59results about How to "Guaranteed enforceability" patented technology

The invention discloses a BIM project progress and cost management system based on an earned value theory. The system comprises steps of establishing a BIM building model based on design paper and adding an environmental factor simulating a construction field; collecting construction activity information and associating the construction activity information with corresponding engineering information in the BIM building model; comparing and analyzing the engineering amount of current real complete part and the engineering amount of a planned complete part on the basis of the earned value theory and determining whether a project progress lags, and determining whether project cost exceeds planned cost by comparing generated cost with current budget amount. The BIM project progress and cost management system based on the earned value theory is used in building projects, may clear the project progress and cost control case, may feed back the project progress and cost control state in a visualized way by using the BIM building model, and has a wide application prospect.

The invention discloses a generation plan optimizing method in an intermittent energy and conventional energy coordinated dispatching mode, belonging to the technical field of power system dispatching automation. To minimize the generation cost of the system, the coordinated dispatching of an intermittent energy unit and a conventional energy unit is comprehensively considered, and various constraint conditions are taken into consideration to optimize the generation plan of a computing group, thereby ensuring the safe access of intermittent energy such as wind power and the like, and being favorable for improving the intelligence level and decision making ability of the generation dispatching after the access of the intermittent energy. Meanwhile, the method has the characteristics of low computing strength and strong adaptability, and is more suitable for the popularization and application of the dispatching mechanisms with relatively high wind power access power in our country.

The invention provides an intelligent vehicle trajectory planning and tracking combined control method. The method comprises the following steps: parameterizing a road; establishing a transverse and longitudinal vehicle dynamic model; expanding a vehicle model, and forming a prediction model through linearization, discretization and incremental conversion; designing an objective function of a trajectory planning and tracking joint control problem according to a model prediction control method; obtaining a current vehicle state, and updating matrix parameters in the prediction model; establishing road boundary, driving stability and state quantity constraints according to the vehicle state and the predicted output state of the previous moment; and converting the problem into a quadratic programming problem form, solving an optimal control increment combination, and acting the optimal front wheel rotation angle [delta]* and the longitudinal control value D* on the autonomous vehicle. According to the invention, the combined processing of optimal driving line planning and control is realized, the complexity of an automatic driving module is reduced, the overall memory occupation and processing time are reduced, and the control stability of the automatic driving racing car is improved.

The invention discloses a joint optimized scheduling method for multiple types of generating sets of a self-supply power plant of an iron and steel enterprise, and belongs to the technical field of energy optimized scheduling of the iron and steel enterprise. Influence of fuel types and gas mixed burning amount on energy consumption of the sets is taken into consideration in construction of a set energy consumption characteristic model, fitting is performed under different gas mixed burning, and the accuracy and representativeness of the model are improved; and influence of the fuel cost, time-of-use power price and surplus gas dynamic change on the generating cost is considered comprehensively in construction of an optimized scheduling model, meanwhile, various constraint conditions including power balance constraint, generating set self-running constraint, purchased power quantity constraint, gas supply constraint, variable load rate limit and the like are considered, and the performability of a generation schedule is guaranteed. Optimization solution is performed on the models by adopting the adaptive particle swarm optimization algorithm, the problems of high dimensionality, nonconvexity, nonlinearity and multiple constraints of the power generation scheduling of the self-supply power plant can be well solved, power production optimization and purchasing rationalization are realized, surplus gas is sufficiently used, and the power supply cost is reduced to the greatest extent.

The invention discloses a local path planning algorithm for an unmanned vehicle. The algorithm comprises the following steps: inputting parameters required by local path planning; selecting a previewpoint; performing trajectory planning based on the road coordinate system to generate a basic trajectory; matching the basic track with a road shape to generate an alternative track; calculating a speed limit value based on the alternative track and a corresponding speed limit position; optimizing the alternative trajectories to obtain trajectories executed by the unmanned vehicle, called optimaltrajectories; and planning the speed of the unmanned vehicle based on the optimal trajectory. According to the local path planning algorithm, the planning failure in a complex road is avoided, the local path planning in the complex environment is simplified, and the driving behavior is close to the driving behavior of people. The algorithm can effectively process the influence of static obstacles,dynamic objects, traffic signal lamps, various traffic facilities of a speed limit belt and the like on the unmanned vehicle in real time in a complex urban road environment.

