37 results about "Propagation attenuation" patented technology

The invention discloses an intelligent noise reduction method and system based on a mine earphone, and the method comprises the following steps: S1, obtaining an original noise signal in a mine operation environment, and carrying out the preprocessing of the original noise signal; s2, designing an adaptive compensation mechanism according to the reflection characteristics of the closed space of the mine, calculating a sound wave propagation attenuation coefficient and reflection delay, constructing a roadway reverberation model, and generating advanced compensation sound waves; and S3, carrying out collaborative fusion on the advanced compensation sound wave and a main noise reduction signal to generate a composite noise reduction signal. The invention relates to the technical field of intelligent noise reduction. According to the intelligent noise reduction method and system based on the mine earphone, the noise level in a mine operation environment is effectively reduced, the communication efficiency and the working comfort of operators are improved, potential damage of noise to hearing of the operators is reduced, and therefore the overall safety and the production efficiency of mine operation are improved.

The invention discloses a monitoring system and method for determining an abnormal geologic body based on distributed optical fiber sound wave vibration, and relates to the technical field of distributed optical fiber sound wave detection.The monitoring system comprises a distributed optical fiber sensing unit, a signal excitation unit, a photoelectric demodulation unit, a signal processing and analyzing unit, a result recording and outputting unit and the like; the distributed optical fiber is used for continuously collecting stratum vibration response; the signal excitation unit applies controllable disturbance to a known reference position to induce a potential abnormal geologic body to generate an inactive excitation response signal; the photoelectric demodulation unit performs phase demodulation on backscattered light transmitted back by the optical fiber to form distributed vibration measurement data; and the signal processing and analyzing unit is used for filtering and denoising the data, establishing a quantitative mathematical model of a signal incident angle and signal intensity, solving an epicentral distance and an incident angle and calculating the spatial position of an abnormal geologic body by combining propagation attenuation correction and least square inversion, and is suitable for dangerous section identification and avoidance decision before mining and construction.

This application discloses a method, apparatus, device, and medium for self-calibration of an ultrasonic sensor for transformers. The method involves obtaining the spatial distance by using the time difference and measured sound velocity of the same partial discharge pulse received by a built-in UHF antenna and an external ultrasonic sensor; constructing a cross-medium model based on the acoustic parameters of the insulating oil and the tank to calculate the sound pressure transmission coefficient at the liquid-solid interface; constructing a spherical wave dissipation equation in viscous oil by combining discharge and fluid parameters, and calculating the theoretical sound pressure of the outer shell using the distance and transmission coefficient; comparing the measured peak output voltage of the external sensor with the in-situ acoustic-electric conversion sensitivity for online self-calibration. This method reconstructs a high-fidelity sound wave propagation attenuation model, which can improve calibration accuracy and diagnostic reliability.

The invention discloses an active noise reduction method, device and equipment for a take-off and landing point of a hovercar and a program product. The method comprises the steps that real-time noise signals and real-time environment parameters around a take-off and landing platform and real-time attitude parameters of the hovercar are acquired; performing propagation attenuation compensation on the real-time noise signal to obtain a corrected noise signal; matching in the model noise model library to obtain a corresponding rotor noise reference spectrum, an airflow noise reference spectrum and a power system noise reference spectrum; performing feature analysis on the corrected noise signal to obtain a rotor noise component, an airflow noise component and a power system noise component; predicting the change trend of the noise component through an adaptive filtering algorithm to obtain a predicted noise signal, and predicting the next airspace position of the hovercar according to the real-time attitude parameters; and generating an offset sound wave signal according to the predicted noise signal, and transmitting the offset sound wave signal to a next airspace position. The method realizes active noise reduction of the take-off and landing point of the hovercar, and can be applied to the technical field of hovercars.

The application discloses a noise space discretization method and device based on space-time characteristics. The method comprises the following steps: obtaining sampling data and environmental data of noise; determining a noise source and an active time of the noise based on frequencies obtained at each sampling time point; determining a propagation attenuation amount based on the noise source; determining a time distribution based on the active time; determining a noise source space-time distribution characteristic based on the propagation attenuation amount and the time distribution; determining a noise receiver space distribution characteristic based on types and sound absorption parameters of a plurality of noise receivers; and determining space discretization information of the noise based on the noise source space-time distribution characteristic and the noise receiver space distribution characteristic. The method establishes the noise space discretization information considering the space-time distribution characteristic based on the noise source space-time distribution characteristic and the noise receiver space distribution characteristic, thereby effectively referencing change factors of the noise in different time scales and geographical spaces, so as to improve the accuracy and practicability of the noise space-time distribution.

