33results about How to "Intelligent judgment" patented technology

The invention relates to the field of smart home, in particular to a multifunctional smart dining table with the nutrition analysis function. The multifunctional dining table with the food nutrition analysis function, physical examination function, phone function, entertainment function and food heat preservation and cooling function is designed, food species and weights are obtained automatically, then, the nutritional ingredients and calories are analyzed out, prompting is conducted according to the intake of a user, and good healthy dietary habits are developed. The multifunctional smart dining table has the advantages that multiple sensors are adopted, and the dining table is made to have the intelligent function and can intelligently judge and analyze data; better use experience and comfort degree are provided for the user; a body detection module is arranged on the dining table and can check general parameters of the human body, and a physical examination is conducted while the user has a meal; the nutritional ingredients and calories are analyzed according to the food species and amount, a data table of each meal is formed, when a sample is big enough, the dietary habits of the user can be analyzed out, and dining suggestions are provided for the user by combining the physical examination situations.

The invention discloses a device and a method for detecting a trojan remote shell behavior. The device comprises a packet acquiring device, a data stream selecting and filtering device, a data stream character extracting device and a trojan shell behavior character detecting device. The detecting method comprises the following steps of firstly acquiring real-time network flow data of an internet access; then classifying data stream of the real-time network flow data, and filtering irrelevant protocol data stream; extracting an inlet and outlet packet load ratio, an inlet and outlet packet number ratio and a data stream answering interval in an answering and response process in each data stream; forming data stream characters extracted within certain time interval into a character vector, and inputting the character vector into a formed neural network model; finally calculating a result through the neural network model, judging whether the trojan remote shell behavior exists in the data stream or not, outputting the result, and feeding the detection result back to the data stream selecting and filtering device. The device and the method are applied to a large-scale network environment and can detect known and unknown trojan remote shell behaviors.

The invention discloses a data fusion method for calibration of multi-parameter instruments, which includes: performing de-noising to multiple historical data groups acquired by multiple measurements, extracting characteristic parameters of instrument calibration items of each historical data group according to the calibration rule; building and training an artificial bee colony data fusion model according to the acquired characteristic parameters; normalizing identification results of the artificial bee colony neural network according to the acquired weight parameters of the artificial bee colony neural network structure and constructing the basic probability assignment of evidence; and finally making the decision according to the evidence combination results. By the data fusion method for calibration of multi-parameter instruments, internal characteristics of the data can be analyzed by means of fusing the historical test data, and instruments can be calibrated more reasonably. Further, instrument calibration conclusion can be determined more intelligently, artificial interference during the calibration data processing procedure is reduced and error conclusion can be avoided by building the artificial bee colony neural network structure and constructing the basic probability assignment of the evidence.

Disclosed are a special high-precision intelligent pump for a hydraulic torque wrench and a method for controlling the hydraulic torque. The special high-precision intelligent pump for the hydraulic torque wrench comprises a hydraulic unit, and the hydraulic unit consists of a hydraulic pump. The special high-precision intelligent pump is characterized by further comprising a control unit and an actuating unit, wherein the control unit comprises a processor, a pressure sensor and a data acquirer, the actuating unit comprises an electromagnetic selector valve and a pressure regulating valve, the pressure regulating valve, the pressure sensor and the electromagnetic selector valve are disposed on a main oil passage of the hydraulic pump, output pressure of the hydraulic pump is detected by the pressure sensor, the data acquirer acquires pressure signals detected by the pressure sensor, the pressure signals are acquired by the data acquirer and read by the processor, the processor further receives time signals acquired by the data acquirer, the processor output control signals to the electromagnetic selector valve according to comparison of the pressure signals and a set pressure threshold and the time signals, and accordingly reversing of the electromagnetic selector valve is controlled.

