37results about How to "Judgment is stable" patented technology

The invention discloses a method and a system for preventing collision of a robot based on a current method. The method comprises the following steps: acquiring the working current value of a drivingmotor, and comparing the working current value with a corresponding standard current value-position curve, thus obtaining a comparison result of each current; judging whether each part of the robot isin collision or not according to the comparison result of each current. The system comprises a current module, a comparison module and a judgment module, wherein the current module is used for acquiring the working current value of the driving motor; the comparison module is used for comparing the working current value with the standard current value; the judgment module is used for judging whether the robot is in fault or not. According to the method and the system, disclosed by the invention, whether corresponding parts of the robot are in collision or not can be quickly judged through acquiring the working current value of the driving motor, and measures can be taken in time once the robot is in collision, so that automatic monitoring on the robot can be realized, and the safety of life and property can be ensured; the method and the system can be widely applied to the technical field of robots.

The invention discloses a method and device for playing video in a small window in a browser. The method comprises the following steps that A, video elements selected in a current webpage window are acquired; C, an independent video window which is independent of the current webpage window and is used for containing and playing video is established; D, other elements besides the selected video elements in the current webpage window in the step A are concealed; E, the current webpage window in the step A is moved and bound in the independent video window. The method and device for displaying the video in the small window in the browser has the advantages that the other elements besides the video elements in the current webpage window are concealed and then transferred to the independent video window so that the video can be protruded, an interface where the user watches the video is clearer, playing of the video is not influenced, and the video does not need to be replayed. In addition, whether elements pointed to by a user mouse are video elements or not can be better and more stably judged, and the video elements embedded in an iframe are prevented from being omitted.

The invention provides a converter door automatic temperature measuring sampling device. The device comprises a moving mechanism which is moved on a track on the ground in front of the door of the converter and a suspension front fire blocking door and a temperature measuring sampling robot which are cooperatively installed on the moving mechanism, wherein a complete converted slag spattering andhigh-temperature radiation protecting baffle is formed by a steel slag spattering protecting plate and the suspension front fire blocking plate when the temperature measuring sampling robot is at a waiting position; converter mouth real-time image information is collected by the temperature measuring sampling robot to provide information for an operator when the operator maintains the converter, and self-decision is performed by the temperature measuring sampling robot according to collected molten steel and slag block position to control the extending range and inserting position of a temperature measuring sampling probe. The device has the advantages that the temperature measuring sampling robot is used for replacing operators to perform temperature measuring sampling, the operators canbe prevented from burning by spattered steel slag, the operation success rate is significantly improved, and the device is an advanced technology which has extensive application prospects.

The invention provides an automatic temperature measuring and sampling method for the door of a steelmaking converter. According to the method, a walking mechanism which moves on a rail on the groundin front of the door of the converter, a suspension type before-the-converter fire blocking door and a temperature measuring and sampling robot, wherein the suspension type before-the-converter fire blocking door and the temperature measuring and sampling robot are jointly arranged on the walking mechanism; at a standby position, the steel slag splashing protection plate of the temperature measuring and sampling robot and the suspension type before-the-converter fire blocking door form a complete converter slag splashing and high-temperature radiation protection baffle; the robot collects thereal-time image information of the mouth of the converter and provides the information for an operator in maintenance converter; and the robot collects molten steel and slag block position informationand can independently decide and control the stretching distance and insertion position of a temperature measuring and sampling probe. According to the method of the invention, the robot is used forreplacing manual operation to perform temperature measurement and sampling; and therefore, the operator can be protected from being scalded by splashing steel slag, and an operation success rate is remarkably improved. The method is an advanced technology with a bright application prospect.

The invention discloses a distributed second-generation identity card management system based on a cloud platform. The system comprises an NFC card reading apparatus, a cloud management server, a TCP / IP communication system, a scheduling server, a database server and at least two cloud decoding servers, wherein the cloud management server and the cloud decoding server are arranged at a cloud. According to the invention, a coding and decoding module of a conventional second-generation identity card are subjected to network processing, the demands of users can be satisfied to be greatest extent, and the cost is decreased. The system has such functions as cloud card reading, cloud management, cloud decoding and the like, has the advantages of simple structure, reliable performance, low cost and powerful functions, can work stably for long time, can carry out encryption and decryption processing and communication, can transfer its own work state, enables technical personnel to know the operation state of equipment without arriving in a field and enables the technical personnel to perform accurate determining and timely processing.

