40results about How to "Correct" patented technology

The invention relates to a programming language capable of cross-language reusing, and discloses a method for programming and developing software application programs by using a group of certain brief term and syntax rule with natural language semanteme. Through the description of multiple programming language families and the display method of the same thought realizing parts in multiple language development of certain software with an abstract special function, the cross-platform, cross-compiling, convertible and embeddable unified development is realized. Through the compiling tool disclosed by the invention, the same set of codes programmed by the language can be compiled into the applications with different states under different platforms; and the platform characteristics are realized by corresponding compiling tools. Through the converting tool disclosed by the tool, the codes programmed by the language can be converted into other languages as C++, Java, C#, Pascal and Obj-C, and can also be converted into the codes directly executed by the ARM embedded chip. Through the standard developing library disclosed by the invention, the language can be directly embedded into other languages for mixed programming. Through the IDE and the simulator disclosed by the invention, the cross-platform debugging and simulation can be realized.

The invention relates to the technical field of educational management and particularly discloses a school intelligent information management system and a school intelligent information management method. The school intelligent information management system comprises a client interaction module, an international synchronization module, a centralized management module and a history recording module, wherein the client interaction module is used for carrying out information interaction between the school intelligent information management system and a client and receiving a request of the client; the request comprises selection on language and application modes; the international synchronization module is used for carrying out language processing of languages; the centralized management module is used for carrying out sorting processing on different information in the request; and the history recording module is used for recording the different information subjected to sorting processing and storing the record. According to the invention, synchronization of student and teacher information management and synchronization of attendance management data are implemented, a time management function is added, and institutionalization, systematization, standardization and automation of a work flow of the school intelligent information management system are implemented.

The invention discloses a high-speed electric multiple unit axle box bearing three-degree-of-freedom dynamic load reliability test platform and aims to overcome a problem that an axle box bearing reliability test can be not carried out in a practical operation. The test platform comprises a torque detection testing device and an axle box bearing reliability test device. The torque detection testing device is connected with the axle box bearing reliability test device through a cross shaft type universal shaft coupler. The axle box bearing reliability test device comprises a simulated frame side beam test device, a three-degree-of-freedom vibration simulation test device and a shaft assembly for an axle box bearing test. The three-degree-of-freedom vibration simulation test device comprises a vibration T type beam and a lateral actuator. The shaft assembly for the axle box bearing test is fixed on the vibration T type beam through bolts. The simulated frame side beam test device and the three-degree-of-freedom vibration simulation test device are placed in a parallel way. The parallel distance of the vibration T type beam in the three-degree-of-freedom vibration simulation test device and a simulated frame side beam supporting platform in the simulated frame side beam test device is 20 mm to 40 mm.

The invention discloses a satellite communication link analysis method under an on-orbit complex environment. By comprehensively considering a satellite attitude and orbit, a structure layout configuration and component rotating mechanism, load antenna shielding, data transmission antenna shielding, EMC design, satellite-earth communication link parameter, measurement-control antenna design and model selection, a precise satellite model is constructed, and a method for analyzing a satellite communication link under the on-orbit complex environment is designed; the quantified and refined measurement-control segmental arc coverage feature is obtained by simulating through the above-mentioned method by using the actually measured measurement-control antenna directional pattern information under the astral environment, the satellite configuration layout, the measurement-control data transmission system performance improvement, the user on-orbit working mode and the use strategy design canbe optimized, the measurement-control segmental arc is maximally utilized to perform the unlink emergency control or the downlink telemetering monitoring, and the method is especially important for the security of the whole satellite.

The invention provides a method for supporting uniform SQL (Structured Query Language) query of an embedded document. The method is characterized in that an upper-layer interface continues to use an SQL query language which is familiar to a user, and query of a non-structured embedded document is realized functionally. By adopting the method, unified SQL operation can be performed on relational data and an embedded document in NoSQL database MongDB through distributed database middleware specific to the characteristics of big-data multi-source heterogeneity, data in a bottom-layer database are acquired, and operation is correct; meanwhile, no matter data in the bottom-layer database exist in which form, the data can be operated in a relational way at a front end, and a result can be presented to a user in a relational form, so that the usability of the middleware is enhanced.

