3218results about How to "Reduce risk" patented technology

The invention discloses a multi-user sharing-oriented multimedia network video recommendation method, which comprises the following steps: firstly, constructing multi-user characteristics by utilizing collected program information in a multi-user sharing environment, and constructing a leading user label according to the similarity of the program characteristics and the continuity of user watching behaviors, so that separation of multi-user mixed logs is realized; performing periodic multi-user identification prediction of future sessions; secondly, building a user interest mining model based on a time-varying LinUCB algorithm to learn interest changes of a user for each program theme, and enhancing the personalized ability and efficiency of a recommendation system from three aspects of parallel calculation, adaptive control of an exploration coefficient and incremental updating based on LSTM; and finally, establishing an article quality model based on a non-time-varying LinUCB algorithm to further ensure the program quality, and integrating the two algorithms into a final recommendation system model by adopting a cross weighting strategy to form a final program recommendation list. The novelty and accuracy of the recommendation result are ensured.

The embodiment of the invention provides a modeling method and device for an airborne system function architecture model, computer equipment and a medium, and relates to the technical field of aviation architecture design, the method comprises the following steps: inputting a design requirement document into an airborne large language model, and in the large language model, under the structural constraint of an airborne system knowledge graph, establishing a design requirement document; the method comprises the following steps: extracting a logical relationship between entities required by airborne system modeling from a design demand document, screening a corresponding airborne meta-model according to the extracted logical relationship between the entities, and constructing a demand graph; constructing and outputting a text model of a concept scene, a text model of a task scene, a text model of a system function, a text model of a logic architecture and a text model of a physical architecture of the airborne system based on the demand graph; and inputting each text model into a system modeling language modeling terminal for visualization to obtain a multi-level functional architecture model of the airborne system. According to the scheme, the modeling efficiency, consistency and normalization are improved.

The invention discloses an injection molding production optimization method based on multi-agent cooperation, and the method comprises the following steps: decomposing a plurality of targets in an injection molding production process, and constructing a layered multi-agent structure; collecting data in the injection molding production process in real time, and constructing a global expert behavior track and a local expert behavior track; based on the global target and each local target, obtaining initial parameters of a global reward function and a local reward function; adopting an inverse reinforcement learning method to obtain an optimal global reward function and an optimal local reward function; obtaining an optimal decision strategy of each agent through a hierarchical collaboration mechanism by each hierarchical agent; when detecting that a conflict exists between the targets, dynamically adjusting the reward weight of the reward function by adopting a conflict coordination mechanism; and continuously collecting new expert behavior data, and updating the optimal decision strategy of each agent. According to the invention, a layered multi-agent inverse reinforcement learning method is adopted, and multi-target dynamic collaborative optimization of injection molding production is realized.

The utility model discloses a tunnel punching device, which belongs to the technical field of tunnel machinery and comprises a bearing plate, a drilling machine, a driving mechanism, a driving mechanism and a driving mechanism. The slag receiving cylinder and the water storage tank are both arranged on the bearing plate, and the drill bit movably penetrates through the bottom wall of the slag receiving cylinder; the annular pipe is arranged on the periphery of the slag receiving cylinder, and a plurality of spray heads are communicated with the annular pipe; the conversion cylinder is arranged on the water storage tank, and the conversion cylinder is connected with a linkage mechanism; according to the scheme, most disintegrating slag generated during punching can fall into the slag receiving cylinder, so that the threat of falling objects is reduced, and the safety protection effect is improved; meanwhile, under the cooperation of the linkage mechanism and the driving mechanism, water in the water storage tank is guided into the conversion barrel through the linkage mechanism, then the water is sprayed out through a spray head on an annular pipe, the sprayed water can conduct dust falling treatment on the periphery of the punching position, and the construction environment and the health of workers are better protected; and moreover, the shielding of dust on the sight line can be reduced, and the punching quality and effect are greatly improved.

