Reference Scheme Research Articles

Monitoring Rock Desert Formation Caused by Ice–Snow Melting in the Qinghai-Tibet Plateau Using an Optimized Remote Sensing Technique: A Case Study of Yushu Prefecture

The rapid and effective identification of the spatial distribution of rock deserts in ice–snow melting areas can provide useful information for the prevention of natural disasters. In this study, Landsat TM/OLI were used to track the evolution of snow lines in the snow melting areas of Yushu Tibetan Autonomous Prefecture of the Qinghai-Tibet Plateau (hereinafter referred to as Yushu Prefecture) during the last 30 years. A total of seven extraction schemes were used to classify the rock desert in the ice–snow melting area by remote sensing. Our results show that: (1) The accuracy of the multi-index factor compound analysis and object-oriented classification compound method was the highest. This method can provide a rapid and efficient reference scheme for rock desert extraction in the plateau ice–snow melting area. (2) The combinations of two single methods with higher accuracy can further improve the total accuracy. If a single method with lower accuracy is involved in the multi-method fusion, the accuracy of the method with lower accuracy can be improved. (3) In the past 30 years, there has been a large amount of ice–snow melting in Yushu Prefecture. The ice–snow melting area accounts for 53.78% (1451.04 km2) of the ice–snow area, and the bare rock and bare stone in the rock desert account for 63.77% of the total area of the ice–snow melting area. Bare sand and bare soil area account for 30.27% of the total area of ice and snow melting area.

An Open Integrated Rock Spectral Library (RockSL) for a Global Sharing and Matching Service

Minerals and rocks are important natural resources that are formed over a long period of geological history. Spectroscopy is the basis of the identification and characterisation of rocks and minerals via proximal sensing in the field or remote sensing systems with multi- and hyper-spectral capabilities. However, spectral data is scattered around different institutions worldwide and stored in various formats, resulting in poor data usability and an unnecessary waste of time and information. To improve the usability and performance of mineral spectral data, we developed an integrated open mineral spectral library (Rock Spectral Library, RockSL). Shared spectral data and related information were collected worldwide, and data cleaning measures were performed to retain the qualified spectra and merge all qualified data (raster, vector, and text formats) in a common framework to establish a reliable and comprehensive digital data set for an easy sharing and matching service. A software system was developed for the RockSL to manage, analyse, and apply the spectral data of minerals and rocks. We demonstrate how the information encoded in RockSL can determine the species of unknown rocks and describe specific mineral compositions. We also provide a reference scheme of the work chain and present key technologies for building different spectral libraries in diverse fields using RockSL. New contributions to RockSL are encouraged for this work to be improved to provide a better service and extend the applications of geo-sciences. This article introduces the characteristics of RockSL and demonstrates an experimental application.

Investigation of the compact torus plasma motion in the KTX-CTI device based on circuit analyses

Compact torus (CT) injection is one of the most promising methods for the central fuelling of next-generation reactor-grade fusion devices due to its high density, high velocity, and self-contained magnetised structure. A newly compact torus injector (CTI) device in Keda Torus eXperiment (KTX), named KTX-CTI, was successfully developed and tested at the University of Science and Technology in China. In this study, first, we briefly introduce the basic principles and structure of KTX-CTI, and then, present an accurate circuit model that relies on nonlinear regression analysis (NRA) for studying the current waveform of the formation region. The current waveform, displacement, and velocity of CT plasma in the acceleration region are calculated using this NRA-based one-dimensional point model. The model results were in good agreement with the experiments. The next-step upgrading reference scheme of the KTX-CTI device is preliminarily investigated using this NRA-based point model. This research can provide insights for the development of experiments and future upgrades of the device.

Investigation of Unsteady Pressure Pulsation in New Type Dishwasher Pump with Special Double Tongue Volute

Through numerical simulations, this work analyzes the unsteady pressure pulsation characteristics in new type of dishwasher pump with double tongue volute and single tongue volute, under volute static and rotation conditions. Likewise, the performance tests were also carried out to verify the numerical results. Multiple monitoring points were set at the various positions of new type dishwasher pump to collect the pressure pulsation signals, and the relevant frequency signals were obtained via Fast Fourier Transform, to analyze the influence of volute tongue and its passive speed on the pump performance. The results reveal that when the double tongue volute is stationary, the pressure pulsation amplitudes increase from the impeller inlet to the impeller outlet. Under the influence of shedding vortex, the pressure pulsation in the lateral region of tongue becomes disorganized, and the main frequency of pressure pulsation changes from blade frequency to shaft frequency. In addition, compared with the static volute, double tongue volute can effectively guide the water flow out of the tongue during the rotation process, thus ensuring good periodicity for pressure pulsation in the tongue region. Accordingly, a volute reference scheme with passive rotation speed is proposed in this study, which can effectively improve the pressure pulsation at tongue position, and provides a new idea for rotor-stator interference to guide the innovation of dishwasher.

