14 results about "Management effects" patented technology

The invention belongs to the technical field of hydraulic environment intelligent management, and discloses a hydraulic environment intelligent management system and method based on multi-parameter monitoring. Comprising the following steps: identifying pollution source types in the mixed pollution source based on multi-dimensional environmental parameters, obtaining contribution strength and treatment priority of various pollution sources, analyzing the contribution strength, obtaining pollution concentration gradients and pollution diffusion fluxes of various pollution sources, and determining the pollution source types in the mixed pollution source based on the analysis of the pollution concentration gradients and the pollution diffusion fluxes. The method comprises the following steps: determining migration and diffusion paths and emission sources of various pollution sources, analyzing each divided region of the coastal wetland, obtaining an ecological sensitivity index of each region, determining a risk level of each region of the coastal wetland based on the ecological sensitivity index and a pollution concentration gradient, establishing a constraint system, and formulating a management scheme for each region of the coastal wetland. The management strategy is formulated and dynamically updated for the coastal wetland, the contribution intensity of each pollution source is precisely split, and the management effect of the mixed pollution source is improved.

The invention relates to the technical field of intelligent management and control, in particular to a pesticide residue detection intelligent management method and system based on multi-mode cooperation. The method comprises the specific implementation steps that firstly, digital twin bodies containing a pesticide degradation prediction model are constructed based on multi-modal data, and the multi-modal data comprise sample detection data, agricultural management data, meteorological data and supply chain data; then, generating a final farming scheduling sequence by using the digital twinborn body; next, simulating agricultural product batches obtained by the final farming scheduling sequence to generate a dynamic portrait, and constructing a multi-objective planning model to perform path deduction to generate a disposal path; and finally, automatically triggering a hierarchical supply chain collaborative management action based on the disposal path. By predicting future state evolution of agricultural products, an intelligent collaborative management effect of active avoidance and dynamic optimization is achieved.

The application discloses a kind of salinized land differentiation partition management and crop adaptation method, it is related to salinized land management and agricultural engineering field.The method is by obtaining the soil salinization index data of plot unit, water salt transport condition data and engineering implementability constraint data, to each plot is normalized and union partition analysis, generates different management type area;For each management type area generates multiple rounds of management path, and reaches crop target soil state window to reach the accessibility determination, to filter adaptation crop;After management implementation, by retest data triggers path switching or parameter adjustment, realizes dynamic closed-loop control.The application can consider soil physicochemical properties and water salt transport condition at the same time, give consideration to engineering implementation constraint, realize the fine and dynamic management of salinized land management and crop planting decision, improve the stability and practical application feasibility of management effect.

The invention belongs to the technical field of intelligent agriculture and ecological management, and relates to an intelligent agriculture ecological value implementation system and method based on data and business double closed loops. The system realizes ecological value conversion through a three-layer architecture: a basic resource layer integrates multi-source data with a block chain, big data AI and Internet of Things technologies to ensure credible data storage; the business application layer completes ecological restoration, carbon sink transaction and intelligent contract income distribution through a production management module, a value implementation module and a quantitative distribution module; and the consumer system broadens fund channels and feeds back production data through a marketization payment mechanism. According to the invention, through double-closed-loop operation of data flow and capital flow, a self-optimization mechanism of'treatment effect improvement-value increase-consumption enhancement-resource expansion 'is constructed, ecological treatment is converted from cost burden to a value engine, and a health nutrition chain from soil to dining tables is constructed; and a multi-element participated solution is provided for an ecological management project. And the method serves food safety, rural revitalization and double-carbon strategy.

The invention relates to a biological turbulence driven low-carbon intelligent treatment method, device and system for injurious insects and harmful rats, and the treatment method comprises the following steps: S1, releasing gas-phase or liquid-phase injurious insect and harmful rat behavior biological interferon in a local controlled space, enabling the injurious insects and harmful rats to instantaneously generate behavior disability and become behavior disability injurious insects and harmful rats; s2, applying direction-adjustable strong airflow in the local controlled space while the step S1 is carried out; s3, the biological interferon, the direction-adjustable strong airflow and the behavior-disable pests and rats jointly form biological turbulent flow and form a biological turbulent flow field, and the behavior-disable pests and rats in the biological turbulent flow field are transported and entrained into a physical collection area by vortex cores in a blowing, absorbing and coupling mode; and S4, carrying out non-chemical treatment on the behavior disable pests and rats in the physical collection area. According to the invention, the low-carbon environment-friendly treatment effect of second-level'disability-turbulence-collection-harmless treatment 'of the pests and the rats is realized, and the device is widely applied to the treatment of the pests and the rats in closed, semi-closed and open spaces.

