55 results about "Entire life cycle" patented technology

The present application belongs to the field of carbon emission statistics, and particularly relates to a carbon emission statistical tracking system based on the whole life cycle of products, which can effectively track the total carbon emission of each product in the whole life cycle after being sold out through the cooperation of a detection module, a remote recording module and a terminal receiving module; meanwhile, the time t less than the threshold t1 is not included in the total amount, so that the situation of carbon emission caused by the operator's accidental touch to start or the start for a few minutes and the discovery of problems requiring timely stop can be reduced, the accurate calculation of the carbon emission amount is improved; through the setting of the influence coefficient u, the problem of the increase of the carbon emission amount caused by the insufficient treatment of raw materials in the same use time due to the increase of the service life of the product, the aging of parts and the accumulation of residues in the product can be corrected.

The invention belongs to the technical field of road marking performance detection, and particularly discloses a road marking full-life-cycle performance detection system, which comprises the following steps of: acquiring an initial retroreflection brightness coefficient and a geographic position of a whole road in a marking construction acceptance stage to generate a road marking optical performance reference digital map; the real-time initial retroreflection brightness coefficient and the position of the marking line are collected in the daily service of a road, and the optical performance of the marking line in the service state is compared and evaluated point by point by taking the reference map as a reference, so that the real performance state of the marking line in the whole life cycle is dynamically described, and the marking line quality is improved. Meanwhile, optical sudden change event identification is carried out in service state comparison based on the reference digital atlas, and external event data are accessed for association, so that a maintenance decision is converted into an active intelligent intervention normal form with traceable causes and orientable measures from a passive response and representation repair mode; and the accuracy and timeliness of road marking maintenance are obviously improved.

This invention relates to a method for assessing the carbon emissions of new energy vehicles throughout their entire life cycle, taking into account inter-provincial power transmission. It belongs to the field of carbon emission accounting technology and includes the following steps: S1: Calculating the carbon emissions of new energy vehicles during the production stage; S2: Calculating the carbon emissions of new energy vehicles during the usage stage; S3: Calculating the carbon emissions of new energy vehicles during the scrapping and recycling stage; S4: Calculating the total carbon emissions of new energy vehicles throughout their entire life cycle. This invention accurately reflects the carbon emission transfer effect brought about by inter-regional power transmission; achieves precise accounting of the carbon footprint of new energy vehicles during the usage stage; and realizes the assessment of carbon emissions in the three stages of production, use, and recycling of new energy vehicles, providing support for formulating locally appropriate strategies for the promotion of new energy vehicles and cross-regional collaborative emission reduction.

The invention provides a method and a device for determining full life cycle carbon emission of a skid-mounted transformer substation, and the method comprises the steps: obtaining the carbon emission of the skid-mounted transformer substation according to the obtained full life cycle information of the skid-mounted transformer substation; and determining the carbon emission in the raw material acquisition stage, the carbon emission in the manufacturing stage, the carbon emission in the construction stage, the carbon emission in the operation stage, the carbon emission in the digital operation stage and the carbon emission in the dismantling stage of the skid-mounted transformer substation, and comprehensively obtaining the full-life-cycle carbon emission of the skid-mounted transformer substation. The method comprises the following steps: establishing a boundary of a skid-mounted mobile substation carbon emission evaluation system, constructing a full-life-cycle carbon emission analysis model and a calculation process by combining production and manufacturing and construction operation characteristics of the skid-mounted mobile substation carbon emission evaluation system, and collecting, calculating and analyzing data of carbon emission at each stage of the full life cycle of a product by taking an actual project as a research object; and a scientific basis is provided for accurately mastering the carbon emission condition of the whole life cycle of the skid-mounted mobile substation.

This invention discloses a hail identification and tracking method and system for the entire life cycle of hail embryos, relating to the field of meteorological detection. The method includes: S1 acquiring dual-polarization radar volume scan data; S2 identifying hail embryo particles; S3 determining whether the hail embryo particles are new particles, and if so, creating a life profile; S4 tracking target particles in spatiotemporal correlation and updating the life profile; S5 determining whether the target particles have transformed into hail; S6 acquiring the current life profile of the hail particles; S7 determining whether hail precipitation conditions have been triggered, and if so, proceeding to S8, otherwise returning to S1; S8 analyzing the location of the precipitation area; S9 spatially clustering the precipitation area location and generating a probability map of the hail precipitation area and early warning information. By establishing a "life profile" for each hail embryo particle that includes its trajectory, phase evolution, and environmental thermodynamic conditions, the complete process of hail embryo formation from initial formation to final hail precipitation is tracked. Based on the statistical analysis of the life profile, key transformation characteristics of different hail storm types are adaptively identified, thereby achieving early hail warning.

