441 results about "Integral method" patented technology

An integral method for realizing parallel generation and network reactive power compensation at the same time is based on the transient reactive power theory applying park transfer to transform a three phase inverter output current to a rotation dq coordinate to realize separation of active current and reactive current to convert the DC current of the photovoltaic to AC current by controlling the currents and directions carry out reactive power compensation to the local network. When a photovoltaic battery has enough energy to output, it realizes parallel generation and reactive compensation at the same time, when it stops the output, the inverter compensates the network independently.

The invention provides an estimation method of a vehicle battery stress optical coefficient (SOC), and belongs to the technical field of vehicle power batteries. The method solves the problems that the conventional estimation method of vehicle battery SOC is not accurate and the like. The estimation method is characterized by comprising the following steps: a, starting; b, judging the shelf time of the battery, if the shelf time is less than a set time T0, performing a step c, otherwise performing a step d; c, taking the SOC of the battery when the battery is not used last time as the SOC at the moment; d, acquiring an SOC by an open-circuit voltage method; e, judging whether the battery is in a dynamic state or not, if the battery is in a dynamic state, performing a step f, otherwise returning to the step b; f, estimating the SOC by an Ah integral method; g, correcting the SOC acquired by estimation; and h, finishing. The method provided by the invention has the advantages that during correction of the SOC, various factors influencing the SOC are taken into full consideration, so the accuracy of SOC can be improved.

A state of charge control system and method uses a region of voltage linearity and a long-term average voltage to estimate an average battery state of charge for storage batteries and to eliminate errors due to hysteresis, drift and sensor noncompliance. An average state of charge Sn is calculated using a current integral method and an average state of charge Sv based on an average observed voltage Vn for a time period exceeding a predefined minimum time but before a predefined maximum time has elapsed is also calculated. If the absolute value of the difference between the Sv and Sn are not are within an acceptable error band, then an offset value is calculated to correct the Sn by subtracting the Sv from the Sn, and thus, to maintain a more accurate Sn. Additionally, a closed current integral method is used to reduce errors due to hysteresis.

The invention discloses a method for estimating an SOC of a lithium battery. The method comprises the following steps of (S1) obtaining an SOH value of the battery, and determining the current maximum available capacity CN of the battery; (S2) calculating a current SOC value of the battery online by using an ampere-hour integral method; (S3) starting a corresponding offline model parameter according to a sampling temperature T and an estimated value of the current SOC of the battery, and calculating current open-circuit voltage OCV by combining the current sampling current I and terminal voltage U; (S4) obtaining a real value SOC (t)* of the current SOC of the battery according to the estimated value of the current SOC of the battery in the step (S2), the current open-circuit voltage OCV in the step (S3) and an OCV-SOC calibration curve; (S5) correcting the current estimated SOC value of the ampere-hour integral method by using the real value SOC (t)* of the current SOC of the battery, and further carrying out calculation by using the ampere-hour integral method; and (S6) repeating the steps (S3), (S4) and (S5). According to the method, piecewise correction is carried out on a traditional algorithm for estimating the SOC by the ampere-hour integral method, an accumulative error of the ampere-hour integral method is effectively eliminated, and the estimation accuracy of the SOC is improved.

The invention provides an operation and maintenance monitoring integral system used in the IT (information technology) field. The operation and maintenance monitoring integral system comprises a configuration module, a monitoring module and a storage module, wherein the configuration module is used for setting one or several monitoring objects and configuring each monitoring object for obtaining the monitoring index and the hierarchy relationship among the monitoring objects, the monitoring module is used for collecting corresponding monitoring data in real time from one or several monitoring objects, the storage module is used for receiving the monitoring data from the monitoring module and storing the monitoring data, the monitoring module is also used for reading monitoring data corresponding to inquiry requests from the storage module when receiving the inquiry request of a client end, in addition, the monitoring data is processed according to the types of the monitoring data and the monitoring index, and the processed monitoring data is generated and is sent to the client end. The invention also provides an operation and maintenance monitoring integral method used in the IT field. The system and the method provided by the invention have the advantages that the omnibearing monitoring on the IT resources can be realized, and the risk brought by operation and maintenance software in the deploying process is reduced.

