148results about How to "Guaranteed Sustainability" patented technology

The invention discloses a decision-making method and model for off-line reinforcement learning and continuous on-line fine tuning, and the method comprises the steps: obtaining original text-image pair data and historical track data, and obtaining an enhanced state sequence through feature matching verification and standardization processing; performing sequence prediction by using a multi-level attention mechanism, and obtaining pre-training model parameters through knowledge distillation and task adaptability enhancement; on the basis of stability evaluation and plasticity control, online knowledge migration is carried out on the model, and optimized model parameters are obtained by combining experience playback optimization; and finally, performing multi-dimensional performance evaluation and resource optimization. According to the method, through multi-modal feature fusion, dynamic knowledge migration and an adaptive optimization mechanism, the problems of insufficient feature representation, disastrous forgetting, low optimization efficiency and the like are effectively solved, and the learning efficiency and generalization ability of the model are improved.

The invention provides an implementation method of an irrigation area real-time data acquisition and monitoring system, the system comprises a plurality of nodes uniformly distributed in an irrigation area, the nodes are divided into acquisition nodes and user nodes, the acquisition nodes are divided into head nodes and member nodes, the head nodes are used for executing forwarding operation, and the member nodes are used for executing forwarding operation. The member nodes are used for executing data collection operation, and the user nodes are used for monitoring data; according to the implementation method of the irrigation area real-time data acquisition and monitoring system provided by the invention, a worker can quickly acquire accurate real-time data, such as humidity and drought degree, of the irrigation area, so that effective measures are taken, healthy growth of crops and sustainability of crop production are ensured, and the implementation method has a wide application prospect.

The invention discloses a crop straw returning soil fertility evaluation method based on the Internet of Things, particularly relates to the technical field of agricultural soil evaluation, and is used for solving the problem that the risk that the negative effect of a soil physical structure exceeds the positive effect cannot be warned in time in the prior art. A straw returning area is divided into a plurality of sub-areas, straw returning uniformity and straw processing quality are analyzed based on the Internet of Things, and soil risk sub-areas are determined. And then, analyzing the time sequence data by adopting a long-short-term memory network model, predicting the probability that the negative effect exceeds the positive effect, evaluating the spatial effect of the adjacent sub-regions through a geographically weighted regression model, and finally comprehensively evaluating and early warning the out-of-control degree of the straw returning to the soil fertility. The dynamic monitoring and evaluation precision of the soil structure change is improved, and the problems of soil compaction, fertility decline and the like are effectively prevented.

The invention relates to the technical field of medical behavior data monitoring, in particular to a medical insurance common outpatient service supervision system and method based on a fraud abnormal portrait technology, and the system comprises a medical transaction data collection module, a medical behavior analysis module, a risk assessment feedback module and a medical transaction database. According to the medical insurance ordinary outpatient service supervision system and method based on the fraud anomaly portrait technology, a more comprehensive risk assessment system is provided, and by means of an intelligent means, the medical object behavior anomaly risk, the medical institution behavior anomaly risk and the number of abnormal behavior overlapping cycles are comprehensively analyzed, so that the risk assessment efficiency is improved. According to the invention, the method achieves the precise recognition, early warning and prevention of fraud abnormal behaviors in a common medical insurance outpatient service, facilitates the improvement of the use efficiency of medical insurance funds, guarantees the fairness and sustainability of a medical insurance system, protects the benefits of a patient, maintains the fairness and efficiency of a medical system, and also facilitates the improvement of the management level and service quality of a medical institution.

The invention discloses a water environment safety early warning method and system based on the Internet of Things, and relates to the technical field of water environment monitoring and safety alarming, and the main scheme is as follows: firstly, collecting water quality physical and chemical parameters and water quantity parameters of a current detection period, then respectively calculating each subentry index, and calculating the water quality index; comprising temperature, turbidity, conductivity index and the like obtained by physical parameters, dissolved oxygen, pH value, lead content index and the like obtained by chemical parameters, and water quantity index, so as to obtain water quality physical index, chemical index and water environment safety index, and then judge whether to trigger safety real-time alarm or not; and acquiring data of a previous cycle to calculate a historical water environment safety index and an index growth rate, and comparing with corresponding threshold values to judge whether to give a delayed alarm. According to the method, multi-parameter and multi-cycle data are integrated, a comprehensive and accurate judgment basis is provided for water environment safety monitoring, the monitoring accuracy and reliability are effectively improved, and the water environment safety is guaranteed.