The present application belongs to the technical field of road marking performance detection, and specifically discloses a road marking full life cycle performance detection system, which collects the initial retroreflective luminance coefficient and geographical position of the whole road in the marking construction acceptance stage, generates a road marking optical performance benchmark digital atlas, and collects the real-time initial retroreflective luminance coefficient and position of the marking in the daily service of the road, thereby taking the benchmark atlas as a reference to compare and evaluate the optical performance of the marking in the service state point by point, realizing the dynamic characterization of the real performance state of the marking in the whole life cycle, and at the same time, identifying the optical mutation event in the service state comparison based on the benchmark digital atlas, and connecting external event data for correlation, so that the maintenance decision is changed from the passive response and appearance repair mode to the active intelligent intervention paradigm with traceable causes and directional measures, and the precision and timeliness of road marking maintenance are significantly improved.

This invention discloses a method for statistical accounting of carbon emissions throughout the entire life cycle of highways, belonging to the field of carbon emission accounting technology. The method includes: dividing the entire life cycle of a highway into multiple stages and dynamically defining the accounting boundaries of each stage based on spatiotemporal dimensions; setting carbon emission accounting indicators for all types and collecting multimodal data corresponding to each stage; building a hierarchical computing architecture based on edge-cloud collaborative technology to calculate the carbon emissions of each stage, and using a virtual highway model that can learn and update online to verify the carbon emission accounting results; and drawing a carbon footprint heatmap based on the carbon emission accounting results to display the spatiotemporal evolution process. This invention covers the construction, operation, and demolition stages of the entire highway life cycle, ensuring the comprehensiveness and systematic nature of the accounting results; employing multiple data sources and collection methods, combined with corresponding accounting methods, ensures the accuracy and reliability of the accounting results, providing a scientific basis for the low-carbon construction and operation of highways.

This invention discloses a method for predicting the remaining life of brake friction pads, belonging to the field of brake life prediction. The method includes the following steps: S1, obtaining an initial effective feature set based on Pearson correlation coefficient and strong wear correlation features; S2, constructing a multi-physics coupled nonlinear wear degradation model for the friction pads and outputting multi-physics degradation parameters; S3, obtaining the optimal low-dimensional feature set through dual-source fusion; S4, optimizing the hyperparameters of the hybrid basis learner group using a dynamically perturbed improved gray wolf algorithm; S5, constructing a weighted fusion remaining life prediction model and completing accuracy evaluation and error correction; S6, online adaptive updating to achieve real-time remaining life prediction and life threshold warning. Using the above-mentioned method for predicting the remaining life of brake friction pads, high-precision prediction of the entire life cycle of brake friction pads through online dynamic adaptive updating is achieved, significantly improving prediction reliability and engineering application value.

The invention provides a safety measure tool full-life-cycle adaptive energy management method, device and equipment, and relates to the technical field of equipment energy management. The method comprises the following steps: acquiring historical working mode data of a target safety measure tool and lasting time of a current working mode; based on the historical working mode data, the duration of the current working mode and a preset weight, determining a state transition urgency index of the target safety measure tool; wherein the state transition urgency index represents the degree of future state change possibility of the target safety measure tool; and determining a next wake-up detection time interval of the target safety measure tool in a wake-up time interval range allowed by the system based on the state transition urgency index. According to the invention, dynamic decision-making of the wake-up time interval of the safety measure tool can be realized, and intelligent switching of the safety measure tool among different power consumption modes is facilitated while energy is saved.