The invention provides an estimation method of the initial state of charge (SOC0) of a lead-acid cell. The method includes the following steps: a. collecting current flowing through the cell and end voltage of the cell; b. judging whether the cell is in the standing state, entering step c on not judgment and entering step d on yes judgment; c. adopting the relation between the SOC0 and the end voltage and the discharge multiplying power under the discharge state to obtain the initial SOC and entering step g; d. judging whether the cell is in the stable state, entering step e on no judgment and entering step f on yes judgment; e. utilizing the SOC value recorded before standing as the initial SOC and entering the step g; f. adopting the OCV-SOC relation in the standing state to obtain the SOC and entering the step g; g. adopting an ampere-hour integral method to estimate the SOC of the cell in real time. The estimation method considers the discharge state and the standing state of the cell and effects of the discharge multiplying power, standing time and the like on the SOC0, and improves estimation accuracy of the SOC0 accordingly.

The invention relates to an intelligent integral performing system of stages, lamplights and stage art and a control method. The intelligent integral performing system of the stages, the lamplights and the stage art comprises an intelligent dimming system, an intelligent stage control system, an intelligent stage art control system and a centralized control system. The control method applies the centralized control system, intelligent stage control, intelligent dimming and intelligent stage art control are organically combined into one through a controller area network (CAN) bus method, and therefore centralized management and stage, lamplight and stage art scene control are achieved, control of appearing on the stage in real time is conducted according to plot requirements, a stage background is created through an integral method of sound, light and electricity, a performing theme is expressed, a performing effect is enhanced, and feeding back a working state in real time and conducting failure warning are achieved by applying a RDM protocol.

The invention discloses an estimating method for the initial value of the stage of charge of a high-accuracy lithium ion battery and belongs to the technical field of automobile power batteries. The estimating method comprises the following steps: firstly, according to a corresponding relation curve of the open-circuit voltage and an SOC (Stage of Charge) at different temperatures, estimating an open-circuit voltage stage of charge (SOCocv) through the lookup table; secondly, according to standing time of the battery, the current voltage platform of the battery and the battery pack temperature, obtaining a power-on initial stage of charge through the three-dimensional lookup table; finally, according to the self-discharging characteristic of the battery, correcting the initial stage of charge. Through the adoption of the method disclosed by the invention, an accumulated error caused by inaccuracy of the initial value estimated through an ampere-hour integral method and the estimation error of stage of charge caused by static current loss in the shutdown process are effectively reduced on the basis of factors of the characteristics of the open-circuit voltage at different temperatures, the standing time of the battery, the self-discharging characteristics of the battery and the like, and the higher accuracy is achieved. The method is suitable for SOC initial value estimation of a single battery, a module and a battery assembly.

The invention discloses a lithium battery SOC estimation method of off-line data segmentation correction. The method is mainly applied to a battery management system of an electric vehicle and is used for correcting an actual capacity of a lithium battery and eliminating an accumulation error of a traditional ampere-hour integral method. The method comprises the following steps of establishing a battery equivalence circuit model; acquiring an OCV-SOC curve; using a terminal voltage response curve at the time that battery discharging is ended to carry out off-line parameter identification on the equivalence circuit model; calculating a battery health state SOH; using an ampere-hour integral method to calculate a current value of the SOC in real time; using the battery health state to correct a SOC value; using off-line data to carry out segmentation elimination on the accumulation error in the ampere-hour integral method. By using the method of the invention, the battery SOC can be accurately estimated and the accumulation error of battery SOC estimation performed through using the ampere-hour integral method is eliminated.

The invention discloses a method and system for estimating SOC (State-of-Charge) of a power battery based on dynamic parameters. The method comprises the following steps: carrying out a discharge-standing experiment on the battery, obtaining OCV (Open Circuit Voltage)-SOC characteristic curves of the battery at different temperatures, and fitting out an OCV-SOC relational expression; carrying out a constant current pulse discharge-standing experiment on the battery, recording voltage response during the experiment, and identifying the initial value of the parameter of a battery second-order RC equivalent circuit model by an offline method; carrying out dynamic parameter identification on the second-order RC equivalent circuit model by using a forgetting factor-containing recursive least squares method RRFLS; carrying out online estimation on the SOC of the battery by using an EKF (Extended Kalman Filter) algorithm. The estimation method overcomes the defects of inaccuracy and cumulative error of the initial value of SOC in an ampere-hour integral method, and adapts to the dynamic change of battery characteristics, the battery model is high in precision and convergence speed, and is stable and reliable, and the precision of SOC online estimation is improved. The method and system can be widely used in fields of electric vehicles and energy storage battery management systems.