The application discloses a signal processing method and device. The method comprises the following steps: deploying a Wi-Fi probe in a preset region; collecting a Wi-Fi signal of to-be-detected equipment in the preset region; computing average signal intensity of the Wi-Fi signals of the to-be-detected equipment in the setting period; determining the dynamic threshold, wherein the dynamic threshold is used as the average signal intensity at the preset processing location; and judging whether the target group enters the target place in the preset region according to the dynamic threshold value. Through the signal processing method disclosed by the application, the problem that large error is existent in a judgment result of judging whether the target group enters the target place by usingthe detection data of the unprocessed Wi-Fi probe and the experience threshold in the prior art is solved.

The invention discloses an intersection expression and vehicle infrastructure target matching method for a cooperative vehicle infrastructure system (CVIS) environment. The method comprises the following methods: 1, a simple intersection expression method, wherein an intersection is selected, and longitude and latitude information of the central point of the intersection and the middle points of stop lines of branch intersections is acquired in advance; a polar coordinate system is established on a plane base where the intersection is located, and polar angles of the middle points of the stoplines of the branch intersections are determined through calculation; and numbers are assigned to the branch intersections according to polar angle ranges of the branch intersections; and 2, a vehicleinfrastructure target matching method, wherein the polar radius of a point where a target vehicle is located is calculated to determine whether the vehicle is located in an intersection area or not;a polar radius change tendency is observed to judge a driving direction of the target vehicle; and matching is carried out on the polar angle of the point where the target vehicle is located and the polar angle ranges of the branch intersections to determine the branch intersection where the target vehicle is located. The method disclosed by the invention has the advantages that any intersection can be very flexibly and easily defined; and whether the target vehicle is located in the intersection area or not can be stably and efficiently judged, and the driving direction of the vehicle and thebranch intersection where the vehicle is located can be stably and efficiently determined.

The invention discloses a high-quality high-resistant starch japonica rice molecular breeding method including the steps: with high-resistant starch indica rice as a parent, hybridizing with a high-quality japonica rice parent, and hybridizing to obtain F1 generation seeds; planting the F1 generation, back-crossing with the high-quality japonica rice parent for one time, to obtain BC1F1 generation seeds; planting BC1F1 plants, constructing a double haploid population by an anther culture technology, and harvesting DH0 generation seeds according to a single plant; planting DH1 generation plants, and selecting an excellent plant system with the amylose content ranged from 15 to 21% and the resistant starch content exceeding 10%; planting DH2 generation, and selecting a japonica-cline type excellent line; and planting a DH3 generation, and obtaining a shape-finalizing line of high-quality high-resistant starch japonica rice, namely high-quality high-resistant starch japonica rice. The bred high-quality and high-resistant starch japonica rice provides higher practicability for edible optimization of diabetes special rice and prevention of occurrence of diabetes from the source through diet.

The invention discloses an automatic titration detection device which can conduct continuous titration without interruption, and can accurately identify the titration end point. The automatic titration detection device is suitable for automatically titrating and detecting a to-be-detected solution, and comprises a to-be-detected solution storage container, a detecting table unit, a shell, a solution adding titration device, a uniform blending device, a light casting device, a lighting device and an identifying device; the to-be-detected solution storage container is mounted on the detecting table unit; the shell can form a relatively closed detecting space to avoid interruption of stray light; the solution adding titration device is mounted at the top of the shell and located above the liquid face of the to-be-detected solution storage container, and various kinds of reagents needed in the detecting process are added into the to-be-detected solution storage container; the light castingdevice casts light to the to-be-detected solution; the lighting device collects the light intensity array of the to-be-detected solution; and the identifying device is connected with the lighting device and used for identifying the titration end point.

The invention discloses a Gram staining method, belongs to the technical field of microbial detection and solves the problems that the prior art has a risk of bacterial infection, unevenness of fixedforce and the like. The gram staining method comprises the steps of smearing, fixing and staining; after smearing, performing ultraviolet irradiation directly for fixing, then staining, and fully exposing bacteria thallus under ultraviolet; while killing the thallus, fixing the smeared piece, not only reducing the risk of bacterial infection, but also fixing and forcing the thallus consistently, resulting in no bacteria deformation due to uneven heating in the fixed steps of conventional heating, and affecting the result judgment of experimenters. By use of the method, staining results are more stable, result judgment is more powerful, and the method provides reliable basis for guide clinical diagnosis and treatment of infectious diseases.

