233results about How to "Evaluation science" patented technology

The invention relates to the field of expansion planning and safety analysis on electrical power systems. In order to provide a systematized method and a relatively perfect assessment process for the safety assessment on a planning scheme, the technical scheme adopted by the invention is as follows: a method for assessing a safety value of a planning scheme for an electrical power system containing large-scale wind power comprises the following steps: 1, establishing a power supply-power grid unified planning model for taking account of static and dynamic safety values of the system; 2, beginning to carry out detailed operation simulation on candidate planning schemes; 3, after units are combined, carrying out safety assessment on the system time interval by time interval; 4, carrying out comprehensive safety control optimization on an contingency set by using a 'positive constraint and relaxation method' so as to obtain the optimal division of a preventive control contingency set and an emergency control contingency set; and 5, obtaining the total cost of the planning scheme, and taking the total cost as a basis for evaluating the planning scheme. The method disclosed by the invention is mainly applied to the expansion planning and safety analysis on the electrical power systems.

The invention provides a receiving-end network voltage stabilization overall process situation assessment and prevention and control method based on responses. The method comprises the steps of S1, obtaining various off-line simulation data or real-time measuring data; S2, constructing equivalent power transmission models of nodes according to node practical transfer power; S3, obtaining a node quiescent voltage stability margin index Vsi of equivalent power transmission model parameters of each node; S4, constructing a node reactive compensation assessment index according to the equivalent power transmission model parameters of each node; S5, setting an early warning threshold value Ncr of the node quiescent voltage stability margin index, and calculating a load shedding estimation of a weaker node when the quiescent voltage stability margin index Vsi of each node is smaller than the Ncr. According to the receiving-end network voltage stabilization overall process situation assessment and prevention and control method based on the responses, a weak node or a weak area in a current operating mode can be found out, a rapid estimation of reactive compensation levels and load shedding of each node is achieved, and the method can be widely applied to the fields of power network planning and online security monitoring.

The invention relates to a human-body health function-status evaluating model, relates to an evaluating method for comprehensively evaluating the functional level of a human body and belongs to the category of health evaluation. The construction of the evaluating model comprises the establishment of seven modules, i.e. a brain-cognizing function module, a metabolic function module, a traditional-Chinese-medicine symptom-identifying module, a psychological function module, a social-adapting function module, a cardio-pulmonary function module and a movement function module and the establishment of a specific testing project, an index system and a specific index under each module and a testing-project evaluating standard. The score evaluation of the whole module is finally obtained through each-step index evaluation, weight determination and calculation step by step. The integral comprehensive evaluation and the evaluating result of each module are all shown by corresponding evaluation reports. Functional-status levels in the aspects of physiology, psychology and social adaptation of the human body can be obtained through the health function-status evaluation of the human body, so that potential health hazards are found in advance, and intervention treatment is carried out as early as possible, so as to guarantee the physical and psychological function-status health of the human body.

The invention relates to a bionic examination robot for physical properties of food and an examination method thereof. The bionic examination robot comprises a control device and a bionic oral cavity, wherein the bionic oral cavity is composed of a palate and a chin, upper teeth of the palate is matched with lower teeth of the chin; the top part of the palate is fixed to the upper part of a frame, the bottom part of the chin is fixed to a movable platform, the movably platform is connected with a pedestal of the frame via a plurality of ball pairs-movable pairs-ball pair mechanisms; a plurality of sensors are arranged at different positions inside the oral cavity; and the control device controls the movement of the moveable pairs, and receives data from the sensors and stores and processes the data. The bionic examination robot can evaluate the physical properties of food scientifically, accurately and objectively, and the examination method can take the place of traditional food evaluation methods in which identification of a texture analyzer and sensuous identification are combined, thereby not only reducing examination cost and enhancing examination efficiency, but also enhancing examination accuracy, thus a scientific theoretical basis is provided for the processing and the development of food.