The invention relates to the technical field of PCIe (Peripheral Component Interconnect Express), in particular to a PCIe dynamic degradation type link resetting method and system. Comprising the following steps: S1, continuously reading the LTSSM state of a PCIe link, recording the duration of an abnormal state, and when the duration exceeds a preset threshold value, judging that timeout abnormity exists; s2, after the abnormal early warning is received, a dynamic degradation reset instruction for the NVMe controller is initiated; s3, the state machine control unit takes over the reset link initialization process and follows the physical layer priority gt; the link layer is preferentially gt; a priority strategy is simplified by a transaction layer, and a centralized resource guide link rapidly completes training and enters an L0 state. Compared with the prior art, the method has strict protocol compliance, the reset efficiency is improved, and the overall stability and performance of the system are optimized.

The utility model provides an underwater robot for bridge detection, which relates to the technical field of bridge detection, and comprises a robot main body, a floating component for providing floating force is arranged at the upper part of the robot main body; the propeller set comprises two side propellers and two tail propellers, the two side propellers are located on the front face of the robot body, and the two tail propellers are located at the same end of the buoyancy assembly and symmetrically arranged front and back; and the two symmetrical walking mechanisms are arranged on the robot main body through mounting structural members. The beneficial effects of the utility model are that through the reasonable layout of the propeller group and the cooperative work of the propellers at the two sides and the tail part, accurate water surface positioning and movement are realized, and the robot is ensured to smoothly approach and fit a pile foundation from the water surface; the posture of the whole machine does not need to be adjusted when the pile foundation is close to the pile foundation, and the pile foundation can be directly adsorbed and attached through the propellers on the two sides; a tensioning mechanism in the walking mechanism has self-adaptability, and an elastic support is matched with a connecting frame connected in a sliding mode.

The invention relates to the technical field of intelligent monitoring of power equipment, in particular to an intelligent circuit breaker state monitoring method and system. The method comprises the steps that unified time sequence modeling is carried out on multi-dimensional operation data of the circuit breaker, periodic behavior fragments with internal rhythm characteristics are extracted, state feature vectors based on historical behavior self-reference are constructed, and the state feature vectors are mapped to a continuous interpretable state space to achieve dynamic visual expression of the operation state; on the basis, the state deviation intensity and the change direction consistency are quantified, so that progressive identification and early warning from normal operation to an abnormal state are realized; and combined prediction is further carried out in combination with a state trajectory and an abnormal index, a risk quantification result and an active intervention strategy are generated, and model adaptive optimization is realized through closed-loop feedback. According to the invention, intelligent operation and maintenance closed loop from real-time monitoring and abnormal early warning to predictive maintenance is completed.

The invention discloses an intelligent temperature control system for mass concrete, and the system comprises a state collection module which collects initial parameters of the concrete in real time, carries out the time sequence alignment and noise filtering of the state parameters of the concrete, and obtains the temperature state data of the concrete; the intelligent analysis module is used for inverting concrete thermal parameters through a physical information neural network based on the concrete temperature control data, substituting the concrete thermal parameters into a heat conduction finite element control equation to calculate space-time evolution of the whole-field temperature and stress field, and obtaining twin data of the concrete structure; and the prediction optimization module is used for executing multi-step rolling in a multi-input single-output branch mode based on the twin data of the concrete structure to predict temperature and stress evolution in a future time period, and learning dynamic association among the temperature, the stress and the cooling flow to execute minimum energy consumption screening of a temperature control standard and stress constraint to obtain an optimal cooling control instruction.

The invention discloses a voiceprint recognition system attack resisting method and device, equipment and a medium, by constructing a shadow voice sample set and a substitution model, dependence on target speaker data and query capability is reduced, and privacy risk and query overhead are reduced; meanwhile, two types of substitution models are trained based on an information theory method, so that the mobility and stability of the models are improved, and the generalization ability is enhanced; besides, the attacker model adopts a specific architecture and combines an alternate training strategy, so that attack loss and prediction probability difference are optimized, imperceptibility and attack effectiveness are balanced, and tone quality reduction or attack failure is avoided; and finally, through systematic training and optimization, a more uniform evaluation caliber is expected to be provided, and more reliable guidance is provided for engineering landing and risk evaluation.