The invention provides a water supply pipeline leakage identification method based on linear prediction cepstrum coefficients and lyapunov indexes, and belongs to the technical field of water supply pipe network leakage detection and positioning. Firstly, an environment background noise signal generated when no water flows into a pipeline is acquired firstly, and then a sound signal generated whenthe pipeline is normal and a sound signal generated when the pipeline is in leakage are acquired in the same environment background; the lyapunov indexes, the short-time zero-crossing rates and the linear prediction cepstrum coefficients LPCC of the acquired signals are calculated, and a B-P neutral network is established; and a sound signal is acquired on a to-be-detected pipeline, the characteristic values of the lyapunov index, the short-time zero crossing rate and the linear prediction cepstrum coefficient of the signal are calculated and input in the established B-P neutral network, andleakage identification is carried out. The problems that the existing water supply pipeline leakage detection technology depends on experience identification of people, so that the leakage identification precision is not high are solved. The method can be used for precise water supply pipeline leakage identification.

Disclosed is an auxiliary traffic trouble causing and escaping monitoring system. The auxiliary traffic trouble causing and escaping monitoring system comprises a monitoring center and a vehicle-mounted device. The vehicle-mounted device is connected with the monitoring center through a radio frequency signal, and comprises a microcontroller, a GPS module, a wireless receiving and sending module, a memorizer and a traffic accident judging unit, wherein the microcontroller is respectively connected with the GPS module, the wireless receiving and sending module, the memorizer and the traffic accident judging unit, and is connected with the monitoring center through the wireless receiving and sending module. The auxiliary traffic trouble causing and escaping monitoring system can achieve intelligent judgment and save manpower.

The invention provides an air conditioning unit, a detection method and a detection device of the air conditioning unit and a web server. The detection method of the air conditioning unit comprises the following steps that the number of the air conditioning units is acquired in the detection area; the outdoor environment temperature detected by each air conditioning unit after the corresponding air conditioning unit operates for the preset time in a preset mode is acquired; and whether the heat dissipation of an outdoor unit of each air conditioning unit is abnormal or not is judged accordingto the number of the air conditioning units in the detection area and all outdoor environment temperatures. According to the detection method of the air conditioning unit, whether the heat dissipationof the outdoor unit of each air conditioning unit is abnormal or not is judged according to the number of the air conditioning units in the detection area and the outdoor environment temperature which is detected after each air conditioning unit operates for the preset time in the preset mode, so that the uncertainty of manually judging the heat dissipation effects of the outdoor unit of the airconditioning units is avoided, then the air conditioning units can be conveniently installed at the proper positions, then the heat dissipation effects of the outdoor units of the air conditioning units are guaranteed, and the labor cost is reduced.

The invention discloses a smart card and mobile terminal consistency test method. The method includes the following steps that: a test platform establishes a communication connection with a mobile terminal; the test platform receives an operation instruction sent by the mobile terminal, and executes an application corresponding to a smart card through a corresponding script when determining that the operation instruction is an application operation instruction; the test platform compares the data of the operation instruction with expected data to obtain a comparison result; the test platform records the comparison result so as to form a feedback result which is generated by the execution of the application corresponding to the smart card; and the test platform generates a corresponding test report according to the feedback result. With the method of the invention adopted, analysis on the result of the application operation instruction is realized, and the test result is more intelligent and professional, and manpower can be saved, and the accuracy of the test result can be improved.

The invention discloses an unmanned plane positioning searching system, and relates to the unmanned plane technical field; the unmanned plane positioning searching system comprises a searching unmanned plane, a ground station processing center, and a ground navigation module; the searching unmanned plane comprises a navigation module, an automatic flight module, a prompt module, a data processingmodule, a wireless transmission module1, and a characteristic wave receiver; the ground station processing center comprises a wireless transmission module 2 and a map display interface; the ground navigation module is used for receiving object coordinate information transmitted by the wireless transmission module 2, planning a searching route from the object coordinates to searching personnel coordinates for the ground searching personnel, thus effectively searching objects in areas that the searching personnel cannot reach, enabling the unmanned plane to intelligently determine and search, determining locations through wave determination, and finding blocked objects; the unmanned plane can send the searched object coordinates to the ground navigation module on the ground searching personnel through the ground station processing center, thus enabling the ground searching personnel to fast find the object.

