12results about How to "Reduce invalid operations" patented technology

The application discloses a hydrogen production and hydrogenation integrated station control method, which comprises hydrogen production equipment, a hydrogen buffer tank, a first-stage compressor, a first-stage hydrogen storage tank, a second-stage compressor, a second-stage hydrogen storage tank and hydrogenation equipment which are sequentially connected; during hydrogenation, the hydrogen production equipment, the first-stage compressor, the second-stage compressor and the hydrogenation equipment are controlled to work according to the relationship between the pressures of the hydrogen buffer tank, the first-stage hydrogen storage tank, the second-stage hydrogen storage tank and the hydrogenation equipment when the hydrogenation equipment works and the maximum filling pressure allowed for the hydrogenation equipment, the first preset pressure, the second preset pressure, the maximum allowable working pressure of the second-stage hydrogen storage tank, the fourth preset pressure, the minimum inlet air pressure of the first-stage compressor, the maximum allowable working pressure of the first-stage hydrogen storage tank, the third preset pressure, the maximum allowable working pressure of the hydrogen buffer tank and the minimum inlet air pressure of the second-stage compressor. The application realizes on-demand start and stop of hydrogen production, reduces loss, prolongs the service life of equipment, reduces cost and production hidden danger.

The application discloses an efficient and energy-saving indoor air environment optimization method and device, relates to the air conditioning technical field, and comprises the following steps: calculating an indoor-outdoor temperature difference sequence, deriving a first personnel oxygen consumption rate sequence and a second personnel oxygen consumption rate sequence, and calculating a comprehensive oxygen consumption rate sequence by weighting; predicting an oxygen consumption rate sequence in a future time window based on a current time period and the comprehensive oxygen consumption rate sequence; performing oxygen production unit working quantity optimization according to the predicted oxygen consumption rate sequence and a predicted indoor-outdoor temperature difference sequence in the future time window, outputting an optimal oxygen production unit working quantity sequence, and performing oxygen supply control on a split oxygen generator in the future time window. The technical problems that the prior art cannot predict indoor oxygen consumption changes in advance, the personnel oxygen consumption rate calculated by a single data source has low accuracy, and it is difficult to balance oxygen supply quality and energy saving are solved.

The invention relates to an anti-fogging self-cleaning laparoscope which is characterized in that a transparent glass sheet is fixedly arranged at the outer end of an objective lens at the far end of the laparoscope, and a closed carbon dioxide gas groove is formed in a gap between the transparent glass sheet and the objective lens; an air inlet pipeline is fixed along the inner wall of an outer tube of the laparoscope, a corresponding air inlet hole is formed in the near end of the air inlet pipeline, and the far end of the air inlet pipeline penetrates through the objective lens and extends into the carbon dioxide gas groove; a gas outlet pipeline is fixed along the inner wall of the outer tube of the laparoscope, the far end of the gas outlet pipeline extends into the carbon dioxide gas groove, and the near end of the gas outlet pipeline exhausts gas through a gas exhaust hole; and the air inlet is externally connected with a carbon dioxide air source. The laparoscope solves the technical problems that an existing laparoscope is prone to causing fogging of an objective lens and infection of tissue fluid in a minimally invasive abdominal surgery, consequently, the surgical field is blurred, and surgical operation needs to be interrupted due to the fact that a real-time processing function does not exist.

The invention discloses a table detection method and device, equipment and a storage medium, and relates to the technical field of table processing. The method comprises the following steps: screening out a plurality of ring nodes from each column node of a to-be-processed table, wherein at least two ring nodes in the plurality of ring nodes form a ring dependency relationship; and under the condition that the plurality of ring nodes have the cells forming the ring dependency relationship, determining the plurality of ring nodes as the nodes which cannot be processed. Through the technical means, whether part or all of the cells form the ring dependency relationship or not can be judged in the plurality of column nodes forming the ring dependency relationship, so that the plurality of column nodes can be judged as nodes which cannot be processed when the cells form the ring dependency relationship, the problem that false ring dependency is mistakenly recognized as real ring dependency in the prior art is solved, and the reliability of the system is improved. And the number of times of manually correcting the inter-column dependency relationship by the user is reduced, and the automatic calculation efficiency of the multi-dimensional table is improved.

This invention relates to the field of nylon 3D printing technology and discloses a rapid method for fine-smoothing the surface of complex nylon 3D printed structural parts. The method first acquires surface characteristic data of the nylon 3D printed structural parts, and based on this, generates a surface treatment point set and a surface treatment path direction; calculates a surface roughness stability factor, and constructs a surface smoothness change prediction network; then sets a surface defect perception mode and a smoothing mechanism, and performs surface smoothness control according to the smoothing mechanism, finally generating a surface treatment result containing surface treatment data packets and surface treatment signals. This method, through precise perception of surface characteristics, intelligent planning of processing paths, and dynamic control of the processing process, can specifically address issues such as layer textures and defects on the surface of complex structural parts, improving processing efficiency and surface quality consistency, and is applicable to the surface treatment of complex nylon 3D printed structural parts.

The present specification provides a storage method and device of configuration information, the method comprises: reading the to-be-stored rule entry configuration information recorded in the to-be-stored rule management structure, the to-be-stored rule management structure maintains the existing and not stored rule entry configuration information, the to-be-stored rule entry configuration information is the to-be-stored rule entry configuration information in the global rule management structure, and the global rule management structure maintains the existing rule entry configuration information;Iterate the to-be-stored rule entry configuration information recorded in the to-be-stored rule management structure, and persist the iterated to-be-stored rule entry configuration information.