The invention belongs to the technical field of electric power system dispatching automation and relates to a water, fire and light combined optimization power generation scheduling optimization method considering security constraints. According to the water, fire and light combined optimization power generation scheduling optimization method, the objective of the method is to realize minimum power generation cost of a system; comprehensive considerations are given to coordinated scheduling of hydroelectric, thermal power and photovoltaic power generator sets; all kinds of constraint conditions are considered, such that optimal computation is performed power generation scheduling of the generator sets; safe access of new energy such as photovoltaic power generation power can be ensured; the improvement of intelligent level and decision making ability of power generation scheduling after the access of the new energy can be facilitated; and through interactive iteration solution of two sub-problems of optimization calculation and safety correction, the power generation scheduling of the hydroelectric, thermal power and photovoltaic power generator sets, which satisfy a requirement for network safety, can be obtained, and therefore, the performability of the power generation scheduling can be ensured. The water, fire and light combined optimization power generation scheduling optimization method considering security constraints of the invention is advantageous in low calculation strength and strong adaptability, and is more suitable for being popularized and applied to scheduling mechanisms of which photovoltaic power generation power access power is larger in China.

The invention discloses a supervision method and a supervision system for a block chain. The method is applied to a block chain system which comprises a supervisory node and a plurality of nodes, anda monitoring client and multiple clients. The method comprises the steps that when a transaction occurs, a supervisory node and other consensus nodes carry out consensus on the transaction, and the supervisory node is provided with a sponsored voting weight and an anti-voting weight larger than a threshold value in a configurable mode; when the supervisory node counts the transaction based on theresult of the audit transaction, the transaction does not pass the consensus; wherein the transaction audit comprises one or more of account audit, transaction content security and privacy audit, transaction content legality audit and transaction content compliance audit. According to the supervision method and the supervision system disclosed by the invention, the supervision nodes are added in the block chain system to supervise each node in the block chain and the transaction between the nodes, so that the purpose of comprehensively supervising the block chain to ensure the node informationsecurity is achieved.

The invention discloses a standby volume analytical method under a coordinating dispatch mode of batch-type energy and conventional energy. The method comprises the following five steps of calculating a standby past sample data region, obtaining similar cluster time intervals in a planed date, carrying out statics on a forecast output power deviation distribution of each time interval, obtaining a probability density function of the standby volume of wind energy, and calculating a rotation standby volume of a system under the coordinating dispatch mode of the batch-type energy and the conventional energy. With the adoption of the analytical method, according to a consideration of the coordinating dispatch of assembling units of the batch-type energy and the conventional energy, statics and analysis on data of past wind-power operation are carried out to form the current requirement on the rotation standby volume, safety guarantee is provided for the coordinating dispatch of the batch-type energy and the conventional energy, a reasonable standby volume is provided, and the realization of economical requirement on operation of a power system is facilitated. The method has the characteristics of low calculation intensity and strong adaptability, and is more suitable for popularization and application of connecting with dispatch mechanisms with larger power of wind power.

The invention discloses an auxiliary service and electric energy market sequential clearing method. The method comprises the following steps: establishing a 96-time safety constraint unit combinationmodel of an operation day; calculating a day-ahead startup unit combination in a 96-time period of the operation day under the minimum power purchase cost under the constraint condition of the safetyconstraint unit combination; according to the frequency modulation service sorting price of the day-ahead startup unit combination in the scheduling auxiliary service market and the standby auxiliaryservice price of the standby auxiliary service provider in the standby auxiliary service market, determining unit frequency modulation output in each time period and unit standby capacity in each timeperiod; further, a further approach is provided, under the constraint condition of safety constraint economic scheduling, calculating to obtain a 96-time period safety constraint economic dispatchingmodel of the operation day; therefore, the reserved capacity is provided for the frequency modulation auxiliary service and the standby auxiliary service in the day-ahead electric energy market clearing process, the performability of a clearing result of the day-ahead scheduling plan is guaranteed, and the day-ahead starting unit output plan is more suitable for the condition of the market starting stage.