The invention discloses a method and system for achieving the intelligent energy saving of an AP, and relates to the field of wireless local area network communication. The method comprises the following steps: S1, carrying out the configuration of an AP; S2, judging whether there is a load mounted on the AP or not: executing step S3 if there is the load mounted on the AP, or else executing step S4; S3, judging whether the flow consumption of a terminal at the AP in an energy saving switching period is less than a set value or not: executing step S5 if the flow consumption of the terminal at the AP in the energy saving switching period is less than the set value, or else executing step S6; S4, judging whether the zero-load time of the terminal at the AP is greater than the energy saving switching period or not: executing step S5 if the zero-load time of the terminal at the AP is greater than the energy saving switching period, or else executing step S6; S5, enabling the AP to enter a sleep mode, and finishing the operation; S6, enabling the AP to enter a normal mode, and finishing the operation. A system employing an AP intelligent energy saving mode is implemented based on the above method. The method achieves the judgment of whether there is a terminal load mounted at the AP or not and whether the flow consumption of the mounted terminal exceeds the set value or not through the AP, so as to determine whether the AP needs to enter the energy saving mode or not, thereby achieving a purpose of effectively saving energy in a long-time operation process of the AP.

The invention discloses a perimeter intrusion detection method. The method comprises the steps of obtaining an entity type, a two-dimensional coordinate and a behavior type of a moving object in a monitoring video image covering a perimeter region based on a deep learning algorithm; acquiring a three-dimensional coordinate of the object according to the two-dimensional coordinate; obtaining the position relation between the object and a warning area and the position relation between the object and a buffer area according to the three-dimensional coordinates; judging whether the moving object accords with an early warning or alarm rule according to the position relation, the entity type, the behavior type and a video alarm strategy; detecting whether an integrated perimeter intrusion detection system deployed in the perimeter area sends out early warning or warning information, and if yes, performing adaptive conversion on coordinates of corresponding moving objects; and when the moving object accords with the early warning or warning rule and / or early warning or warning information is detected, judging whether the moving object is an intrusion object based on a Bayesian decision algorithm, and if so, carrying out early warning or warning. According to the invention, the problem of high false alarm rate of the existing perimeter prevention technology can be solved.

The invention provides a calibration method for a register electric energy meter. The calibration method includes the following steps: a first step, installing a register electric energy meter; a second step, allowing a calibration chip to obtain the photoelectric sampling precision; a third step, determining if the gain 1 .0 is qualified, entering a fourth step if not, and entering a fifth step if so; the fourth step, allowing the calibration chip to find an abnormal voltage point location x and an abnormal current point location y, and artificially debugging the x and the y; the fifth step,determining if the 0.5L angular difference is qualified, entering a sixth step if not, and entering a seventh step if so; the sixth step, allowing the calibration chip to find an abnormal angular difference point location m, and artificially debugging the m; the seventh step, determining if the small current bias is qualified, entering an eighth step if not, entering a ninth step if so; the eighthstep, allowing the calibration chip to find an abnormal bias point location n, and artificially debugging the n; and the ninth step, completing meter calibration. The method has fewer calibration steps, can greatly lower the difficulty of the calibration and improve the efficiency of the calibration.

The invention discloses a 5G real-time dynamic fault processing system based on a multidimensional sensor. The 5G real-time dynamic fault processing system comprises a data acquisition module, a database module, a numerical algorithm module and an event trigger analysis module. The data acquisition module is connected to the database module, and the database module is connected with the event trigger analysis module through the numerical algorithm module; the database module, the numerical algorithm module and the event trigger analysis module are connected to a remote control terminal through5G data information; technicians remotely monitor a machine in real time through 5G high-speed transmission, solve and analyze real-time data, analyze event results and event causes presented in theevent trigger analysis module according to occurred abnormal events, and adjust the machine in a targeted manner through the 5G high-speed transmission. The system has the characteristics of the fusion of various information, real-time dynamic association and expression, and high-speed real-time dynamic remote control of 5G.

The invention discloses a contact network suspension operating state intelligent detection system. The contact network suspension operating state intelligent detection system comprises a three-dimensional laser scanner and a laser scanning module, and further comprises a data processing module, a data transmission module, a data comparison module, a standard database module, an information output module and a data storage module; the data processing module, the data transmission module, the data comparison module, the standard database module, the information output module, and the data storage module are application software installed in a PC; the laser scanning module is a built-in control system of the three-dimensional laser scanner; and the PC is integrated into an inspection repair vehicle and can also be installed in a power supply section. The contact network suspension operating state intelligent detection system can perform intelligent identification and intelligent judgment, can quickly and accurately identify the operating states of various parts of the system, and can discover the problematic part in advance and process the problematic part in time; therefore, the occurrence of driving safety accidents is avoided, and meanwhile, the labor intensity of the detecting personnel is greatly reduced, the detection efficiency is improved, the accuracy of the detection is improved, and a guarantee for driving safety is provided.

