\lesssim k_{\theta}/k_0\lesssim0.7$. In the case when the structure is located away from the cut-off layer, the final complex S(f) spectrum is the simple superimposing of modulation and Bragg scattering, and the modulation peaks have an amplitude response nearly proportional to the local density fluctuation, called the "propagation-route effect". Under the H-mode experiment arrangement for the core DR, a critical fluctuation amplitude $Amp(n_{e,Mod.@route})/Amp(n_{e,Tur.@MSA})\sim1.3-4.1$ ($Amp(n_{e,Mod.@route})$ refers to the pedestal large scale structure amplitude and $Amp(n_{e,Tur.@MSA})$ refers to turbulence amplitude at the main scattering area) is needed for the structure in the pedestal to be observed by the core DR measurement. The simulations are well consistent with the experimental results. These effects need to be carefully considered during the DR signal analyses as the injecting beam passing through the plasma region with large scale structures.

The Doppler reflectometer (DR), a powerful diagnostic for the plasma perpendicular velocity ($u_\perp$) and turbulence measurement has been widely used in various fusion devices. Many efforts have been put into extracting the Doppler shift from the DR signal. There are several commonly used methods for Doppler shift extraction, such as the phase derivative, the center of gravity (COG), and symmetric fitting (SFIT). However, the strong zero-order reflection component around $0 kHz$ may interfere with the calculation of the Doppler shift. To avoid the influence of the zero-frequency peak, the asymmetric fitting (AFIT) method was designed to calculate the Doppler shift. Nevertheless, the AFIT method may lead to an unacceptable error when the Doppler shift is relatively small compared to the half width at half maximum (HWHM). Therefore, an optimized method, which can remove the zero-frequency peak and fit the remaining Doppler peak with a Gaussian function, is devised to extract the Doppler shift. This method can still work reliably whether the HWHM is larger than the Doppler shift or not.

Aiming at the problem that the existing prediction models fail to utilize the serial correlation, temporal correlation and spatial correlation of data from multiple perspectives to achieve accurate prediction, a dual-mode spatiotemporal graph convolutional neural network model combined with attention mechanism is proposed. This paper has been tested and validated in very stochastic traffic forecasting. experiments on two publicly available traffic datasets, PeMSD04 and PeMSD08, show that AD-STGCRN has higher prediction accuracy, with the model’s prediction errors reduced by an average of 18%, 16% and 25% for MAE, RMSE and MAPE respectively on PeMSD04 compared to other prediction models. On PeMSD08 they were reduced by an average of 18%, 16% and 20% respectively.

High spatial resolution is necessary for several applications such as visual inspection, and can be achieved using high-resolution (HR) image sensors or through image super-resolution (SR) algorithms. Currently, SR algorithms are applied to either single low-resolution (LR) images or multiple LR image sequences. In this paper, we propose a hybrid super-resolution (HYSR) framework to generate HR images by combining multi-image super-resolution (MISR) and single-image super-resolution (SISR) to obtain high spatial resolution images. This method comprehensively utilizes sub-pixel-level high-frequency detail information between multiple images and co-occurrence prior of a single image to reconstruct SR images with a larger scale factor than the existing methods. Generally, the HYSR reconstruction results have more satisfactory details and visual quality than the SISR or MISR reconstruction results. A large number of qualitative and quantitative evaluation results demonstrate the effectiveness and superiority of the HYSR method over traditional MISR and SISR methods.

Contents of total organic carbon (TOC), total inorganic carbon (TIC) and total carbon (TC) in water and sediment in Shuangtaizi estuary in China were studied. The results showed that the TIC and TC contents in water were high, and the TOC content was very low. In sediment, the TOC and TC contents were high, while the TIC was very low. TOC, TIC and TC had obvious spatial distribution characteristics in water and sediment in the area. The distribution of TOC and TC in sediment was similar, which was increase along with the distance to the mouth. The distribution of TIC and TC in water was similar. The TIC was mainly distributed at the outer mouth in surface water, while at the inner in deep water was little. The terrigenous input was the main source of carbon in the area. Carbon sequestration in the long range would convert the inorganic carbon to organic carbon.

