69results about How to "Improve the level of refined management" patented technology

The invention relates to an agricultural Internet of Things platform system. The agricultural Internet of Things platform system comprises an agricultural data resource integration module, a system professional support module and a terminal demonstration platform, wherein the agricultural data resource integration module, the system professional support module and the terminal demonstration platform are connected in sequence. The agricultural data resource integration module comprises a cloud data center, a cloud computing center, a cloud service center, an agricultural information acquisition center and multiple agricultural data resource databases. The system professional support module comprises a lean production decision control module and a processing warehousing logistics real-time monitoring module. The lean production decision control module receives a dispatching request of the cloud service center and then establishes dynamic requirement models including the disease and pest remote diagnosis model and the livestock feeding diagnosis model. The processing warehouse logistics real-time monitoring module receives the dispatching request of the cloud service center and then performs real-time monitoring on agricultural product processing, warehousing and logistics information. Real-time monitoring of the agricultural production process can be achieved, and the level of lean management of agricultural production and operation is increased.

The invention relates to an agricultural things-internet platform architecture. The agricultural things-internet platform architecture comprises an agricultural data resource integration module, a professional system supporting module and a terminal demonstration platform which are sequentially connected. The agricultural data resource integration module comprises a cloud data center, a cloud computing center, a cloud service center, an agricultural information acquisition center and a plurality of agricultural data resource databases. The professional system supporting module comprises a fine production decision control module and a processing warehouse logistics real-time monitoring module. The fine production decision control module conducts dynamic demand modeling after receiving a dispatching request of the cloud service center and comprises a fertilizer applying model and a water and fertilizer regulating and control module. The processing warehouse logistics real-time monitoring module conducts agricultural product processing and warehouse and logistics information real-time monitoring after receiving the dispatching request of the cloud service center. The terminal demonstration platform is a things-internet demonstration platform containing field crop information, facility greenhouse information and agricultural material information. By means of the agricultural things-internet platform architecture, real-time monitoring in the agricultural production process can be achieved, and the agricultural production and management fine management level is improved.

The invention provides a GPS (Global Position System)-positioned meter reading smart handheld machine and a meter reading system. The system consists of a plurality of smart handheld machines, a workstation and a background server of the smart handheld machines and the workstation, wherein the plurality of smart handheld machines are used for receiving a meter reading task issued by the background server, and planning a meter reading route according to the meter reading task; GPS position coordinates of the handheld machines are timely uploaded to a background of the meter reading system in the process of meter reading, and the meter reading data is uploaded to the background server; the background server is used for downloading the meter reading task into the smart handheld machines according to the geographic position, so that the GPS position of each handheld machine can be monitored in real time, and the meter reading data uploaded by the handheld machines can be received and stored; the real-time position information of each smart handheld machine can be queried on a map, the practical operating path of a terminal can be reappeared, and the remote control of a meter reading work can be realized. The meter reading system is used for building the geographic position information of metering points, so that the functions of navigational positioning meter reading, on-site examination, electric inspection and equipment patrolling can be realized, and the information sharing among all field workers can be realized.

The invention discloses a transformer comprehensive monitoring system, which comprises a plurality of monitoring devices capable of rapid detection and fault positioning, external sensors of the monitoring devices, an outdoor cabinet body, a mobile wireless communication network and transformer internal insulation defect diagnosis system software. The transformer comprehensive monitoring system can improve the coping capability of a large-scale power transformer to more complicated operating conditions of an intelligent power grid in the future, and reduce the probability of occurrence of newhidden dangers, thereby improving the reliability of the entire power grid system; and the power transformer comprehensive monitoring system can perform rapid and effective evaluation on insulating states and service life of a large-scale power transformer, effectively instructs the operation and maintenance, reduces the workload of the operation and maintenance personnel, and decreases the operation and management costs.

