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77results about How to "Increase risk resistance" patented technology

Multi-modal large model construction and operation method and system for reservoir dam safety

The invention provides a multi-modal large model construction and operation method and system for reservoir dam safety. The method comprises the following steps: constructing a training set, wherein the training set comprises a single sample; multi-modal data as model input: sensor data arranged on the dam, historical hidden danger records, engineering technology documents formed in various stages of planning, design, construction and operation of the dam, information resources related to dam safety, geometric and material information of the BIM model, timestamps and spatial position information; the probability value of occurrence of the hidden danger event serving as the training label is obtained; the training set is adopted to train a multi-mode pre-training model based on a Transform framework; performing real-time prediction and early warning on potential safety hazards of the dam; and calculating the actual influence degree, the comprehensive risk score, the dynamically set early warning threshold and the emergency measure suggestion of the hidden danger event according to the probability value of whether the hidden danger event occurs or not output by the model. The scientificity and effectiveness of dam safety monitoring are comprehensively improved.
Owner:CHANGJIANG SPATIAL INFORMATION TECH ENG CO LTD (WUHAN) +1

Financial integrated management system based on intellectualization

The invention belongs to the technical field of enterprise financial management, and particularly relates to an intellectualization-based financial integrated management system, which constructs a reference budget reasonable interval of each auditing project through reference project comparison and market prediction change of each auditing project so as to evaluate the rationality of a planned budget amount uploaded by each auditing project principal, thereby improving the management efficiency. After it is determined that the planned budget amount of each auditing project is reasonable, according to the priority coefficient and the risk level coefficient of each auditing project, arranging a corresponding budget payment sequence, and on the basis of the financial funds of the target enterprise in the future preset period, making a project budget scheme of the target enterprise in the future preset period. And the budget execution condition of each auditing project at each accounting time point is collected, the regulation and control requirements of the project budget scheme of the target enterprise in the future preset period are judged, and corresponding dynamic regulation and control are performed, so that effective cooperation of enterprise financial budget and accounting is realized, and the financial decision quality and the operation benefit of the enterprise are further guaranteed.
Owner:GUIZHOU BIT SOFTWARE CO LTD

Agrometeorological disaster early warning and emergency response system

The invention discloses an early warning and emergency response system for agrometeorological disasters, and relates to the technical field of intelligent agriculture, and the system comprises the following components: a meteorological data acquisition and early warning module, a soil humidity and rainfall monitoring module, an automatic irrigation and drainage control module, and a remote monitoring and management platform. By accurately monitoring meteorological data and soil humidity in real time and combining an early warning algorithm, agricultural meteorological disasters such as drought and flood can be predicted and responded in advance, before the disasters occur, the system can automatically adjust an irrigation strategy to ensure that crops obtain a proper amount of water, and when the disasters occur, the system can quickly start a drainage pump to prevent water accumulation in farmland, so that the system is safe and reliable. Therefore, crops are effectively protected from being affected by extreme weather, the risk resistance of agricultural production is remarkably improved through an automatic emergency response mechanism, and yield loss caused by disasters is reduced.
Owner:SHANDONG ACADEMY OF AGRICULTURAL SCIENCES

Power grid frequency modulation cooperative control method giving consideration to tie line section

The invention provides a power grid frequency modulation cooperative control method considering a tie line section, and relates to the field of power system automatic scheduling, and the method comprises the steps: obtaining a load characteristic parameter, a transmission capacity parameter and a stability margin parameter of a section spanned by a tie line; solving the multi-objective optimization model by adopting an improved particle swarm optimization algorithm to obtain an optimal tie line electric power distribution curve meeting various constraint conditions; discretizing the optimal tie line electric power distribution curve, and converting the discretized optimal tie line electric power distribution curve into an active power instruction value of a tie line control system; and the tie line control system adjusts the electric power of the tie line in real time according to the active power instruction value. According to the invention, the reasonable distribution of the electric power of the tie line is realized, the frequency modulation demand and transmission capacity limitation of each section are balanced, and the safety and stability of power grid operation are improved. Through a differential scheduling strategy and a real-time optimization mechanism, load fluctuation can be effectively coped with, and safe and stable operation of a power grid is guaranteed.
Owner:ECONOMIC TECH RES INST STATE GRID QIANGHAI ELECTRIC POWER +3