We demonstrate fast dual-comb spectroscopy based on a high-repetition-rate dual-wavelength erbium-doped fiber laser with a large repetition rate difference. It can operate in three different dual-wavelength states with repetition rate differences of 4.32, 2.74 and 3.635 kHz, respectively. To the best of our knowledge, the corresponding refresh time can be as low as 231 μs, which is the fastest in dual-comb spectroscopy using a single fundamentally mode-locked all-fiber laser. The high repetition rate of approximately 154.68 MHz provides a maximum optical frequency bandwidth of 4.37 THz. Dual-comb spectroscopy was used to measure the transmittance curve of the Fabry–Perot etalon.

Triethylamine (TEA) exists widely in production and life and is extremely volatile, which seriously endangers human health. It is required to develop high-performance TEA sensors to protect human health. We fabricated Pt-Co3O4/WO3 based on our previous work, and the performance was tested against volatile organic compounds. Compared with the previous work, its operating temperature was greatly reduced from 240 °C to 180 °C. The response value of Pt-Co3O4/WO3 was increased from 1101 to 1532 for 10 ppm TEA with good selectivity. These results show a significant step toward practical use of the Pt-Co3O4/WO3 sensor.

Photoreflectance (PR) spectroscopy is a powerful and non-destructive experimental technique to explore interband transitions of semiconductors. In most PR systems, the photon energy of the pumping beam is usually chosen to be higher than the bandgap energy of the sample. To the best of our knowledge, the highest energy of pumping laser in reported PR systems is 5.08 eV (244 nm), not yet in the vacuum ultraviolet (VUV) region. In this work, we report the design and construction of a PR system pumped by VUV laser of 7.0 eV (177.3 nm). At the same time, dual-modulated technique is applied and a dual channel lock-in-amplifier is integrated into the system for efficient PR measurement. The system’s performance is verified by the PR spectroscopy measurement of well-studied semiconductors, which testifies its ability to probe critical-point energies of the electronic band in semiconductors from ultraviolet to near-infrared spectral region.

With the consumption of fossil energy and the deterioration of the environment, both distributed generation (DGs) including photovoltaic (PVs) and electric vehicles (EVs) have ushered in a period of rapid development. However, the DG’s randomness, intermittency, and large-scale EV charging have brought challenges to the safety and economy of the distribution network (DN). This paper comprehensively considers the impact of large-scale EVs and DGs of high penetration on the DN, establishing reactive power and voltage optimization model for minimizing the network loss and voltage deviation by regulating the energy storage (ES) and voltage adjusting devices including on-load tap changer (OLTC), capacitors banks (CB), and static var compensator (SVC). Next, the proposed model is simplified by the method of variable substitution, second-order cone programming (SOCP), and linearization. Finally, the validity of the model is verified by the IEEE 33-node simulation.

Large-scale topography, such as a seamount, substantially impacts low-frequency sound propagation in an ocean waveguide, limiting the application of low-frequency acoustic detecting techniques. A three-dimensional (3D) coupled-mode model is developed to calculate the acoustic field in an ocean waveguide with seamount topography and analyze the 3D effect. In this model, a correction is introduced in the bottom boundary, theoretically making the acoustic field satisfy the energy conservation. Furthermore, a large azimuth angle calculation range is obtained by using the operator theory and higher-order Padé approximation. Additionally, the model has advantages related to the coupling mode and parabolic equation theory. The couplings corresponding to the effects of range-dependent environment are fully considered, and the numerical implementation is kept feasible. After verifying the accuracy and reliability of the model, low-frequency sound propagation characteristics in the seamount environment are analyzed. The results indicate lateral variability in bathymetry can lead to out-of-plane effects such as the horizontal refraction phenomenon, while the coupling effect tends to restore the abnormal sound field and produces acoustic field diffraction behind the seamount. This model effectively considers the effects of the horizontal refraction and coupling, which are proportional to the scale of the seamount.