The invention provides a fine management method for steel ladles of a steel plant. The method is characterized in that steel ladle related information is divided into overall information, energy consumption related information and safety related information; the overall information comprises steel ladle number, state, the ladle life of big repair ladles, the ladle life of small repair ladles and position; the energy consumption related information comprises standby time, roasting time and the quantity of residual steel; the safety related information comprises the using times of a molten pool, the using times of a water inlet, the using times of a water outlet, the using times of a sliding plate, the using times of an air brick and the using times of a stag line; the energy consumption related information determines the molten steel compensation temperature of the steel ladles at each procedure; and the safety related information determines whether the steel ladles can be safely used in the next period or not. With the method, a basis is provided for precise temperature compensation and a decision is provided for safety application of the steel ladles through dynamic maintenance of the overall information, the energy consumption related information and the safety related information in the steel ladle transfer process, so that the fine management level of the steel ladles of the steel plant is increased.

The invention relates to a Wi-Fi-signaling-data-based dynamic current limiting method of an urban mass transit. The method comprises: S1, Wi-Fi-signaling-based real-time station passenger flow data obtaining is carried out; S2, Wi-Fi-signaling-based real-time station passenger flow data mining is carried out; S3, according to the real-time passenger flow data, whether a current limiting starting condition is met is determined; if so, a current limiting plan is formulated and the formulate plan is implemented, current limiting information is issued in real time; and if not, the S1 is carried out continuously; S4, whether a current limiting end condition is met is determined; if so, the current limiting is ended; and if not, the a current limiting plan in the S3 is implemented continuously; and S5, current limiting end information is issued. Compared with the prior art, the method has the following advantages: the real-time passenger distribution situation at the station can be obtained comprehensively by the Wi-Fi-signaling-data-based data mining; the decision making basis of the dynamic current limiting plan is perfected; the refined management level of the urban mass transit can be improved; and the large passenger flow risk can be reduced.

The invention relates to a petrochemical enterprise factory model extension method based on object oriented analysis. The method comprises the following steps that an existing factory model system structure is extended; modeling objects are recognized; attributes of the modeling objects are marked; the association relation of the modeling objects is established; modeling object data services are provided. By means of the petrochemical enterprise factory model extension method, various established technological devices and energy pipe network factory models of petrochemical enterprises can be completely blended into the extended factory model system structure, and the consistency of extended system structures is ensured. Thus, MES products with extended factory models as kernels can meet the practical demands of technology or energy process optimization calculation of all petrochemical enterprises, and realization of the energy-saving and consumption-reducing targets of enterprises can be promoted. Meanwhile, intelligent realization of existing MES products and extension of the application range can be promoted.

The invention discloses a CADDS5 piping three-dimensional design method and system based on a database and relates to the field of three-dimensional design and digitized shipbuilding. The method includes: building the database, using JAVA to realize database access and data storage of pipeline, pipe fitting and valve models; building a CVMAC service and a JAVA socket service, realizing CADDS5 and ORACLE database communication, loading model data into CADDS5 to automatically generate models, and storing the models in the database in a data manner; building a pipe plotting manner using the data in the database as the data source, loading pipe fitting data from the database, and respectively generating pipe part drawings and pipe mounting drawings; using a JAVA serialization and deserialization mechanism to record pipeline data in a file manner so as to realize the return operation of pipeline data. By the method, modeling and plotting efficiency can be increased, drawing and model consistence is guaranteed, and design cycle is shortened.

The invention provides a method for acquiring urban rail transit operation state information, and relates to the technical field of urban rail transit operation management. The operation state information comprises a riding scheme, the interval passenger capacity of a train, the number of passengers getting on and off a station, the number of passenger remaining times and the like. the method mainly comprises the following steps: searching feasible initial physical paths according to travel time constraint conditions recorded by AFC data; constructing a time expansion network of each initial physical path, and searching feasible paths meeting time constraint conditions in the time expansion network; calculating the matching degree of the feasible path and the comprehensive time; searchinga riding scheme which is based on train capacity constraint and has the highest matching degree; and obtaining urban rail transit operation state information according to the riding scheme. Accordingto the method, the riding scheme corresponding to each group of AFC data can be identified and obtained, the urban rail transit operation evaluation index is obtained, and the urban rail transit operation refinement management level and operation efficiency are improved.