The invention discloses a method for measuring and calculating carbon emission in a full life cycle of a hydrogen fuel cell heavy truck, which relates to the technical field of carbon emission accounting and comprises the following steps of: analyzing main stages and related unit processes of the full life cycle of the hydrogen fuel cell heavy truck; establishing a full-life-cycle carbon emission accounting system model of the hydrogen fuel cell heavy truck; the method comprises the following steps: collecting, classifying, characterizing and quantifying multi-source data related to each unit process in the life cycle of a hydrogen fuel cell heavy truck, including data of energy characteristics, power structures, vehicle manufacturing and the like, and quantifying and evaluating inspection indexes; and calculating the carbon emission of each stage of the whole life cycle of the whole vehicle, and adding the carbon emission to obtain the total emission amount. The method covers the production, driving and scrap recovery stages of the hydrogen fuel cell heavy truck in the whole life cycle and the hydrogen production process, and ensures the systematicness and comprehensiveness of the accounting result.

The invention belongs to the technical field of big data analysis and processing, and particularly relates to a geothermal development full-life-cycle carbon emission reduction and ecological cooperative gain accounting method. The method comprises the following steps of: 1, constructing a graph containing life cycle stage unit process nodes, space grid or plot nodes and ecological index nodes, and setting a process influence edge, a space adjacent edge and a space observation edge in the graph; 2, constructing a graph neural network model adopting a combination of a graph attention network layer and a graph convolutional network layer on the graph; and step 3, writing operation information of the target geothermal development scheme into attribute fields of process nodes of the life cycle stage unit and space grids or plot nodes to obtain a geothermal development full life cycle carbon emission reduction and ecological cooperative gain accounting result. According to the method, the phased influence of engineering activities, the spatial propagation characteristics and the dynamic response of an ecological system can be considered at the same time, so that the carbon emission reduction effect and the ecological cooperative benefit are presented in a spatialization mode on the full life cycle scale.

This invention belongs to the field of oilfield oil and gas gathering and transportation technology, and discloses a method for determining the gathering and transportation temperature throughout the entire life cycle of a gathering and transportation pipeline. The method includes: preheating oil and water samples and the equipment; adding different proportions of oil and water samples to a mixer according to different water contents; shearing the crude oil; cooling while stirring; maintaining a constant temperature; weighing the mass of oil residue adhering to the inner wall of the mixing tank; obtaining the critical wall adhesion temperature corresponding to the sudden change in wall adhesion mass; if the crude oil water content is before the inversion point, this wall adhesion temperature is used as the gathering and transportation temperature for on-site testing; if the pressure along the pipeline exceeds the pipeline's pressure-bearing capacity during the gathering and transportation process, the gathering and transportation temperature needs to be increased until the pressure along the pipeline is below the pipeline's pressure-bearing capacity, and this temperature is the gathering and transportation temperature; if the crude oil water content is after the inversion point, the gathering and transportation temperature is set above the wall adhesion temperature. This invention can more conveniently and accurately determine the gathering and transportation temperature at different stages of oilfield development, ensuring the safe and economical operation of oilfield gathering and transportation pipelines.

This invention provides a method and system for calculating the carbon footprint of lithium batteries based on their entire lifecycle. The method includes: dividing the entire lifecycle of a lithium battery into multiple calculation stages; obtaining the activity types required for each calculation stage and retrieving corresponding collection information from a first preset association table based on the activity types to collect activity data; assigning weights to multiple initial carbon emission factors under the same activity type to calculate the carbon emission factor for each calculation stage based on the weights and the initial carbon emission factors; calculating a carbon contribution coordination factor based on the annual carbon emissions and calculating a fusion weight for each calculation stage based on the carbon contribution coordination factor; and calculating the total carbon footprint based on the activity data, fusion weights, and carbon emission factors within the same calculation stage. This invention can improve the accuracy and reliability of carbon footprint calculation throughout the lithium battery's lifecycle.

This application belongs to the field of land resource management technology, and discloses an intelligent investment promotion matching system and method based on the entire life cycle of land. The method includes: obtaining actual resource occupancy data of public resources provided by shared infrastructure to resident land parcels within a target area; calculating the resource scarcity value of each public resource based on the actual resource occupancy data and the effective design capacity of the shared infrastructure; correcting the initial resource planning parameters of undeveloped land parcels within the target area using the resource scarcity value to obtain actual resource availability parameters of each public resource; obtaining resource demand information of enterprises to be matched, and evaluating the matching degree between the enterprises to be matched and the undeveloped land parcels in combination with the actual resource availability parameters, so as to output investment promotion matching results; thereby improving the accuracy and effectiveness of investment promotion matching, and providing a more scientific and real-time decision-making basis for park investment promotion and land development.

