70 results about "Matter element" patented technology

The invention discloses a method for estimating an operating state of an SF6 high-voltage circuit breaker and an intelligent system, belonging to the technical field of electric transmission and transformation equipment. The intelligent system comprises a WEB server, a data server, an industrial personal computer, a local discharge monitoring unit, an opening / closing coil current monitoring unit, a release current monitoring unit, an opening / closing stroke monitoring unit, an opening / closing position monitoring unit, an SF6 gas temperature and pressure monitoring unit and a sensing element. The method comprises the steps of: 1, establishing an intelligent estimation system; 2, quantifying estimation indexes; 3, determining matter elements R to be estimated; 4, determining a model classic domain; 5, determining a model node domain; 6, calculating a subjective weight; 7, calculating an objective weight; 8, determining a subjective and objective combined weight; 9, determining a degree of association of the matter elements to be estimated; 10, estimating matter elements of a subproject layer; 11, estimating matter elements of a project layer; 12, estimating matter elements of a target layer; 13, determining an operating state grade; and 14, determining a characteristic index state grade trend. The invention has the advantages of simple model, visual estimation result and strong self-improvement characteristic.

The invention provides a comprehensive evaluation method for primary frequency modulation performance of a generator set. The comprehensive evaluation method comprises the following steps of determining an index for evaluating the primary frequency modulation performance of the generator set; performing normalized processing on the index for the primary frequency modulation performance of the generator set; determining the weight of the index for the primary frequency modulation performance of the generator set by a subjective and objective weight combination method; and evaluating the grade of the primary frequency modulation performance of the generator set based on a matter-element extension method. According to the comprehensive evaluation method, the dynamic primary frequency modulation performance index is introduced; the advantages of the subjective weight and the objective weight are combined to solve the weight of the primary frequency modulation performance index; the comprehensive evaluation for the primary frequency modulation performance of the generator set can be carried out based on the matter-element extension method; and in addition, the evaluation result is objective, reasonable and safe, so that foundation is laid for assessment of a dispatching department of an electric power system.

The present invention belongs to the nuclear power plant safety operation assessment technology field, and especially relates to a nuclear power plant safety operation assessment method based on an entropy evaluation method and a matter-element extension method. Aiming at the development and safety operation condition of the nuclear power in our country, in order to realize comprehensive and systematic assessment for the nuclear power plant safety operation condition, the present invention provides a nuclear power plant safety operation assessment method based on an entropy evaluation method and a matter-element extension method. The method comprises: establishing a nuclear power plant safety operation condition index system, constructing a matter-element extension model to obtain association degree of each index on related assessment grades, combining the association degree and the entropy evaluation method, and solving a weighting comprehensive association degree so as to determine the assessment grade of the safety operation condition of the nuclear power plant. The nuclear power plant safety operation assessment method based on the entropy evaluation method and the matter-element extension method realizes classified assessment of each index of the safety operation condition while realizing comprehensive assessment of the whole operation condition of the nuclear power plant and takes the actual data in the assessment process as a basis so as to overcome the subjectivity of a fuzzy comprehensive assessment model and allow the assessment result to be more practical and reliable.

The invention relates to a new method for evaluating coal seam bottom water bursting. The method comprises the following steps: 1. collecting, extracting, processing and quantizing the data of the many factors of coal seam bottom water bursting; 2. using the ring theory and technical method and the extension method to determine the matter element model of coal seam bottom water bursting 3. determining the classical domain model of the bottom water bursting matter element; 4. determining the joint domain of the bottom water bursting matter element; 5. combining geological data and hydrogeological data information according to the mass observation data of the mine shaft to obtain the matter element to be evaluated, namely the various datasets of a sampling point; 6. calculating the association degree of the matter element to be evaluated in different categories; 7. determining the weighting coefficient of each main control factor of coal seam bottom water bursting; 8. calculating the association degree of the matter element to be evaluated in different safety levels; and 9. determining the bottom water bursting danger level of each matter element to be evaluated, and finally performing scientific regionalization, prediction and evaluation to the danger of coal seam bottom water bursting.