The invention relates to the technical field of thread rolling machining, and discloses penetrating rod thread rolling equipment for an automobile air brake, the penetrating rod thread rolling equipment comprises a plurality of sets of thread rolling mechanisms which are sequentially connected in series, and each thread rolling mechanism comprises a feeding assembly, a thread rolling machining assembly, a discharging assembly, a feeding assembly and a detecting assembly; the detection module is used for detecting materials, the discharging module is used for discharging unqualified materials, and qualified materials can enter a thread rolling station; the thread rolling machining assembly is used for conducting thread rolling machining on the materials at the thread rolling station. The hopper in the subsequent thread rolling mechanism is in butt joint with the discharging assembly in the previous thread rolling mechanism. Three sections of threads are machined at a time by splicing the three thread rolling mechanisms, automatic conveying is achieved between the adjacent thread rolling mechanisms, materials do not need to be manually conveyed in sequence, the production efficiency is remarkably improved, and manual intervention is reduced; before entering the thread rolling process, the penetrating rod is subjected to at least one detection, defective products are eliminated, and the production requirements of high-precision parts are met.

The invention, which relates to the high-voltage cable joint installation field, discloses a high-voltage cable joint installation dust-free environment airflow optimization control system comprising a multi-source data processing unit, a predictive analysis unit, a weight dynamic distribution unit and a regulation and control execution unit. According to the method, a multi-source data processing unit collects process related data and external environment data, the data are input into a predictive analysis unit, and a process related prediction module prejudges process parameter changes and outputs instructions according to a structured rule base and an LSTM model; the environmental interference pre-judgment module classifies and identifies interference types such as rainfall and temperature and influence degrees and performs graded early warning, and the priority judgment module calculates the superimposed influence of two types of prediction, defines regulation and control priorities, dynamically adjusts parameter regulation and control weights, coordinates synchronous operation of multiple devices and completes regulation and control of airflow and environmental parameters. And through predictive analysis, upgrading from passive response to active pre-judgment is realized, and the stability of a high-voltage cable joint installation environment is improved.

The invention belongs to the technical field of plant planting, and discloses a plant root zone water-retaining agent targeted application method and system based on an intelligent model, and the method comprises the steps: obtaining plant parameter data, planting pit structure data and soil texture data; determining a root zone radius and a root zone effective depth, calculating a root zone cross section area and a root zone volume, and obtaining the number of layers and the volume of each layer; obtaining a water supply event record and a water content time sequence, obtaining a root zone equivalent infiltration volume, and obtaining a root zone effective water retention volume; calculating the notch volume of the effective moisture supply of the root zone by combining the effective moisture retention volume of the root zone, and endowing the notch with a grade mark; pre-constructing a water-retaining agent application prediction model, and outputting a water-retaining agent target dosage and layered putting proportion set; correcting an output result of the water-retaining agent application prediction model; modeling analysis is carried out on the moisture retention and notch of the root zone through the model, the water-retaining agent dosage and the layering proportion are output, and the pertinence and stability of water-retaining agent application are improved.

The invention discloses an alloy smelting batching scheme generation method and system, particularly relates to the technical field of metal material production and supply chain collaborative optimization, and is used for solving the problems of uncontrollable execution, cost waste and quality risk caused by disconnection of static parameters and a dynamic supply chain in an existing batching scheme. The method comprises the following steps: acquiring target alloy component demand parameters, raw material inventory allowance and purchase cycle parameters; identifying a dynamic constraint key material with a supply interruption risk; establishing a dynamic constraint model containing an inventory safety buffer threshold based on the historical consumption volatility; candidate batching schemes are generated through multi-level optimization; verifying inventory performability and compatibility of alternative material components; sorting and outputting the effective schemes according to the cost and inventory suitability; through supply chain risk quantification and dynamic constraint modeling, the feasibility of a batching scheme is remarkably improved, and production halt loss and potential quality hazards caused by supply interruption or blind substitution are reduced.

