632 results about "Daily operation" patented technology

A method for collecting, organizing, presenting, and using data relative to the scene of an emergency situation is disclosed. The method uses a Responder Assets Management System (RAMS) composed of four modules including information, logistics, operations, and planning. The information module makes general information immediately available to responders. The logistics module assists in managing equipment resources during a contingency and includes an equipment manager interface for managing equipment used to respond to an emergency situation. The operations module supports daily operations responsibilities and scales to handle significant emergencies and includes at least one of a situational awareness interface, a response options generator (ROG) interface, an operations manager interface, a messenger interface and a status board interface. The situational awareness interface is designed for emergency and crisis response managers to provide enhanced, community-wide situational awareness using full immersion, spherical images, Geographic Information System (GIS) maps, site and floor plans, and a database interface to provide virtual walk-through, pre-incident plans, for contingency planning, training visualization, and operational support. The ROG interface provides automated response and resource estimates to decision-makers in command posts and on-site in developing a response to significant, unplanned events. The operations manager interface is used by a remote headquarters to monitor an on-going operation. The messenger interface is a pre-formatted, topic oriented messaging system that supports both informational messages and messages that automatically update system data and displays. The status board interface is a situation display of key situational awareness data. The planning module assists users in planning for critical events.

The invention discloses a traction substation watchkeeper virtual immersion type training simulation system and method. Virtual three-dimensional scenes and related animations of a traction substation are established with three-dimensional modeling and animation software, the visual and auditory senses of training objects can be effectively enhanced, and the understanding of the training objects on study content can be intensified; the three training patterns of free exercising, situational teaching and simulation checking, and specific task training content are established with a three-dimensional engine and a database, and the training content is high in pertinence and capable of being freely modified; the scene perceptual feelings are further enhanced through virtual reality immersion type helmets and somatosensory interaction equipment. According to the method, the three-dimensional scene of the whole traction substation can be vividly and visually established through three-dimensional visualization simulation, the daily operation of patrolling, switching, overhauling and the like is simulated through service training content based on the three-dimensional scene, safe operation, a high immersion degree, high visualizability and a short training period are achieved in the training process, and good application prospects are achieved.

A system and a method for generating computer displays of data and information for management and real-time control of an organization utilizing critical performance indicators of performance states in all operational activities. The data and information are displayed in networked computer screens using algorithms to efficiently handle all the myriad elements constituting the day-to-day operation of an organization. The CEO can observe on his screen any selected data from all the operating units. The CEO is immediately informed of a bottleneck in operation for his attention. Every senior manager of a department continuously receives the relevant actual performance data of his department, presenting the results of executed activities. This information is displayed in selectable operating periods. Managers are also able to view the displays on screens of other departments and review data giving them information on their performance as much as it relates to their operating unit within an organization.

The invention discloses an automation operation and maintenance system based on Karaf and ActiveMQ and an implement method thereof. The automation operation and maintenance system comprises an application server, a monitored host, a database server and a Web server, wherein the application server is constructed through the Karaf and provides a server terminal module; the monitored host constructs a client terminal plug-in through the Karaf and obtains monitoring data; monitoring allocation information and monitored data are stored in the database server; the Web server provides a user allocation interface and a monitoring interface; the application server is connected with the monitored host through a proxy server, and calls a proxy server plug-in and the client terminal plug-in on the monitored host through the ActiveMQ so as to obtain the monitoring data. By means of the automation operation and maintenance system based on the Karaf and the ActiveMQ and the implement method of the automation operation and maintenance system, the capacity of self refreshing, heat deployment and distributed rapid function extension is achieved, automation of the daily operation and maintenance scene of a maintainer is achieved, only a small amount of script compiling is needed, and even no script compiling is needed.

