292results about How to "Less restrictive" patented technology

The invention discloses a gaze estimation method. The gaze estimation method comprises the following steps: finding out calibration error by aligning; then estimating the distance between a face plane and a screen and establishing a three-dimensional model to obtain optical axis information of eyeballs by offset correction of the head and rotary correction of the head; and finally, obtaining the position of a fixation point. According to the gaze estimation method, only a camera is used and no auxiliary equipment is needed; the aim of furthering increasing the estimation precision is achieved by using a correction link by a user; in addition, due to the utilization of estimation of the distance between the face plane and the screen and the offset and rotation correction of the head, limiting conditions are reduced as much as possible, a comfortable use environment for a user is provided and the gaze estimation method has better precision and adaptability of the head motion; and on the basis of an eyeball of a human eye, the gaze estimation method based on a three-dimensional model is established so as to achieve the aim of increasing the estimation precision. According to the gaze estimation method, extra auxiliary equipment is reduced, the adaptability to the head motion is improved, and the better precision for sight light estimation is obtained.

The invention relates to a motor vehicle travel route determination method based on historical data, which assumes that the travel time of a road section is mutually independent, and is in normal distribution, and the congestion probability is mutually independent, and particularly comprises the following steps that: step 1, setting the origin point and the destination point, resolving traffic network balance problem considering section capacity restrain to obtain a candidate route set and section congestion waiting time, for candidate routes, evaluating the steering delay at crossings, calibrating the difference of the expected value of the travel time of the road section and the standard, and taking the road section lower than 10km / h as a congestion road section to calculate the congestion probability of the road sections; step 2, respectively resolving the waiting time of the candidate routes, determining the travel time distribution of the candidate routes to obtain the alpha-position travel time of the candidate routes, and calculating the congestion probability of the candidate routes; and step 3, displaying the alpha-position travel time, the congestion probability and the waiting time of the candidate routes according to the small to large order of the alpha-position travel time of the candidate routes, and selecting the travel route by a user from the candidate routes.

The invention discloses an ultra-short term wind power forecasting method based on a time series method. The forecasting method comprises the following steps: 1. gathering wind measurement data of an anemometer tower adjacent to a wind power station; 2. processing data: carrying out smoothing and stabilizing treatments on the wind speed recorded by the anemometer tower; 3. carrying out wind speedprediction modeling by utilizing the time series method, respectively modeling the wind speed data subjected to the smoothing and stabilizing treatments in the step 2 according to a forecasting time resolution, and establishing 16 prediction models, and figuring out the forecast wind speed within 0-4 hours; and 4. calculating the ultra-short term wind power: calculating the prediction models which are used for forecasting the wind speed input wind power to obtain a wind power prediction result within the forecast validity. By utilizing the method provided by the invention, the wind power output within 0-4 hours of the wind power station can be forecast in a rolling mode, reasonable data support can be provided for electric network frequency modulation and the maintenance of the stable operation of the electric network, so that a dispatching department can adopt solutions in advance for various mutational situations caused by haste changes of the wind power during the electric network operation by the dispatching department.

The invention discloses a pixel driving chip and method and a pixel structure. By means of the pixel driving chip and method and the pixel structure, voltage compensation higher in controllability and better in flexibility is achieved. The pixel driving chip comprises a control module, an acquisition module, a calculation module, a storage module, a compensation module and an output module, wherein the control module is used for generating and outputting a voltage drive signal and controlling a driving transistor to be in the corresponding test state; the acquisition module is used for acquiring the source electrode test voltage of the driving transistor in the test state; the calculation module is used for calculating a voltage compensation parameter according to the source electrode test voltage, wherein the voltage compensation parameter is the voltage drop, corresponding to the power source voltage, of the threshold voltage of the driving transistor and / or a source electrode of the driving transistor; the storage module is used for storing the voltage compensation parameter; the compensation module is used for conducting voltage compensation on a source data signal by means of the stored voltage compensation parameter, so that a target data signal is obtained; the output module is used for outputting the target data signal to a grid electrode of the driving transistor. By means of the pixel driving chip and method and the pixel structure, flexibility and controllability of voltage compensation are improved.

