Transfer Costs Research Articles

29‐1:Invited Paper:Emitters for Flat Panel microLED Displays

Advances in the brightness, efficiency, and dynamic range of emissive displays are made possible by integrating microLEDs inside every pixel. Economical realization of these displays demands a diverse set of process technologies and device designs to accommodate the characteristics of microLEDs in large‐area formats. Here, we present advancements in stamp‐based mass transfer. We present schemes for packaging microLEDs into multi‐color emitter structures that interface readily with backplane materials. The structures reduce mass transfer cost by increasing parallelism of the process. We demonstrate their utility in active pixel arrays that use microICs as drivers. We introduce a coverglass with light trap film stacks for enhancing contrast in microLED displays. Finally, we present a surface mountable device that incorporates these technologies into a format that is applicable to videowalls and digital signage.

Reinforcement Learning for Load-Balanced Parallel Particle Tracing.

We explore an online reinforcement learning (RL) paradigm to dynamically optimize parallel particle tracing performance in distributed-memory systems. Our method combines three novel components: (1) a work donation algorithm, (2) a high-order workload estimation model, and (3) a communication cost model. First, we design an RL-based work donation algorithm. Our algorithm monitors workloads of processes and creates RL agents to donate data blocks and particles from high-workload processes to low-workload processes to minimize program execution time. The agents learn the donation strategy on the fly based on reward and cost functions designed to consider processes' workload changes and data transfer costs of donation actions. Second, we propose a workload estimation model, helping RL agents estimate the workload distribution of processes in future computations. Third, we design a communication cost model that considers both block and particle data exchange costs, helping RL agents make effective decisions with minimized communication costs. We demonstrate that our algorithm adapts to different flow behaviors in large-scale fluid dynamics, ocean, and weather simulation data. Our algorithm improves parallel particle tracing performance in terms of parallel efficiency, load balance, and costs of I/O and communication for evaluations with up to 16,384 processors.

Hierarchical Residual Encoding for Multiresolution Time Series Compression

Data compression is a key technique for reducing the cost of data transfer from storage to compute nodes. Increasingly, modern data scales necessitate lossy compression techniques, where exactness is sacrificed for a smaller compressed representation. One challenge in lossy compression is that different applications may have different accuracy demands. Today's compression techniques struggle in this setting either forcing the user to compress at the strictest accuracy demand, or to re-encode the data at multiple resolutions. This paper proposes a simple, but effective multiresolution compression algorithm for time series data, where a single encoding can effectively be decompressed at multiple output resolutions. There are a number of benefits over current state-of-the-art techniques for time series compression. (1) The storage footprint of this encoding is smaller than re-encoding the data at multiple resolutions. (2) Similarly, the compression latency is generally smaller than re-encoding at multiple resolutions. (3) Finally, the decompression latency of our encoding is significantly faster than single encodings at the strictest accuracy demand.

39 Certified Burn Center Access in the United States: The Geospatial and Transport Cost of Transfer

Abstract Introduction Specialized burn centers are critical in minimizing burn-associated morbidity and mortality. However, American Burn Association (ABA)-verified burn centers are unequally distributed across the US, and fewer verified centers are available for pediatric patients relative to adults. The economic burden of transport to verified centers represents a significant proportion of the already high cost of burn-associated care. The present study aims to quantify inequitable burn care access in the contiguous US due to age group and locality as a function of physical proximity and transportation cost. Methods County-level distances (n=3,106) to the nearest ABA-verified adult or pediatric burn center were determined and mapped. Distances were then analyzed separately for rural (n = 1440) and urban (n = 1666) counties for both adult and pediatric burn centers. Distance calculations for each population were combined with transport cost data (2022 CMS Ambulance fee Schedules) to determine the average cost of transport for each patient population (adult vs. pediatric, urban vs. rural). Results 59 Adult and 43 Pediatric ABA-verified centers were identified from the ABA burn center directory. Pediatric patients reside 30.57 miles (p < 0.001) further than adults from the nearest center, accounting for a 10.5% - 15.9% transport cost increase. Transport costs increased dramatically between urban and rural counties, with rural patients facing a cost increase of 32.7% and 80.88% for ground and air transportation, respectively. Conclusions Physical proximity to burn care may appear to differ only modestly across age and region. However, the seemingly marginal increase in distance significantly impacts the cost of patient transport. The present study highlights both physical and economic barriers to burn care access faced by rural and pediatric patients. Increasing ABA burn center certification in targeted areas across the US may decrease the disparities in access to burn care faced by these groups. Applicability of Research to Practice Identify areas that may benefit from expansion of certified burn-care access and additional provider education.