The invention discloses a method for determining concrete damaged parts and degrees by carbon fiber cloth. By conductivity and piezoresistive effect of carbon fibers, a certain voltage is applied to electrodes at two ends of a carbon fiber strand with a surface insulating coating; after connection with a computer, changing conditions of current in the carbon fiber strand with the surface insulating coating before and after detonation are obtained to create a database. By measurement of current changes of the carbon fiber strand with the surface insulating coating before and after impacts of explosion, collision and the like, impact position and a damage range and degree can be judged intelligently, and intelligent assessment on a health state of a concrete structure is realized.

The invention belongs to the technical field of cartography and geographic information engineering, and particularly relates a GIS (geographic information system)-platform based dynamic charting method for real-time weather of power-grid foul areas. The GIS-platform based dynamic charting method includes the following steps: writing and deploying GIS platform rear-end service codes, writing and deploying dynamic calling and dynamic charting algorithms for different services of a GIS platform rear-end, writing and deploying dynamic charting programs of the power-grid foul areas of the GIS platform rear-end, rendering power-grid foul area maps to generate final power-grid foul area maps, pushing data to a GIS platform front-end by the GIS platform rear-end, monitoring GIS platform front-end events, and dynamically loading data for display by a display container of the GIS platform front-end. By the method, foul areas and pollution source points of power-grid resource regions can be automatically charted, and thematic maps such as pollution point influence coverage maps can be conveniently and truly generated.

The invention discloses a material blocking judgment method, device and equipment for a sintering pallet material distribution gate and a medium, and is applied to a sintering material distribution system.The method comprises the steps that when a gate material distribution control model is normally started, the actual material distribution thickness of the sintering pallet material distribution gate is obtained; calculating a material thickness deviation change rate according to the actual material distribution thickness; and according to the change rate of the material thickness deviation, determining whether the sintering pallet material distribution gate is blocked or not. According to the invention, the technical problem in the prior art that the material blocking of the gate cannot be found manually in time can be solved.

The invention provides a stereo automatic bicycle storing and fetching method. The stereo automatic bicycle storing and fetching method comprises the following steps: when a master control terminal receives a bicycle storing and fetching instruction sent by a user, judging whether a stereo automatic bicycle parking and fetching device has an empty parking space; according to empty space information selected by the user, judging whether an empty bicycle storing mechanism is positioned on a common transmission track, if so, controlling a second digital servo to park the empty space on the ground, and if not, controlling a first digital servo to rotate the empty space to the common transmission track first and then parking the empty space on the ground. By the stereo automatic bicycle storingand fetching method, the problem of difficult bicycle parking in the prior art is solved; meanwhile, through a multi-layer rotary track-changing mechanism, parking of multiple bicycles in one layer and multi-layer parking are achieved in a way of poking a part of the track of the mechanism and the common transmission track in turn, so that the space utilization rate of a bicycle parking lot is further increased; the empty parking space is intelligently judged, so that convenience is brought to the user, bicycle storing and fetching are efficiently completed, and the bicycle storing and fetching time of the user is saved.

The invention discloses an automatic obstacle removal method for a robot. The robot includes an omnidirectional mobile chassis, a manipulator obstacle removal device including an end actuator and a six-degree-of-freedom mechanical arm, and an image acquisition device. A robot using an ARM processor is arranged in the body The control system; the method includes: 1. Turn on the control system and select the working mode, and use visual feedback to determine the initial position of the six-degree-of-freedom mechanical arm; 2. ARM performs preliminary processing on the image in step 1 to obtain the coordinates of the grabbing point, and transmits it in real time After the PC is processed, the judgment result is obtained; 3. The control system proceeds to the next step according to the judgment result; 4. The end-effector visual marker corner is detected, and the six-degree-of-freedom mechanical arm is controlled to approach and grab the target. The invention can choose autonomous or manual automatic troubleshooting. Robotic troubleshooting has a high degree of intelligence and diversified functions. It can be applied to both ground troubleshooting and underground detection, reducing labor intensity and improving work efficiency.