The invention discloses an automatic back washing device. The automatic back washing device comprises a filtering module and a water storage and energy storage module which are connected with each other; the filtering module is connected with a medium sampling device; when the pressure in the medium sampling device is larger than that in the filtering module, water in media is filtered out throughthe filtering module and delivered into the water storage and energy storage module to be stored; and when the pressure in the medium sampling device is smaller than that in the filtering module, thestored water is delivered into the medium sampling device through the filtering module by means of the water storage and energy storage module to wash the medium sampling device. Automatic back washing on the medium sampling device is achieved under the condition that no water source exists and power does not need to be supplied by the outside. The invention further discloses a pressure detectionsampling system comprising the automatic back washing device. The medium retention, solidification and blockage phenomena in the medium sampling device are effectively avoided, and medium pressure detection is more stable and more accurate.

The invention discloses a trend fitting based wind power intraday fluctuation continuous period recognition method and system. The trend fitting based wind power intraday fluctuation continuous period recognition method comprises performing analysis on a wind power output process line, performing subinterval length division, trend fitting and overlapped portion fitting according to characteristic parameters of different subintervals and obtaining the integral process line fitting sequence and performing fluctuation sensitivity fitting, fluctuation recognition and continuous period recognition. According to the trend fitting based wind power intraday fluctuation continuous period recognition method and system, the period of the wind power output process line fluctuation is automatically extracted and accordingly a new judgment and recognition mode is provided, the result is simple and clear, and the implementation is convenient and easy. Compared with the prior art, the new way is provided for the period level of wind power output process line fluctuation recognition, the important innovation is achieved, the judgment of the wind power output stability analysis is facilitated, the wind power operation cost can be reduced, the wind power application efficiency can be improved, and the important actual application significance is brought to the wind power operation management and the wind power compensation adjustment.

The invention relates to the technical field of image recognition and medical treatment, and provides a PD-1 / PD-L1 pathological picture recognition method based on deep learning, which comprises the following steps: S1, constructing a deep residual network model; s2, acquiring a PD-1 / PD-L1 immunohistochemical staining picture which is subjected to artificial marking; s3, constructing a PD-1 / PD-L1 pathological staining picture recognition model on the deep residual network model by using an immunohistochemical staining picture; and S4, identifying the PD-1 / PD-L1 pathological picture of the patient to be detected by using the identification model. The invention further provides a corresponding PD-1 / PD-L1 pathological picture recognition device based on deep learning, computer equipment and a computer readable storage medium. The recognition model can replace manual judgment, and whether positive expression exists in the PD-1 / PD-L1 in the body of a patient or not is correctly, rapidly and stably judged.

The invention discloses a pedelec torque sensor signal processing algorithm comprising the following steps that (1) torque zero point self-calibration is performed; (2) restoration of pedal torque voltage is performed; (3) pedal frequency signals are extracted; and (4) the processed torque signals are obtained. According to the algorithm, the voltage signals of pedal torque sensors are processed, and a motor is driven by the processed torque voltage signals so that the balance of the stability and the reaction speed of the vehicle can be realized.

The invention discloses a forced blasting type adaptive gas water heater system and a method for automatically judging gas types for the forced blasting type adaptive gas water heater system. The method is characterized by including steps of starting a water heater by the aid of gas with a relatively low heat value at first, receiving data of inlet water temperature T1, outlet water temperature T2 and water flow m by the aid of a master controller, computing a heat load value QS according to a formula of Q=Cm(T2-T1), comparing a computation result with a heat load value QI of a theory of the gas and judging the computation result; and determining the type of the current gas, then switching to a control program corresponding to the gas, regulating current of a gas proportional valve and rotation speed of a fan, and accordingly realizing automatically identifying the type of the gas by the aid of a program. The data are fed back by a sensor module, and the heat load value QS is actually generated by the current gas. A traditional gas type selecting mode realized by means of dialing is replaced, a user does not need to know the type of used gas or manually set types of gas, and the forced blasting type adaptive gas water heater system is convenient in use.