The invention discloses a method for optimally selecting thighbone prostheses based on material performance multi-objective optimization, and relates to the field of thighbone prosthesis design. The method comprises the step of utilizing the finite element analysis method for conducting the multi-objective optimization on the thighbone prostheses so as to achieve optimal selection of individualized thighbone prosthesis. The method is characterized by comprising the steps of extracting a thighbone internal contour line and a thighbone external contour line, structurally designing a thighbone prosthesis handle, structurally designing a ball head, assembling a thighbone model and a prosthesis model, selecting thighbone prosthesis materials, establishing a finite element model, setting determined material parameters, constructing a material matching mode and loads, and optimizing evaluation indexes and multiple objectives. The material matching scheme of the ball head and the prosthesis handle is the optimal scheme obtained on the premise that the thighbone prosthesis bearing capacity, the thighbone prosthesis service life, the thighbone prosthesis stress shielding and thighbone prosthesis deformation are optimized under the individual thighbone mechanical environment, the problem of optimally selecting the artificial prostheses is solved by initially applying the fuzzy matter-element theory, and due to the introduction of the method, the multi-objective optimization design of the thighbone prostheses is achieved.

The invention discloses a multi-index extensible evaluation method for dangerous rock falling ricks in tunnel and underground engineering. The method comprises the following steps of: 1, establishing a dangerous rock falling risk evaluation index system according to main factors inducing side slope dangerous rock mass collapse; 2, establishing a grading standard for dangerous rock falling risk evaluation and determining a dangerous rock falling risk evaluation grade; 3, quantifying or correcting an evaluation index parameter, namely, normalizing and scalarizing a qualitative index, and describing the qualitative index to a certain extent by using a numerical value form; 4, establishing a classical domain, a joint domain, a to-be-evaluated matter element and an extensible model of a to-be-evaluated dangerous rock matter element; 5, collecting to-be-evaluated dangerous rock data, determining a weight of each risk evaluation index by adoption of a single correlation function method, and calculating a correlation function value of the to-be-evaluated dangerous rock matter element; and 6, evaluating the dangerous rock falling risk, and calculating a grade variable feature value of the to-be-evaluated matter element so as to obtain a collapse rock falling risk grade of a to-be-evaluated dangerous rock at a portal section of a tunnel.

The invention discloses a solar wing spreading reliability estimation method based on a multilevel gray comprehensive model. The method comprises the following steps: determining a reliability estimation index set, and determining an index grade; organizing experts to score the index set; establishing an evaluation matrix, and determining an evaluation grey class; computing weight of each factor by using a matter element method and an analytic hierarchy process; computing a grey evaluation coefficient; and outputting a comprehensive evaluation result. The method provided by the invention is applied to the reliability estimation on a small sample and a limited information experiment object, and can accurately estimate the solar wing spreading reliability. The method has the advantages that the reliability factor can be layered, and the analytic hierarchy process is combined with the matter element method to determine the weight of the reliability factor, and the comprehensive estimation result is intuitive, objective and credible.

The invention discloses a method for predicting workpiece machining energy consumption based on geometrical characteristics. The method comprises the steps that a workpiece CAD model is split to establish a characteristic tree according to geometrical characteristic information integrated in the CAD model and geometrical characteristic categories and a hierarchical relation of the geometrical characteristic categories are expressed through the characteristic tree; a workpiece geometrical characteristic matter-element model is established according to a matter-element method, the geometrical characteristics and a machining mode of a workpiece are extracted from the matter-element model, a mapping relation is established, a workpiece machining energy consumption model based on the geometrical characteristics is established with the combination of the energy consumption characteristics of energy consumption components of a machine tool in the machining process, and operation parameters corresponding to the energy consumption components of the numerical control machine are obtained by analyzing an NC code of the geometrical characteristics; parameter information is substituted into the energy consumption model, an energy consumption value for machining of the geometrical characteristics is calculated, and the overall energy consumption in the workpiece machining process is obtained by summation of energy consumption of the geometrical characteristics. The method is conducted according to the energy consumption property of the geometrical characteristics of the workpiece, and energy consumption prediction in the workpiece machining process can be conducted according to the split geometrical characteristics.

