55results about How to "Solve evaluation problems" patented technology

A multidimensional evaluation method for a large-scale grounding grid includes the following steps of on-site testing, numerical calculation based on the electromagnetic field principle and multidimensional evaluation on the grounding grid. The foothold of the multidimensional evaluation method for the grounding grid is based on basic functions of the grounding grid, the basic functions are stream breaking and potential holding safety performance under power frequency grounding faults and lightning stroke faults, and the evaluation problems of characteristic parameters reflecting the safety performance of the grounding grid under the power frequency grounding faults and in the state of lightning stroke are mainly solved, wherein the characteristic parameters relate to grounding grid potential rising, potential difference in the grid, a step voltage, a contact voltage and the like. The multidimensional evaluation on the grounding grid is achieved from the aspects of the characteristic parameters of the grounding grid, integrity of the grounding grid, corrosion evaluation, thermal stability check and the like, safety of the grounding grid is expressed more scientifically, the evaluation on the state of the grounding grid is more accurate, and the safety problem and the defects of the grounding grid are rectified more effectively in a more pertinent mode.

The invention discloses a wind power utilization rate calculation method based on running data. The method comprises the following steps of 1, conducting preliminary screening and eliminating on abnormal data based on a fan running principle; 2, adopting a quartile method of parameter optimization to further eliminate the abnormal data; 3, adopting a clustering algorithm to deeply eliminate the abnormal data; 4, adopting segmental Hermite interpolation to reconstruct missing data; 5, establishing a theoretical power calculation model of a wind power unit with a corresponding model number and conducting wind power plant theoretical power restoration; 6, calculating wind power utilization rate corresponding indexes. Based on fan running data recorded by a wind power plant SCADA (Supervisory Control And Data Acquisition) system, and through the combination of an effective data quality control means, a wind power plant theoretical power restoration algorithm is provided, which provides a reasonable path for calculation of the wind power utilization rate, and also provides scientific basis for wind power running condition evaluation and planning and development of the wind power and power grid.

The invention belongs to the simulation system and method of bogie of a high-speed train and discloses a coupling simulation system and method used for vibrating and loading a bogie assembly with multi-degree of freedom. A tension and pressure sensor and a displacement sensor are all mounted on servo hydraulic cylinders. An acceleration sensor is mounted on a six-degree-of-freedom excitation teststand. The tension and pressure sensor, the displacement sensor and the acceleration sensor are used for detecting stroke of a rod of the servo hydraulic cylinder, tension or pressure applied on the servo hydraulic cylinder and accelerated speed of the six-degree-of-freedom excitation teststand and feed back to a servo controller through PCI (peripheral component interconnect) 1716 of an AD board. An X-direction excitation hydraulic cylinder, a Y-direction excitation hydraulic cylinder and a Z-direction excitation hydraulic cylinder apply forces to the six-degree-of-freedom excitation teststand to simulate the six-degree-of-freedom movement. An X-direction force loading hydraulic cylinder, a Y-direction force loading hydraulic cylinder and a Z-direction force loading hydraulic cylinder apply forces to a train simulation device to simulate four-degree-of-freedom static and dynamic force loading, which is integrated with the six-degree-of-freedom vibration simulation to form the coupling simulation. The coupling simulation system has the advantages that redundant force and dynamic load interference factors are reduced, true coupling mechanics simulation environment is provided for the bogie of the high-speed train, and true and accurate detection is acquired in the state of the coupling environment.

The invention discloses a rapid prediction method for the impact of spaceborne microstrip antenna array thermal deformation on electrical performance. The rapid prediction method includes 1), determining geometric model parameters, material attributes and electromagnetic parameters of an antenna; 2), establishing a finite element model of an antenna structure, determining constraint conditions and calculating array thermal deformation of the antenna; 3), calculating structural deformation, center node offset and pointing deflection of antenna elements in the array antenna under the thermal-load environment; 4), calculating radiation pattern function of the microstrip antenna elements; 5), calculating spatial phase difference and actinal surface phase difference of every two neighboring antenna elements; 6), establishing a spaceborne microstrip array antenna electromechanical coupling model and drawing an antenna radiation field direction graph; 7), analyzing the impact of the thermal deformation of the antenna structure under the thermal-load environment on antenna radiation performance. The impact of the thermal deformation of the antenna structure on the antenna radiation performance can be evaluated rapidly, so that thermal design and structural design of the antenna are guided, development cost is reduced, and development cycle is shortened.