Finding the Time-Period-Based Most Frequent Path from Trajectory–Topology

The Time-Period-Based Most Frequent Path (TPMFP) problem has been a hot topic in traffic studies for many years. The TPMFP problem involves finding the most frequent path between two locations by observing the travelling behaviors of drivers in a specific time period. However, the previous researchers over-simplify the road network, which results in the ignorance of transfer costs at intersections. To address this problem more elegantly, we built up an urban topology model consisting of Intersection Vertices and Connection Vertices. Specifically, we split the Intersection Vertices to eliminate the influence of transfer cost on finding TPMFP and generate Trajectory–Topology from GPS records data. In addition, we further leveraged the Footmark Graph method to find the TPMFP. Finally, we conducted extensive experiments using a real-world dataset containing over eight million GPS records. Compared to the current state-of-the-art method, our proposed approach can find more reasonable MFP in approximately 10% of cases during off-peak hours and 40% of cases during peak hours.

Optimal operating method of gate and pump switching in water transfer project

Abstract The Yellow River diversion project consists of three gates, two pumping stations, and one plain reservoir, with a total river length of 17.46 km in the Panzhuang Yellow River irrigation area, which provides the primary water source for the Dezhou central city, Shandong Province, China. The project is subject to the constraints of the Yellow River diversion sluice diverting water time, reservoir diverting water time, and combinations of pumping stations with self-flowing gates. The opening and closing forms of the gates and pumps are complicated and irregular, and the switching of the gates and pumps mainly depends on the experience of the staff, which makes the water transfer cost high and the water transfer time long. Based on engineering compositions in the study area, an optimal mathematical model is constructed by the dynamic programming method. By combining the flow and water level, the objectives of the minimum operation cost, the shortest water transfer time and the combination of the two are established. A new optimization scheme of the switch between gates and pumps combined with water level and flow is proposed, which reduces the operation cost by 20% and the water transfer time by 8%, providing an efficient operation mode.

D98. Access to Certified Burn Centers in The United States: The Geospatial and Transport Cost of Transfer

PURPOSE: Although ABA-verified burn centers are critical in minimizing burn-associated morbidity and mortality, disparities in burn care access remain – particularly for rural and pediatric patients. The present study quantifies inequitable burn care access as a function of physical proximity and assesses its impact on burn-associated transport costs. METHODS: County-level distances (n=3,106) to the nearest ABA-verified adult (n=59) or pediatric (n=43) burn center were determined and mapped. Average per mile transport cost for each population (urban vs. rural) was estimated from CMS ambulance fee schedules. Total transport cost was determined based on county-level distance calculations, and cost burden was compared between cohorts. RESULTS: Pediatric patients reside 30.57 miles (p < 0.001) further than adults from the nearest center, accounting for a 10.5% - 15.9% transport cost increase. Transport costs increased dramatically between urban and rural counties, with rural patients facing a cost increase of 32.7% and 80.88% for ground and air transportation, respectively. CONCLUSION: Physical proximity to burn care may appear to differ only modestly across age and region. However, the seemingly marginal increase in distance significantly impacts the cost of patient transport. The present study highlights both physical and economic barriers to access faced by rural and pediatric burn patients. Increasing ABA burn center certification in targeted areas across the US may decrease the disparities in access to burn care faced by these groups.

Double Taxation of Commission Fee of International Technology Trade and Corresponding Strategies

With the progress of the times, the increasing degree of economic globalization and the rapid development of the international trade industry, international technology trade has become one of the main forms of international trade. International technology trade is of great significance to the transformation and upgrading of a country's industry and the growth of the national economy, and some problems have arisen while countries pursue technology to trade for the purpose of achieving mutual benefit and win-win situations. The article first explains the problems related to international technology trade and commission fees and then analyzes the current taxation status of international technology trade commission fees, mainly studying some problems of the taxation systems of countries around the world and the repeated collection patterns of developed countries for technology trade commission fees. It also points out a series of problems caused by the double taxation of technology trade commission fees, such as: affecting the normal trade between technology suppliers and recipients, causing the high cost of technology transfer, and making the international technology trade market disorderly. Finally, the solution to the problem of double taxation is given, and at the same time, corresponding countermeasures are proposed for improving the development of international technology trade in China.