The invention provides a water quality model based regional environment risk assessment method. The water quality model based regional environment risk assessment method includes five steps of establishing a regional environment risk source information database, and utilizing a Monte Carlo algorithm to simulate discharge of risk source pollutants; selecting a water quality model, and constructing a water quality model which meets characteristics of an assessment region source intensity water quality response relationship; calculating vulnerability indexes of risk receptors by using a fuzzy integral method with the risk assessment goal of influence on water ecology, human health and social economy; utilizing the water quality model to predict the distribution of regional pollutant concentration under all possible source intensity situations, and analyzing dangerousness of risk sources; characterizing regional environment risks with a risk curve under the synthesis of dangerousness of the risk sources and vulnerability indexes of the receptors. According to the risk curve, regional environment risk assessment can be performed, high-risk regions, and key risk sources and vulnerary receptors are identified, so that a reference is provided for planning a targeted region risk prevention and control scheme.

The invention relates to a monitoring system for the electric quantity of a lithium battery. The monitoring system comprises a state monitoring unit, an electric quantity recording unit, an impedance tracking unit, an arithmetic element and the lithium battery, wherein the state monitoring state monitors the current output voltage, the output current and the ambient temperature of the lithium battery; the electric quantity recording unit records the input electric quantity during the charging of the lithium battery and the output electric quantity during the discharging of the lithium battery; the impedance tracking unit calculates the internal impedance of the lithium battery after the charging of the lithium battery is completed every time; the arithmetic element calculates the remaining electric quantity and the remaining working hour of the lithium battery according to input data; the system monitors the whole charging / discharging process of the lithium battery, takes a complete charging and discharging time as a period, dynamically updates battery capacity based on an integral method and eliminates the influence of the variation of the battery capacity; after the battery is fully charged every time, the impedance tracking unit of the lithium battery is started so as to update the internal resistor of the lithium battery; finally, the remaining electrical quantity and the remaining working time of the lithium battery are calculated by combining the environment temperature, the loading and the like.

The invention relates to a power source balancing method of an electric car. The power source balancing method comprises the following steps of: (1) establishing an actual SOC (State of Charge) value of each single battery; and (2) carrying out charging / discharging balance on the single battery according to a difference value between the actual SOC value of each single battery and an average SOC value of a battery pack, and a difference value between voltage of the each single battery and average voltage of the battery pack. The invention provides a storage battery active balancing scheme; an SOC parameter of the single battery is used as a balance object to improve an amper-hour integral method; the battery capacity can be revised in real time and the accurate SOC value is obtained; and the capacity difference between the single batteries in a storage battery pack can be reduced, the balance efficiency is high, the loss is small, and the service life of the battery pack is greatly prolonged.

The invention discloses a battery capacity correction method based on an improved ampere-hour integral method. The method comprises the following steps: enabling a battery pack to run in a vehicle-mounted way; calculating the state of charge (SOC) by the ampere-hour integral method; judging whether the electric quantity of batteries is too low or not; judging whether the minimum battery voltage V<min> is lower than the threshold voltage V<mdy> in a capacity correction mode or not; entering the capacity correction mode; carrying out capacity correction, and then quitting the capacity correction mode; charging the batteries, and calculating the SOC; judging whether the maximum voltage V<max> of the battery pack is higher than charge cut-off voltage V<h> or not; finishing charging, storing the battery capacity Q accumulated in the charging process, and replacing the previous battery capacity Q<n> by the battery capacity Q; modifying the current battery capacity value to be Q, and modifying the value of the SOC. According to the method, the SOC values of the batteries and the stored electric quantity values are corrected at the end of the battery charging process, so that the accurate initial value of the SOC can be obtained after every time of charging is finished; furthermore, at the end of discharge, the batteries can select to enter the battery capacity correction mode, so that the current capacities of the batteries can be corrected, and thus the calculation error caused by battery aging can be eliminated.

