34results about How to "Reasonable optimization" patented technology

The invention relates to an automatic production line optimization method based on cache region capacity calculation, belongs to the technical field of automatic production line optimization design, and solves the problems of production line logistics blockage, low production efficiency, complex cache region capacity formula and low precision caused by incapability of eliminating equipment failure rate in the prior art. The method comprises the following steps: determining production parameters and key section bottleneck procedures of an automatic production line; establishing an automatic production line simulation model according to the process flow of the initial production line and the factory layout, loading production parameters of each procedure, and then running to obtain a production efficiency evaluation index; changing the numerical values of the production parameters of each procedure, re-operating the model, and determining factors influencing the production efficiency of the production line and optimization numerical values according to a simulation result; arranging cache regions on the two sides of the bottleneck procedure of the key section respectively, operating the model again, and obtaining the cache region capacity which does not affect the production efficiency of the production line; and updating the initial production line as an optimized production line.

The invention discloses a compressed sensing LASAR sparse linear array optimization method based on low coherence. The method is characterized in that coherence characteristic of a measurement matrix in the compressed sensing theory is utilized as a reference basis for compressed sensing LASAR sparse linear array optimization; and on the basis of minimum of coherence of the compressed sensing measurement matrix in a LASAR system, and by means of a Fourier transform iterative search method, compressed sensing LASAR sparse linear array antenna array element distribution optimization design is realized, more reasonable sparse linear array optimization is realized, and imaging performance of the compressed sensing LASAR system is improved favorably. The method provided in the invention is also suitable for other sparse linear array antenna optimization technical fields based on compressed sensing.

The invention discloses a camera distortion calibration method on the basis of multiple constraints, belongs to the field of image processing and computer visual inspection and particularly relates to distortion correction in the field calibration process of parameters in a camera in a large-scale forged piece size measurement system. The calibration method utilizes projective invariance of a straight line, i.e. projected line segments corresponding to linearity and parallel lines are guaranteed to be crossed at a hidden point, and inherent characteristics in pure translation two-view geometry, i.e. the antisymmetry characteristic of the epipolar constraint and a basic matrix, to enable optimization of the parameters of the camera to be more reasonable; a target is controlled to be positioned at different positions in a view field when the camera is in different postures in the active visual calibration process and finally, the target equivalently covers the integral view field; and comprehensive solution of a distortion coefficient is carried out according to one large-scale target so as to avoid miscellaneousness of the measurement system. According to the invention, influence of distortion on estimation of the basic matrix and parameter calibration of the camera can be eliminated; and the camera distortion calibration method can be well applied to the field calibration of the camera in the large-scale forged piece size measurement system.

The invention provides a medium-heat lining concrete water cooling method based on a maximum inner surface temperature difference age. The medium-heat lining concrete water cooling method is characterized by comprising the following steps of step 1, collecting temperature control data of medium-heat cement concrete in a lining structure; step 2, calculating the maximum inner surface temperature difference generation age d [delta] tm =-0.66*H+0.0004*C-0.0088*T0-0.0068*Tg+5.02 of the hot cement concrete in the lining structure, wherein H is the thickness of the hot cement concrete in the liningstructure; C is the strength grade of the hot cement concrete in the lining structure; wherein T0 is the pouring temperature of the hot cement concrete in the lining structure; wherein Tg is the watercooling equivalent water temperature value, Tg=35-Tw, and Tw is the water cooling water temperature; step3, determining the water cooling time dj based on d [delta] tm, and step 4, further optimizingwater cooling measures of the hot concrete in the lining according to the water cooling time dj, and scientifically and reasonably realizing temperature cracking.

The invention provides a temperature control anti-cracking method for hot cement concrete in a lining structure. The temperature control anti-cracking method is characterized by comprising the following steps: step 1, collecting temperature control data of the hot cement concrete in the lining structure; 2, calculating the highest temperature generation age dtm in the hot cement concrete in the lining structure, wherein dtm = 0.19 * H + 0.0083 * C-0. 0322 * T0-0. 0047 * Tg + 2.9, and H is the thickness of the concrete, C is the concrete strength grade, t0 is the concrete pouring temperature, Tg is a water cooling equivalent water temperature value, Tg = 35-Tw, and Tw is a water cooling water temperature; and step 3, determining water cooling time dj based on dtm, and then further optimizing a lining moderate heat cement concrete temperature control anti-cracking measure scheme according to the water cooling time dj. Temperature control anti-cracking is conducted on the hot cement concrete in the lining structure through the method, the durability of the lining structure can be effectively improved, and the service life of the lining structure can be effectively prolonged.

The invention provides a time division-synchronous code division multiple access (TDSCDMA) signal test practical training platform device, which comprises a signal acquirer, a monitoring module and a test module, wherein the signal acquirer is used for acquiring a TD-SCDMA wireless signal parameter and outputting the TD-SCDMA wireless signal parameter to the monitoring module; the monitoring module is used for sending the received TD-SCDMA wireless signal parameter to the test module, executing corresponding signaling operation according to received signaling and sending a signaling operation result to the test module; and the test module is used for displaying the received TD-SCDMA wireless signal parameter, selecting the corresponding signaling according to an input command, sending the signaling to the monitoring module and displaying the signaling operation result. By the platform device, a beginner who is not familiar with running and optimization of a TD-SCDMA network can gradually know well a network optimization process and comprehensively learn about parameters in the TD-SCDMA network running and optimization process; furthermore, after the acquired TD-SCDMA wireless signal parameter is analyzed, the TD-SCDMA network can be rationally optimized; and a corresponding solution can be supplied to construction of TD-SCDMA.