The invention relates to the fields of environmental science, environmental risks and environmental management, in particular to an evaluation method for comprehensively evaluating the pollution risks of ground water by utilizing multi-index and spatial visualization technologies. The vulnerability of the local ground water, the value of the ground water, the characteristics of a pollution source and the risk evaluation of population health are integrated, and a geographic information system (GIS) platform is used for configuration representation to visually evaluate the pollution risks of the local ground water, so that evaluation accuracy is improved, and an evaluation result can be conveniently and directly felt. The method comprises the following steps of: (1) selecting main factors for pollution to the local ground water, such as the vulnerability of the ground water, analysis on the pollution source, the value evaluation of the ground water and health risks, establishing a multi-index local ground water pollution risk evaluation index system, and evaluating the risks of local pollution, particularly local characteristic pollutants by adopting a corresponding method; and (2) superposing local ground water pollution risk indexes on the basis of a GIS graphic technology to obtain a risk graph. Therefore, the pollution risks of the local ground water are visually evaluated.

The invention relates to an equipment health state assessment and prediction method based on industrial big data. The method comprises the following steps of S1, extracting sample data capable of representing the whole degradation process of equipment from an equipment state monitoring system; S2, performing effective preprocessing on the sample data; S3, constructing a distributed support vectordata description model based on the Spark platform, and extracting a normal sample set; S4, measuring the deviation degree of the current sample through the Euclidean distance, further converting thedeviation degree into a health degree value, and drawing a health degree curve; S5, constructing an equipment health degree single-step prediction model based on the Spark platform; and S6, further expanding the single-step prediction method of the equipment into multi-step prediction. Compared with the prior art, the invention relates to the equipment health assessment and prediction method, objectively and accurately assesses the health state of the monitored equipment, predicts the future degradation trend of the equipment, and provides a theoretical basis for the fault management and maintenance work of the subsequent equipment.

The invention discloses a rainstorm disaster risk evaluation method for a foundation slope of a transmission line tower. The method comprises the following steps of: obtaining disaster causing factors controlling the rainstorm risk of the foundation slope of the transmission line tower according to extensive disaster statistics and artificial rain slope corrosion test statistics; and performing quantification and normalization processing on the disaster causing factors and slope stability, and calculating a weight vector of influence of each disaster causing factor on the disaster causing of rainstorm by adopting an improved hierarchical analysis calculation program; establishing a mapping relationship between the disaster causing factors and a slope stability safety coefficient by adopting an artificial intelligence method and an improved back propagation (BP) network to obtain a mathematical model for evaluating the rainstorm landslide risk of the foundation slope of the transmission power tower; quantifying vulnerability factors, obtaining a weight vector of influence of each vulnerability factor on the disaster causing risk of the rainstorm by adopting an expert analysis method, and establishing a rainstorm risk evaluation mathematical model for the foundation slope of the transmission line tower according to a relationship that the risk is equal to a product of danger and vulnerability; and accurately evaluating the rainstorm risk of the foundation slope of a specified transmission line tower.

The invention discloses a vertical lift safety evaluation method. An evaluation model is established based on a fuzzy mathematical modeling method and comprises a lift safety evaluation index system part, an index relative importance part and an index fuzzy evaluation standard part. The vertical lift safety evaluation method comprises the following steps of: establishing a hierarchical evaluation model of a safety evaluation index system of a general lift system; determining the index relative importance and determining the safety state fuzzy membership of the evaluation index; and calculating a comprehensive evaluation score F of the lift system so as to realize the lift safety evaluation according to the comprehensive evaluation score F and a corresponding safety level. The modeling evaluation method has the characteristics of successively splitting, refining and integrating, and an effective comprehensive evaluation conclusion can be formed according to the evaluation result of the evaluation index.

