53results about How to "Evaluation science" patented technology

The invention discloses a vegetation resistance and resilience evaluation system and method under drought stress, and belongs to the field of global change ecology research. Comprising the following steps: collecting related data of vegetation resistance and restoring force by using a data collection module, and inputting the related data of vegetation resistance and restoring force into a data storage module for storage, a vegetation physiological index processing sub-module, a vegetation structure index processing sub-module and a vegetation function index processing sub-module in the data processing module are called to process the collected and stored data; and calling a lag accumulation correlation coefficient calculation sub-module, a vegetation resistance index and restoring force index evaluation model sub-module and a vegetation resistance and restoring force grade division sub-module in the analysis and evaluation module, and finally outputting vegetation resistance and restoring force evaluation grades. According to the method, comprehensive, systematic and accurate evaluation and grading can be carried out on the resistance and the restoring force of the vegetation under drought stress, the vegetation which is difficult to resist drought or is restored after drought stress in the evaluation area is effectively identified, and the method is simple to operate and easy to realize.

The invention relates to an immune humanized liver cancer patient-sourced xenotransplantation mouse model and a construction method and application thereof, and belongs to the technical field of medical research and biologication.The immune humanized liver cancer PDX model is innovatively constructed by optimizing transplantation of tumor tissues and introducing and screening immune cells, and the model has the advantages of being high in specificity, high in sensitivity and high in reliability. The defects of a traditional PDX model in immune system and immunotherapy evaluation are overcome. The model has tumor characteristics of liver cancer patients and a functional human immune system, has reliable immune response and anti-cancer treatment evaluation capability, and provides scientific and reliable model support for research and screening of novel liver cancer immunotherapy.

The invention discloses an energy efficiency evaluation method for an ammonia-coal co-combustion power station boiler, and belongs to the technical field of boiler energy efficiency analysis. Comprising the following steps: step 1, establishing an energy efficiency evaluation index system of the ammonia-coal co-combustion power station boiler; step 2, establishing a fuzzy matrix of the ammonia-coal co-combustion boiler; 3, determining a weight coefficient of an evaluation index in the energy efficiency evaluation index system by adopting an entropy weight method; step 4, performing step-by-step evaluation on the energy efficiency evaluation index system by adopting a multi-stage fuzzy comprehensive evaluation method, calculating a final score and determining an evaluation grade; according to the energy efficiency evaluation method for the ammonia-coal co-combustion power station boiler, multi-index and multi-factor conditions in the dynamic operation process of the ammonia-coal co-combustion power station boiler are fully considered, the ammonia-coal boiler can be scientifically and accurately evaluated, meanwhile, calculation is kept simple and convenient as much as possible, and a new evaluation criterion is provided for evaluating the overall operation effect of a boiler system.

The invention discloses a simulation experiment device for migration and transformation of pollutants in water and soil media and an evaluation method, and relates to the field of pollutant migration and pollution remediation in environmental media such as natural resources and ecological environments, and the simulation experiment device can independently simulate one scene for simulation and can also perform combined simulation on multiple scenes. The simulation scene is closer to the real condition, the water and soil environment medium condition is simulated more truly, especially, design is carried out for a large number of dominant channels and lenticules existing in the stratum, the simulation effect is more scientific and accurate, trace indexes are introduced according to the pollutant property, a pollutant migration evaluation model is established, and the method has the advantages of being high in practicability and easy to popularize. Therefore, the aim of scientifically and comprehensively evaluating the influence of the pollutants on the environmental medium is achieved, the pollutant migration evaluation method can effectively evaluate the pollutant migration path and the potential pollution area, the pollution range can be more scientifically described, and the evaluation method can provide effective theoretical support for pollution investigation and restoration.

