61results about How to "Reasonable configuration" patented technology

The invention discloses an intelligent emergency pre-examination triage system based on big data, and relates to the technical field of data analysis, the emergency pre-examination triage system comprises a data acquisition module, an evaluation index extraction module, an intelligent analysis module, a triage evaluation module, a triage decision module, a feedback interaction module and a patient information management module, all the modules are connected through electric signals. According to the intelligent emergency treatment pre-examination triage system based on the big data, the comprehensive evaluation model and the triage evaluation coefficient are integrated, and the symptoms of the patient are evaluated quickly and accurately, so that the triage level and the recommended treatment department are quickly determined, the emergency treatment efficiency is remarkably improved, the waiting time of the patient is shortened, and the patient experience is improved. According to the method, medical resources are configured more reasonably, meanwhile, more comprehensive patient portraits can be provided for medical staff according to multi-dimensional information such as medical history and examination results of patients, and making of more accurate diagnosis and treatment decisions is facilitated.

The invention discloses an optical cable routing anti-intrusion method and system, and the method comprises the following steps: laying a sensor network at key nodes along an optical cable, monitoring the data of a surrounding environment in real time, constructing an environment reference model, and integrating the model to a GIS platform, thereby achieving the risk assessment of different regions. Different monitoring frequencies and sensitivities are set for a high-risk area and a low-risk area according to an evaluation result, an anomaly detection module compares real-time signal data with an environment reference model, high-credibility abnormal signals are screened out through self-adaptive threshold adjustment, and when a physical barrier module detects abnormal external force, the physical barrier module sends out the abnormal external force. Triggering the area and the adjacent area to enter a high-frequency monitoring mode to form a dense monitoring area, positioning an intrusion position through a sensor network and a GIS platform, generating a path prediction model, and dynamically adjusting the frequency, sensitivity and alarm threshold value of the monitoring area based on data analysis and GIS geographic information. The adaptability and the resource configuration efficiency of the system in different environments are improved.

The invention relates to the technical field of infectious disease prevention and control, in particular to an infectious disease epidemic situation space-time aggregation analysis method and system, and the method comprises the steps: constructing a case growth trajectory propagation model and an epidemic situation propagation and diffusion model through a data warehouse; predicting an epidemic situation diffusion path and a time-space coverage change graph by using the case growth trajectory propagation model and the epidemic situation propagation and diffusion model; and fusing the predicted epidemic situation diffusion path and the time-space coverage change map with the spatial data of the key public place, and calculating to obtain an epidemic situation influence index of the key public place. By constructing the case growth trajectory propagation model and the epidemic situation propagation and diffusion model, the diffusion path and the space-time coverage change of the epidemic situation can be predicted more accurately, a more scientific basis is provided for prevention and control work, and according to the predicted epidemic situation diffusion condition and the key public occasion epidemic situation influence index, the prediction of the epidemic situation is realized. Medical resources, manpower, materials and the like can be configured more reasonably, and the prevention and control efficiency is improved.

The invention discloses a power distribution room remote monitoring and fire-fighting inspection system based on a cloud platform, and relates to the technical field of fire-fighting safety monitoring. The system comprises a remote monitoring module, a fire safety monitoring module and an inspection task scheduling module. And the remote monitoring module acquires and stores the running state data of the power distribution equipment in real time to realize continuous monitoring. The fire safety monitoring module obtains environment data of a power distribution room through an environment sensing unit, establishes a fire prediction model through a random forest algorithm in combination with an equipment operation state, and generates a fire prediction index. And the early warning unit simulates a fire spreading process based on the fire prediction index and predicts a fire spreading direction and an influence area. And the inspection task scheduling module intelligently distributes inspection tasks and adjusts task execution strategies in real time according to the fire risk assessment result in combination with the geographic position and the working load of the inspection personnel. The fire risk is accurately predicted and the inspection task is dynamically scheduled, so that the fire-fighting potential safety hazard of the power distribution room can be timely found and eliminated.

