380 results about "Safety constraints" patented technology

A supervisory safety-control system is implemented by dividing a mine's territory into zones of free operation ("permission zones") wherein a vehicle is allowed to move according to predetermined permission parameters but unhindered by other system constraints. Traffic of autonomous vehicles in each permission zone is controlled by the supervisory system in conjunction with and in addition to conventional safety constraints associated with the guidance system that effects the vehicle's tracking of predetermined trajectories. Permission zones are assigned and activated using criteria that ensure the vehicle will remain entirely within active zones so long as the vehicle acts within such predetermined permission parameters. Each permission zone is also associated with a maximum velocity profile that overrides guidance-system safety controls, if necessary, and ensures stoppage of the vehicle at the end of the permission zone.

The invention discloses a multiple obstacle-avoidance control method of an unmanned plane used for electric wire inspection. The multiple obstacle-avoidance control method of the unmanned plane used for the electric wire inspection comprises an unmanned plane subsystem and a ground station subsystem. The unmanned plane subsystem comprises an embedded flight control device, a position detection module, an information processing module and an airborne terminal of a wireless data chain. The position detection module comprises a global navigation satellite system (GNSS) receiver, an electromagnetic field sensor and ultrasonic ranging sensors, wherein the ultrasonic ranging sensors are symmetrically arranged on the periphery of a machine body of the unmanned plane. The ground station subsystem comprises a ground terminal of the wireless data chain and an embedded supervisory control computer. The embedded supervisory control computer is loaded with a data base, wherein the data base contains an electric transmission line electromagnetic field distribution model and an electric transmission line space three-dimensional model. According to the multiple obstacle-avoidance control method of the unmanned plane used for the electric wire inspection, a security constraint area for the operation of the unmanned plane is built, the information processing module is adopted for integration of unmanned plane position information provided by an information detection module, relative distance between the unmanned plane and an electric transmission line is detected, and multiple obstacle-avoidance of the unmanned plane used for the electric wire inspection is achieved.

The present invention relates to a power system and provides a method for considering the network security constraints of in the operation of economic dispatch of power systems, which comprises the power flow constraint of branches, the static voltage stability constraint and the transient stability constraint, and provides an effective way for coordinating contradiction between the economy and security of power system operation. The security region based security-constrained economic dispatching method comprises the following steps: step 1, calculating the coefficients for the active power static security region, the cut-set voltage stability region and the dynamic security region respectively; step 2: building the models for security region based security-constrained economic dispatch; step 3: solving the unit on / off state optimal sub-problem through Social Evolutionary Programming; step 4: calculating the generation cost, the static voltage stability margin and the transient stability margin in the dispatching period; step 5: obtaining a feasible economic dispatching scheme, otherwise, return to step 3. The invention is mainly applied in load dispatching optimization.

In general, embodiments of the present invention provide an approach for providing a multi-tenant / customer partition group separator and securer in a shared cloud infrastructure (e.g., as an extension to DB2®, Label-Based Access Control (LBAC), and / or an independent tool). Among other things, embodiments of the present invention provide cloud administrators with an easy to use customizable, configurable security constraint builder / tool with a built-in multi-tenant / customer enabled security model. Moreover, embodiments of the present invention enable cloud administrators to set up, configure, and manage tenants / customers and their private shards with their own security constraints. The output of this tool greatly eases the time to create an invisible (e.g., software) wall of separation for multiple tenants / customers in a shared cloud infrastructure.

Methods are provided that enable dispatchers in power grid control centers to manage changes. A comprehensive operating plan is provided with multiple, security constrained economic dispatch engines 1, 2 and 3. The scheduler engines are security constrained unit commitments and economic dispatch sequences with different look-ahead periods. The comprehensive operation plan is configured to integrate scheduler engines into a unified scheduling system. The comprehensive operating plan includes a repository of all operating plans in a multi-stage decision process.

A method for security planning with soft security constraints, include: receiving security-related requirements of a workflow to be developed using system inputs and processing components; and generating at least one proposed workflow according to the security-related requirements, wherein the at least one proposed workflow satisfies soft constraints.

