14results about How to "Closed loop" patented technology

The invention provides a piezoelectric self-feedback excitation type miniature electric field sensor, an electric field detection method and a sensor, and is applied to the technical field of electric field sensors. The piezoelectric self-feedback excitation type miniature electric field sensor comprises a substrate used for supporting a vibration pickup reference structure, a piezoelectric driving structure, a mutual shielding electric field sensing structure and an elastic beam; the piezoelectric driving structure is used for enabling the piezoelectric driving structure to deform under the condition that driving voltage is applied to the piezoelectric driving structure so as to enable the elastic beam to generate vibration; the mutual shielding electric field induction structure is used for responding to the vibration of the elastic beam, and the mutual shielding electric field induction structure outputs an induction current signal in a differential form so as to suppress common-mode noise and detect the amplitude intensity of a to-be-detected electric field; and the vibration pickup reference structure is used for responding to the vibration of the elastic beam and outputting a reference current signal so as to adjust the magnitude of the driving voltage and enable the output sensitivity of the piezoelectric self-feedback excitation type miniature electric field sensor to be a preset value.

The invention discloses auxiliary safety equipment for a ground rod, which is applied to the field of power equipment and comprises a base, and a detection mechanism is arranged on the surface of the base; according to the invention, the wire of the grounding rod is connected with the hook, and after the hook is hooked on the metal cable, an internal circuit is triggered through the connecting terminal to form a loop, so that a closed circuit is realized; when the circuit is closed, the buzzer gives an alarm, and the main control chip sends a closed-loop signal to the alarm box through the communication module to realize state voice alarm information to inform that the grounding rod is normally hung on the metal cable, so that the purpose of high safety is achieved, and the grounding rod is convenient to use. By moving the clamping rod, the clamping rod is separated from the adjusting hole, after the handle rod is moved to the needed position, the clamping rod is loosened, the clamping rod is clamped with the adjusting hole under the action of the third spring, the length of the handle rod can be adjusted, and practicability and applicability are improved.

The present application discloses a robot testing system, method and computer-readable storage medium. The present application includes a digital twin, a measurement and control entity and a control domain. The digital twin is used to obtain robot characteristics and robot application scenarios. The digital twin is used to establish a robot model and a test environment model based on the robot characteristics and the robot application scenarios; the measurement and control entity is used to obtain the robot model and the test environment model from the digital twin. The measurement and control entity is also used to obtain robot test indicators, and test the operation data of the robot model in the test environment model according to the robot test indicators; the control domain obtains the robot model, the test environment model and the operation data. The present application can establish a simulated robot model to be tested according to the parameters of a real robot, and test the robot model to be tested and the test environment model.

This invention provides a method for producing single-cell protein using a mixed bacterial culture, comprising the following steps: performing primary seed culture on methanogenic bacteria, *Tricholoma materata*, and *Glucosinolate methyl-eating bacteria* to obtain primary seed solutions; mixing the primary seed culture solutions evenly to obtain a mixed bacterial solution; inoculating the obtained mixed bacterial solution into a secondary seed culture medium for cultivation to obtain a secondary seed solution; inoculating the obtained secondary seed solution into a fermentation medium for scale-up cultivation to obtain a fermentation broth; separating the solid and liquid components of the obtained fermentation broth, harvesting the bacterial cells, and obtaining single-cell protein. This method for producing single-cell protein using a mixed bacterial culture improves the utilization rate of the carbon source methane and the yield of single-cell protein.

The present application proposes a lifelong learning method for a neural network model based on a game theory framework, including: obtaining a network driving factor through quantitative expression of environmental entropy and network entropy, promoting changes in network structure, and realizing continuous learning of the network, and maintaining effectiveness, transferability, and continuous evolution when the environment changes in space and time. At the same time, the cost, accuracy, and output of the network are used as feedback information to further help the network adjust its structure, realize data closure, and realize sustainable learning of the network as it evolves over time, thereby realizing stable and effective self-learning. As a result, the present application can continue to learn when the data set undergoes modal and temporal changes, and has strong practical application prospects.