Cluster-Based Joins for Federated SPARQL Queries

Federated RDF systems allow users to retrieve data from multiple independent sources without needing to have all the data in the same triple store. The performance of these systems can be poor for large and geographically distributed RDF data where network transfer costs are high. This article introduces CBTP-OL and CBTP-Nhop, two novel join algorithms that take advantage of network topology to decrease the cost of processing Basic Graph Pattern (BGP) SPARQL queries in a geographically distributed environment. Federation members are grouped in clusters, based on the network communication cost between the members, and the bulk of the join processing is pushed to the clusters. Our CBTP-OL and CBTL-Nhop algorithms use an <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">overlap list</i> and, respectively, an <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N-hop overlap list</i> , to efficiently compute join results from triples in different clusters. We implement our algorithms in the OpenRDF Sesame federated framework and use Apache Rya triple store instances as federation members. Experimental evaluation results show the advantages of our approach over existing techniques.

A Smart Decision Support Framework for Sustainable and Resilient Supplier Selection and Order Allocation in the Pharmaceutical Industry

Supplier selection and order allocation (SS-OA) are two of the most important strategic decisions for supply chain network design and operation. If sustainability and resilience criteria are taken into consideration together and a holistic sustainable and resilient SS-OA is carried out, it may enable the supply chain network to perform better when subjected to disruption scenarios. In this research paper, a novel comprehensive multi-phase, multi-period sustainable, and resilient SS-OA decision support framework has been proposed. This framework integrates fuzzy multi-criteria decision-making (MCDM) techniques with a fuzzy multi-objective mixed integer nonlinear programming (MOMINLP) mathematical model to optimize triple bottom line (TBL) sustainability and resilience criteria simultaneously for a multi-modal, multi-echelon supply chain network. The proposed framework has been implemented using real-time data collected from the pharmaceutical industry. The results show that among the TBL sustainability criteria, product price, past business, innovative capability, and information disclosure rank as the most significant sub-criteria for the DMs in the pharmaceutical industry, while robustness and flexibility are considered the most valued attributes for potential suppliers as far as the resilience criterion is concerned. An assessment of the results has revealed that transfer cost and custom clearance cost together comprise more than two-thirds of the overall cost of the supply chain network. It has also been noted that inland transportation of goods is dominated by rail as the most preferred mode of transport. Transportation by rail is particularly preferred by suppliers located in geographically contiguous countries.

Long-term capture of asteroids to the Sun-Earth L1/L2 using a lunar flyby and station-keeping maneuvers

Long-term capture of near-Earth asteroids to Sun-Earth L1/L2 libration point orbits using a lunar flyby and station-keeping maneuvers is investigated in this paper. The model of the circular restricted three-body problem (CR3BP) provides reference L1/L2 libration point orbits and stable manifolds to capture asteroids. A station-keeping method using target points is employed to maintain the final periodic orbits under the Moon’s perturbation. Then the stable manifold with the Moon’s perturbation is applied to achieve transfers for capturing candidate asteroids. After candidate asteroids are selected using the non-planar Hohmann transfer, optimizations of capturing asteroids are carried out by minimizing the sum of transfer costs and station-keeping maneuvers. Simulation results show that the lunar flyby can reduce the fuel consumption of capturing asteroids, even when the station-keeping maneuvers are taken into account.

Do psychiatric decision units make a difference? An analysis from a liaison psychiatry service in Greater London