The invention discloses a preparation method of a super-hydrophobic super-oleophobic polymer nano-coating. The polymer nano-coating is a film of a fluorine-containing acrylate-based polymer and has anano-structure. The preparation method is an initiating chemical vapor deposition method and comprises putting a base into a reaction chamber, vacuumizing the reaction chamber to a vacuum state, feeding a precursor comprising an initiator, a crosslinking agent and a monomer into the chamber, and making pressure, a heat source temperature, a distance between a heat source and a base, and a base temperature reach to preset values, wherein the initiator gas molecules in the chamber can crack at a high temperature into primary radicals and the primary radicals and a monomer adsorbed on the surfaceof the sample undergo an in-situ polymerization reaction to produce a polymer film. Through adjustment of conditions, the nano-topography of the nano-coating is adjusted. The super-hydrophobic super-oleophobic polymer nano-coating prepared through the preparation method has excellent super-hydrophobic super-oleophobic effects and can be used in the fields of electronic devices, medical equipment,bio-bionics, textiles and garments.

The invention discloses a method for forecasting short-term wind-electricity power. The method comprises the following steps: (1) acquiring data of global large-scale weather forecast fields; (2) establishing an RAMS model which calculates forecast fields such as wind speed, temperature, air pressure, and the like by using the following equation set; (3) inputting the data of the large-scale weather forecast fields acquired in step (1) into the RAMS model established in step (2) to acquire wind direction-wind speed forecast data within the range of a wind-electricity field; (4) establishing a wind-electricity power statistical model by using a BP neural network and combining historical forecast data of the wind speed, wind direction and the air pressure within the range of the wind-electricity field and power recording data of the wind-electricity field in the same period; and (5) taking the wind direction-wind speed data of a forecast date as original parameters and inputting the data into the wind-electricity power statistical model to calculate the wind-electricity power forecast result of a forecast day. Due to adoption of 90-meter resolution topographic data, the method can calculate regions of flat terrain, hilly terrain, complex terrain, and the like by using different resolutions, and has the advantages of flexible forecast scheme and less limiting condition.

A smart watch capable of wireless charging includes a bezel which functions as a smart function operation circuit and a touchable display and a wrist band connected to the bezel. The bezel is separated from a power receiving coil.

The invention discloses a city signalized intersection optimal vehicle speed guiding algorithm and system based on vehicle-road cooperation. The optimal vehicle speed guiding algorithm does not comprise basic assumptions that overtaking and lane changing of vehicles are not allowed, and all the vehicles abide by vehicle speed guiding in previous studies, calculation is continuously conducted according to the current positions of the vehicles by means of real-time refreshing of the vehicle speed guiding system, and the limiting conditions of a model is reduced. Meanwhile, the influence generated by the fact the vehicle speed is low when the vehicles turn in the actual driving process is taken into account, and the influences generated by the speed reducing process when the left-turning vehicles and the right-turning vehicles reach the stop line and the fact that the speed is lower than the straight going speed when the queue clearance vehicles pass through the stop line are taken into account in calculation. In the system, design and development of the vehicle speed guiding system from a theoretical model to real equipment are completed, a mature and economic scheme which is feasible under the current actual conditions is proposed, and a basic vehicle-road cooperation function can be achieved at low cost.

The invention discloses a gas leakage source positioning method. The method comprises the following steps: 1, carrying out area division on a monitoring plant, and deploying sensor nodes; 2, establishing a three-dimensional space coordinate system; 3, establishing a gas diffusion model; 3, determining a leakage positioning technology process; 5, establishing a search model; and 6, determining theintensity and the position of a leakage source. Compared with the prior art, the method disclosed in the invention has the advantages of low cost, easiness in deployment, low monitoring area restriction conditions, wide application, high positioning precision and fast positioning speed.

The invention discloses a genetic algorithm-based three-dimensional static wireless sensor network deployment method, solving problems of low coverage rate, poor connectivity, and high energy consumption and cost in the existing wireless sensor network deployment method and belonging to the technical field of wireless sensor network deployment. According to the method, a three-dimensional space in a target area is divided into a plurality of areas; topological deployment of a three-dimensional static wireless sensor network is carried out in each area by using the genetic algorithm, and wireless sensor nodes in topological deployment are communicated, so as to reach area communication; a minimum spanning tree of each area communication is generated so as to find an optimal base station position; and wireless sensors in a forest three-dimensional space are communicated 100% through intercommunication of optimal base station positions of all areas. The method is used for modeling of a three-dimensional static wireless sensor network topology in a large area.