Bridge structure intelligent damage identification method based on physical information neural network

The invention belongs to the technical field of bridge damage identification, and relates to a bridge structure intelligent damage identification method based on a physical information neural network, which comprises the following steps: 1, acquiring spatial relation data of a bridge structure, 2, acquiring real-time data, 3, preprocessing the data after the data is acquired, 4, performing hyper-parameter adjustment, 5, constructing a model, 6, carrying out model training and evaluation; 7, carrying out early warning and repairing scheme matching; the health state of the bridge can be monitored in real time, data support can be provided for future maintenance and repair, the safety of the bridge is improved, and the service life of the bridge is prolonged; therefore, a novel efficient tool is provided for bridge health monitoring and damage assessment through a unique data and physical driving method, an efficient and intelligent bridge monitoring and assessment system is constructed, and the safety and maintenance efficiency of the bridge are improved.
Owner:陕西华山路桥集团有限公司 +1

Method and system for planning and layout of energy storage scale and structure

The invention relates to the technical field of electric energy storage, in particular to a planning and layout method and system for an energy storage scale and structure. The method comprises the following steps: acquiring original historical electrical load data; performing multi-scale load characteristic analysis according to the original historical electrical load data to generate load characteristic vector data; performing enterprise load mode matching on the load characteristic vector data to generate enterprise load fluctuation mode data; carrying out load demand expected value calculation on the enterprise load fluctuation mode data to generate multi-scene load demand prediction data; performing optimal energy storage scale adaptation interval processing according to the multi-scenario load demand prediction data to obtain refined energy storage scale interval data; and performing energy storage unit planning layout optimization according to the refined energy storage scale interval data to obtain optimal energy storage structure layout scheme data. According to the method, the optimal energy storage scale configuration is determined through multi-scale power load characteristic dynamic analysis, and the refined layout of the energy storage structure is realized.
Owner:SHENZHEN HONCELL ENERGY CO LTD

Novel distribution network multi-virtual power plant distributed resource aggregation and optimization operation method

The invention discloses a novel distribution network multi-virtual power plant distributed resource aggregation and optimization operation method. The method comprises the following steps: 1, solving a virtual power plant feasible region based on a vertex enumeration method; 2, realizing multi-virtual power plant cooperative operation optimization based on a binary consistency algorithm; 3, based on the virtual power plant feasible region solving method based on the vertex enumeration method and the multi-virtual power plant cooperative operation optimization method based on the binary consistency algorithm, constructing a resource aggregation and aggregate optimization operation framework process; in the process, firstly, distributed resources are aggregated through a vertex enumeration method to obtain a virtual power plant feasible region; and carrying out collaborative operation optimization on the multiple virtual power plants by utilizing a binary consistency algorithm. By means of the method, efficient aggregation and optimized operation of distributed resources are achieved, the operation efficiency and economical efficiency of the power distribution network are improved, and the method has important economic and social benefits.
Owner:LIAONING DONGKE ELECTRIC POWER +1

Distributed photovoltaic grid management method and system

The invention discloses a distributed photovoltaic grid management method and system, and relates to the technical field of distributed photovoltaics, a distributed photovoltaic efficiency analysis module of the system monitors and evaluates the power utilization efficiency Psys of the whole system in real time by constructing a power efficiency formula, and compares the power utilization efficiency Psys with a preset efficiency threshold value X. When the operation efficiency of the system is lower than a set threshold value, the intelligent scheduling and energy distribution module starts an optimization strategy according to an electric power balance scheduling analysis result, redistributes electric power supply, preferentially meets a high-demand area or an area with insufficient energy storage, and ensures electric power supply and demand balance. According to the system, through an intelligent scheduling algorithm, power distribution is flexibly adjusted based on the priority factor of each micro-grid unit, and the operation efficiency of the system is improved. An intelligent feedback and iterative scheduling mechanism enables the system to still maintain efficient operation under continuously changing load and power generation conditions, power loss is reduced, resource waste is reduced, and the overall power utilization rate is improved.
Owner:STATE GRID JIANGSU ELECTRIC POWER CO LTD YANGZHONG POWER SUPPLY BRANCH +1