The invention discloses a three-path speed synchronous-detection method for an escalator / moving walk. The method is characterized in that the method is used for detecting a deviation between the nominal speed and actual running speed of the escalator, acceleration during starting, deceleration during braking, a synchronous rate between hand straps on the two sides and steps / pedals, a hand strap deviation protection function, a stopping distance and the like according to requirements for each running index of the escalator and the moving walk in GB 16899-2011 safety rules for the construction and installation of escalators and moving walks and a special equipment safety law TSGT7005-2012 regulation for lift supervisory inspection and periodical inspection-escalators and moving walks. The method is conveniently and rapidly operated, and is automatic in detection, intelligent in judgment and accurate and reliable in detection result.

The invention discloses a Trojan horse remote shell behavior detection device and method. The detection device includes a data packet collection device, a data flow screening and filtering device, a data flow characteristic extraction device and a Trojan horse shell behavior characteristic detection device. The detection method is first to obtain real-time network traffic data at the network entrance; then classify the real-time network traffic data to filter out irrelevant protocol data streams; and then extract the load ratio of incoming and outgoing packets and the ratio of the number of incoming and outgoing packets in the response process of each data flow , data flow response interval; finally, the data flow features extracted within a certain time interval are constructed into feature vectors and input to the constructed neural network model; finally, the results are calculated through the neural network model to determine whether there is a Trojan remote shell in the data flow Behavior, and output the results, and feed back the detection results to the data stream filtering, which is suitable for large-scale network environments and can detect known and unknown Trojan horse remote shell behaviors.

An intelligent electronic go chess comprises a chessboard and chess pieces. First magnets are arranged at the bottoms of the chess pieces. The first magnets of the black and white chess pieces face different directions. The chessboard is provided with a processor and magnetic control units. The magnetic control units are arranged below chess piece falling points of the chessboard, and one chess piece falling point corresponds to one magnetic control unit. The magnetic control unit comprises a photoelectric coupler and a second magnet, and the second magnet is connected to an elastic device. Polarities of upper and lower ends of the second magnet are opposite. One magnetic control unit comprises an upper photoelectric coupler and a lower photoelectric coupler, and the second magnet is located between the two photoelectric couplers. The processor is provided with a port connected with the magnetic control unit, controls and receives signals of the magnetic control unit, carries out dataprocessing, and outputs corresponding signals through an output device. The intelligent electronic go chess has the advantages that the experience of entity chess playing is achieved, and the effectsof intelligent judgment and multimedia are achieved.

The invention discloses an environment video comprehensive monitoring system based on streaming media. According to the environment video comprehensive monitoring system, streaming media information collected by a camera is obtained through a streaming media obtaining unit and uploaded to a processor; streaming media information collected by a camera is partitioned through a partitioning unit, a plurality of supervision areas are obtained, and the supervision areas are divided into a cooking area, a cutting and matching area, a washing area and a storage area; the invention provides a method for intelligently identifying subareas and accurately dividing corresponding areas, so that the system can intelligently judge the areas, and subsequent specific monitoring and tracking are facilitated; meanwhile, a video analysis unit is used for carrying out environment analysis on each supervision area according to the streaming media information to obtain an environment safety degree; and the image is intercepted by the extraction unit according to an extraction algorithm and is transmitted to the client through the pushing unit.

The invention provides a method for calibrating a meter electric energy meter, which comprises the following steps: the first step is to install the electric energy meter of the meter; the second step is to obtain the photoelectric sampling accuracy of the meter calibration chip; the third step is to determine the gain of 1.0 Whether it is qualified, if it is not qualified, then enter the fourth step, if it is qualified, then enter the fifth step; the fourth step, the calibration chip finds out the abnormal voltage point x, abnormal current point y, and manually adjusts x and y; The fifth step is to judge whether the 0.5L angle difference is qualified. If it is not qualified, it will enter the sixth step. If it is qualified, it will enter the seventh step. ; The seventh step is to judge whether the small current bias is qualified, if it is not qualified, then enter the eighth step, if it is qualified, then enter the ninth step; the eighth step, the calibration chip finds out the abnormal bias point n, manually n debugging; the ninth step, the calibration is completed. The invention has fewer meter calibration steps, greatly reduces the difficulty of meter calibration and improves the meter calibration efficiency.