The invention provides a city cooperative processing and linkage command system and a command hall. According to the system and the command hall, based on deep digging of a service relation among departments, through technology such as big data intelligent analysis technology, dynamic risk early-warning technology, multi-source coordination optimization technology and video-voice integration technology, a whole city daily operation cooperative processing system and an emergency processing linkage command system are established. Functional modules such as an event module, a command module, a processing module, a feedback module, a supervising module, an analyzing module and an evaluating module are integrated. The city cooperative processing and linkage command system and the command hall realize the following advantages of integrated cross-department and cross-organization resource integration, flexibly making and adjusting a solution, participating department intelligent selection, integrally displaying event and condition information, realizing full-process tracking, command and decision in daily operation management and emergency processing, realizing early finding, quick reaction and best processing, improving processing efficiency and shortening processing time.

The present invention provides a locomotive driver behavior recognition method, a device and a system. The locomotive driver behavior recognition method comprises the steps of preliminarily defining a to-be-trained image set containing multiple types of driver behaviors; based on the neural network algorithm, subjecting the to-be-trained image set to model training so as to generate a behavior training model; acquiring the real-time monitoring image of a locomotive cab, inputting the real-time monitoring image in to the behavior training model, and recognizing the type of a driver behavior. According to the technical scheme of the invention, based on the deep learning algorithm, several types of driver daily operations are automatically recognized. Meanwhile, images are automatically retrieved, so that the heavy manual work is avoided. The analysis efficiency and the analysis accuracy are improved.

The invention discloses a utility tunnel intelligent management system, which comprises a system maintenance module, an operation department service C/S management module, an operation department service M/S management module, a pipeline department service module, a data interface module, an intelligent decision-making support module and a unified database, and is characterized in that the system maintenance module is used for performing support management on a utility tunnel intelligent operation management platform; the operation department service C/S management module is used for performing management on a desktop terminal used by a utility tunnel operation department in the process of operating utility tunnels; the operation department service M/S management module is used for performing management on daily operation and maintenance services of the utility tunnels; the pipeline department service module is used for performing management on an operating system of a utility tunnel using department; the data interface module is used for performing data exchange with a utility tunnel inner bottom monitoring system; the intelligent decision-making support module is used for providing auxiliary decision-making support for utility tunnel operation management; and the unified database is used for storing data in full life cycle of the utility tunnels. The utility tunnel intelligent management system realizes intelligent operation management for the utility tunnels by using advanced information technologies, can avoid occurrence of major disaster accidents as far as possible, and promotes sustainable development of the utility tunnel operation work.

The invention provides an identity authentication method based on mouse behaviors of a user, and belongs to the technical field of biometric authentication. The user operates a human interface device to obtain the mouse behaviors, the device is different from hardware equipment used in the prior art, the hardware equipment is complex and expensive, only one computer is used, and therefore the identity authentication method has the advantages of being low in cost. In addition, in a training collection mode and a monitoring mode, the mouse behaviors are obtained in daily operation of the user, normal use of the user is not affected, and the identity authentication method has the advantages of being free of interference. The mouse behaviors serve as features, the features can be accepted by people more easily compared with physiological features of the people, and no resisting mentality is produced. The identity authentication method based on the mouse behaviors is more suitable for an existing operation environment, and mouse using opportunities are much larger than those of other human interface devices. Meanwhile, as a mouse is used in the whole operation process, continuous authentication can be conducted on the behaviors of the user.

The invention relates to an active distribution network energy-storage system dynamic planning method which studies active distribution networks which contain distributive photovoltaic and energy-storage systems. The method herein optimizes an output strategy of the energy-storage system on the basis of a bilevel programming model in combination with the shortest path theory so as to determine the installed capacity of the distributive photovoltaic and energy-storage system under the optimal output strategy of the energy-storage system. For the bilevel programming model, upper level programming determines the installed capacity of the distributive photovoltaic and energy-storage system with the minimum annual general fee of a power distribution network as the goal and generates a planning scheme, and the lower level planning optimizes the output strategy of the energy-storage system in one operation cycle and in one day with the minimum typical daily operation fee and load peak-valley difference of the power distribution network as the goal. Compared with prior art, according to the invention, the method herein can effectively improve operation characteristic of the active distribution network and optimization configuration of the distributive power supply and energy-storage system.