The invention relates to a rail vehicle grounding drainage test apparatus, and more specifically relates to a rail vehicle shaft end grounding apparatus wear test bench. The test bench comprises a test equipment assembling body, a heat dissipation fan assembling body and a test apparatus protective cover assembling body, wherein the test apparatus protective cover assembling body is fixed above the test equipment assembling body; the heat dissipation fan assembling body is fixed above the test apparatus protective cover assembling body, the test equipment assembling body comprises two symmetrically arranged test shaft assembly and bearing pedestal assembling bodies and a motor and motor support column assembling body; and the motor and motor support column assembling body and the two test shaft assembly and bearing pedestal assembling bodies are respectively in transmission connection through driving belt assemblies. Through a double-test-shaft transmission test apparatus provided by the invention, the rotating speed and the current working condition of a motor train unit in an actual track can be accurately simulated, a quite good test foundation is provided for a loss test of a rail vehicle shaft end grounding apparatus, and the accuracy of test data is guaranteed.

The invention discloses an agricultural greenhouse intelligent control device based on the Internet of Things. The agricultural greenhouse intelligent control device comprises a control center, a communication module, a data acquisition module, an environment regulation and control module and a video monitoring module. The control center is composed of a processor, a data analysis system, a database system, a fault diagnosis system and an early warning system. The communication module adopts a wireless network for data transmission, and the wireless communication module is responsible for reporting monitoring data among greenhouses and issuing a central station control command; the data acquisition module comprises a soil temperature and humidity detection unit, an illumination intensity detection unit, an air temperature and humidity detection unit and a CO2 concentration detection unit; the environment regulation and control module comprises a rainwater collection unit, an irrigationunit, a ventilation unit, a temperature and humidity regulation and control unit and an illumination regulation and control unit. According to the agricultural greenhouse intelligent control device,all the modules cooperate with one another, intelligent control over the greenhouse is achieved, and the agricultural greenhouse intelligent control device has the advantages of being accurate, stable, maintainable, upgradable, extensible, economical, applicable and the like.

The invention discloses a motor train unit shaft end grounding apparatus wear test bench. The test bench comprises a driving motor assembly fixed on a base framework and test shaft assemblies which are symmetrically arranged at the two sides of the driving motor assembly and have the same structure; each test shaft assembly is fixed on the base framework through mounting ring assemblies which are symmetrically arranged at the two ends and have the same structure; the driving motor assembly is in transmission connection with the test shaft assemblies at the two ends through a conveyor belt to form a power transmission system part of the test bench; and each test shaft assembly is composed of a test shaft, a test shaft belt pulley fixed on the test shaft and a grounding connection flange fixed at the shaft end of the test shaft. According to the invention, wear of a motor train unit in an actual working condition can be simulated, major causes of wear of a motor train unit grounding apparatus are analyzed through comparison data in case of currents and in case of no currents, and the test bench employs a reasonable mechanical structure rotating speed adjusting system and guarantees the accuracy of loss test data of the motor train unit shaft end grounding apparatus.

The invention is based on the working principle of the satellite navigation signal simulator, and provides a calibration system and calibration method for the satellite navigation signal simulator pseudo range control precision. The calibration system comprises a satellite navigation simulator, a navigation signal control module, a high speed oscilloscope and a pseudo range precision analysis module; the calibration system and the calibration method set up a pseudo range precision control platform through the measurement principle of the carrier wave phase method and form a test scheme which is accurate, practical and effective. The test method can reliably and accurately detect the pseudo range control accuracy of the satellite navigation signal simulator.

The invention relates to the rail vehicle axle box bearing and an earthing device reliability testing stand; the testing stand mainly comprises a transverse and vertical exciting apparatus, an exciting beam and support seat assembling body, a testing bearing assembling body, a motor and motor support pole assembling body; the exciting beam and support seat assembling body comprises an exciting beam support seat, a vertical exciting beam, and a testing vibration crossbeam; the motor and motor support pole assembling body is fixed on the exciting beam support seat; the testing bearing assembling body is fixed on the testing vibration crossbeam; the testing bearing assembling body and the motor and motor support pole assembling body are rotatably connected through a conveyer belt. The testing stand is simple in structure, can simulate the running speed and vibration conditions of the rail vehicle axle box bearing and earthing device on a real route, can provide a true and reliable testing environment for a stand test, thus solving the problems that the rail vehicle cannot have the rail motor coach axle box bearing and earthing device reliability test in real operation.