A network controller within a femtocell may be operable to control communication of data among devices within a communication system comprising the femtocell and one or more other femtocells, end-point devices, base stations and / or access points and with devices external to the communication system. The network controller may receive and / or analyze status, measurements and / or operating constraints of one or more of the devices. Quality of service constraints, latency constraints, data type constraints and / or security constraints for communication of the data may be determined. The network controller may allocate physical and / or logical resources, may control security and / or quality of service and / or may allocate bandwidth for the communication of the data. The network controller may assign one or more of the devices comprised by the communication system to handle the communication of the data. The data may be communicated via wired, optical and / or wireless interfaces.

The invention relates to an intelligent electric vehicle path tracking model prediction control method, belonging to the technical field of control. The aim of the invention is to adopt the intelligent electric vehicle path tracking model prediction control method, wherein the model prediction control method can take account of the safety constraints of a whole vehicle simultaneously and realizeseclectic optimization among vehicle path tracking performance, safety and whole vehicle performance effectively. The method gives thought to intelligent electric vehicle path tracking model building in limited conditions and yaw stabilization controller design based on model prediction control as well as the tracking performance of the vehicle, the safety of the vehicle, the whole vehicle performance, driving comfort and saving and control of energy in the process of carrying out control strategy deduction, and improves the dynamic performance of the whole vehicle. The method gives thought tothe tracking performance of the vehicle (path following and speed following), the safety of the vehicle (preventing slipping, locking, sideward inclining or drifting), the whole vehicle performance (accelerating and braking performance), driving comfort (the change of torque cannot be too great) and saving and control of energy (saving energy on the premise of meeting the performance). The dynamicperformance of the whole vehicle is improved.

The invention discloses a charge and discharge optimizing method considering customer satisfaction and distribution network safety for an electric automobile, and particular relates to a multi-objective bilevel charge and discharge optimizing method considering the customer satisfaction and network distribution safety constraint for the electric automobile. The multi-objective bilevel charge and discharge optimizing method is suitable for scheduling and controlling of network entry of large-scale electric automobiles. Based on the consideration of distribution network purchase and selling electricity price and electricity purchase cost, distribution network load fluctuation, customer charge demand, satisfaction participation of charge scheduling and the like, the invention provides a charge bilevel scheduling model for the electric automobile in the distribution network by using minimum electricity purchase cost and minimum load fluctuation of the distribution network as well as maximum satisfaction that the customer participates in charge scheduling as objects, and an NSGA-II algorithm and a Yalmip / Cplex tool are adopted for solving; electricity purchase cost and net load fluctuation of the distribution network is minimized by a distribution network layer, so operation economy of the distribution network is improved; a charging station layer is matched with the distribution network layer for scheduling; the satisfaction that the customer participates in charge and discharge scheduling is improved by adopting a two-stage optimizing method.

The invention discloses a micro-grid capacity programming method meeting a coupling type electric cold and heat demand, comprising: establishing a micro-grid capacity energy supply device capacity programming model meeting a coupling type electric cold and heat demand, and a micro-grid capacity energy supply device optimum capacity programming calculation method based on the multi-target particle swarm technology. According to the mode, the method solves the problem that a current programmed micro-grid needs to simultaneously provide power supply and cool supply (or heat supply) for users, and the problem of capacity optimum allocation among different energy supply devices when a coupling relation exists between electric cold supply and electric heat supply. The model realizes multi-target optimization under the condition of considering engineering, economy and security constraints of micro-grid energy supply devices.

The invention discloses an optimized scheduling method for a wind-solar storage hybrid system. A wind-solar output power reference value is set and day-ahead prediction output curves and load prediction curves of wind power and photovoltaic energy are obtained; a wind-solar storage energy output curve as well as an operation mode of an energy storage device are determined; a multi-objective optimization scheduling model is established by taking intra-day operation cost minimization of system scheduling as an optimization objective; and then an input load prediction curve, a wind-solar storageenergy output curve and the operation mode of the energy storage device are inputted, and the optimization scheduling model is calculated by using an improved particle swarm optimization algorithm toobtain a day-ahead set combination output curve. According to the invention, with utilization of the complementary characteristic and frequency modulation capability of the wind-solar energy, the frequency regulation pressures of the energy storage device and the conventional energy set are reduced; and with consideration of the frequency safety constraint, the optimal operation mode of the wind-solar storage hybrid energy system is determined, so that the economic and security of the operation of the hybrid energy system are improved.