The invention relates to the technical field of food supply management, and discloses an AI-based canteen material handover acceptance and traceable management system and method. According to the invention, material acceptance data is processed based on AI visual analysis and other technologies, a generated material quality inspection report provides an indisputable evidence basis for quality evaluation, and then a unique corresponding relation between a receipt and a real object and consistency with order requirements are ensured through a multi-modal data fusion and bidirectional verification method, so that the quality evaluation efficiency is improved. And then the acceptance result and the disposal action are solidified and associated to obtain an inventory update record, so that a complete and non-tampering data chain from acceptance to warehousing is formed, the problem that the acceptance decision process cannot be effectively supervised and traced in the prior art is solved, the acceptance decision process is enabled to be supervised and rechecked, and the acceptance decision process is enabled to be more accurate. And objective evidences of the whole link can be provided when subsequent disputes occur, so that the responsible party can be accurately judged, and the management effect can be comprehensively improved.

The invention provides a comprehensive treatment effect evaluation system for ecological space planning, and relates to the technical field of ecological space planning, and the system comprises a data collection module which is used for collecting multi-dimensional environment data in an ecological space in real time; the data processing module is used for preprocessing the collected ecological data; the multi-dimensional analysis module is used for carrying out comprehensive analysis on various environmental factors in the ecological space and the mutual relation of the environmental factors based on the collected environmental data, and the synergistic effect calculation module is used for evaluating the synergistic effect among different treatment measures. According to the comprehensive treatment effect evaluation method and system for ecological space planning, all aspects of the ecological space are comprehensively covered by utilizing environmental factors, biological factors and social economic factors through collection and processing of multi-dimensional data. By constructing the multi-dimensional ecological space evaluation index system and using the analytic hierarchy process to carry out weight distribution, different types of data can be effectively integrated, and the ecological space treatment effect can be comprehensively evaluated.

The invention relates to the technical field of agricultural Internet of Things, in particular to a water and fertilizer integrated management system based on greenhouse Internet of Things. A water and fertilizer strategy auxiliary mechanism containing a flower feature extraction unit, a sensor feature extraction unit and an auxiliary strategy output unit is constructed to generate a feature detection demand and a task detection demand, a total detection signal number is obtained, and a monitoring frequency interval is matched to generate a parameter optimization strategy. Fine monitoring requirements of different flowers and planting tasks can be met, and limitation of a universal strategy is reduced; real-time reference spectral data of a sensor are collected through a preset automatic calibration mechanism, spectral deviation is calculated, a sampling deviation index is obtained, a sudden change sensor is marked by analyzing parameter fluctuation of the sensor in a stable state time period, then a time sequence sudden change frequency is obtained, a comprehensive abnormal value is output through calculation, and the sensor to be calibrated is accurately recognized through the comprehensive abnormal value. Manual calibration dependence is reduced, sensor data precision is improved, and influence of unreliable data on water and fertilizer management effects is avoided.

The invention relates to the technical field of agricultural biology, particularly discloses a cell membrane stabilizing method and system for improving low-temperature adaptability of rice in rice and crab planting and breeding, and aims to solve the problems of cell membrane damage caused by low-temperature stress of rice in rice and crab planting and breeding, ecological safety and popularization. CMSPC is prepared, targeted modified nanoparticles are loaded and automatically applied to a rice field, and cell membranes are stabilized after the CMSPC is absorbed by rice; the system integrates CMSPC preparation, environment / rice / crab monitoring, decision making and application. According to the accurate, environment-friendly and efficient solution, the low-temperature adaptability of the rice is effectively improved, meanwhile, the limitation that a traditional breeding period is long, the agronomic management effect is limited and a chemical / biological regulating agent is not friendly to the ecological environment is overcome, and a key technical support is provided for environment-friendly, sustainable and healthy development of the rice crab breeding industry.

