119results about How to "Great engineering application value" patented technology

The invention discloses a monocular vision and laser radar fusion-based road travelable region detection method and belongs to the intelligent transportation field. Existing unmanned vehicle road detection methods are mainly based on methods such as monocular vision, stereo vision, laser sensor and multi-sensor fusion methods, have defects of low robustness to illumination, complex three-dimensional matching, laser sparseness, low overall fusion efficiency and the like. Although some supervised methods have achieved better accuracy, the training processes of the supervised methods are complex, and the generalization effects of the supervised methods are poor. According to the monocular vision and laser radar fusion-based road travelable region detection method provided by the present invention, ultra-pixel and point cloud data fusion is adopted; on the basis of features, road regions can be obtained through machine self learning; and the features are fused through the Bayesian frame, so that road information is obtained, and a final region can be obtained. With the method adopted, strong hypothesis information and complex training processes are not required. The monocular vision and laser radar fusion-based road travelable region detection method has the advantages of excellent generalization performance, high robustness, fast speed and high precision, and can be popularized and used more easily in practical application.

The invention discloses a wide range speed control system and current distribution method for a hybrid excitation synchronous machine. A control policy is applied to armature drive and excitation drive simultaneously. When the motor is in the starting period, a rated forward magnetism strengthening current is applied to the exciting winding to increase the starting torque of the motor, so that the motor obtains electromagnetic torque exceeding the rated torque under the condition of no overcurrent, and the transition time of motor starting is shortened. When the motor is in the low speed operating interval, if the motor load exceeds the rated load, the electromagnetic torque of the motor is increased by applied the forward magnetism strengthening current, so that the motor obtains excessive loading capacity under the condition of no overcurrent and no overheat. When the motor operates at high speed, a constant power operating interval far above the rated rotating speed can be obtainedby applying an appropriate reverse exciting current to HESM (Hybrid Excitation Synchronous Machine) and performing weak magnetic regulation on the d-axis armature current.

The invention provides a multivariable support vector machine prediction method for aero-engine rotor residual life. According to the method, service time, a load spectrum, rotation speed and vibration signal characteristics of an aero-engine rotor are selected to be as input parameters of a life prediction model. A multivariable support vector machine prediction model for the residual life is established based on a multivariable prediction method, sample parameters are input to the model to be trained and then output, and prediction for the residual life of the aero-engine rotor is achieved under a small sample condition. The method is simple and practical, reliable in result, good in instantaneity and is suitable for quantitatively calculating the residual life of the aero-engine rotor under the small sample condition.

The invention discloses a hot spot fault detection method for a photovoltaic cell panel, and belongs to the field of fault detection of a photovoltaic power generation system. The method comprises the steps: collecting infrared images in different hot spot fault states; carrying out the preprocessing and segmenting of the infrared images, and extracting a hot spot fault characteristic vector; training an SVM multi-fault detection model, and optimizing the parameters in the SVM through employing PSOM; and finally building a hot spot fault detection model for the photovoltaic cell panel. The method achieves the hot spot fault detection of the photovoltaic cell panel, gives a hot spot damage level, provides precise hot spot fault information, and prompts the safe and effective operation of the photovoltaic power generation system.

Provided is a switch magnetic resistance motor power converter short-circuit fault bus current diagnosis method. A bus current instantaneous value of a switch magnetic resistance motor power converter is detected so that a mean value delta of maximum values of a wavelet transformation coefficient corresponding to bus current under different scale parameters is calculated and acts as fault characteristic quantity. A main switch short-circuit fault on the position of the switch magnetic resistance motor power converter is diagnosed by using a mean value delta curve of the maximum values of the wavelet transformation coefficient corresponding to the bus current of the switch magnetic resistance motor power converter under different scale parameters within the whole speed range. The diagnosis method is applicable to diagnosis of the main switch short-circuit fault on the position of the switch magnetic resistance motor power converter with various topological structures and various phases, accurate in short-circuit fault diagnosis and great in engineering application value.