The application discloses a buried pipeline positioning geophysical prospecting method based on gas acoustic waves, and the method comprises the following steps: obtaining pipeline preset information of a to-be-detected operation area; generating a pipeline estimated path according to the pipeline preset information, and determining a corresponding target acoustic excitation mode through a preset excitation parameter library; generating a control instruction to inject a coded acoustic signal into the pipeline based on the target acoustic excitation mode, and synchronously obtaining response signal data collected by a sensor array moving along the pipeline estimated path; calculating and obtaining a planar trajectory of the pipeline in the ground through a beam forming algorithm based on the response signal data; obtaining the buried depth of the pipeline through a preset propagation attenuation model based on the coded acoustic signal and the response signal data; and outputting a pipeline detection result based on the planar trajectory of the pipeline in the ground and the buried depth of the pipeline. The application realizes high-precision and anti-interference pipeline detection by using the recognizability of coded acoustic waves and the spatial resolution capability of array beam forming.

The invention discloses a GIS disconnecting switch displacement defect identification method and system based on ultrasonic signal feature criteria, and belongs to the technical field of electrical equipment state detection, and the method comprises the steps: S10, obtaining I related data, the I related data comprising normal ultrasonic signals obtained at all parts of a GIS disconnecting switch; each part comprises a moving contact, a static contact and an operating mechanism; and S20, acquiring II related data according to the I related data, the II related data being normal ultrasonic signals reaching the contact surfaces of the moving contact, the static contact and the operating mechanism, and generating an ultrasonic signal library based on the normal ultrasonic signals. According to the method, the normal ultrasonic signals of the key parts are acquired and the signal library is constructed, so that the ectopic defects are accurately identified and quickly positioned, and meanwhile, the means of deviation calculation, propagation attenuation analysis, statistical characteristics and the like are introduced, so that the reliability and the stability of judgment are enhanced.

The application discloses a rock burst global monitoring and dynamic-static near and far field cooperative early warning method and system, and the early warning method comprises the following steps: based on the far field generation and propagation mechanism of dynamic load stress wave, determining the key monitoring area of the stope space and the stress wave type, delineating the high stress area of the working face surrounding rock and analyzing the structure characteristics of the rock stratum; setting a microseismic sensor in the far field key area, obtaining parameters such as the source rupture size, energy and magnitude through waveform inversion; arranging an acoustic-electric system in the near field high stress area, dynamically monitoring the coal rock rupture characteristics and quantitatively analyzing the static load energy storage state of the surrounding rock. Combined with the stress wave propagation attenuation coefficient, the near and far field fusion early warning criterion under the superposition action of dynamic and static energy is established, and through the cooperative analysis of multi-source monitoring data, the rock burst advanced precise early warning is realized. The application proposes a disaster gestating space global monitoring technology fusing seismic, acoustic and electric, considers the chain evolution disaster-causing process of dynamic load generation, cross-space propagation and working face surrounding rock damage, and is helpful to significantly improve the accuracy of rock burst early warning.

According to the intelligent sensing caulking sealing structure and the runway pavement health state monitoring method provided by the invention, the prefabricated sensing rubber strip with the modulus gradient transition embedding material is arranged in the runway shoulder caulking, so that tight coupling and cooperative deformation between the sensing optical cable and the caulking glue made of a silicone material are realized; the problems of modulus mismatch, interface stripping, optical cable bounce and the like are effectively solved, and stable and high-fidelity acquisition of vibration signals is ensured; according to the monitoring method, the system identification technology of center line excitation and runway shoulder response is utilized, the surface wave propagation model and the regularization reconstruction algorithm are combined, the runway center line vibration state is inversed in a high-precision mode from runway shoulder signals, propagation attenuation and time delay are compensated, the monitored space coverage capacity and signal restoration precision are remarkably improved, and the monitoring precision is improved. The low-influence, wide-coverage and continuous real-time monitoring of the stock runway is realized, and finally a more reliable and efficient technical scheme is provided for runway surface health state evaluation and operation safety guarantee.