The application relates to a management method and system for chemical safety information, and relates to the field of information management technology. The method comprises the following steps: acquiring an information storage state; defining a changed information name when the information storage state is consistent with a preset information change state, and acquiring information change basis according to the changed information name; determining a target word, an attribute word and a changed word in the information change basis, and determining equivalent information name in a preset information base according to the target word; determining a changed information name and a fixed information name in the equivalent information name according to the attribute word; adjusting the changed information name according to the attribute word and the changed word, adding an adjustment completion mark after the adjustment, and adding a fixed prompt mark under the fixed information name. The application has the function of improving the management effect of chemical information.

The invention provides an equipment management method and related equipment, and the equipment can pre-store basic information and biological characteristics of each user, and sets roles for each user, for example, an administrator role has management and release authority, and a non-administrator role does not have the authority. Only an administrator (such as a parent) can manage the time when a user (such as a child) uses the device through voice control, whether voice information is sent to the administrator to control the device or not can be verified through biological characteristics, the child can be prevented from breaking through management in the role verification process, and the management effect is more stable. Moreover, in the management process, a camera of the equipment can collect multiple pieces of face information in front of the equipment, and the accurate time for each user to really use the equipment can be determined according to the multiple pieces of face information, so that real-time management and personalized management can be performed for each user.

The invention relates to the technical field of cosmetic cabinet management, and discloses an intelligent management method for articles stored on the basis of a cosmetic cabinet. The method comprises the following steps: firstly, collecting feature data of articles stored in the cosmetic cabinet, and constructing an article space model; setting an article use monitoring model, testing the monitoring performance of the article use monitoring model, and adding the model into the article space model; calculating the total article consumption and the theoretical management load of the model in a preset period, and obtaining the management flow by combining the monitoring performance; on the basis of this, control information of the management valve is generated and a control operation is performed to evaluate the article management situation. According to the method, by constructing an article space model and setting a monitoring model, dynamic monitoring and management of articles in the cosmetic cabinet are realized, article states and space distribution can be clearly presented, article use conditions can be tracked, a management strategy can be dynamically adjusted, and a management effect can be evaluated for continuous optimization. The article taking convenience, the space utilization rate and the management accuracy are improved, and efficient article management experience is provided for users.

The application discloses a kind of life cycle management methods and systems of heterogeneous functional components, and the application relates to the technical field of life cycle management, multiple function packages are loaded to corresponding multi-source management space, and multiple subspace sources are marked in the multi-source management space, the priority of each subspace source is sorted, and the corresponding download event is determined by cross matching of each function package;Multiple subspace sources include local cache source, enterprise private source and official public source, improve the accuracy of download event.According to the corresponding conflict resolution means determined by the conflict content and the corresponding constraint relationship, the target framework is determined in combination with the corresponding framework compatibility, and the load of the corresponding heterogeneous functional component is marked to optimize the occupation of the corresponding memory, and the life cycle management of heterogeneous functional components is triggered by combining the state tracking mechanism of each function package, which improves the life cycle management effect of heterogeneous functional components.

The present application relates to the field of livestock breeding technology, especially to a breeding environment management and control system and method applied to a smart dairy farm, specifically comprising a breeding environment management and control center, an environment sensing data module, a model and influence management module, a scene recognition module, a scene matching and regulation module, a dynamic emergency management module and a visual board module; through standardized collection and processing of multi-source heterogeneous data, the data foundation of intelligent management and control is consolidated, a differentiated environment-performance regression correlation model is constructed for different physiological stages of dairy cows, accurate quantitative prediction of dairy cow performance and effective identification of environmental risk factors are realized, through multi-feature fusion scene recognition, the breeding scene is accurately determined, and personalized environment regulation strategies oriented to dairy cow performance recovery are matched, a dynamic closed-loop management and control mechanism and standardized equipment fault replacement screening rules are established, the gap in management and control capacity is quickly filled, so as to realize the management effect of dairy cow environment regulation.