The invention discloses a battery charge state detecting method. The method comprises the steps that the initial SOC of a battery is determined; the self-discharge effect of the battery is considered; a table look-up method is used to accurately estimate the SOC of the battery; an ampere-hour integral method is used to acquire the SOC estimation value of the battery of a next moment; a battery Thevenin model is combined, and an extended Kalman filter algorithm is used to correct the SOC of the battery; and finally, low power, over-current, over-temperature and the like of the battery are judged to carry out early warning and protection. According to the method provided by the invention, the influence of self-discharge of the battery on the battery capacity and the influence of temperature, the number of times of cycle charge and discharge and charge and discharge current on the rated capacity of battery are comprehensively considered, wherein self-discharge of the battery is caused by first time of running and downtime of the battery; error correcting is carried out on the SOC of the battery; and the accuracy is improved.

The invention relates to a method and device for estimating a charge state of a lithium ion battery. The method comprises the following steps: A, fitting a relation between the open-circuit voltage and the charge state of the lithium ion battery; B, estimating the charge state of the lithium ion battery by utilizing an observer method; C, if the charge state of the lithium ion battery estimated in the step B is larger than a predetermined threshold value, estimating the charge state of the lithium ion battery by using the observer method, and if the charge state of the lithium ion battery estimated in the step B is smaller than the predetermined threshold value, estimating the charge state of the lithium ion battery by using an ampere-hour integral method. Through the method and the device for estimating the charge state of the lithium ion battery, provided by the method, the defects of the ampere-hour integral method and the observer method can be overcome, and the high estimation accuracy is provided in a full life cycle and a full charge state region.

The invention relates to the technical field of power batteries of electric automobiles, and discloses a composite estimating method of a power battery SOC based on a PNGV equivalent circuit model. The composite estimating method comprises the following steps that A, the open-circuit voltage of the power battery is detected; B, an open-circuit voltage method is used for calculating the primary SOC (t0) of the power battery; C, in the time period of t0-t1, an EKF algorithm is used for correcting the primary SOC (t0), and an SOC (t1) is obtained; D, in the time period of t1-t2, an improved ampere-hour integral method is used for estimating; E, when the power battery is continuously used, the steps from the step C to the step D are circulated; the t0 represents the primary time, and the t1 and t2 represent the time points after the t0. According to the composite estimating method of the power battery SOC based on the PNGV equivalent circuit model, the correction coefficients of influencing factors such as the charging and discharging currents of the power battery, the environment temperatures, the battery health state are considered, the improved ampere-hour internal method is used, and the defect that the influence from outside factors is large when the ampere-hour internal method is used for estimating the power battery SOC can be overcome. The advantage that an EKF method has a powerful correcting effect on initial errors of the SOC is fully used.

A mining area surface subsidence synthetic aperture radar interferometry monitoring and calculating method belongs to mining area surface subsidence monitoring and calculating method. The method comprises the following steps: having format conversion, calibration, pre-filtering and interference to interferometric synthetic aperture radar (InSAR) data to obtain an InSAR interference phase, eliminating flat ground effect, an terrain phase and orbit errors of the interference phase by means of precise orbit data and an external dynamic effect model (DEM), obtaining phase values which only contain deformation information of a ground surface after filtering to residual phases, on the condition of large deformation gradient, through phase unwrapping, obtaining deflection of the edge of a mining subsidence basin, fusing the deflection with a few ground measured data, reversely deducing probability integral method parameters of the subsidence basin through a genetic algorithm, calculating sinking values of an arbitrary point of the whole surface subsidence basin through required probability integral method parameters and geological mining data, and therefore mining subsidence deformation field is produced. The mining area surface subsidence synthetic aperture radar interferometry monitoring and calculating method has the advantages of being high in monitoring accuracy, large in monitoring range, convenient to operate, low in cost and large in technical content.

The invention discloses methods for predicting the SOC of a vehicle-mounted power battery of an electric automobile. The methods for predicting the SOC of the vehicle-mounted power battery of the electric automobile comprises the method for predicting the SOC in the charging mode, and the method for predicting the SOC in the discharging mode. The methods for predicting the SOC of the vehicle-mounted power battery of the electric automobile are based on an existing open-circuit voltage method and an existing ampere-hour integral method, an optimal battery model is obtained through curve fitting of the temperature, the voltage, the charging current and the discharging current of the battery, branch processing is conducted on the charging state and discharging state when an SOC value is estimated in real time, a corresponding SOC value is searched for in a model library by means of the immobilized battery model according to the temperature characteristic, the voltage characteristic and the current characteristic, of the battery, the SOC value is modified according to model errors, and the estimation accuracy is greatly improved.