The invention discloses a buried pipeline positioning geophysical prospecting method based on gas sound waves. The method comprises the steps that pipeline preset information of a to-be-detected operation area is acquired; according to the pipeline preset information, generating a pipeline estimated path, and determining a corresponding target sound wave excitation mode through a preset excitation parameter library; based on the target sound wave excitation mode, generating a control instruction to inject a coded sound wave signal into the pipeline, and synchronously obtaining response signal data collected by the sensor array moving along the estimated path of the pipeline; calculating the response signal data through a beam forming algorithm, and obtaining the underground plane track of the pipeline; based on the coded sound wave signal and the response signal data, the burial depth of the pipeline is obtained through a preset propagation attenuation model; and outputting a pipeline detection result based on the underground plane track of the pipeline and the burial depth of the pipeline. According to the invention, high-precision and anti-interference pipeline detection is realized by using the identifiability of coded sound waves and the spatial resolution capability of array beam formation.

The application discloses a kind of long-distance high-voltage cable buffer layer defect reflection intensity fast estimation method, this method is mainly suitable for the quick and accurate estimation of long-distance high-voltage cable buffer layer ablation defect reflection intensity.The specific steps of the method are as follows: (1) test at the defect cable first end and the end, obtain the first end reflection coefficient of two ends;(2) obtain the frequency spectrum amplitude and pseudo frequency information after correction at the defect;(3) solve to obtain the defect position and signal propagation attenuation constant;(4) solve to obtain the reflection intensity of high-voltage cable buffer layer defect at any position.The method is simple, fast, and the calculation accuracy is high, to a certain extent, eliminates the influence of spectrum leakage, aperture effect and defect position on the calculation of reflection intensity, can quickly and accurately estimate the reflection intensity of high-voltage cable buffer layer ablation defect at any position, has important reference value for timely grasping the severity of high-voltage cable buffer layer defect and determining the priority of defect treatment.

The application discloses a kind of combustion reaction analysis laser-induced fluorescence background average absorbance determination method, it is related to combustion test and laser-induced fluorescence technical field, it can at least partly solve the technical problem of quantitative analysis of the propagation decay of laser-induced fluorescence signal in reaction gas in prior art.This application includes: constructing laser-induced fluorescence testing device, two cameras are located at the two sides of reaction cavity respectively;First measurement state is configured to make the distance of two cameras from reaction cavity present preset multiple relationship, synchronous acquisition fluorescence image and calculate first fluorescence intensity ratio;Synchronous acquisition fluorescence image and calculate second fluorescence intensity ratio;Based on the two fluorescence intensity ratio and the preset multiple relationship, calculate absorbance parameter;According to the absorbance parameter and fluorescence propagation path distance, calculate absorption rate.The application realizes laser-induced fluorescence signal absorption quantitative analysis, and provides key error analysis basis for combustion reaction kinetics research.

This invention discloses a behavioral path sequence mining application platform based on dynamic intervention timing selection, belonging to the field of big data mining technology. It includes the following steps: a trend feature calculation module, a path propagation construction module, a path sequence correction module, an intervention timing selection module, and an intervention effectiveness determination module. The trend feature calculation module collects multi-source data from patrol terminals and extracts behavioral trend features within an adaptive sliding window; the path propagation construction module generates a dynamic boundary band and statistically analyzes the intervention propagation attenuation chain with a temporal forgetting factor; the path sequence correction module dynamically adjusts the boundary band in real time based on the cognitive load modulation coefficient and accelerates the effectiveness of the forgetting factor; the intervention timing selection module determines whether the trend feature continuously crosses the upper boundary to determine the intervention timing; and the intervention effectiveness determination module corrects the attenuation chain loss coefficient after intervention. This scheme can suppress false triggering caused by instantaneous noise, improving decision-making accuracy and resource utilization efficiency.

The invention provides an inspection robot multi-source sensing cooperative positioning method and system facing an electromagnetic interference environment, and relates to the technical field of industrial inspection robot positioning. The method comprises the following steps: firstly, acquiring laser radar point cloud data, inertial measurement unit data, wheel type odometer data and ultra wide band wireless signal data acquired by the inspection robot in an electromagnetic interference environment; constructing a spatial topological association graph structure which takes the geometric structure characteristics of the laser radar point cloud as topological constraint nodes and takes the propagation attenuation characteristics of the ultra-wideband wireless signal as edge weights; on the basis, motion constraint embedding processing is performed on data of the inertial measurement unit and the wheel type odometer to generate a graph optimization initial state set; inputting the position coordinates into an electromagnetic interference robust graph optimization engine, and solving to obtain an optimized position coordinate set; and a continuous motion track coordinate sequence is generated according to the position coordinate difference value of the adjacent nodes, and high-precision positioning of the inspection robot in the electromagnetic interference environment is achieved.