The invention discloses a catering and amusement management system and a special electronic menu and a self-help ordering method thereof. The internet-based catering and amusement management system comprises a remote data service unit, a remote application service unit, at least one catering and amusement shop operating unit and an access terminal unit, wherein the remote data service unit is used for the collective and concentrated storage of data from the units in the system; the remote application service unit is used for acquiring the data from the units, analyzing and processing the data collectively, distributing the data to the units and providing an internet-based catering management application service module; the at least one catering and amusement shop operating unit is used for the daily operation of a catering and amusement shop and the data interaction with the remote data service unit; and the access terminal unit is used for accessing the corresponding catering management application service module according to the right distributed by the remote application service unit. The system has high data safety, remote management, convenient and quick maintenance, low system maintenance cost and good augmentability, and can be simultaneously applied to the management of a plurality of catering and amusement shops with different brands.

The invention discloses a data storage method, comprising the following steps: the metadata information of data is provided, a filing task and/or a backup task of the data are/is formed according to the metadata information, the filing task and/or the backup task of the data are/is triggered, and the filing task and/or the backup task of the data are executed. The data storage method of the invention fully utilizes the action and advantage that the metadata can record the whole circulation process of the data, the filing task and/or the backup task of the data are/is formed according to the provided metadata information of the data, therefore, the online storage space using rate and the daily operation efficiency can be improved, the backup space and time is saved, the backup expense is reduced, and the visit of the filing and/or backup data is realized under the premise that the daily operation of the data storage system is not affected; in addition, the degree of automation of data storage is high and the data storage is not affected by manmade factors. The invention also discloses a data storage system.

The objective of the invention is to provide a community blockchain multi-mode link and intelligent processing system. The system achieves the communitization of blockchain through behavior transaction, enables blockchain to be unified in one account, prevents t blockchain transaction from being fragmented and disordered, and brings convenience to a consumer for daily operation. In order to solve the above technical problems, the technical scheme employs by the invention is that the system is characterized in that the system comprises an APP client, a blockchain node, and a communication node; the communication node is linked with the APP client, and sends a request sent by the APP client; the blockchain node receives the request sent by the APP client, and analyzes and obtains the data of the blockchain node, and transmits the data to the APP client for displaying; and the blockchain node generates a character code identification so that the APP client is connected with a block.

The invention discloses a power communication transmission network operation trend analysis method. The method is characterized by comprising the following steps: (1) real-time performance monitoring: monitoring the performance of network equipment in real time during transmission network daily operation monitoring; (2) performance trend and early warning analysis: entering a processing link when finding performance fault early warning, calculating the early warning index of monitored performance data according to an early warning algorithm, and grading the early warning according to predetermined levels of faults in aspects of importance, range and urgency; (3) maintenance strategy management: proposing an equipment maintenance strategy including the maintenance object, time, estimated root, influence scope, required resources and the like for different levels of early warning faults according to predetermined rules and further formulating a maintenance task suggestion; and (4) maintenance execution: assisting in forming a maintenance plan according to the maintenance strategy and completing on-site maintenance work according to the maintenance process.

The invention relates to a method for realizing operating state analysis and fault diagnosis of a photovoltaic array based on a density-based clustering algorithm. The method comprises the following steps: firstly collecting a plurality of electrical parameters of a maximum power point of a photovoltaic power generation array during daily work so as to obtain an electrical parameter sample combination per day; normalizing the electrical parameter samples so as to obtain a test sample combination; calculating the normalized test sample combination so as to obtain a distance matrix; automatically clustering the test samples by adopting the density-based clustering algorithm so as to obtain a plurality of clusters; respectively calculating the minimum distance between each group of reference data and each cluster based on reference data obtained by a simulation model in advance so as to form a distance vector; and finally, comparing each element in the distance vector with a cutoff distance in the clustering algorithm, and identifying a work type to which each cluster belongs. According to the method disclosed by the invention, accurate fault diagnosis can be directly realized by clustering the daily operation data of the photovoltaic system.