The FPGA-based intelligent substation network storm processing module and its solution method of the present invention analyze the configuration information from the upper layer program through the receiving control module, reasonably distribute the analyzed configuration information to the sub-modules in it, and each sub-module quickly judges the reception through the configuration information Whether the received message is consistent with the message subscribed by the upper-level program, and then output the judged information to the receiving control module for summary output, and finally the receiving control module judges whether to send this frame to receive the message, so as to achieve in any network situation The lower IED can run safely, quickly and stably. By quickly processing Ethernet messages at the physical layer, the program burden of the application layer can be greatly reduced. Through the rapid identification and analysis of the messages, one frame can be judged at the same time after receiving one frame of messages, which can greatly reduce the internal data buffer. In order to achieve a reasonable use of internal resources, the IED can quickly identify reliable actions under the influx of a large number of network packets.

The invention discloses a soil moisture sensor based coal sample drying end condition method, comprising the following steps: S1: collecting moisture data of a coal sample in the drying process by using a soil moisture sensor; S2: performing data normalizing operation on the moisture data obtained in step S1; that is, a ratio C is obtained by dividing an initial measurement basis value A from a measurement value B of each cycle; S3: performing deviation calculation; a change rate D of gradient is obtained by deviation calculation of adjacent cycle C values, and whether a drying condition is reached is judged by comparison between the difference value, that is, the change rate D of the gradient, and a standard value; if reaching the end condition ending; and if not reaching the end condition, continuing judgment of the next cycle until ending. The method has the advantages of being simple in principle, easy to realize, and capable of automatically judging drying end condition and ending, and meeting the requirement of subsequent links.

The invention provides a method for automatic temperature measurement and sampling of a steelmaking converter door, which includes a running mechanism that moves on the ground track in front of the converter door, a suspended furnace front fire door and a temperature measuring and sampling robot that are jointly installed on the running mechanism. Among them, when the temperature measuring and sampling robot is in the standby position, its steel slag splash protection plate and the suspended furnace front fire door form a complete slag splash and high temperature radiation protection baffle; the robot collects real-time image information of the furnace mouth to provide information for operators to maintain the converter , the robot collects the position information of molten steel and slag blocks, and can independently decide and control the extension distance and insertion position of the temperature measurement sampling probe. The invention uses a robot to replace manual temperature measurement and sampling, which can prevent operators from being scalded by steel slag spray and significantly improve the success rate of operations, and is an advanced technology with wide application prospects.

The purpose of the present invention is to provide a method and equipment for detecting the stability of the manipulator stylus head, by controlling the manipulator stylus head to click the preset number of times on the screen at the position of the same axis coordinates, and then comparing the theoretical coordinate value with the actual coordinate value , judging whether the manipulator stylus is stable based on the comparison result can accurately and reliably determine whether the touch of the manipulator stylus is stable, and ensure the stability of the result of subsequent detection of mobile phone screen performance by the manipulator stylus.

The invention discloses a monocular image-based glasses detection method and device, a storage medium and equipment, and belongs to the field of mode recognition. The method comprises the following steps: training a CNN through a training set comprising a left eye image sample and a right eye image sample, wherein the CNN comprises a plurality of convolutional layers, a pooling layer, a full connection layer and a Softmax layer; obtaining a left eye area or a right eye area from the face image to obtain a monocular image; inputting a monocular image into the trained CNN, obtaining eye features in the last full connection layer, enabling the Softmax layer to classify the eye features, and obtaining the probability of wearing glasses and the probability of not wearing glasses. According to the invention, the high symmetry of the face image is utilized, glasses detection is completed by only one eye image, and the judgment efficiency of an algorithm is improved while the accuracy of glasses detection is ensured.

The invention belongs to the technical field of motorcycle motor control, and provides a power-assisted control method, device, equipment and medium for a hybrid power motorcycle, and the method comprises the steps: obtaining the state information of the whole motorcycle; and judging whether a driving assistance control condition is met or not according to the whole vehicle state information, and controlling a motor to execute a driving assistance program. By the adoption of the technical scheme, the priority sequence needs to be set in advance for the driving assistance control condition, so that the vehicle judges whether the driving assistance control condition is met or not in order, and then the vehicle is controlled to execute the driving assistance program. According to the method, the data associated with the motorcycle driving is judged through the preset priority sequence, so that the vehicle condition can be stably judged, the effective data processing is realized, and the efficiency of the judgment process is improved.