IntroductionCAU (Clinical assessment unit) was developed at Croydon University Hospital (CUH) in conjunction with the South London and Maudsley (SLaM) mental health trust in response to the Covid19 pandemic to relieve pressure on services in A&amp;E (Accident and Emergency) and to support the already existing need to provide a more clinically appropriate space for patients presenting to A&amp;E with acute mental health concerns. The clinical model for the unit was developed with input from service users, SLaM, CUH and CCG (Clinical Commissioning Group); and was fully established in October 2021 within a month of conception. CAU is located within close proximity to A&amp;E which is convenient and incurs no transfer cost. Similar units have been developed internationally to address similar concerns (Goldsmith et al 2021, Wiley online library 2021 12849)ObjectivesTo evaluate the financial and clinical impact of the clinical assessment unit after one year in operationMethodsThis is a cross sectional study, data was collected from EPJs Reports (SLaM’s patient data reporting system), excel spread sheet collecting data based on referrals to the service over the one-year period from 8/9/2021 – 5/10/2022. This included a trial period from September 2021 – October 2021 where the service was running at half capacity.CAU is open to capacitous adults aged 18-65 presenting to A&amp;E. Exclusion criteria: individuals conveyed by the police, those under MHA, on-going physical health concerns, diagnosis of learning disability with no primary mental health need, diagnosis of dementia and homelessnessResults3,322 patients were referred to the Liaison service and of those 402 or 12% of those patients to A&amp;E were transferred to CAUThe 402 service users over the period of one year spent a total of 11, 351 hours in CAUThe main diagnosis of patient admitted to CAU fell into the diagnostic categories F30-39 43.5 %, and F60-69 27%.The majority of patients were admitted awaiting informal admission and 1/3 of plans for discharge destination were made on CAU. 10 % of patient were discharged on a least restrictive outcome, which has cost benefits for acute mental health trust. This one-year period showed cost saving of £462,112 for 24 hours stay in ED with support staff.Image:Image 2:ConclusionsCAU offers the opportunity to engage and re-assess service users to allow consideration of least restrictive options for on-going care. CAU has financial benefits in way of saving cost on time spent in ED awaiting review and cost for agency staff to provide 1:1 support.The success of CAU has led to collaboration in the developpment of other acute services in London including that of the Recovery Space which offers community support for service users following discharge from hospital after an acute mental health crisis. Service user feedback has been positive and reflects the importance of the service and its suitability for its target group.Disclosure of InterestNone Declared

Assessing non-hazardous solid waste business characteristics of Western Canadian provinces

This study addresses a gap that exists in studying waste business characteristics and the performance of a waste management system (WMS). Temporal and spatial analyses of the WMS in four Western Canadian provinces are systematically assessed over a 16-year period. The average waste business size in Canada ranged from 13.4 to 22.1 employees per business. Jurisdictions with lower disposal rates generally have larger waste companies. An average employee handled 1098 to 1426 t of waste annually. The diversion rates tended to be higher when less waste is managed per employee, suggesting total employee count may be important to improve WMS sustainability in Canada. Waste transfer costs are substantial during the study period, totaled $1276 million annually, or about 40.7% of the total government waste spending. BC only spent an average of 2.5% of the budget on operation of recycling facilities, but has the highest waste diversion rate. Expenditure distribution alone is unable to explain BC's superior waste diversion performance. Capital expenditures have been increasing from $15.7/t to $26.2/t. In this study, a business with more full-time employees correlates well with higher operating revenues. Part time workers were more predominant in SK, and may be responsible for the subpar diversion rate and operating revenue. More research is needed to determine waste business characteristics given increasing interest in circular economy and WMS efficiency.

How Operation Scale Improve the Production Technical Efficiency of Grape Growers? An Empirical Evidence of Novel Panel Methods for China’s Survey Data

The agricultural production technical efficiency is the key to improving the sustainability of an agricultural section. Taking survey data of 314 grape growers in Fujian Province, China, this paper presents the impact of operation scale on their technical efficiency under a rain-shelter cultivation mode. Through the threshold effect model, we find an inverted U-shape trend between operation scale and the growers’ technical efficiency, and the threshold is 18 mu. We also further introduce the employee input to analyze the mediating effect. The test results show that with the expansion of operation scale, the efficiency loss caused by greater employee input gradually suppresses the positive impact of economies of scale on technical efficiency—that is, there is a significant suppressing effect. Hence, this paper argues that, in the process of promoting agricultural green production, the government should guide farmers to a ‘natural flow’ to moderate scale management by reducing transaction costs, such as land transfer costs, and should not blindly encourage growers to expand their scale. At the same time, research and development of labor-saving technologies should be enhanced to reduce labor demand and cost in the production process.

Wetland Park Planning and Management Based on the Valuation of Ecosystem Services: A Case Study of the Tieling Lotus Lake National Wetland Park (LLNWP), China.

The valuation of wetland ecosystem services and the construction of environmental landscapes are generally recognized as contributing to the sustainable development of human wellbeing. The valuation of ecosystem services plays an important role in planning for the recovery of degraded wetlands and in urban wetland park management; however, the role of the valuation of ecosystem services is always ignored. To bring more intuitive awareness to the importance of the ecological functions of wetlands and to rationally plan wetland parks, the Lotus Lake National Wetland Park (LLNWP), an urban wetland park in Northeast China, was selected as the study area. We referred to the millennium ecosystem assessment (MA) method and calculated the valuation of this park using the market value, benefit transfer, shadow engineering, carbon tax, and travel cost. ArcGIS was used for remote sensing interpretation. The research results were as follows. LLNWP was classified under seven types of land-use. The functions of the ecosystem services included provisioning, regulating, supporting, and cultural services, and their total value in LLNWP was 11.68×108 CNY. Regarding the per-unit area value of the ecological service functions of different land types, it was found that forest swamp > herbaceous swamp > artificial wetland > permanent river > floodplain wetland. Combined with the characteristics of the functions of its ecosystem's services, LLNWP was divided into ecological and socio-cultural functions. Then, according to the main service functions of the different land types, we propose that the space in LLNWP can be reused, and proposal planning and management suggestions can be made with the aim of preserving the basic functions.