This invention discloses an intelligent navigation method and system for the entire lifecycle of cross-border medical treatment for foreign nationals based on hierarchical state machines and event sourcing, belonging to the field of smart healthcare technology. The system includes a hierarchical state machine orchestration module, an event sourcing engine, a multi-source event perception module, a state-driven scheduling unit, and a cross-terminal consistency module. By constructing a two-layer state machine, it achieves refined modeling of the entire medical treatment process, stores event time-series evidence to support state tracing and rollback, and automatically schedules multilingual interaction, visa management, cross-border data compliance, intra-hospital collaboration, international payment, and follow-up services based on state transitions. This invention can achieve fully automated navigation from pre-entry to post-discharge, featuring scalable processes, recoverable anomalies, and strong cross-terminal consistency. It effectively solves problems such as fragmented processes, language barriers, complex visas, and inconsistent services for foreign nationals seeking medical treatment in China. The technology is mature, highly implementable, and extremely practical, and can be widely applied to foreign-related hospitals, medical tourism platforms, and port medical service systems.

This invention relates to the field of intelligent robot technology, specifically disclosing an intelligent maintenance robot for the entire life cycle of steel wire ropes. The robot includes a cleaning device, a detection device, and a grease application device arranged sequentially and coaxially connected along the axial direction of the steel wire rope. The cleaning device, detection device, and grease application device are rigidly connected by at least one bridging rod, forming an integral structure that can move along the axial direction of the steel wire rope. The grease application device includes a front fixing ring, a rear fixing ring, a fixing airbag, multiple connecting block assemblies, leaf springs, and connecting airbags. This invention arranges the cleaning device, detection device, and grease application device sequentially along the axial direction of the steel wire rope and rigidly connects them via bridging rods, forming an integral structure that can move along the axial direction of the steel wire rope. This allows the steel wire rope to complete cleaning, detection, and maintenance sequentially in the same operation, facilitating continuous, full-process maintenance of the steel wire rope.

This invention relates to the field of data processing technology for predictive purposes, and discloses a method for adjusting the power generation performance of an energy system throughout its entire life cycle. The method determines the parameter boundaries of a wind-solar-storage power supply system, divides the entire life cycle planning period into multiple consecutive life stages, and determines the load demand input for the entire life cycle. It sets a baseline power generation performance at the initial commissioning stage, calculates the degradation maintenance level for each stage, establishes a monotonic mapping relationship between the degradation maintenance level and maintenance intensity, constructs a stage-dependent model for calculating available power generation capacity coupled with degradation and maintenance, and obtains available power supply capacity parameters for each stage of the entire life cycle. It generates a maintenance time series distribution through Monte Carlo simulation and constructs a set of life cycle power generation performance evolution scenarios. With the goal of minimizing the total cost throughout the entire life cycle, a mixed-integer linear programming model is constructed to obtain the optimal capacity configuration and adjust the power generation performance throughout the entire life cycle. This method solves the problems of ignoring degradation maintenance and inaccurate planning, achieving the goal of accurate and reliable life cycle data at a low cost.

The invention provides a method and device for monitoring the full life cycle of a carbon dioxide geological sequestration project, and the method comprises the steps: dividing the full life cycle of the carbon dioxide geological sequestration project into at least one monitoring stage which comprises at least one of the following stages: an operation preparation stage, an operation stage, a site closing stage and a site closing stage; for each monitoring stage, acquiring corresponding monitoring data; and engineering management and control of the carbon dioxide geological sequestration engineering are carried out based on the monitoring data of each monitoring stage. According to the technical scheme, full-stage technical support can be provided for safe and efficient storage, environmental risk management and control, site recovery and permanent closing.

The invention discloses a hydropower station hydraulic structure full life cycle monitoring method, which comprises the following steps: deploying a high-precision tilt angle sensor network at a key part of a hydraulic structure, and collecting multi-point angle change data and synchronous environmental factor data in real time; preprocessing the original data set to obtain a standardized angle change sequence; calculating the influence weight of each environmental factor on the angle change by adopting a correlation analysis method, and identifying a dominant interference source; deducting a deformation component caused by a dominant environment factor by adopting a linear regression model to obtain an interference-free angle change sequence; analyzing the long-term change trend and burst deviation by using a long-short-term memory network model based on the interference removal sequence; and constructing a structure stability index, comparing the index with a preset threshold value, and outputting hierarchical structure health state evaluation information. According to the invention, effective separation of environmental interference and intelligent identification of structural abnormal behaviors are realized, and the accuracy and automation level of hydraulic structure health monitoring are improved.

