50results about How to "Reasonable response" patented technology

A pure electric automatic driving system provided by the present invention comprises an environmental information acquisition system, a perception fusion unit, an intelligent decision unit, a vehiclemotion coordination controller and a vehicle execution system which are connected orderly, wherein the intelligent decision unit outputs the local paths that a vehicle can drive and the correspondingdriving behavior instructions to the vehicle motion coordination controller, and the vehicle motion coordination controller realizes the transverse motion control and the longitudinal motion control of the vehicle, so that the automatic driving system is modular in function division and normalized in information interfaces, the application scenes of the automatic driving functions are helpful to be expanded, and the riding safety experiences of the automatic driving vehicles, for example, the safe and comfortable automatic driving at a faster vehicle speed and on a faulted working condition, are improved. In addition, the vehicle motion coordination controller monitors the real-time state of the whole automatic driving system, so that the fault states can be identified timely, the reasonable countermeasures can be made, and the driving safety of the automatic driving under various states is guaranteed.

The invention discloses an association analysis method and an association analysis system for massive logs to evaluate the current network security condition and describe the attack condition which is paid most attention currently according to the massive logs generated by an intrusion detecting device. The method comprises the following steps: acquiring the logs of the intrusion detecting device, and judging whether a large-scale network security event exists or not by calculating the distribution condition of source addresses and destination addresses of the logs of the intrusion detecting device; merging the logs of the intrusion detecting device according to the source addresses, the destination addresses and event types, and detecting and reporting abnormal addresses and hot events; counting and displaying a propagation process of the hot events in a specific time period through graphics; and associating output results, and giving comprehensive evaluation on the current network security condition. The system comprises an entropy module unit, a triple module unit, a hot event propagation display module unit, and a comprehensive association analysis module unit.

The invention discloses an insulator fault detection method based on machine vision. The method comprises the following steps: preprocessing a to-be-processed image; detecting the edge of the insulator; extracting effective edges by using a machine learning classification method; and determining a fault by detecting the shape characteristics of the insulator area and the edge, and carrying out fault rating. According to the method, fault detection can be effectively carried out on the catenary insulator, the calculation amount of the algorithm is small, the effective insulator edge is screened out in a targeted mode through the decision tree algorithm, and therefore various noise interferences are avoided, and the fault detection accuracy is guaranteed. The omission factor is 1.4% or below, the fault detection accuracy is 98% or above, and the actual engineering requirements are met. The invention particularly provides a feasible scheme for machine vision-based fault detection with insufficient negative samples, provides an index for judging the fault level, and is helpful for making reasonable response to consideration of factors of comprehensive safety and economy in engineering.

The invention discloses a synthesis of an addition reaction which uses accelerant to catalyze alkali and hydrogen sulfide in order to synthesize relevant thioamide compounds by high yield. The concrete things are thioacetamide, propanethioamide, thioisonicotinamide, thiobenzamide, 2-cyanothioacetamide, 4-chlorphenylthioacetamide, 4-methylthiobenzamide. The process of this invention is: dissolving nitrile in a suitable organic solvent, adding alkali solution and phase transfer catalyst, mixing adequately to homogeneous phase, then importing hydrogen sulfide until the reaction end and getting thioamide.

The invention discloses a grassland ecological data monitoring and intelligent decision-making integrated solution system, which comprises an ecological environment data acquisition module, a target area video data acquisition module, a sensor module, a data processing module and a cloud service platform module, the system can establish a cloud ecological database for a large-scale grassland ecological environment in a short time, and can perform a series of scientific analysis and decision-making on the ecological state of a target area from multiple dimensions in combination with big data and artificial intelligence application, including plant variety identification, ecological disaster early warning and plant disease and insect pest degree analysis. A user can take reasonable improvement measures while fully knowing the ecological state of the target area, valuable scientific research data is provided for scientific research personnel, and powerful technical support is formed for restoration and protection of the grassland ecological environment.

The invention discloses a medical monitoring system and a monitoring method. The monitoring system comprises collection equipment, a computer and a monitoring center, wherein the collection equipment is used for measuring and recording related physiological parameters of a person monitored, the collection equipment is in communication with the computer in a wireless manner or a wired manner, the computer is in communication with the monitoring center through the Internet, the monitoring center is used for analyzing the related physiological parameters, so as to obtain a first analyzing result that whether warning is required to be performed or not, and warning is performed under the condition that the first analyzing result displays that warning is required to be performed. According to the invention, monitoring data send by the computer is received through an Internet, and the monitoring data comprises the related physiological parameters of the person monitored.

The invention discloses a building deformation monitoring and collapse early warning system. The system comprises a building structure displacement detection unit and an early warning control unit. The building structure displacement detection unit comprises a first detection unit, which is used to detect displacement and/or speed of a measured point of a building. The first detection unit comprises at least one long distance detection component, which is used to acquire the displacement and/or speed changing process of the at least one measured point. The early warning control unit is used for early warning control according to the measurement result of the displacement detection unit. The building deformation monitoring and collapse early warning system is used to realize the remote non-contact, accurate monitoring of the deformation of the building, and is used to realize the timely and accurate early warning according to monitored building deformation data.