The invention relates to a detection method and a detection device of grouting reinforcement effect in a tunnel, belonging to the field of tunnel engineering. The detection method of grouting reinforcement effect in the tunnel comprises the following steps: horizontally and respectively drilling the detection device into tunnel headings before and after grouting by using a drilling machine; forming an elliptical pilot tunnel in soil mass; inflating and pressurizing the measuring gas chamber of the device, and detecting the displacement of the short axis and the long axis of the elliptical pilot tunnel under the pressure at all levels; computing mechanical parameters (coefficient KO of earth pressure at rest, Poisson ratio mu and elastic modulus E) of the soil mass before and after grouting according to the elasticity theory formula; comparing the mechanical parameters of the soil mass before and after grouting; and making a conclusion of the grouting reinforcement effect according to the variation of the mechanical parameters of the soil mass before and after grouting. The core component of the detection device is the measuring gas chamber which is composed of a tubular expanded inner cavity and a rubber expanded film, and after the device is drilled into the soil mass, the displacement sensor and the pressure sensor of the measuring gas chamber are used for detecting field data. The invention has simple operation and can quickly, quantitatively and scientifically evaluate the grouting reinforcement effect.

The invention relates to a static reactive power compensation device based on an energy method and a control method thereof, belonging to the technical field of power transmission and distribution. The invention comprises a mutual inductor group, a filtering and signal conditioning module, an A / D conversion module, a computing module, a memory module, a phase-locked loop circuit module, a communication module and a display and keyboard operation module. The invention can evaluate and analyze possibly potential dangers of a power grid by adopting energy function method, predict the influence on the stable operation of the power grid possibly resulted from faults by establishing an anticipated accident list, carry out scientific, effective and real-time analysis and evaluation on the power grid state and carrying out integral cognition on the power grid performance as complete as possible, thereby quantitatively evaluating the operation state level of the power grid; and the invention effectively avoids an algorithm from falling to local optimum by adopting an improved particle intelligent swarm algorithm based on a fuzzy control theory.

The invention belongs to the field of reliabilities of numerical control machine tools, and particularly relates to a precision reliability analysis method for a heavy numerical control machine tool based on a multi-body system kinemics theory. The precision reliability analysis method comprises the following steps: constructing a relation model between the output precision error of the heavy numerical control machine tool and a factor affecting the precision of the machine tool, fitting a change relation of the factor affecting the precision of the machine tool along with the time by a random process, finally combining on-site data or data of the same type of sample, and introducing a Bayes evaluation method to update the precision error model of the heavy numerical control machine tool, thus realizing evaluation of the precision reliability of the machine tool. The precision reliability analysis method has the beneficial effects that the Bayes evaluation method is introduced to fit and correct the change tendency of respective factors causing a motion precision error of the machine tool, so that the difficulty that a sufficient statistical sample cannot be formed due to a 'small sample' is solved; and therefore, more scientific and reasonable evaluation is performed on the dynamic reliability of the precision error of the heavy numerical control machine tool.

The invention provides a regional power grid wind power forecast evaluation method, the method comprises the steps of basing on the wind power forecasted actual power and the forecast power, calculating a base index and a regional system index of the error evaluation; principle component analyzing the base index and the regional system index, and selecting the efficient principle components; calculating the weighted coefficients of the efficient principle components; basing on the efficient principle components and the corresponding weighted coefficients to calculate an overall evaluation index. The method can from a variety of aspects evaluate comprehensively the forecast level of regional power grid wind power, and avoids the instability resulted from different ranks by multiple levels of indexes, can give a scientific, rational, and effective overall evaluation for wind farm power forecast level in regional power grid.

The invention discloses an AHP (Analytic Hierarchy Process) based intelligent electricity meter software quality evaluation method. The method comprises the steps of S1, building an intelligent electricity meter software quality evaluation index system; S2, building an intelligent electricity meter software quality evaluation model; S3, determining the relative weight of each evaluation index; S4, determining evaluation levels of the evaluation indexes and evaluation standards corresponding to the evaluation levels, and then determining a score of each evaluation index in a scheme layer; and S5, calculating a comprehensive score of the intelligent electricity meter software quality according to the score of each evaluation index and the relative weight of each evaluation index. According to the invention, the blank of the intelligent electricity meter software quality evaluation method is filled up, an evaluation system for the intelligent electricity meter software quality is established, the quality of software in electricity meters from different suppliers and of different versions can be evaluated comprehensively and scientifically, and then references are provided for evaluating the quality of software in intelligent electricity meters from different suppliers.