The invention provides a cloud education system facing pre-school children. The cloud education system at least comprises a cloud data center, a cloud education special purpose terminal, a parental related terminal, a background terminal and a resource supply terminal. The cloud data center is used for pushing resources of a specialist or a content provider to the cloud education special purpose terminal. The resource supply terminal is used for uploading the resources provided by the specialist or the content provider to the cloud data center. The parental related terminal is used for being communicated with the cloud data center. The cloud education special purpose terminal is used for downloading resources customized by the parental related terminal from the cloud data center and then feeding using resource data back to the cloud data center. The background terminal is used for performing daily operation and maintenance, resource integration and load balancing on the cloud data center. The cloud education system faces the pre-school children at all stages, provides three-dimensional education for the children, and promotes the educational effect through the mode and content which are dynamic, interactive and controllable and has instructions and feedback.

The invention provides an internet online education method and system, wherein the method comprises: acquiring information of online students which includes students' class information, information of a subject under learning and learning progress; acquiring students' learning plans according to the students' class information, the information of the subject under learning, and the learning progress, wherein the learning rules include daily operation arrangement, operation review and examination paper analysis; acquiring knowledge points in a database, and providing examination papers for students according the knowledge points so as to obtain examination results; adjusting the learning plans according to the examination results so as to obtain a new learning plan. The internet online education method and system provide target learning plans according to different conditions of different students, the learning plan is updated in real time according to the students' examination results, and students can be assisted in increasing the scores.

The invention relates to an electric power control system with simulation training function, and a simulation training method thereof. The system comprises a control host and controllers installed on electric power devices. The controllers are electrically connected with the control host; the control host is internally provided with an accident processing module, a daily operation module, and a basic knowledge and electric power equipment preventive experiment module. The method comprises the following steps: performing accurate three-dimensional modeling on the electric power devices in all transformer station chambers; performing format conversion on generated models, and then performing DOF node and LOD special efficacy node arrangement; rendering the models, and constructing scenes; representing the change of the states of the electric power devices by use of a texture switching technology; and determining and displaying fault situations of the electric power devices by use of knowledge rules in an expert knowledge base. Compared to the prior art, the system and the method, provided by the invention have the advantages of real-time performance, reduced work load of workers, simulation of power network accidents, convenient operation, and the like.

The invention discloses an indoor security system which comprises a monitoring host, an entrance and exit detection device, a human body motion detection device and an identity identification device. The monitoring host is respectively in bidirectional communication connection with the entrance and exit detection device, the human body motion detection device and the identity identification device. The invention further discloses an indoor security method. According to a system time intelligent switch fortification mode, the working state of the detection devices and the alarm state of the system are intelligently switched by detecting the activity state of indoor personnel. According to the invention, by comprehensively analyzing the indoor activity rule of the personnel, and by using identity identification, sub-time fortification and other means, an intelligent fortification and fortification withdrawing function without a remote control is realized; the disadvantage that a common security system needs frequent human intervention for the operations of fortification and fortification withdrawing is improved; the daily operation of using the system of a user is simplified; and the use convenience of the indoor security system is improved.

The invention discloses an RFID (Radio Frequency Identification) electric power asset entire life-cycle management system which comprises an RFID material object management master station platform, a hand-held mobile terminal, an external system and an RFID label attached on field asset equipment, wherein the external system and the hand-held mobile terminal are in data transmission connection with the RFID electric power asset entire life-cycle management system, respectively. The system realizes recording of information such as tasks, places, material objects and time involved in daily operation process of assets; the daily work is effectively supervised by the system, so that the daily management pressure of assets is reduced, lots of manpower and material resources annually invested in asset discovery and meaningless allocated cost are saved, loss of assets caused by various factors is voided, and the management benefit of enterprises is improved. Due to the implementation and application of the system, the workload and the error rate of manual recording and information transfer are eliminated thoroughly. Synchronous management on human, places, time and materials in asset management is realized.