Interrelation of external costs of road transport and financial and logistics indicators of the EU countries

Internal costs refer to the direct monetised costs for a person or organisation undertaking an activity. They are costs that a business bases its price on. External costs are not included in price and consist on the cost of disposing of the product at the end of its useful life, the environmental degradation caused by the emissions, pollutants and wastes from production, the cost of health problems caused by harmful materials and ingredients and social costs associated with increasing unemployment due to increasing automation. In such way, external costs or externalities refer to the economic concept of uncompensated social or environmental effects. The countries of the European Union have long been engaged in converting indirect losses from transport into financial units. The latest existing 2019 Handbook on External Costs of Transport considers not only marginal external costs, but also total and average external transport costs across the EU, Switzerland and Norway. Our goals in this research are: - identification of factors that have a significant impact on the total external costs of transport at the country level; - determining of the degree of such influence; - determination of interdependence (multicollinearity) of factors of influence; - determination of the direction of influence (direct or inverse dependence); - making conclusions regarding the possibility of determining the external costs of the country based on the selected factors. On the basis of correlation-regression analysis, factors were determined that have a clear relationship with the external costs of road transport - the country's GDP, the amount of transport work produced by the country in tkm and the amount invested in road infrastructure. Values of Multiple R and R-square of the regression model (very next to 1) allow us to make a conclusion that these three factors are sufficient to explain the variable (external costs) at a reliability level of 95%. All factors are statistically significant and should be involved in the model. Another important result is the sign with which the coefficients are present in the model: with an increase in % of GDP and transport work, external costs will increase, however, with an increase in investment in road infrastructure, the value of external costs of transport will decrease. Finally, the regression equation of the country's external transport costs as a function of the three aforementioned indicators was obtained. A very good representation of the statistical data with the resulting regression model can be observed. It can be assumed that this model can be used to predict external costs of road transport and transfer the methodology to countries outside the EU, for example, Ukraine..

A multi-platform active debris removal mission planning method based on DCOP with chain topology

In this work, a distributed multi-platform active debris removal mission planning task is formulated as a distributed constrained optimization problem (DCOP), and a novel Synchronous Incomplete Searching Algorithm under Chain Topology (SISACT) is proposed. We envision a distributive cooperative mission planning scenario where multiple debris removal platforms generate individual mission sub-plans on how to remove a subset of assigned debris subject to constraints on mission duration and orbit transfer cost. The overall goal is to maximize the aggregate reward for debris removal while avoiding conflicts among sub-plans. To resolve the potential conflicts, multiple platforms must communicate each other intensively. The proposed SISACT algorithm can reduce the inter-platform communication burdens by inducing a fully connected constraint graph into a chain graph with domain assignment. SISACT is designed to focus on global collaboration among the platforms for mission plan partitioning while leveraging existing single platform mission planning algorithms to provide details of the sub-plans. Simulation with a realistic active debris removal scenario has been carried out. It is shown that the proposed SISACT algorithm can optimize the overall reward of the mission while satisfying all the constraints. This validates the effectiveness of SISACT. • A new multi-platform ADR mission planning is proposed based on DCOP. • A new DCOP model with fully-connected all-hard constraint graph is presented. • Proposed method can satisfy all constraints without changing solution frequently. • Tests on Iridium33 debris set with 4 platforms verify its efficiency.