The invention discloses a finite element passenger restraint system model based on modularized modeling. The finite element passenger restraint system model comprises a safety belt model, a safety air bag model, a seat model, an instrument board model, a steering wheel model, a finite element dummy model, a vehicle floor model and a windshield glass model. A modeling method comprises the following steps of (1) obtaining related property parameters of each component part; (2) benchmarking the property parameters of each restraint submodel; (3) respectively storing each restraint submodel and the finite element dummy model as independent modules; (4) rigidizing an edge mesh unit of each restraint submodel; (5) creating the contact between a dummy and each restraint submodel, and related control cards, so as to complete modeling; (6) properly adjusting the model established in step (5), simulating and analyzing. The finite element passenger restraint system model and the modeling method have the advantages that the modularized benchmarking and management on the restraint system simulation model can be realized, the submodels of the restraint system can be optimized and replaced, and the purpose of improving simulation accuracy and matching efficiency of the restraint system is realized.

The invention relates to a photovoltaic power station irradiance prediction method. Historical irradiance data of a region in which a photovoltaic power station is positioned are acquired and substituted in an established irradiance model so that original data of irradiance are acquired; a clustering data subset with highly similar characteristics is formed by the original data with the same weather type by utilizing Euclidean distance and an established category target value function and acts as sample data; and an irradiance prediction model of the region in which the photovoltaic power station is positioned is established, and a training sample set is selected from the sample data and substituted in the irradiance prediction model so that irradiance of weather within time periods to be predicted is obtained. Various influence factors of weather are fully considered and divided into various categories so that fitting of the weather condition of a prediction day can be better performed, and accuracy of the predicted irradiance can be greatly enhanced.

The invention discloses a heterogeneous unmanned aerial vehicle cooperative task assignment method taking a time window into account, and belongs to the field of unmanned aerial vehicle task planning. The method includes the steps: acquiring the type of an unmanned aerial vehicle according to a task and extracting flight performance parameters according to the type of the unmanned aerial vehicle; building a heterogeneous unmanned aerial vehicle cooperative task assignment model taking the time window into account; solving the heterogeneous unmanned aerial vehicle cooperative task assignment model taking the time window into account by a genetic algorithm based on a penalty function to obtain a heterogeneous unmanned aerial vehicle cooperative task assignment scheme meeting the time window and task timing constraint. Corresponding tasks can be completed in the time window by the obtained heterogeneous unmanned aerial vehicle cooperative task assignment scheme, and unmanned aerial vehicle cooperative task completion rate is increased. The heterogeneous unmanned aerial vehicle cooperative task assignment method taking the time window into account can plan the assignment scheme meeting the time window for the heterogeneous unmanned aerial vehicle, and has the advantages of short planning time and capability of meeting time window constraint and task timing constraint.

The invention discloses a heterogeneous aircraft multi-task cooperation allocation method considering a timing sequence constraint, relates to a heterogeneous aircraft multi-task cooperation allocation method, and belongs to the field of aircraft task planning. An aircraft type is obtained according to tasks, and a flight performance parameter is extracted according to the aircraft type; a heterogeneous aircraft multi-task cooperation allocation model considering the timing sequence constraint is established; and the heterogeneous aircraft multi-task cooperation allocation model considering the timing sequence constraint is solved by utilizing a genetic algorithm considering the time sequence constraint, and a heterogeneous aircraft multi-task cooperation allocation scheme meeting the task time sequence constraint and maximum efficacy can be obtained. The invention provides a task allocation method capable of planning the allocation scheme meeting the task time sequence constraint and the maximum efficacy for a heterogeneous aircraft, task execution time can be effectively shortened, and task efficacy is improved. The heterogeneous aircraft multi-task cooperation allocation method is suitable for an observation-hitting-evaluation fight, wide-area search and a damage or air defense suppression task, and has wide engineering application value.