The invention discloses a subway shield interval short-distance underneath pass pipe-jacking tunnel settlement control standard setting method. Three-dimensional numerical simulation is carried out onunderneath pass construction by adopting large numerical simulation calculation software; the influence rule of the underneath pass construction on the deformation of the existing jacking pipe tunnelstructure is revealed; and an existing tunnel settlement control standard which takes numerical simulation as a basis and takes the allowable opening amount of a tunnel pipe joint seam and the allowable minimum additional curvature radius of a structural line type as control targets is established, and the method has the correctness of a numerical calculation prediction rule and the feasibility of a settlement control standard making method.

The invention discloses a method for power distribution network island detection based on wide-area information. According to the method, the difference value T between the ratio of the local load-side frequency change quantity delta f1 and the power change quantity delta PL1 and the ratio of the power-grid-side frequency change quantity delta fS and the power change quantity delta PS serves as a detection index and occurrence of the island state is judged through multiple times of detection and comparison between the difference value T and the set threshold value T0. The method is simple in principle, wide in application range, capable of avoiding fault operation under disturbance of power grid voltage fluctuation, different kinds of load switching and the like, the island phenomenon can be rapidly and accurately detected on different load conditions, and the engineering practical value is achieved.

The invention discloses a matching method based on a generalization bi-direction similarity connection technique, and relates to the technical field of computer networks. The method includes the steps of obtaining data of two parties to be matched and a given threshold value for limiting the matching degree, carrying out bi-direction matching on factual data of each party and expected data of the other party, filtering a large quantity of records which do not meet matching conditions according to bi-direction matching results, quickly judging filtered candidate sets and obtaining record pairs capable of being successfully matched. According to the matching method based on the generalization bi-direction similarity connection technique, generalization bi-direction similarity connection is carried out based on mapping, filtering and verification (MFV), and the method is suitable for wide application scenes in the real world.

The invention discloses a dynamic path planning algorithm and system based on passage time and vehicle speed prediction. The algorithm comprises a lower-layer algorithm OptSub and an upper-layer algorithm DyPath, and dynamically plans a vehicle driving path in real time according to future path prediction passage time data in a vehicle driving process, so as to enable the passage time of a vehicle in a complex path to be the shortest. Therefore, intelligent traffic is realized. The real-time average vehicle speed of each road section and the predicted future average vehicle speed are combined in the driving process, the real-time passing duration of the road section is calculated, the passing duration in a period of time in the future is predicted, and the path is dynamically adjusted. According to an existing traditional prediction algorithm, real-time road conditions are used for optimizing path selection, but the change of traffic conditions of future road sections cannot be coped with. The algorithm and the system have correctness, effectiveness and applicability, the road traffic capacity of vehicles is improved in an environment with frequent road state changes, and convenience is brought to urban traffic.

The invention discloses a digital signal generator which comprises a keyboard module, a control module, a frequency synthesis module, a low-pass filtering module and a signal output module. The keyboard module is used for selecting waveforms and frequency of output signals, the control module is connected with the keyboard module, the frequency synthesis module is connected with the control module, the low-pass filtering module is connected with the frequency synthesis module, the signal output module is connected with the low-pass filtering module, and the control module is further connected with a display module. The digital signal generator can realize outputting of various waveforms including sine waves, square waves and triangular waves, and is high in accuracy and stability in signal outputting, simple in structure, low in cost and capable of being applied to student laboratories.

The invention discloses a method for realizing LKJ automatic driving benchmarking by utilizing station-field interlocking information. The method solves the problems of distance error, overrunning signals and the like which can be caused by manual driving benchmarking. According to the technical scheme, the method comprises the following steps that a LKJ host performs LKJ parameter setting operation; a regulating and preventing system is used for searching the driving benchmarking point information by means of the station-field interlocking information; the LKJ host judges whether a driving benchmarking condition is met or not, under the condition that the condition is met, the LKJ host prompts so as to carry out automatic driving benchmarking, and the distance from a train to the drivingbenchmarking point is displayed; the LKJ host judges whether the train runs to the driving benchmarking point or not, and an automatic driving benchmarking instruction is sent by the regulating and preventing system when the train runs to the driving benchmarking point; and the LKJ host finishes automatic driving benchmarking operation after receiving the automatic driving benchmarking instruction.