The invention provides an air pollution prediction method. The method comprises the following steps: (1) acquiring air pollution meteorological data; (2) converting the air pollution meteorological data into a pixel matrix and performing data filling; (3) carrying out time-space domain-oriented spatial-temporal feature unified modeling through a three-dimensional convolutional neural network model; (4) taking the output of the three-dimensional convolutional neural network model as the input part of a convolutional long-short term memory network, and carrying out long-time and short-time dependent modeling; (5) generating an air pollution prediction model based on a space-time dynamic advection method; and (6) optimizing the air pollution prediction model through an orthogonal regularization algorithm, and then carrying out environment prediction. The decoupled three-dimensional convolution is used to carry out spatial-temporal feature unified modeling, the representation capability of the spatial-temporal feature extraction is enhanced, the fusion of the spatial-temporal features is truly realized, and the training cost is reduced and the training speed is improved while the spatial-temporal convolution performance is improved.

The invention provides an urban road network dynamic division method and device, computer equipment and a storage medium. According to the method, potential traffic state modes and multi-dimensional change characteristics in road network traffic state data are deeply mined, the traffic space-time correlation and the connectivity of the space structure of the road network are introduced, and dynamic division is carried out on the road network, therefore, each sub-road network has similar spatio-temporal evolution characteristics, the difference of traffic modes among the different sub-road networks is maximized, scientific division of the large-scale road network can be realized, and the fine management level of the road network is improved. The method can be used for intelligent traffic control of the large-scale road network, and adopts real-time traffic guidance and control strategies for the different sub-road networks, thereby realizing macroscopic regulation and control of traffic flow of the whole road network, and providing basic technical support for an intelligent traffic system driven by data.

The invention relates to a high-precision atmospheric pollution source online monitoring and analyzing system which comprises a presentation layer (1), an application layer (2), a data resource layer(3) and a sensing layer (4). The presentation layer (1) comprises a large screen, a PC terminal and a mobile APP. The application layer (2) comprises a data application module, a pollution cause analysis module, a grid management module, an operation and maintenance management module and an analysis report module; the data resource layer (3) comprises meteorological data, station monitoring data,satellite remote sensing data, national control data, pollution source data and a monitoring equipment database; and the sensing layer (4) comprises a reference station, a point distribution micro-station and a laser radar. The high-precision atmospheric pollution source on-line monitoring and analysis system is large in coverage area and high in monitoring density and realizes dynamic monitoringand analysis of a pollution source.

The invention belongs to the technical field of power information systems, and particularly relates to a distribution network line panoramic visual data monitoring and analyzing system based on big data. The method mainly comprises the following two purposes: (1) unified data sharing of informatization data interface standards is realized, consistency maintenance of a power distribution network equipment account, a structure model and the like is realized, and the accuracy of data is ensured fundamentally; static parameter information and dynamic operation information of power distribution network equipment are combined with the spatial relationship and position information, so that the workload of repeated data maintenance of production personnel is reduced, and the working efficiency isimproved; (2) real-scene visual online monitoring and first-aid repair fusion are realized, monitoring cameras are installed on key nodes of the line, the monitoring cameras are fused with a corresponding three-dimensional model visual platform, the operation state of field power distribution equipment can be monitored in real time, and when a user in a real-scene coverage range has a fault, repair is reported.

The invention provides a transformer substation electric energy balance online control method capable of cooperative defect elimination. The method comprises the steps that an online balance centralized monitoring operation and maintenance system is built; an electric energy balance centralized monitoring group performs daily monitoring operation and maintenance on transformer substations of a whole province, finds non-balance exceptions timely, performs statistical analysis and launches a defect elimination procedure; a regulation and control center, a power transmission operation inspectiondepartment and a sales department transmit defect elimination information through work orders to achieve cooperative defect elimination. The method meets the requirement for the construction of a national power grid supporting network synchronous line loss system and is of great importance for deepening the construction of an electric quantity collection system, perfecting a balance monitoring andanalysis mechanism, improving the refined management level of an electric quantity system and improving the efficiency of cooperative operation and maintenance of dispatching, marketing, operation inspection and the like.