A self-service peeling juicer comprises a fruit storage and lifting device and a self-adaptive fruit peeling device. The fruit storage and lifting device is provided with a lower storage box and capable of lowering fruit supplying difficulty. The self-adaptive fruit peeling device is capable of peeling to-be-juiced fruits to increase juice yield. A discharging device is provided with a temporary storage chamber and a waste juice collection cup, reasonable optimization treatment of residual juice in juicing can be realized, and accordingly saving is realized to the greatest extent.

The invention discloses a carbide drill machining and manufacturing method, and belongs to the field of aviation and aerospace difficult-to-machine materials. The original drill tip form is changed, a composite form drill tip is innovatively researched and developed, and the cutting angle of a cutter is optimized through statistical analysis of cutting test data, so that a special novel drill cutter is formed to be mainly used for drilling machining of products made of high-temperature alloy, low-expansion alloy steel and ceramic composite base materials; and a design and manufacturing method for innovating the shape of the drill tip in a targeted mode and optimizing the angle of the cutter is used for meeting the requirement for drilling machining of products made of difficult-to-machine materials in scientific research and production. The cutting angles of the drill are reasonably compared through experiments, and the optimal machining angle is selected, so that wear resistance is achieved; on the other hand, a stepped cutting edge is added, so that the situation that the drill is damaged and scrapped due to the fact that the temperature of the drill is too high since the drill always uses a first cutting edge for machining is prevented; and optimization is reasonable, practicability and reliability are achieved, difficult-to-machine materials can be effectively drilled, and the blank in the field of the method in China is filled.

The invention discloses an in-school and out-school management system based on remote education, belongs to the field of in-school and out-school platforms, relates to a remote education management technology, and is used for solving the problems that the in-school and out-school platforms are low in management efficiency and cannot comprehensively perform platform management. The server is in communication connection with a remote quality analysis unit, an operation analysis unit and a safety analysis unit; real-time quality analysis is carried out on remote education of the campus platform, the real-time quality of current remote education is judged, so that the working efficiency of the remote quality is analyzed, the management efficiency of the campus platform is improved, the operation state of the campus platform is analyzed, and whether the education operation of the current campus platform is qualified or not is judged; therefore, the management strength of the on-off campus platform is effectively improved, the operation of the on-off campus platform can be reasonably monitored and optimized, and the working efficiency of the on-off campus platform is indirectly improved; and analyzing the safety of the corresponding on-off campus platform so as to analyze whether the on-off campus platform has a safety risk or not.

The invention relates to a laser radar, which comprises a laser emitting mechanism, a laser receiving mechanism and a light scanning mechanism. The laser emitting mechanism and the laser receiving mechanism are longitudinally isolated. The light scanning mechanism comprises a reflecting mirror mechanism and a motor, the reflecting mirror mechanism is installed on the motor, the motor drives the reflecting mirror mechanism to rotate, and the reflecting mirror mechanism is longitudinally divided into a transmitting end reflecting mirror and a receiving mirror. The laser emitting mechanism emits linear laser with a preset angle. The linear laser is reflected to a detected object through the transmitting end reflecting mirror, the detected object performs diffuse reflection on the light, and the light subjected to diffuse reflection is reflected back to the laser receiving mechanism by the receiving mirror to complete measurement. The system is stable and miniaturized through the arrangement and assembly mode of the system, and the requirement for a large view field can be met.

The invention discloses a process for preparing a pressed high borosilicate glass product. The process is characterized by comprising the following steps: S10, performing melting, namely putting glassingredients into a glass melting furnace, and performing heating so as to obtain molten glass; S20, performing pressing molding, namely pressing the molten glass by using a mold so as to obtain a container, wherein the upper end of the container is opened, and the lower end of the container is closed; S30, performing annealing, namely performing annealing treatment on the container; S40, performing cutting, namely performing cold cuttingtocut off the closed part of the container so as to open the lower end of the container; S50, performing flat grinding, namely grinding the cut surface at theopening in the lower end of the container to be flat; S60, performing preheating, namely preheating the container at a preheating temperature lower than 720 DEG C; S70, performing clinkering, namelyperforming hot melting heating on the cut surface of the container, so that micro cracks in the cut surface of the container are made up due to hot meltingso as to form a smooth surface; and S80, performing annealing, namely performing annealing treatment on the container. By adopting the process, the surface of the opening in the lower end of the container has no grinding crack, the micro crackscaused by cutting and polishing can be completely made up, and thus glass cup breakage caused by micro crack expansion can be avoided.

The invention relates to the field of urban planning and traffic, in particular to an urban congestion area diagnosis method, the following scheme is put forward, the method comprises the steps: inputting road condition data, mobile phone positioning data and basic space data of a city into a geographic information platform in real time, and unifying coordinates and elevations of all the data in real time; constructing a congested road section database and a crowd database of the congested road section, and hooking the congested road section database and the crowd database; extracting personal positioning data of all people in the crowd database from the mobile phone positioning data, and sequentially connecting the personal positioning data of different time periods according to a time sequence to form personal behavior track data; and classifying crowds in a crowd database according to the behavior track data of the individuals, and sorting classification results to distinguish crowds causing congestion. According to the invention, accurate and intelligent diagnosis of the congestion section is realized, and the purposes of reducing traffic congestion and optimizing transportation are achieved.