54results about How to "Improve operation and management efficiency" patented technology

The invention relates to the technical field of comprehensive emergency management, in particular to a decision-making and command all-in-one machine based on a digital predetermined plane and an operation method of the all-in-one machine. The all-in-one machine comprises a basic platform layer, a predetermining plane layer, a service application layer and a user layer in the aspect of architecture and adopts the design combining an application system and a hardware platform as a whole, can cope with natural hazards, accidents, disasters, public security, social security and various emergencies, and meets core requirements for analysis, judgment, decision making, scheduling, commanding and emergency management of public security emergency management. By means of integral design of the decision-making function and the command function and the all-in-one architecture combining practical auxiliary decision making of seven decision-making support technologies, the application system and the hardware platform, investment is little, implementation is easy, effects are fast, and professionalization is achieved. The all-in-one machine can be used for an intelligent emergency decision making and command scheduling system.

The invention relates to an intelligent checking method for relay protection setting values based on the XML technology. The method includes the steps that a setting value collecting module collects and records setting value data of a plurality of protected devices simultaneously; a data double-calculation and check module loads corresponding setting value models automatically, calculates and analyzes the setting value data, and determines whether the setting value data exceed thresholds preset in the setting value models, and if yes, generates a setting value check abnormal report; and a check information publishing module loads the setting modules automatically, generates a device setting value early warning report, and publishes the report. The invention further discloses an intelligent checking system for the relay protection setting values based on the XML technology. According to the method and the system, the setting value models are not needed to be allocated according to each protected device, a rule base is checked through flexible allocation of the relay protection setting values, therefore the accuracy and rationality for checking the relay protection setting values are improved greatly, automated management during the whole process is achieved, and the device operation management efficiency is improved.

The invention provides a three-dimensional virtual visualization display method of a thermal power plant. The method includes the steps that a three-dimensional model of the thermal power plant is established; modeling is conducted on the state of water, the state of fire and the state of oil in the thermal power plant, and a three-dimensional water vapor model, a three-dimensional flame model and a three-dimensional oil model of the thermal power plant in the operating process are obtained; the three-dimensional water vapor model, the three-dimensional flame model and the three-dimensional oil model are respectively combined with a three-dimensional model of the thermal power plant, and a three-dimensional model of the initial operating state of the thermal power plant is obtained; the three-dimensional model of the initial operating state of the thermal power plant is adjusted according to real-time data, so that a three-dimensional model of the real-time operating state of the thermal power plant is obtained; the model is displayed. The three-dimensional virtual visualization display method of the thermal power plant has the advantages that the real-time operating state of the thermal power plant and the details of equipment are displayed vividly and visually, the operating management efficiency of the thermal power plant is greatly improved, and the advantages of being simple, convenient and visual to operate, wide in applied range, large in potential economic benefit, and capable of being used in a staff training system, a long-distance routing inspection system, an operation production management system and the like of the thermal power plant are achieved.

The invention provides a data network quality automatic dial testing method and system. The method comprises the steps that when a scheduling command issued by a dial testing server is received, network layer dial testing is respectively initiated to a user terminal and a target application server; whether network layer dial testing is successful is judged; if network layer dial testing is successful, DNS analysis testing is initiated to the target application server, and whether DNS analysis is successful is judged; if DNS analysis is successful, a TCP handshake request is initiated to the target application server, and whether TCP handshake is successful is judged; if TCP handshake is successful, HTTP connection request is initiated to the target application server, and whether HTTP connection is successful is judged; and if HTTP connection is successful, a successful result is sent to the dial testing server. According to the invention, the workload of a user is reduced; the technical level requirement for a user is not high; the problem of inaccurate traditional fault analysis is solved; the cost of network operation and maintenance can be reduced; and the network operation and management efficiency is improved.

The invention provides an unmanned electric forward-movement-type clamping vehicle which is provided with a vehicle body and a storage battery arranged on the vehicle body, wherein the vehicle body is provided with a working device capable of stretching and contracting up and down; the working device moves back and forth along the vehicle body by virtue of a telescopic device; the working device is provided with a clamping device capable of sliding up and down along the working device; the vehicle body is provided with a navigation system capable of automatically controlling the vehicle to run; a main control device in the navigation system is used for controlling the back-and-forth movement, ascending and descending of the working device as well as the opening and closing of the clamping arm of the clamping device. According to the unmanned electric forward-movement-type clamping vehicle, a magnetic guide mode is adopted for realizing an unmanned mode; by virtue of different transmission commands of optoelectronic signals, the vehicle automatically recognizes the signal commands and automatically decides operation actions; by virtue of unmanned automatic operation, the vehicle operation management efficiency is improved and occupied manpower resources can be reduced; the working device of the vehicle can be contracted, so that a vehicle operation passage is omitted, the operation safety performance of the vehicle is improved, the storage capacity efficiency is improved, and the clamping vehicle is suitable for cargo transportation in the industries of foods, beverages, tobaccos, textiles and the like.