The invention discloses an intelligent ammeter provider multi-target integral evaluation method based on gray correlation degrees; the method comprises the following steps: suggesting an intelligent ammeter provider integral evaluation model so as to fully and objectively evaluate the intelligent ammeter provider; using a vector specification-based method to carry out dimensionless process for an index matrix, thus preventing inconsistent units and large magnitude order difference problems caused by different types of indexes; finally calculating the gray correlation degree, and converting the intelligent ammeter provider multi-target evaluation problem into correlation coefficient comparison. Compared with a conventional simple index weighting method, the intelligent ammeter provider multi-target integral evaluation method is more direct and scientific, can effectively solve the intelligent ammeter provider integral evaluation problem, can carry out multi-target integral quantification evaluation for a to-be-evaluated provider with obvious physics meanings, thus solving the problems that the multi-target evaluation is complex in indexes and strong in subjectivity; the intelligent ammeter provider multi-target integral evaluation method is high in evaluation accuracy, and scientific and objective in evaluations.

An altimeter detector belongs to the technical fields of detection measurement and test, and solves problems of single detection object, and inconsistent detection means and standards on different altimeters of an existing altimeter detector. The altimeter detector of the present invention uses a DSP digital signal processing circuit as a core device; the DSP digital signal processing circuit outputs attenuation control signal and delay control signal to a height simulation circuit, so as to control the height simulation circuit to generate a plurality of equivalent height radiofrequency signals corresponding to a plurality of heights to the altimeter; the DSP digital signal processing circuit acquires voltage current signal of the altimeter through an A / D converting circuit, and acquires digital signal of the altimeter and control signal output to the altimeter through an altimeter interface circuit. Application of the altimeter detector of the invention can realize detection on a plurality of altimeters, substantially increase altimeter test efficiency and bring convenience to test and maintenance of the altimeter.

The invention provides a character evaluation method and device. The character evaluation method comprises steps as follows: an evaluation instruction of a character input by a user is received; graphic information of the character is read according to the evaluation instruction; the character pattern is analyzed according to the graphic information, and written character pattern information of the character is acquired; a score value of the character is generated according to the written character pattern information and reference character pattern information. By means of the character evaluation method, an objective evaluation result of the written character can be obtained, the problem that the written character is evaluated according to subjective judgment of an evaluator at present is solved, and the character evaluation reliability is improved.

The invention relates to a dispatching automation system software quality evaluation method. The method comprises the following steps of: I, establishing a software quality model; II, establishing anindex system; III, carrying out multi-index comprehensive evaluation; and IV, calculating a quality index. According to the evaluation method disclosed by the invention, the complete software qualitymodel is constructed, the comprehensive quality index system is established, an effective index test method and a comprehensive evaluation method are disclosed, the specific quality index are given, test methods such as black-box test and artificial judgement are applied, comprehensive and effective test is carried out on software through a complete test case and an evaluation set, and comprehensive evaluation is carried out on the software quality by adoption of an analytic hierarchy process and a fuzzy comprehensive judgement method, so that the dispatching automation system software qualityevaluation problem is solved, and the software quality evaluation efficiency and correctness are improved at the same time, thereby providing guarantee for the stable operation of dispatching automation systems and powerfully supporting the safe operation of power grids.

The invention discloses a rockburst risk prediction method and system based on comprehensive attribute measurement and a medium. The rockburst risk prediction method comprises: determining evaluationindexes, evaluation grades and grading standards of rockburst risks; constructing a single-index attribute measure function of each evaluation index of the rockburst risk according to the grading standard; determining the weight of each evaluation index by adopting a frequency statistical method according to the historical rockburst data; obtaining a to-be-predicted sample, and calculating single-index attribute measurement of the to-be-predicted sample according to the single-index attribute measurement function; calculating comprehensive attribute measurement according to the single-index attribute measurement of the to-be-predicted sample and the weight of each evaluation index; and for the comprehensive attribute measure, predicting the rockburst risk of the to-be-predicted sample by adopting a confidence criterion. The evaluation model considers the complexity of underground engineering geological conditions and the uncertainty of risks, provides an effective method and way for rockburst risk evaluation, and has certain feasibility and applicability in engineering practice.