Exploring the format of active site is essential to further the understanding of an electrocatalyst working under ambient conditions. Herein, we present a DFT study of electrocatalytic nitrogen reduction (eNRR) on W4 tetrahedron embedded in graphene-like C2N (denoted as W4@C2N). Our results demonstrate that N-affinity of active sites on W4 dominate over single-atom site, rendering *NH2 + (H+ + e−) →*NH3 invariably the potential-determining step (PDS) of eNRR via consecutive or distal route (U L = −0.68 V) to ammonia formation. However, *NHNH2 + (H+ + e−) →*NH2NH2 has become the PDS (U L = −0.54 V) via enzymatic route towards NH2NH2 formation and thereafter desorption, making W4@C2N a potentially promising catalyst for hydrazine production from eNRR. Furthermore, eNRR is competitive with hydrogen evolution reaction (U L = −0.78 V) on W4@C2N, which demonstrated sufficient thermal stability and electric property for electrode application.

Photocatalytic water splitting is considered to be a feasible method to replace traditional energy. However, most of the catalysts have unsatisfactory performance. In this work, we used a hydrothermal process to grow Ag nanoparticles in situ on g-C3N4 nanosheets, and then a high performance catalyst (Ag–g–C3N4) under visible light was obtained. The Ag nanoparticles obtained by this process are amorphous and exhibit excellent catalytic activity. At the same time, the local plasmon resonance effect of Ag can effectively enhance the absorption intensity of visible light by the catalyst. The hydrogen production rate promote to 1035 μmol g−1 h−1 after loaded 0.6 wt% of Ag under the visible light, which was 313 times higher than that of pure g-C3N4 (3.3 μmol g−1 h−1). This hydrogen production rate is higher than most previously reported catalysts which loaded with Ag or Pt. The excellent activity of Ag-g-C3N4 is benefited from the Ag nanoparticles and special interaction in each other. Through various analysis and characterization methods, it is shown that the synergy between Ag and g-C3N4 can effectively promote the separation of carriers and the transfer of electrons. Our work proves that Ag-g-C3N4 is a promising catalyst to make full use of solar energy.

With the possible spacial association to the Fermi/LAT source 3FGL J1330.0–3818, TOL 1326–379 may be the first one that is identified as a γ-ray emitting Fanaroff–Riley type 0 radio galaxy (FR0 RG). We analyze the ∼12 yr Fermi/LAT observation data of this γ-ray source and examine its association to TOL 1326–379. We show that the γ-ray source (named as J1331.0–3818) is tentatively detected with a TS value of 28.7, 3FGL J1330.0–3818 is out of the 95% containment of J1331.0–3818, and their positions are spatially separated ∼0.°2. 4FGL J1331.3–3818 falls into the 68% containment of J1331.0–3818, suggesting that our result agrees with that reported in the Fourth Fermi LAT Source Catalog. TOL 1326–379 is out of the 95% containment of J1331.0–3818, and their positions are spatially separated ∼0.°4, indicating that the association between J1331.0–3818 and TOL 1326–379 is quite ambiguous. However, we do not find other possible potential radio or X-ray counterpart within the circle centered at J1331.0–3818 with a radius of 0.°4. The spectral energy distribution (SED) of TOL 1326–379 shows a bimodal feature as seen in the γ-ray emitting RGs. We fit the SED with the one-zone leptonic model and find that the average energy spectrum of J1331.0–3818 agrees with the model prediction. Assuming that J1331.0–3818 is an unidentified γ-ray source, we derive the upper-limit of the γ-ray flux for TOL 1326–379. It is not tight enough to exclude this possibility with the SED modeling. Based on these results, we cautiously argue that the γ-ray source J1331.0–3818 is associated with TOL 1326–379 and its jet radiation physic is similar to those γ-ray emitting RGs.

Since the end of 2019, the Corona Virus Disease 2019 (COVID-19) pandemic has led to a surge in the use of all kinds of medical supplies, especially surgical masks. Based on the microstructure and anti-virus mechanism of melt-blown materials used for medical masks, this paper introduces the research status of nonwoven filter materials used for protective masks. At the same time, the surface interface structure of four disposable medical protective masks from different manufacturers was analyzed by scanning electron microscope, and the difference of melt-blown materials of these masks was studied. The results show that the fiber diameter of melt-blown mask with better protective effect is fine and compact, and the aperture formed between fibers is smaller. This reasearch provides new ideas for further research and development of non-woven materials for medical masks.