The application discloses a kind of roadway anti-seismic safety factor calculation method and safety prediction method, step 1, the minimum mine shock energy E that roadway can resist is determined by all blasting microseismic data in pit min ; Step 2, according to the propagation attenuation law of vibration wave in rock mass, the maximum mine shock energy E max That can be expected to occur is calculated from any position to the remaining energy E m Of roadway;Step 3, according to the minimum mine shock energy E min And E m Resisted by roadway, the anti-seismic safety factor β of roadway is calculated. Wherein, the physical meaning of roadway anti-seismic safety factor calculation formula involved is clear, the parameter calculation involved in formula is clear, the acquisition of blasting microseismic data involved in the calculation process is relatively simple, the cost is very low, and it is strong in universality.

The application provides a coal mine fluidized mining dynamic disaster prevention and control method and system, and relates to the technical field of disaster prevention and control. The method comprises the following steps: establishing a risk atlas based on multi-field information of a mining area and setting an upper limit of a shock source intensity, a path attenuation target and an energy absorption displacement target, implementing in-situ modification to form a distributed micro-fracture network under the constraint of control indexes, calculating a residual dynamic load spectrum to weaken the shock source, constructing an artificial barrier with wave impedance mutation and an energy absorption zone according to the residual dynamic load spectrum to realize propagation energy reduction, configuring a flexible energy absorption protection system according to the residual dynamic load spectrum and a propagation attenuation coefficient, and monitoring microseismic, stress and displacement data in real time, and realizing parameter adaptive correction through threshold triggered linkage disposal. The method constructs a "source-path-field" integrated active prevention and control system, realizes dynamic regulation and control and closed-loop management of the fluidized mining process, and significantly improves the intrinsic safety and intelligent level of deep mining.

The invention discloses a sea ice thickness partition inversion method based on three-layer dynamic roughness of a wind cloud satellite, and the method comprises the steps: firstly obtaining GNSS-R remote sensing observation data, sea ice reference product data and marine environment parameter data, and obtaining a matching sample set through correlation matching; further calculating to obtain electromagnetic physical parameters and in-ice propagation attenuation related parameters of the sea ice and the seawater; constructing a dynamic roughness reflection model of an air-sea ice-seawater three-layer medium structure; dividing the specular reflection points in the matching sample set into normal area sea ice samples and rough area sea ice samples; performing physical method inversion on the sea ice sample in the normal area by adopting a dynamic roughness reflection model to obtain the sea ice thickness of the normal area; constructing a second-stage machine learning model for the rough region sea ice sample, and carrying out regression inversion to obtain the sea ice thickness of the rough region; and finally carrying out fusion processing on the sea ice thickness inversion results of the normal area and the rough area and outputting.

The application discloses a through-wall fall detection and early warning system and method based on a Lora signal, wherein a transmitter and a receiver are placed on the same side under a partition in a room, the receiver is installed with two antennas, can simultaneously receive the signals reflected and diffracted by multiple paths in the environment by the transmitter, and utilizes signal division operation to eliminate the influence of phase offset, so that the transmission signal and the receiving signal clock are synchronized; in order to cope with the problem of weak signal caused by the attenuation of Lora signal transmission through the partition, a time domain aliasing method is used to amplify the signal, the time-frequency spectrum of the signal is extracted, the signal entropy information, the power mutation curve and the signal-to-noise ratio are calculated as the signal characteristics. The data is labeled based on a fuzzy labeling method to train a deep model, and the fall behavior of a person in the room is detected through the model, and if the fall behavior occurs, an alarm signal is sent. The application can distinguish the normal activity of a person from the fall behavior, has a wide sensing range and high sensing accuracy.