The present invention belongs to the field of construction site safety technology, specifically a construction site construction safety assessment system, the system includes: a scene reconstruction design module, a data perception module, a data communication module and a data processing module. The present invention has the beneficial effects of being able to realize real-time, accurate and comprehensive data collection and transmission of construction sites, improving the data quality and timeliness of construction safety assessments; being able to realize clear, intuitive and dynamic scene reconstruction and display of construction sites, improving the visualization and interactivity of construction safety assessments; being able to realize scientific, objective and consistent risk analysis and assessment of construction sites, improving the systematicness and reliability of construction safety assessments; being able to realize efficient, accurate and intelligent design and construction optimization and adjustment of construction sites, improving the optimization and automation of construction safety assessments.

The invention discloses a speed regulation ratio evaluation method for a bladeless fan. The speed regulation ratio evaluation method comprises the steps that S1, the tested bladeless fan is placed in a test room; s2, arranging a plurality of anemometers in array distribution in front of the air supply outlet of the bladeless fan, wherein the blade planes of all the anemometers are parallel to the air supply outlet plane of the tested bladeless fan; s3, the bladeless fan is started, the bladeless fan runs under the rated voltage and the rated frequency, and if a head shaking mechanism exists, the head shaking mechanism is closed; s4, the bladeless fan speed regulator is arranged at the highest wind speed gear, and the measured wind speed vmh of the highest wind speed gear is obtained through measurement; s5, the bladeless fan speed regulator is arranged at the lowest wind speed gear, and the measured wind speed vml at the lowest wind speed gear is obtained through measurement; and S6, the ratio of the measured wind speed vml at the lowest wind speed gear to the measured wind speed vmh at the highest wind speed gear is calculated, and the speed regulation ratio of the bladeless fan is obtained. According to the method, the performance index evaluation of the speed regulation ratio of the bladeless fan can be scientifically and accurately evaluated.

The invention discloses a farmland abandoned risk comprehensive assessment and prediction method and device and a medium, and relates to the technical field of computers, and the method comprises the steps: obtaining a data source of a to-be-detected region, obtaining an abandoned farmland extraction result through data preprocessing, time sequence data synthesis and machine classification learning, further determining abandoned farmland pattern spots of the to-be-detected region, and obtaining abandoned farmland image spots of the to-be-detected region. Determining the abandoned farmland rate according to the abandoned farmland pattern spots, carrying out the assignment of the abandoned farmland risk indexes according to the abandoned farmland rate, carrying out the comprehensive evaluation of the abandoned farmland risk, and determining the abandoned farmland risk grade; determining a regression coefficient based on a cultivated land abandoned rate and a cultivated land abandoned risk index assignment result by using a logistic regression model; determining the contribution rate of the abandoned farmland risk index to the abandoned farmland based on the regression coefficient; and predicting the abandoned farmland risk based on the regression coefficient and the contribution rate. According to the invention, scientific, effective, comprehensive and real-time comprehensive assessment and prediction can be carried out on the abandoned farmland risk.

The invention discloses a weld defect detection system and method based on target recognition, and the system comprises an image preprocessing module, a weld defect analysis module and a weld quality analysis module, relates to the technical field of image processing, and solves the problem that data formats and types obtained by different detection methods are different. In order to solve the technical problems of difficulty in effective integration and comprehensive analysis and proneness to erroneous judgment and missing judgment in the prior art, an image preprocessing module carries out graying, image enhancement and denoising processing on a weld seam image, so that the characteristics of weld seam defects can be highlighted, and the definition and contrast of the image are improved; according to the method, more accurate image data is provided for subsequent defect analysis, the image data is combined with historical data, and the relationship among defect types, gray features, defect reasons and the like is established by sorting and analyzing a large amount of historical data, so that the welding seam quality is evaluated more scientifically.