The invention provides a detector dynamic performance integrated testing and evaluating method. The detector dynamic performance integrated testing and evaluating method comprises steps of 1, performing the reception linear test and the ground noise test; 2, performing the pulse signal test and the weak signal reception ability test; 3, performing the anti-interference capability test and the actual seismic signal reception capability test; 4, performing the field test to verify the reception performance of the detector by comparing actual seismic tests; and 5, performing the integrated performance evaluation of the detector. The detector dynamic performance integrated testing and evaluating method is closely integrated with the actual data, and the effect is more obvious. It is an effective method to preferably select the detector according to the seismic exploration demand.

A near-field acoustic holographic calibration and measurement method for an impedance characteristic of a planar sonar array belongs to the technical field of research on the near-field acoustic holographic measurement method for the impedance characteristic of large planar emission arrays. The method is characterized by including an impedance characteristic calculation method of the planar emission array; a radiation impedance calibration method based on near-field acoustic holography; a BAHIM method based near-field acoustic holographic transformation method and algorithm; value simulation via a radiation impedance calibration method based on near-field acoustic holography; and establishment of a near-field acoustic holographic theoretical test model for the impedance characteristic of alow-frequency planar sonar array. Acoustic characteristic calibration demands of an active sonar device can be monitored according to water sound, research on basic principles of near-field acousticholographic calibration for the impedance characteristic of the planar sonar array, design of a near-field acoustic holographic calibration scheme, development of impedance calibration software of thelow-frequency sonar array, and near-field acoustic holographic calibration and measurement test can be implemented in a targeted way, and thus, the calibration capability of a low-frequency emissionenergy transducer calibration system can be improved, and problems in evaluating the impedance characteristic of the low frequency sonar are solved.

The invention discloses an outsourcing supplier evaluation method based on hybrid PSO-Adam neural network. The method includes the following steps: establishing outsourcing supplier evaluation data set; the data set being divided into k mutually exclusive subsets of similar size by using the set-aside method. The union of k-1 subsets is used as the training set, and the remaining subset is used asthe test set, so that k groups of training sets and test sets are obtained. Establish neural network, the model structure of neural network includes input layer, hidden layer, output layer; Neural network training, to obtain the neural network model after training; After training the neural network, the outsourcing supplier data set is input to the input layer of the neural network, and the output layer of the neural network is the evaluation score of the outsourcing supplier. The method of the invention can objectively and efficiently carry out outsourcing supplier evaluation decision, reduce reliance on personal experience, reduce supplier evaluation difficulty and reduce supply chain management cost.

The invention discloses a signal-to-interference ratio decision method in actual ICI (Inter-Carrier Interference) elimination of a high-mobility OFDM (Orthogonal Frequency Division Multiplexing) cooperative system, which comprises the following steps of: (1) establishing a signal-to-interference ratio model of the capacity of the cooperative system, and analyzing the influence degree of the signal-to-interference ratio on the capacity of the system; (2) determining a value get method of the signal-to-interference ratio of the cooperative method according to a direct channel and the channel characteristics of the cooperative system; (3) calculating a signal-to-interference ratio range which can satisfy system performance requirements according to the signal-to-interference ratio model of the capacity of the cooperative system and the value get method of the signal-to-interference ratio; and (4) determining the elimination process of an elimination algorithm and evaluating the algorithm performance of the elimination algorithm according to the threshold of the signal-to-interference ratio. The method effectively solves the problem of the evaluation on elimination effect during the actual ICI elimination process by using the scheme of evaluating system performance by the signal-to-interference ratio, and the method greatly reduces calculation on the premise of having the same effect with a bit error index measurement elimination algorithm.

The invention relates to a system and a method for realizing image fog-haze evaluation based on Fourier transformation, wherein the system comprises a gray scale conversion module used for reading in current image information and carrying out conversion from multicolor to gray scale, a non-local mean filtering module used for establishing a rectangular coordinate system with a pixel point at the top left corner of an image after the grey scale conversion as an original point and carrying out non-local mean filtering for the image after the grey scale conversion, a Fourier transformation module used for calculating a Fourier amplitude value of the filtered image, and an image entropy calculation module used for calculating an image entropy for the obtained value after the Fourier transformation and taking the obtained the entropy value as a fog-haze image evaluation result. According to the system and the method for realizing the image fog-haze evaluation based on the Fourier transformation, by adopting the structure, the relatively difficult problem in time domain, namely, the problem that the image fog and haze are effectively normalized to central amplitude change entropies is solved through transformation and processing of a frequency domain; the entropy value effectively represents the fog-haze image evaluation result; the system and the method have a wider application range.