The present invention makes it possible to easily introduce a wireless communication system that enables communication using radio waves in a frequency band having large propagation attenuation and high directivity, between a first communication device and a second communication device arranged at positions that are shielded by a shield and cannot be seen from each other.　A communication system S capable of communicating with a first communication device 10, a second communication device A20a, and a second communication device B20b can be introduced by a simple method of installing a radio wave scattering sheet 1 (a radio wave scattering sheet 30 with a protective layer), which is a radio wave scattering body having scattering characteristics of reflecting incident radio waves in a plurality of directions and not requiring a power supply, at an appropriate place on a ceiling, a floor, or a side wall that can be commonly seen from the first communication device 10, the second communication device A20a, and the second communication device B20b arranged so as not to be directly seen from each other by a shield 110 of a room 100.

The invention relates to a method for realizing change complexity intelligent measurement based on graph network propagation attenuation. The method comprises the following steps: constructing a directed graph network; dynamically generating an edge propagation attenuation coefficient through multi-modal feature fusion, and optimizing the edge propagation attenuation coefficient by adopting a bidirectional tuning strategy; and calculating an influence range and a complexity index based on attenuation propagation simulation. According to the method, the system, the device, the processor and the computer readable storage medium for realizing the intelligent measurement of the change complexity based on the graph network propagation attenuation, an attenuation propagation hypothesis conforming to software engineering practice, a multi-modal feature adaptive coefficient generation mechanism and an efficient bidirectional tuning algorithm are adopted. The technical innovations enable the system to accurately capture the nonlinear propagation characteristics influenced by the change, and provide reliable scientific basis for software change decision.

The invention discloses a laser-induced fluorescence background average absorbance determination method for combustion reaction analysis, relates to the technical field of combustion test and laser-induced fluorescence, and can at least partially solve the technical problem of lack of quantitative analysis of propagation attenuation of laser-induced fluorescence signals in reaction gas in the prior art. The method comprises the following steps: constructing a laser-induced fluorescence testing device, and arranging two cameras on two sides of a reaction cavity respectively; configuring a first measurement state to enable the distances between the two cameras and the reaction cavity to be in a preset multiple relationship, synchronously acquiring fluorescence images and calculating a first fluorescence intensity ratio; synchronously acquiring a fluorescence image and calculating a second fluorescence intensity ratio; calculating an absorbance parameter based on the two fluorescence intensity ratios and the preset multiple relationship; and calculating the absorptivity according to the absorbance parameter and the fluorescence propagation path distance. According to the invention, quantitative analysis of laser-induced fluorescence signal absorption is realized, and a key error analysis basis is provided for combustion reaction kinetic research.

A method of manufacturing a surface acoustic wave resonator includes forming or providing a support substrate layer, forming or providing piezoelectric layer of lithium niobate over the support substrate layer, and forming or providing an interdigital transducer electrode including a plurality of fingers over the piezoelectric layer. The piezoelectric layer formed or provided having a cut angle (e.g., the piezoelectric angle is cut so as to have a crystal orientation) that allows the surface acoustic wave device to operate as a longitudinally leaky surface acoustic wave device that confines the acoustic wave energy within the piezoelectric substrate and that has less propagation attenuation and a higher electromechanical coupling coefficient k2.

TITLE: Computer-based method for determining the propagation attenuation of a radio frequency signal, computer program and device. The present invention relates to a method for determining the propagation attenuation of a radio frequency signal and comprising the following steps: loading a digital terrain model, the digital terrain model representing the topography of a terrestrial area; loading a digital surface model of the terrestrial area; generating at least one ray between at least a first point on the terrestrial area and at least a second point, the first point being the position of a transmitter of the radio frequency signal and the second point being the position of a receiver of the radio frequency signal; using each ray to generate respectively a first relief vector from the digital terrain model;use each ray to generate a second vector defining the above-ground characteristic from the digital above-ground model; and calculate, using a trained artificial intelligence algorithm, the propagation attenuation of a radio frequency signal. Figure for the abstract: 2;

The invention relates to a hydrogen conveying pipeline leakage detection method and device based on a leakage sensing model, and belongs to the technical field of pipeline safety monitoring, and the method comprises the steps: collecting vibration signals along a hydrogen conveying pipeline; preprocessing the vibration signal to obtain a plurality of vibration signal segments; the vibration signal segments are input to a pre-trained random forest classification model, and the random forest classification model is integrated based on a plurality of decision trees and is used for identifying leakage states corresponding to the vibration signal segments; according to an output result of the random forest classification model, judging whether the hydrogen conveying pipeline leaks or not; if it is judged that leakage occurs, the position of a leakage point is determined based on a vibration propagation attenuation model and signals of a plurality of vibration sensors arranged along the pipeline. The problems that weak leakage of the hydrogen conveying pipeline is difficult to detect, the false alarm rate is high and positioning is inaccurate are solved, and the method has the advantages of being high in detection precision, high in robustness and accurate in positioning and is suitable for engineering practice of safety monitoring of the hydrogen conveying pipeline.