The invention discloses a supplier evaluation method and equipment based on a data sharing mechanism, and a medium, belongs to the technical field of supply chain management, and aims to solve the technical problem of how to realize data sharing and intercommunication among different service systems, carry out comprehensive, scientific, objective and accurate grade division on suppliers, and improve the evaluation efficiency of the suppliers. In order to improve the efficiency and effect of supply chain management, the technical scheme adopted by the invention comprises the following steps of: constructing a data sharing platform: according to sharing requirements among departments, integrating data resources of each business system according to a unified format, and taking a standardized data directory and data resources as a basis; according to assessment rules and requirements, different evaluation indexes are selected, scheme making is completed, a weight is distributed for evaluation factors in an evaluation index system, and the importance of the evaluation factors in comprehensive evaluation is reflected; establishing an assessment personnel pool, and randomly distributing assessment personnel for different suppliers; performing assessment scoring and data collection; performing comprehensive scoring; and grade calculation and assessment result application.

The invention discloses an ecological economic value evaluation method based on data analysis, and relates to the technical field of value evaluation.The method comprises the steps that during operation, multi-dimensional data related to an ecological system is collected, ecological resource utilization efficiency data, environmental protection contribution situation and environmental loss data are obtained, the collected multi-dimensional parameters are preprocessed, and the value of the ecological economic value is evaluated; a resource utilization benefit coefficient Rutil, an environment protection contribution coefficient Penv, an environment loss coefficient Eloss and an ecological economic value evaluation index Stjj are calculated, the ecological economic value evaluation index Stjj is compared with a preset first threshold V and a preset second threshold B, the future development direction and potential risks are evaluated, an ecological economic value evaluation report is automatically generated, and the ecological economic value evaluation efficiency is improved. The content of the report comprises detailed analysis of each coefficient, a trend analysis result, an ecological economic value evaluation index Stjj and a comparison result with a preset threshold value, the report adopts a form of combining charts, data and characters, and the evaluation result is visually displayed.

The invention discloses an express delivery network operation evaluation method, and the method comprises the steps: obtaining express delivery network operation data, which is used for obtaining an evaluation factor set affecting the operation of an express delivery network and the historical operation data of the express delivery network; determining a feature data set according to the evaluation factor set influencing the operation of the express network; building a website operation evaluation model, training the website operation evaluation model by using the feature data set and the website historical operation data, and determining the trained website operation evaluation model; inputting the historical operation data of the express delivery network into the network operation evaluation model to output a network operation evaluation result; and adjusting related parameters of the network operation evaluation model based on the evaluation result. According to the method, the evaluation factors influencing operation can be determined, the operation state of the express delivery network can be effectively and accurately evaluated through the operation data, and meanwhile, the express delivery network with the poor operation state can be effectively supervised and optimized.

The invention discloses a method and system for detecting the internal quality of a polyethylene pipeline hot-melt welding joint, and belongs to the technical field of pipeline quality detection.The method comprises the following steps that before a tensile test is carried out, ultrasonic quality detection is carried out on a casual inspection joint of a polyethylene pipeline set to be detected; dynamically determining an initial tensile rate based on the material grade and the material attribute parameter of the to-be-tested polyethylene pipeline group, and executing a first tensile test at the initial tensile rate; iteratively and dynamically adjusting the tensile rate of the tensile test of the next casual inspection joint based on the tensile test result of the previous casual inspection joint until the tensile test of each casual inspection joint is completed; dynamically executing fracture quality detection based on the fracture position and the fracture characteristic parameter of each spot check joint to obtain a fracture quality detection result of each first joint; and executing internal quality comprehensive detection based on the ultrasonic quality detection result, the fracture quality detection result and the tensile test result of each first joint.

The invention belongs to the field of aerospace technology, and relates to a comprehensive assessment method for collision risk of a low-orbit supergiant constellation. The method comprises the following steps: standardizing parameters of different dimensions based on fuzzy set theory, and constructing a satellite data factor set with a unified unit; performing hierarchical decomposition on each indicator based on a hierarchical analysis method, and determining the indicator weight; performing fuzzy evaluation on each single indicator, and constructing a fuzzy evaluation matrix and an evaluation set; integrating the fuzzy evaluation results of multiple single factors into a comprehensive evaluation result, and establishing a comprehensive evaluation model; using the established comprehensive evaluation model, performing an overall assessment on the collision analysis of each satellite, and obtaining a collision warning comprehensive score; the invention combines multiple satellite collision risk parameters into a single risk measurement value through a fuzzy comprehensive evaluation method, thereby improving the scientificity and reliability of the assessment result, and providing a systematic and comprehensive assessment framework for collision warning of a low-orbit supergiant constellation.

