34results about How to "Data deviation is small" patented technology

The invention discloses a greenhouse environment monitoring system with remote calibrations and a redundant network and a monitoring method thereof. The greenhouse environment monitoring system with the remote calibrations and the redundant network comprises a terminal node which comprises a sensor sequence, a first processor, an actuator and a first wireless communication link, a coordinator which comprises a second wireless communication link and a second processor, a display terminal which is use to display output information of the second processor, and a communication terminal which carries monitoring data information in note mode. The greenhouse environment monitoring system with the remote calibrations and the redundant network and the monitoring method thereof are used to achieve self monitoring and self controlling of greenhouse environment elements, and simultaneously solve the problems that an existing greenhouse environment monitoring system is poor in network stabilization and low in detection data reliability of a sensor.

The invention relates to a user preference determination method and device, electronic equipment and a storage medium, and relates to the technical field of big data. The user preference determinationmethod comprises the steps: obtaining user behavior data associated with various types of objects, and determining a label of a user for the preferences of the various types of objects based on the user behavior data, so as to construct a data set; according to the user behavior data in the data set and the determined label, generating sample data for the various purposes; training a machine learning model through the sample data corresponding to each category to obtain a classification probability value corresponding to each category; and determining the category preferred by the user according to the classification probability value corresponding to the category. According to the invention, the accuracy of user preference determination can be improved.

The invention discloses a sample preparation method and a compaction device for immature soil base materials. The method comprises the steps that the interior of a mold is coated with a lubricating oil layer, the immature soil base materials are put into the mold layer by layer, the immature soil base material layers in the mold are compacted through a jack every time one layer of immature soil base material is laid, and therefore a sample to be detected is obtained; the compaction speed of the jack is 0.5 mm/s, the compaction pressure of the jack is 18-19 K/N, and the compaction time of the jack is 3-5 min; the compaction device comprises a test bed, the test bed is sequentially provided with a first platform and a second platform in parallel in the horizontal direction from top to bottom, the second platform is coaxially provided with the jack, a gasket, the mold and a pressing column in sequence from bottom to top in the vertical direction, and the top end of the pressing column abuts against the first platform. Compared with a traditional hammer test, a press compaction test and a jack compaction test, the compressive strength of a test piece compacted by the jack is more stable than the compressive strength of a test piece compacted by the other two test methods, test piece overall deformation is good, and the test piece has good ductility when compacted.

The invention provides a dry powder inhaler shell capable of detecting the flow rate of medicine inhaling. The shell comprises an inhaler shell body in the prior art, a containing cavity for installing an integrated circuit board is additionally arranged on the inhaler shell body, and a pressure sensor is installed on the circuit board and used for detecting the inhaling flow speed of a patient inreal time and displaying the flow speed on display equipment so that the patient can adjust the inhaling flow speed in real time according to the information on the display equipment. A position sensor, a direction sensor, a buzzer and an LED lamp are additionally arranged, so that detection items of the dry powder inhaler shell are further improved, visibility of the patient on the detection items is ensured, the patient can conveniently adjust application and operations in real time according to detection results, and it is guaranteed that the patient can correctly use a dry powder inhalerprovided with the dry powder inhaler shell. The shell of the dry powder inhaler is directly replaced, so that the patient conveniently uses the dry powder inhaler shell, it can be ensured that the patient takes a sufficient quantity of medicine for controlling or healing diseases, and the conflicts between doctors and patients are greatly reduced.

The invention discloses an electric power system and an electric power market participant risk assessment system. The electric power system comprises an electricity quantity acquisition device, a line loss acquisition device, an input controller and a background processing device, wherein the electricity quantity acquisition device acquires the electricity consumption amount of a user and the transmission electricity quantity of each level of power grid; the line loss acquisition device acquires a line loss electricity quantity; the input controller inputs the name of an electricity quantity to be determined; and the background processing device calculates the electricity quantity to be determined. The electric power market participant risk assessment system also comprises a market acquisition device, a model establishment unit, an index determination unit, an index screening unit and a pressure test unit, wherein the market acquisition device acquires market information data; the model establishment unit establishes a behavior model of the electric power market participant; the index determination unit determines a pressure-bearing index and a risk index; the index screening unit screens a key risk index which has a high influence degree on a pressure-bearing index variable; and the pressure test unit evaluates the risk to which the participant faces under an extreme condition. Therefore, through the flexible acquisition of the electricity quantity and the pressure test, the risk to which the electric power market participant faces under the extreme condition can be effectively evaluated.