Intelligent charging management system and method based on edge computing

The invention discloses an intelligent charging management system and method based on edge computing, and relates to the field of edge computation.The method comprises the steps that 1, an edge computing node module is arranged, the edge computing node module comprises a data acquisition unit and a data processing unit, data of a charging pile is acquired based on the data acquisition unit and the data processing unit, and the data of the charging pile is acquired; by introducing an edge computing node, computing and control part data of the charging pile are moved to the local; step 2, the edge computing node module uploads the collected data to a central control platform; 3, the central control platform receives and processes the data uploaded by the edge computing node, and based on the reservation time of the user, the current power grid load and the real-time electricity price, cyclic charging optimization scheduling is carried out in a cyclic iteration mode; and 4, after the edge computing node detects that charging is completed or the target electric quantity set by the user is reached, charging is automatically cut off, a charging record is uploaded to the central control platform, and long-term data analysis and strategy optimization are carried out.
Owner:SMART WORKSHOP INNOVATION TECH (DONGTAI) CO LTD

Engineering cost risk control management system

The invention discloses a project cost risk control management system, which relates to the technical field of risk management and control and comprises a potential risk analysis module, a risk assessment unit, a risk probability assessment module, a risk influence assessment module, a risk level assessment module, a risk response module, an early warning terminal and a database. By integrating multi-dimensional data and historical project data and combining industry risk indexes and supplier stability scores, the scientificity and objectivity of evaluation are enhanced, a quantitative basis is provided for risk management decision, and in risk influence evaluation, through risk simulation and multi-index analysis, the risk influence evaluation efficiency is improved. According to the method, the influence of potential risks on project cost, construction period and technical performance is comprehensively evaluated, comprehensive data support is provided for making risk coping strategies, and in the risk level evaluation process, through comprehensive analysis of risk probabilities and influences, scientific risk level division and priority ranking are facilitated.
Owner:FENGXINGTIANXIA (JIANGSU) SOFTWARE TECHNOLOGY CO LTD

Maize variety waterlogging tolerance evaluation method and system based on data analysis

The invention discloses a corn variety waterlogging tolerance evaluation method and system based on data analysis, and relates to the technical field of corn variety waterlogging tolerance evaluation.The corn variety waterlogging tolerance evaluation method comprises the following steps that according to existing monitoring requirements, an initial monitoring frequency is set for corn leaf information collection; after the initial monitoring frequency is set, regularly collecting corn leaf information according to the initial monitoring frequency; and along with the acquisition of the corn leaf data, comparing the currently acquired corn leaf data with the corn leaf data acquired last time. According to the method, the change trend of the corn leaves is accurately predicted through the pre-trained convolutional neural network, the monitoring frequency is automatically adjusted, the accuracy and the real-time performance of waterlogging tolerance evaluation are remarkably improved, the dynamic adjustment mechanism optimizes resource utilization, invalid high-frequency collection is avoided, the monitoring efficiency is improved, meanwhile, quick response is achieved in an emergent environment, and the method is suitable for popularization and application. The agricultural production stability is ensured, the anti-risk capability of corn is enhanced, and the stability of crop yield is improved.
Owner:NINGXIA INST OF AGRI PROD QUALITY STANDARDS & TESTING TECH (NINGXIA AGRI PROD QUALITY MONITORING CENT)

Wind, light, fire and nuclear storage integrated scheduling architecture based on complex and uncertain environment of cold region power grid