The invention discloses an EFSM performable test sequence generating method based on a predicate dependency graph. According to the method, known performable parse tree methods are analyzed and improved, and the concept of guiding to generate a test sequence is added on the basis of an original method. According to the method, the dependency relation of transitions in an EFSM model is dug deeply, mutual influences of performability between visual display model transitions of the predicate dependency graph of the EFSM model are constructed, the searching process of performable parse trees is guided through quantification of transitions of performability prediction values, and accordingly the performable test sequence is guided and generated. The problem of state explosion can be effectively avoided, and generation stability of the test sequence is greatly improved.

The invention provides a power generation cost optimization method for an iron and steel enterprise, and belongs to the technical field of comprehensive power saving in iron and steel enterprises. The power generation cost optimization method comprises the following steps: a dispatching cycle T which needs power generation cost optimization is determined, and power generation cost optimization parameters of a set are acquired; a network cross section used for planning a current power generation schedule is acquired; fuel cost of the generator set under the condition of coal gas blending combustion in the cycle is determined; according to the energy consumption of the set of the iron and steel enterprise, external electricity purchasing cost and an external power transmission income physical truth, an optimized dispatching model which aims for the lowest power generation cost of a whole system is established; results of self-generating set output, externally purchased electricity, externally transmitted electric quantity and the like of the iron and steel enterprise are obtained according to an optimization solution. The power generation cost optimization method for the iron and steel enterprise has the advantages of being capable of meeting requirements for production loads, generator set output, line transmission capacity and the like, guaranteeing safe and reliable operation of a grid of the iron and steel enterprise, further optimizing and adjusting self-generating electricity output and a proportional relation between self-generated electricity and externally purchased electricity in combination with a load prediction curve and a production and repair schedule, and enabling the generation cost of the iron and steel enterprise to be the lowest.

The invention discloses a multi-disease integration exercise rehabilitation management system. The system comprises a server, a doctor terminal and a patient terminal. A multi-disease integration ruleis built in the server; a plurality of independent exercise test schemes and a plurality of exercise rehabilitation guidance schemes suitable for different single diseases are stored in the server; patient information is collected through the patient terminal; the server sends a corresponding integrated exercise test scheme according to the patient information and pushes an exercise rehabilitation guidance scheme simultaneously suitable for coexistence of various diseases according to feedback test results and the multi-disease integration rule; and the doctor terminal checks the exercise rehabilitation guidance scheme and confirms and sends the exercise rehabilitation guidance scheme to the corresponding patient terminal. The server can push proper exercise test according to the actual health condition of the patient and integrate a plurality of exercise rehabilitation guidance schemes suitable for different health conditions to generate the exercise rehabilitation guidance scheme meeting the actual condition of the patient, the exercise rehabilitation treatment effect can be improved, and meanwhile, the exercise rehabilitation safety is guaranteed.

The invention belongs to the technical field of dispatching automation of electric power systems and relates to an electricity generating schedule optimizing method considering a pump storage unit. Minimization of the electricity generating cost of the systems is taken as the target, coordinated dispatching of the pump storage unit and a conventional thermal electricity generating unit is comprehensively considered, various constraint conditions are considered for optimizing and calculating electricity generating schedules of the units, and the intelligence level and the decision-making ability of electricity generating dispatching after pumped storage is connected are improved helpfully. Meanwhile, the method has the advantages of being low in calculated strength and high in adaptability, and can be more suitable for being applied to and popularized in dispatching mechanisms, large in installed capacity, of the pump storage unit in our country.

The invention relates to a multi-energy virtual power plant operation parameter aggregation method based on robust correction, and belongs to the technical field of operation control of comprehensiveenergy systems. According to the method, the comprehensive energy system within a certain range is equivalent to a model similar to a generator, is connected with the power system through a tie line and participates in power system dispatching, and regulation and control of a power system dispatching center are facilitated. The multi-energy virtual power plant model formed by modeling comprises power baseline and power upper and lower limit constraints, energy upper and lower limit constraints and power variation upper and lower limit constraints, and the model ensures that any day-ahead scheduling plan issued by a power system scheduling center and meeting all constraints of the model can be realized by virtual power plant tracking. According to the method, it can be guaranteed that any power system dispatching plan within the model range can be followed by the multi-energy virtual power plant, so that the executability of the power system dispatching plan is guaranteed, and the method can be used in an actual power system and has good expandability.