Embodiments of the disclosure provide infectious disease population prediction method and apparatus, electronic equipment and a computer-readable storage medium. The invention belongs to the technicalfield of medical care data. The prediction method includes: modifying original medical data related to a target disease to acquire a modified data corresponding to the original medical data; determining multi-dimensional characteristic data by combining the modified data and associated data corresponded to the target disease; and predicting the multi-dimensional characteristic data by means of reference duration before target time, so as to determine the number of cases belonging to the target disease directing at the target time. By means of the embodiments, the accuracy of prediction of thenumber of cases is increased.

The invention relates to a touch panel and a method for determining the ground wire position inside the touch panel. The touch panel comprises a substrate, a drive layer and a sensing layer are sequentially arranged on one side of the substrate, the drive layer comprises a first grounding wire, a second grounding wire and multiple drive electrodes, the sensing layer comprises multiple sensing electrodes, a first capacitor area, a middle capacitor area and a second capacitor area are included between the sensing layer and the drive layer, and the capacitance error between the first capacitor area and the middle capacitor area and the capacitance error between the second capacitor area and the middle capacitor area are both smaller than 2%. According to the touch panel and the method for determining the ground wire position inside the touch panel, the data deviation of the edge point and middle part of a sensor is decreased by means of precise arrangement of a ground wire, and therefore the whole quality of a product is improved.

A method for predicting wellbore temperature by region section based on cementing big data includes statistics of electric logging data of the block or adjacent blocks, structured design of data, establishment of cementing big data, data mining, and establishment of temperature prediction of each opening wellbore one by one by piecewise multiple regression geothermal gradient using progressive method. The invention can improve the accuracy of wellbore temperature prediction and avoid engineering and safety accidents caused by excessive wellbore temperature prediction error.

The invention provides a transformer cooling device, the transformer cooling device is arranged on a transformer cooling fin, the transformer cooling device comprises a temperature acquisition module, a temperature control module and a cooling processing module, the temperature acquisition module is arranged at the upper part of the transformer cooling fin, the temperature acquisition module is also connected with the temperature control module. And the cooling processing module is connected with the temperature control module. The invention further provides a transformer cooling method, a temperature reference value is set, the temperature data of the transformer are collected, then the temperature data and the temperature reference value are compared through the temperature control module, whether the valve is opened or not is determined, and if the valve is opened, cooling water flows to the cooling fin of the transformer for cooling. According to the transformer cooling device and method, a water cooling method is adopted, the influence of environmental factors on the heat dissipation efficiency is eliminated, the heat dissipation efficiency is effectively improved, the model type of the transformer is not required, and the transformer does not need to be changed.

The invention belongs to the technical field of medical supplies, and discloses an intelligent pressure reduction device of gastrointestinal juice for general surgery. The device comprises an internal pressure detector, a metal probe, a drainage tube, a sleeving connector, an induction controller, a shrinking machine and a negative pressure drainage instrument. The shrinking machine is clamped to the outer side of the negative pressure drainage instrument, and the induction controller is arranged on one side of the upper end of the shrinking machine; the drainage tube is connected to the sleeving connector at the top of the negative pressure drainage instrument in a sleeving mode, the metal probe is connected to the tail end of the drainage tube in a sleeving mode, and the internal pressure detector is connected to one side of the metal probe in a pin joint mode. According to the intelligent pressure reduction device, after the metal probe is placed into the stomach of a patient, the internal pressure detector detects the pressure of the gastrointestinal juice automatically, and the induction controller receives signals and controls the shrinking machine to conduct corresponding work. According to the intelligent pressure reduction device, the pressure of the gastrointestinal juice of the patient can be reduced properly, the excess or interference situation of manual pressure reduction is avoided, the working efficiency is improved, and the intelligent pressure reduction device has great popularization significance.

