8results about How to "Guaranteed data accuracy" patented technology

The invention discloses a reinforcement learning-driven public building user energy consumption behavior simulation method, which comprises the following steps of: 1, acquiring basic data, and building a simulation environment model for simulating a mapping relationship between a user energy consumption behavior and building energy consumption as well as an environment comfort degree; 2, defining a state space and an action space of the intelligent agent, selecting a depth deterministic strategy gradient algorithm as a core learning algorithm of the intelligent agent, designing a multi-target comprehensive reward function of the core learning algorithm, and embedding a public building energy consumption control target; step 3, using an intelligent agent to interact with a simulation environment, simulating an energy consumption process of a user, and identifying different scenes according to a preset rule; 4, the intelligent agent iteratively updates network parameters in the core learning algorithm based on the number of samples collected in the interaction process, and after training convergence, a user energy consumption behavior optimization scheme is output.

The invention provides a block compression method for marine survey data, electronic equipment and a storage medium. The method comprises the following steps: acquiring marine survey data, wherein the marine survey data comprises text data and image data; according to the data type of the marine survey data, partitioning the marine survey data to obtain a plurality of original data blocks, and partitioning text data in the marine survey data according to a first partitioning size; partitioning image data in the marine survey data according to a second partitioning size; respectively carrying out data compression on each data block in the plurality of original data blocks to obtain a plurality of compressed data blocks, and adopting different compression strategies on repeated character strings and non-repeated character strings in each data block in the plurality of original data blocks; and performing global assembly on the plurality of compressed data blocks according to the sequence of the plurality of original data blocks to obtain target compressed data. The method can give consideration to high compression rate, high compression speed and low resource consumption.

The invention discloses an on-line monitoring and analyzing method for performance parameters of an air preheater, which comprises the following steps of: firstly, setting performance monitoring conditions, and extracting flue gas samples at a flue gas inlet and a flue gas outlet for component analysis; secondly, monitoring parameters are collected, temperature, pressure, flow and gas component collecting devices are installed according to preset positions, and temperature, static pressure, mass flow, the percentage content of O and CO in dry flue gas, atmospheric pressure and relative humidity parameters are collected; next, calculating performance parameters, and respectively calculating air leakage, non-diluted flue gas outlet temperature, energy balance, mixed air temperature, temperature difference, thermal efficiency, pressure drop and average pressure difference based on the collected parameters; and finally, comparing a test value with a design value: calculating a thermal operation margin according to an ASME equation and the correction curve, correcting air leakage and pressure drop, comparing with the design value, and evaluating the performance state of the air preheater. The problems that traditional offline monitoring is discontinuous and existing online monitoring is incomplete are solved, and data support is provided for equipment operation and maintenance.

The utility model belongs to instrument installation structure technical field especially relates to a in situ laser gas analysis instrument cooling installation structure. Including in situ laser gas analysis instrument head, cooling chamber, gas source input pipe, vortex pipe, gas output pipe, cooling chamber is casing structure, and the left and right sides are provided with power cord connecting hole and signal line connecting hole respectively, and the back is provided with meter head hole, and the front side is provided with observation window, and in situ laser gas analysis instrument head sets up in the middle of cooling chamber, and gas source input pipe is connected to vortex pipe high pressure gas entrance, and vortex pipe's cold gas output pipe is connected to air inlet hole, and gas output pipe is connected to air outlet hole. The application can effectively isolate and protect the meter head structure that is easily damaged under high temperature environment in high temperature environment, and then can continue to use it in high temperature environment, guarantee each electrical element in lower working environment, guarantee its data precision, improve its performance.

The embodiment of the invention provides an image feature quantification method and a storage medium, and relates to the technical field of model quantification. The method comprises the following steps: acquiring image features of a to-be-processed image extracted by a deep learning model, and grouping the image features to obtain multiple groups of image features; for each group of image features, calculating a sharing index and a sharing mantissa of the group of image features based on a preset sharing index bit width and a preset sharing mantissa bit width; for each image feature, calculating a private index and a private mantissa according to a preset private index bit width, a preset private mantissa bit width, and a sharing index and a sharing mantissa corresponding to the image feature group to which the image feature group belongs; and for each group of image features, non-linearly representing the group of image features by taking the sharing index and the sharing mantissa of the group of image features as a common part and taking the symbol, the private index and the private mantissa corresponding to each image feature as a private part. The data range difference of the image features of different areas is reflected, and the data precision is ensured.

The present application relates to river monitoring technical field, disclose a kind of multi-scale base flow monitoring method, device, electronic equipment and storage medium, the present application is by non-contact multi-source collaborative monitoring, including satellite remote sensing, synthetic aperture radar, microwave radar etc., effectively overcome the defect that traditional contact type measurement is easily destroyed by flood, affected by silt accumulation in hilly and mountainous area, on this basis, with water level this continuity strong and with cross-scale representative key parameter as core, it realizes site millimeter level resolution, river section centimeter level inversion accuracy and watershed ten-meter level satellite coverage Multi-scale collaborative continuous observation.Simultaneously, through long-term monitoring and algorithm optimization, based on the improved digital filtering method to form the complete technical closed loop from water level observation, flow calculation to base flow, provide efficient, accurate and generalizable systematic solution for base flow monitoring.

This invention discloses a shipboard hydrological survey winch, belonging to the field of marine deck machinery technology. It includes a base, a drum, a drive motor, a fixed plate, a set of stiff springs, a set of soft springs, and a movable plate. The fixed plate is fixed to the deck and has a central through-hole. The stiff spring set includes multiple sets of stiff spring units composed of a first spring and a first hydraulic cylinder, and the soft spring set includes multiple sets of soft spring units composed of a second spring and a second hydraulic cylinder. The stiff spring set has a higher stiffness than the soft spring set. The base is slidably mounted on the deck via guide rails, and the movable plate is connected to the base via a sliding column. The stiff spring set and the soft spring set are sandwiched between the fixed plate and the movable plate. An accelerometer detects the vertical undulation displacement of the hull, and a strain gauge detects the tension on the sliding column. The controller dynamically controls the extension, retraction, and locking of the hydraulic cylinders based on the detection data, so that the greater the undulation displacement, the more soft spring units are engaged; the greater the tension, the more stiff spring units are engaged. This invention solves the problem of the non-adjustable stiffness of traditional integrated spring bases.

The application relates to the technical field of satellite communication, and discloses a satellite searching system and method of a ground terminal, the system comprising: a master device with a first antenna and a second antenna, the first antenna being used for communication with a slave device, and the second antenna being used for receiving a low-orbit satellite beacon signal; the slave device with a first antenna and a second antenna, the first antenna being used for communication with the master device, and the second antenna being used for receiving a satellite beacon signal; a synchronization module used for synchronizing the clocks of the master device and the slave device; and a master device calculation module used for calculating the position of a satellite in a master device coordinate system in combination with the position of the slave device. According to the application, the first antenna is used to realize the intercommunication between the master device and the slave device, the time stamp data of the slave device is used, the master device calculates the accurate position of the satellite according to the time difference and the position, and the positioning problem when ephemeris information is lost or cannot be updated in real time is solved.