The invention discloses a method for monitoring the running state of a high-speed train gear box and belongs to the field of state monitoring of gear boxes. The method includes the following steps that vibration acceleration sensors are arranged in the X direction, the Y direction and the Z direction of the gear box and used for acquiring vibration acceleration signals in all direction of the gearbox; wavelet energy of the vibration acceleration signals on each frequency band serves as characteristic parameters of the running state of the gear box; according to historical data generated when the gear box runs normally, a characteristic parameter sample training database is generated; classical field matter-element models and joint field matter-element models in all the vibration directions are built when the gearbox runs normally; classical fields of characteristic parameters of the matter-element models in all the vibration directions are optimized and determined, a matter-element model of the current running state of the gearbox is built, the comprehensive correlation degree between the current running state and a normal running state is calculated, and whether the current gearbox normally runs or not is judged. The method for quantitatively and qualitatively judging the running state of the gear box is provided, and a basis is provided for monitoring the state of the gearbox.

The invention relates to a two-stage decision-making optimization method and system for a power network project, which is characterized in that the method comprises the following steps of analyzing factors influencing the sequencing of the power network project, and constructing an evaluation index system for the sequencing of the power network project; according to the evaluation index system ofpower grid project optimization ranking, establishing the power grid project optimization ranking model based on matter-element extension; according to the optimal sequencing model of power grid projects, selecting the power grid projects that meet the requirements of corresponding evaluation indexes, and obtaining the basic information of the selected power grid projects; according to the goal ofpower grid development, establishing the auxiliary decision-making model of power grid development based on Weingartner in advance, and determining the constraint conditions of power grid project; according to the pre-established auxiliary decision-making model of power network development and the screened power network items and their basic information, the optimal power network items or the combination of power network items based on the power network investment quota are determined. The method and the system can be widely applied in the decision-making optimization field.

The invention provides a path selection method for a multi-hop cellular network of a fixed relay. The method comprises the following steps of judging whether a mobile station satisfies a local forwarding strategy or not; if so, selecting a local shortcut transmission path; otherwise, establishing a mapping relation between quality of experience (QoE) and a Quality of Service (QoS) parameter by using a matter element analysis model of an extension theory under the consideration of the QoE; constructing a QoE evaluation level target function of a candidate path P; meanwhile, establishing a network channel capacity target function on the basis of the optimization of network performance; and resolving by using a Nash bargain axiom by taking the QoE evaluation level target function and the network channel capacity target function as players in a cooperative game model to obtain an optimal transmission path. A multi-target path selection method in which the network performance can be optimized and the QoE of a user is fully considered is adopted, so that the average data packet delay is reduced while higher QoE of the user is ensured, and the system throughput rate is increased.

The invention discloses a pavement performance evaluation method based on the pavement use performance and material performance. The method comprises the following steps: detecting the pavement damage, a rut, a flatness value and a skid resistance performance; calculating a use performance index; carrying out coring on an evaluated pavement; collecting a uniaxial repeated direct tensile test and determining a fatigue parameter correction parameter; determining the number of rheological times by adopting a two-step secant method; determining apavement performance index, the rheological frequency and Marshall stabilityall evaluated road sections; constructing evaluation indexes of all evaluated road sections to form a matrix; constructing a standardized matrix and constructing an index maximum gray matter element; calculating an association degree matrix; calculating a determination matrix; calculating a maximum feature value according to the determination matrix and measuring the matrixconsistency by adopting a consistency index; determining an evaluation index weight matrix; determining the association degreesbetween all road sections and an optimal matter grey element; and evaluating the pavement performance of each road section according to the association degree between each road section and the optimal matter grey element. Therefore, the maintenance priority sequence of the road section can be determined and maintenance funds can be utilized reasonably.