The invention discloses a 3D (three-dimensional) sight direction estimation method for robot interaction object detection. The method comprises steps as follows: S1, head posture estimation; S2, mapping matrix calculation; S3, human eye detection; S4, pupil center detection; S5, sight direction calculation; S6, interaction object judgment. According to the 3D (three-dimensional) sight direction estimation method for robot interaction objection detection, an RGBD (red, green, blue and depth) sensor is used for head posture estimation and applied to a robot, and a system only adopts the RGBD sensor, does not require other sensors and has the characteristics of simple hardware and easiness in use. A training strong classifier is used for human eye detection and is simple to use and good in detection and tracking effect; a projecting integral method, a Hough transformation method and perspective correction are adopted when the pupil center is detected, and the obtained pupil center can be more accurate.

The invention discloses a battery SOC online estimation method based on double Kalman filtering algorithm, comprising: S1) obtaining the initial value of the battery SOC; S2) creating a battery equivalent circuit model; obtaining the state equation and the output equation of the battery; S3) using the initial value of the battery SOC as the input state amount and the voltage equation corresponding to the battery equivalent circuit model as the output equation; and utilizing the expanded Kalman filtering algorithm to perform battery SOC estimation; S4) using the battery SOC estimated by the expanded Kalman filtering algorithm as the input state amount and the amper-hour integral method as the output equation; and performing battery SOC estimation through the use of the Kalman filtering algorithm for the estimation value of the battery SOC. The battery SOC online estimation method based on double Kalman filtering algorithm can obtain the SOC estimation value more accurately. Without its excessive reliance on a battery model, the requirement of the method on the current accuracy is also reduced. The Battery SOC online estimation method based on double Kalman filtering algorithm of the invention can find wide applications in the battery identification and estimation field.

The invention discloses an optimization method of simultaneous harvest and reclamation opportunity of single coal layer based on mining subsidence simulation and second ploughing rate, relates to dynamic mining subsidence prediction and GIS (Geographic Information System) analysis processing, and belongs to the field of mining technology, land utilization and land rehabilitation, and the method is used for solving the problem of unstable mining subsidence land reclamation and realizing the simultaneous harvest and reclamation of underground coal mine regions. The method comprises the steps of: considering the subsidence visual simulation of landform before mining, the ground subsidence scene simulation of time domain and the optimization of the simultaneous harvest and reclamation opportunity based on the second ploughing rate on the basis of onsite file collection and analysis and based on a probability integral method and a mining subsidence predict of Knothe time function. The method disclosed by the invention performs dynamic scene simulation and reclamation opportunity optimization on the subsidence to determine the optimal reclamation opportunity under special mining conditions and natural conditions, thereby rescuing the precious surface soil resources of plain mining areas to the uttermost and planning, protecting and treating the lands to be suffered from subsidence damage in advance, so as to improve the reclamation rate, reduce the reclamation cost, promote the sustainable utilization and sustainable development of mining area land resources, and guarantee the coordination and synchronous development of coal resource mining and cultivated land protection.

The invention relates to a calibration and estimation method for a state of charge (SOC) of a lithium battery based on a charge mode. An error source of an Ampere-hour integral method is analyzed, an SOC initial value is calibrated by using an open-circuit voltage (OCV) of the lithium battery in a static state, the total capacity is calibrated by using the SOC values estimated through the OCV in the static state before and after charging, a mapping relationship between terminal voltages and the SOC values is established, and high-precision estimation of the SOC value of the lithium battery system within a discharge cycle is realized by using battery characteristics of different charge phases of constant current and constant voltage.

The invention provides a diffracted wave field separation method based on a Kirchhoff integral method. In seismic exploration, subsurface information can be inferred through responses of seismic waves to subsurface media; when a subsurface medium catastrophe happens, diffracted waves usually are response to the subsurface medium catastrophe. Main oil gas storage spaces in carbonate rock regions (such as Tarim and Sichuan) are secondary corroded holes and cracks, the sizes of the holes and the cracks are smaller than the wavelength of the seismic waves; the seismic response of the holes and the cracks is mainly diffraction, therefore the research on the diffracted waves has significant theoretical and practical meanings. However, in common deviation, the diffracted waves are converged to be one point on a profile and are submerged in a plurality of events and cannot be recognized. In a common reflection point (CRP) trace gather, since diffraction points and reflection points are the flattening of the events, the diffraction points cannot be recognized in the trace gather. Therefore, the invention provides a method for outputting an inclined angle trace gather through Kirchhoff deviation and hole diffracted waves and interface reflection waves can be rapidly and efficiently separated through obvious difference between the reflection waves and the diffracted waves in the inclined angle trace gather.