The invention discloses a system for distinguishing the stress of a driver based on electrocardiosignals and geographic information, which is characterized by comprising a photoelectric pulse sensor and a circuit part, and a micro controller is connected with a vehicle sensor and a GPRS or Beidou navigation system; whether the current driving state is secure is evaluated according to electrocardiogram information, vehicle operating state and traffic environment information acquired by the micro controller, and when the current driving state is insecure, an alarm is made; and the distinguishing method comprises the following steps: a) determining signal input; b) acquiring electrocardiosignals; c) calculating a RR interval; d) calculating the powers of high and low frequency bands; e) determining whether mutation occurs in the RR interval; f) determining whether the powers of high and low frequency bands exceed a threshold; g) acquiring traffic environment information; and h) making a voice alarm. According to the system and method disclosed by the invention, by using the combination of acquired electrocardiosignals and physiological indexes, the stress of the driver is distinguished, so that the driving safety status can be scientifically evaluated and forecasted, therefore, the system and method disclosed by the invention have remarkable beneficial effects, and are convenient for popularization and application.

The invention discloses a method for rapid measurement of the performance of a network card under the Linux, and relates to the technology of network performance tests. The method includes: executing commands uname-a, ethtool, and ifcongig under the linux operating system, grabbing detailed information of kernel version and the network card of the Linux system, installing a drive, configuring IPs of network interfaces, and restarting the network; connecting the network card and a corresponding interface of a network tester, opening the automatic forwarding function of the network interface, and closing the firewall; and setting a corresponding network interface at a terminal of the network tester, setting test parameters of the network card according to the RFC2544 network interconnection equipment performance test standard, and conducting rapid performance tests of the network card. According to the method, the complexity of the conventional network card test method is changed, the rapid tests in complete accordance with the RFC2544 network interconnection equipment performance test standard can be realized, the test time is saved, and the test results are more comprehensive and accurate.

The present invention provides a rain sewage storage tank operation efficiency evaluation method. The method comprises the following steps: a model construction step: establishing a rain sewage storage tank pipe network model according to basic data of a drainage pipe network; a data acquisition step: acquiring operating data of each node of the drainage pipe network, and writing the operating data into a corresponding node in the model; a parameter setting step: setting operating data before operation of a rain sewage storage tank or a design parameter of the rain sewage storage tank to be a reference parameter; an indicator calculation step: calculating a closure capability indicator, a flood drainage capability indicator and a utilization capability indicator according to the operating data of the rain sewage storage tank pipe network model; and an efficiency evaluation step: comparing the closure capability indicator, the flood drainage capability indicator and the utilization capability indicator with the reference parameter, so as to obtain an evaluation result. According to the method provided by the present invention, the overall operation efficiency of the rain sewage storage tank is comprehensively reflected by means of a multi-level indicator evaluation system, and the method can also be used for layout optimization of the rain sewage storage tank and operating mode optimization of the rain sewage storage tank in an operating stage.