The invention relates to a power distribution network three-dimensional simulation training credibility evaluation method based on a cloud matter-element model. A correlation function of a matter-element model is expressed with a normal cloud model with randomness and fuzziness considered, the relation between various simulation training reliability evaluation indexes and the evaluation intervals of various evaluation result levels is quantified with the correlation function, conversion between quantitative calculation and the qualitative concept is achieved, and finally a power distribution network three-dimensional simulation training credibility evaluation result is worked out according to the maximum membership degree principle. Finally, with a power outage cable replacement subsystem as the embodiment, the credibility of the power outage cable replacement subsystem is evaluated, which shows the superiority and feasibility of the cloud matter-element algorithm. The cloud matter-element algorithm with the cloud model and the matter-element model combined is adopted to evaluate the credibility of power distribution network training simulation, wherein the correlation function of the matter-element model is expressed with the normal cloud model, expert scoring uncertainty is considered, and qualitative index quantification is achieved.

The invention provides a power transmission grid efficiency and benefit detection method based on a Klee method and a matter element extension model. The method comprises the steps of: 1) based on an established power transmission grid efficiency and benefit comprehensive estimating system, using the Klee method to carry out pairwise comparison on indexes of each level, obtaining an important degree sort, and finally obtaining the calculation weight of each index; 2) defining a reasonable operation range of each evaluation index, obtaining the distances of each index to different evaluation levels, and obtaining a proximity according to a shortest distance formula; 3) for each index, calculating the proximities of the index relative to the different evaluation levels, substituting the proximities into a level evaluation formula, obtaining a comprehensive evaluation value of a matter element to be evaluated, and giving the deviation degree of the evaluation level; and 4), for the same data and sort, utilizing a hierarchy analytical method to calculate a comprehensive evaluation result, comparing the comprehensive evaluation result with the comprehensive evaluation value obtained in the step 3), comparing the coincidence degrees with a practical development condition, further carrying out sensitivity analysis on the evaluation model with the higher coincidence degree, and obtaining index having the largest evaluation result influence.

The invention discloses an underground metal mine goaf hazard degree grading evaluation method, which comprises the following steps: firstly, selecting 16 indexes to construct an underground metal mine goaf hazard degree grading evaluation index system, dividing hazard degrees into four grades, and determining a grading standard; then, determining the comprehensive weight of each index by adoptingan AHP, entropy weight method and game theory combined weighting method; establishing a matter element extension model for goaf risk degree evaluation; substituting the weight value of each evaluation index into the matter element extension model to obtain each index correlation degree and a comprehensive correlation degree value which belong to each risk degree grade; and finally, determining the danger degree level according to the maximum correlation degree principle. According to the method, the goaf hazard level can be evaluated comprehensively, objectively and accurately, the evaluationprocess is clear, the evaluation result is objective, and a new method can be provided for grading evaluation of the underground metal mine goaf hazard level.

The invention discloses a SVM (Support Vector Machine) solar wing unfolding reliability evaluation method based on kernel optimization. The method comprises the following steps of: establishing a solar wing unfolding reliability comprehensive evaluation index system according to expert knowledge; obtaining a weight vector of the evaluation index system by a matter element method and an analytic hierarchy process; grading measured values of each factor influencing the unfolding of the solar wing by experts, and taking the grading result as sample data; automatically selecting the SVM kernel and parameter values thereof by a program so as to form a training model; performing cross validation to check whether the kernel and the parameters thereof need to be regulated finely; and validating the formed model by a test sample, and evaluating the reliability of unfolding of the solar wing. The method has the following advantages that: the evaluation result is objective and credible under circumstances of zero failure, small sample, nonlinearity, high dimensionality and the like.