The invention discloses a territorial space planning risk assessment method based on multi-dimensional analysis, relates to the technical field of Internet, and aims to obtain and pre-process data from different sources, ensure the consistency and reliability of the data, simulate city expansion, predict future expansion areas and trends, and combine ecological environment data to evaluate the risk of territorial space planning. According to the method, an ecological sensitive area is further marked, necessary space information is provided for subsequent risk assessment, in a multi-dimensional risk assessment model, a comprehensive risk assessment index ZR is obtained by comprehensively considering multiple aspects of biological habitats, ecological connectivity and water resource flow, the possible influence of urban expansion on the ecological environment is comprehensively reflected, and the risk assessment efficiency is improved. Through comparison with a preset risk assessment threshold value Zth, the risk level of urban expansion is effectively assessed, potential ecological crisis is found in time, the model is optimized through continuous verification and assessment, and sustainability of urban expansion and protection of the ecological environment are ensured.

The invention discloses a ship distributed hybrid energy system and an evaluation method thereof, the system comprises a solar photovoltaic module, a wind driven generator module, a diesel generator module, an energy storage system, a converter module, a combined heat and power generation module and a thermal load controller, and the method comprises the steps of obtaining ship data information; performing analysis according to the ship data information; according to the power load analysis, heat energy converted by the residual electric quantity in the energy storage system through the combined heat and power generation module is obtained; obtaining an optimal combination according to an analysis result of the thermal load analysis; performing power demand-based dynamic pricing analysis, environmental influence evaluation analysis and social factor evaluation analysis on the optimal combination; according to the evaluation analysis result, determining that the corresponding optimal combination is a solution for comprehensive and sustainable use of the ship energy; the problems that in the prior art, many defects exist in the aspects of an energy structure, intelligent management and system integration, and efficient utilization, intelligent management and sustainable development of an energy system cannot be achieved are solved.

The invention relates to the technical field of ecological environment monitoring and evaluation, in particular to a deep-sea mining disturbance ecological damage evaluation method based on data analysis, which comprises the following steps of: S1, simultaneously acquiring data of various disturbance factors in a direct influence area and an indirect influence area of mining disturbance; s2, extracting characteristic parameters of each disturbance factor to obtain a characteristic set of each factor; s3, identifying factor combinations with interaction; s4, constructing a multi-factor fused ecological damage assessment model, and generating an ecological damage value; s5, dividing ecological damage grades; when the damage value reaches or exceeds the threshold value of the corresponding grade, a corresponding early warning mechanism is triggered, and a corresponding ecological protection suggestion is generated. According to the method, through multi-factor fusion analysis and a grading early warning mechanism, accurate evaluation and timely response to deep-sea mining disturbance ecological damage are realized, and the effectiveness of ecological protection measures is improved.

The invention relates to the technical field of water quality monitoring, in particular to a distributed raw water quality real-time monitoring system which comprises an underground water sampling module, a sample analysis module, a water quality feedback terminal and a data storage terminal. And finally, the water body quality corresponding to the underground water quality in the target raw water body area is fed back to a system interface for interface display, the water quality evaluation can guarantee the safety and sustainability of the water resource, and the water quality evaluation efficiency is improved. Health risks and economic losses caused by water quality pollution are avoided, and underground water quality evaluation has direct influence on public health. Various health problems may be caused by drinking or using the water for a long time, the drinking water safety of residents can be guaranteed, health risks can be found and treated in time, and therefore the health of the residents is protected.

The invention relates to the technical field of aquatic product resource management, in particular to a protection area management planning method and system based on aquatic product resource survey data, and the method comprises the steps of data collection and preprocessing, data fusion and feature extraction, aquatic product resource evaluation and analysis, protection area management planning making, dynamic monitoring and adjustment and decision support and visual display. The method comprises the following steps: deploying aquatic product resource investigation equipment, remote sensing equipment and environment monitoring equipment, acquiring aquatic product resource data in real time, identifying key feature variables, performing partition evaluation on aquatic product resources by combining a clustering analysis method, formulating a protection area management plan, and performing resource change trend prediction through dynamic monitoring and a machine learning algorithm. Dynamic adjustment of protection area management is realized, a visual tool is used to display a resource change trend and a management state, and real-time decision support is provided for a decision department. According to the method, the management capability of the aquatic product resource protection area can be effectively improved, and a scientific guarantee is provided for ecological protection and sustainable utilization of resources.