The utility model relates to concrete production equipment monitoring technical field, concretely relates to concrete equipment fault detection device, including fault detection mechanism and remote early warning mechanism, fault detection mechanism is located on concrete equipment, including first controller, multi -parameter detection module (motor current, bearing temperature, hydraulic pressure, conveying belt displacement sensor), first display, first alarm module, first communication module and delay module, are used for gathering operating parameter and carry out local processing, remote early warning mechanism includes second controller, second display, second alarm module and second communication module, and the wireless communication connection between both. When working, first controller compares parameter and preset threshold value, triggers local alarm, parameter is over threshold value and is not recovered after time delay, sends signal to remote, triggers remote early warning and shows fault type and component. The device realizes multidimensional real -time monitoring, avoids false alarm and fault omission, guarantees production safety, and promotes production efficiency.

This invention discloses a panel for detecting histiocytic / dendritic cell tumors based on 10-color multiparameter flow cytometry and its applications. The panel is composed of the following antibodies: CD4, HLA-DR, CD45, CD1c, CD207, CD123, CD56, CD1a, CD3, and CD14. The flow cytometry protocol provided by this invention enables rapid, objective, and quantitative analysis of large numbers of cells, and is particularly suitable for detecting small tumor populations in mixed cell populations or assessing the heterogeneity of antigen expression. This is an important supplement to existing pathological diagnostic systems and provides key evidence for precision medicine.

The application provides a page generation method and device, which can be applied to the fields of computer technology and visual interaction technology. The page generation method comprises the following steps: in response to receiving a triggering operation on a target graphical interface object, parsing a source file of the target graphical interface object to obtain a to-be-run script and target interface information; wherein the to-be-run script is used to control the display state of the target graphical interface object to match the display requirement; the target interface information indicates a transmission interface between a visual monitoring system and a to-be-monitored device for transmitting operation parameters; and a target page for monitoring the operation state of the to-be-monitored device is generated based on the operation parameters by running the to-be-run script.

The utility model relates to the technical field of production of connecting devices, in particular to a spring ejector pin posture adjusting and assembling mechanism which comprises a detection table, a detection adjusting table and a conveying manipulator. The conveying manipulator is arranged between the detection table and the detection adjusting table and is used for conveying the ejector pin; the detection table comprises a detection conveying groove and a first detector, the detection conveying groove is used for receiving the ejector pins conveyed by the feeder, and the first detector is used for detecting whether the ejector pins exist in the detection conveying groove or not; the detection adjusting table comprises an adjusting platform and a second detector, the adjusting platform is used for adjusting the shape of the ejector pin, and the second detector is used for detecting the state of the ejector pin on the adjusting platform. After the first detector confirms that the ejector pin is in place, the conveying manipulator transfers the ejector pin to the detection adjusting table, the adjusting table corrects the posture of the ejector pin, the second detector verifies the ejector pin to be qualified and then outputs the ejector pin, and closed loop of ejector pin posture adjustment and verification is achieved.

This invention provides an online evaluation method for pipeline insulation performance, belonging to the field of pipeline insulation performance monitoring technology. It solves the problem of existing technologies relying on human experience and resulting in inaccurate performance evaluations. This online evaluation method for pipeline insulation performance includes: collecting the measured temperature of the outer surface of the insulation layer, as well as the ambient temperature, wind speed, and the temperature of the medium inside the pipeline; obtaining the comprehensive heat transfer coefficient between the pipeline outer surface and the air under the current environment, and constructing a prediction model for the outer surface temperature of the insulation layer; adjusting the thermal resistance of the insulation layer through an iterative optimization algorithm to minimize the root mean square error between the predicted temperature of the outer surface of the insulation layer obtained from the prediction model and the measured temperature; when the root mean square error is less than a preset threshold, comparing the current thermal resistance of the insulation layer with the design thermal resistance, and evaluating the insulation performance status of the corresponding insulation layer location based on the ratio. This invention ensures accurate and reliable evaluation results of pipeline insulation status under different climates and operating conditions.