The invention discloses a logistics remote control method and system based on virtual reality, relates to the technical field of logistics transportation management, and reduces the possibility of human errors through automatic encasement scheme generation and path planning. The system automatically calculates and generates a boxing scheme according to goods characteristics and loading constraints, and the risk of manual operation errors is avoided. And if the efficiency evaluation index is higher than 0.8, the system confirms that the current scheme is the optimal scheme. The trajectory planning module combines the anchoring position of the target ship and the container yard position, generates a plurality of paths by using a dynamic path planning method, and calculates a trajectory coefficient and transportation time. The path planning method based on real-time data can flexibly cope with sudden changes in the transportation process, the transportation time is shortened, and it is ensured that tasks are completed in time. The dynamic path planning module can adjust the path and the position of a hoisting point in real time, and collision or other potential safety hazards possibly occurring in the operation process are avoided.

The invention discloses a ship control system fault scheduling method, system and device and a storage medium, and relates to the technical field of ship control, and the method comprises the steps: dividing a ship control system into a plurality of sub-control systems, and determining a software configuration table and a hardware configuration table of each sub-control system according to a ship cycle task; constructing a software fault tree minimum cut set and a hardware fault tree minimum cut set according to historical full-cycle data of the ship control system, the software configuration table and the hardware configuration table; calculating the fault occurrence probability of each sub-control system at the current moment based on the software fault tree minimum cut set and the hardware fault tree minimum cut set; and respectively virtualizing software and hardware of the ship control system, and carrying out flexible recombination scheduling when the fault occurrence probability exceeds a preset probability threshold. According to the method, the sub-control systems are divided, potential faults of each sub-system are accurately positioned and analyzed, and flexible recombination scheduling can quickly respond to and process the faults without interrupting system operation.

The invention discloses an optimal configuration method and system for new energy power generation equipment, equipment and a medium, and the method comprises the steps: obtaining basic parameters of a radiation type power distribution network, carrying out the power flow analysis of the radiation type power distribution network based on the basic parameters, and obtaining the power data and power loss data of each node in the radiation type power distribution network; determining the stability and the power loss sum of the radiation type power distribution network according to the power data and the power loss data, and determining the gas emission amount of the radiation type power distribution network according to the release power of new energy power generation equipment; constructing a multi-objective function of the radiation type power distribution network based on the stability, the power loss and the gas emission amount; and obtaining a configuration constraint condition of the new energy power generation equipment, and solving the multi-objective function through a preset optimization algorithm to obtain an optimal configuration scheme of the new energy power generation equipment so as to reduce construction and operation costs of a power distribution network and improve economic benefits.

The invention discloses an array server configuration method suitable for AIPC and a server, and relates to the field of server configuration.The method comprises the steps that calculation demand characteristics of a target application scene are obtained, and the calculation demand characteristics comprise the single-machine calculation power demand, the network interconnection demand and the storage capacity demand; calculating the number of target computing power modules according to the single-machine computing power demand, and calculating the number of target storage modules according to the storage capacity demand; constructing a server topology model according to the calculation demand characteristics, and calculating an estimated flow of data transmission between modules in the server topology model according to the server topology model; according to the number of the target computing power modules, the number of the target storage modules and the estimated flow, a server layout mode comprising the computing power modules, the storage modules and the network switching module is determined in a server topology model, and by implementing the method, the resource allocation balance of the array server can be improved.

The present application discloses a media data processing method, device and equipment, the method comprising: first obtaining the media delivery data of the target clue advertisement including the basic information data, planned delivery information data and historical delivery information data of the target advertiser, then performing feature extraction on these data to obtain the feature vector corresponding to the target clue advertisement, and determining the constraint feature vector with a positive or negative correlation with the corresponding conversion quantity; then inputting the feature vector and the constraint feature vector corresponding to the target clue advertisement into a pre-built conversion quantity estimation model to estimate the conversion quantity of the target clue advertisement. In this way, by using the pre-built conversion quantity estimation model to automatically estimate the feature vector corresponding to the media delivery data of the target clue advertisement, effective processing such as automatic estimation can be performed, which can facilitate users to perceive the delivery effect in advance, and adjust the delivery resource configuration more reasonably accordingly, thereby optimizing the delivery effect and improving the user's delivery experience.

The invention relates to a method for counting the number of hospital daytime outpatient service visitors based on mobile phone signaling, comprising the following steps: (1) dividing a target area according to urban functional areas, where office areas and industrial parks are collectively called working areas; (2) finding out a mobile phone user of which the working place or the residence place is not located in a medical area by using a mobile phone signaling, and naming the mobile phone user as a first user; (3) calculating the movement speed and the staying duration of the first user based on the mobile phone signaling, and if the first user meets a preset condition, considering that the first user is in a staying state in a medical area, and naming the first user as a second user for short; and (4) when the staying time period of the second user is the working time of the hospital daytime outpatient service and the staying time length meets a preset staying time length range, identifying that the second user is a patient seeing the daytime outpatient service. According to the invention, the number of daily outpatient service patients in each region can be accurately counted, and the problem that official published or field survey data can only cover part of hospitals is effectively overcome.