The application discloses a lightning single-station positioning method based on expert grouping and conditional gating, and belongs to the technical field of lightning positioning. The application introduces multiple expert modules for learning feature patterns of lightning signals under conditions of changes in propagation distance, direction anisotropy, ionospheric state and multi-factor coupling. The application further designs a conditional gating module to differentially weight and fuse expert representations, enabling adaptive selection of different propagation environments. Through the collaborative mechanism of expert grouping learning and conditional gating weighting, the application significantly improves the model's adaptability to ionospheric changes, propagation attenuation and azimuth anisotropy, thereby effectively improving the precision, robustness and physical interpretability of single-station lightning positioning.

The application discloses a kind of monitoring system and method for determining abnormal geologic body based on distributed optical fiber acoustic wave vibration, it is related to distributed optical fiber acoustic wave detection technical field, including distributed optical fiber sensing unit, signal excitation unit, photoelectric demodulation unit, signal processing and analysis unit and result record and output unit etc., and distributed optical fiber is used to continuously collect stratum vibration response;Signal excitation unit applies controllable disturbance at known reference position, induces potential abnormal geologic body to generate non-active excitation response signal;Photoelectric demodulation unit carries out phase demodulation to backscattering light returned by optical fiber, forms distributed vibration measurement data;Signal processing and analysis unit filters noise reduction to data, establishes quantitative mathematical model of signal incidence angle and signal intensity, and is combined with propagation attenuation correction and least square inversion, obtains epicentral distance and incidence angle, calculates the spatial position of abnormal geologic body, and is suitable for mining and dangerous section identification and avoidance decision before construction.

The embodiment of the application discloses a kind of based on uncertainty hot-rolled plate coil multi-process collaborative scheduling method and system, the method includes: the energy coupling relationship model between hot-rolled each process is built, heating, rough rolling, finishing and coiling process are abstracted as node, the directed weighted relationship of energy transmission intensity and delay characteristic is established;Based on the process parameters of real-time acquisition, the energy deviation of each process node is calculated;Propagation attenuation factor and time lag parameter are included in the disturbance propagation function, and energy deviation is introduced into disturbance propagation function as input, to carry out cascading propagation calculation between each process node to the disturbance, obtain the disturbance influence of each process node;Based on the disturbance influence of each process node and current process state, construct multi-process disturbance risk index;The processing order and rhythm of hot-rolled plate coil between each process are dynamically adjusted, realize multi-process collaborative scheduling optimization.The stability and efficiency of the application are improved hot-rolled production.

The invention discloses a lightning single-station positioning method based on expert grouping and conditional gating, which belongs to the technical field of lightning positioning and comprises six steps of single-station lightning data set construction and preprocessing, model construction, expert module pre-training, conditional gating module pre-training, joint fine tuning and model application. According to the invention, a multi-expert module is introduced and is used for respectively learning characteristic modes of lightning signals under propagation distance change, direction anisotropy, ionosphere state and multi-factor coupling conditions. A condition gating module is further designed, differential weighted fusion is carried out on expert characterization, and self-adaptive selection of different propagation environments is achieved; according to the invention, through a cooperation mechanism of expert grouping learning and conditional gating weight adjustment, the adaptability of the model to ionosphere change, propagation attenuation and azimuth anisotropy is significantly improved, so that the precision, robustness and physical interpretability of single-station lightning positioning are effectively improved.

A base station allocation support apparatus includes a first calculation unit that calculates radio wave propagation attenuation values between a plurality of wireless terminals in a certain area based on position information of each of the plurality of wireless terminals and information indicating a layout of the area, a clustering unit that performs clustering on the plurality of wireless terminals based on the radio wave propagation attenuation values; and a determination unit that determines an arrangement position of a wireless base station with respect to the wireless terminals based on a result of the clustering.