The invention discloses a system for remote electrocardiographic monitoring for area-end networks, which comprises an ECG (electrocardiograph) user terminal, a transmission module and a remote monitoring terminal. The ECG user terminal comprises an electrocardiosignal acquirer, a microcontroller and a signal processing module. The electrocardiosignal acquirer is used for detecting electrocardiosignal of a user, the signal processing module is used for eliminating interference, eliminating baseline drift and detecting and positioning QRS complex, the microcontroller is used for receiving processed electrocardiosignal and automatically analyzing heart rate to transmit abnormal electrocardiosignal to the remote monitoring terminal through a GSM (global system for mobile communication) network and / or internet, the remote monitoring terminal is used for automatically analyze the electrocardiosignal and feeding back results to the ECG user terminal. The system is high in interference resistance, and only transmits abnormal electrocardiosignal to the remote monitoring terminal, so that load of the remote monitoring terminal is reduced and work load is reduced for doctors. The invention further discloses a method for remote electrocardiographic monitoring for area-end networks.

The invention relates to a method for paving combined anti-push structures on the surface of a large-span steel box girder bridge, including the following steps: 1) pretreating the armor plates of the large-span steel box girder bridge; 2), welding shear studs: welding shear studs on the armor plates of the large-span steel box girder bridge, with an interval at area of (35-45)cm X (35-45)cm between two shear studs; 3) colligating the reinforcement mats: fixing the reinforcement mats at specification of (95-105)cm X (95-105)cm on the shear studs; 4) mineral aggregate grading; 5)preparing and paving cast-type asphalt concrete; 6) paving a waterproof bond coat; and 7)paving anti-skid denoising wearing layer: paving a anti-skid denoising wearing layer at thickness of 3-5cm on the waterproof bond coat. The method has the advantages that cohesiveness at the interfaces is good, the paved layer and the armor plates are strong in coordinated deformability, and construction process is simple and convenient.

The invention discloses a composite powered calcium sulfate sewage treatment agent and a method for preparing the same. The sewage treatment agent comprises the following materials in weight portion: 5 to 10 portions of tartaric acid, 3 to 5 portions of malic acid, 60 to 70 portions of calcium sulfate, 10 to 15 portions of magnesium carbonate, 10 to 20 positions of calcium carbonate, 10 to 20 portions of ferric chloride, 10 to 20 portions of calcium oxide and 2 to 3 portions of polyacrylamide. The method is to mix the materials. Compared with the prior art, the sewage treatment agent and the method have the advantages of multifunction, high efficiency, environment protection, quick sewage treatment speed, short treatment time, broad-spectrum and high-efficiency removal of various pollutants and harmful substances and strong adaptively to the sewage muddiness, wide pH value range and wide water temperature change of the sewage. The sewage treatment agent and the method have high alkalization degree, small corrosion, convenient production and no pollution in the production process, simple product package, convenient transportation and low composite cost.

The invention discloses a double-conjugation pumping modulating signal all-optical regeneration device based on an optical frequency comb. The all-optical regeneration device comprises a pumping laser device, the optical frequency comb, a photodecomposition multiplexer, a first coupler, erbium-doped optical fibers, a second coupler, a first section of HNLF, a wavelength selective switch, a second section of HNLF and a light bandpass filter. The device can be used for phase position regeneration of various degraded QPSL signals (including DQPSK) in a high-speed optical fiber communication network, so that influence on performance of an optical communication system by phase noise is reduced, the all-optical relay transmission distance is improved, and the error rate of a receiver is reduced. The invention further discloses a double-conjugation pumping modulating signal all-optical regeneration method based on the optical frequency comb. The double-conjugation pumping modulating signal all-optical regeneration device has the advantages of being concise in structure, stable in performance, easy to operate, remarkable in regeneration effect and the like.

The embodiment of the invention discloses a navigation method, device, equipment and system and a storage medium. The method comprises the following steps: acquiring a global static map of the self-moving equipment in a driving environment, and dynamic point cloud data of each dynamic obstacle in the driving environment acquired by each laser radar arranged in the driving environment; generating aglobal cost map according to the dynamic point cloud data and the global static map; and determining a navigation path from the starting point to the destination of the mobile device according to theglobal cost map. According to the embodiment of the invention, the navigation path is planned based on the global cost map determined by the data collected by the laser radar in the driving environment; the condition that the self-moving equipment cannot normally pass due to the fact that the obstacles in the driving environment are not known in time is avoided, the driving efficiency and the passing rate of the self-moving equipment in the driving environment are improved, the condition limitation on the self-moving equipment is reduced, and the possibility is provided for simultaneous navigation of multiple pieces of self-moving equipment.