Multi-Agent Deep Q-Networks for Efficient Edge Federated Learning Communications in Software-Defined IoT

Federated learning (FL) activates distributed on-device computation techniques to model a better algorithm performance with the interaction of local model updates and global model distributions in aggregation averaging processes. However, in large-scale heterogeneous Internet of Things (IoT) cellular networks, massive multi-dimensional model update iterations and resource-constrained computation are challenging aspects to be tackled significantly. This paper introduces the system model of converging software-defined networking (SDN) and network functions virtualization (NFV) to enable device/resource abstractions and provide NFV-enabled edge FL (eFL) aggregation servers for advancing automation and controllability. Multi-agent deep Q-networks (MADQNs) target to enforce a self-learning softwarization, optimize resource allocation policies, and advocate computation offloading decisions. With gathered network conditions and resource states, the proposed agent aims to explore various actions for estimating expected long-term rewards in a particular state observation. In exploration phase, optimal actions for joint resource allocation and offloading decisions in different possible states are obtained by maximum Q-value selections. Action-based virtual network functions (VNF) forwarding graph (VNFFG) is orchestrated to map VNFs towards eFL aggregation server with sufficient communication and computation resources in NFV infrastructure (NFVI). The proposed scheme indicates deficient allocation actions, modifies the VNF backup instances, and reallocates the virtual resource for exploitation phase. Deep neural network (DNN) is used as a value function approximator, and epsilon-greedy algorithm balances exploration and exploitation. The scheme primarily considers the criticalities of FL model services and congestion states to optimize long-term policy. Simulation results presented the outperformance of the proposed scheme over reference schemes in terms of Quality of Service (QoS) performance metrics, including packet drop ratio, packet drop counts, packet delivery ratio, delay, and throughput.

A Non-Cooperative Game-Based Distributed Beam Scheduling Framework for 5G Millimeter-Wave Cellular Networks

This paper studies the problem of distributed beam scheduling for 5G millimeter-Wave (mm-Wave) cellular networks where base stations (BSs) belonging to different operators share the same spectrum without centralized coordination among them. Our goal is to design efficient distributed scheduling algorithms to maximize the network utility, which is a function of the achieved throughput by the user equipment (UEs), subject to the average and instantaneous power consumption constraints of the BSs. We propose a Media Access Control (MAC) and a power allocation/adaptation mechanism utilizing the Lyapunov stochastic optimization framework and non-cooperative games. In particular, we first decompose the original utility maximization problem into two sub-optimization problems for each time frame, which are a convex optimization problem and a non-convex optimization problem, respectively. By formulating the distributed scheduling problem as a non-cooperative game where each BS is a player attempting to optimize its own utility, we provide a distributed solution to the non-convex sub-optimization problem via finding the Nash Equilibrium (NE) of the game whose weights are determined optimally by the Lyapunov optimization framework. Finally, we conduct simulation under various network settings to show the effectiveness of the proposed game-based beam scheduling algorithm in comparison to that of several reference schemes.

A three-range approach enhances the prognostic utility of CSF biomarkers in Alzheimer's disease.