The invention discloses a diversified image description statement generation technology based on deep learning, and belongs to the technical field of image description statement generation. The diversified image description statement generation technology based on deep learning is used for solving the problems that generated statements are single and wide and image details are ignored in a traditional image description statement generation technology, and is suitable for generating diversified description statements from an image.

The invention discloses a method for identifying constitutional types and constitutional foods. The method includes steps of (1), setting a constitutional identification server; (2), setting a plurality of constitutional identification client terminals; (3), enabling clients to submit client information and preset constitutional identification information to the constitutional identification server via the constitutional identification client terminals when the terminals are in working states, enabling the constitutional identification server to compare the preset constitutional identification information provided by the clients to data information stored in a database and analyze the preset constitutional identification information provided by the clients, determining the constitutional types of the clients and constitutional foods which are respectively beneficial and harmful for the clients, and transmitting the determined constitutional types, the determined constitutional foods and corresponding health advice to the constitutional identification client terminals. The invention further discloses a system for implementing the method for identifying the constitutional types and the constitutional foods and a method for implementing the first method for testing wrist force.

The invention discloses a data acquisition method and device for intelligent equipment. The data acquisition method comprises the following steps that the intelligent equipment acquires a unique authentication number preset by a processor of the intelligent equipment, and a corresponding physical address; the intelligent equipment encodes the authentication number and the physical address according to a preset instruction in order to generate a first identification code of the intelligent equipment; and the intelligent equipment stores the first identification code, and stores the first identification code and data information of the intelligent equipment to a cloud server of the intelligent equipment, so that a user can acquire the data information of the intelligent equipment from the cloud server according to the first identification code. According to the data acquisition method, the coding efficiency of the identification code can be improved, the uniqueness of the identificationcode of each intelligent equipment can be ensured, the safety of the data of the intelligent equipment is improved, and the user experience is improved.

The invention discloses a method and device for optimizing an intention recognition confidence coefficient threshold and a storage medium, and belongs to the field of man-machine interaction robots. The method for optimizing the intention recognition confidence threshold comprises the following steps: setting n thresholds Ft, wherein the t is greater than 1 and lower than or equal to n ; calculating an intention recognition recall rate, an accuracy rate and an overall benefit value corresponding to each threshold Ft; and taking the intention recognition threshold value Ft corresponding to the maximum overall benefit value as the optimal threshold value Ftmax, and setting the intention recognition confidence coefficient threshold value as the optimal threshold value Ftmax. According to the method, personal perceptual experience relied on by manual setting of an intention recognition confidence coefficient threshold in the prior art is solved, the natural language understanding ability of the conversation robot is improved, the threshold can be automatically and regularly updated, data are more reasonable, and the intention recognition accuracy and recognition rate of the conversation robot are high.

The invention relates to a large coal pile excavation point and stockpiling point automatic identification method comprising the following steps: obtaining point cloud data of a target coal pile, and preprocessing the point cloud data to obtain a denoised point cloud model; trisecting the denoised point cloud model into three areas according to the data length, and storing the three areas respectively; obtaining an area demand needing to be operated, and selecting a corresponding area according to the area demand; obtaining operation strategy selection information, and selecting a corresponding operation strategy according to the operation strategy selection information to process the corresponding region; obtaining and storing the processed three-dimensional information; and importing the processed three-dimensional information into a mechanical arm identification module to realize automatic coal pile identification. According to the method, the process of manually judging an excavation point and a stockpiling point is simulated; extracted excavation points and stockpiling points are high in accuracy, and the efficiency of follow-up operation can be improved; the automation degree of coal mine operation is improved, and the development concept of intelligent manufacturing is met.

The invention relates to the application of an indoor positioning technology, in particular to a UWB-based prisoner positioning and alarming system, which can realize the real-time positioning of prisoners and managers, the real-time check of prison conditions and the early warning of abnormal behaviors in advance through the interaction of the UWB positioning technology and an existing monitoring system. The intelligent prisoner management system comprises a position information acquisition module, a UWB (Ultra Wideband)-based prison positioning system, a prisoner management module, a prisoner management module, a prisoner management module, a prisoner management module, a prisoner management module, a prisoner management module, a prisoner management module, a prisoner management module, a prisoner management module and a prisoner management module, the position resolving module is used for filtering the original data of the position information acquisition module, resolving the position information through a positioning algorithm to obtain TDOA positioning data, and resolving to obtain two-dimensional coordinate positioning data; the positioning judgment module is used for calculating the Loc positioning data of the resolving module through an algorithm to obtain a positioning error; and the alarm judgment module formulates an alarm rule and realizes abnormal point alarm through an algorithm.