The invention discloses a dimensional and planar object pose recognition method, which does not need the prior matching information of any object point and image point. In the method, the pose is calculated based on a plane point set, which is independent of the geometric shape of a planar object; the ambiguity problem under the calculation of the pose of the planar object is solved through the calibration of Tsai planar targets. As no additional diagnostic information is needed in the method, the conditional restrictions of computing the poses of dimensional and planar objects are reduced; the application scope of computing poses is widened; the method is very robust in blocked and confused environment under the circumstance of noise with different levels, which is very valuable in application.

The application relates to the field of landform segmentation and identification technologies, in particular, to a machine-vision-based land use planning method and system, and an electronic device. The method comprises: collecting landform image data of a target area; constructing a convolutional neural network model based on a regional convolution neural network branch and an object area full-convolution branch; inputting the collected landform image data into the convolutional neural network model based on a regional convolution neural network branch and an object area full-convolution branch, extracting landform features of all landform objects in the landform image data by the convolutional neural network model, carrying out landform object classification and landform region segmentation based on the landform features; and determining landform composition of the target area based on the landform object classification and landform region segmentation results and carrying out land use planning on the target area. Therefore, lots of manual outdoor surveying and mapping work is reduced; the restrictions of application scenes are reduced; the application range is extended; and therecognition accuracy is improved.

The invention provides a large-amplitude free vibration wind tunnel test device with three degrees of freedom, and belongs to the technical field of wind tunnel test devices for bridges. The large-amplitude free vibration wind tunnel test device which is a large-amplitude free vibration wind tunnel test device with three degrees of freedom coupling for bridges comprises a rigid test model, a rigidround bar, a rigid suspension arm, arc blocks with grooves, light high-strength strings, linear extension springs, fixed pulleys and a bearing. The large-amplitude free vibration wind tunnel test device has the advantages that the problem of incapability of guaranteeing the linear vertical rigidity, the linear torsional rigidity and the linear lateral rigidity due to down warping of lateral springs horizontally arranged in the traditional vibration test device with three degrees of freedom and lateral tilting of vertical springs under large-amplitude conditions can be effectively solved by the aid of the large-amplitude free vibration wind tunnel test device; the large-amplitude free vibration wind tunnel test device is simple and is convenient to mount, initial attack angles are easy toadjust, down warping and tilting of the springs are prevented in vibration procedures, accordingly, the linear rigidity and stable vibration frequencies of systems still can be guaranteed even in large-amplitude vibration procedures, and research on the three-dimensional nonlinear pneumatic characteristics of the bridges becomes possible under large-amplitude conditions.

The invention discloses a pressure-driven impulse type pipeline washing brush which comprises a rotary shell, a front end cover, a rear end cover, a center shaft, a pressure pipe and at least two elastic brushes. The rotary shell is a hollow cylinder. The front end and the rear end of the rotary shell are sealed by the front end cover and the rear end cover correspondingly. The hollow center shaft stretches into an inner cavity of the rotary shell from the outside. Multiple nozzles in the same direction are arranged in the side wall of the rotary shell. An inner cavity of the center shaft and the inner cavity of the rotary shell communicate with the nozzles in sequence. The outer end of the center shaft is connected with a water feeding hose. The water feeding hose is used for access of high-pressure media. Rotating and advancing power is provided for the rotary shell through reacting force formed when nozzles eject the high-pressure media. The elastic brushes are fixed to the rear end of the rotary shell in the circumferential direction in a surrounding mode. Rotating and advancing power is formed when high-pressure liquid or gas is jetted by the nozzles to drive the elastic brushes to clean the inner wall of a pipeline, meanwhile, the media ejected by the nozzles can form an impulse type high-pressure washing effect on the inner wall of the pipeline, and the pressure-driven impulse type pipeline washing brush has the advantages that the cleaning effect is good, and the bent pipe passing rate is high.

The invention relates to a coal and rock identification method based on laser scanning. The reflectivity of the coal surface to scanning laser beams from different distances and the reflectivity of the rock surface to scanning laser beams from different distances are measured through the laser scanning technology respectively, and the three-dimensional morphology information of the surfaces of a coal sample and a rock sample scanned by lasers is acquired in real time; the changing relation between the distance and the reflectivity of laser scanning of standard coal and standard rock is established, and reflectivity correction coefficients corresponding to different surface three-dimensional morphologies of the standard coal and the standard rock from different distances are determined; a characteristic database for the distance and reflectivity of laser scanning corresponding to the standard coal and the standard rock with different surface three-dimensional morphologies is established, while on-site coal and rock objects are identified, the actually measured characteristic values of the surfaces of the coal and rock objects are compared with the coal and rock standard characteristic data measured earlier, and thus the coal and rock type can be identified fast in real time. The method has the advantages of being simple, high in calculation speed, automation degree and accuracy rate and suitable for identifying the coal and rock types in complex environments.