IntroductionAlzheimer's disease consensus recommends biomarker dichotomization, a practice with well‐described clinical strengths and methodological limitations. Although neuroimaging studies have explored alternative biomarker interpretation strategies, a formally defined three‐range approach and its prognostic impact remains under‐explored for cerebrospinal fluid (CSF) biomarkers .MethodsWith two‐graph receiver‐operating characteristics based on different reference schemes, we derived three‐range cut‐points for CSF Elecsys biomarkers. According to baseline CSF status, we assessed the prognostic utility of this in predicting risk of clinical progression and longitudinal trajectories of cognitive decline and amyloid–beta (Aβ) positron emission tomography (PET) accumulation in non‐demented individuals (Alzheimer's Disease Neuroimaging Initiative [ADNI]; n = 1246). In all analyses, we compared herein‐derived three‐range CSF cut‐points to previously described binary ones.ResultsIn our main longitudinal analyses, we highlight CSF p‐tau181/Aβ1‐42 three‐range cut‐points derived based on the cognitively normal Aβ‐PET negative versus dementia Aβ‐PET positive reference scheme for best depicting a prognostically relevant biomarker abnormality range. Longitudinally, our approach revealed a divergent intermediate cognitive trajectory undetected by dichotomization and a clearly abnormal group at higher risk for cognitive decline, with power analyses suggesting the latter group as potential trial enrichment candidates. Furthermore, we demonstrate that individuals with intermediate‐range CSF status have similar rates of Aβ deposition to those in the clearly abnormal group.DiscussionThe proposed approach can refine clinico‐biological prognostic assessment and potentially enhance trial recruitment, as it captures faster biomarker‐related cognitive decline in comparison to binary cut‐points. Although this approach has implications for trial recruitment and observational studies, further discussion is needed regarding clinical practice applications.

История мистического анархизма (проблема периодизации)

The article explores the problem of periodization of mystical anarchism. The author sug­gests that most of the disagreements between modern researchers of the creative heritage of the 20th century anarchist-mystics is related to the absence of any historical and philosophi­cal reference point or scheme. The article suggests viewing the whole history of the devel­opment of this phenomenon as an evolution of communities of thinkers who were equally close to anarchist and mystical ideas. Three periods are distinguished: 1) 1905–1907; 2) 1917–1930; 3) 1924–1939. In each period, the author analyzes the ideological principles of a particular community of mystical anarchists, their ability to influence the cultural land­scape of their era, and their conceptual relationship with their predecessors/successors. The terms “mystical anarchist” and “anarcho-mystic” are used synonymously in this text. Particular attention is paid to the emigrant period in the history of mystical anarchists (the study is based on the analysis of periodicals of the Russian diaspora in the United States).

Interference and QoS-Aware Resource Allocation Considering DAS Behavior for C-RAN Power Minimization

This work aims to minimize the power consumption of cloud virtualization components by addressing the important challenge of designing allocation schemes that cater for both radio and computational resources in a virtualized cloud-based radio environment. Unlike previous efforts, we consider the realistic behavior of radio resource heads (RRHs) associated with one baseband unit (BBU), acting as a DAS. We first formulate the admission control (AC) and the RRH–BBU mapping problem, subject to constraints on user throughput requirements, computational capacity in the BBU pool, and according to the assumption of DAS behavior. As the optimal solution is practically intractable for large-scale dynamic networks, we propose a two-level resource allocation framework, based on two developed algorithms: a first one for AC at the radio level and a second one for RRH–BBU mapping at the computational level. The two algorithms are designed to allow both the levels to consider each other’s constraints and particularities. Results obtained from an extensive simulation-based performance evaluation show the high performance of our proposal in terms of radio-related metrics, number of accepted users, power saving, and energy and spectrum efficiency, compared with three baseline reference schemes.

Optimizing the Light Source Layout of the Indoor Visible Light Communication System

Aiming at the problem of uneven illuminance distribution in traditional indoor optical communication systems, this paper proposes a square + elliptical layout, using simulated annealing particle swarm algorithm to optimize the spacing of LED light sources, and optimize the uniformity of system illuminance and signal-to-noise ratio. The simulation results show that the optimized square + elliptical layout illumination ranges from 359.25 lx to 451.05 lx, and the mean square error reaches 12.66 lx. Signal noise ratio is between 18.54 dB and 20.75 dB, and the mean square error is 0.39 dB. Compared with the traditional square and elliptical layout, the illumination performance and communication performance are improved clearly, which provides a new reference scheme for indoor light source layout.

Marketing in Social Media

With the development of science and technology, people search and browse a large amount of information more autonomously through social media platforms. Marketers are taking various measures to ensure that brand messages reach consumer audiences in response to this change. This article reviews previous research conducted by researchers focusing on social media platforms and summarizes common research theories and influencing factors. Finally, the authors put forward questions that can be studied in the future, providing a reference scheme for scholars and practitioners.