The invention discloses a gas pipeline aligning device, and relates to the technical field of petroleum and natural gas pipeline construction, the gas pipeline aligning device comprises two groups of aligning clamps, one ends of the two groups of aligning clamps are movably connected with each other, each group of aligning clamps is provided with two aligning rings, and the positions, far away from the movable connecting ends, of the two groups of aligning clamps are fixedly provided with base plates; when the device is used, the two sets of opening aligning clamps are buckled to the opening aligning positions of two pipelines, the two sets of opening aligning clamps are adjusted and driven through the hydraulic device to complete preliminary buckling, the two sets of opening aligning clamps are clamped to the opening aligning positions of the two pipelines, the opening aligning clamps are clamped to the opening aligning positions of the two pipelines, and the opening aligning clamps are clamped to the opening aligning positions of the two pipelines through the hydraulic device. And the driving handle is rotationally adjusted, so that the driving handle drives the driving rod to rotate through the adjusting groove in the bottom of the main adjusting column, and the ejector rod is spirally jacked, so that the fine calibration operation can be quickly completed, and the pipeline alignment convenience and firmness are effectively improved.

The present application relates to the field of data acquisition, and relates to a power distribution system multi-data fusion acquisition method based on artificial intelligence. The present application acquires the values of high-frequency electrical parameters and low-frequency environmental parameters corresponding to each acquisition device in the power distribution system in real time, judges whether there is a transient mutation, if there is, obtains the trend consistency index with the adjacent acquisition device to judge whether the corresponding acquisition device is normal, if normal, prioritizes the abnormal parameters, and sequentially performs intelligent filtering processing on the tracking acquisition data of each abnormal parameter, when the fault characteristic signal is identified, the transient mutation value of each abnormal parameter is retained, otherwise, the corresponding transient mutation value is removed, the clock drift between each acquisition device is compensated using a unified time reference, the characteristic data stream referenced by high frequency and low frequency is generated respectively, and uploaded to the cloud analysis platform and mapped to each device node, so that the data acquisition is more accurate and reliable, and provides support for accurate analysis.

This invention discloses a harmless wastewater resource treatment device for diseased and dead livestock and poultry carcasses, belonging to the field of wastewater treatment technology. To address the problem that existing wastewater resource treatment devices lack a dynamic extrusion mechanism, leading to the easy mixing of the separated oil phase with the aqueous phase and affecting subsequent treatment, this invention includes an air flotation oil removal component. The air flotation oil removal component is fixedly connected to one end of an output pipe, the other end of which is fixedly connected to one end of a valve. The other end of the valve is fixedly connected to a liquid storage tank assembly, which is connected to an extrusion component. The liquid storage tank assembly is fixedly connected to one end of a conveying pipe, the other end of which is fixedly connected to one end of a hydraulic pressure chamber, and the other end of the hydraulic pressure chamber is fixedly connected to one end of a double-conical tube. During wastewater treatment, this invention utilizes a pneumatic extrusion component to preferentially separate the lower aqueous phase through top-down extrusion, reducing the mixing of oil and grease into the aqueous phase and improving separation purity.

The invention relates to the technical field of three-dimensional model data management, in particular to a visual three-dimensional model modeling method and system for a silica gel product. The method comprises the following steps: collecting entity size data, material elastic rebound parameters and product deformation data under preset pressure of a silica gel product; constructing an initial three-dimensional model of the silica gel product based on the entity size data, and marking a structure stress node position of the initial three-dimensional model; according to the position of the structure stress node, positioning the structure stress node corresponding to the deformation data in the initial three-dimensional model; and establishing a stress deformation mapping relation between the structure stress node and the product deformation data based on the material elastic rebound parameter, driving the corresponding area of the initial three-dimensional model to deform, and generating a visual three-dimensional model reflecting the elastic characteristic of the silica gel product. By means of the three-dimensional modeling technology, real restoration of the elastic characteristic of the silica gel product is achieved, and the goodness of fit between the visual three-dimensional model of the silica gel product and actual product deformation is improved.

The invention relates to a business handling method and device, equipment, a storage medium and a program product. The method comprises the following steps: receiving intention description information and target voucher information input by a user for a to-be-handled service; the target voucher information is used for representing voucher materials which can be provided by the user for the to-be-handled business; calling a pre-trained large language model, and performing intention classification on the intention description information based on service description information corresponding to a plurality of preset standard services to obtain a first candidate service result; calling the pre-trained large language model, and performing matching degree identification on the target credential information based on necessary credential information required by a plurality of standard businesses to obtain a second candidate business result; and sending the first candidate service result and the second candidate service result to an interaction terminal, wherein the first candidate service result and the second candidate service result are used for determining a target service to be handled. By adopting the method, the business handling efficiency can be improved.

The application discloses a context-aware intelligent key response method. The method comprises: obtaining current context information, including at least one of a current foreground application, a user-selected content type, and a selected content feature; based on the context information, filtering and recommending functions from preset AI functions such as translation, polishing, proofreading, intelligent response, intelligent screenshot, image processing, conference recording, and audio / video transcription through correlation scoring; in response to a first trigger operation of a mouse physical key, displaying the recommended functions in the form of a floating menu near the cursor; and in response to user wheel switching and confirmation of execution through a second trigger operation. The application supports configuring preferred functions for specific applications or content types, and realizes personalized recommendation. The application integrates AI functions in the mouse physical key, and interacts with the wheel through context-adaptive recommendation, significantly improving the AI function calling efficiency and user experience, and is suitable for chat, document editing, image processing, and other desktop application scenarios.