The invention discloses a software product evaluation processing method and device, computer equipment and a storage medium. The method comprises the following steps: creating a target comment group based on an instant messaging tool, and obtaining target comment data and corresponding comment time; if the target comment data does not carry the task identifier, performing keyword extraction by adopting a keyword extraction algorithm to obtain a target keyword; according to the target keyword and the comment time, determining a question keyword; performing frequency statistics on the problem keywords in the comment statistics period corresponding to the current time of the system to obtain occurrence frequency; if the occurrence frequency is greater than a preset frequency threshold, determining a high-frequency keyword and a corresponding high-frequency problem; carrying out priority analysis on the high-frequency problem to obtain a target priority; and querying the comment response mechanism information table based on the target priority, obtaining a corresponding comment response mechanism, and performing response processing on the high-frequency problem based on the comment response mechanism. The method can improve the software product evaluation efficiency and reduce the cost.

The invention discloses a bracelet based on a BLE positioning technique. The bracelet comprises a bracelet belt and a bracelet main body arranged on the bracelet belt, wherein a BLE communication module, a sensor, a control unit and an executor are arranged in the bracelet main body; the BLE communication module is used for communicating with an external device; the sensor is used for sending the collected information to the BLE communication module; the control unit is used for receiving a control signal of the external device and controlling the executor to start. The invention has the beneficial effects that the manager can quickly perform real-time Bluetooth positioning on a bracelet wearer; a BLE communication mode is applied to the bracelet; the power consumption of the bracelet is low; the standby time is longer.

The invention discloses a synthesis method of tetrahydrofurfuryl alcohol polyoxyethylene ether, and is characterized by comprising the following steps: 1) using water and ethanol contained agent which is commercially available as a dissolvent, using tetrahydrofurfuryl alcohol as a raw material, and adding a catalyst to perform reactions of dealcoholization and dehydration; 2) taking epoxyethane as a chain extender, performing reaction, and preparing tetrahydrofurfuryl alcohol polyoxyethylene ether. The tetrahydrofurfuryl alcohol polyoxyethylene ether synthesized by the method is high in content, good in color quality, and low in residue of tetrahydrofurfuryl alcohol, as well as content of by-product carbowax or polyethylene glycol monomethyl ether.

The invention is applicable to the technical field of electric power operation and maintenance, and provides an overhead line lightning protection efficiency evaluation method and device, and the method comprises the steps: obtaining a plurality of lightning protection efficiency indexes of an overhead line; Respectively calculating weights corresponding to the plurality of lightning protection efficiency indexes according to the number of the plurality of lightning protection efficiency indexes; And according to the plurality of lightning protection performance indexes and weights, calculating a lightning protection comprehensive evaluation index of the overhead line. According to the overhead line lightning protection efficiency evaluation method and device, the comprehensive lightning protection evaluation index of the overhead line is calculated according to the plurality of lightning protection efficiency indexes of the overhead line and the weight of each lightning protection efficiency index, so that the comprehensive and effective evaluation of the lightning protection efficiency of the overhead line is realized.

The invention relates to a polyurethane elastomer for a fine wear-resistant screen mesh and a preparation method of the polyurethane elastomer. The polyurethane elastomer disclosed by the invention is characterized in that a nano-silicon powder additive is added in a reaction process; the average particle diameter of nano-silicon powder in the additive is smaller than or equal to 200 nm; free diisocyanate in a prepolymer is effectively removed by utilization of a scraper film evaporator at a later stage of prepolymer synthesis; the weight content of the diisocyanate is smaller than 0.1 percent; an antioxidant and an ultraviolet stabilizing agent are reasonably added. The preparation method has the advantages that the reaction tends to be reasonable; the prepared polyurethane elastomer has the features of regular molecular chain structure, low viscosity, little smell, excellent mechanical property and excellent operation property; the abrasion resistance of the polyurethane elastomer is obviously higher than that of the conventional elastomer, the internally produced heat can be effectively reduced, and the polyurethane elastomer is especially suitable for being used in a high-frequency vibration environment.

The invention discloses a tower crane with a monitoring system. The tower crane with the monitoring system comprises a tower crane base, a height monitoring mechanism, a dip angle monitoring mechanism, a weight monitoring mechanism and an anti-collision mechanism. The height monitoring mechanism is arranged on the bottom surface of a crane boom. The dip angle monitoring mechanism is arranged on the bottom surface of a balance arm. The weight monitoring mechanism is arranged at the bottom end of a steel wire lifting rope. The anti-collision mechanism is arranged at the right end of the crane boom. The tower crane with the monitoring system is easy to operate and capable of monitoring information such as the hoisting quality, torque, dip angle, height, wind speed and the distance of the tower crane away from another tower crane in real time during operation of the tower crane and ensuring the comprehensiveness of monitoring data during operation of the tower crane. Hidden danger is foundand dealt with as early as possible. The construction safety is ensured. The monitoring data can be remotely shared. The tower crane with the monitoring system can conduct safety detection and warning and also can inform corresponding personnel to conduct processing according to the actual situation and different combination conditions and relieve the workload of the personnel.