A system and method for notifying primary and second drivers about a status of a safety restraint in a vehicle is provided. A primary and secondary keys are adapted to be associated to the primary and secondary drivers. A key ignition device is positioned on each of the primary key and secondary keys. The key ignition device is adapted to generate driver status signals indicative of whether the driver the primary driver or the secondary driver. A controller is adapted to determine whether the driver of the vehicle is the primary driver or the secondary driver based on the driver status signals. The controller is further adapted to generate restraint status signals indicative of the status of the safety restraint. The controller is further adapted to selectively control the operation of generating the restraint signals based on whether the driver of the vehicle is the primary or secondary driver.

The invention discloses an automatic driving lane changing preparation and execution integrated trajectory planning method. The method comprises the following steps: establishing a motion trajectory model of a lane changing vehicle in a lane changing preparation process; introducing a cubic polynomial to establish a trajectory equation of the lane changing vehicle in a lane changing execution process; establishing a safe distance model and a safe speed model in the lane changing preparation and lane changing execution processes; and establishing an integrated trajectory optimization model, andoptimizing the time and the acceleration in the lane changing preparation and execution processes to obtain a most trajectory meeting safety, efficiency and comfort requirements. An integrated lane changing trajectory set is established according to the vehicle motion characteristics, a safe lane changing trajectory set meeting lane changing safety requirements is chosen by using safety constraints, and finally the trajectories are optimized by considering the lane changing comfort and efficiency to obtain the optimal integrated trajectory meeting safety, comfort and efficiency requirements.The optimal lane changing trajectory planned in the invention has a high service level, and ensures that passengers have high comfort experiences and high efficiency experiences.

A vehicle crash safety system includes a pre-crash sensing system generating an object threat assessment and vehicle dynamics data, an occupant sensing system generating occupant characteristic data, and an Occupant Safety Reference Model (OSRM) controller for generating a reference safety restraint deployment profile as a function of the object threat assessment, vehicle dynamics data and occupant characteristic data. An active restraint adaptation (ARA) controller in operative communication with the OSRM controller and a decentralized restraint controller. The ARA controller sends restraint deployment targets, and the safety restraint deployment profile to the decentralized restraint controller. The ARA controller may modify input signals to the decentralized controller based on the real-time occupant position trajectory. The decentralized restraint controller is adapted to operate the restraint system as a function of signals from the ARA controller and real-time occupant-restraint system interactions.

The invention discloses a coordination AGC (Automatic Generation Control) control method of an interconnected network, comprising the following steps of: providing a unified coordination AGC control method of an interconnected network for rapid development of power generation in China and the requirement of access consumption; making specific technical requirements on the control body, balance manner, adjustment resource, safety restriction and communication transmission of AGC control between the interconnected network areas; providing two specific realizing methods for unified coordination control, i.e., the control mode of total network single machine and the control mode of dispatching equivalence; and describing the area modeling, data uploading, calculating distribution, instruction issuing, and the like in the dispatching coordination control. The invention makes full use of various adjusting resources and consumes the impact triggered by wind power wave in the range of the total network, thereby improving the recovery ability of the electrical network for resisting the wind power fault power deficiency and further effectively exerting the potentiality of AGC coordination control of the total network.

The invention relates to the energy saving technology field, in particular to a multi-constraint rule based thermal power plant load optimal allocation method which comprises the following steps of: 1) building a configurable input parameter table; 2) building a coal consumption characteristic curve; 3) performing the load tendency prediction; 4) guaranteeing the safety constraint rules; 5) implementing the rapid constraint rules; 6) optimizing the economy constraint rules; 7) implementing the dynamic programming method under multi-constraint rules. The invention mainly aims to the power plants provided with at least two thermal power generating units, assists in shift supervisors perform the load maximizing and adjusting, and has the advantages of reducing equipment consumption and coal consumption, and improving performing economy.

The invention discloses a day-ahead market clearing method, system and device and a computer readable storage medium. The day-ahead market clearing method comprises the steps of obtaining a day-aheadmarket clearing model comprising a target function and a constraint condition by building a target function taking minimum system running cost as a target and the constraint condition comprising machine set running constraint, calculating a initial machine set starting and stopping plan by the day-ahead market clearing model, calculating locational marginal price by the initial machine set starting and stopping plan, a safety constraint economic dispatching target function and the constraint condition, obtaining a correction declaration load more approaching to actual user load demand by the locational marginal price, and substituting the correction declaration load back to the day-ahead market clearing model so as to correct the constraint condition in the day-ahead market clearing modelto obtain a correction constraint condition. By the day-ahead market clearing method, an elastic machine set contribution plan and an elastic machine set starting and stopping plan which are more approach to the actual load demand can be obtained, so that the problems that the start-up capacity is not enough and circuit power flow exceeds a limit during system running are prevented.

