60results about How to "Save money and material resources" patented technology

The invention relates to a frequency chosen of singular-spectrum analysis-based magnetic resonance sounding signal extraction method. According to the method, a nuclear magnetic resonance sounding water detector is used to collect MRS signals of a Larmor frequency-known region; a broadband band-pass filter is adopted to suppress partial noises, and thereafter, the position of MRS signals corresponding to the Larmor frequency are found on a power spectrum based on power spectrum analysis; and frequency chosen of singular-spectrum analysis is performed, so that the MRS signals are extracted. Thefrequency chosen of singular-spectrum analysis includes the following four steps that: embedding is performed; RSVD (Regularized Singular Value Decomposition) is performed; and corresponding singularvalues are selected according to the amplitudes of the MRS signals so as to perform matrix reconstruction; and diagonal averaging is performed. With the method of the invention adopted, random noises, spike noises and power frequency harmonic interference can be effectively filtered from noise-containing MRS signals; and the effective extraction of the MRS signals under a complex strong noise interference condition can be realized. Compared with a traditional MRS signal de-noising method, the method has the advantages of high operation speed, high signal-to-noise ratio, high practicality andthe like.

The invention belongs to the optical cable fault point localization technical field and relates to a buried optical cable fault ground locator and a localization method. The locator includes an ultra-narrow linewidth laser, a distributed feedback laser, an adjustable attenuator, an optical switch, an acousto-optic modulator, an erbium-doped optical fiber amplifier, a circulator, a wavelength division multiplexer, a Raman amplifier, an avalanche photodiode, an acquisition card, a driver, and a computer. With the buried optical cable fault ground locator and the localization method of the invention adopted, the fault location of a designated optical cable can be accurately located; financial and material resources required in finding the fault location of the optical cable can be effectivelyreduced; and the optical paths of an OTDR and the phiOTDR are fully integrated, the same devices can be adopted to simultaneously realize two functions on the basis of a fact that the devices apply different parameters under different modes.

The invention discloses a method for quantitatively determining fractured rock mass permeability anisotropy. The method comprises the following steps that a practical fractured rock mass is simulated, and similar materials which are different in inclination angle with the horizontal direction are prepared; the permeability rates of the similar materials with different inclination angles are measured, and a function relational expression of the permeability rates and the inclination angles is determined; derivation is conducted on the function relational expression, a derived function of the function relational expression is obtained, and the derived function shows the change rate of the permeability rates to the inclination angles; standardization processing is conducted on the derived function, a relational expression of unit permeability rate change quantity caused by unit inclination angle change to the inclination angles is obtained, and the relational expression is a quantitative expression of the permeability anisotropy of the practical fractured rock mass to be measured. According to the method for quantitatively determining the fractured rock mass permeability anisotropy, a mathematical analysis method is used for determining the change rate of the permeability rates of the fractured rock mass in different directions, standardization processing is conducted on the change rates of the permeability rates and the inclination angles, the unit permeability rate change quantities caused by unit inclination angle change at different inclination angles are obtained, and the permeability anisotropy of the fractured rock mass with larger permeability rate differences can be accurately expressed.

The invention relates to a disease prediction method based on tunnel environmental information, which mainly solves the technical problem that the traditional prediction mode mostly takes a single variable as a parameter and cannot meet the actual disease prediction effect. The technical proposal of the invention comprises the following steps: step 1, building a disease prediction model and training the model based on the historical data: firstly, collecting tunnel environment data, including tunnel environment information and tunnel basic information; Sample marking: the diseased segment is negative sample, and the normal segment is positive sample; Then the machine learning algorithm is selected to iterate and optimize the model until the accuracy of the model meets the requirements. 2,classify that tunnel disease identification level: from the beginning mileage to the end mileage of the tunnel, jud whether the segments of the tunnel position are disease or not one by one, outputting the different diseases by classification through threshold setting, and finally obtaining all the diseases of each grade in the tunnel.

The invention belongs to a subgrade construction method for an aeolian sand section and a structure and a device thereof; the method comprises the steps of construction preparation, filler sampling inspection, aeolian sand loading and transportation, aeolian sand laying and leveling, water replenishing for aeolian sand, aeolian sand compaction, testing detection of compacted aeolian sand, formation of sand fixing columns by grouting the interior of the upper part of a rolling-compacted molded aeolian sand filling layer by a rapid sand fixing column construction machine, slope stacking with sand bags, road bed acceptance, sand gravel loading and transportation, sand gravel layer laying, sand gravel watering compaction, testing detection of a sand gravel layer and compound slope protection.The device is the rapid sand fixing column construction machine, can form four sand fixing columns distributed at intervals. The method and the device can effectively build a road in the aeolian sandsection, provide the feasible subgrade structure and rapid reinforcement equipment, and have the advantages of simple and practical method, stable subgrade slope, low construction risk, low cost, construction period saving, no pollution, long service life of highways and good use effect.