Today, with the arrival of informatization, the application of education informatization in the field of education and teaching and the management process is being gradually deepened. The application mode has effectively promoted the profound reform of education mode, teaching methods and learning mode. The main content of the construction of higher education informatization and experimental teaching demonstration center is to establish a virtual simulation experimental teaching center, which has had a positive and important impact on the improvement of higher education quality and the deepening of experimental teaching reform. Virtual simulation technology uses a variety of emerging science and technologies to make otherwise challenging and dangerous experiments simple. According to the main characteristics of virtual simulation teaching, we discusses the application of virtual simulation teaching in computer network teaching and proposes corresponding suggestions for relevant problems.

In this work, based on physical vapor deposition and high-temperature annealing (HTA), the 4-inch crack-free high-quality AlN template is initialized. Benefiting from the crystal recrystallization during the HTA process, the FWHMs of X-ray rocking curves for (002) and (102) planes are encouragingly decreased to 62 and 282 arcsec, respectively. On such an AlN template, an ultra-thin AlN with a thickness of ~700 nm grown by MOCVD shows good quality, thus avoiding the epitaxial lateral overgrowth (ELOG) process in which 3–4 μm AlN is essential to obtain the flat surface and high crystalline quality. The 4-inch scaled wafer provides an avenue to match UVC-LED with the fabrication process of traditional GaN-based blue LED, therefore significantly improving yields and decreasing cost.

Trace poisonous and harmful gases in the air have been harming and affecting people's health for a long time. At present, effective and accurate detection of ppb-level harmful gas is still a bottleneck to be overcome. Herein, we report a ppb-level triethylamine (TEA) gas sensor based on p-n heterojunction of Co3O4/WO3, which is prepared with ZIF-67 as the precursor and provides Co3O4deposited tungsten oxide flower-like structure. Due to the introduction of Co3O4and the 3D flower-like structure of WO3, the Co3O4/WO3-2 gas sensor shows excellent gas sensing performance (1101 for 10 ppm at 240 °C), superb selectivity, good long-term stability and linear response for TEA concentration. Moreover, the experimental results indicate that the Co3O4/WO3-2 gas sensor also possesses a good response to 50 ppb TEA, in fact, the theoretical limit of detection is 0.6 ppb. Co3O4not only improves the efficiency of electron separation/transport, but also accelerates the oxidation rate of TEA. This method of synthesizing p-n heterojunction with ZIF as the precursor provides a new idea and method for the preparation of low detection limit gas sensors.

In this study, we investigated the effects of the quartz tube diameter, air flow rate, and applied voltage on the characteristics of an air plasma jet to obtain the optimized discharge characteristics. The physicochemical properties and concentration of reactive oxygen and nitrogen species (RONS) in plasma-activated medium (PAM) were characterized to explore their chemical activity. Furthermore, we investigated the inactivation effect of air plasma jet on tumour cells and their corresponding inactivation mechanism. The results show that the tube diameter plays an important role in sustaining the voltage of the air plasma jet, and the gas flow rate affects the jet length and discharge intensity. Additionally, the air plasma jet discharge displays two modes, namely, ozone and nitrogen oxide modes at high and low gas flow rates, respectively. Increasing the voltage increases the concentration of reactive species and the length of discharge. By evaluating the viability of A549 cells under different parameters, the optimal treatment conditions were determined to be a quartz tube diameter of 4 mm, gas flow rate of 0.5 SLM, and voltage of 18 kV. Furthermore, an air plasma jet under the optimized conditions effectively enhanced the chemical activity in PAM and produced more aqueous RONS. The air plasma jet induced significant cytotoxicity in A549 cancer cells after plasma treatment. H2O2 and NO− 2 are regarded as key factors in promoting cell inactivation. The present study demonstrates the potential use of tumour cell therapy by atmospheric air plasma-activated medium, which aids a better understanding of plasma liquid chemistry.

In this paper, the dispatching problem for multi-AGVs in the matrix manufacturing workshop from the practical factories is optimized. The goal is to reduce the transportation cost, including the cost of AGVs, distance cost and time cost. In order to solve the problem, we develop a mixed integer linear programming model. Then, an effective iterative greedy algorithm (IG) is proposed. The nearest-neighbor-based heuristic is used to generate high-quality initial solutions. An effective gradient unload method is designed. For the local search stage, three efficient operators are proposed. Finally, examples for experiment come from Foxconn electronic company. Comprehensive evaluation shows that the performance of the proposed IG is significantly better than some existing algorithms in the literature.