The present invention discloses a handwritten Chinese character correctness distinguishing method based on a labeling relationship, which comprises the specific steps of: establishing a standard Chinese character library comprising Chinese character correctness judgment related feature identifications; acquiring a user handwritten Chinese character point set and carrying out preprocessing; carrying out standardization processing on stroke types of a handwritten Chinese character and judging whether the stroke types and a stroke number are correct; judging a space position relationship of the same type of strokes of the handwritten Chinese character and completing corresponding between strokes of the handwritten Chinese character and a standard Chinese character; judging correctness of a crossing, abutting and neighbor relationship of the handwritten Chinese character; judging correctness of a space position relationship of parts of the handwritten Chinese character; and judging correctness of special structural features of the handwritten Chinese character so as to complete distinguishment on correctness of the user handwritten Chinese character by the steps. The method disclosed by the present invention realizes identification on correctness of the handwritten Chinese character and has important application value.

The invention provides a wind power curve multi-target comprehensive evaluation method and device and a server, and relates to the technical field of wind power plant data processing. The method comprises: obtaining actually-measured data samples, and the actually-measured data samples being actually-measured operation data of the wind speed and power of a draught fan in a wind power plant withina specified time period; drawing a wind power curve of the fan in a specified time period according to the actual measurement data sample; wherein the wind power curve is a curve based on wind speed and power; establishing an evaluation model based on the wind power curve, and calculating evaluation indexes corresponding to the evaluation model; and performing multi-target comprehensive evaluationon the wind power curve according to the evaluation indexes. The invention provides a wind power curve multi-target comprehensive evaluation method and device and a server. According to the method, multi-target comprehensive evaluation can be carried out on the wind power curve according to the evaluation indexes, then quantitative evaluation is carried out on the comprehensive performance of thewind power curve, the comprehensive evaluation problem of the performance of the wind power curve is well solved, and a solid foundation is laid for subsequent data analysis.

The invention relates to an impedance characteristic calibration method of a low-frequency sonar array, and belongs to the technical field of research on impedance characteristic near-field acoustic holographic measurement methods of the large planar emission array. The method is technically characterized in that an impedance characteristic calibration software configuration of the low frequency sonar array is designed; a consistency calibration function module of a measurement system is developed; and calibration measurement and test via the impedance characteristic near field acoustic holographic method of the planar sonar array is carried out. Research related to basic principles of the impedance characteristic near field acoustic holographic method of the planar sonar array, near-fieldholographic method calibration scheme design, low-frequency sonar array impedance characteristic measurement calibration software development and measurement and test of the near-field acoustic holographic calibration can be carried out in a targeted way according to requirements for acoustic characteristic calibration of an active sonar device of a water sound monitoring ship, the calibration capability of the lower-frequency emitting energy transducer calibration system is improved, the problems in evaluating the impedance characteristics of the low frequency sonar array are solved, the ship whose water sonar is in low frequency can be used for monitoring, and the low-frequency sonar monitoring result of the ship is more accurate.

The invention relates to an evaluation method for mine safety system, which is a combined evaluation method for mine ventilation system based on grey cluster analysis. The mine ventilation combined evaluation problem can be solved based on grey cluster analysis theory and by using the method of quantitative analysis. Comparing with the prior method, the method has the characteristic that the evaluation is objective, accurate and high sensitivity, which is in particular suit for the management of the large-scale mine ventilation system.

The invention discloses a new energy electric power reduction panorama analytic system and a method. The new energy electric power reduction panorama analytic system comprises an input module, an electric system generator set maintenance plan module, a random production imitating and starting composite module, a peak modulation analytic module, a frequency modulation analytic module, a panorama type new energy reduction scale calculating module and an output module. According to the new energy electric power reduction panorama analytic system, an omnibus new energy electric power large-scale development reduction panorama analytic processing platform is constructed, generation models using new energy sources such as wind power are embedded into an electric power system maintenance plan, random production imitating and starting composite calculation, peak modulation analysis, frequency modulation analysis and new energy reduction scale calculation, a comprehensive evaluation system and a method for the new energy electric system are constructed, and the system covers systematic planning, operation, scheduling and stages of a year, a week, a month, a day, a minute (in) and is used for analyzing the consumption of new energy wind power grid combination in large scales in an all-around and all-time mode.