The invention relates to a distributed photovoltaic energy storage system optimization configuration method and system, the system is divided into a plurality of clusters, and comprehensive performance indexes of the clusters are established by using the modularity and the active balance degree of the clusters; optimizing the comprehensive performance indexes by adopting an improved genetic algorithm to determine a cluster division result; a double-layer model is established, an outer layer model takes the clusters as minimum units, and optimal configuration is carried out on cluster access photovoltaic total capacity, energy storage total capacity and energy storage time sequence output by taking the minimum annual comprehensive cost of carbon emission of the power distribution network as a target according to load time sequence output in each cluster; the inner-layer model takes each node in the cluster as a minimum unit, and according to an optimization configuration result of the outer-layer model, the photovoltaic access capacity of each node and the access position of energy storage are optimized and configured by taking the minimum deviation value of a node voltage comprehensive expected value in the cluster and the minimum comprehensive operation risk index as targets. According to the method, the stability, the economy and the new energy utilization rate of the system are considered, and the optimal configuration of the distributed photovoltaic energy storage system in the optimal state is comprehensively achieved.

The invention discloses a rescue equipment configuration method and system of an emergency rescue vehicle, and relates to the field of disaster emergency rescue. The method is applied to an emergency rescue platform and comprises the following steps: acquiring basic information of an emergency event; carrying out keyword extraction and standardization processing on the basic information of the emergency event to obtain a plurality of event attributes of the emergency event; inputting the plurality of event attributes into a preset emergency knowledge graph to obtain a plurality of associated attributes; generating a rescue equipment table of a plurality of associated attributes and a plurality of event attributes; and integrating the plurality of rescue equipment tables to obtain a rescue equipment configuration scheme of the emergency. By implementing the technical scheme provided by the invention, the problem that an existing rescue equipment list cannot provide a reasonable rescue equipment configuration scheme for a novel combined event is solved.

The invention relates to the technical field of transaction optimization, in particular to an energy transaction optimization management method based on a privacy protection block chain, and the method comprises the following steps: collecting data of energy transaction participants and transaction records, encrypting the transaction records through employing a digital signature, checking the safety of energy transaction information, and generating an encrypted transaction data set. According to the invention, the delay of information transmission is reduced through the operation of capturing and updating the block chain account book in real time, so that the market response is more agile, the method is very important for the rapidly changing energy market, and the classification and risk assessment of transactions not only help to identify abnormal transactions, but also further enhance the ability to prevent potential fraud activities, thereby improving the safety of the system. By optimizing the transaction verification rule and the execution path, the energy transaction processing efficiency is improved, the energy distribution is optimized, the resource allocation is more reasonable, and the market competitiveness and sustainability are improved.

The invention provides an earthwork backfilling amount monitoring method and system based on an unmanned aerial vehicle. The method comprises the steps that image information collected by a backfilling area shot by the unmanned aerial vehicle is acquired; generating a live-action three-dimensional model according to the image information; obtaining a contour line of a structure in the backfill area, and removing the structure in the live-action three-dimensional model according to the contour line of the structure; according to the target elevation of the plurality of grids in the live-action three-dimensional model, calculating the volume of earthwork to be backfilled in the backfilling area; calculating the accumulated backfilled earthwork volume of the backfilled area according to the current actual elevation of the plurality of grids in the real scene three-dimensional model; and according to the earth volume to be backfilled, the backfilled earth volume is accumulated, and earth volume backfilling work is monitored. According to the method, the precision and efficiency of earthwork volume backfilling work are improved, the dynamic monitoring and risk management capability is enhanced, it is ensured that a project is completed on time with high quality, and the scientificity and controllability of management are remarkably improved.

The invention discloses a method and a device for setting interface calling timeout time, and relates to the technical field of computers. According to one specific embodiment, the method comprises the steps that in response to a request for setting interface calling timeout, interface calling related information of all registered services is obtained from a service registration center, and the interface calling related information comprises interface calling statistical data and a timeout configuration strategy; calculating target timeout time of each service according to the interface calling statistical data of each service and a timeout time configuration strategy; and setting the interface calling timeout time of each service registered in the service registration center according to the target timeout time of each service. According to the embodiment, reasonable and accurate calculation and simple and convenient configuration of the interface calling timeout time are realized, so that the service availability is ensured, and the stability of a service system is improved.