The invention provides an anti-dynamic malicious API sequence generation method based on multiple generators AugGAN. According to the invention, a black box detector is inserted between a generator and a discriminator to carry out unsupervised learning on sample labeling; an interference-free API is selected from the corresponding interference-free API database by utilizing a plurality of generators; the selected non-interference API is randomly inserted into a malicious API sequence to generate an anti-dynamic malicious API sample; the adversarial samples and the benign samples are input intoa black box detector for classification and labeling; the adversarial samples, the benign samples and the corresponding labels are input into a discriminator for training, and gradient information isreturned; the generator and the discriminator update own parameters according to the returned gradient information; the continuous game of the generator and the discriminator improves the generationcapability and discrimination capability, and finally achieves a Nash equilibrium state. After the system is balanced, the generated anti-dynamic malicious API sequence can bypass the detection of a black box detector.

The invention discloses a fan short-term generated power prediction method. The fan short-term generated power prediction method comprises the following steps: firstly, reasonably pre-selecting parameters which have close influence on wind power output, denoising pre-selected original input data by adopting a complete set empirical mode decomposition algorithm and a correlation coefficient method,removing noise signals of which the correlation coefficient is lower than 0.1, carrying out refitting, and carrying out data reconstruction on denoised data to sequentially obtain previous moment data; adopting a decision tree method to perform feature selection on the input data, and eliminating data with importance lower than 0.9 to obtain final input data; and finally, giving a predicted valueby using a least square support vector machine algorithm. The fan short-term generated power prediction method provided by the invention combines a data denoising method and a data-driven modeling method to perform wind power prediction, and belongs to the field of clean energy power generation prediction. The fan short-term generated power prediction method provided by the invention has the advantages of simple steps and low calculation cost, and is suitable for actual prediction application.

The invention relates to a human anti-hepatitis B virus surface antibody as well as a preparation method and application thereof. A specific hepatitis B antibody with relatively high affinity activity on hepatitis B virus antigens can be obtained by virtue of antigen-antibody binding activity screening, wherein an amino acid sequence of a light chain variable region of the antibody is shown in SEQ ID No. 1 or SEQ ID No. 2, and an amino acid sequence of a heavy chain variable region of the antibody is shown in SEQ ID No. 3 or SEQ ID No. 4. According to the human anti-hepatitis B virus surface antibody disclosed by the invention, antibody mutation hot spots are analyzed by virtue of a protein molecule modeling technology and are subjected to saturation mutation by taking an amino acid as a unit so as to construct a mutant library and perform biological verification, and thus optimization of the antibody can be achieved. The human anti-hepatitis B virus surface antibody disclosed by the invention can be used for laying a foundation for preventing hepatitis B virus infection and performing treatment research at the same time, so that the human anti-hepatitis B virus surface antibody can be applied to the prevention and treatment of liver diseases caused by hepatitis B virus infection clinically.

The invention provides an unmanned control braking device, method and vehicle. The device comprises an unmanned braking line arranged between a vehicle braking main cylinder and an anti-locked braking system (ABS) hydraulic unit, an emergency braking line connected with a brake pedal, and an unmanned controller. The unmanned controller is used for enabling the unmanned braking line to work when unmanned normal braking is carried out and enabling the emergency braking line to work when unmanned emergency braking is carried out. The method comprises the steps that whether braking is normal braking or emergency braking in an unmanned state is judged; when braking is normal braking, the unmanned braking line works, and when braking is emergency braking, the emergency braking line works. According to the unmanned control braking device, method and vehicle, safety and reliability are achieved, and the performability, the maintainability and the safety of the unmanned technology are guaranteed.

The invention discloses a track planning method and device. The method comprises the steps of acquiring operation parameters of a vehicle; determining a planning equation of a first section of track corresponding to a process of rotating a steering wheel to a first angle; determining a planning equation of a second section of track corresponding to the process of keeping the first angle of the steering wheel unchanged; determining a planning equation of a third section of track corresponding to the process of aligning the steering wheel from the first angle; and based on the operation parameters, calculating and acquiring equation coefficients of the planning equations of the first section of track, the second section of track and the third section of track. According to the track planningmethod and device, an actual situation that a driver executes lane changing or turning operation is considered, and the track is divided into three sections to be planned respectively; and in addition, in the process, reasonability and executability of the planned track are ensured in combination with vehicle dynamic characteristics.