The invention discloses a wind power penetration optimization evaluation method based on SCED. The method comprises the following steps: based on a physical model and an economic model of an evaluation power grid and under a condition of knowing a turn on / turn off scheme of a routine unit, establishing a safety constraint economy scheduling model; taking a wind power station in an area as a concrete evaluation target, setting an optimization object of the safety constraint economy scheduling model to be a maximized total wind power output and acquiring an optimization model of wind power penetration evaluation; linearizing non-linear factors in the evaluation model; solving the evaluation model by adopting a linear programming method, calculating an active curve of the accepted wind powerin the research area, acquiring a wind power penetration ability of the power grid and acquiring a maximized grid-connected generation capacity of the each wind power station in an evaluation period.By using the method of the invention, carrying out precontrol to a risk of accessing large scale wind power into the power grid can be easily achieved, and security of power grid operation can be raised.

The present invention discloses a method for upgrading a smart contract in a blockchain system. The method comprises the following steps: A. at a language level, enabling a contract to directly read and write state variables in another contract under the premise of complying with security constraints, and when the code is running, providing a separate storage area for the state variables through the nebula chain virtual machine NVM for direct access by other contracts; B. providing a shared keyword at the language level, wherein the state variables modified by using the keyword can be accessedby other contracts; and C. translating the shared keyword defined by the language level into a pre-defined completed function by the corresponding compiler front end, and generating the underlying virtual machine LLVM byte code. According to the upgrade mechanism provided by the upgrade method of the present invention, the security of the smart contract can be ensured while solving the smart contract upgrade problem.

A media processing device, such as a set top box, having a plurality of selectable hardware and software components for supporting multiple media pathways providing differing levels of security. In general, each security level corresponds to a particular certification service boundary definition(s) or key / authentication and security management scheme for managing resources such as hardware acceleration blocks and software interfaces. Different sets of components may be adaptively employed to ensure composited compliance with one or more security constraints and to address component unavailability. Security constraints may be applied, for example, on a source or media specific basis, and different versions of a media item may be provided over multiple pathways providing corresponding levels of security. In one embodiment, a service operator or content provider may provide requisite certification or security requirements, or otherwise assist in selection of pathway components.

The invention discloses a power grid safety optimization dispatching method considering demand response. The method comprises the following steps: establishing a dynamic excitation compensation mechanism, and carrying out modeling on demand response behaviors of a user according to load shedding and transfer features; establishing a calculation model of power grid reliability index loss-of-load probability and expected energy not supplied; converting a reliability index into an economic index and integrating the index into an objective function, and establishing a day-ahead economic dispatch model with the total operation cost minimum being as an objective; establishing constraint conditions to enable an electric power system to meet system constraints, unit constraints and security constraints; and carrying out solving through calculation software to obtain an optimal day-ahead economic dispatch result. The demand response and reliability index are integrated into day-ahead dispatching of the electric power system, and the optimal dispatching model considering dynamic excitation compensation and expected power failure loss is established, thereby coordinately solving the problem of unit commitment of a generation power side and the problem of supply-demand interaction of a demand side and realizing economy and security of operation of a power grid.

The invention discloses an annual power generation plan rolled decomposition optimization method taking balance between plan finishing rate and load rate into consideration; the method comprises the following steps: (1) determining a plan period and a plan parameter requiring the annual power generation plan rolled decomposition optimization; (2) establishing a security constraint machine set combined optimization model applicable to the annual power generation plan rolled decomposition; (3) using a mixed integer linear planning algorithm to calculate start and stop states, the plan load rate and the peak and valley active outputs of the machine set at each plan period; (4) implementing the security check, judging if all security constraints are satisfied; if all the security constraints are satisfied, going to step (5); if not all the security constraints are satisfied, adding a new out-of-limit element, and calculating sensitivity information of the newly added out-of-limit element, going to step (2). The disclosed method circularly optimizes and drafts the machine set start and stop plan as well as the machine set average plan load rate, drafts monthly, weekly and daily power generation amount plans of the power plant; the disclosed method ensures the execution of the annual power generation amount plant, and achieves the purpose of saving energy and reducing emission.