This invention discloses a method, system, equipment, and storage medium for configuring the capacity of a static synchronous compensator (STATCOM) in a SLCC valve hall, belonging to the field of high-voltage direct current (HVDC) transmission technology. The method includes: analyzing the LCC commutation process based on an electromagnetic transient model of the commutation circuit using LCC capacitor reactive power compensation to determine a first analytical relationship between the amplitude of the power frequency component of the first commutation current and the capacitor reactive power compensation capacity; determining an electromagnetic transient model of the SLCC commutation circuit operating with STATCOM fundamental reactive power compensation and harmonic elimination functions based on the SLCC topology; analyzing the SLCC commutation process based on the electromagnetic transient model of the SLCC commutation circuit to determine a second analytical relationship between the amplitude of the power frequency component of the second commutation current and the fundamental reactive power compensation capacity and harmonic reactive power compensation capacity; and determining the STATCOM configuration capacity based on the first and second analytical relationships and according to capacity equivalence constraints. The technical solution provided by this invention can ensure the safety of SLCC commutation and harmonic compensation capabilities while reducing the redundancy of STATCOM capacity configuration.

The invention relates to the technical field of medical systems, in particular to a cardiovascular operation nursing intelligent shift change system and an implementation method thereof, comprising a receiving end, an information sending end, an output end, an information acquisition end, an electronic signature end and a management end; the identity information and the state of a patient are confirmed through the output end, the two-dimensional code generator, the second recognition device and the first recognition device, so that the first patient information and the second patient information are confirmed, and the behaviors that the first patient information and the second patient information are manually filled in to be inconsistent and manually modified when a doctor receives the patient are avoided; the output end confirms the information of the medical instruments, omission of the instruments is avoided, omission of the instruments in an operation is avoided, influence on the operation quality is avoided, and economic loss is avoided; the state data of the second patient is acquired through the information acquisition end, so that the second patient is confirmed and matched with the actual illness state, the state of the patient during receiving is ensured, and the safety of the patient is ensured.

The application discloses a kind of man-machine collaborative multi-modal data intelligent labeling and quality checking method, it is related to man-machine collaborative technical field.The method first obtains at least containing two modalities of original data of image, text, audio, generates multi-modal joint data sample after pre-processing and modal alignment;Input pre-trained multi-modal AI pre-labeling model generates pre-labeling result with confidence;Through cross-modal consistency check calculation consistency score, sample is divided into high, medium, low confidence three categories;High confidence sample is directly adopted and enters the sampling pool, and medium and low confidence sample is based on labeling personnel ability portrait and AI model dynamic capability evaluation and carries out intelligent task distribution.The application effectively solves the problem that efficiency and quality are difficult to balance in multi-modal data labeling, significantly improves labeling accuracy and automation rate, reduces labeling cost, and can meet the construction demand of large-scale high-quality multi-modal data set.

The present invention discloses a production sequence planning method for a zero-carbon zone in an agricultural and pastoral park based on multi-energy complementarity, including: establishing an energy flow-carbon flow analysis model for calculating energy consumption and carbon emissions; determining the zero-carbon optimal transformation plan in combination with the characteristics of biomass green electricity and photovoltaic green electricity in the agricultural and pastoral park; under the condition of zero-carbon operation, establishing a target optimization model for the production sequence of the agricultural and pastoral zero-carbon zone with the energy efficiency, carbon emissions and electricity consumption of the agricultural and pastoral park as the target; solving to obtain the optimal production sequence planning, and configuring the generation sequence of biomass green electricity and photovoltaic green electricity in the agricultural and pastoral park and the electricity consumption sequence of each equipment in the agricultural and pastoral park. The present invention can determine the zero-carbon optimal transformation plan by quantitatively analyzing the energy consumption and carbon emissions of the agricultural and pastoral park energy, and at the same time reasonably configure the generation sequence of biomass green electricity and photovoltaic green electricity in the agricultural and pastoral park and the electricity consumption sequence of each equipment in the agricultural and pastoral park, thereby improving the energy resource utilization efficiency and economic benefits of the agricultural and pastoral park.