The invention discloses a method for a compiling aeroengine comprehensive mission spectrum related to use. The method includes the following concrete steps: firstly, splicing and pre-processing maneuvering flight actually measured load spectrums of all sections of an engine; secondly, providing a concept of typical mission segments for the spliced maneuvering flight load spectrum, and dividing themaneuvering flight load spectrum into five types of the typical mission segments according to division principles; thirdly, establishing mathematical models and description methods for the typical mission segments; and finally, quantitatively compiling the aeroengine comprehensive mission spectrum by taking the typical mission segments as compiling units considering the principle that the comprehensive mission spectrum is consistent with low cycle fatigue damage, creep damage and thermal shock damage caused by the actually measured spectrums. According to the method, the comprehensive missionspectrum is compiled by taking the typical mission segments as the compiling units, and so the quantification of the compilation process is achieved. The method is simple, feasible and suitable, andprovides a basis for the strength analysis, life study and compilation of an accelerated mission test spectrum for the aeroengine.

The invention relates to a power prediction method based on a wind-solar hybrid model. According to the prior art, wind power and photovoltaic power are predicted separately, however, according to the power prediction method based on the wind-solar hybrid model, only one BP neural network prediction model is adopted to achieve prediction of the output power of a wind power plant and the output power of a photovoltaic power station of a whole area at the same time, prediction accuracy is improved while the prediction method is simplified, and therefore the method has higher engineering application value.

The invention relates to an adaptive self-learning method for a regulation and control operation decision aided analysis expert model. The method is characterized in that the method comprises the following steps: 1) initially establishing the regulation and control operation decision aided analysis expert model; 2) automatically generating a regulation and control operation scheme; 3) carrying outeffectiveness verification on the generated regulation and control operation scheme; 4) realizing automatic computer learning of the operation scheme, and carrying out automatic adjustment on the initially-established regulation and control operation decision aided analysis expert model according to the effectiveness verification result; 5) manually adjusting the operation scheme, and carrying out automatic model correction through a computer according to the manually-adjusted operation scheme; and 6) repeating the steps 3)-5) until the effectiveness verification result of the step 3) is correct. The method can realize high-speed and intelligent accurate calculation, provides aided analysis for emergency quick decision of a dispatcher, and has a wide engineering application value.

The invention relates to lightweight silt foam composite soil which is characterized by comprising the following components by mass percent: 81% to 85% of raw soil as, 10.5% to 13.5% of cement as a curing agent, 2.5% to 4.5% of gypsum powder or silicon powder and 1% to 3% of lightweight materials. The invention further discloses a preparation method of the lightweight silt foam composite soil. The lightweight silt foam composite soil has the advantages of light weight, high strength, good independence, short construction period, waste recycling and environmental protection. In addition, the lightweight silt foam composite soil can solve the problems of uneven settlement and vehicle bumping at a bridge head, poor stability of a retaining wall, untight pressing of a pipe ditch, slumping of a side slope and the like due to the soil filling on a roadbed. Therefore, the lightweight silt foam composite soil is an ideal civil engineering material and can be widely applied to the construction of transportation, civil engineering and hydraulic engineering.

The invention provides a high-temperature high-pressure shaft simulator comprising a circulating mechanism, a temperature and pressure control mechanism, and a data measuring and acquiring mechanism. The circulating mechanism comprises a reciprocating circulating pump, a circulating oil pipe and a sample distributor-converter; the reciprocating circulating pump is connected with inlet and outlet ends of the circulating oil pipe; the sample distributor-converter is connected with the inlet end of the circulating oil pipe; the circulating oil pipe has an ascent segment and a descent segment connected through a transitional segment; the temperature and pressure control mechanism comprises an oil bath circulating sleeve, an oil bath thermostat and a pressure regulating pump; the oil bath circulating sleeve sleeves the circulating oil pipe and is connected with the oil batch thermostat; the pressure regulating pump is connected with the sample distributor-converter; the data measuring and acquiring mechanism comprises a plurality of sensors connected to the circulating oil pipe. The high-temperature high-pressure shaft simulator has the advantages that a high-temperature high-pressure underground environment and flowing of produced fluid in a shaft during production can be simulated, the influence of different production conditions upon frictional resistance and flowing form during crude oil lifting is studied through real-time monitoring, and the simulator is of promising engineering application value and academic value.