The invention discloses a special material for a composite glass fiber heat-insulation strip using high-fluidity high-temperature nylon resin as a matrix. The material comprises the following components: 72-77.5wt% of high-fluidity high-temperature nylon, 22-27.5wt% of glass fiber, 0.05-1wt% of a fiber treating agent, 0.1-2wt% of a coloring agent, 0.1-1wt% of an antioxidant, 0.05-1wt% of a plasticizer, 0.05-1wt% of a coupling agent and 0.1-1wt% of additives. The invention also discloses a polymerization method of high-fluidity high-temperature nylon and a preparation method of the special material for the heat-insulation strip. Since a melt of the high-temperature nylon adopted in the material has good fluidity so that the process is simple, the energy consumption can be reduced, the cost conservation is achieved, the added aid is protected from being decomposed at a high temperature to cause failure and meanwhile, the prepared special material for the heat-insulation strip has excellent performance, high strength and good dimensional stability and the excellent performance can be still maintained at large temperature difference.

The invention relates to the technical field of harbor transportation management, in particular to a harbor anchored ship monitoring method and system and electronic equipment. The harbor anchored ship monitoring method comprises the steps of a, acquiring harbor anchored ship data through a camera shooting device; b, constructing a neural network model based on 'a full convolutional network + a regional target network branch'; c, inputting the harbor parked data into the neural network model based on 'the full convolutional network + the regional target network branch', wherein the neural network model based on 'the full convolutional network + the regional target network branch' conducts ship object regional segmenting and ship type classification according to the harbor anchored ship data, and the harbor anchored ship state is calculated according to the ship object regional segmenting result and the ship type classification result. By means of the harbor anchored ship monitoring method and system and the electronic equipment, the congesting state of a current harbor dock can be automatically and accurately evaluated, limiting conditions of an application scene are smaller in quantity and are more intelligent and more convenient, and the harbor anchored ship monitoring method and system are conveniently and widely applied.

The invention discloses a non-in-situ prepressing method of a self-anchored type support frame and the self-anchored type support frame thereof. The method comprises the following steps: firstly, carrying out design of the self-anchored type support frame according to the self gravity of a structural object; processing and producing the self-anchored type support frame in a factory; distributing equipment such as the support frame, jacks and the like according to a non-in-situ prepressing distribution drawing of the self-anchored type support frame for carrying out non-in-situ prepressing in the factory; sequentially and progressively applying loads for carrying out prepressing; and observing the deformation quantity of the self-anchored type support frame and determining the pre-bulge degree of the support frame: determining the elasticity deformation quantity and the non-elasticity deformation of the self-anchored type support frame, simultaneously combining the support frame mechanics for calculating the obtained flexibility, and carrying out integral analysis to determine the pre-bulge degree of the self-anchored type support frame. The invention can effectively solve the prepresing problem in the high-pier large-tonnage structural object support frame construction, can also save the construction cost to a large degree on the premise of ensuring the engineering construction quality, can simultaneously shorten the structural object construction period, and can create good economic benefits.

A homography matrix H computing method of a single line array camera applies a cross-ratio invariance principle and given four line calibration plates, wherein four lines meet the following rules (shown in the description), a (x, y, z) coordinate on a D4 line is calculated according to a line array camera imaging characteristic, the cross ratio of four collinear points in an image plane and application of the cross-ratio invariance, and a homography matrix H is further calculated.

The invention provides on a quadrotor unmanned aerial vehicle parameter identification method based on an extreme value search algorithm, relates to the field of system identification, and aims to solve the problem that a quadrotor unmanned aerial vehicle physical parameter is unknown or cannot be accurately measured. The method comprises the steps that a dynamic model of a quadrotor unmanned aerial vehicle is established through mechanism modeling, and relevant parameters needing to be identified are selected according to the established model; an objective function of the quadrotor unmannedaerial vehicle parameter identification is established based on the extreme value search algorithm; two sets of excitation signals are input into the model, gradient information of the unmanned aerialvehicle parameter identification objective function is extracted through the extreme value search algorithm, and is searched along a negative gradient direction until reaching near an extreme value,and a corresponding model parameter is obtained. The quadrotor unmanned aerial vehicle parameter identification method based on the extreme value search algorithm has the advantages that priori knowledge of un-dependent parameter is provided, different from an existing method for using a quadrotor unmanned aerial vehicle model to perform approximate linearization, an accurate unmanned aerial vehicle nonlinearity model parameter can be obtained; the closed-loop multi-parameter identification has fewer restricted conditions, and coupled input data can be identified.