The invention provides a wind, light, fire and nuclear storage integrated scheduling architecture based on a complex and uncertain environment of a cold region power grid, and relates to the technical field of power grid system processing, the architecture comprises a data acquisition and monitoring layer, an analysis and decision layer, a control execution layer and an evaluation and optimization layer, the anti-freezing and deicing technology of the power transmission line effectively improves the reliability of equipment in severe environments such as low temperature and ice and snow, guarantees the stability of power transmission of a power grid, reduces equipment faults and power failure accidents caused by cold environment factors, enhances the anti-risk capability of the whole power grid, and improves the safety of the whole power grid. According to the method, characteristics and complementary relations of multiple energy sources of wind, light, fire and nuclear storage are comprehensively considered, peak regulation and frequency modulation analysis and decision making and integrated regulation and control analysis and decision making are carried out, and by constructing a reasonable operation scene and a scheduling model, optimal configuration and cooperative operation of power generation resources can be achieved under different operation conditions.
Owner:PANJIN POWER SUPPLY COMPANY OF STATE GRID LIAONING ELECTRIC POWER SUPPLY +1

Farmland water level environment monitoring and alarming device

The invention relates to the technical field of water level, and particularly discloses a farmland water level environment monitoring and alarming device, which comprises a water level acquisition module for acquiring a water level value in real time, comparing a water level range value, sending an early warning prompt when the range is exceeded, and an early warning analysis module for obtaining a water level early warning value through numerical calculation based on the water level value, an alarm signal is sent if the water level early-warning value exceeds a threshold value, the water level early-warning value needs to be predicted and analyzed if the water level early-warning value does not exceed the threshold value, a trend prediction module carries out linear regression on the multi-cycle water level early-warning value, water level over-limit time is obtained through calculation, an AI analysis module combines historical water level values, the early-warning value, rainfall and farmland displacement, and the water level early-warning value is obtained. The device can comprehensively monitor the water level of the farmland, early warns and predicts the change of the water level in time, and provides an effective decision basis for the management of the water level of the farmland.
Owner:JIANGSU COCON TECH +1

AEM water electrolysis hydrogen production system and control method

PendingCN119243191AGuaranteed service lifeReduced cold start timeCellsElectrolytic agentDc current
The invention relates to an AEM water electrolysis hydrogen production system and a control method, and the system comprises an electrolytic cell module, a water tank module, a power supply module, a circulation module, a heat balance module, a purging module, a control module, a communication module and a display module. The functions of water replenishing of the water tank, direct current setting of the electrolytic bath, electrolyte circulation, electrolyte heat balance, startup purging, shutdown purging and the like are realized; the cold start time is shortened by controlling the technological process, and the hydrogen production efficiency is effectively improved; the service life of the electrolytic bath is effectively guaranteed by controlling the constant current output of the controllable direct-current power supply; safety production is effectively guaranteed through safety measures such as automatic purging of a triggering system; and the anti-risk capability is effectively improved by monitoring the running state of the equipment in real time and giving an alarm prompt.
Owner:SHENZHEN WENSHI HYDROGEN ENERGY TECH CO LTD

High-stability lithium battery box

The utility model belongs to the technical field of lithium batteries, and particularly relates to a high-stability lithium battery box. The problems that in a battery box in the prior art, lithium batteries are prone to being separated and damaged, and replacement and maintenance are inconvenient are solved. Comprising an outer box body, an inner box body is arranged in the outer box body, anti-falling assemblies are installed on the two side walls of the upper portion of the inner box body, the anti-falling assemblies achieve one-way movement of a lithium battery in the inner box body through inner ratchet wheels, buffer plates are installed on the two side walls of the lower portion of the inner box body through buffer springs, and the buffer plates and the anti-falling assemblies are located on the same side of the inner box body. The anti-falling assembly, the buffer plate and the buffer spring are arranged in the inner box body, the friction force between the inner ratchet wheel and the buffer plate and the lithium battery can be increased, the risk of self-service falling of the lithium battery is reduced, meanwhile, the impact energy of the lithium battery in the transportation process can be effectively relieved and counteracted through the buffer spring and the damping shock absorber, and the service life of the lithium battery is prolonged. The lithium battery is prevented from being collided and damaged due to large shaking, and the anti-risk capability of the lithium battery is effectively improved.
Owner:STATE GRID GANSU ELECTRIC POWER CORP DINGXI POWER SUPPLY CO