Design and Implementation of VR Digital Displaysystem for Tujia Mogus Dance

Virtual Reality (VR) is a research hotspot in the field of computer graphics in recent years, which is widely used. Tujia Maogusi dance is a national intangible cultural heritage of our country and the crystallization of Tujia civilization. This paper takes Tujia Maogusi dance as the research object, combining with virtual reality technology, proposes the design path of VR digital display system based on Tujia Maogusi dance, and applies this path to show the VR digital cultural performance of Tujia Maogusi dance. The research shows that the VR digital display system of Tujia Maogusi dance has certain practicality, interactivity and invasiveness, which provides a reference scheme for the live display of intangible cultural heritage in China.

Агролесомелиоративная оценка защитных лесных насаждений с применением дистанционных данных и геоинформационных технологий

At present, it is not economically feasible to use ground methods for inventorying forest plantations, since the scale and relevance of this process have increased significantly, which requires promptness in solving problems of recognizing protective forest belts from aero and space images and deciphering them. From this it follows that in order to draw up recommendations on forest reclamation measures aimed at increasing the durability of forest plantations, it is necessary to use the available remote sensing data and modern GIS technologies when examining protective forest plantations. The use of modern technologies will allow for a more qualitative assessment of the state of forest plantations in the Volgograd region. The use of the free desktop geographic information system QGIS in research demonstrates a number of possibilities, in particular, deciphering the current state and conducting digital inventory mapping of protective forest plantations based on GIS technologies and aerospace methods. Subsequently, the obtained data will be applied in the development of methods and principles that are scientifically substantiated and aimed at the rational use of resources and the regulation of anthropogenic impacts on the agroforest landscapes of the region. The study was carried out in the southern part of the Ilovlinsky District of the Volgograd region, located in the subzone of chestnut soils on the Kachalino test site. As a result of the study, the use of QGIS made it possible to decipher protective forest plantations in order to determine their spatial distribution, quantity, species and structural composition. On the laid out sites, the main reference schemes of rock mixing were compiled and key signs of protective forest belts were identified during interpretation. The mapping of the forest fund was carried out on the basis of data obtained in the course of visual and instrumental interpretation. The results obtained will become the basis for the development of a regional agroforestry reclamation geoinformation system necessary for updating existing forest maps, monitoring the state of forest plantations and planning various forest management activities aimed at the effective management of the agroforestry fund of the Volgograd region.

Сучасні засоби навчання на уроках природничого циклу в початковій школі

An important function of education is to teach primary school students the skills and abilities to apply knowledge in life situations, preparing them for the challenges that await outside of school. In connection with the strategy, teachers acquire the mastery of innovative forms, methods, techniques and teaching in primary school. There is no traditional urgency of this problem, at the present stage it is undeniable relevance and novelty. The article is devoted to the analysis, systematization and generalization of the problem of introduction of modern teaching aids in the lessons of the natural cycle in primary school from the point of view of practice. The focus is on the formation of research and development skills in primary school students in project activities; acquaintance with scientific articles during modeling Ability to analyze, specify and systematize information by compiling Logical Reference Schemes. The priority is given to the use of computers in modern lessons, software as an urgent and necessary requirement of the time. During the educational process, students learn to master knowledge, evaluate their own progress, put forward hypotheses, prove them, simplify, listen and hear the opinions of others. The creative, exploratory approach of primary school teachers to the choice of modern teaching aids should become an organic part of students’ learning. Methodical instructions, the algorithm of the conducted classes, types of activity are concretized by examples on which the author emphasizes practicality of the outlined means. The author provides recommendations for improving the educational process according to the current legal framework of primary school. The practical material is promising for its use by primary school teachers in the face of changes in education, provides a solid basis for the author’s search, gaining their own experience, evaluation of activities in the context of educational innovations.

Cooperation of large-scale wind farm and battery storage in frequency control: An optimal Fuzzy-logic based controller

