265results about How to "Avoid wasting manpower and material resources" patented technology

The invention discloses a CFD simulation and grid self-adaption based valve flow coefficient calculating method. The CFD simulation and grid self-adaption based valve flow coefficient calculating method comprises the main steps that a 'valve-pipe' flow field model and a 'straight pipeline' flow field model are extracted based on a valve assembly body three-dimensional model; initial grids are divided for the flow field models, wherein multiple groups of initial grids different in scale are divided for the 'valve-pipe' flow field model; trial operation is performed by applying the groups of initial grids respectively, the change tends with grid scales of the obtained pressure differences are compared to select optimal initial grids; the optimal initial grids are applied to set different boundary conditions, and simulating calculation of corresponding flow coefficients is performed by combining a grid self-adaption technology; finally, the arithmetic average of the obtained flow coefficients is obtained to serve as a valve flow coefficient prediction result. The CFD simulation and grid self-adaption based valve flow coefficient calculating method can more rapidly and flexibly predict the flow capacity of a valve under various conditions, shorten a development period and improve the design quality and can effectively improve the calculation accuracy and reduce the dependence on specialization level of operators.

The invention discloses a device for separating moisture in sludge. The device comprises a treatment box; a feeding cylinder is arranged above the treatment box and is fixedly connected with the treatment box through a plurality of connecting rods; a rotating rod is rotationally connected with the inside of the feeding cylinder; a first rotating motor is fixedly connected with one side of the feeding cylinder, and the output end of the first rotating motor penetrates through the side wall of the feeding cylinder and is fixedly connected with the rotating rod; a helical blade is fixedly sheathed on the rotating rod, and the outer side of the helical blade is matched with the inner side wall of the feeding cylinder; a feed hopper is arranged at the top of the feeding cylinder; a feeding mechanism corresponding to the feed hopper is arranged on one side of the treatment box; a first rotating shaft and a second rotating shaft are respectively and rotationally connected with the inside of the feed hopper; a crushing wheel is fixedly sheathed on each of the first rotating shaft and a second rotating shaft. The device disclosed by the invention is compact in structure, convenient and quick to operate, capable of realizing the sludge and moisture separation and realizing separate treatment and good in separation effect.

The invention discloses an intelligent analysis method based on distributive optical fiber temperature measurement. The intelligent analysis method based on the distributive optical fiber temperature measurement comprises the following steps that partitioned management is conduced on a temperature measurement cable, and an optical fiber temperature measurement device is installed; an alarming parameter is set in a background data processing system, and the distributive optical fiber temperature measurement device reports the real-time temperature measurement data; every time a current temperature value is received, a system conducts temperature jump analysis once on the temperatures collected in each partition area, and if an analysis value exceeds a threshold value, temperature jump alarming is conducted; every time the current temperature value is received, the system conducts slow change analysis, the temperature is compared with the highest temperature, the lowest temperature, the environment temperature, the average temperature difference and a temperature difference of each partition area, and when the temperature values exceed set numerical values, slow change temperature alarming is conducted. According to the intelligent analysis method based on the distributive optical fiber temperature measurement, analysis and filtering are conducted on the sudden change and the slow change of the temperature, when the operation state of the cable and the temperature of the surroundings fluctuates abnormally or a fault is caused, early warning can be automatically conducted, and the safety operation level of a power cable is further improved.

The invention relates to a soil humus extraction method and concretely relates to a soil humus extraction and purification method. The method comprises carrying out full concussion and dissolution on a sample to be extracted orderly through hydrochloric acid and a sodium hydroxide solution so that dissolution of organic matters to be extracted in an acid solution and alkali lye is promoted and carrying out separation and purification to obtain different humus substances of the sample to be extracted. The method improves a standard method provided by the international humic substances society, has simple processes and has good applicability. The extract obtained by the soil humus extraction method satisfies international humic substances society requirements. The method realizes maximized separation of products from soil without influence on a substance structure.

The invention provides a method for early warning power grid transmission line mountain fire intelligently in a graded mode. The method comprises the following steps of 1, making early-warning standards for power grid transmission line mountain fire, 2, judging early-warning grades of historical power transmission line mountain fire, 3, deciding all grades of early-warning weather thresholds, 4, deciding a weather early-warning grade of a forecasting day, 5, judging the mountain fire early-warning grade of the day before the forecasting day, 6, deciding the power transmission line mountain fire early-warning grade of a delegated zone in the forecasting day, and 7, outputting early-warning results. The method can finally decide the power transmission line mountain fire early-warning grades by judging early-warning grades of all weather elements and current situations of satellite monitoring fire points. The method can meet actual situations well, is easy to achieve, is high in forecasting accuracy, can optimize resource distribution, improves prevention and cure efficiency, reduces casualty loss and maintains safety of power grids.

The invention discloses a traffic accident responsibility assessment method and device based on deep learning. The method comprises the following steps: acquiring driving data of a current car througha car driving recorder, and monitoring car driving through road monitoring equipment; inputting information of cars involved in an accident, and retrieving and obtaining data of the cars involved inthe accident from a database; training a traffic accident responsibility assessment model through the neural network algorithm; and inputting the data of the cars involved in the accident into the traffic accident responsibility assessment model, obtaining an accident responsibility assessment result output by the traffic accident responsibility assessment model, and sending the accident responsibility assessment result to user terminals. The method and device disclosed by the invention has the advantages that centralized management of traffic accident evidences can be achieved, and traffic accident responsibility assessment can be automatically and efficiently carried out; the assessment result is accurate and has a sound legal basis; the assessment speed is high, so that the traffic accident handling efficiency can be greatly improved, and waste of manpower and material resources can be avoided; and evidence analysis and judgment can be carried out in an all-around manner, so that the responsibility assessment result is fair and reasonable.

The invention discloses a top corner sealing device and a refrigerated container with the same. The top corner sealing device is used for sealing top corners of the refrigerated container. The refrigerated container comprises an inner top plate and inner side plates. The top corner sealing device comprises a top corner seal. The top corner seal comprises a first part, a second part perpendicular to the first part, and a connection part for connecting the first part with the second part. The first part and the second part are each provided with a clamping slot. The clamping slots are connected with sealing strips. The sealing strips are arranged between the first part and the inner top plate as well as between the second part and the inner side plates. Each sealing strip comprises a body part and a convex part which protrudes out of the body part and is used for connection. The top corner sealing device can conduct sealing with glue, thereby achieving a quite good sealing effect; besides, another gluing or glue tapping is not needed, and waste of manpower and material resources is avoided.

The invention relates to a method for quickly breaking birchleaf pear seed dormancy, and belongs to the technical field of plant production. The method for quickly breaking the birchleaf pear seed dormancy mainly comprises the following steps of: 1) picking and washing seeds; 2) soaking the seeds into clear water and sterilizing the seeds; 3) treating the seeds with a chemical agent and cleaning the seeds; and 4) sowing the seeds. The birchleaf pear seeds treated by sodium nitroprusside (SNP) begin to sprout after being sown for 3 days and fully sprout about one week later, wherein the sprouting percentage reaches over 80 percent. The method has the advantages of simpleness, convenience, quickness, safety, and good application and popularization prospect.