The invention discloses a nonlinear system robust self-adaption tracking and controlling method based on unknown target traces. The nonlinear system robust self-adaption tracking and controlling method based on the unknown target traces comprises the following steps: step one, establishing a mathematic model of a multi-input and multi-output nonlinear system which has actuator faults; step two, establishing a model for estimating the ideal trace of the unknown target, wherein an estimated target trace obtained by the model is close to an ideal target trace; and step three, designing a robust self-adaption fault-tolerant controller. By the nonlinear system robust self-adaption tracking and controlling method based on unknown target traces, the estimated unknown target trace can be obtained, and is clear to the ideal target trace; 'virtual control gain' is subjected to matrix decomposition skillfully by the designed controller, so that limitation to conditions of a gain matrix in other control methods is greatly reduced; and finally, under the conditions that the system simultaneously has actuator faults, parameter uncertainty and external interferences and the tracked target trace is unknown, asymptotic tracked steady-state performance can still be obtained, and therefore, a closed-loop control system has robust self-adaption effect on an uncertain model and unknown interference.

The invention relates to a privacy protection table data sharing algorithm based on clustering anonymity, and the method comprises the steps: firstly carrying out the clustering of records in a tablethrough a k-medios clustering algorithm, and obtaining a plurality of data tables; performing anonymous processing on each data table in combination with the information loss amount to generate an anonymous data table; finally, adding noise to the sensitive attribute values in the anonymous data table, carrying out algorithm verification through example analysis and comparison with a classic k-anonymous algorithm MDAV. The availability and privacy of the algorithm are proved, and the algorithm has high application and popularization value.

The corn flour producing process includes the following steps: soaking corn grains in water, blanching at 80-100deg.c for 1-3 min, soaking in water with sodium percarbonate in 0.1 wt% of corn and water at 28-60deg.c for 30-60 min, water washing, soaking in water with lactic acid bacteria in 0.01 wt% of corn and water at 28-60deg.c for 24-72 hr, water washing, milling into milk in a mill, taking 80 mesh below slurry, dewatering and drying to obtain corn flour in 3-8 %, cooling and packing. Thus produced corn flour is delicious, and has the whole nutritious components of corn maintained, and is favorable to transportation and storage.

The invention relates to a blue screen image matting method based on chroma overflowing processing. The blue screen image matting method is characterized by comprising the following specific steps: dividing a foreground image to be subjected image matting into a non-transparent region, a semi-transparent region and a full-transparent region, and displaying a region division result; calculating based on a sampled Alpha value; calculating the Alpha value of each point of the foreground image; loading a background image used for being synthesized with the foreground image; synthesizing the foreground image and the background image; calculating a RGB color value of each pixel point of the synthesized image; and carrying out the chroma overflowing processing on each pixel point of the synthesized image. According to the method, only simple input needs to be carried out before photographing, namely the image matting and the chroma overflowing processing can be automatically finished; with regard to the image with the more serious chroma overflowing phenomenon, the more satisfied effect can be obtained.

The invention discloses a method for determining initial prestress distribution of a cable-pole tensile structure, belonging to the field of architectural design and structural design of space structure. The method comprises the following steps of: a first step of giving the geometry and topology relation of the cable-pole tensile structure and calculating the balanced matrix of the cable-pole tensile structure; a second step of calculating the self-stress mode number of the cable-pole tensile structure; a third step of determining a target function in the optimizing method; a fourth step of randomly generating c groups of self-stress mode combination coefficients and thereby obtaining c initial prestress distributions, using the gradient method to optimize and thereby obtaining c groups of final initial prestress distributions, then comparing stiffness matrix quadratic form minimum characteristic roots corresponding to the c groups of final distributions of initial prestress and taking the data with the largest stiffness matrix quadratic form minimum characteristic root as the final result, wherein the value of c is integers greater than 100; and a fifth step of judging whether the cable-pole tensile structure with the selected initial prestress distribution satisfies the stability condition.