The invention discloses a novel RSA blind signature method, and aims to realize protection of sensitive private data in electronic contract signature in network transaction. The method is technicallycharacterized in that an information owner Alice blinds a message needing to be signed, a signer Bob blinds the blinded message, the Alice blinds the message blindly signed by the Bob, and finally, arandom third-party verifier Miner completes final signature verification. The method realizes unforgeability and blindness while having correctness and security, and is suitable for privacy sensitiveinformation protection in an electronic contract signing process.

The invention discloses a method and a device for indicating golf club swinging and positioning. The method is characterized in that a plane with a certain angle formed by light projection and the ground is served as a reference plane to allow a golfer to directly swing on the reference plane or swing in a swinging plane parallel to the reference plane during a swing process, a point optionally selected from an intersection position of the swinging plane and the ground is served as a ball spot, so that swinging path and hitting point are unified in the swinging plane to guide the correct swing. In the method, a plane wall is formed by projection of light, so that the swinging path, the hitting point and target direction are unified into the plane to guide the correct swing, and the method has good popularization value.

The invention relates to an electro-hydraulic servo cylinder large platform test bench for a vehicle guardrail test. The electro-hydraulic servo cylinder large platform test benchincludes a guardrail test bench basic part assembly body (1), a pressure applying three-coordinate sliding table assembly body (2), a guardrail counter-force gantry frame assembly body (3), a counter-force seat (4), a hydraulic pump and synchronous motor assembly body (5), a stroke actuator assembly body (6) and an unbalance loading resisting guide rail and piston rod assembly body (7). The hydraulic pump and synchronous motor assembly body (5) is connected with the stroke actuator assembly body (6) through a hydraulic pipeline, and the stroke actuator assembly body (6) drives the unbalance loading resisting guide shaft frame assembly body (45) in the unbalance loading resisting guide rail and piston rod assembly body (7) to do linear motion back and forth, so that loading of a test piece is realized. The technical problem to be solved by the invention is to make up the technical vacancy of the test bench for the vehicle guardrail test at the present stage and meet the technical requirements of related national standards.

The invention discloses a method and a device for golf swing training. The method is characterized in that whether swing actions are correct or wrong is judged by steps of firstly building a swing plane for guiding golf swing and then building components for monitoring whether an included angle is formed between a golf club body and the swing plane or not outside the swing plane. According to the tangent principle in plane geometry, by the aid of the components, the plane relationship between a swing track and a target direction is built as a foundation for swing teaching, the method and the device are correct completely, interpret the essence of golf swing perfectly, and accordingly are complete designs for training golf swing skills and have great significance in golf sports.

The invention discloses a service quality prediction method based on a deep neural network and a system thereof, and relates to the technical field of network services. The method includes the following steps: input request context variable information, and encode in the encoding module through entity expression matrix to obtain embedded request matrix; compress the encoded context variable information and perform feature extraction to obtain the described Request the embedded request vector according to the time sequence of the context variable information; according to the time sequence, input the embedded request vector to the LSTM network module to output the prediction data information of the deep neural network to the next input request context variable information; The predicted data information is sensed to obtain the decoded predicted data information, and the decoded predicted data information is restored to service quality data and output.

The invention discloses a method for power distribution network island detection based on wide-area information. According to the method, the difference value T between the ratio of the local load-side frequency change quantity delta f1 and the power change quantity delta PL1 and the ratio of the power-grid-side frequency change quantity delta fS and the power change quantity delta PS serves as a detection index and occurrence of the island state is judged through multiple times of detection and comparison between the difference value T and the set threshold value T0. The method is simple in principle, wide in application range, capable of avoiding fault operation under disturbance of power grid voltage fluctuation, different kinds of load switching and the like, the island phenomenon can be rapidly and accurately detected on different load conditions, and the engineering practical value is achieved.