The invention relates to the technical field of spatial region planning, in particular to an intelligent division method for urban blocks. The method comprises the following steps: (1) dividing a city into a plurality of minimum segmentation units, and calculating the area; (2) estimating the population number of each minimum segmentation unit; (3) calculating the function mixing degree of each minimum segmentation unit; (4) constructing block constraint conditions, dividing the city into a plurality of blocks, and classifying each minimum segmentation unit into each block; (5) constructing a block area balancing objective function, a block population balancing objective function, a block function mixing degree maximization objective function and a block boundary compactness highest objective function; and (6) constructing a comprehensive objective function. According to the method, the urban space is divided into the blocks by using an intelligent division method, the population quantity balance and the area relative balance of each block can be ensured, the internal functions of the blocks are relatively perfect, and the method has important significance in the fields of urban space optimization, refined treatment and the like.

The invention discloses a risk early warning method for an electric energy meter automatic verification line. The method includes the following steps that: step 1, a risk index system is established; step 2, an index influence scope evaluation module is established; step 3, an early warning response module and an early warning directional push module are established; step 3, indexes in the risk index system are monitored, so that risk index data can be obtained, and whether a risk has been formed is judged; and step 5, when it is judged that the risk has been formed in the step 4, an early warning response event in the early warning response module is triggered based on the risk index data and the index influence scope evaluation module, and risk early warning content is pushed to users in different roles through the early warning directional push module. With the method of the invention adopted, early warning information can be provided for operation and maintenance personnel effectively before the occurrence of faults, and the operation and maintenance personnel can be assisted to avoid system risks and reduce the probability of the occurrence of faults.

The invention provides a power distribution area self-healing control method and system based on intelligent circuit breaker actions. The method comprises the steps that a tripped topmost-stage intelligent circuit breaker executes reclosing operation after the electrification time of an upper pile head is larger than a set threshold value Tx; the tripped next-stage intelligent circuit breaker executes reclosing operation after the electrification time of the upper pile head is greater than the set threshold value Tx; reclosing operation is repeatedly conducted until the tripped last-stage intelligent circuit breaker executes reclosing operation after the electrified time of the upper pile head of is greater than the set threshold value Tx; and if the intelligent circuit breakers having undergone reclosing do not generate post-acceleration protection tripping within a time threshold Ty, it is determined that no fault point exists at a downstream position, and a backup protection detection function is started; or if the post-acceleration protection tripping occurs within the time threshold Ty, it is indicated that closing is unsuccessful and a fault point exists at the downstream position. According to the invention, on the premise of not depending on communication and information interconnection and intercommunication, fault positioning and isolation and non-fault area self-healing in the power distribution area can be realized by analyzing the action logic sequence of the intelligent circuit breakers.

The invention discloses a cross-drainage-basin load distribution method of multi-stage inter-basin and intra-basin feedback iteration. In order to solve a distribution problem of the total load amongmultiple basin hydropower stations (groups), the method considers the water consumption rate and comprehensive utilization of reservoirs comprehensively as well as gives consideration to the short-term and long-term utilization of the reservoirs. According to the method, load are distributed to hydropower stations that do not have regulation capabilities basically and include daily regulation andrunoff hydropower stations, so that the waste water is minimized; and then the residual loads are allocated again among hydropower stations with regulation capabilities, wherein the priority power generation indexes of the hydropower stations are designed and a power generation sequence is determined based on consideration of combination of short-term and long-term utilization during allocation. Therefore, the automatic level of the cross-drainage-basin load distribution is improved; and the centralized and refined management level of the basin hydropower stations is improved.

The invention relates to the technical field of smart city construction, and particularly discloses a smart city wading link whole-process coupling simulation method, which comprises the following steps: acquiring meteorological data in real time; obtaining regional hydrology and surface source data according to the meteorological data, wherein the regional hydrology and non-point source data comprises non-built-up region hydrology and non-point source data and built-up region hydrology and non-point source data; obtaining sewage treatment data according to the pipe network drainage data in the hydrological and non-point source data of the built-up area; obtaining water quality and water ecology data according to non-pipe network drainage data and meteorological data in the non-built-up area hydrological and non-point source data and the built-up area hydrological and non-point source data; and generating pipe network water supply data according to the water quality of the water body and the water ecological data. The invention can serve water supply management, flood control and drainage, city joint scheduling, sponge city LID scheme optimization, pollution source tracing and control and the like, and the fine management level of urban water resources, water environments and water ecology is improved.