In this paper, a mathematical model of micro-heat pipe module is established, and the thermal performance of micro-heat pipe module under different heating power and different heat conducting fins is studied by numerical simulation method. The simulation results show that the maximum temperature difference on the substrate surface of the micro-heat pipe is within 2.5 °C, and the micro-heat pipe can effectively diffuse the concentrated heat source and has excellent temperature uniformity characteristics at high heat flux. Further, The influence of heating power and heat conduction fins on the heat transfer performance of the micro-heat pipe module has been analyzed. It is found that the thermal diffusion performance of the micro-heat pipe module reaches the optimal when the heat flux density is 180W and the heat conduction fins are 20 pieces. Simulation shows that the micro-heat pipe module can avoid the thermal stress concentration of the substrate to the greatest extent, thus ensuring the efficient and stable operation of the power module.

The non-polar a-AlGaN epitaxial film was successfully grown on the semi-polar r-sapphire substrate by metal-organic chemical vapor deposition technique. An Al-composition-graded AlxGa1−xN (x = 0.0 to 1.0) intermediate layer with varying film thickness from 260 to 695 nm was deposited between the high-temperature AlN layer and the non-polar a-AlGaN epitaxial film to enhance the morphological and crystalline quality. The non-polar a-AlGaN epitaxial films were investigated by using atomic force microscopy (AFM), high-resolution x-ray diffraction, photoluminescence (PL) spectroscopy and the Hall effect measurement techniques. The characterisation results indicate substantial improvements in surface morphology and crystalline quality for the non-polar a- AlGaN epitaxial film grown by adding an Al-composition-graded AlGaN intermediate layer. The surface roughness measured from AFM and the defect-related emission (yellow band) relative to the near-band-edge emission from PL spectra were decreased significantly by optimizing the layer thickness of the Al-composition-graded AlGaN layer. A relatively low background carrier concentration down to −4.4 × 10 17 cm−3 was achieved from Hall effect measurement for the non-polar a-AlGaN epitaxial film.

This paper takes the online detection equipment of high temperature forgings in the forging environment as the research goal, and uses laser triangulation to perform 3D point cloud imaging of high temperature forgings, and then conducts online detection of the defects, temperature, position, size and other parameters of the forgings. Real-time information feedback of measurement results, and timely adjustment of forging equipment and improvement of production process routes based on the feedback results, thereby effectively improving forging accuracy and forging efficiency, and reducing the work intensity of workers.

Aiming at the characteristics of high target dimensionality, strong nonlinearity and complex constraints of distribution network reactive power optimization problems, this paper proposes an improved shuffled frog leaping algorithm based on SA strategy (ISFLASAS) to solve the problem. Firstly, the algorithm uses the global optimization capability of SFLA to detect the optimal solution, and improves the standard SFLA. Incorporating a reciprocal strategy during population initialization to improve the uniform distribution ability of the initial solution and speed up the search for the optimal solution. Secondly, using the local escape ability of the SA strategy, in the later stage of the SFLA calculation, the SA strategy is assisted to jump out of the local optimum with a certain probability to improve the global detection ability. Finally, the IEEE 33-node system is used to simulate and analyze the proposed model algorithm to verify the proposed control strategy.

In this paper, an orthogonal chirp-division multiplexing (OCDM) symbol-based radar signal processing approach used to estimate the distance and velocity of the target echo in the Radar-Communication (RadCom) system is introduced. And to improve the accuracy of radar resolution, two radar signal processing algorithms, respectively based on periodogram and multiple signal classification (MUSIC) are presented. Simulation results show that these algorithms can significantly improve the scatterer of the radar range profile.

The forensic toxicology mainly focus on the determination of the biological damage relationship of external factors through scientific methods. The causation of environmental tort of toxic and harmful substances is on the polluters. However, some judicial practices deviate from the legislative logic. In this study, the contact causality and injury causality, as well as the classification of general causality and specific causality were analysed and discussed. In the result, in the case of scientific uncertainty, the burden of proof of general causality should be assigned to the polluter; in the case of scientific certainty, the burden of proof should be assigned to the injured party. In addition, the burden of proof of specific causality should also be assigned to polluters. This paper is expected to provide a reference for the related research.