The invention provides a steel rolling power consumption parameter recommendation method and system. The method comprises the steps of constructing a power consumption parameter data set, and selecting an optimal model from a plurality of preset models according to the power consumption parameter data set; performing importance screening on parameters in the power consumption parameter data set through the optimal model, constructing an important feature data set, and training the optimal model through the important feature data set to obtain a power consumption recommendation algorithm model; and selecting a plurality of discrete points from the power consumption parameter data set according to the charging temperature, constructing a discrete point set, taking the discrete point set as the input of the power consumption recommendation algorithm model, and obtaining a parameter with a minimum power consumption value as a power consumption recommendation parameter. According to the steel rolling power consumption parameter recommendation method and the system, and the accuracy of power consumption parameter setting can be effectively improved.

The embodiment of the invention discloses a matrix data processing method and device and a storage medium. The method comprises the following steps: determining a first training matrix from a first spectrum matrix associated with a host, and determining a second training matrix from a second spectrum matrix associated with a slave; performing data preprocessing on the first training matrix and thesecond training matrix to obtain a first processing matrix and a second processing matrix; performing fixed half-window expansion on the second processing matrix to obtain a first expansion matrix, and performing feature reconstruction on the first expansion matrix to obtain a first feature matrix; training an initial regression model according to the first processing matrix and the first featurematrix to obtain a target regression model carrying a transfer coefficient matrix F; and obtaining a third spectral matrix associated with the slave, and predicting to obtain a target spectral matrixassociated with the host according to the third spectral matrix and the target regression model. By adopting the embodiment of the invention, the cross-equipment transfer capability of the sample canbe improved.

The invention relates to the field of target scattering point echo model estimation, in particular to a scattering point model parameter estimation method based on target echo intensity sorting. According to the method, more original signal data are used for participating in model pole estimation, descending sorting is carried out on the calculated model coefficients, a plurality of previous larger coefficient values are intercepted according to the calculated model order, and finally, a target scattering point echo model is established, so that the extrapolation data accuracy is higher.

The invention discloses a novel measuring ruler comprising a first pipe body and a second pipe body. The first pipe body and the second pipe body are movably connected by a screw. The left end of thesecond pipe body is movably connected with a scale through a pin. Nuts are fixedly installed at the right ends of the first pipe body and the second pipe body. The inside of each nut is in threaded connection with a rod body. Each rod body is provided with a thread matching the corresponding nut. One side of the first pipe body and one side of the second pipe body facing each other are movably connected with vertical rods through rotating shafts. A box body is arranged in a penetrating manner at the opposite ends of the two vertical rods. Through the setting of the first pipe body, the secondpipe body, the screw, the pin, the scale, the nuts and the rod bodies of the novel measuring ruler, the bottom of the screw can be easily measured in spinal operation, the deviation of measured data is small, the scale lines are movable, and the distance is proportional. The novel measuring ruler is easy to process, and costs low. The novel measuring ruler is easy for users to operate and use, andfacilitates measurement in operation.

The invention discloses a low-voltage distributed photovoltaic output estimation method in the technical field of power system automation, and aims to solve the problems that in the prior art, low-voltage distributed photovoltaic information collection is poor in real-time performance, data delay is more than one hour, real-time information is lost, and scheduling control requirements cannot be met. The method comprises: acquiring reference station output at a current moment; according to the output of the base station at the current moment and in combination with a predetermined association relationship between the marketing low-voltage distributed photovoltaic output and the output of the base station, matching the association relationship between the marketing low-voltage distributed photovoltaic output at the current moment and the output of the base station; estimating the low-voltage distributed photovoltaic output at the current moment according to the reference station output at the current moment and the association relationship between the matched marketing low-voltage distributed photovoltaic output at the current moment and the reference station output; the method is suitable for a power dispatching system, minute-level observation of low-voltage distributed photovoltaic output can be achieved, real-time performance is good, equipment investment does not need to be increased, and the actual application value is high.