Time sequence probability prediction method for fusion of two-stage space-time diagram network and multi-source information

The invention discloses a two-stage space-time diagram network and multi-source information fusion time sequence probability prediction method and device, and relates to the technical field of artificial intelligence and big data analysis. The method comprises the following steps: acquiring historical wind speed sequence data and corresponding target variable sequence data; preprocessing the data, and constructing a training sample according to a preset time sliding window; constructing a time sequence probability prediction framework of the two-stage space-time diagram network and multi-source information fusion; based on the fluctuation correlation of the historical sequence data, constructing an adjacent matrix between nodes; inputting the training sample and the adjacent matrix between the nodes into a wind speed prediction model, training the model through a designed threshold perception loss function of a wind speed-power nonlinear relationship, and outputting a multi-node wind speed prediction probability of a first stage; and inputting the multi-node wind speed prediction probability and the multi-source environmental factor data into the gradient boosting tree model for second-stage prediction, and outputting a multi-node wind power prediction result. According to the invention, prediction errors can be reduced.
Owner:UNIV OF SCI & TECH BEIJING +1

Shelter equipment remote power supply monitoring method and system based on Internet of Things

The invention provides a shelter equipment remote power supply monitoring method and system based on the Internet of Things. The method comprises the following steps: monitoring each electric device in real time, and sending monitoring data to a cloud server to obtain real-time monitoring data; generating an accurate power demand prediction report according to the real-time monitoring data; based on the power demand prediction report, when power supply and demand imbalance is predicted, starting an optimization scheduling strategy based on a particle swarm optimization algorithm, dynamically adjusting the output power of a generator set or the working schedule of electric equipment, and evaluating potential risk points by using a fault tree analysis technology; generating an emergency response plan and an optimal scheduling result; and carrying out automatic management on a power resource shortage condition based on the optimal scheduling result, ensuring normal operation of high-priority equipment, and generating a power management decision suggestion. According to the technical scheme provided by the invention, the flexibility of power supply monitoring can be improved.
Owner:CSSC HAISHEN MEDICAL TECH CO LTD

Hydrogen energy engine fuel oil taking coal-to-oil as base material and preparation method of hydrogen energy engine fuel oil

The invention belongs to the technical field of fuel oil, and particularly relates to hydrogen energy engine fuel oil taking coal-to-oil as a base material and a preparation method of the hydrogen energy engine fuel oil. Comprising the following components: 35-45 parts of coal-based Fischer-Tropsch synthesis crude liquid wax, 5-15 parts of white oil, 2-8 parts of heavy wax, 15-25 parts of hydrogenated anthracene oil, 2-8 parts of fatty acid methyl ester, 15-25 parts of hydrogenated coal diesel oil and 1-5 parts of an additive. The preparation method comprises the following steps: S1, weighing the raw materials according to the proportion of the fuel oil of the hydrogen energy engine; and S2, adding the raw materials into a stirring container, and uniformly stirring to obtain the hydrogen energy engine fuel oil. The fuel oil does not belong to dangerous chemicals, the ignition performance of the fuel oil is superior to that of current national 6 diesel oil, the terminal sale price of the fuel oil is lower than that of the diesel oil, and market requirements are met.
Owner:HEBEI GUOYUAN ENERGY DEVELOPMENT CO LTD

Battery cluster parallel operation control method and device, energy storage system, electronic equipment and medium

The invention relates to a battery cluster parallel operation control method and device, an energy storage system, electronic equipment and a medium, the energy storage system comprises n battery clusters, data interaction is carried out between battery monitoring units based on a preset communication bus, and the method comprises the following steps: receiving battery pack parameters returned by the battery monitoring units according to a first time interval, obtaining battery cluster parameters according to a second time interval; calculating parallel operation rating scores of the battery clusters according to the battery pack parameters and the battery cluster parameters; determining the parallel operation level of the battery according to the parallel operation rating score; if the battery parallel operation level is greater than or equal to a preset level threshold value, sending a parallel operation channel occupation command to a preset communication bus; and if the parallel operation channel is successfully occupied, executing a preset parallel operation program. The battery parallel operation control scheme provided by the invention does not depend on an electric energy management system in the energy storage system, and a host and a slave do not need to be arranged in the battery cluster, so that the anti-risk capability of the energy storage system and the battery cluster parallel operation power-on robustness can be greatly improved.
Owner:SHENZHEN TOPBAND CO LTD