Grid integration of renewables and battery energy storage systems and its consequent synchronous machines retirement may drive power systems into low-inertia conditions with high risk of frequency instability which is associated with lack of sufficient inertia and primary frequency response previously supplied by synchronous machines. Therefore, there is a need to figure out alternative solutions to compensate the lack of system frequency dynamic supports in future renewable-dominated power systems. In this context, this paper aims to highlight wind farm capabilities, particularly doubly-fed induction generator (DFIG) and permanent magnet synchronous generator (PMSG), in system primary frequency control, similar to conventional synchronous units, while also investigates the synergy between the wind unit cooperation with large-scale battery storages. First, a novel dynamic model is presented which takes into account large-scale wind farms, as well as utility-scale batteries, equipped with frequency-sensitive active power reference scheme so as to control the system frequency violations following contingencies. The proposed frequency control model also includes power-electronics interface model, its associated control loops, and a novel Fuzzy-logic based controller. The proposed Fuzzy-logic based controller along with a wash-out filter allows combined wind-battery system to estimate the system active power mismatch, emerged from a contingency/trip, to determine the consequent frequency variations, and therefore to deliver fast frequency response in a robust and reliable way to arrest the mentioned frequency distortions. The proposed Fuzzy-based controller is then designed via optimizing its model parameters, including the membership function parameters, thereby improving its efficiency in frequency control provision as well as active power control. The optimization process is performed via a widely used artificial bee colony (ABC) algorithm while a multi-objective function is considered. The proposed frequency control model is then evaluated in the 14-generation low-inertia Australian test system with 30% wind penetration. This work tries to provide a deep insight on how to utilize wind farms for frequency support and how to wind-battery frequency response may positively interact with nearby converter-based resources, i.e., photovoltaic units. The proposed Fuzzy-based coordination approach for large-scale wind-battery units can be a potential solution to deal with frequency stability problems in future power systems with low-inertia conditions including multiple nearby converter-based resources.

Game-Based Multitype Task Offloading Among Mobile-Edge-Computing-Enabled Base Stations

The widely used Internet of Things (IoT) mobile devices (MDs) require fast processing capability to handle a large volume of computing tasks. Mobile-edge computing (MEC) can augment the capability of IoT MDs through offloading their computing tasks to the MEC-enabled base station (MEC-BS) that covers them. Most of the existing research works only focus on the computation offloading problems for a single MEC-BS. However, the load of a MEC-BS will rise as the increase of the scale of the offloaded tasks, especially during rush hours, and further it will result in deterioration of system performance. In this article, we propose a game-based multitype task offloading scheme among MEC-BSs. The tasks offloaded from IoT MDs can be further offloaded among MEC-BSs to alleviate high-load MEC-BSs. Aiming at balancing the computing delays of the tasks on each MEC-BS, a noncooperative game is formulated to model the computation offloading for the tasks with different types, indicated by computation amount, data size, and delay tolerance. The existence and convergence of the Nash equilibrium of the game are first proved using the variational inequality and regularization techniques. Then, we design a distributed iterative algorithm to efficiently solve the game problem. Simulation results show the fast convergence of our algorithm. The reduction of total computing delay optimized by our scheme can reach 45%–50% on average in multiple scenarios, and the superiority of our scheme is also demonstrated in comparisons with reference schemes.

Evaluation and Analysis of Poverty-Stricken Counties under the Framework of the UN Sustainable Development Goals: A Case Study of Hunan Province, China

Eliminating all forms of poverty in the world is the first United Nations Sustainable Development Goal (SDG). Developing a scientific and feasible method for monitoring and evaluating local poverty is important for the implementation of the SDG agenda. Based on the 2030 United Nations SDGs, in this paper, a quantitative evaluation model is built and applied to all poverty-stricken counties in Hunan Province. First, based on the SDG global index framework and local index system of China, a local SDG index system for poverty-related goals is designed, and the weights of the indexes are derived using an entropy method. The scores obtained for counties and districts with data available are then taken as the true value for the poverty assessment. Second, using National Polar-orbiting Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) nighttime light images and land use and digital elevation model data, six factors, including socioeconomic, land cover, terrain and traffic factors, are extracted. Third, we then construct multiple linear evaluation models of poverty targets defined by the SDGs and machine learning evaluation models, including regression trees, support vector machines, Gaussian process regressions and ensemble trees. Last, combined with statistical data of poverty-stricken counties in Hunan Province, model validation and accuracy evaluation are carried out. The results show that the R2 and relative error of the localized, multiple linear evaluation model, including all six factors, are 0.76 and 19.12%, respectively. The poverty-stricken counties in Hunan Province were spatially aggregated and distributed mainly in the southeastern and northwestern regions. The proposed method for regional poverty assessment based on multisource geographic data provides an effective poverty monitoring reference scheme for the implementation of the poverty eradication goals in the 2030 agenda.