The embodiment of the invention discloses a method and a device for obtaining same-intention statements, relates to the technical field of computers, and can solve the problem that in the prior art, when man-machine voice interaction is carried out, interaction fails easily. The method comprises the steps of acquiring a target word vector and a target sentence vector, the target word vector is theword vector of each segmented word in a to-be-recognized statement, and the target sentence vector is the sentence vector of the to-be-recognized statement; screening M word vectors closest to the target word vector from a word vector library; screening out N sentence vectors closest to the target sentence vector from a sentence vector library; searching sentences containing words corresponding to the screened word vectors from a sentence library, and searching sentences corresponding to the screened sentence vectors from the sentence library; and determining the statement most similar to theto-be-identified statement in the found statements as the statement with the same semantics as the to-be-identified statement.

The invention discloses a method for preparing an intelligence-improving medicine (S)-oxiracetam. The method comprises the following steps: (1) under the catalysis of 4-dimethylaminopyridine, enabling 2-oxiraneisobutylacetate to contact with ammonia gas to react, so as to obtain (S)-4-hydroxyl-2-oxopyrrolidine; (2) enabling the (S)-4-hydroxyl-2-oxopyrrolidine obtained by the step (1) to react with tert-butyldimethylsilyl chloride, so as to obtain a compound shown as a formula III, which is protected by tert-butyl dimethylsilane; (3) enabling the compound shown as the formula III and 2-bromoacetic ester to be subjected to a nucleophilic reaction under an alkaline condition, so as to obtain a compound shown as a formula IV; (4) under the catalysis of ammonium chloride, enabling the compound shown as the formula IV and ammonia gas to be subjected to an ammonolysis reaction, so as to obtain the (S)-oxiracetam as shown in the description. The (S)-oxiracetam prepared by the method provided by the invention is high in yield, high in ee value and relatively low in cost, and a preparation process is simple and is suitable for industrial production.

The invention relates to a treatment method of polyether polyol production wastewater and equipment for implementing the treatment method. The treatment method of the polyether polyol production wastewater comprises the following steps: removing solid substances in the polyether polyol production wastewater to obtain liquid wastewater; pretreating the liquid wastewater to obtain a pretreatment solution; in the presence of a catalyst, mixing the pretreatment liquid with an oxidizing agent, and carrying out oxidation reaction to obtain a reaction product; and cooling and depressurizing the reaction product, and then carrying out gas-liquid separation. The treatment method of the polyether polyol production wastewater is high in wastewater treatment efficiency, reaction can be effectively controlled, the technological process is simple and easy to implement, the catalyst with too high cost does not need to be used, reaction conditions are mild, the flow is more reasonable, and the reaction is more stable.

The embodiment of the invention provides a priority processing method, a processor, a processing chip, a circuit board and electronic equipment. The priority processing method comprises the following steps: acquiring the current quantity of to-be-sent request information in a request queue of the processor; setting the request information to be firstly sent in the request queue as target request information, and obtaining the waiting duration and the emergency level of the target request information; and determining a target priority of the target request information according to the current quantity, the waiting duration and the emergency level. The target priority of the target request information is dynamically adjusted according to the current quantity, the waiting duration and the emergency level, so that the obtained target priority is more consistent with the current condition of the target request information, and the target request information can be more reasonably responded according to the dynamically adjusted target priority.

The invention discloses a network attack analysis system, which comprises an entropy module unit, a triple module unit, a hot event propagation display module unit and a comprehensive association analysis module unit, wherein the entropy module unit reads logs of an intrusion detection system, computes entropy distribution values of source addresses and destination addresses, judges whether a large-scale network security event exists or not and outputs a judging result to the comprehensive association analysis module unit; and the triple module unit reads the logs of the intrusion detection system, merges the logs of the intrusion detection system, and detects and reports abnormal addresses or hot events. According to the analysis system disclosed by the invention, through computing the entropy distribution values of the source addresses and the destination addresses of the logs of the intrusion detection system, the large-scale network security event capable of causing the abnormal address distribution, such as network scanning and distributed denial of service attacks, can be detected.

One or more embodiments of the present application provide a customer credit classification method, comprising: obtaining a customer feature value t, the customer feature value t comprising, but not limited to, any one of the following indexes: customer age, unsettled liability of an enterprise, sales income of the enterprise in recent two years, enterprise registration capital, and number of times of violation of laws and adjustments of the enterprise; determining a plurality of grades corresponding to the client characteristic value t, and determining an evaluation index corresponding to each grade; obtaining a credit score corresponding to each grade based on the evaluation index; and obtaining a credit classification result of each customer based on the evaluation index and the creditscore. According to the invention, the credit scoring result of the client can be smoothly obtained, the influence of the grading threshold on the credit scoring result is reduced, and the sensitivityof the credit scoring result of the client to the grading threshold is reduced, so that the credit scoring result can reflect the credit condition of the client more smoothly and reasonably, and moreaccurate credit classification is obtained.