The invention relates to the technical field of aviation industry, and provides an operation data driven turbine full-life intelligent design method, computer equipment and a computer storage medium, and the method comprises the steps: S1, obtaining basic parameters of new turbine design and basic parameters of mature turbine design; s2, standardizing the basic parameters by using a parameter extractor to obtain a standardized parameter database; s3, constructing and training a Transform intelligent prediction model by using the standardized data of the mature turbine, inputting the standardized parameters of the new turbine design into the Transform intelligent prediction model, and comprehensively evaluating the design scheme to generate a prediction result; and S4, according to a prediction result of the Transform intelligent prediction model, carrying out intelligent decision making, generating an optimization design scheme, and obtaining a design result. According to the method, multi-head learning is carried out on real operation data through the constructed Transform model, the efficiency attenuation curve and the expected life of the turbine in the whole life cycle are predicted, and the predicted efficiency attenuation confidence coefficient reaches 95% or above.

This invention discloses a method and system for tracing the entire lifecycle status of a metal sound barrier, belonging to the field of status tracing technology. The method specifically includes: acquiring raw data of the entire lifecycle of the metal sound barrier; constructing a time-series feature vector based on the raw data; parsing the time-series feature vector to generate a preliminary tracing result; performing anomaly correlation judgment on the preliminary tracing result; generating an enhanced tracing tag when anomalies exist; and constructing a full lifecycle tracing chain based on the enhanced tracing tag and the preliminary tracing result to perform full lifecycle status tracing of the metal sound barrier. This application enables the sound barrier to have a traceable status chain from manufacturing to final service state, which is beneficial for maintenance decisions, controllable service status, and damage evolution assessment.

This invention relates to the field of data processing technology, providing a method, apparatus, device, and medium for controlling the entire lifecycle status of equity products. It can store the card key information corresponding to each equity product in a target database through a full-link security mechanism, thereby achieving unified and secure management of various equity products through efficient encryption algorithms. Different transfer operations are performed on the target product according to different transfer requests, achieving integration of various transfer operations and thus controlling the status of the equity product throughout its entire lifecycle. During the transfer operation, when the inventory of the target product is detected to be less than the inventory threshold, a routing decision is made in the target database based on the target product information to obtain a substitute product, and the transfer operation continues based on the substitute product, solving the problem of imperfect product routing mechanisms in traditional systems. The target database is updated synchronously to assist in accurately monitoring inventory status. It can be applied to fintech, healthcare, and elderly care business scenarios.

This invention provides a technology related to green evaluation of building materials products, specifically a system and method for assessing the carbon footprint of building materials products throughout their entire life cycle. The method for assessing the carbon footprint of building materials products throughout their entire life cycle includes carbon emissions from raw material acquisition, production and processing, transportation and distribution, use and consumption to final disposal. It transforms vague environmental impacts into measurable and comparable data indicators, and also considers carbon emissions indirectly avoided during the use of building materials products, making the carbon footprint assessment of building materials products more scientific and objective, and helping to clearly identify high-emission parts in the supply chain.

Existing electric transportation equipment and its auxiliary facilities mostly rely on heating or insulation devices to cope with low-temperature environments, which is not only energy-intensive but also costly. Based on experimental findings, this invention discloses a cooling and life-extending device suitable for electric transportation equipment and its auxiliary facilities, including but not limited to functional units: battery module 405, cooling system 101, and air duct 102. This device actively maintains the battery module in a low-temperature range to extend battery life and improve economic efficiency throughout its life cycle. It incorporates a comprehensive strategy including multi-stage cooling, intelligent temperature control, and capacity redundancy, enabling the battery to operate stably at low-temperatures. This cooling and life-extending device transforms the scientific discovery of “low-temperature life-extending” into an engineeringable solution, significantly improving battery life and system efficiency while reducing energy consumption and operating costs for heat dissipation, demonstrating significant innovation and industrialization value.