The utility model relates to the technical field of spring type safety valves, and discloses a spring type safety valve capable of recovering media, which comprises a base flange plate, the top of the base flange plate is communicated and connected with a valve seat, the top of the valve seat is slidably connected with a recoil disc, the inside of the recoil disc is fixedly connected with a valve rod, and the valve rod is fixedly connected with a valve rod. The top face of the base flange plate is connected with a valve body in a screwed mode through bolts and nuts, and the top of the valve body is fixedly connected with a guide pipe. According to the spring type safety valve capable of recycling the medium, through the arrangement of the medium recycling and metering assembly, when the medium is subjected to pressure relief and export through the spring type safety valve, the medium flows out through the flow metering pipe, and a gas flow sensor arranged in the flow metering pipe monitors the flow of the medium; and the conversion controller converts the medium flow into a numerical value to be displayed on the flow display screen, so that the amount of the recycled medium can be accurately monitored, the production process is controlled and optimized, the cost control is improved, and the sustainability of the recycled medium is ensured.

The invention relates to the technical field of rocket offshore launching, and discloses an offshore suspension type rocket launching platform and a using method thereof.The offshore suspension type rocket launching platform comprises a launching platform body, a conical cooling groove is formed in the launching platform body, a water passing groove is formed in the launching platform body, and the water passing groove penetrates through the launching platform body and the conical cooling groove; a heat transfer block is fixedly installed at the top of the launching platform, the bottom of the heat transfer block extends into the conical cooling groove, the cooling mechanism comprises a strip-shaped box fixedly installed at the bottom of the launching platform, and a water pump is fixedly installed on the inner wall of the bottom of the strip-shaped box; a water conveying pipe is fixedly mounted at the top of the strip-shaped box, the water outlet end of the water pump communicates with the water conveying pipe, and a mounting groove is formed in the launching platform. Sediments deposited on the inner wall of the conical cooling tank can be swept into the collecting tank to be collected in the rotating process of the scraping plate, and the inner wall of the conical cooling tank is prevented from being corroded by the sediments containing salt.

The invention relates to the technical field of big data processing and intelligent optimization, in particular to a rural space optimization method and system, and the method comprises the steps: collecting multi-dimensional data in a rural region in real time, carrying out the dynamic feedback analysis through an AI-driven feedback system, and combining a multi-agent system with a game theory model, thereby generating an optimal space layout path. And then, through association rule mining and a dynamic target re-optimization algorithm, continuously adjusting and optimizing the rural space layout, and realizing a long-acting optimization mechanism. According to the invention, changes can be responded in real time in a dynamic environment, sustainable development of a rural area is ensured, ecological protection, economic benefits and social acceptance are improved, and comprehensive optimization of a rural space is realized.

The invention discloses a mine ecological safety identification method based on a convolutional neural network model, and relates to the technical field of mine ecological safety identification. A convolutional neural network CNN is introduced to automatically optimize a resistance value, a time dimension and a dynamic factor are combined, and a resistance surface is monitored and adjusted in real time, so that the safety of mine ecological safety identification is improved. The method can dynamically respond to the influence of topographic change, vegetation density fluctuation and meteorological change, can capture the real-time influence of sudden rainfall, mining area extension or vegetation restoration and the like, the generated resistance surface has high timeliness and accurately reflects the dynamic characteristics of an ecological system, and meanwhile, the circuit theory and deep learning are combined, so that the method can be widely applied to the field of ecological engineering. According to the method, multiple potential migration paths are generated, dependence on a single minimum resistance path is avoided, more diversified migration choices are provided, path weights are dynamically optimized in combination with a time sequence model, channels with high ecological values and high migration requirements are preferentially protected, and it is guaranteed that a migration network has enough elasticity and adaptability.

The utility model discloses an ecological protection device for a side slope containing easily-weathered rocks, which comprises a side slope body, a plurality of lattice beams are poured on the side slope body, anchor rods are arranged at the connection positions of vertex angles of adjacent lattice beams, the anchor rods are embedded into the side slope body, hooks are fixed on the inner sides of the lattice beams, and ecological bags are built in the lattice beams. The ecological bag is covered with a net piece, and the edge of the net piece is hung on the hook and detachably connected with the hook 5. The meshes are fixed to the hook hanging pieces of the lattice beams, the stability of the ecological bags is improved, a detachable device composed of the meshes and the hook hanging pieces facilitates maintenance and replacement of ecological bag vegetation in the lattice beams in the later period, the side slope maintenance cost is reduced, the double effects of reinforcing side slope rock-soil bodies and greening ecology are achieved, and the side slope protection effect is improved. The slope protection structure belongs to green ecological protection, is wide in application range, can be applied to sandy soil, soil slopes and the like with steep rock slope ratios, and particularly has remarkable advantages in slope protection of easily-weathered rock slopes.