The invention discloses an activated sludge characteristic determination method based on zoogloea microscopical image analysis and belongs to the technical field of sewage treatment. The activated sludge characteristic determination method comprises the following steps of 1, activated sludge zoogloea image information acquisition, 2, zoogloea image analysis: measuring the diameter of zoogloea in an activated sludge sample, dividing the zoogloea in the activated sludge into microstructure zoogloea, medium structure zoogloea and large structure zoogloea, counting the three types of the zoogloea, calculating a zoogloea volume and calculating a zoogloea characteristic value Z, 3, zoogloea-activated sludge characteristic correlation analysis and construction of relationship functions of the zoogloea characteristic value Z, and SV, SVI, MLSS and MLVSS, and 4, calculation of characteristic parameters of the activated sludge sample to be analyzed. The activated sludge characteristic determination method improves accuracy and instantaneity of activated sludge analysis monitoring, and provides a strong technical support for realizing effective technological parameter adjustment and management in sewage treatment.

The invention relates to an oil-gas well testing remote monitoring and management system which is composed of a field data collection end, a field data monitoring end, a public mobile communication network and a central local area network. The field data collection end comprises a wireless pressure transmitter, a wireless temperature transmitter, a wireless flammable gas monitoring sensor, a wireless sulfuretted hydrogen monitoring sensor and a wireless liquid level sensor. The field data collection end carries out field data communication with a field collection host computer through a field data receiving antenna and a wireless sensor network server, real-time monitoring is carried out on field production parameters, and calculation of gas production capacity and liquid production capacity is completed. The field collection host computer transmits field collected data to a remote data server through a collected data remote transmission antenna and the public mobile network base station, and a system manager terminal achieves real-time sharing of data by accessing the remote data server. According to the oil-gas well testing remote monitoring and management system, data collection of oil-gas well testing and production dispatching are made to form a networked platform, and operation management efficiency of oil-gas well testing is improved, and administration expense of well patrol is reduced.

The invention relates to an ultra-short-term wind electricity power prediction method based on dynamic correlation characteristics and belongs to the technical field of wind electricity power prediction. The method furthest utilizes the dynamic correlation characteristics of a wind electricity power time sequence, and makes accurate predictions by fully utilizing the recent change characteristics of wind electricity power on the basis of mastering the change rules of wind electricity power at different moments. The method can perform rolling prediction of wind electricity power in 0-4 hours, with the time interval being 15 minutes. The prediction method can guarantee the safety and stability of the operation of power grids, improve the wind electricity absorption capability and operation management efficiency of power grid companies, promote energy conservation and emission reduction, and bring huge economic and social benefit and has a favorable application prospect.

The invention relates to a portable comprehensive management system for the traffic safety of a road managed and controlled vehicle, belonging to the technical field of highway engineering in transportation engineering. The system includes an on-board control device, an on-board road traffic safety monitoring and management subsystem and a remote management subsystem for the traffic safety of themanaged and controlled vehicle. According to service demands of safe driving, real-time road condition inspection and emergency management of road managed and controlled vehicles under special conditions, the comprehensive management system of the invention actively prevents risks of the managed and controlled vehicles through "information environment perception, intelligent monitoring and early warning and assisted driving", thus effectively guaranteeing the traffic safety of the managed and controlled vehicles under special conditions, and assisting in the emergency handling and management of emergencies through rapid reporting of road conditions and event information in adverse weather like rainy and foggy weather, and in traffic accidents, and management and control of queuing and passing of the managed and controlled vehicle vehicles. The system is easy to promote and apply.

The invention discloses a continuous descent approaching emission optimization method based on a particle swarm algorithm. The method comprises that firstly, an aircraft continuous approaching descent flying process is analyzed, and a continuous descent approaching nominal track operation control model is constructed; secondly, feasible tracks and flight parameter constraint conditions in an aircraft continuous descent process are determined, and a continuous descent approaching emission optimization transition space and an emission optimization approaching space are set; thirdly, a Gauss model is employed as a model of an atmosphere diffusion mode, a pollutant concentration evaluation coordinate system is established, decision variables of the model are analyzed, and key factors influencing pollutant concentration are found out; lastly, taking the minimum emission concentration of aircrafts in an approaching process as the goal, an aircraft continuous descent approaching emission optimization model is established, and solution is carried out through the particle swarm algorithm. The method is advantaged in that the continuous descent approaching tracks for realizing the minimum pollution can be set according to different airports for the airports and dense population zones nearby the airports, and corresponding reference is provided for energy saving and emission reduction of the aircrafts at a terminal area descent stage.

The invention discloses a warehouse and storage integrated intelligent management system based on artificial intelligence and a management method. The system comprises a furniture order parameter acquisition module, a furniture order standard assembly duration statistics module, a furniture order standard assembly mode determination module, a furniture order assembly matching analysis module, an assembly part type statistics module, an assembly part replenishment parameter acquisition module, an assembly part replenishment sequence matching analysis module, a management database, a management cloud platform and an early warning processing terminal. By respectively counting a furniture order assembly matching precision coefficient and an assembly part replenishment sequence matching precision coefficient in a set time period, a comprehensive operation management precision coefficient of the furniture storage in the set time period is evaluated by combining the furniture order assembly matching precision coefficient and the assembly part replenishment sequence matching precision coefficient, so that comprehensive integrated operation management of the assembly furniture storage is realized, and the assembly furniture storage management precision is effectively improved.