The invention provides a comprehensive evaluation system of an industrial boiler energy saving scheme and a construction method thereof. The comprehensive evaluation system comprises three phases which are an early stage, a medium stage and a later stage, wherein in the early stage, indexes are established and weight distribution is performed; in the medium stage, fuzzy comprehensive evaluation of the step-by-step indexes is performed and a high-grade comprehensive evaluation result is output; and in the later stage, comprehensive evaluation system software is used to output an assessment result. By using the set of comprehensive and integrated evaluation system, an industrial boiler energy saving scheme is comprehensively evaluated from aspects of safety, energy saving, economy, generalizability and the like. An existing limitation of qualitative evaluation from a single aspect of energy saving is broken through, and a multi-element evaluation index model in which qualitative and quantitative evaluations are combined, a technology and a market are combined, and safety and energy saving are combined is formed. Through research, an evaluation standard of each index required by the evaluation system is determined; for different types of technologies or products, quantification is performed; human factors which influence the evaluation are reduced to a minimum so that an energy saving technology evaluation system becomes objective, scientific and reasonable; and sound development of industrial boiler energy saving technology industrialization is promoted.

The invention provides a method for automatically testing the PCIE-SSD transmitting velocity and band width under Linux, and relates to a technique for testing the PCIE_SSD band width and transmitting velocity performance of a server. According to the invention, based on a linux operation system, detailed information of the kernel version, hard disk and PCIE_SSD of the Linux system is captured by utilizing commands uname-a, cat / proc / partations and fdisk-1 of the system; a drive is installed; all PCIE_SSD is formatted automatically; testing is carried out by utilizing a testing tool FIO according to the set testing standard parametric models of read, write, random read and random write of a memory disc and the block sizes of 4k, 8k, 16k, 32, 64k, 128k, 256k, 512k and 1024k. Automation is realized completely; the establishment time of a testing environment is shortened, and the stable performance result is guaranteed.

The invention discloses an evaluation method for efficiency of a satellite data receiving system. The evaluation method comprises the following steps: building a satellite data receiving efficiency evaluation index system; calculating primary indexes of the satellite data receiving system; calculating secondary indexes of the satellite data receiving system; calculating tertiary indexes of the satellite data receiving system; calculating integral indexes of the satellite data receiving system; demonstrating efficiency evaluation result. According to the invention, the efficiency evaluation indexes system covering comprehensively and systematically is provided directed towards the problems that conventional efficiency evaluation methods for satellite data receiving systems are difficult to conduct systematic, meticulous and comprehensive evaluation; the indexes system comprises four stages of indexes, and covers multiple aspects of satellite receiving responsibility planning algorithm evaluation, receiving capability analysis, and the like; the method has the characteristics that the method is clear in structure, and easy to disintegrate and combine, and realizes multi-scale efficiency evaluation of the satellite data receiving system.

The invention belongs to a network optimization problem, relates to the optimization of a business routing distribution scheme in a power communication network, and especially relates to a communication network optimization method based on a hierarchical analysis method and a genetic algorithm. According to the invention, the method employs the hierarchical analysis method from the angle of the general risk degree of a power communication network and the node and business risk balance degree, combines the qualitative and quantitative methods, enables a complex decision-making system to be hierarchical, provides the quantitative analysis for the analysis and decision making through the level-by-level comparison of various kinds of correlated factors, and proposes a standard for the judgment of the quality of a communication network. The standard is taken as an objective, and the method employs the improved genetic algorithm, and proposes a new coding mode and variation mode, thereby solving a problem that the binary coding of a conventional genetic algorithm is not sufficient in expression of the problem, and achieving the optimization of the communication network.

The invention belongs to the technical field of special vehicle information systems and in particular relates to a method for evaluating performance of a special vehicle information system. According to the method, a specific evaluation method is provided from three aspects of openness, cooperative capability and platform ability of the information system, and the functions, performance and the like of the information system can be scientifically and comprehensively evaluated. The method is capable of integrally considering expert weight, index weight and other factors such as qualitative index, quantitative index and the like together and evaluating the overall performance of the information system.

The invention provides a method for automatically testing floating point calculation performance of a CPU (Central Processing Unit), belonging to the field of testing of floating point calculation performance of the CPU. The whole test is based on a linux operating system, and is suitable for various processor platforms in the industry; HPL.dat parameter input documents are automatically set by using CPU information grabbed under a system, and floating point calculation test parameters are automatically set by using hostname information and IP (Internet Protocol) addresses. 1_mpi and 1_commpxe toolkits do not need to be manually installed. At the beginning of operating a script, the information is grabbed; simple, time-saving, easily-operating and automatic testing is realized through the information, and a performance result is automatically stored.