The invention discloses a thyroid cancer ultrasonic image automatic labeling method and system. The method includes the following steps that: a cancer image data set to be processed is preprocessed, so that the ROI sub-image data set of each cancer image is extracted; a VGG16 deep learning network model is adopted to perform feature extraction on the ROI sub-image data set; a K-means++ algorithm is used to cluster extracted features; clustering results are compared with the reference clustering results of preset cancer-free images, so that the cancer feature clusters of the cancer images are obtained; and the obtained cancer feature clusters are correspondingly labeled on the original images of the cancer images. The method and system of the invention have the advantages of high work efficiency, high accuracy and low application cost. The method and system can assist in saving a large quantity of financial and material resources and can be widely used in the medical image data processing field.

The invention relates to a gas pipe network leakage detection method and system based on pressure parameter analysis. The method comprises the steps of S1, building a field pipe section model, and setting detection points to obtain a normal point curve; S2, formulating a standard for judging leakage; and S3, performing leakage detection and alarm according to real-time operation data. According to the gas pipe network leakage detection method, the balance between the leakage alarm timeliness and the leakage-free false alarm rate of the model is comprehensively considered, leakage determination is carried out based on scientific quantitative calculation, financial resources and material resources for detecting leakage through physical instruments are omitted, the requirements of a management system adopted by a current actual gas company can be better met, and the processing space and the degree of freedom are high; and by setting an alarm manner corresponding to values of delta% and n, a user can know the current alarm level and possible error conditions thereof, and the user can quickly perform leakage processing.

The embodiment of the invention discloses a method for estimating heavy metal concentration in soil and particularly relates to the technical field of soil heavy metal detection. The specific steps are as follows: S1, a pH value at a soil sampling point, a cation exchange capacity, a content of organic carbon and altitude data of the sampling point are collected; S2, a mathematical model is established by the multiple regression analysis method, and a linear relationship between the heavy metal concentration and soil physicochemical properties is established; S3, the required parameters are input into the formula to obtain the estimated heavy metal concentration at the point; S4, the consistency between the predicted result and the measured value of the heavy metal in soil is checked. By synthesizing the physicochemical properties of the sampling point such as the soil pH, the cation exchange capacity and the organic matter content and the regional altitude as parameters, the correlativity between the heavy metal content and environmental factors is established; the heavy metal concentration around a survey region is predicted; the method is more scientific and effective; the reference is provided for the regional environmental pollution degree; and a scientific basis is provided for environmental control in the future.

The present invention relates to an electronic report auto-generating land-use planning management system and method. The system comprises a statistical information module, a statistical bookmark module, a report template customization module and an electronic report auto-generation module. The method comprises: step 1, based on background data, implementing customization and combination of a statistic condition; step 2, making a statistic into a bookmark as required; step 3, customizing a report template by an embedded document editing control; and step 4, opening a selected report template, selecting a statistic time interval and a space range of a report, acquiring statistical data in a background database according to a statistic condition and a statistical result format information for reading a statistical bookmark record, inserting a statistical result into the selected report template, and auto-generating an electronic report. By electronic report auto-generation, the method provided by the present invention greatly improves the work efficiency and report material timeliness and scientifically assists decision-making.

The invention discloses a number checking method and a device. The method comprises the following steps: the number checking device is used for storing a number information record of a first user, the name, the used number and the current number of the first user are stored in the number information record correspondingly; the number checking device is used for receiving the number tracking request of the current number of the first user inquired by a second user, and the number tracking request comprises the name and the used number of the first user; the number checking device inquires the current number of the first user according to the number tracking request and the name and the used number of the first user in the number information record, and the current number is sent to the second user. According to the number checking method and device, the material resources and financial resources wasted by informing the original contact persons one by one after the user changes the numbers can be reduced greatly.

The invention discloses a drinking mineral water quality detection device which comprises a conveyor belt I, an LED light source, a conveyor belt II, a slope, a detection tank, a camera, an electric door I, a controller, an electric door II and a movable barrier. The drinking mineral water quality detection device has the advantages that the drinking mineral water quality detection device can be applied to industrial production lines, drinking mineral water can be detected by the aid of hardware platforms such as vision sensors, images of sufficiently uniformly shaken water can be acquired bythe drinking mineral water quality detection device and can be analyzed and processed by the drinking mineral water quality detection device, obtained images of clean water and water mixed with impurities can be compared to one another, accordingly, the granularity of the impurities in the water can be obtained by means of analysis, and a conclusion whether the detected mineral water contains solid floating matters or not and whether standards are met or not further can be drawn; assembly line work can be implemented by the drinking mineral water quality detection device, the drinking mineralwater quality detection device is applicable to detecting whether daily drinking mineral water contains solid floating matters before being delivered or not, is economical and practical and is easy tooperate, financial resources and material resources can be saved, and the work efficiency can be effectively improved.