This invention discloses an economically viable intelligent photovoltaic system, comprising: a system design module for designing and optimizing the photovoltaic system; an equipment and data traceability module for real-time monitoring and data collection, forming an information network based on the correlation of the collected data; an inspection and scheduling module for automatically planning and scheduling inspection tasks based on real-time monitoring and collected data; a fault early warning module for analyzing equipment anomalies based on real-time monitoring and collected data and providing early warnings for such anomalies; and a fault self-healing module for rapidly repairing faults detected by the fault early warning module. This achieves an intelligent inspection, early warning, and self-healing mechanism, reducing costs and improving economic efficiency.

The embodiments of the present specification provide a method and device for displaying database management, wherein the method for displaying database management includes: displaying a graphical module representing a first information of a database and a graphical module representing a second information of the database on a database management page; displaying a mapping relationship between the graphical module of the first information of the database and the graphical module of the second information of the database having a mapping relationship through graphical elements.

The present application relates to the technical field of vehicle configuration recommendation, and discloses a truck configuration intelligent recommendation method, system, device and medium. The method comprises the following steps: obtaining daily operation conditions and corresponding static configuration data of a plurality of sold trucks; extracting the internal relationship between different configuration parameter combinations in the static configuration data of each sold truck and the mapping relationship between the daily operation conditions and truck performance indexes; determining the rationality evaluation score of different configuration parameter combinations according to the internal relationship between the different configuration parameter combinations, and obtaining the matching relationship between the daily operation conditions of each sold truck and the corresponding static configuration data in combination with the mapping relationship between the daily operation conditions and the truck performance indexes; and constructing a configuration condition matching model through the matching relationship between the daily operation conditions and the corresponding static configuration data of all sold trucks, so as to perform truck configuration intelligent recommendation, and the recommendation accuracy and efficiency are both higher.

The present invention discloses a method and device for rationally allocating multiple water sources in a region driven by bilateral classified water prices, which belongs to the field of water resources management and solves the problem of insufficient driving force for optimal use of water and sewage recycling in the joint configuration of multiple water sources in the region. Disclosed is a method and device for rationally allocating multiple water sources in a region driven by bilateral classified water prices. The method adopts the full-cost water price theory to establish a classified water price model on the supply side and demand side based on the regional comprehensive water price; the cooperative game method is used to solve the classified water price model and the regional multi-water source configuration model driven by the established expected classified water prices on the supply side and demand side, respectively, to obtain the regional multi-water source configuration result, which includes the water resources configuration strategy corresponding to the expected classified water prices on the supply side and demand side. The invention solves the problem of insufficient driving force for optimal use of water and sewage recycling in the joint configuration of multiple water sources and multiple users in the region.

The invention discloses a method and a system for configuring a differentiated reactive power compensation device accessed by a large number of cables. The method comprises the following steps of: determining basic information and incoming and outgoing cable parameters of a transformer substation; calculating a power factor during peak load and a power factor during valley load of the transformer substation, and analyzing a reactive power compensation device needing to be configured; the method comprises the following steps: calculating a capacitive reactive power compensation value and an inductive reactive power compensation value required by a transformer substation through iterative calculation, calculating compensated power factors during peak load and valley load, recording the corresponding capacitive reactive power compensation value and inductive reactive power compensation value before and after the compensated power factors reach the standard, and carrying out interpolation calculation on the values, and obtaining the reactive configuration capacity of the reactive compensation device needing to be configured. According to the technical scheme, the influence of access of a large number of cables on the reactive power of the power distribution network under the novel power system can be considered, so that the capacity of the reactive power compensation device is more reasonably configured, and stable and economical operation of the urban novel power system is supported.

The present invention relates to the field of data communication technology, and in particular to a communication method based on a multi-operating system, the method comprising determining the data type of data to be transmitted and the sensitive type and sensitivity of each data type, determining the data sensitivity equivalent of each data packet, dividing the data packet into data transmission packets, determining the number of transmission channel occupancy of each data transmission packet according to the data sensitivity equivalent of the data packet to determine the occupied transmission channel, determining the backup lower limit and transmission lower limit of each data packet according to the associated type to determine the to-be-transmitted packets and partial transmission packets of the corresponding data packet, determining the actual transmission packets of each data transmission packet, and performing data communication according to the actual transmission packets of each data transmission packet and the occupied transmission channel. The present invention reduces resource waste, improves the overall responsiveness and efficiency of the system, and provides a basis for cross-system communication.