Disclosed is a hand wrestling judging device. The hand wrestling judging device comprises a main machine and two pressing handles. One pressing handle is located at the left side of the main machine,and the other pressing handle is located at the right side of the main machine; the pressing handles are hinged to the main machine through connecting rods; each pressing handle is provided with a first automatic reset switch; two elbow bases are arranged on the main machine; the elbow bases are sunken into the surface of the main machine an used for containing elbow joints during hand wrestling;second automatic reset switches are arranged inside the elbow bases; the main machine further comprises a sounder and a control circuit; the first automatic reset switches and the second automatic reset switches are connected to a control circuit; the control circuit drives the sounder to produce a sound by detecting the first automatic reset switches and the second automatic reset switches. The hand wrestling judging device has the advantages that the functions of cheat prevention and intelligent judgment are achieved, and the game experience effect is improved.

Disclosed are a special high-precision intelligent pump for a hydraulic torque wrench and a method for controlling the hydraulic torque. The special high-precision intelligent pump for the hydraulic torque wrench comprises a hydraulic unit, and the hydraulic unit consists of a hydraulic pump. The special high-precision intelligent pump is characterized by further comprising a control unit and an actuating unit, wherein the control unit comprises a processor, a pressure sensor and a data acquirer, the actuating unit comprises an electromagnetic selector valve and a pressure regulating valve, the pressure regulating valve, the pressure sensor and the electromagnetic selector valve are disposed on a main oil passage of the hydraulic pump, output pressure of the hydraulic pump is detected by the pressure sensor, the data acquirer acquires pressure signals detected by the pressure sensor, the pressure signals are acquired by the data acquirer and read by the processor, the processor further receives time signals acquired by the data acquirer, the processor output control signals to the electromagnetic selector valve according to comparison of the pressure signals and a set pressure threshold and the time signals, and accordingly reversing of the electromagnetic selector valve is controlled.

The invention discloses a bus dispatching path analysis method and a bus dispatching path analysis system. The bus dispatching path analysis method comprises the steps of: calculating a deviation degree between a first simulation path and a current bus driving path in real time as a first deviation degree in navigation; reading a navigation route which is pre-stored in a database and comprises sensitive points as a second simulation route; and calculating a deviation degree between a second simulation path and the current bus driving path to serve as a second deviation degree, and pushing an alarm to mobile equipment if the time when the first deviation degree is greater than the deviation threshold value is less than N minutes or the time when the second deviation degree is less than thedeviation threshold value is less than N minutes. By adopting the bus dispatching path analysis method and the bus dispatching path analysis system, the distance between the bus and the current sensitive point can be precisely positioned and intelligently judged, whether the bus is used illegally or not can be judged in real time when a preset risk occurs, the early warning information is efficiently pushed to the mobile equipment side in real time, and the calculation overhead of the server side is reduced.

The invention provides a stereo automatic bicycle storing and fetching method. The stereo automatic bicycle storing and fetching method comprises the following steps: when a master control terminal receives a bicycle storing and fetching instruction sent by a user, judging whether a stereo automatic bicycle parking and fetching device has an empty parking space; according to empty space information selected by the user, judging whether an empty bicycle storing mechanism is positioned on a common transmission track, if so, controlling a second digital servo to park the empty space on the ground, and if not, controlling a first digital servo to rotate the empty space to the common transmission track first and then parking the empty space on the ground. By the stereo automatic bicycle storingand fetching method, the problem of difficult bicycle parking in the prior art is solved; meanwhile, through a multi-layer rotary track-changing mechanism, parking of multiple bicycles in one layer and multi-layer parking are achieved in a way of poking a part of the track of the mechanism and the common transmission track in turn, so that the space utilization rate of a bicycle parking lot is further increased; the empty parking space is intelligently judged, so that convenience is brought to the user, bicycle storing and fetching are efficiently completed, and the bicycle storing and fetching time of the user is saved.