The invention provides a salted pork quality evaluation method based on flavor substance analysis, and the method comprises the following steps: S1, measuring the content of characteristic flavor substances of to-be-detected salted pork, taking OAV of the characteristic flavor substances as an independent variable, taking the flavor difference between the to-be-detected salted pork and representative Zhenjiang salted pork as a dependent variable, and adopting an OPLS-DA method to establish a discrimination model, obtaining a VIP value graph and a standardized regression coefficient graph; and S2, according to the positive and negative correlation of the characteristic flavor substance indexes in the standardized regression coefficient graph in the step S1, referring to the VIP value graph, taking the obtained VIP value as the weight of each characteristic flavor substance index, and adopting a weighted TOPSIS analysis method improved based on a grey correlation coefficient to finally obtain a relative closeness value. According to the method, the internal quality of the salted pork can be comprehensively evaluated, subjective assume is effectively eliminated, the reliability and accuracy of the evaluation result are enhanced, and a basis can be provided for quality control and protection of georationally marked products.

The application discloses a traffic network key facility location method based on reinforcement learning and cascade kinetics, and belongs to the technical field of intelligent traffic network, and solves the problem that the traditional method is not accurate in identifying key nodes and is easy to fall into local optimization. The method comprises the following steps: a weighted complex network is constructed based on a road network, intersections are taken as nodes, road sections are taken as edges, multi-dimensional characteristics such as traffic capacity, location and risk are fused, and the entropy weight method is used to objectively distribute node weights; a cascade kinetics model based on an improved coupled map lattice is established to simulate the dynamic propagation and amplification process of disturbance in the network; a residual network is taken as a state, node removal is taken as an action, and network efficiency loss is taken as a reward, a reinforcement learning model is trained, and a node failure strategy that makes the whole network efficiency decrease the most is learned end to end; and key node sets are selected in sequence according to Q values, and the key node sets are taken as facility preferential deployment positions. The application realizes precise location of global optimization, and significantly improves road network resilience.

The invention provides a method for evaluating the overall feeling of smoke in a cigarette heating environment. The method is used for evaluating the five aspects of thorn, peculiar smell, tobacco flavor, choking and smoking of the smoke in the cigarette heating environment. The evaluation method provided by the invention can be used for scientifically evaluating the overall feeling of the environment smoke of the heated cigarette.

This invention discloses a multi-scenario competitive analysis method for AI-powered intelligent marketing, belonging to the field of competitive analysis technology. The method includes: S1, collecting multi-source data from the entire AI-powered intelligent marketing process and preprocessing it to obtain a structured feature matrix X; S2, dividing the multiple scenarios of AI-powered intelligent marketing into 5 core scenarios and key indicators; S3, combining real-time scenario popularity and indicator importance, proposing a scenario-indicator dynamic weight calculation method to generate a scenario-indicator dynamic weight matrix W; S4, using a Transformer model, inputting the feature matrix X and the dynamic weight matrix W, and outputting three tasks; S5, based on the advantage scores output by the competitive advantage assessment task, constructing an advantage heatmap, and generating differentiated strategies. The multi-scenario competitive analysis method for AI-powered intelligent marketing provided by this invention achieves accurate adaptation to multiple scenarios, better supporting enterprise marketing decisions.