The invention discloses a cooperative optimization and control method for a mixed traffic flow of an expressway. The cooperative optimization and control method for the mixed traffic flow of the expressway is applied to vehicle optimal control under a merging scene of a ramp of the expressway. The cooperative optimization and control method for the mixed traffic flow of the expressway comprises the steps of predicting a vehicle track by using a microscopic vehicle following model; determining an optimization and control target vehicle; determining an optimization track section of a controllable vehicle; controlling a decision point and an admissible state set under each time; and carrying out optimization and control on the vehicle track. The cooperative optimization and control method forthe mixed traffic flow of the expressway has the beneficial effects that a microscopic traffic flow simulation environment based on the microscopic vehicle following model is established, and trafficeffects of different traffic states and different automatic driving vehicle permeability are analyzed; a brand-new cooperative merging model is proposed on the basis of the microscopic following model, traffic characteristics, geometric constraint and security constraint of the expressway are considered, and a cooperative merging problem is concluded into an optimization and control problem aboutdiscrete time state constraint; and a solving method based on dynamic programming is proposed to effectively solve the problem.

The invention discloses a self-driving vehicle self-adaptive lane changing track planning method. Firstly, a section of longitudinal lane changing track is added before an original lane changing track, a vehicle is allowed to adjust own speed and the relative position between the vehicle and a target lane on the longitudinal track, then, transverse lane changing movement is carried out, and the safety and the efficiency of lane change of the current vehicle are guaranteed; secondly, a lane changing return track is added in the model; considering that when the lane changing condition of the vehicle does not meet the safety constraint in the lane changing process, a track for the vehicle to return to the current lane is planned; and thirdly, a new vehicle lane change collision avoidance algorithm is introduced into the model, according to the influence of the change of the body posture of the self-driving vehicle on the safety in the lane changing process, the concept of a vehicle conflict area is further provided, and the safety constraint after the vehicle completes lane change is guaranteed. Compared with the prior art, the method has the advantages that automatic adjustment of the self-driving vehicle to the change of the traffic environment in the lane changing process is achieved, and the lane changing efficiency and safety are improved.

The invention discloses a clearing method of an electric power market. At first, a security constraint unit combination model is established according to the data of a power system, a unit start-stopplan is obtained by solving the security constraint unit combination model, and, according to the output and price application of the day-ahead start-up units in the FM market in the unit start-stop plan, after clearing, the pre-clearing result of the FM auxiliary market is calculated, so that the clearing of FM auxiliary market is realized. The upper and lower output limits of the pre-clearing unit are corrected according to the pre-clearing result, and, based on the modified upper and lower output limits, a security constraint economic dispatching model is established. The day-ahead unit output plan is obtained by solving the model, which realizes the day-ahead power market clearing, and the day-ahead power generation plan which is closer to reality is obtained by reserving the system FMunit capacity, so as to prevent the mismatch between the clearing result and the actual demand of the system and ensure the executability of the clearing result of the day-ahead dispatching plan. Theinvention also discloses a clearing device and clearing equipment of an electric power market, which have the beneficial effects mentioned above.

A system consistent with the present invention enables a program in a distributed system to determine whether downloaded code is trustworthy before using the downloaded code to communicate with other programs or services in the distributed system. A client that downloads proxy code from a service can verify that both the service and the downloaded code are trustworthy before using the code to communicate with the service. “Trustworthy” code is code the client knows will enforce the client's security constraints in communicating with the service, e.g., mutual authentication, confidentiality, and integrity.

The invention discloses a multi-cycle generation scheduling coordinated optimization and closed-loop control method which comprises the following steps that first, a monthly generation schedule is made; second, a day-ahead generation schedule is made; third, an intra-day rolling schedule is made; fourth, AGC determines units which only bear basic power through unit classification, and the units which only bear basic power track the intra-day rolling schedule to achieve closed-loop control; fifth, actual operation data of the units are fed back to the monthly generation schedule, and the monthly generation schedule is corrected in a rolling mode. The multi-cycle generation scheduling coordinated optimization and closed-loop control method for the operation plan field is achieved, overall resource optimized allocation and safety constrained control on a longer time dimension are achieved, and the scheduling target for impartiality and openness plus energy conservation at the same time is achieved.