The present invention discloses a switched reluctance motor phase current reconstruction method with fault tolerant function, which changes the installation position of a current sensor to reconstruct phase current by solving linear equation sets in different conducting intervals. The method is carried out through the following steps: for the bias fault of a current sensor, based on current differentials at the three consecutively rising positions of the driving signal in each circuit, positioning the bias sensor; calculating and updating the bias current value in real time; directly utilizing current compensation or bias current proportional integral compensation to eliminate bias current; for short-circuit fault of chopper tube in a power converter, diagnosing the fault through the use of the synchronization and out-of-step relationship between the phase-current gradient and a chopping signal; for short-circuit fault of a positional communication tube, diagnosing the fault through the use of the duration of the lasting time of an adjacent negative voltage lasting interval and using a virtual sensor method to realize phase current fault tolerant reconstruction. According to the invention, the reconstruction method is free of the impacts of a main switch open-circuit fault and can be applied to a switched reluctance motor of various phases. With the method, accurate current can be reconstructed. For its strong error tolerant performance and ease for expansion, the method has good prospects in engineering applications.

The invention relates to a one-key sequential control double-confirmation system and method based on disconnecting switch position intelligent identification. A sequential control monitoring host confirms the isolation switch needing sequential control operation, and transmits the serial number and the on-off state of the isolation switch needing to be operated to a video monitoring host; the video monitoring host calls a corresponding preset position of the camera according to the serial number of the isolating switch, acquires a real-time video, sends the video to an intelligent analysis host for analysis, and writes an analysis result is written into a file in an e format; a judgment result file is transmitted to the sequential control monitoring host through a reverse isolation device,and the sequential control monitoring host analyzes the result file to obtain an isolation switch position and remote signaling for dual confirmation. One-key sequential control requires sequential control operation to obtain double confirmation of non-homologous signals, video image recognition is adopted as a second criterion, and the system has the advantages of being accurate in judgment, completely independent in installation, free of power failure, convenient to maintain, safe and reliable.

The invention discloses a honeycomb rescue type unmanned aerial vehicle cloud computing platform. The platform comprises an unmanned aerial vehicle control unit, a peripheral unit and a cloud computing unit, the unmanned aerial vehicle control unit comprises an unmanned aerial vehicle microcontroller, a motor, a propeller, an unmanned aerial vehicle body, an image acquisition module, a pyroelectric sensor, a high-precision locator, an unmanned aerial vehicle extension board, a flight control image transmission module, a wireless transceiver and an audible-visual alarm, the unmanned aerial vehicle peripheral unit comprises a firefighting torch, an emergency escape hammer, a firefighting self-rescue respirator, an unmanned aerial vehicle body, a peripheral foldable body controller and an air filter etc., and the unmanned aerial vehicle cloud computing unit comprises a wireless transceiver, a cloud computing firefighting central control command platform, a data processing module, a data analysis module, a scene display module and a remote command control module. According to the platform, unmanned aerial vehicles are commanded in a remote manner through a computer cloud computing network, fire operation tasks can be rapidly responded, casualties can be reduced, the system robustness is high, and the application prospect is wide.

The invention discloses an external load real-time identification method based on a truncated response sparse decomposition method, belonging to the field of external load identification, which solvesthe technical problem of long-time external load real-time identification. The method comprises the following steps: (1) adopting an accelerometer to pick up the dynamic response of a structure in real-time; (2) a finite element model being established according to the structural design parameters; (3) the modal parameters of the structure being obtained by a field test, the finite element modelbeing modified according to the measured modal parameters, and the frequencies and modes of the structure being calculated by the modified model; (4) real-time interception of response data by rectangular windows; (5) the truncated response sparse decomposition method being used to identify the external loads corresponding to the current rectangular window; (6) moving the rectangular window to intercept the new response data, and repeating the recognition process until the task is finished. The invention can realize the real-time identification of the long-time external load under the condition of the unknown initial condition.