The invention discloses a smart city planning method and system based on digital twinning, relates to the technical field of city planning, and solves the problems that the scheme is not feasible due to dependence on manual interpretation of regulation texts, lack of automatic generation and matching of index constraint lists and possible neglect of key constraint conditions in planning suggestions, and meanwhile, the scheme is high in subjectivity and low in cost. And a unified quantitative model is lacked. Through the NLP technology, planning suggestions and regulation terms are compared in real time, conflict indexes are automatically marked, planning conditions and preliminary index calculation results are combined, the generated project planning suggestions strictly follow a policy framework, and manual interpretation errors or violation risks are avoided. A collaborative quantitative evaluation model of the single building and the regional landscape is established, and the landscape effect of the planning suggestion is evaluated from the dimensions of spatial layout, visual vestibule, skyline, color coordination and the like. The fusion degree of the project and the surrounding environment is visually reflected through quantitative scoring, and the deviation of subjective evaluation is avoided.

The invention discloses an automatic site selection method and system for a mountain fan hoisting platform, and belongs to the technical field of new energy wind power generation engineering, and the method comprises the steps: obtaining original topographic data, and reconstructing the original topographic data into a digital elevation model with a spatial index; querying the digital elevation model by using a spatial index based on the structural security constraint parameters of the fan foundation, and determining an effective elevation search interval; discretizing a calculation area into grid units in an elevation interval, taking a core area as a seed point, and outputting binary grid data through a potential energy driving cost function and a heuristic search extension platform boundary; performing morphological correction on the binary raster data and calculating the total earthwork amount; and iteratively searching and optimizing a scheme with the minimum total earthwork volume in the elevation interval, and converting the scheme into vectorized engineering primitives to be output. On the premise that the safety of the foundation structure is ensured, the earthwork amount is globally optimal, and the method has the advantages of being high in automation degree, high in terrain adaptability and good in engineering practicability.

The invention provides an infrared physiotherapy cabin system and method based on animal and environment cooperative regulation and control, and relates to the field of animal physiotherapy and intelligent monitoring control. Comprising an animal state and cabin environment monitoring module, an infrared physiotherapy and cabin environment regulation and control module, an animal health assessment and curative effect assessment module, a personalized treatment and intelligent decision module and a man-machine interaction and safety supervision module. A credibility result is formed through multi-modal data synchronous alignment and data quality evaluation, health state characterization is constructed under credibility gating, a risk level is output, and infrared physiotherapy control parameters and cabin environment regulation and control parameters are generated through cooperative control under the constraint of a stage control boundary and a treatment target and are issued and executed. Continuously adjustable parameters are subjected to online fine adjustment in the physiotherapy process, and rollback and interlocking protection is executed when the risk is increased or the credibility is reduced; after the period is finished, the curative effect is evaluated, data recording and tracing archiving are completed, and collaborative closed-loop infrared physiotherapy regulation and control of the animal state and the in-cabin environment are achieved.

The invention relates to the technical field of artificial intelligence and data processing, in particular to a material business data AI-oriented training and reasoning method and application, and the method comprises the steps: carrying out the heterogeneous data alignment based on a multi-dimensional space-time interpolation grid; reasoning optimization based on dynamic grouping cutting and cold and hot weight routing; the invention relates to adaptive updating based on dynamic drift monitoring and experience playback. According to the method, through multi-dimensional space-time alignment and delay compensation, the data quality and the model training basis are improved; intelligent on-demand allocation of computing resources is realized through dynamic grouping and differentiated reasoning strategies; and through online monitoring and a double-path updating mechanism, the continuous effectiveness of the model in a dynamic environment is ensured.