The invention discloses an inhalable dust concentration measuring sensor, comprising: a semiconductor laser light source. An aspherical mirror, an incidence diaphragm, an extinction diaphragm, a photosensitive area, a spherical reflecting mirror, an emergent diaphragm and a light trap are arranged in turn in the forward direction of the beam. The extinction diaphragm is of a long tube shape, and the opening of the diaphragm is close to the photosensitive area; the spherical reflecting mirror located at the right side of the extinction diaphragm ensures that the photosensitive area and the photosensitive surface of a photoelectric detector are respectively located at the two sides near the spherical center of the spherical reflecting mirror and the physical image relation in geometrical optics is met; the photoelectric detector is a high-sensitivity photoelectric diode; and the sampling nozzles in the gas path are distributed with respect to the photosensitive area. In the invention, the measurement is more accurate as the quality concentration of the inhalable dust is calculated by the energy sum of scattered lights in the particle swarm, and the measuring sensor has wide application as being free from the limit of the total particle number in a unit volume; the signal-to-noise ratio of the sensor is greatly improved as the light path is provided with three diaphragms; and the noise is low, and the measurement is more accurate and stable as the concentration measuring circuit adopts an integral method.

The invention provides a mining lot exploiting and monitoring method based on interferometric synthetic aperature radar (InSAR) technology. The method includes the steps of obtaining a probability integral method model coefficient of a mining area adjacent to a mining area to be detected, using a radar sight line directional deformation field, obtained through the InSAR technology, of a mining lot to be detected, using the length, the width, the thickness, an exploiting depth, a trend azimuthal angle and a central point coordinate of a working face of the mining area to be detected as unknown numbers, and enabling the unknown numbers and a probability integral method model coefficient of the mining area adjacent to the mining area to be detected to be brought in the probability integral method model, then using a genetic algorithm to search and obtain a parameter value of the working face of the mining area to be detected, finally, using the working face parameter value obtained through the genetic algorithm as an initial value of a mode searching method, and obtaining the accurate working face parameter value of the mining area to be detected through iterative search. The mining lot exploiting and monitoring method overcomes the defects in the prior art that only an approximate exploiting location can be obtained in the process of exploiting monitoring to the mining area, and underground goaf detailed parameter information can not be obtained accurately, greatly expands the application space of the InSAR technology in the mining area, and provides a mining area exploiting fine monitoring method which is low in cost and large-scale.

The invention discloses a coal mine underground mining, dress and filling integral method, which comprises the following steps that: a raw coal belt conveyor, a raw coal cabin, a raw coal feeding belt conveyor, a washing system, a cleaned coal belt conveyor, an underground coal storage cabin, a washed coal gangue belt conveyor, a digging coal gangue belt conveyor, a crushing machine, a coal gangue feeding belt conveyor, a coal gangue cabin and a filling coal belt conveyor are adopted; underground mined raw coal is subjected to dressing by washing by the washing system; cleaned coal subjected to dressing by washing is conveyed into the underground coal storage cabin and is hoisted onto the ground; and washed coal gangue obtained after the dressing by washing is crushed by the crushing machine and is then conveyed to a solid filling coal mining work surface for mine goaf filling. The mining, dress and filling integral method has the advantages that the safe and efficient exploitation under a railway, a water body and a building is realized; the mine auxiliary hosting pressure is reduced; the coal quality is improved; and the problems of ground occupation, pollution and the like caused by coal gangue discharge onto the ground are solved.

The invention provides an earthwork quantity measuring method based on a UAV photographic technology. The earthwork quantity measuring method comprises the steps of: S1, acquiring point cloud data; S2, preprocessing the acquired point cloud data; S3, and carrying out earthwork calculation by adopting an integral method. The earthwork quantity measuring method based on the UAV photographic technology has the advantages of being high in measurement precision and good in working efficiency, and being capable of saving a lot of labor cost. Specifically, the earthwork quantity measuring method acquires dense point cloud altitude data of surface on site and adopts the integral method for calculating earthwork, generates dense point cloud data covering a measured region by using a few image control points through photographic measurement and calculation, and can obtain accurate measurement result by utilizing integral according to a set earthwork measured boundary and a designed elevation.