The invention discloses a Scada and electric energy acquisition system data fusion-based on-line sensing monitoring method and system for electric energy balancing of a substation. The method comprises the following steps of periodically acquiring power grid model data from a Scada system to identify each metering point; periodically acquiring configuration information and electric energy data ofthe metering point from an electric energy acquisition system; fusing the power grid model data and the electric energy data so that the data of each metering point is maintained to be consistent; building a balancing model; substituting the data of each metering point to the balancing model, and calculating unbalance rate; and generating warning record for a balancing point with balancing rate exceeding a threshold. On-line monitoring on a real-time balancing state of each electric energy balancing point of the substation is achieved, and the balancing control capability of dispatching on electric energy of the substation is improved.

The invention relates to the technical field of aluminum electrolysis, in particular to a full-life-cycle management method of an aluminum electrolysis anode and the aluminum electrolysis anode. The method comprises the steps that a first anode is subject to first serial number operation; identification codes are arranged on the first anode and correspond to first serial numbers; in the full-life-cycle management process of the first anode, first operation of the first anode is obtained; the first operation is associated with the first serial numbers; the aluminum electrolysis anode comprises a carbon block, a steel jaw and an aluminum guide rod, wherein an identification code is arranged on the aluminum guide rod and can be identified by a scanning device; through the technical scheme, delicacy management of the full life cycle of the anode and the aluminum guide rod can be achieved.

The invention relates to the technical field of high-speed rail sleeper manufacturing, in particular to a high-speed rail double-block type sleeper production line and a production method. A mold cleaning station, a release agent spraying station, a spiral rib mounting station and a truss mounting station are connected through roller beds, the truss mounting station is connected with a concrete distributing station through a transverse moving mechanism, and a mold crane is connected with the concrete distributing station, a steam curing station and a demolding station. The high-speed rail double-block type sleeper production line and the production method have the advantages that the intelligent technology is utilized to carry out innovation and optimization on each sleeper prefabrication station, and through the application of various high and new technologies with the intelligent robot application technology as the core and a sleeper prefabrication information management platform technical support is provided for solving field problems existing in the production process, the construction quality and the construction efficiency are improved, the fine management level of engineering is improved, waste is reduced to a great extent, the cost is saved, the whole prefabrication process of railway engineering projects is controllable, and some unnecessary losses are avoided.

The invention discloses an intelligent monitoring system for the equivalent age of concrete. The system comprises a data processing module, an intelligent power supply module, a temperature collectionmodule, a DTU communication module, a cloud server and a computer or a mobile phone terminal, wherein the intelligent power supply module is used for supplying power to the data processing module, the temperature collection module and the DTU communication module are connected with the data processing module, and the computer or the mobile phone terminal is used for inquiring and managing the temperature data stored in the cloud terminal. Compared with the prior art, the intelligent monitoring system has the advantages that the functions of all-weather collection of the equivalent age data ofthe concrete, the data trend analysis, the intelligent calculation, the remote rapid query, the pre-warning notification and the like are realized, the temperature variation of the maintenance environment of solid concrete can be objectively and truly reflected by the monitoring data, the calculation of an equivalent age value is relatively accurate, the system meets the standard requirements onthe inspection work of the equivalent age of the concrete in the construction process, the accuracy of the strength value of the concrete maintained by a structural solid inspection under the same conditions is powerfully guaranteed, the construction efficiency is improved, and the fine management level of a construction enterprise is increased.

The invention discloses a cable refined management and control method. The cable refined management and control method comprises the following specific steps: 1, cable optimization design, 2, fixed-length and fixed-disc cable purchasing, 3, warehouse-in and warehouse-out management and 4, cable laying tracking. According to the warehouse-in and warehouse-out management method for the cables, the phenomenon that the cables are lost on site can be effectively restrained, a trace is left for each cable, a user can master the number of the stored cables and the purpose of the cables which are notdelivered out of the warehouse, and the length of the cables purchased by sizing and coiling and the truly recorded laying record can reflect the real cable installation amount of each standard section, so that use personnel management can be facilitated. Detail management and construction records provide post-event tracing conditions for the length of the cable and an actual laying path, so thatthe phenomena of short metering, meter jumping and the like of the cable are reduced to a great extent; according to the invention, the short-metering and meter jumping phenomenon of a cable manufacturer and the loss and theft phenomena of field cables can be restrained, and the total use amount of the cables can be effectively controlled.