The invention relates to the technical field of agricultural analysis, in particular to an agricultural product safety early warning method based on artificial intelligence, and the method comprises the steps: obtaining a free-ranging range and a historical death place of a target organism, and determining a corresponding target reference range and a target monitoring range according to a target position, determining a position characterization state and a soil characterization state of each target position so as to determine a monitoring type of the target position, determining the number of monitoring points corresponding to a target monitoring range according to the monitoring type, and determining a plurality of common monitoring ranges, and according to the soil acidity and alkalinity and the soil heavy metal content of each monitoring range, determining whether to send out a safety early warning signal, and according to the number of times of sending out the safety early warning signal of each monitoring range, determining a monitoring adjustment strategy of the corresponding monitoring range. According to the invention, the efficiency and accuracy of agricultural product safety management are improved, potential safety risks can be timely found and dealt with, and the quality of agricultural products is guaranteed.

The invention relates to the technical field of power system operation and control, and discloses a multi-energy power system energy storage coordinated scheduling method, equipment and a medium, and the method comprises the steps: building a dynamic characteristic model reflecting the aging and loss evolution of an energy storage unit, and expressing the dynamic characteristic model as a dynamic function of historical operation cumulant, current charge state and external environment parameters; performing fusion analysis on the historical meteorological sequence, the load sequence and the carbon price sequence, and outputting interval prediction results of new energy output, system load and carbon price in a future scheduling time period; according to the interval prediction result, dynamically calculating a trigger index representing the uncertainty of the system, and according to the trigger index, executing optimal scheduling; and updating the state of the energy storage unit according to the actual operation data, and correcting the dynamic characteristic model. According to the invention, uncertainty can be intelligently dealt with, so that the new energy consumption capability is significantly improved and the overall operation cost is reduced.

The invention relates to the technical field of standard address intelligent diagnosis, and particularly provides an intelligent diagnosis method and device, and the method comprises the following steps: S1, building and managing a standard address library, carrying out the management of professional resource addresses, and building a 11-level standard address library and 11-level field attributes; s2, a rule is preset, and atomic operation on a specific logic unit or a logic unit is completed; s3, preprocessing before intelligent diagnosis: establishing a feature data model according to standard address element features, performing model training and model evaluation according to the features and address tags, continuously adjusting and optimizing the model according to training and evaluation results, and performing intelligent positioning and classification on the problems of information loss and non-standard input of Chinese addresses according to the optimized model; s4, performing intelligent diagnosis on the standard address; and S5, storing the standard address after intelligent diagnosis. Compared with the prior art, the method has the advantages that the problems of non-standardization, repetition, errors and the like in the address data are effectively solved, and the quality and availability of the address data are remarkably improved.

The present invention provides a sewage treatment data optimization method and system based on cloud computing, which relates to the field of data processing technology. The method includes: receiving real-time key information collected by monitoring equipment in real time, including water quality indicators, equipment operating parameters, and energy consumption data, and pre-processing the key information to obtain a processed data set; constructing a cloud database based on the processed data set, and using the cloud database to perform data analysis, including trend prediction and anomaly detection, to obtain analysis results; constructing a sewage treatment data optimization model based on the analysis results, and inputting water quality standards, equipment operating efficiency, and energy consumption cost parameters into the sewage treatment data optimization model to generate an optimization plan. The present invention collects and analyzes key information on sewage treatment in real time, constructs and optimizes the data model, realizes intelligent adjustment and optimization of the sewage treatment process, improves water quality, reduces energy consumption, and improves equipment operating efficiency and overall treatment effect.

The present application relates to the field of intelligent water management, and particularly relates to a water abnormal event early warning system based on data collection and analysis, which forms time synchronization time series data through multi-source data collection, calculates dynamic risk scores, identifies abnormal events and outputs event type confidence, generates propagation prediction results in combination with pipe network topology, executes dynamic control measures, and receives feedback to update the state through the alarm closed loop, realizes real-time early warning and accurate disposal of water abnormal events, realizes early identification and accurate attribution of short-time negative pressure backflow and high-toxicity small-volume pollution groups through multi-source time synchronization and dynamic risk assessment, gives the influence range and time window in combination with topological propagation prediction, improves the disposal directionality, and updates the state relying on the alarm-control-feedback closed loop, self-optimizes the threshold and strategy, and improves the emergency efficiency.