The invention discloses a greenhouse gas emission flux observation sampling device, which comprises a top box, a base and a gas sampling collecting device. An exhaust nozzle, an air inlet nozzle, a fan, a digital display thermometer, a handle, and a hose are arranged on the top box. The gas sampling and collecting device includes an injection device and a gas sample bag; the exhaust nozzle and theair inlet nozzle are symmetrically distributed on the top cover of the top box; the host is connected with the exhaust nozzle and the other end is suspended into the inner cavity of the box; and holes are formed in the host in the box uniformly. The injection device, the exhaust nozzle and the gas sample bag are connected by a three-way valve. A calculation method for the greenhouse gas dischargeflux of the thicket sedge marsh is provided. The device has the advantages: firstly, calculation of greenhouse gas emission flux becomes accurate by the cylindrical box; secondly, the exhaust nozzleand the air inlet nozzle employ the silicone nut, so that the sealing performance of the box is ensured; repeated use is realized; and material consumption is reduced; and thirdly, with the calculation method, the calculation accuracy of greenhouse gas flux is improved.

The invention discloses a science and technology project investment and financing evaluation method which comprises a screening index method and an evaluation index method, wherein the screening index method comprises evaluating from five factors, including the policy factor, the product quality factor, the intellectual property factor, the environment influence factor and the industry permission factor; the evaluation index method comprises an evaluation index system which takes the economic benefits as the main investment project and an evaluation index system which takes the social benefits as the main investment project; the evaluation index system and the evaluation index system further comprise risk assessment subsystems and earning assessment subsystems; the risk assessment subsystems and the earning assessment subsystems evaluate science projects based on the demand factor, the technique factor, the capital factor, the design factor, the condition factor, the financial benefits, the economic benefits and the social benefits respectively. According to the characteristics of science project techniques, the science and technology project investment and financing evaluation method evaluates science projects in multiple dimensions and has the advantages of scientificity and relatively comprehensive and reliable evaluation result.

The invention relates to a power distribution network assessment technology, in particular to a power distribution network comprehensive assessment and analysis method based on multi-source data analysis. The power distribution network comprehensive assessment and analysis method solves the problems that subjective randomness is high and assessment is difficult to quantify of the existing power distribution network assessment technology. The power distribution network comprehensive assessment and analysis method based on multi-source data analysis is implemented by adopting the steps of: 1) confirming a region to be assessed; 2) regarding an assessment criterion of an index as a threshold value according to basic data of a power distribution network within the region to be assessed, calculating a numerical value of the index, and calculating a score of the index according to the numerical value of the index and a scoring formula of the index; 3) and assessing operation level and power supply capacity of the power distribution network within the region to be assessed according to the score of the index and a weight coefficient of the index, and finding out a weak link of the power distribution network through analyzing an assessment result. The power distribution network comprehensive assessment and analysis method is applicable to the assessment of the power distribution network.

The invention belongs to the technical field of wine brewing, and particularly relates to a quality evaluation method and system for strong-flavor distiller's yeast. The quality evaluation method is characterized by comprising the following steps: selecting a whole block of distiller's yeast from a strong-flavor finished distiller's yeast store, carrying out sensory quality evaluation, and determining the finished distiller's yeast with qualified sensory evaluation by seven indicators, namely the acidity, the moisture, the volume weight of the distiller's yeast block, the liquor-producing power, the esterifying power, the amino acid nitrogen and the starch conversion ratio; carrying out analysis and computation on the seven physical, chemical and biochemical indicators of the distiller's yeast sample by virtue of a principal component analysis method of SPSS13.0; selecting a few of previous principal components, determining the weights through the information proportion of various components, building a comprehensive evaluation model for the distiller's yeast quality, and then calculating quality characterization values F of each distiller's yeast through matlab software; carrying out clustering analysis on the values F, and then dividing the distiller's yeast quality into four grades. According to the method and the system, human disturbance factors are reduced; the method and the system are objective, scientific, simple and convenient to use, high in operability and accurate.