The invention belongs to the technical field of geological disasters, and discloses an urban slope stability characteristic analysis method and system based on a block gliding risk, and the method comprises the steps: calculating the stability characteristic of each station based on a plane gliding method through measuring the slope size, soil and vegetation characteristics and other data; the relationship between the stability coefficient and each sensitive factor is analyzed, and the research result shows that the slope stability coefficient of each sampling point is basically more than 1.0, and the landslide risk is extremely low; the soil cohesive force has the greatest contribution in maintaining the stability of the slope and is most sensitive to the stability coefficient of the slope; the soil water content can reduce the slope stability coefficient from the aspects of increasing the self weight of the soil body, reducing the soil cohesive force and the like; the soil root system density can improve the overall stability of the slope from the aspects of enhancing the shear strength of soil, reducing soil erosion and the like. Soil is reinforced through vegetation concrete and other technologies, meanwhile, the slope vegetation coverage rate is increased, and regular monitoring of the midsole risky slope state is a good method for reducing the landslide risk of the midsole risky slope.

The invention provides a lifting type net cage anchoring device management method and system, and relates to the technical field of aquaculture anchoring, and the method specifically comprises the steps: collecting the environment parameters and GPS positioning data of the position of a device in real time, and calculating the displacement of the device; performing dimensionless processing on the collected data to generate a comprehensive environment index, an anchoring stability index and a water quality health index; the three are comprehensively analyzed to generate a comprehensive evaluation index reflecting the overall state of the system; and comparing the comprehensive evaluation index with a preset threshold value, and formulating a corresponding management strategy. According to the invention, various environmental parameters are collected in real time, GPS positioning data are combined, and the comprehensive environmental index, the anchoring stability index and the water quality health index are generated, so that comprehensive evaluation of the lifting type net cage anchoring device is realized, the comprehensive evaluation index is more operable, potential risks can be identified in time, and the safety of the lifting type net cage anchoring device is improved. A corresponding management strategy is made according to the comprehensive evaluation result, and the stability of the anchoring device is improved.

The invention discloses a water resource allocation method and device considering multiple uncertainties and a storage medium. The method comprises the following steps: firstly, constructing a water resource optimization model based on multiple uncertainty constraints; secondly, taking the water amount configured by a water department as the position of a hiking traveler and initializing the position, and then performing first optimization by setting a plurality of group scales to obtain a first candidate position and a first candidate objective function; updating the positions of the hiking travelers by using a hiking algorithm, calculating all the positions of the hiking travelers meeting constraint conditions to obtain a second candidate position and a second candidate target function, judging the advantages and disadvantages of the target functions, performing replacement by using the better target function and position, and performing loop iteration to reach the maximum number of times to obtain the hiking travelers. And outputting the final first candidate position and the corresponding first candidate target function as results. According to the method, multiple uncertainties are considered, the actual situation can be simulated more accurately, the optimal solution can be obtained more accurately in combination with the hiking algorithm, and the solving quality and efficiency are improved.

The invention provides a medical insurance early warning auditing method and system, and belongs to the technical field of data processing, and the method comprises the steps: obtaining a data source of a target database corresponding to a target management system in response to the recognition that the target management system has a data updating request, the target management system being a system associated with the medical insurance early warning auditing system; performing keyword extraction on the data source of the target database to obtain a keyword group; matching the keyword group with an auditing rule base to obtain a target auditing rule matched with a data source of a target database, wherein the auditing rule base is a rule base customized by a hospital; and performing early warning on the data updating request in the target management system based on the target auditing rule. According to the invention, early warning can be carried out before medical insurance auditing and during medical insurance auditing, and normal operation of the system is ensured.

The invention discloses a management analysis method and system based on big data, and relates to the technical field of big data analysis, and the method comprises the steps: collecting park illumination demand data in real time through an integrated sensor group, transmitting the park illumination demand data to a big data management platform through a wireless network, and integrating the park illumination demand data with other data sources to generate a complete data set. On the basis of an illumination demand prediction algorithm model, an illumination demand coefficient Lreq (t) is calculated in real time, an illumination demand nonlinear coefficient Lfxx (t) is calculated and output in combination with interaction of nonlinear terms and parameters, and a prediction result is refined. In the self-adaptive power adjustment, the system dynamically adjusts the power of the street lamp according to the difference between the illumination demand nonlinear coefficient Lfxx (t) and the actual output illumination Lout (t), ensures proper illumination, improves the energy efficiency, avoids excessive illumination, and particularly achieves a remarkable energy-saving effect when natural light is sufficient, the number of people is small and related festival demands are met.