The invention discloses a smart hotel system which comprises an intelligent robot platform and a database management system in network connection with the intelligent robot platform. Department connection of an original hotel management system is upgraded into connection among all employees of a hotel, a mobile processing line is constructed for hotel operation, and on the premise of fund control, workflow and article flow control are realized in daily operation of the hotel.

The invention discloses an analogue operation training system, and belongs to the field of cross-over studies coalescing a plurality of subjects such as an information technology, an automation technology and a machinery manufacturing technology. The analogue operation training system can be used for operation path planning before an operation and the daily operation training of a physician. Analogue operation software is developed, a brain model can be established according to magnetic resonance imaging (MRI) data, and a virtual operation can be performed based on the brain model in a computer virtual space; an operation operator is designed, and has six degrees of freedom, and the operating principle for the operation operator is the same as that of a ventriculoscope operating knife, so that real sense of operation is ensured; a field programmable gate array (FPGA)-based multi-path data acquisition system is designed, and can be used for acquiring six paths of coder data in real time, so that the system is high in real-time performance; and the system is high in brain model accuracy, real-time tracking performance, operation realism and automation degree and low in development cost.

The invention relates to a data storage system and method for monitoring operation of electric automobiles. The system comprises at least one pre-positioned data acquisition device and a data storage device, the pre-positioned data acquisition devices are arranged in a distributed mode and used for acquiring and storing vehicle data sent by vehicle-mounted terminals and data of power batteries on the automobiles; the data storage device is used for historically storing the data sent by all the pre-positioned data acquisition devices periodically and calling the corresponding vehicles and the historical data in a certain time period for postmortem analysis; the real-time data of the electric automobiles and the real-time data of the power batteries on the automobiles can be acquired, data sources are provided for real-time monitoring of conditions of the automobiles in the running process, meanwhile, the ream-time data are historically stored, and therefore when accidents and faults happen to the automobiles in the running process, the corresponding automobiles and the historical data in the time period can be called for postmortem analysis, and powerful support is provided for daily operation management and safety operation.

The invention discloses a time-varying-passenger-flow-driving type passenger flow matching and schedule adjustment method of the urban mass transit. Operation passenger flow data of an automatic faircollection (AFC) system are collected and arranged; the operation passenger flow data are distributed to a rail traffic network to obtain minute-based time-varying passenger flow OD data of all linesin the network as the input; the time-varying passenger flow OD data match an existing train working diagram; a matching state is determined and a congestion interval and an idle interval are analyzed; and compiling parameters of the operation diagram are modified and the train working diagram is updated. According to the invention, a coupled matching relationship between the time-varying passenger flow demand and the train supply is demonstrated essentially; an operation management problem of the urban mass transit in a super-crowding state is solved; and the waiting time of passengers at stops is shortened. With the programmed system, a decision-making plan is provided for the urban mass transit operation company for daily operation management, so that the operation service quality and the management level are improved.

The invention discloses an optimal scheduling model of a micro-energy grid with multi-energy storage under multi-time scales, which relates to the field of energy internet optimization operation. Themicro-energy network comprises three energy forms of electricity, heat and gas, including P2G equipment, a heat and power co-generation micro-combustion engine, an electric boiler, a gas boiler, an accumulator, a heat storage tank and a gas storage tank. The multi-time scale considers two time scales, one hour before the day and 15 minutes within the day. The process of establishing the optimal scheduling model of the micro-energy grid comprises the following steps: 1, determining the component parameters and the network parameters of the micro-energy network; 2, establishing an hour-level optimized dispatch model before that day of the micro-energy grid; 3, establishing a micro-energy grid intra-day 15-minute level optimal scheduling model. The invention effectively deals with the power fluctuation of the renewable energy and the load prediction error on the premise of ensuring the daily operation energy balance of each energy storage device, and improves the absorbing capacity of themicro-energy grid to the wind power and the photovoltaic.