The invention discloses a quadruped robot motion planning method for a narrow environment. The method comprises the following steps: constructing a local point cloud map according to surrounding environment information detected by an airborne sensor of a quadruped robot, and converting the local point cloud map into a trafficability cost map containing environmental terrain information; determining a local target point of motion planning in a local range according to a global guide path input by an external global planner; based on a trafficability cost map and a local target point, planning a rough optimal collision-free path on the cost map by using a mass point model of the quadruped robot and using an A * algorithm; performing trajectory optimization on a motion dynamics model of the quadruped robot by using the rough optimal collision-free path to generate an effective motion trajectory meeting the motion dynamics constraint of the robot; a rolling time domain control strategy is used, and a motion control instruction of the quadruped robot is calculated through the effective motion trail; and judging whether the robot ends the execution track to reach the target position, if not, returning to the step 1 to repeat the whole process until completion.

The invention discloses a timing supply chain e-commerce final sales system and method. A final interface device is used for receiving and / or initiating the service request and sending and / or receiving the response information. A final reselling manager is used for pre-purchasing the goods of a distributor and reselling according to the transaction terms. A final order manager is used for receiving and processing final pre-sale orders through the final order manager, and generating sold inventory and to-be-sold inventory; signing for the pre-purchased commodities through the final distributor, carrying out distribution processing on the sold inventory commodities, and generating a final distribution plan. A spot-selling manager is used for publishing the currently expected stock commodities through the on-sale manager, and receiving and processing a final seller sales order. Therefore, pre-selling and on-site selling of commodities at a final point of sale are realized, pre-sold tailings are transferred to on-site selling, loss of the final link is reduced, and balance between pre-selling and on-site selling is achieved.

The invention discloses an FPGA device information processing method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a device information query instruction, entering a device display selection interface based on the device information query instruction, wherein the device display selection interface comprises a device information display area andat least two condition filters; Determining a target information item based on at least one to-be-selected information item corresponding to the pre-queried condition screener, and updating at least one to-be-selected information item corresponding to the post-queried condition screener according to the target information item; Determining information query data based on the target information items corresponding to all the condition filters; Querying a device information database based on the information query data, and obtaining target device information corresponding to the information query data; And displaying the target device information on the device information display area. The method can quickly and accurately obtain the information of the target device, is simple and easy to operate, and can reduce the inconvenience of user operation.

Disclosed is a distribution line and sales regionalization planning system and method thereof. A distribution line planner is used for managing and displaying distribution line information. A final point-of-sale planner is used for managing and displaying final point-of-sale distribution information. A coverage range manager used for managing and displaying the sales and distribution coverage range of the sales area. Therefore, planning and management of a sales area are realized, carpooling and shipping are performed on each line, the logistics efficiency is improved, and the logistics costis reduced.

The invention discloses a grid operation dispatcher and method, which comprises the following parts: operation submitting depicting language analysis mode, dispatching mode, information service obtaining mode, resource matching mode, POSIX operation dispatching mode and assignment execution operation mode, wherein the dispatching mode connects the resource matching mode, which connects the POSIX operation dispatching mode; the operation submitting depicting language analysis mode connects the operation management mode in the dispatching mode; the information service obtaining mode connects the resource obtaining mode in the dispatching mode; the resource matching mode connects the operation dispatching mode; the resource obtaining mode and operation dispatching mode connect the operation management mode simultaneously; the assignment execution operation mode connects the resource matching mode. The method guarantees the executable of the divided operation to realize the resource balance in the whole grid environment, which improves the disposal operation speed and quality.

Disclosed is a timing supply chain pre-selling system and method. Through a pre-selling information publisher, a pre-selling party publishes pre-selling commodity information based on upstream sellingcardinal number pre-purchasing commodities and / or according to the selling cardinal number of the pre-selling party, and manages customers participating in pre-selling based on receiving and delivering addresses through the pre-selling customer manager. Through the pre-purchase order manager, a client order is received according to the pre-sale period, and the pre-purchase order is generated, sothat multi-stage pre-sale management is realized, and various risks caused by spot sales are avoided.