The invention discloses a rolling linear guide pair reliability acceleration test assessment method. According to the method, first, fault modes in a reliability acceleration test are classified, andcorresponding weighting coefficients are utilized to calculate the number of faults; second, load conditions of the reliability acceleration test are utilized to calculate stress acceleration factorsof the acceleration test; third, the acceleration factors are utilized to calculate average fault interval mileage under a single stress level or two stress levels; and last, average fault interval time under all samples is utilized to evaluate the reliability of a rolling linear guide pair. Through the rolling linear guide pair reliability acceleration test assessment method based on an acceleration life time model, the reliability problem of the rolling linear guide pair with a fault or without a fault currently can be effectively solved, and therefore the accuracy of the reliability test result is improved.

The invention provides a river light pollution index extraction method based on a noctilucent remote sensing image, and the method comprises: obtaining river data information, and also comprises the following steps: processing the river data information, processing the noctilucent remote sensing image data of the river, and extracting the river light pollution index. The invention provides a river light pollution index extraction method based on a noctilucent remote sensing image, which comprises: firstly, carrying out segmentation processing and buffer area analysis on a river, and converting a river line map layer into a surface map layer; meanwhile, performing registration and splicing processing on the Luoga remote sensing image to form a complete image; then, by utilizing a spatial statistical method, counting the average value of the light brightness in each river buffer area surface; and finally, associating the average value into the river map layer attributes to form a river light pollution index map, thereby solving the evaluation problem of large-range river light pollution, on one hand, quickly extracting the river light pollution index, and on the other hand, ensuring the consistency of data among different regions.

The invention discloses an acceleration testing and evaluating method of the reliability of a ball screw pair. The method includes the following steps of classifying failures in a reliability accelerated test, calculating the failure number through a determined weighting coefficient, calculating a stress acceleration coefficient of the accelerated test through the load conditions of the reliability accelerated test, calculating single-stress or double-stress horizontal mean failure interval revolution through the acceleration coefficient, and evaluating the reliability of the ball screw pair through mean time between failures under all samples. According to a ball screw pair reliability accelerated testing and evaluating method based on an acceleration service life model, the current reliability problem of the ball screw pair with or without failures can be effectively solved, and then the accuracy of the reliability testing result is improved.

The invention relates to an evaluation method for homogenization of cigarette product quality by consumers, and belongs to the field of cigarette evaluation. A large-sample consumer communication discussion is carried out from the angle of consumers; intrinsic quality index and external quality index of cigarette are summarized; and the indexes are screened through discussion of experts. The consumers score importance of the screened indexes, so that the weight factor of each index can be calculated. Then the consumers smoke standard sample cigarette and test sample cigarette according to the indexes to score overall similarity; and finally, the total score for evaluating the overall similarity of the homogenization of the cigarette product quality by the consumers is calculated, and whether the brand permissible production quality homogenization is evaluated to be qualified, superior-grade or well-grade is judged by using the total score. The method has the advantages of solving the problem of evaluating cigarette quality in the cigarette product homogenization evaluation system by consumers and contributing to promoting and improving the level of a homogenization production technology of a cigarette product.

It is a stable image telescope test method and its device through electrical imaging means. The method is to use image entropy to evaluate the stability of image and to draw the test curve of the image entropy to evaluate the stability of the image system. The test device is to fix the telescope on the vibration bench and to fix the image sensor on one drawtube end of eye observation position of the telescope and to fix the imaging calibration board on the field of vision of the telescope and to join the image sensor to the computer through A / D converter card, wherein, the imaging calibration board is composed of black and white strips distributing along level and vertical direction.

The invention discloses an island garbage transfer station site selection optimization method based on multi-attribute decision, and aims to solve the problem that small offshore island garbage treatment is a worldwide problem all the time, and in the past, a local landfill measure is adopted for treatment, which can bring potential hazards to the local environment. At the present stage, island garbage is transported to a transfer station and then transferred to a different place for treatment. However, there is no complete island garbage transfer station site selection evaluation standard and method at present. Therefore, the invention provides the island garbage transfer station site selection optimization method based on the multi-attribute decision. The site selection of the island garbage transfer station needs to consider evaluation standards of multiple dimensions at the same time, such as an environmental standard, an economic standard, a social standard and a technical standard, so that the site selection of the island garbage transfer station is considered as a multi-attribute decision problem. The method focuses on the site selection of the island garbage transfer station, considers the evaluation standards of multiple dimensions, and selects a proper island garbage transfer station through an effective multi-attribute decision method.