With the advent of the era of big data, new vision and broad ideas have been provided for college teaching. Using big data-related knowledge to study the teaching system of universities can not only promote the implementation of big data teaching in universities, but also effectively improve the quality of university teaching. This article discusses the technology related to the teaching big data cloud platform. This article introduces the role and application of the association rule algorithm in the process of big data mining, and according to the actual situation, studies the use of this algorithm in the process of big data mining in colleges and universities. In order to further reflect the advantages of its algorithm, it is compared with other algorithms, which proves that the algorithm in this paper has higher execution efficiency and accuracy.

With the continuous expansion of the grid-connected scale of wind farms, the problem of the stability of the grid-connected point voltage of wind farm cluster has become increasingly prominent. However, the current reactive voltage control strategy of wind farm cluster has less research on the optimization of the internal node voltage and grid loss of wind farms, and the problem of the reduction of wind turbine life caused by the full reactive power of doubly-fed wind turbines needs further research. In view of the above problems, this paper proposes a wind farm cluster reactive voltage hierarchical control strategy based on the reactive power margin of doubly-fed wind turbines. The strategy improves the traditional artificial fish algorithm and realizes the reactive voltage control of wind farm cluster. As a result, the node and network loss have reached a certain degree of optimization.

The spontaneous emission rate of a two-level quantum emitter (QE) near a gold nanorod is numerically investigated. Three different optical response models for the free-electron gas are adopted, including the classical Drude local response approximation, the nonlocal hydrodynamic model, and the generalized nonlocal optical response model. Nonlocal optical response leads to a blueshift and a reduction in the enhancement of the spontaneous emission rate. Within all the three models, the resonance frequency is largely determined by the aspect ratio (the ratio of the nanorod length to the radius) and increases sharply with decreasing aspect ratio. For nanorod with a fixed length, it is found that the larger the radius is, the higher the resonance frequency is, and the smaller the enhancement is. However, if the length of the nanorod increases, the peak frequency falls sharply, while the spontaneous emission enhancement grows rapidly. For nanorod with a fixed aspect ratio, the peak frequency decreases slowly with increasing nanorod size. Larger nanorod shows smaller nonlocal effect. At a certain frequency, there is an optimal size to maximize the enhancement of the spontaneous emission rate. Higher order modes are more affected by the nonlocal smearing of the induced charges, leading to larger blueshift and greater reduction in the enhancement. These results should be significant for investigating the spontaneous emission rate of a QE around a gold nanorod.

Many functional areas have been formed in the development of the city, and the gathering of taxis can basically reflect the travel situation of the crowd. Combining urban functional areas and taxi GPS data to analyze crowd travel conditions can provide decision support for the construction of smart cities. Therefore, this paper analyzed the travel situation of crowd in Changsha urban area based on multi-source data. First, this paper clusters the distribution of public transit stations in Changsha, and then imports the geographic location information of the cluster centers into the Voronoi diagram in ArcGis to divide the urban area of Changsha. Then the divided areas and Point of interest (POI) data are counted and analyzed to obtain the functionality of each area. Finally, the taxi GPS data is clustered according to the time period, and the cluster center is mapped to the urban functional area, to analyzed the crowd clustering situation of each functional area in Changsha in different time periods.

The network car has solved some problems of traditional taxis from the perspective of safety and convenience, but there are still gaps in the inter-city field. This paper proposes a scheduling method to solve the inter-city travel field from the regional perspective. Firstly, the platform of the system is built from the perspective of software development, and then the traditional scheduling algorithm for dispatching orders in the city is studied. Finally, the intercity scheduling algorithm is mainly designed. This paper fills the gap in the field of inter-city travel between vehicles, and the scheduling algorithm performs well, with good order taking rate and travel efficiency. The establishment of the regional network car platform meets the needs of the public for inter-city travel. The platform itself has practical significance, and the study of scheduling algorithm also provides ideas and reference for the field of vehicle scheduling.