Improving the Spatial Resolution of GRACE-Derived Terrestrial Water Storage Changes in Small Areas Using the Machine Learning Spatial Downscaling Method

Gravity Recovery and Climate Experiment (GRACE) satellites can effectively monitor terrestrial water storage (TWS) changes in large-scale areas. However, due to the coarse resolution of GRACE products, there is still a large number of deficiencies that need to be considered when investigating TWS changes in small-scale areas. Hence, it is necessary to downscale the GRACE products with a coarse resolution. First, in order to solve this problem, the present study employs modeling windows of different sizes (Window Size, WS) combined with multiple machine learning algorithms to develop a new machine learning spatial downscaling method (MLSDM) in the spatial dimension. Second, The MLSDM is used to improve the spatial resolution of GRACE observations from 0.5° to 0.25°, which is applied to Guantao County. The present study has verified the downscaling accuracy of the model developed through the combination of WS3, WS5, WS7, and WS9 and jointed with Random Forest (RF), Extra Tree Regressor (ETR), Adaptive Boosting Regressor (ABR), and Gradient Boosting Regressor (GBR) algorithms. The analysis shows that the accuracy of each combined model is improved after adding the residuals to the high-resolution downscaled results. In each modeling window, the accuracy of RF is better than that of ETR, ABR, and GBR. Additionally, compared to the changes in the TWS time series that are derived by the model before and after downscaling, the results indicate that the downscaling accuracy of WS5 is slightly more superior compared to that of WS3, WS7, and WS9. Third, the spatial resolution of the GRACE data was increased from 0.5° to 0.05° by integrating the WS5 and RF algorithm. The results are as follows: (1) The TWS (GWS) changes before and after downscaling are consistent, decreasing at −20.86 mm/yr and −21.79 mm/yr (−14.53 mm/yr and −15.46 mm/yr), respectively, and the Nash–Sutcliffe efficiency coefficient (NSE) and correlation coefficient (CC) values of both are above 0.99 (0.98). (2) The CC between the 80% deep groundwater well data and the downscaled GWS changes are above 0.70. Overall, the MLSDM can not only effectively improve the spatial resolution of GRACE products but also can preserve the spatial distribution of the original signal, which can provide a reference scheme for research focusing on the downscaling of GRACE products.

Investigation on the Operation Status of Community-Based Rehabilitation Station in a District of Chongqing.

Objective Investigate and analyze the current operation status of the community-based rehabilitation station in a district of Chongqing to provide some reference schemes for improving the construction of the community-based rehabilitation system for Chongqing. Methods Self-designed questionnaires were issued to 36 community-based rehabilitation stations in a district of Chongqing to investigate the human resources status, service projects, service methods, and other aspects of the community-based rehabilitation stations. Results The community-based rehabilitation station lacks the participation of medical rehabilitation personnel, and only 33.3% of the community-based rehabilitation stations are composed of multidisciplinary human resources of medical and community staff. Community-based rehabilitation services focus on supply education and publicity (86.11%), and rehabilitation treatment services are not fully involved in the community-based rehabilitation service (44.44%). The methods of community-based rehabilitation services are mainly posters and other publicity activities (94.44%), and the community-based rehabilitation service methods are not highly goal-oriented. Conclusion The survey found some problems to be improved in the construction and operation of grass-roots community-based rehabilitation stations in Chongqing. Community-based rehabilitation stations should enrich the human resources and technology of medical rehabilitation, become an extension of the restoration of community health institutions, and promote the high-quality development of community-based rehabilitation.

Experimental Investigation of Unsteady Pressure Pulsation in New Type Dishwasher Pump with Special Double-Tongue Volute

A pressure pulsation experiment of a dishwasher pump with a passive rotation double-tongue volute was carried out and compared with the pressure pulsation of a single-tongue volute and a static double-tongue volute. The pressure pulsation of the three volute models was compared and analyzed from two aspects of different impeller speeds and different monitoring points. The frequency domain and time–frequency domain of pressure pulsation were obtained by a Fourier transform and short-time Fourier transform, respectively. The results showed that the average pressure of each monitoring point on the rotating double-tongue volute was the smallest and that on the single-tongue volute was the largest. When the impeller rotates at 3000 rpm, there were eight peaks and valleys in the pressure pulsation time domain curve of the single-tongue volute, while the double-tongue volute was twice that of the single-tongue volute. Under different impeller speeds, the changing trends of pressure pulsation time and frequency domain curves of static and rotating double-tongue volutes at monitoring point p1 are basically the same. Therefore, a volute reference scheme with passive rotation speed is proposed in this study, which can effectively improve the flow pattern and reduce pressure inside the dishwasher pump, and also provide a new idea for rotor–rotor interference to guide the innovation of dishwashers.