The invention discloses a method for risk level evaluation of a fuel gas polyethylene pipeline, which comprises that accident materials of the fuel gas polyethylene pipeline are collected and summarized, main factors causing a failure of the fuel gas polyethylene pipeline are confirmed, and a risk level evaluation model of the fuel gas polyethylene pipeline is established. The invention also discloses a system for the risk level evaluation of the fuel gas polyethylene pipeline, which comprises a data collection and summarization module, a failure factor confirmation module and a risk level evaluation model establishment module, wherein the risk level evaluation model establishment module comprises a risk level division sub-module, an evaluation index determination sub-module, a quantity field matter element determination sub-module, a joint field matter element determination sub-module, a to-be-evaluated matter element determination sub-module, an evaluation index weight calculation sub-module, a fuel gas polyethylene pipeline relevant function value calculation module and a risk level determination sub-module. The method and the system for the risk level evaluation of the fuel gas polyethylene pipeline provided by the invention comprehensively analyze a risk level of the fuel gas polyethylene pipeline and solve the problem about comprehensive evaluation of qualitative and quantitative factors, which always exists in the risk evaluation.

The invention discloses a coal mine safety evaluation method based on an entropy weight matter element extension model. The method comprises the following steps: 1) establishing an evaluation index matter element; 2) carrying out normalization processing of evaluation indexes; 3) calculating an evaluation index correlation degree; 4) calculating an evaluation index weight; and 5) determining a comprehensive correlation degree and an evaluation grade. According to the invention, a correlation function in matter element extension is introduced to calculate the correlation degree between each evaluation index and the security level; the weight of each evaluation index is calculated by utilizing an entropy weight method, on the basis, the comprehensive correlation degree of the to-be-evaluatedobject element level is solved, the safety evaluation level is determined according to the maximum correlation degree principle, and finally the reliability and reasonability of the evaluation methodare verified by applying an example.

The present invention discloses a multi-level matter-element entropy weight-based congestion hotspot airspace sector recognition method and belongs to the air traffic management field. The method includes the following steps that: a three-level airspace sector congestion degree evaluation index system including a target level, a dimension level and an index level is established, the calculation or sampling method of indexes is established, evaluation indexes are calculated on the basis of evaluation sector sample selection, and index level threshold judgment is performed according to index numerical value distribution; a multi-level matter-element model is established, association degrees and index weights are calculated, a sector congestion dimension level is judged; and the calculation of a sector congestion dimension weight is determined on the basis of an entropy weight method, and a congestion hotspot airspace sector is recognized. According to the method of the invention, a sector congestion degree is comprehensively judged from a plurality of dimensions, technical support is provided for the research and development of control auxiliary decision-making system tools, and references are also provided for airspace planning, sector adjustment and the like.

A method for synthetically evaluating a river water body includes such steps as establishing three-level index evaluation system, wherein the three-level index evaluation system comprise a first-levelindex, a second-level index and a third-level index, and the three-level index comprises a plurality of grades S2, quantitatively evaluating the degree of black and odor of the river water body by the matter element analysis method, comprising establishing an index evaluation matrix of three indexes, normalizing the index evaluation matrix and the index vector corresponding to the index evaluation matrix, and determining the correlation degree according to the index evaluation matrix and the index vector after the normalizing treatment; step S3, through the hierarchy-Delphi analysis method, determining the weights of the three-level indexes, establishing the expert evaluation matrix by setting the expert evaluation table, calculating the included angles of the evaluation vectors, and correcting the weights by using the normalized consistency of the expert evaluation.

The invention discloses a fuzzy matter element evaluation method for the cavability of a rock. According to the method, fuzzy mathematics is organically combined with matter element analysis together, the cavability of the rock is divided into five grades of no cavability, poor cavability, better cavability, good cavability and excellent cavability as matter elements, an RQD (rock quality designation) value, uniaxial saturated compressive strength, a joint spacing, a primary undermining hydraulic radius and a water characteristic value are selected as evaluation indexes. Through membership grade calculation, correlation degree transformation and preferred membership grade treatment, a correlation coefficient fuzzy matter element for evaluating the cavability of the rock is established. An evaluation index weight is determined by adopting a summation normalization method, the membership grades, relative to different evaluation levels, of each index quantity of the rock are calculated by applying correlation degree calculation and a maximum correlation degree principle, further the membership grade evaluation is carried out on the cavability of the rock, and the problem that a single-factor index and the evaluation of the cavabiliyt of the rock are incompatible is solved. An important reference basis is provided for the evaluation of the cavability of the rock at a mine and the design of a mining method in a spontaneous caving method.