A method for improving cable insulation performance based on production process parameter adjustment

The present invention discloses a method for improving the insulation performance of a cable based on the adjustment of production process parameters, which relates to the technical field of cable preparation, and includes: obtaining characteristic material use parameters; establishing an adjustment model of the characteristic material use parameters for the insulation performance of the cable; establishing an adjustment model of the laying thickness for the insulation performance of the cable; forming a critical amplitude of the improvement of the insulation performance of the cable; when the property of the improvement of the insulation performance of the cable is a significant improvement, using the adjustment model of the laying thickness for the insulation performance of the cable to improve the insulation performance; when the property of the improvement of the insulation performance of the cable is a slight improvement, using the adjustment model of the characteristic material use parameters for the insulation performance of the cable to improve the insulation performance. By establishing an adjustment model of the characteristic material use parameters for the insulation performance of the cable and establishing an adjustment model of the laying thickness for the insulation performance of the cable, the scheme with the lowest cost is selected to reduce the operating pressure of the enterprise.
Owner:HEFEI UNIV OF TECH +1

Three-dimensional visual monitoring system for railway traction substation

The invention belongs to the technical field of electrical monitoring, and particularly relates to a railway traction substation three-dimensional visual monitoring system, which comprises a data acquisition unit, a data processing unit and a data feedback interaction unit, and is characterized in that the data acquisition unit is used for acquiring working condition data of electrical equipment in a railway traction substation; comprising a fixed acquisition module and a mobile acquisition module; according to the invention, image information acquisition is carried out on dead corners which are difficult to cover by the fixed acquisition module through the mobile trolley, comprehensive coverage and full monitoring of the railway traction substation are realized under dynamic and static cooperation mutual verification, and the safety and reliability degree of information acquisition is improved; moreover, when the information acquisition devices corresponding to the fixed acquisition modules in part of the areas break down, the mobile trolley can be controlled to go to the fault area as a supplement, so that the blank of a monitoring network is filled, and the anti-risk capability of the whole railway traction substation monitoring system is improved.
Owner:NANJING SHENTUO ELECTRONIC TECH CO LTD

Early warning method for online car-hailing order service duration abnormity

The invention discloses an online car-hailing order service duration abnormity early warning method, which comprises the following steps: S1, starting, a passenger places an order, and a driver clicks that the passenger gets on the car; s2, judging whether the order service type is an instant vehicle use type or not; s3, if the vehicle is used instantly, recording the predetermined getting-on time t1, the estimated arrival time t2 and the system time t3 of the passenger; s4, if not, the actual boarding time t of the passenger, the estimated arrival time t2 and the system time t3 are recorded; s5, t3gt is judged; t2, if yes, listing the orders into an overtime non-arrival queue; according to the invention, the condition that the online car-hailing order is not settled for a long time is automatically identified and warned, and the condition that the driver does not settle the order intentionally or unintentionally is found before the customer complaints; the order state and the service duration are monitored in real time and at high frequency, possible system faults or other unforeseen circumstances are found in time, and the anti-risk capability of the platform is enhanced.
Owner:SHOUYUE TECH BEIJING CO LTD

Supply chain node toughness dynamic evaluation method based on information entropy