The invention provides an optimization method and an optimization device for a phosphoric acid production process. The optimization method comprises the following steps: constructing a production unitmechanism model for each device of a semi-water reaction process, a primary solid-liquid separation process, a crystal form conversion process and a secondary solid-liquid separation process, constructing a full-process production operation optimization model under constraint conditions by taking the maximum economic benefit as an optimization target, taking the operation parameters as decision variables, and solving the optimization model to obtain an optimal decision variable, thereby fully exerting the potential of the existing production process, improving the overall economic benefit ofan enterprise, and having important practical significance for improving the production operation level of the whole process.

The invention discloses a distribution line planning and regionalization logistics system. By distributing a route planning device, the system is used for managing and displaying distribution line planning information. A sorting and transferring device is used for carrying out sorting and transferring processing on pre-sales orders of sales regionals,. A logistics scheduling device is used for receiving logistics demand information and starting logistics scheduling logic, and a carrier device is used for sending logistics carrier information, receiving and confirming scheduling information andsigning for article delivery information; and therefore, efficient and low-cost multi-stage substation transfer of the articles is realized.

The invention discloses an advanced plan scheduling system based on finished vehicle production. The system comprises an order subsystem, an APS subsystem and a production control subsystem; the order subsystemreceives externally input order information, generates a prediction order and a real order, transmits the prediction order and the real order to the APS subsystem, and receives a prediction order vehicle order plan scheduling table and a real order vehicle order plan scheduling table returned by the APS subsystem; the APS subsystem is used for receiving the prediction order and the real order sent by the order subsystem, generating a prediction order vehicle order plan production scheduling table and a real order vehicle order plan production scheduling table, sending the prediction order vehicle order plan production scheduling table and the real order vehicle order plan production scheduling table to the order subsystem, and sending the real order vehicle order plan scheduling table to a production control subsystem; and the production control subsystem is used for receiving the real order vehicle order plan production scheduling table sent by the APS subsystem and carrying out vehicle order production planning according to the real order vehicle order plan production scheduling table. According to the invention, one-key scheduling can be realized, and the compiling time can be shortened to about 1 / 10 of the original compiling time.

The invention provides a power generation cost optimization method for an iron and steel enterprise, and belongs to the technical field of comprehensive power saving in iron and steel enterprises. The power generation cost optimization method comprises the following steps: a dispatching cycle T which needs power generation cost optimization is determined, and power generation cost optimization parameters of a set are acquired; a network cross section used for planning a current power generation schedule is acquired; fuel cost of the generator set under the condition of coal gas blending combustion in the cycle is determined; according to the energy consumption of the set of the iron and steel enterprise, external electricity purchasing cost and an external power transmission income physical truth, an optimized dispatching model which aims for the lowest power generation cost of a whole system is established; results of self-generating set output, externally purchased electricity, externally transmitted electric quantity and the like of the iron and steel enterprise are obtained according to an optimization solution. The power generation cost optimization method for the iron and steel enterprise has the advantages of being capable of meeting requirements for production loads, generator set output, line transmission capacity and the like, guaranteeing safe and reliable operation of a grid of the iron and steel enterprise, further optimizing and adjusting self-generating electricity output and a proportional relation between self-generated electricity and externally purchased electricity in combination with a load prediction curve and a production and repair schedule, and enabling the generation cost of the iron and steel enterprise to be the lowest.

The invention relates to a path planning method for an unmanned vehicle based on a flow field, which includes the following steps: establishing a flow field calculation model according to the starting point and end point of the vehicle and obstacles in the environment; The vehicle kinematics model is established as the state quantity; the vehicle kinematics model is used as the rolling equation to solve the rolling time-domain optimization problem of the flow field, and the velocity vector distribution of the flow field is used as the guiding information for path planning to obtain the planned path. is the front wheel angle, the optimization objective includes the consistency between the vehicle motion and the flow field motion and the vehicle does not collide with obstacles during the motion process, and the constraint condition is that the front wheel angle does not exceed the maximum steering wheel angle. Compared with the prior art, the present invention can find a smooth and obstacle-avoiding path connecting the start point and the end point in complex terrain. On the premise of obstacle avoidance, the smoothness and completeness of the path achieve good results at the same time.