The invention relates to an extraction and culture method of urine-derived stem cells, and belongs to the field of cell biology and regenerative medicine. The method comprises the following steps: coating a culture plate with a gelatin solution; collecting clean midstream urine of healthy people and adding antibiotics; centrifugally separating the cell precipitate; washing with a phosphate buffer solution; re-suspending the precipitate by using a urine stem cell complete culture medium for primary culture; and after the cells grow to a certain fusion degree, carrying out passage amplification. The urine stem cell complete medium comprises a basic medium, fetal calf serum, epidermal growth factors, platelet-derived growth factors and basic fibroblast growth factors. By adopting the method disclosed by the invention, the urine-derived stem cells can be efficiently and stably separated from urine, and the obtained cells have high multiplication capacity, good stemness maintaining capacity, multidirectional differentiation potential and immunoregulation function, and can provide an ideal seed cell source for treating diseases such as diabetic erectile dysfunction.

The invention relates to the technical field of ferrous metallurgy casting, in particular to a drainage sand removing and recycling method and device. Comprising a mechanical arm, a lifting rotation controller, a controller arm, a sand suction cylinder, a sand conveying pipeline, a sand collecting tank and an injection pump. The lifting and rotating controller is fixedly mounted on the mechanical arm; the controller arm is connected with the lifting and rotating controller, and the lifting and rotating of the controller arm are controlled by the lifting and rotating controller; the sand suction cylinder is connected with the controller arm, the sand suction cylinder is of a U-shaped structure, and one end of the sand suction cylinder is a horn mouth used for sucking drainage sand; one end of the sand conveying pipeline is positioned above the tundish cover sprue gate, and the end part of the sand conveying pipeline is bent downwards to be connected with the other end of the sand suction cylinder; the other end of the sand conveying pipeline is connected with the sand collecting tank; the sand collecting tank is connected with an injection pump pipeline, and the injection pump provides suction power. The ladle filler sand, harmful gas in gaps of the ladle filler sand and a long nozzle and a small part of molten steel in contact with the ladle filler sand in a steel ladle can be discharged out of tundish molten steel and recycled.

The invention discloses a data flow security control method and system based on dynamic trust evaluation, and belongs to the technical field of data security, and the method comprises the steps: obtaining a behavior feature sequence of a data request entity in a fixed time window; constructing a behavior map to identify a typical behavior mode; calculating a risk weight under the context by combining the network topology change, the data sensitivity and the upstream and downstream entity states; inputting the behavior map and the risk weight into a historical trust evolution model to generate a current trust value; matching an access control strategy according to the trust value and the data sensitivity; access operation is executed, and behaviors and results are fed back to the trust model for self-adaptive updating; by introducing a behavior modeling and feedback learning mechanism, dynamic regulation and control and real-time risk response of the data access permission are realized, and the security and intelligence in the cross-domain data circulation process are improved.

The invention provides a container capacity expansion method, system and device, belongs to the technical field of data processing, and aims to achieve container dynamic resource management.The method comprises the steps that running state data of all containers in a target container cluster are collected in real time; constructing a service calling relation graph according to the running state data; wherein the service calling relation graph is a directed acyclic graph, each node in the graph represents a micro-service, each edge in the graph represents a calling relation from the current node to the next node, and the weight of each edge represents service processing time delay; when a preset capacity expansion condition is met, executing a critical path algorithm according to the service calling relation graph, identifying to obtain a critical path, calculating the priority of each node in the critical path, and determining a to-be-expanded container according to the priority; determining an expansion strategy according to the state of the container to be expanded; and according to the capacity expansion strategy, carrying out capacity expansion on the container to be subjected to capacity expansion.