The invention discloses a method for diagnosing and positioning faults of two position sensors of a four-phase switch magnetic resistance motor. The method is suitable for diagnosing and positioning the faults of the two position sensors of a rotary or linear switch magnetic resistance motor with four and quadruple of four phases and a plurality of topology structures. The method comprises the following steps: judging whether position sensor faults exist according to the sequence of two adjacent edge pulses of output signals of the two position sensors, setting a fault diagnosing and buffering zone, avoiding the occurrence of incorrect diagnosis, and positioning the faults of the position sensors by distinguishing the output signals of the position sensors of an edge pulse source; the method can be used for diagnosing and positioning faults of one position sensor or the two position sensors; diagnosing and positioning results are not influenced by the speed change of constant speed, acceleration and deceleration of the motor. The diagnostic method is reliable, is high in practicability and has wide engineering application value.

The invention discloses a tritium removing treatment device and method for tritium-containing water. A reliable solution is provided for solving the problem that processes for treating the tritium-containing water in nuclear power plants lack. The device comprises a feeding system, a water distillation unit, a cascade system, a combined electrolysis catalytic exchange unit, a tritium water storagecontainer and a heat pump energy-saving system. A two-stage treatment process is adopted, and water distillation serves as a primary depletion and volume reduction process to achieve standardized emission depletion of large-volume low-concentration tritium-containing water; a combined electrolytic catalytic exchange process serves as a secondary high-efficiency volume reduction process to achievethe depletion and volume reduction treatment of the tritium-containing water with different multiples. The method has the advantages that the flow is simple, the device is convenient to operate, thesystem stability is good, and the volume-reduction and depletion factors are high; the depletion and volume reduction treatment of the tritium-containing water can be effectively achieved, and the method has wide engineering application value.

The invention discloses a fast arc extinguisher, a medium and low voltage metal switch cabinet and an application method of the fast arc extinguisher. A three-phase opening and closing operating mechanism with electromagnetic repulsion coils is arranged on a bracket of the fast arc extinguisher, and the electromagnetic repulsion coils of the three-phase opening and closing operating mechanism areconnected in series to form a three-phase integrated electromagnetic repulsion coil; the medium and low voltage metal switch cabinet comprises a medium and low voltage metal switch cabinet body and the above-mentioned fast arc extinguisher; and the application method includes the step of performing closing and grounding on three-phase lines of the medium and low voltage metal switch cabinet. According to the scheme of the invention, the three-phase simultaneous closing action can be completed within 5ms to perform fast arc extinguishing, so that the personal safety threats of arc faults to theequipment and the operation and maintenance personnel can be effectively reduced, and wide engineering application values can be achieved; and the scheme of the invention has a function of fast opening, can complete opening within 10ms, is favorable for restarting a power distribution system, can be repeatedly used, and can further reduce the maintenance cost of a novel fast arc light protectionsystem after operation.

The invention discloses a fault diagnosing and positioning method for four position sensors of a four-phase switch reluctance motor. The method is suitable for fault diagnosing and positioning of the four position sensors of the rotating type or linear type switch reluctance motor in four phases or phases of which the number is the multiple of four and of various topological structures. Whether the position sensors break down or not is judged according to the sequence of two adjacent rising edge pulses of output signals of the four position sensors, a fault diagnosis buffering zone is set, incorrect diagnosis is avoided, the faults of the position sensors are positioned by distinguishing the position sensors output signals which the rising edge pulses come from, the fault diagnosing and positioning method can be used for fault diagnosing and positioning of the single position sensor, the two position sensors, the three position sensors and the four position sensors, diagnosing and positioning results are not affected by the speed changes of the constant speed, acceleration, deceleration and the like of the motor, and the diagnosing method is reliable, high in practicability and wide in engineering application value.