The invention discloses a method for optimizing the allocation of service components of science and technology resources , belonging to the field of optimized configuration of a resource service component. The method comprises the following steps: firstly, constructing a multi-objective optimal allocation model of scientific and technological resource service components; then, based on fuzzy matter-element analysis theory, the multi-objective combinatorial optimization model is transformed into a single-objective combinatorial optimization model. Finally, based on the single-objective combinatorial optimization model, the improved swarm intelligence algorithm is used to optimize the adaptive composition of multi-level and multi-granularity science and technology service components. Based on fuzzy matter-element analysis and improved swarm intelligence algorithm, this invention realizes the adaptive and optimal composition of multi-level and multi-granularity sci-tech resource service components, and also realizes the dynamic construction mode of resource service platform from service demand to service quality, resource utilization and service efficiency.

The invention discloses a particle group optimum method based on two-stage driving program of ambiguous object, which is characterized by the following: representing a driving program of one particle; setting population scale as m; generating m particle randomly and m initiating driving program; detecting the good and bad program degree of specific detected particle through calculating fitful value; adapting confined value of driving program association as fitful value of program particle; updating the operation of particle state continuously; using the last generation of population instead of each particle fitful value; counting the value according to the calculation method to gain different corresponding fitful degree F; selecting large fitful degree F as the optimum driving program. The invention provides a particle group method of rapid convergence and high answer quality based on two-stage driving program of ambiguous object.

The invention discloses an analysis method for the deep well floor water inrush risk. The method comprises the following steps that data of multiple main control factors of deep well floor water inrush are acquired; the data of the multiple main control factors of deep well floor water inrush are selected, and the weights of the main control factors are determined; a gray matter element deep well floor water inrush risk analysis model is built; the analysis threshold value of the deep well floor water inrush risk is determined; according to the data of the multiple main control factors, the deep well floor water inrush risk analysis model and the analysis threshold value of the deep well floor water inrush risk, the critical conditions of the deep well floor water inrush are obtained. The critical conditions of the deep well floor water inrush are obtained, a data foundation is provided for preventing floor water inrush in a specific deep well exploitation process, and technical support is provided for improving safety of deep well exploitation.

The invention discloses a transformer state fuzzy set pair evaluation method based on matter-element augmentation extensive correlation, comprising steps of performing classification on a transformer fault sample set according to a set fault type, performing equivalent augmentation on the classified fault sample sets through a random weighting method, constructing a fault type-fault symptom correlation identification matrix based on augmented fault sample sets to obtain a reduced correlation frequency fault set matrix of each fault type and an optimized fault symptom constant weight coefficient, constructing a transformer fault symptom set data dictionary classical domain and a joint domain through combination with a matter-element extensive theory so as to obtain a matter-element correlation function of each fault symptom and solve a variable weight coefficient corresponding to each fault type, calculating an identical discrepancy contrary evaluation matrix needed by the transformer state evaluation through the ladder-ridge type fuzzy membership function, and obtaining a set pair analysis multi-element relation degree of each fault type and the transformer integral operation state by combining with the optimized variable weight coefficient to realize the analysis and evaluation on the transformer operation state.

The invention discloses an enterprise information technology application degree evaluation method. The method comprises the following steps of S1, establishing a three-stage evaluation index system of enterprise information technology application evaluation; S2, performing analysis from the perspective of an enterprise development strategy, and extracting a disruptive information technology with a most important influence on current enterprise development as an evaluation object; S3, based on the step S2, designing 1 to N stages of indexes for enterprise information technology application level evaluation, and determining the last stage as a leaf index, thereby constructing an enterprise disruptive information technology application level index system; S4, endowing various three-stage evaluation indexes with scores according to enterprise software and hardware device input, enterprise information manpower resources, information technology application conditions and actual data of enterprise information application performance; and S5, building an evaluation model based on an order relation method and a matter-element extension theory.