The application provides a method, system, device and medium for screening a region suitable for low-altitude logistics layout, relates to the fields of low-altitude economy and geographic information, and comprises the following steps: acquiring navigation electronic map data, DEM elevation data and administrative division data, calculating the average altitude of each township based on the DEM elevation data and the administrative division data of the whole country to generate a preliminary screening region; calculating the elevation characteristics and slope characteristics of each road in the preliminary screening region by using the DEM elevation data to form a road elevation-slope characteristic data set; calculating the road bypassing coefficient, the number of sharp bends and the convenient accessibility index in the preliminary screening region based on the road elevation-slope characteristic data set and the navigation electronic map data, and constructing a road traffic obstacle index set; and evaluating the road traffic obstacle index set by using the analytic hierarchy process, and screening a region suitable for low-altitude logistics layout according to the evaluation result.

This application relates to the field of soil and water conservation carbon sequestration technology, providing a method and apparatus for calculating carbon sequestration based on temporary measures. The method includes: obtaining soil erosion and soil organic carbon content in the production and construction project area; determining protective effectiveness parameters according to the type of temporary measures for the production and construction project; and determining the carbon sequestration amount of the temporary measures for the production and construction project based on soil erosion, soil organic carbon content, and protective effectiveness parameters. This application proposes a carbon sequestration calculation scheme for temporary protective measures during the construction period of production and construction projects, which can more comprehensively and scientifically assess the carbon sequestration benefits of production and construction projects. Furthermore, it can dynamically determine the corresponding protective effectiveness parameters according to different types of temporary measures, which fully considers the physical differences in sand reduction and erosion prevention mechanisms of various temporary measures, making this method universally applicable to temporary protection systems under various complex construction scenarios.

The present application relates to the technical field of coal mine roadway supporting, and provides a repeated impact test evaluation method for surrounding rock control effect of coal mine spraying supporting material, which comprises the following steps: determining a data characteristic vector according to repeated impact test data of surrounding rock of the spraying supporting material and surrounding rock of the non-spraying supporting material, inputting the data characteristic vector into a repeated impact test evaluation model, outputting a repeated impact test control effect probability distribution vector from the repeated impact test evaluation model, and determining a repeated impact test control effect grade according to the repeated impact test control effect probability distribution vector, so that scientific evaluation of long-term mechanical properties and protection effect of the surrounding rock of the spraying supporting material under the action of repeated dynamic and static combined load can be realized, the performance evolution law of the spraying material under the condition of cyclic impact can be accurately revealed, and reliable experimental basis and technical support can be provided for impact-resistant supporting design of deep high-impact risk roadway.

The present invention provides a method, medium and system for optimizing the surface smoothness ratio of civil engineering concrete of substation facilities, belonging to the technical field of concrete ratio, including: firstly, collecting the physical and chemical property data of raw materials such as cement, sandstone, admixture, etc., establishing a concrete surface smoothness evaluation model, and comprehensively considering parameters such as surface roughness, flatness, glossiness, etc. On this basis, designing a small-scale indoor test to simulate engineering conditions, using computer image analysis to obtain the measured surface smoothness index under different ratios, and fitting and optimizing the model. Using computer-aided ratio design software to generate multiple groups of optimized ratios, using orthogonal test method to carry out pilot experiments, and further optimizing the fitting model. Finally, field tests are carried out in actual engineering, and the ratio with the best smoothness index is selected as the final optimization result. The technical problem that it is difficult to obtain the optimized ratio of concrete surface smoothness due to relying on the subjective experience and trial and error of engineering personnel is solved.

This invention discloses a method and apparatus for constructing an event prediction model for a multi-infrastructure system. The method involves collecting basic data from each infrastructure component within the system; simulating the basic data of each infrastructure component to obtain operational data; coupling the spatiotemporal graph networks constructed from the infrastructure components to establish a spatiotemporal graph network model; and performing transfer training on the spatiotemporal graph network model based on the operational data and real-time monitoring data to obtain the event prediction model. The event prediction model constructed using this method can scientifically and accurately assess and predict the response and evolution of the multi-infrastructure system during events, and assist in the response and handling of urban disaster events.