The invention relates to a whole-journey cold chain system. The system comprises a cold chain box and an intelligent network platform, all components on the cold chain box and a related control algorithm are written into software modules with a fixed format, wherein the software modules are formed by software, and the software modules form model modules of the intelligent network platform; a modeled system platform of the intelligent network system is used for conducting organic combination on the software modules in the model modules to meet multi-aspect requirements of regulating of the whole-journey cold chain; a modeled flow platform of the intelligent network platform is used for achieving flow customized service to establish an inter-enterprise interconnected operating management mode. The system can achieve regulating integration of the whole-journey cold chain.

The invention relates to a continuous annealing furnace. An in-furnace conveying chain is arranged in a furnace body; an input end of the in-furnace conveying chain extends out from an inlet of the furnace body to be connected with pre-furnace equipment; an output end of the in-furnace conveying chain extends out from an outlet of the furnace body to be connected with a post-furnace conveying chain; a combustion system, a quick cooling section air cooling and smoke discharging system, a front slow cooling section air cooling system and a rear slow cooling section air cooling system are sequentially arranged on the furnace body from the inlet to the outlet; the pre-furnace equipment comprises a non-return device, a platform pipe presence detecting device, a pipe diameter measuring device and a sand blasting device, a pipe dividing mechanism, a centering mechanism, a supporting rotating mechanism and a pipe blocking and discharging mechanism; the pipe dividing mechanism, the centering mechanism, the supporting rotating mechanism and the pipe blocking and discharging mechanism are sequentially arranged in the pipe conveying direction; the quick cooling section air cooling and smoke discharging system is used for supplying cold air into the furnace body from the top and discharging smoke from the bottom of the furnace body; and the in-furnace conveying chain and the post-furnace conveying chain are driven by one driving mechanism. The continuous annealing furnace is reasonable in overall structural design and complete in system; and the pre-furnace equipment is high in automation degree and stable in pipe transportation, and special personnel do not need to watch pipes in real time.

The invention discloses a swarm intelligent building application program semi-physical real-time simulation platform. The semi-physical real-time simulation platform comprises a swarm intelligent building simulation model library (1), a swarm intelligent building model management engine (2), a swarm intelligent simulation operation management library (3), a swarm intelligent building simulation data monitor (4), a CPN system interface (5), a CPN system (6), a swarm intelligent simulation thread scheduling center (7) and a swarm intelligent building simulation display module (8). The CPN system(6) is in bidirectional signal connection with the swarm intelligence building simulation data monitor (4) through the CPN system interface (5); wherein the swarm intelligent simulation operation management library (3) is respectively in bidirectional signal connection with the swarm intelligence building simulation data monitor (4) and the swarm intelligent building model management engine (2),and the swarm intelligence building simulation model library (1) is in bidirectional signal connection with the swarm intelligent building model management engine (2). According to the simulation platform, testing, analyzing and verifying of the swarm intelligence building application program are effectively achieved.

The invention discloses an airport gate position service measurement management system based on handheld machines and a measurement management method employing the system. The system comprises a plurality of gate positions, a plurality of sets of gate position devices, a mobile service equipment dispatching center, an application server, a system management terminal, an airport information system,a handheld machine server, a dispatching monitoring terminal and the handheld machines, the gate positions comprise remote gate positions and near gate positions, and the gate position devices comprise mobile service devices and fixed service devices. According to the system and the method, ground equipment service measurement monitoring work of airplanes at the remote gate positions and the neargate positions can be realized, the informatization construction of the airport gate position service work can be strengthened and extended, the operation management efficiency of the gate position service devices in the airport is greatly improved, quick response code information of the service devices is scanned according to flight scheduling information of the handheld machines to obtain measurement settlement data with accurate matching, effective bases can be provided for automatic settlement of airport and airline services, and the automation construction is strengthened.

The invention relates to a wireless SF6 image transmission analysis device based on a cloud intelligent object, which comprises a wireless meter reading system and a wired meter reading system, and is characterized in that the wireless meter reading system comprises a first control host, a first server and at least one first SF6 pressure gauge; the wired meter reading system comprises a data concentrator, a second control host, a second server and at least one second SF6 pressure gauge, and each of the first server and the second server comprises an image recognition server and a monitoring management server; the wireless SF6 image transmission analysis device further comprises an acquisition unit, an abnormal state recognition unit and a JPEG data acquisition unit, the image recognition server is in bidirectional connection with the monitoring management server, and the monitoring management server is in bidirectional connection with the acquisition unit. According to the invention, automation of reading the SF6 meter of the power distribution network can be realized, the data acquisition efficiency and accuracy are improved, the labor cost is reduced, and the economic benefit is high.