The invention relates to the technical field of unmanned vehicle control, and discloses an unmanned vehicle control algorithm with an emergency obstacle avoidance function, which comprises the following steps: acquiring a transverse deviation between a current attitude of a vehicle and an obstacle avoidance target trajectory, and determining an error flux according to a product of a first derivative of the transverse deviation and a curvature change rate of the obstacle avoidance target trajectory; converting the error flux into a gain adjustment factor based on a preset nonlinear mapping function, and performing real-time weighted weakening on a proportional gain and a differential gain in a steering closed-loop control loop, so that a steering actuator is in a controlled under-gain state in an obstacle avoidance cut-in stage; after the error flux falls back to the physical linear threshold value, feedback gain is recovered according to the energy recovery curve, physical matching of the control rigidity and input sudden change is achieved, the nonlinear saturation risk of an actuator is avoided, and the loop stability of a control system under the extreme working condition is guaranteed.

The invention discloses a multi-modal disambiguation and knowledge graph embedding-based power grid Internet of Things equipment plug and play method and system, and the method comprises the steps: analyzing an ambiguous user instruction through a multi-modal module, and fusing context and sensor data to generate a clear configuration intention; a knowledge graph containing equipment configuration and topological resources is constructed, after the knowledge graph is converted into a vector through embedding, an optimal access scheme and a physical model are matched through machine learning, meanwhile, power grid operation rule verification is conducted on a matching result, and it is ensured that the scheme can be directly executed. According to the method, the problems of inconsistent object model matching, manual configuration migration, weak ambiguous instruction analysis and the like are solved, automatic access of novel switches, photovoltaic equipment and other equipment is realized, and the automation level of the power grid internet of things is improved.

This invention relates to a method for monitoring the microenvironment of the skin around the stoma and optimizing chassis adaptation, comprising: dividing the stoma chassis bonding interface into multiple circumferential detection units, and within each circumferential detection unit, dividing it radially into an inner zone, a middle zone, and an outer zone; collecting two or more of the following parameters from each zone: humidity, pH value, contact pressure, and contact impedance, and marking them as a qualified sealing zone, a weakened sealing zone, or a failed sealing zone according to preset thresholds; determining whether the weakened sealing zone and the failed sealing zone within the same circumferential detection unit extend from the inner zone through the middle zone to the outer zone and form a continuous adjacent pathway; generating local sealing compensation parameters when not formed, and generating opening gap correction parameters, sealing compensation parameters, or bonding area adjustment parameters based on the spatial position of the pathway when formed, thereby implementing differentiated processing for the formation stage and spatial position of the leakage pathway, improving the pertinence and reliability of chassis adaptation optimization.

This application relates to a wireless Jacquard needle block, a combing device, and a warp knitting machine. The wireless Jacquard needle block includes a connector, a control circuit, a drive circuit, and yarn guide needles. The connector includes a first power pin, a second power pin, a ground pin, and a signal pin. The control circuit connects to the first power pin, the ground pin, and the signal pin. The drive circuit connects to the second power pin, the ground pin, the control circuit, and the yarn guide needles. The first power pin is used to connect to a first power source powering the control circuit, the second power pin is used to connect to a second power source powering the drive circuit, and the signal pin is used to connect to a control signal. The control circuit outputs a drive signal based on the control signal, causing the drive circuit to control the operation of the yarn guide needles according to the drive signal. The lengths of both the first and second power pins are shorter than the length of the ground pin, enabling a reliable grounding connection to be established before power is connected when connecting to the backplate, effectively addressing transient overvoltages caused by hot-plugging and improving reliability.

This invention provides a phased array testing device and method for fillet welds in pipe fittings, belonging to the field of non-destructive testing technology for pressure-bearing components. It can at least partially solve the problems in existing technologies such as difficulties in pre-treatment of fillet welds in confined spaces, inconsistencies in the positions of the pre-treatment zone and the testing zone, and unstable coupling in composite curvature regions. The invention includes: a shared motion platform with an installation interface at its front end, a guide component on one side, and a support component on the other side; a pre-treatment head and a testing head are respectively connected to the shared motion platform through the same installation interface. The pre-treatment head includes a grinding assembly and a limiting structure, and the testing head includes a phased array sensing unit and a coupling structure. By sharing the same installation interface and guiding reference, this invention achieves positional consistency between the pre-treatment zone and the testing zone, improving the feasibility and repeatability of in-service testing in confined spaces.