The invention discloses a deep in-situ resource composite fluidization mining method. The method comprises deep in-situ resource liquefaction mining, deep in-situ resource gasification mining and deep in-situ resource reinforcement and degradation. Wherein deep in-situ resource liquefaction exploitation is realized through combination of well group hydraulic fracturing and organic solvent dissolution; in the deep in-situ resource gasification mining, the residual solid coal resources after liquefaction are gasified and combusted, and heat extraction is achieved through heat exchange; in the deep in-situ resource reinforcement and degradation process, during filling reinforcement, residual coal resources are continuously utilized through the degradation effect of microorganisms; integrated mining is formed through mutual cooperation of liquefaction, gasification and microbial degradation of deep in-situ resources, the utilization efficiency of deep in-situ resource conversion is greatly improved, the resource recovery rate is remarkably improved, underground residual chemical reagents are treated, the problem of environmental pollution is effectively relieved, and the method is suitable for industrial production. And a technical support is provided for the development of a deep in-situ resource fluidization mining theory.

The invention discloses an emergency mobile edge calculation method and system based on a space-air-ground integrated network, and the method comprises the steps: collecting the position information of vehicles and an unmanned plane based on an LEO satellite, and obtaining CHUs corresponding to all vehicles; in combination with the CHU corresponding to each vehicle, the unmanned aerial vehicle closest to the CHU is obtained, other unmanned aerial vehicles in the unmanned aerial vehicle cluster are determined, and a clustering strategy is obtained; in-cluster task splitting is executed, and a corresponding calculation task is unloaded to the in-cluster unmanned aerial vehicle for in-cluster cooperative calculation; a vehicle task unloading strategy is determined according to the position relation between a vehicle and a current CHU, a corresponding unmanned aerial vehicle cluster is switched or local calculation is used, aiming at the problem of insufficient coverage of unmanned aerial vehicles, the vehicle unloads a calculation task to a cluster head unmanned aerial vehicle CHU, task splitting is performed by the CHU, in order to ensure the continuity of calculation, a dynamic unloading strategy is designed, and the calculation efficiency is improved. And the vehicle switches the corresponding unmanned aerial vehicle cluster in the moving process and uses local calculation in good time, so that the sustainability of processing a calculation task by the vehicle is ensured.

The invention provides an energy pile structure based on shaping phase change material backfilling and an operation method of the energy pile structure. The energy pile structure sequentially comprises a pile core heat injection base material A, a heat removal heat shield base material B and a concrete shell from inside to outside. A heat injection pipe is arranged in the pile core heat injection base material A, and a heat removal pipe is arranged in the heat removal heat shield base material B; the heat extraction heat shield base material B is internally connected with the pile core heat injection base material A, and is externally connected with the concrete shell; the pile core heat injection base material A and the heat extraction heat shield base material B are both made of shaped phase change materials; and the heat removal heat shield base material B adopts asymptotic phase change, so that the problems that underground cold and heat loads are unbalanced, a ground temperature field is unbalanced, inter-pile heat interference is serious, underground heat transfer efficiency is low, and the heat and cold supply capacity and energy efficiency of a system are not expected and are reduced year by year when an existing shallow soil source heat pump energy pile supplies heat and cold are solved.

The present application provides a kind of bamboo planting cutter device and cutting method, it is related to bamboo branch and leaf harvesting technical field, including cutter handpiece, the cutter handpiece is installed with telescopic positioning piece;The telescopic positioning piece is used to prevent pulling down bamboo branch;Telescopic positioning piece is installed with shear control part;The shear control part is used to prune bamboo branch;Two bamboo branch positioning pieces are fixedly installed on shear control part;Electric cutting bamboo branch can be adopted shear control part, is more labor-saving fast, improves bamboo branch harvesting efficiency, simultaneously, the present structure adopts telescopic positioning piece when cutting bamboo branch, can prevent artificial pull down shear control part or under the action of support rod self-weight pull down shear control part, easy to cause bamboo branch and the ingrowth site of main stem, that is, bamboo knot place split;To solve the problem that current bamboo planting cutter device is not convenient for preventing pull down protection, also inconvenient for bamboo branch at cut-off place to smear lime mortar sterilization protection.