The invention provides a method and system for detecting water swelling of a macromolecular water-absorbing material, and relates to the technical field of expansion rate detection.The method for detecting the water swelling of the macromolecular water-absorbing material comprises the following steps that the macromolecular water-absorbing material is prepared; performing three-dimensional scanning on the polymer water-absorbing material through a laser scanning technology to obtain initial three-dimensional point cloud data; calculating the water absorption rate of the polymer water-absorbing material; performing three-dimensional scanning on the polymer water-absorbing material subjected to water-absorbing expansion treatment through a laser scanning technology to obtain final three-dimensional point cloud data; carrying out expansion rate analysis on the polymer water absorbing material; and evaluating the water absorption expansibility of the high-molecular water absorption material according to the water absorption rate and the expansibility of the high-molecular water absorption material. According to the method, the water absorption rate and the expansion rate of the high-molecular water-absorbing material can be accurately evaluated, and the behavior of the high-molecular water-absorbing material can be deeply researched, so that the development of a new material and the improvement of an existing material are promoted.

The application discloses a kind of to beat leaf redrying finished product sheet tobacco comprehensive quality characterization method, comprising:1 collection the leaf redrying quality index of the nth processing batch,2 to leaf redrying quality index sequence is pretreated,3 using KMO test and Bartlett sphericity test respectively to the applicability of standardized data verification,4 calculate the correlation coefficient matrix of all processing batch leaf redrying quality index,5 calculate the eigenvalue and unit eigenvector of correlation coefficient matrix,6 calculate cumulative variance contribution rate, determine the number of principal components and calculate principal component score,7 calculate the nth processing batch to beat leaf redrying sheet tobacco finished product comprehensive quality score.The application can quantitatively, objectively, accurately characterize the comprehensive quality of beat leaf redrying finished product sheet tobacco, so as to solve the deficiency that traditional evaluation index is single and relatively rough.

The invention provides a characteristic chromatogram construction method and application of a traditional Chinese medicine composition, and the characteristic chromatogram construction method of the traditional Chinese medicine composition comprises the following steps: obtaining a characteristic chromatogram of a test sample by adopting a high performance liquid chromatography; chromatographic conditions of the high performance liquid chromatography are as follows: a chromatographic column is a TC-C18 chromatographic column; the detection wavelength is 190 to 240 nm; acetonitrile is used as a mobile phase A, a phosphoric acid solution is used as a mobile phase B, and a specific gradient elution procedure is adopted for elution; the traditional Chinese medicine composition is a traditional Chinese medicine compound composition comprising semen cuscutae, herba taxilli and radix dipsaci. According to the method disclosed by the invention, effective separation of various chemical components is realized, relatively more chromatographic peak information is obtained, and comprehensive evaluation and comprehensive control of overall quality of internal characteristic components of the traditional Chinese medicine compound composition including semen cuscutae, herba taxilli and radix dipsaci such as the longevity pill are realized.

The present application relates to the technical field of deep granite geothermal, and discloses a calculation method for evaluating deep granite geothermal potential, which comprises the following steps: according to the content of three types of radioactive heat generating elements, i.e., uranium, thorium and potassium, in the rock mass, and in combination with the element radioactive heat generation rate parameter, the radioactive heat generation rate of the rock mass is calculated; then, zircon single minerals are selected from the rock mass sample and are made into targets; the closure time of the zircon U-Pb isotope system and the fission track is measured; in combination with the radioactive heat generation rate, the two types of closure time and the specific heat capacity of the granite, the total sum of the multi-cycle cooling crystallization delay time generated by the continuous accumulation of the radioactive heat generation is calculated; meanwhile, the radioactive cause heat of the granite is less than the cooling conduction and dissipation heat, so that the delay time is ensured to be a convergent analytic function; and finally, according to the cooling crystallization delay time, the deep granite geothermal potential is evaluated. The present application quantitatively inverts the radioactive cause heat of the deep granite, scientifically and accurately evaluates the geothermal potential, and provides a reliable basis for the exploration and development of geothermal resources.