This invention discloses an intelligent analysis and control system and method for the entire lifecycle of gas wells based on artificial intelligence, relating to the field of oil and gas field development technology. It constructs a differentiable physical enhancement model, in which the gas well physical equations are embedded as differentiable hierarchical neural networks. Using historical data for training, a digital twin model is constructed that conforms to physical laws and possesses data fitting capabilities, and the digital twin model is end-to-end differentiable. Based on the differentiable physical enhancement model, a safety rating function is designed, mapping each state-action pair to a continuous safety score. This invention, by constructing a differentiable physical enhancement model, integrates gas well physical laws with data-driven capabilities, ensuring that state prediction and strategy output conform to physical mechanisms, avoiding unauthorized operations, and improving control reliability. Through the safety rating function and safety rating strategy gradient algorithm, safety constraints are implemented in the strategy optimization process, mitigating the impact of unsafe actions and ensuring gas well production safety.

This invention discloses an efficient method for constructing health indicators for rolling bearings, comprising: sampling monitoring data of the entire life cycle of rolling bearings; extracting primary features of the entire life cycle of rolling bearings and using them as input to generate an initial chromosome population; optimizing the output of higher-level features of the chromosomes based on evaluation function one; obtaining a higher-level feature population by outputting higher-level features of the chromosomes; evaluating the higher-level feature population constructed by the current chromosome population based on evaluation function two; if a termination condition is met, proceeding to the next step; otherwise, performing genetic operations on the current population according to evaluation function two, repeating the above steps until the termination condition is met; after meeting the termination condition, outputting the chromosome with the highest fitness in the final generation population, and using its corresponding higher-level feature as a health indicator reflecting the degradation trend of rolling bearings. This invention can solve the problem that traditional genetic programming algorithms cannot efficiently search for health indicators that effectively characterize the degradation trend of rolling bearings.

The invention discloses an urban rail steel rail full life cycle intelligent management and control method based on digital twinning, and relates to the technical field of rail traffic facility intelligent operation and maintenance, and the method comprises the steps: initializing a digital twinning steel rail model aligned with a physical steel rail, and marking a life sensitive area; and extracting a historical dynamic load spectrum sequence according to the unique code of the target steel rail section, simulating a load transmission path in the model, and marking a load core action area and an edge influence area in the sensitive area. Carrying out boundary correction on the regions by fusing a field detection map, and generating a preliminary life analysis focus region set; and defining the area outside the set as an environment coupling action area, and combining the environment coupling action area with the adjacent part of the focus area to form a final steel rail service life treatment area. According to the method, precise positioning and foresight management and control of the potential damage area of the steel rail are achieved through refined simulation and multi-source data fusion of the load effect.

This invention discloses a method and system for dynamic carbon accounting of coal-based solid waste road base courses throughout their entire life cycle. It relates to the field of carbon accounting and includes: classifying solid waste according to its compositional characteristics and establishing an identification system; collecting dynamic parameters at each stage through monitoring equipment to form a basic database; constructing a phased quantitative model based on the data; correcting the accounting results by combining a scenario-carbon emission correction matrix; using an LSTM neural network to predict carbon emission curves for the 5-10 year operation period; establishing a carbon balance equation for recycled aggregates in the waste stage; and finally analyzing parameter uncertainties through Monte Carlo simulation, dynamically updating the database, and outputting the carbon emission placement confidence interval. The advantages of this invention are: by refining the entire life cycle stages and combining a phased quantitative model, scenario correction, LSTM prediction, recycled carbon balance calculation, and Monte Carlo uncertainty analysis, it accurately, dynamically, and comprehensively completes the carbon accounting of coal-based solid waste road base courses, providing a basis for long-term planning.

The invention discloses a beef cattle livestock breeding full life cycle growth monitoring method and system, and relates to the technical field of image recognition, and the method comprises the steps: obtaining multi-frame attitude image data of each beef cattle object at different visual angles; on the basis of cattle hoof positions and head deflection angles in the attitude image data, attitude vectors of the beef cattle objects are obtained through calculation; performing recognition processing on each posture vector, and determining each posture key point of each beef cattle object; calculating the credibility of each posture key point under the current posture based on the dispersion degree of each posture key point and the position deviation relative to other posture vectors; when the credibility meets a preset condition, body size information of the beef cattle object is calculated according to posture key points corresponding to the credibility in the multi-frame posture image data; and based on the body size information in the preset growth time period, drawing a growth curve of each beef cattle object. The technical effect of improving the accuracy of the detection body size data evaluation is achieved.