The invention discloses an automatic control system of bubbling irrigation and sprinkling irrigation, which comprises a signal processor, an output control circuit, and a monitoring host, wherein the signal processor is used for receiving electric signals sent by each sensor and filtering, amplifying and driving the signals; the output control circuit is used for executing actions of a contactor, a thermal relay and a time relay of each water pump and adjusting and controlling pipeline pressure of a bubbling irrigation pump and a sprinkling irrigation pump through a frequency converter; and the monitoring host is used for performing data acquisition, filtering, processing and analysis on multi-path sensor signals after the processing by the signal processor and finishing the settings of working parameters and working modes, and uses the output control circuit to perform frequency conversion control on the bubbling irrigation pump and the sprinkling irrigation pump. The control system has the advantages of stable and reliable performance, water conservation and energy conservation, and can be widely applied to large areas of farm irrigation projects in northern provinces lack of water resources in China.

The invention discloses an aero-engine load spectrum hybrid distribution model building method related to use. The method comprises the following steps of: firstly, dividing a take-off section, a middle section and a landing section of normal overload and rotation spectrums of all flight mission profiles; splicing all the sections and the middle sections of all the maneuvering sections to obtain aspliced spectrum and a maneuvering middle section spliced spectrum; performing statistical analysis on all profile splicing spectrums, and determining that normal overload has a thick tail characteristic through thick tail detection; secondly, extracting normal overload coefficient values corresponding to the 100% rotating speed position in the maneuvering middle section spliced spectrum to serveas a threshold value database, and adopting the normal overload coefficient value with the highest occurrence frequency in the threshold value database as the threshold value of the normal overload coefficient mixed distribution model of the aero-engine; finally, defining normal overload coefficients greater than a threshold value in all the profile splicing spectrums as extreme value loads, anddefining normal overload coefficients lower than the threshold value in all the profile splicing spectrums as medium and low loads to obtain mixed distribution of the medium and low loads and the extreme value loads.

The invention discloses a rigidity-adjustable water lubricating stem bearing. The stem bearing comprises a bearing sleeve, bearing supports and rigidity-adjustable bearing bushes. Each rigidity-adjustable bearing bush is of a flexible structure with an airtight cavity. The rigidity-adjustable bearing bushes are fixedly connected in the bearing sleeve through the bearing supports. The rigidity-adjustable bearing bushes are distributed in the circumferential direction of the bearing sleeve. The surfaces of the rigidity-adjustable bearing bushes are higher than the inner diameter surface of the bearing sleeve. A flow partition water groove is formed between every two adjacent rigidity-adjustable bearing bushes. The rigidity-adjustable bearing bushes can be used for adjusting the rigidity of the bearing in the manner that high-pressure gas is changed in and discharged from the airtight cavities of the rigidity-adjustable bearing bushes. By means of the rigidity-adjustable water lubricating stem bearing, the problems that the maintenance period is long and the maintenance workloads are large when an existing water lubricating stem bearing is replaced or maintained, and the rigidity of the water lubricating bearing cannot be adjusted to adapt to vibration of a stem shaft system can be solved.

The invention discloses a feeding and paint mist recovery protective cover system of a ship shell plate towing spraying type robot and an operation method of the feeding and paint mist recovery protective cover system and belongs to the technical field of ship shell plate spraying intelligent devices in ship and ocean engineering. The feeding and paint mist recovery protective cover system mainly comprises a spraying and protective cover part, a spraying feeding part, a paint mist vacuum recovery part, a towing pipeline bending moment and winding prevention part and the like and has the technical characteristics that by fully considering the practical engineering application requirements and the economy, the structure is simple and novel, the functions are perfect, and the operation is convenient; by utilizing a robot to carry a spraying gun and a thin-walled hemispherical protective cover which carry out large-span operation with always left-and-right movement and a towing pipeline bending moment and winding prevention connection device, the problems of atmospheric pollution due to paint mist, robot carrying body protection, warping or winding of a towing pipeline and damage of a sprayed region are well solved; and the feeding and paint mist recovery protective cover system has the advantages of safety, reliability, high efficiency and the like and has a high engineering application value.