The invention belongs to the technical field of bridge model testing, and discloses a bridge model bearing capacity tester which comprises a base, a fixed cylinder is fixedly mounted at the top end of the base, and a display screen movably sleeves the surface of the top end of the fixed cylinder. According to the method, the load of the bridge model is gradually increased by manually or electrically controlling the manual pressing assembly and the pressing platform, pressing is stopped until the bearing value reaches the maximum value and begins to be reduced, and finally the load of the bridge model is gradually increased by manually or electrically controlling the manual pressing assembly and the pressing platform, so that the load of the bridge model is gradually increased without using a water adding mode. The bridge model can be tested by adjusting the length of the bridge model, the maximum self-weight load and span of the bridge model can be measured, displayed and recorded efficiently, quickly and conveniently, scores can be automatically generated after measurement is finished, student works can be scientifically and comprehensively evaluated, and the starting position of span measurement can be adjusted according to the length of the bridge model.

The embodiment of the invention provides a method and system for evaluating the influence degree of a target substance on gastric mucosa, and belongs to the technical field of bionic evaluation. The method comprises the following steps: determining a corresponding stomach environment in a bionic stomach to obtain a stomach model; wherein culture cells of gastric mucosa epithelial cells are added into the bionic stomach; after the target substance is placed in the bionic stomach, the stomach model is driven to start digestive movement based on the movement parameters; and after a predetermined period, collecting digestion result information in the stomach model, performing assignment of each evaluation index based on the digestion result information, and determining an evaluation result of the influence degree of the target substance on the gastric mucosa based on each evaluation index after assignment. According to the scheme, the defect that the action of movement force on cells is neglected in two-dimensional cell culture is overcome, the problems of ethical limitation and hysteresis of traditional animal experiments are solved, a more personalized and accurate evaluation means is provided, and the influence of substances on gastric mucosa can be evaluated more scientifically.

The invention provides a real-time bidding and tendering data intelligent analysis system and method, and relates to the technical field of data analysis and bidding and tendering, and the system comprises a data collection module which is responsible for obtaining data from a plurality of bidding and tendering platforms in real time; the data preprocessing module cleans the received data and removes repeated, abnormal and incomplete data records; the index calculation module calculates a bidding activeness index, a price rationality index and an enterprise competitiveness index of a bidder based on the preprocessed data; the comprehensive evaluation module obtains a comprehensive evaluation index of each bidding party by using a preset evaluation model according to the indexes; and finally, deeply analyzing the comprehensive evaluation index by a visual analysis module, and displaying the ranking of each bidding party through a visual tool. According to the method, the data analysis efficiency and the decision support capability in the bidding and tendering process are improved, and better service experience and economic benefits are provided for all parties participating in bidding and tendering.

The invention belongs to the technical field of marine shafting transmission device couplings, and particularly relates to a high-precision static balance test bed and method for shafting transmission equipment, the test bed comprises a hydraulic bearing and a static balance tool, and the hydraulic bearing is composed of a bearing seat and a bearing bush installed in the bearing seat; the two ends of the static balance tool are of columnar structures, the static balance tool is in clearance fit with a bearing bush of the hydraulic bearing, stable rotation is achieved through supporting of the hydraulic bearing, the hydraulic bearing is provided with an oil duct, external oil is introduced into the gap between the bearing bush and the columnar structures, a stable liquid oil film is formed, rotation is supported, friction is reduced, and precision is ensured. The coupling is formed by sequentially connecting a first supporting shaft, a plurality of stepped shafts and a second supporting shaft in series in the axial direction, the static balance tool is sleeved with the coupling, the coupling and the static balance tool rotate coaxially, and the coupling is located between the hydraulic bearings. The problems that an existing test bench is insufficient in test precision, poor in structural adaptability and low in stability are solved, and the detection precision, the structural adaptability and the vibration resistance are remarkably improved.