The invention discloses a regional fire risk assessment method based on a smart city, which comprises the following steps: S1, determining an assessment range and dividing an assessment unit; S2, constructing a fire risk assessment index system; 3, calculating that weight of each factor index; S4, constructing a quantitative model of fire risk assessment parameters, and quantifying the fire risk assessment parameters in the three-level indexes; S5, calculating the fire risk index of each evaluation unit, and evaluating the fire risk of each evaluation unit; S6, according to the fire risk assessment results of each assessment unit, the city fire risk level distribution map is drawn, and the fire risk assessment is carried out on the assessment scope. The invention can form systematic, scientific and objective evaluation to the real evaluation unit by constructing the fire risk evaluation index system with hierarchical structure, responding to the situation of the evaluation unit in various aspects at different levels, and quantifying the fire risk evaluation parameters.

The invention provides a situation awareness method and system of the Internet of Things. The method comprises steps of collecting data of different information sources; obtaining data streams in a unified format through preprocessing; extracting high-frequency project group elements from the data stream; generating high frequency association rules, carrying out situation evaluation for evaluationquantification; through fusing with different evaluation systems and obfuscating the data elements, situation values of a single device and a local network are obtained, the architecture compositionof the whole network is combined; a situation value of the whole system is obtained; the situation values of different levels are imported into a neural network model for prediction; finally, the prediction result is visually displayed, the whole Internet of Things system and each single device are fully evaluated, and the prediction result can be associated with each device and each layer basedon the given situation value so that the future system can be scientifically predicted, and valuable reference suggestions can be provided for users.

The invention provides a coastal wetland bird ecological health evaluation method. The coastal wetland bird ecological health evaluation method comprises the following steps of S101, investigating andcollecting coastal wetland bird related data information; S102, establishing a coastal wetland bird ecological health evaluation index system based on bird community characteristics and habitat related parameters; S103, determining the characteristics and assignment standards of each level of index, bird community characteristics being mainly reflected by bird diversity evaluation, and habitat related parameters mainly reflecting the importance, the suitability and the risk of the wetland to the birds; S104, determining the weight of each level of index; S105, comprehensively evaluating the ecological health condition of the birds in the coastal wetland based on the health comprehensive index HCI; and S106, dividing the ecological health level of birds in the coastal wetland. According tothe coastal wetland bird ecological health evaluation method provided by the invention, the scientific, effective and standard management and evaluation can be performed on the mangrove forest wetland bird condition and the habitat state.

The invention relates to a method and system for comprehensively evaluating a smart power grid demonstration project. The method comprises the following steps of: receiving a microscopic evaluation index data set of a smart power grid, and calculating weights of various data in the microscopic evaluation index data set by utilizing a combination weighting method based on a torque estimation theory; obtaining a macroscopic demand index value by calculation according to the microscopic evaluation index data set and the weights of the corresponding data; and, calculating weights of various macroscopic demand indexes by utilizing a DEMATEL-ANP anti-entropy weight method, and obtaining and outputting a comprehensive evaluation result according to the macroscopic demand index value and the weight corresponding to the macroscopic demand index. The weights of the data in the microscopic evaluation index data set are calculated by utilizing the combination weighting method based on the torque estimation theory; the problem that a weighting result is bias due to the fact that determination of the weight through the single weighting method can be easily influenced by the weighting method can be avoided; the macroscopic index weight is determined through the DEMATEL-ANP anti-entropy weight method; the microscopic index weight is determined through the combination weighting method based on the torque estimation theory; therefore, the comprehensive benefit can be evaluated scientifically; the evaluation reliability is high; and a guiding role can be played.