PendingCN121936956AAccurate dynamic assessmentrealization riskInstrumentsSensitive analysisBusiness enterprise
The invention discloses a supply chain node toughness dynamic evaluation method based on information entropy, and belongs to the field of supply chain network toughness research. The method comprises the steps of calculating efficiency and redundancy of enterprise nodes in supply and demand directions based on an information entropy theory; according to the roles of the enterprise nodes in the supply chain network, performing weighted fusion to obtain the total efficiency and the total redundancy of the enterprise nodes; by comprehensively considering efficiency and redundancy, dynamic quantification of enterprise node toughness is realized. In addition, node toughness driving mechanism diagnosis based on an internal structure is further introduced, and internal structure factors for driving node toughness fluctuation are accurately recognized through exponential decomposition and sensitivity analysis. According to the method disclosed by the invention, dynamic quantification and attribution analysis of the fine-grained toughness of the enterprise node level based on the supply and demand bidirectional dependency relationship are realized, and powerful decision support is provided for accurately positioning the fragile link of the supply chain, optimizing the structure of the supply chain and improving the overall anti-risk capability of the supply chain.
Owner:HANGZHOU NORMAL UNIVERSITY

Wind-resistant cable

The utility model provides a wind-resistant cable which comprises a cable body, a sleeve seat is sleeved on the outer side of the cable body, a second elastic pad is installed inside the sleeve seat, a protective layer is installed on the bottom surface of the second elastic pad, a first connecting seat is installed below the outer side of the sleeve seat, and a second connecting seat is installed below the first connecting seat. And a second connecting seat is installed on the outer side of the first connecting seat, a protection groove is formed in the outer side of the second connecting seat, and a bottom pad is installed on the inner bottom face of the protection groove. According to the wind-resistant cable, the spring columns and the first elastic pads are installed in the protection grooves, the reverberation degree of the cable body can be reduced through the spring columns and the first elastic pads, the cable is prevented from being pulled apart in the shaking process, and the anti-risk capacity of the cable body can be effectively improved; the second elastic pad and the protective layer are arranged at the contact position of the sleeve seat and the cable body, friction between the cable body and the sleeve seat can be reduced through the arrangement of the second elastic pad and the protective layer, and the use safety of the cable body is effectively improved.
Owner:NANJING SULAN CABLE MFG CO LTD

Encrypted signature system and method based on dynamic parameter selection

The invention provides an encrypted signature system and method based on dynamic parameter selection, the encrypted signature system comprises a background management system, a signature adding and verifying interface and an encryption machine method interface, the background management system is used for configuring system parameters, and the system parameters comprise a signature mode; the signature adding and verifying interface is used for dynamically selecting corresponding algorithm implementation classes to carry out encryption signature operation and encryption signature verification operation according to system parameters configured in the background management system; the encryption machine implementation class adopting the national secret algorithm is packaged in the encryption machine method interface, the system achieves flexible selection of the encryption signature algorithm and dynamic switching of encryption machine equipment through parameter configuration in the background management system, guarantees continuity and safety of system services, and efficiently and smoothly completes national secret transformation work of an existing system.
Owner:BEIJING ZHONGGUANCUN BANK CO LTD

A method, system and storage medium for improving the risk resistance of distribution network

ActiveCN117057599B
The present invention relates to a method, system and storage medium for improving the anti-risk capability of a distribution network. The improvement method includes establishing a distributed power configuration model, establishing an attack uncertainty set U, establishing a distribution network anti-risk capability improvement model C, converting the model C into a three-layer problem model through an NC&CG algorithm and substituting it into a software solution; the system includes a distributed power configuration model establishment module, an attack uncertainty set establishment module, a distribution network anti-risk capability improvement model establishment module, a model simplification and conversion module, and a model calculation and result output module; a readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned distribution network anti-risk capability improvement method are implemented; the present invention reasonably combines the investment strategy and operation strategy of the distribution network, and effectively increases the anti-risk capability of the distribution network. The present invention builds a system platform and a storage medium, so that the improvement method can be more smoothly applied to different scenarios.
Owner:STATE GRID JIANGSU ELECTRIC POWER CO LTD NANJING POWER SUPPLY COMPANY +1