The invention discloses a method for assessment of the operating state of a turbonator and relates to the technical field of electric generator state assessment. The method comprises the steps of acquiring operating state index data, taking operating state as a matter element to be assessed, converting each index into the characteristic of the matter element to be assessed, describing the operating state of the turbonator with a matter element model, establishing a matter element classical field model so as to describe the demand section of each operating state index about the magnitude range of each operating state grade, building a matter element joint domain model so as to describe the maximum value range of each index, calculating the correlation degree between each index of the matter element to be assessed and the operating state grades, determining the weight coefficient of each index of the matter element to be assessed, calculating the correlation degree between the matter element to be assessed and different operating state grades, and judging the grade of the operating state of the turbonator. By the adoption of the method, assessment and horizontal comparison of the operating state of the turbonator are achieved, a basis can be provided for reasonable arrangement of maintenance of power generation enterprises, and reliable operation of electric generators is guaranteed.

The invention discloses a steel oil storage tank bottom corrosion rating method. The method comprises the following steps of: 1, establishing a composite fuzzy matter element matrix R; 2, constructing a correlation coefficient composite fuzzy matter element matrix (as shown in the specification; 3, determining a weight composite matter element (as shown in the specification) of each characteristic index; and 4, determining relevancy composite fuzzy matter elements (as shown in the specification). For corrosion characteristic parameters, a safety assessment method is proposed to evaluate bottom board corrosion states by using fuzzy matter elements, so that the corrosion states of the bottom boards of storage tanks are reflected comprehensively, quantitatively and correctly.

The invention discloses a new type rural community management and protection performance evaluation method based on a matter-element extension model. Strong correlation factors are eliminated through a factor analysis method with effective questionnaires as the basis, main evaluation indexes are extracted, a management and protection performance evaluation index system is built, the weights of main components are determined with a main component analysis method in factor analysis, the communality of all the indexes is obtained so as to obtain the weights of all the indexes with the feature root, the cumulative contribution rate and the decision-making load matrix obtained through factor analysis as the basis, and finally eight main component weights are determined; community management evaluation matter-elements are built; the classical domains and the joint domains of the matter-elements to be evaluated are determined; the matter-elements to be evaluated are determined; the degrees of correlation between the indexes and the evaluation grades are determined; the quality grade of the objects to be evaluated is determined. The method has the advantages that the later-stage management and protection performance level of some new type rural community can be quantitatively evaluated, and then a theoretical basis and technological reference are provided for making reasonable later-stage management and protection measures for the new type rural community.

The invention discloses a special organic fertilizer for rice in the booting stage, and a preparation method of the fertilizer, and relates to the field of organic fertilizers. The special organic fertilizer is prepared from, by weight, 45-55 parts of straws, 8-10 parts of soybean meal, 6-8 parts of cottonseed meal, 3-5 parts of mushroom residues, 4-6 parts of lignin residues, 1-2 parts of wheat bran, 8-10 parts of rice chaff, 3-5 parts of fish meal, 2-4 parts of licorice root powder, 1-3 parts of a mineral additive, 0.5-1 part of trace elements and 5-10 parts of amino acids. The organic fertilizer contains a large amount of organic matters, shows the soil granule structure improving, activating, loosening and changing properties and the physical and chemical properties of organic fertilizers, and increases the water storage and fertilizer conservation ability of soil; and the organic fertilizer provides various trace mineral matter elements needed by the booting stage, has the fast action property of chemical fertilizers, can prevent and treat various physiologic diseases caused by missing trace elements in the booting stage in order to reduce other diseases and make the rice vigorously grow in the whole booting stage, and lays a good foundation for final fruiting.