The invention discloses a fabricated specially-shaped roof structural system and a construction method thereof. The fabricated specially-shaped roof structural system comprises multiple prefabricatedassembling units of independent structures, wherein the multiple prefabricated assembling units are disposed according to a predetermined order; two adjacent prefabricated assembling units are connected in a fabricated manner; each of the prefabricated assembling units comprises a polygonal-structured frame body; a first connection plate and a second connection plate are respectively arranged on apair of opened surfaces of the frame body; the first connection plate and the second connection plate are fixedly connected with the frame body respectively; a filling body is arranged among the first connection plate, the second connection plate and the frame body; the frame body comprises multiple assembling ribbed plates connected end to end; and mounting holes for connection are formed in theassembling ribbed plates. The fabricated specially-shaped roof structural system is reasonable in structural stress and high in structural rigidity; a node can be simplified; an internal force is uniformly distributed, and a spatial effect is obvious; the construction period can be shortened; the weight of the structure is reduced; materials and energy are saved, so the whole construction cost isreduced; and the fabricated specially-shaped roof structural system is high in practicability and worthy of being popularized.

The invention discloses a fault diagnosis and positioning method for a three-phase switch reluctance motor position sensor. The method is suitable for performing fault diagnosis and positioning on three-phase times-of-three-phase various-topology structure rotary or linear switch reluctance motor position sensors. According to two edge pulse sequences adjacent to an output signal of the position sensor, whether a fault occurs on the position sensor or not is judged, and a fault diagnosis buffering region is set to avoid mistaken diagnosis; through distinguishing the output signal, of an edge pulse source, of the position sensor, the fault of the position sensor is positioned. The fault diagnosis and positioning method can be used for performing fault diagnosis and positioning on a single position sensor or multiple position sensors, speed changes of a motor do not affect diagnosis and positioning results, and the diagnosis method is reliable and high in practicability and has great engineering application value.

The invention provides a prediction method for three-dimensional statistical distribution of rock fracture network occurrence. The method comprises the steps that a measuring line for observing rock in the field is arranged, fractures intersecting with the measuring line are collected, inclining directions, inclining angles and sizes of the fractures are measured, a mean value of the sizes of the fractures is calculated, and the number of samples of the inclining directions and the inclining angles is counted; the pitch direction, pitch angle and width of the measuring line are measured; whether the inclining directions and the inclining angles of the fractures are randomly distributed in probability space is judged; whether the order of magnitudes of the width of the measuring line is smaller than the order of magnitudes of the mean value of the sizes of the fractures is judged; the inclining directions and the inclining angles of the fractures are converted into polar points through stereographic projection, and observation frequency of all the polar points is acquired; sine values of intersection angles are calculated; a deviation compensation coefficient of the observation frequency of the polar points is calculated; and initial prediction frequency of the polar points is calculated, and prediction frequency of the polar points is obtained through a round-off integer method according to the initial prediction frequency. Through the method, three-dimensional statistical distribution of fracture occurrence can be accurately predicted.

The invention discloses an entire load spectrum compiling method for a bridge type crane based on clustering analysis. The entire load spectrum compiling method specifically comprises the following steps: selecting a hoisting load and a load displacement of the bridge type crane as input parameters; then classifying the load by statistical data according to a clustering analysis method; classifying the load displacement by the statistical data according to the clustering analysis method; finally statistically calculating the life span of each stage of load in the load displacement range according to the classification results of the load and the load displacement, and compiling a load spectrum of the entire bridge type crane. The load spectrum compiled by the clustering method is higher in applicability. The method is simple, feasible and applicable; a reliable basis is supplied to estimation of the service life of the crane.