The application provides a large language model-based cross-version source code warning false alarm filtering method and system, relating to the field of software engineering, which comprises: on the basis of static analysis of multiple different version source codes of the same target project to obtain source code warnings, cross-version matching of the source code warnings generated in different versions is performed, the life cycle information of the source code warnings in multiple versions is constructed, and the life cycle information, warning attribute information and source code context information corresponding to the warnings are uniformly organized as structured input and submitted to a large language model for comprehensive analysis and judgment, and the false alarm filtering result and the corresponding confidence score are output, and a risk disposal decision result of the source code warning is further generated, so that stable and reproducible judgment of source code warning false alarm filtering is realized in the cross-version range.

The present application relates to the technical field of soil remediation, and discloses a composite microbial inoculum for activating reverse conversion of oxidized iron in dry land soil and application thereof.The composite microbial inoculum comprises aerobic iron-reducing bacteria and phenazine electron shuttles.The present application mediates the aerobic iron-reducing process of the aerobic iron-reducing bacteria strain through the phenazine electron shuttles, significantly improves the electron transfer efficiency, enhances the iron-reducing capacity, and can efficiently generate high-activity weak-crystalline iron oxide under aerobic conditions, thereby breaking through the limitation of traditional iron reduction relying on anaerobic environment;by promoting the reverse conversion of high-crystalline oxidized iron to weak-crystalline oxidized iron, the mineral interface activity is improved, the fixation capacity for Cd, Pb, As and other multi-metals in dry land soil is significantly enhanced, the biological availability thereof is reduced, the biological toxicity and migration risk thereof are greatly weakened, the remediation process is stable, the risk of secondary pollution is low, and the present application has good application prospect and popularization value in the field of heavy metal contaminated soil remediation.

The application belongs to the technical field of water treatment, and discloses a water plant raw water turbidity fluctuation pretreatment method and system considering mountainous rainstorm confluence process, which can adaptively process the problems of raw water turbidity sudden rise, instantaneous flow impact and water quality rapid fluctuation in the mountainous rainstorm confluence process. The rainstorm confluence state is judged through the inlet water turbidity data, the high-turbidity water at the initial stage of rainstorm can be identified in time, and the system is prevented from being passively operated according to the fixed process. When the inlet water turbidity meets the initial rainstorm confluence condition, the initial high-turbidity raw water is diverted to the initial water collection tank and temporarily settled, which can reduce the direct entry of silt, suspended matter and sundries into the subsequent treatment unit, and reduce the risk of filter screen blockage, sudden increase of sedimentation load and system impact.

The invention relates to the field of data processing, in particular to a data transmission quality optimization method and system for an intelligent ammeter, and the method comprises the steps: obtaining a historical sensitivity sequence and a secret key updating record of each ammeter, and constructing a transmission sensitive vector; clustering the electricity meter groups and endowing sensitive grades to the electricity meter groups; dividing a transmission period into a plurality of time slots, establishing corresponding transmission scheduling groups, and distributing the ammeters to the groups according to the sensitivity levels to form an initial scheduling scheme; collecting network and computing resource states and computing resource pressure at the beginning of the current transmission period; and comparing the resource pressure with double thresholds, taking the sum of the transmission sensitivities of the electric meters in the group as a load according to a comparison result, dynamically adjusting the corresponding sequence of each transmission scheduling group and the transmission time slot according to the load, and issuing a transmission instruction. According to the invention, through a double-layer scheduling mechanism combining historical behavior grading and real-time resource perception, peak shifting transmission of the electricity meter group is realized, and the processing efficiency of the concentrator is remarkably improved.