The invention relates to the technical field of karst treatment construction, in particular to a self-monitoring karst treatment construction method which comprises the following steps that S1, holes are formed in the ground; s2, a self-sensing FRP rib is put down along the open hole; s3, the self-sensing FRP rib is connected with a strain demodulator; s4, the karst cave and the open hole are subjected to filling treatment; and S5, processing effect detection: S6, carrying out self-monitoring, sensing a data basis provided by the FRP rib, extracting and mining information values through multi-scale features, diagnosing a global health state through graph convolution, carrying out reinforcement learning and optimizing an early warning decision, and capturing a mutation behavior through GRU. The system realizes a sensing-diagnosis-early warning-optimization closed loop through tight coupling of a data stream and an algorithm stream, constructs a self-sensing, self-learning and self-perfecting intelligent karst cave monitoring system, and lays a methodological foundation for intelligent geotechnical engineering.

This invention discloses a starting control method, system, equipment, aircraft, and medium for a propeller-driven aircraft piston engine, relating to the field of aero-engine control technology. The method includes: performing a power-on self-test before starting, checking the minimum propeller blade angle, throttle opening, and fuel pressure; after the self-test, the flight control computer automatically and adaptively controls the starting throttle opening and target starting speed based on altitude and atmospheric static temperature; during starting, status monitoring is performed, towing the engine to a state capable of ignition and fuel injection control; after successful starting, the lubricating oil temperature is determined to automatically set the corresponding throttle opening and warm-up speed; finally, a dual ignition system check and pre-flight condition checks are performed. This invention achieves fully closed-loop adaptive control, effectively overcoming starting difficulties in complex environments such as high altitudes and frigid conditions, eliminating the hidden dangers of starting with defects, and significantly improving the timeliness of the aircraft's maneuverability and operational safety.

The application relates to the technical field of vehicle detection analysis, and discloses a vehicle detection data analysis method and system based on mathematical modeling, which comprises the following steps: comparing the numerical consistency of each mode data of a same space-time point in an aligned multi-source data tensor set, and inversely deducing the failure mode of each sensor according to a preset sensor failure feature mapping rule based on the inconsistent amplitude and direction symbol; performing consistency comparison on a logical credibility vector, a difference attribution result and a cross-domain deviation point identification set; and generating a final vehicle detection analysis result based on a high comprehensive confidence label, a low confidence label, a corrected failure feature mapping rule and a corrected deviation allowance threshold. The application uses the inconsistent amplitude and direction symbol of sensor observation to construct an analytical redundancy residual vector, and inversely deduces the failure mode according to the preset sensor failure feature mapping rule, so that the technical problem that the existing fusion method cannot distinguish the sensor failure type is solved.

The invention discloses an environment-friendly waste gas treatment device based on black adsorption and a method thereof, and mainly relates to carbon production. Comprising a waste gas pipeline connected with a roasting furnace, a flame arrester connected with the waste gas pipeline, a reactor connected with the flame arrester through a pipeline, a purified powder adding assembly connected with the reactor through a pipeline, a powder treatment assembly connected with the reactor through a pipeline, and an adsorption assembly connected with the powder treatment assembly through a pipeline, the forming part is connected with the adsorption assembly through a pipeline. The device has the beneficial effects that the problems of low efficiency, generation of micro waste products and the like of an electrical tar precipitator are solved, calcined petroleum coke powder is sprayed into a pipeline at a high speed through an ejector and is fully mixed with waste gas, and after being fully mixed, the calcined petroleum coke powder enters cloth bag dust removal equipment to be filtered and adsorbed; and the filtered calcined petroleum coke powder adsorbing the waste gas is conveyed into a forming workshop through auger conveying equipment, and ingredients are added again in the forming workshop as a formula of an anode carbon block to prepare a green anode carbon block.