Engineering information data management method based on block chain

The invention provides an engineering information data management method based on a block chain, and relates to the technical field of block chains, the method is applied to a first server, and the method comprises the following steps: obtaining to-be-processed engineering information data; the synchronous broadcast is sent to the plurality of node servers, reply information sent by a second server in the plurality of node servers is received, and the reply information comprises a second public key of the second server and equipment information; respectively sending the equipment information of each second server to other second servers for verification; after the information that the plurality of second servers pass the verification of the equipment information is obtained, encrypting each piece of engineering information data by adopting a second public key to obtain encrypted data, so that the encrypted data can be decrypted by adopting a second private key corresponding to each second public key; and sending the encrypted data to the second server according to the communication address of each second server. According to the invention, the security of engineering information data management can be improved.
Owner:FUZERUNSEN (WUHAN) TECH CO LTD

Power transmission network frame extension planning optimization method and device considering extreme scene

The invention relates to the technical field of electrical engineering, and provides a power transmission network frame extension planning optimization method and device considering an extreme scene. The method comprises the following steps: firstly, acquiring historical data of an extreme disaster scene of a power grid, and performing primary processing to obtain an extreme scene set; then, a power transmission network frame extension optimization objective function is constructed, and the power transmission network frame extension optimization objective function comprises an economic index and a stability index; then, constraint conditions are set based on the power transmission network frame extension optimization objective function; and finally, a TD3 algorithm improved based on a multi-task learning algorithm is adopted to solve and obtain a new energy multi-infeed power transmission network frame extension planning model based on the extreme scene set and the power transmission network frame extension optimization objective function. The overall anti-risk capability of the power grid is enhanced, the structural toughness of the power grid is enhanced, the safe operation level of the power grid under the extreme weather condition is comprehensively improved, and the emergency response capability under the extreme weather condition is enhanced. And the stability, the reliability and the anti-risk capability of the power grid are improved.
Owner:SICHUAN UNIV

An intelligent dispatching method and system for power grid security based on multi-source data analysis

PendingCN122638997AGuaranteed normal consumptionGuaranteed operating economyData setExtreme weather
The application relates to a smart scheduling method and system for power grid safety guarantee based on multi-source data analysis, relates to the technical field of power grid scheduling, builds a high-precision space-time evolution digital twin power grid model, fuses four-dimensional multi-source fusion data sets generated by five types of data such as power grid operation, equipment health and extreme weather, adopts a space-time attention graph convolutional neural network to perform multi-scale safety situation assessment, and outputs node-level, regional-level and system-level safety margins and progressive risk prediction results in the future 1-72 hours; a dynamic weight generator driven by a safety situation is constructed to automatically adjust the weights of five optimization objectives; a constraint self-adaptive multi-objective optimization model is solved to obtain a Pareto optimal solution set, an optimal scheme is selected after multi-scenario robustness simulation, and a closed-loop self-adaptive mechanism is established to continuously optimize the core model. The application solves the problems of single traditional scheduling target and poor adaptability, and significantly improves the safety, economy and anti-risk ability of power grid operation.
Owner:KAIFENG POWER SUPPLY COMPANY STATE GRID HENAN ELECTRIC POWER

Data analysis-based cross-regional environmental collaborative governance data management system and method

The application discloses a cross-regional environment collaborative governance data management system and method based on data analysis, relates to the technical field of environmental data management, and comprises the following steps: obtaining cross-regional environmental monitoring data and collaborative governance behavior data, constructing a pollution transmission topology graph and predicting the arrival time and peak intensity; generating early warning information by combining the affected nodes with the sensitive targets and upstream early warning levels in a bidirectional association; based on the topology graph and the early warning information, generating a task arrangement scheme with minimum global damage by scheduling game; performing uncertainty stress testing on the scheme, and if the scheme is lower than the robustness threshold, then cyclically adjusting the scheme until it meets the standard and is issued; receiving execution time and effect data, triggering topology graph re-prediction and early warning information updating when deviation occurs, and performing local or global task re-arrangement; comparing the actual pollution evolution curve with the predicted curve, calibrating the pollution transmission parameters, and updating the evaluation value of the emergency response efficiency of each region.
Owner:INNER MONGOLIA ECOLOGICAL ENVIRONMENT BIG DATA CO LTD