The present invention relates to the field of aluminum oxide technology, and specifically to an intelligent detection and setting system for aluminum oxide dissolution process. First, real-time data is obtained from the production line, including a first data set, a second data set, and a third data set; then, three module historical data sets in the historical data are obtained and preprocessed to obtain three preprocessing sets; according to the three preprocessing sets, model training is performed respectively to obtain three parameter prediction models; further, the three parameter prediction models analyze the first data set, the second data set, and the third data set respectively to obtain a first prediction result, a second prediction result, and a third prediction result; finally, according to the three prediction results, the first parameter group, the second parameter group, and the third parameter group in the dissolution process are set respectively.

The present invention discloses a management and analysis method and system based on big data, which relates to the technical field of big data analysis. The method collects park lighting demand data in real time through an integrated sensor group, transmits it to a big data management platform through a wireless network, and integrates it with other data sources to generate a complete data set. Based on the lighting demand prediction algorithm model, the lighting demand coefficient Lreq(t) is calculated in real time, and the output lighting demand nonlinear coefficient Lfxx(t) is calculated in combination with the nonlinear term and the parameter interaction to refine the prediction result. In the adaptive power regulation, the system dynamically adjusts the street lamp power according to the difference between the lighting demand nonlinear coefficient Lfxx(t) and the actual output light Lout(t), to ensure proper lighting, improve energy efficiency, avoid excessive lighting, especially when there is sufficient natural light, less traffic, and related holiday needs, to achieve significant energy-saving effects.

The invention provides a method for preparing a porous titanium dioxide catalyst carrier from ilmenite, and the porous titanium dioxide with high specific surface area, excellent adsorption performance and photocatalytic activity is prepared by selecting ilmenite with specific granularity and accurately controlling oxidation, reduction and acid leaching conditions. The method is simple to operate, mild in condition and environment-friendly, and provides a new way for preparation and application of porous titanium dioxide.

This application discloses a device management method and an electronic device, relating to the field of computer technology. The device management method includes enabling the configuration parameters to be applied to the hardware parameter layer without requiring a configuration file layer or device restart when the storage protection function is switched to an enabled state. This reduces the need to restart the electronic device when enabling the storage protection function. Furthermore, it retains default parameters from the configuration file, so that when the storage protection function is disabled and the electronic device is restarted, the hardware parameter layer configuration can be restored using these default parameters, further reducing the restart frequency of the electronic device. This solves the technical problem of requiring the restart of the electronic device during storage management, achieving the technical effect of reducing the restart frequency of the electronic device to improve the business sustainability of the electronic device, thereby improving the performance of the electronic device.

The invention relates to the technical field of environmental protection, in particular to a manipulator used for steel slag treatment and a steel slag treatment system and method based on image processing. The mechanical arm comprises a base, a first movement hand, a second movement hand and a movement control mechanism, wherein the first movement hand, the second movement hand and the movement control mechanism are arranged on the base. The first movement hand comprises a plurality of first fingers which are uniformly distributed, the second movement hand comprises a plurality of second fingers which are uniformly distributed, and the first fingers and the second fingers are oppositely arranged; the motion control mechanism controls the first motion hand and the second motion hand to move between a first state and a second state. A special mechanical arm structure is used for grabbing or screening granulated steel slag, waste steel with the large iron content is fished out, the waste steel is grabbed out in a closed space in cooperation with the image processing technology, and environment pollution is avoided while the waste steel is picked out.

The present invention is applicable to the technical field of feed additives, and provides a feed additive and application thereof for improving the reproductive performance of ewes, wherein the feed additive includes D-aspartic acid and N-carbamylglutamate, and the masses of D-aspartic acid and N-carbamylglutamate are 0.5 grams and 1.5 grams, respectively. The present invention innovatively combines D-aspartic acid with N-carbamylglutamate for ewe breeding, which can significantly improve the fertility of ewes and is suitable for promotion in farms. The feed additive can effectively improve the number of superovulations, high-quality egg rate, estrus rate, pregnancy rate, and number of lambs of ewes, while improving the health of lambs. Compared with reproductive hormones, functional amino acids have low cost, simple operation, no increase in labor burden, and overcome the problem of side effects such as abnormal ovarian development caused by long-term use of reproductive hormones to improve the fertility of ewes, ensuring the green, healthy and sustainable nature of the breeding process, and laying a solid foundation for the long-term development of the breeding industry.