The invention discloses a talent evaluation model system and method scheme, and particularly relates to the technical field of talent evaluation and management. The technical scheme of the invention is that the talent evaluation model system comprises a server, a terminal computer and a software module; the software module comprises a talent demand module, a talent evaluation module, a talent search module, a recommended talent detailed display module and a document export module; the recommended talent detailed display module comprises a talent display module and a talent recommendation module; and the talent demand module is connected with the talent evaluation module, the talent evaluation module is connected with the talent recommendation module, the talent recommendation module is connected with the document export module, the talent demand module is connected with the talent search module, and the talent search module is connected with the talent display module. The method has the beneficial effects that the problem of regional talent evaluation is solved, talent ranking and the like in a certain region are obtained, and the talent conditions of all regions, provinces and cities can be known conveniently.

The invention discloses a quality traceability management method for the whole production process of carbon anodes for aluminum. By assigning physical identity attributes to carbon anodes, the matching and correlation of information including process parameters in the production and use of carbon anodes and time correspondence are realized; through the development of identity Endow physical attributes with machine vision recognition equipment to realize the tracking of physical attributes; through the means of developing system software, complete the storage, conversion and preprocessing of production process information data; finally, through data mining and machine learning, establish the quality of carbon anode production process system prediction model. Through the development of the above-mentioned related devices and system development, the present invention can optimize the technical parameters of the production process, realize the precise correspondence and association between the process data and the anode production batches, and find out the cause of the problem if there is an anode and quality problem, and solve the problem. Adjust in time to improve the quality of anode production, reduce the unqualified rate, and increase the rate of first-class products.

The invention discloses to a triaxial magnetic leakage inner detection line signal determination method for girth joint crack defects of a pipeline, and relates to the technical field of magnetic variable and pipeline system measurement. The method for determining the dimensions of the girth joint crack defects of the pipeline comprises the following steps: 1, an axial signal is a monopulse wave, the waveform direction of the axial signal is opposite to a metal increase signal direction, and there is an index relation between a defect depth d1 and a signal height amplitude h1, that is, the formula of the index relation is d1=0.60*h1^0.40; 2, a radial signal is a bidirectional pulse wave, the waveform direction of the radial signal is opposite to the metal increase signal direction, and there is an index relation between a defect depth d2 and a signal height amplitude h2, that is, the formula of the index relation is d2=0.30*h2^0.45; and 3, a defect depth d which is an average of the depths obtained in step 1 and step 2, that is, the calculation formula of the defect depth is d=1 / 2(d1+d2). The triaxial high-definition magnetic leakage inner detection line signal characteristic is utilized to determine the dimensions of the girth joint crack defects of the pipeline.

The invention provides an urban and rural black and odorous water body blackness evaluation method. The method comprises the following steps: step 1, obtaining a color image of an RGB space of a black and odorous water body river channel; 2, converting a color image of an RGB space of the river channel image into an HSV color space; 3, performing image main color feature extraction on the HSV color space by using a K-means clustering method; 4, sorting main colors, and returning the RGB data of the image; 5, introducing a gray model to calculate a main color gray value Gray; and 6, analyzing the closeness degree of R / G / B three-color channels and black, and judging the blackening condition of the water body. The method is an independent evaluation method capable of judging blackening and blackening degree of the water body, so that the evaluation accuracy of the blackening degree of the water body is improved.

The invention discloses a detection method of food processing machine wall breaking rate. The detection method comprises following steps: a material sample is delivered through a preset multi-layer screen mesh and a preset screening instrument for filtering of the material sample, wherein the material sample is obtained through wall breaking processing of a raw material using a food processing machine; after filtering, the dry basis protein content of filter residue on each layer of the preset multi-layer screen mesh, and the volume ratio of the filter residue on each layer of the preset multi-layer screen mesh in the total filter residue are obtained; and the food processing machine wall breaking rate is calculated based on the layer number of the preset multi-layer screen mesh, the dry basis protein content of filter residue on each layer of the preset multi-layer screen mesh, the volume ratio of the filter residue on each layer of the preset multi-layer screen mesh in the total filter residue, and a preset wall breaking rate calculating formula. The detection method can be used for measuring the wall breaking rate in soybean milk food processing process; operation is simple; human factor influence is low; the stability is high; and an evaluation problem of soya-bean milk machine wall breaking rate is solved.