The invention provides a self-assembly-colloidal-crystal computer simulation method based on heat-treatment assistance and a preparing method of colloidal single crystals. According to the self-assembly-colloidal-crystal computer simulation method based on the heat-treatment assistance, a physical model for optimizing colloidal crystal technological parameters with the Monte Carlo algorithm is built, and technological parameters such as the optimal self-assembly temperature are simulated and predicted through the physical model; meanwhile, the glue evening method is combined, a plurality of other self-assembly parameters of micro-nano ball crystals are controlled and assembled, and large-area colloidal single crystals are obtained. A theoretical model under the condition that liquid evaporation of the colloidal single crystals is considered is built; based on the theoretical model, computer simulation is introduced, and the efficiency of the self-assembly colloidal crystals is greatly improved; the algorithm of the model is efficient and convenient and fast, quite-large computing resources are not required, the obtained result and the experimental result are highly identical, and the quite-good experiment instruction value and market application prospects are achieved. According to the computer simulation method, multiple codes are specifically adopted in the method; the method for preparing the colloidal crystals is suitable for assembling micro-nano balls with the large-range size, and can also be suitable for assembling different kinds of micro-nano balls.

The invention relates to a tire full-automatic code reading machine. A servo motor is movably connected to a fixed frame body, an output shaft of the servo motor is vertically downward and is connected with the middle of a horizontally-arranged mechanical arm through a speed reducer, one end of the mechanical arm is connected with a lifting rail, the included angle between the axis of the lifting rail and the bottom face of the mechanical arm is 30-90 degrees, the upper end of the lifting rail is driven through a stepping motor, and a vertically-arranged industrial code reading camera is arranged at the lower end of the lifting rail. The servo motor, the stepping motor and the camera are respectively connected with an external PLC. The industrial camera is adopted in the tire full-automatic code reading machine, the effect of multiple original industrial code reading cameras can be achieved, manual code reading is replaced, the cost is 1/3 of the cost with the original industrial code reading cameras adopted and is greatly lowered, meanwhile, the errors of the original manual code reading are avoided, and a new step is achieved in product management under the condition that users has less investment.

The invention relates to a method for rapidly representing the activity of a catalytic cracking catalyst. The method comprises the following steps: (1) sorting selected catalysts; (2) determining potassium hydroxide index values and micro-activity index values of selected catalyst samples, and drawing a standard curvilinear equation of relationship between the potassium hydroxide index values and the micro-activity index values of the samples; and (3) measuring the potassium hydroxide index values of to-be-measured catalyst samples, substituting a measured result into the standard curvilinear equation so as to obtain the micro-activity index values of the to-be-measured samples, and representing the activity of the catalytic cracking catalyst. The method for representing the activity of the catalytic cracking catalyst is simple and rapid to operate, is low in capital input quantity, is accurate and reliable in result, and has practical significance in evaluating the cracking activity of the cracking catalyst.

The present invention relates to a hardness detecting device, especially to a paint granulation product relative hardness detecting device, provides a paint granulation product relative harness detecting device which quantizes the product hardness and can scientifically optimize the two indexes of scientifically optimizing the paint particle hardness and the dyeing force when the paint is reducted to power, the device comprises a testing bracket and a switch, one end of the constant-pressure and constant-current tube which is added with compressed air is arranged with a charging opening, the other end is arranged with an impact box, the upper side of the impact box is a pressure-discharging net, the lower side is a material collecting bag, the fluidity of the paint particle product obtained through experiment and the moldability quantizing index parameter value of the particle, the paint particle product is facilitated to represent excellent in the conveying of the system, the quantizing index of the granulation product is settled and the financial resource and physical resource are saved, an equilibrium point is confirmed between the dyeing force of dispersibility and the hardness in order to secure the cost optimum, after a plurality of adjustment a more satisfactory formula can be obtained and the product quantizing index can be provided to the client; and the production equipment technology consultation can be provided to the producing company.

The invention belongs to the technical field of a hydraulic press, and relates to a multi-group tonnage classification control system of a hydraulic press. The system comprises multiple classification tonnage groups, an oil tank and a connection oil pipe; and a proportional overflow valve is also arranged between the oil tank and the classification tonnage groups, wherein one classification tonnage group is directly connected to the proportional overflow valve through the connection oil pipe, and an electromagnetic valve is also arranged between the other classification tonnage groups and the proportional overflow valve. The multi-group tonnage classification control system of the hydraulic press, provided by the invention, can randomly select different tonnage combinations for work according to different lengths and processes of the processed workpieces, greatly lowers the processing cost, saves financial and material resources to some degree, and realizes compression moulding of complicated workpieces easily.