The invention discloses a device, system and method for measuring the canopy density of blueberry, and the method comprises the steps: obtaining a fisheye picture, and recording the value of an intelligent equipment sensor; rotating the picture according to the sensor value recorded during photographing; removing the images of ground, weed under a blueberry tree and other trees in the fisheye picture, and extracting a canopy image; dividing the canopy image into two classes: branches and leaves, and background; referring to an image before classification, and removing a main branch image spot from a canopy classification result image; dividing the fisheye picture into fan-shaped sections in a plurality of directions; calculating the proportion of the total number of pixels of branch and leaf classification spots in the fan-shaped sections to the number of pixels in the fan-shaped sections, i.e., the canopy density of the fan-shaped sections. The method can judge whether the canopy density of blueberry is high or low and is reasonable or not, so as to achieve the scientific clip of a tree, thereby improving the fine management level of blueberry, and achieving the good quality and high yield of blueberry.

The invention discloses an ecological protection red line background investigation method and device. The ecological protection red line background investigation method comprises the following steps: collecting basic data of an investigation area; the investigator uses the investigation terminal to transmit the information to the information collection terminal corresponding to each investigation item; carrying out similar information comparison on collection results of the plurality of information collection ends and ecological protection red line related data information; the server terminal collects, gathers and identifies comparison results; the ecological protection red line background investigation device comprises an information collection module; a request triggering module; a sending module; a receiving module; a server module, a statistics module and an output module. According to the method, the labor intensity of investigators can be greatly reduced, the accuracy of investigation results is improved, and the fine management level of ecological protection red lines can be improved by assembling existing data, extracting indexes, carrying out investigation, obtaining field data and carrying out special research.

The invention discloses a welding workload calculating method. The method is characterized by including the steps of determining identity information of weld joints by numbering the weld joints, calculating the theoretical filling metal amount of each weld joint to be compared with the welding material consumption per minute measured on site of different welding methods, and meanwhile consideringthe welding difficulty coefficient to obtain the theoretical welding man-hour of each weld joint. The method can conveniently calculate the welding man-hour of each weld joint with the aid of the EXCEL form formula and data function and has a precise guidance effect on the welding material consumption, welding cost, tender offer, welding production plan and welding performance assessment.

The invention discloses a system and method for dispatch production of hydropower station, The system part thereof comprises a centralized control center, a transit terminal of power station, a powergeneration management module, a production Live Module, a hydrological regulation module, an integrated query module, a report management module, a benchmarking management module, a display module, afire emergency module and a data input module, wherein the power generation management module, comprehensive inquiry module, report management module, benchmarking management module, data input module, display module and centralized control center are connected, the transfer terminal of power station and the centralized control center are connected via communication, the production live module, the hydrological regulation module and the fire emergency module are connected with the transfer terminal of power station respectively. As the centralized control center carries out centralized monitoring and management on each hydropower station unit, the fine management level can be improved, the human resource and technology can be highly centralized, the loss caused by the fault can be reduced,and the effect of intelligent management and data analysis can be achieved.

The invention discloses a photovoltaic power station operation assistant decision-making method based on association rule classification. For the rapid development of the current distributed photovoltaic power generation industry, the photovoltaic power generation enterprise invests in constructing a plurality of distributed photovoltaic power stations in a regional scope; correlation analysis isperformed according to the per unit capacity gain of the power station and weather resource parameters, power-limiting parameters, operation and maintenance efficiency parameters, and equipment failure parameters; and the correlation degrees between the per unit capacity gain of the power station and the weather resource parameters, power-limiting parameters, operation and maintenance efficiency parameters, and equipment failure parameter are calculated; and the correlation degrees are ordered according to the magnitude, thereby providing auxiliary support for the enterprise's operation decision-making. This application effectively assists the photovoltaic power generation enterprise's operation decision-making and improves the refined management level and efficiency of the enterprise.