The invention discloses a method and device for judging conscious blinking and unconscious blinking. The method comprises the steps of carrying out experiments of unconscious blinking and conscious blinking on a testee; acquiring an electric signal of graphene resistance change when the testee performs the conscious blinking and the unconscious blinking through a graphene sensor attached to the orbicularis oculi muscle of the testee, and obtaining detection ranges of a time characteristic and a peak characteristic of the unconscious blinking of the testee, and detection ranges of a time characteristic and a peak characteristic of the conscious blinking of the testee; obtaining an electric signal of graphene resistance change when the testee blinks at a time in a non-experimental state, andextracting a time characteristic and a peak characteristic of the obtained electric signal; and judging the conscious blinking and the unconscious blinking according to the time characteristic and the peak characteristic extracted in the previous step. The method is not affected by the environment, and can judge the conscious blinking and the unconscious blinking more stably, reliably and accurately.

The invention discloses a method for evaluating the nutritional state of a lake and its application. The evaluation method includes: step a, measuring the total organic phosphorus components in the lake sediment sample, and calculating the ratio of active monoester phosphorus in the sediment sample; step b. According to the nutrient status index of the lake water quality parameters, calculate the lake trophic comprehensive index; step c, according to the active monoester phosphorus ratio and the lake trophic comprehensive index, construct the relationship between the active monoester phosphorus ratio LMP and the lake trophic comprehensive index TLI Model; step d, using the proportion of active monoester phosphorus LMP% to classify and evaluate lake trophic types; the application of the evaluation method is the application of the evaluation method in endogenous release inhibition and / or sediment dredging control projects. The invention establishes the relationship between the active monoester phosphorus ratio LMP% in the sediment and the eutrophication state of the traditional lake, and provides an important way for the relationship between the phosphorus pollution degree in the sediment and the eutrophication degree of the lake body.

The application discloses a signal processing method and device. Deploying a Wi-Fi probe in a preset area, the method includes: collecting a Wi-Fi signal of a device to be detected in the preset area; calculating an average signal of the Wi-Fi signal of the device to be detected within a set period Intensity; determining a dynamic threshold, wherein the dynamic threshold is used as the average signal strength of a preset processing location; and judging whether the target group enters a target place within a preset area according to the dynamic threshold. The present application solves the problem in the prior art that there is a large error in the judgment result of using the unprocessed Wi-Fi probe detection data and the empirical threshold to judge whether the target group enters the target place.

The present invention relates to a drivable space judging device and a method thereof. The drivable space judging device comprises: a laser distance sensor mounted on a vehicle to detect an area at a certain distance in front of the vehicle to generate distance information; a signal processing unit that generates plane distance information from the distance information generated by the distance sensor; a margin stone detection unit that detects edge stones by judging the correlation and similarity between the generated plane distance information and previous plane distance information; and A judging unit that judges whether the curb path detected by the detection unit is within the driving area, and whether the area at a certain distance in front of the vehicle is a space for driving.

The present invention discloses a method for detecting an abnormal link of a remote radio unit and a remote radio unit. The method for detecting an abnormality of a remote radio unit includes: acquiring M pieces of first parameter information of a remote radio unit, wherein each The first parameter information includes at least gateway information or IP information, and M is an integer greater than or equal to 1; each of the M first parameter information is combined with the original parameter information of the remote radio unit Perform matching to obtain a matching result; judge whether the matching result satisfies a preset condition; when the matching result does not meet the preset condition, determine that the remote radio unit link is abnormal.

The invention discloses a method and a system for preventing collision of a robot based on a current method. The method comprises the following steps: acquiring the working current value of a drivingmotor, and comparing the working current value with a corresponding standard current value-position curve, thus obtaining a comparison result of each current; judging whether each part of the robot isin collision or not according to the comparison result of each current. The system comprises a current module, a comparison module and a judgment module, wherein the current module is used for acquiring the working current value of the driving motor; the comparison module is used for comparing the working current value with the standard current value; the judgment module is used for judging whether the robot is in fault or not. According to the method and the system, disclosed by the invention, whether corresponding parts of the robot are in collision or not can be quickly judged through acquiring the working current value of the driving motor, and measures can be taken in time once the robot is in collision, so that automatic monitoring on the robot can be realized, and the safety of life and property can be ensured; the method and the system can be widely applied to the technical field of robots.