Performance Evaluation of Load-Balancing Algorithms with Different Service Broker Policies for Cloud Computing

Cloud computing has seen a major boom during the past few years. Many people have switched to cloud computing because traditional systems require complex resource distribution and cloud solutions are less expensive. Load balancing (LB) is one of the essential challenges in cloud computing used to balance the workload of cloud services. This research paper presents a performance evaluation of the existing load-balancing algorithms which are particle swarm optimization (PSO), round robin (RR), equally spread current execution (ESCE), and throttled load balancing. This study offers a detailed performance evaluation of various load-balancing algorithms by employing a cloud analyst platform. Efficiency concerning various service broker policy configurations for load-balancing algorithms’ virtual machine load balance was also calculated using metrics such as optimized response time (ORT), data center processing time (DCPT), virtual machine costs, data transfer costs, and total cost for different workloads and user bases. Many of the past papers that were mentioned in the literature worked on round robin and equally spread current execution, and throttled load-balancing algorithms were based on efficiency and response time in virtual machines without recognizing the relation between the task and the virtual machines, and the practical significance of the application. A comparison of specific load-balancing algorithms has been investigated. Different service broker policy (SBP) tests have been conducted to illustrate the load-balancing algorithm capabilities.

Redox flow batteries: Pushing the cell voltage limits for sustainable energy storage

Electrode kinetics of zinc at the anode in an alkaline medium holds a great prospective for energy storage systems due to low redox potential of Zn(OH)42−/Zn redox couple (−1.26 V vs SHE), high capacity, good stability, involves two electron transfer, high reversibility, eco-friendly and low cost. Undoubtedly, enlarging the voltage of the flow cell is the ultimate goal for enhancing the energy density of the system. Here, we demonstrate the increase in the operating cell voltage of Zinc-Polyiodide (ZnI2) flow battery by meticulously switching the anolyte from an acidic/neutral to an alkaline medium. Very interestingly, swapping the electrolyte from neutral to an alkaline medium shows drastic increase in the voltage window from 1.37 V (neutral) to 1.89 V (alkaline) for ZnI2 redox flow battery (RFB). Furthermore, the developed advanced hybrid ZnI2 electrolyte highly improved the rate capability of the RFB, even at 100 mA cm−2, exhibiting a round trip efficiency of 98 % and the corresponding energy efficiency is about 46 %. On the other hand, the ZnI2 flow cell with the given electrolyte condition delivered a maximum coulombic (96 %), voltage (83 %) and energy efficiency (77 %) at 20 mA cm−2. Moreover, the alkaline based ZnI2 RFB performed stably over 90 cycles at 30 mA cm−2. At the same time, 50 cycles at 50 mA cm−2 have also been tested. This reported cycle life is ever maximum cyclability achieved for alkaline based metal halides RFBs. Thus, a creative protocol of switching the anolyte pH from acid/neutral to alkaline medium offers an efficient route to attain high cell voltage and high energy density device when paired with high positive redox potential species.

Research on Dynamic Scheduling Model of Plant Protection UAV Based on Levy Simulated Annealing Algorithm

The plant protection unmanned aerial vehicle (UAV) scheduling model is of great significance to improve the operation income of UAV plant protection teams and ensure the quality of the operation. The simulated annealing algorithm (SA) is often used in the optimization solution of scheduling models, but the SA algorithm has the disadvantages of easily falling into local optimum and slow convergence speed. In addition, the current research on the UAV scheduling model for plant protection is mainly oriented to static scenarios. In the actual operation process, the UAV plant protection team often faces unexpected situations, such as new orders and changes in transfer path costs. The static model cannot adapt to such emergencies. In order to solve the above problems, this paper proposes to use the Levi distribution method to improve the simulated annealing algorithm, and it proposes a dynamic scheduling model driven by unexpected events, such as new orders and transfer path changes. Order sorting takes into account such factors as the UAV plant protection team’s operating income, order time window, and job urgency, and prioritizes job orders. In the aspect of order allocation and solution, this paper proposes a Levy annealing algorithm (Levy-SA) to solve the scheduling strategy of plant protection UAVs in order to solve the problem that the traditional SA is easy to fall into local optimum and the convergence speed is slow. This paper takes the plant protection operation scenario of “one spray and three defenses” for wheat in Nanjing City, Jiangsu Province, as an example, to test the plant protection UAV scheduling model under the dynamic conditions of new orders and changes in transfer costs. The results show that the plant protection UAV dynamic scheduling model proposed in this paper can meet the needs of plant protection UAV scheduling operations in static and dynamic scenarios. Compared with SA and greedy best first search algorithm (GBFS), the proposed Levy-SA has better performance in static and dynamic programming scenarios. It has more advantages in terms of man-machine adjustment distance and total operation time. This research can provide a scientific basis for the dynamic scheduling and decision analysis of plant protection UAVs, and provide a reference for the development of an agricultural machinery intelligent scheduling system.