95results about How to "Improve referenceability" patented technology

The invention provides a method and device for calculating product reference price and a method and system for searching products to solve the problem that product price obtained through statistics on the basis of product selling price simply is inaccurate in the prior art, and searching accuracy is influenced. Vast amount of commodity information is used as a data source, aggregation classification calculation is performed on data in the data source according to the commodity price, commodity grouping with different price ranges is obtained, a group is selected from the commodity grouping according to preset screening conditions, one commodity is selected from the group of commodities, and the price of the commodity is used as the reference price of products where the commodity belongs to. The method and device for calculating the product reference price and the method and system for searching products are objective in calculation and accurate in obtained product reference price, conform to practical price, have high reference value, and can improve searching accuracy.

The invention discloses a consumer consumption behavior oriented time-lapse data analysis model establishment method. Through establishing a time-lapse based algorithm model, the consumption data are subjected to quantification analysis in combination with the forgetting curve characteristics of people, so that the interests and tendency of consumer consumption in a long-term range can be obtained, meanwhile, the group consumer preference and the individual classification preference can be subjected to comprehensive analysis, so that the drift and drift rate of consumption tendency can be subjected to quantizable prediction. Through the establishment and implementation of the establishment method of the analysis model, the interests and tendency of consumer consumption can be subjected to effective and reasonable analysis, which helps businessmen to make effective responses and adjustments on future market strategies better so as to enhance the market competitiveness.

The invention discloses a detection device for the non-skid property, which is used for detecting the non-skid property of shoes and comprises a shoe fixing component (25), a frictional panel (23) and front and back sliding pairs (22), wherein the frictional panel (23) is positioned below the shoe fixing component (25), and the frictional panel (23) is installed at one of the front and back sliding pairs (22) and can selectively slide relative to the other one of the front and back sliding pairs (22). The detection device is characterized by also comprising upper and lower slideways (211) and upper and lower slide blocks (212), wherein one of the upper and lower slideways (211) and the upper and lower slide blocks (212) is fixed at the shoe fixing component (25), and the other one of the upper and lower slideways (211) and the upper and lower slide blocks (212) is fixed at a machine bracket of the detection device for the non-skid property. The detection device for the non-skid property, which is provided by the invention, can simulate the contact condition of soles and the ground more accurately in an actual motion process, especially a high-speed motion and enhances the detection accuracy of the non-skid property of the soles.

The invention provides an attack and defense confrontation simulation system and method based on a system structure model, which can perform interactive simulation on multiple weapon systems and improve the reference of simulation deduction results, and belongs to the field of attack and defense confrontation simulation. According to the attack and defense confrontation simulation system and method provided by the invention, the system structure model is designed and operated by using a system structure design platform, the system structure model is used for defining function composition, interface relationship and operation logic of each weapon system under the combat service requirements; a combat scene is constructed by using an attack and defense confrontation deduction platform, a force model in the attack and defense confrontation is configured to the weapon system in the system structure model, the force model performs data interaction with the system structure model according to the constructed combat scene for deduction, and an event generated in the combat is output in the deduction process; and the system structure design platform judges the event generated in the combatby using the operation logic of the weapon system, and sends an obtained operation command to the force model of the attack and defense confrontation deduction platform.

The invention discloses a power grid new energy consumption capability evaluation calculation method, device and system based on a multi-scene generation technology, and the method comprises the steps: determining a power grid range and a calculation period of power grid new energy consumption capability evaluation calculation needing to be carried out, and other calculation boundaries; generatinga large number of combined scenes containing multiple new energy power plants through free permutation and combination among the fields; adopting a scene reduction technology of a backward reductionmethod, merging similar scenes, reducing the number of combined scenes, and generating typical combined scenes; carrying out the similar time period merging analysis, and reducing the number of time periods entering optimization; for each typical combination scene, establishing an SCUC dimension reduction model after time period merging, and solving to obtain a unit combination result; establishing an all-time SCED model based on the unit combination result and solving, and finally obtaining a new energy consumption result under each typical combination scene, thereby finishing power grid newenergy consumption capability evaluation calculation based on a multi-scene generation technology. According to the invention, on the premise of ensuring the safety and stability of the system, the effectiveness and referenceability of the consumption capability evaluation result are improved.

The embodiment of the invention discloses a risk decision method and a risk decision device, wherein, the risk decision method comprises the following steps: monitoring an electronic device of a userand obtaining risk-related data in the electronic device; parameterizing the risk-related data to obtain the standard parameters suitable for the rule engine; importing the standard parameters into the rule engine to obtain the risk rating; making risk decisions based on risk ratings. By adopting the invention, the generation of risk decision can be influenced through standardization of risk related data, rule engine processing and risk rating, and the adopted parameters and rule engine improve the comprehensiveness and normalization of risk rating, and the accuracy and referenceability of risk decision can be improved through risk rating.

The invention relates to a field enrichment device for volatile organic compounds in underground water, belonging to the technical field of environmental monitoring. The enrichment device comprises an upper tank body and a lower tank body connected in a threaded connection manner, wherein a vertically communicated first sample injection hole, a gas inlet hole and a gas outlet pipe are arranged on the upper tank body; a second communicated sample injection hole is formed in the lower tank body; and a drying device and an adsorption device are arranged in the gas outlet pipe. The operating method of the device comprises the following steps: immersing the enrichment device in a sampling water body in a rope tying or handheld manner, introducing nitrogen via the gas inlet hole after the water body sample is completely collected, drying organic matters in the drying device, adsorbing the organic matters by the adsorption device, and finishing the collection process. According to the enrichment device, loss of the volatile organic compounds in the collection process and sample transfer process can be avoided, the organic matters in the samples are completely collected, the detection result is closer to the true situation, the reference property can be greatly improved, and the device is applied to be popularized and applied in related fields.

The invention discloses a bending property testing device, which is used for detecting the bending property of a sole finished product. The bending property testing device comprises a testing platform (25), a punching part and at least two supporting parts (21), wherein the supporting parts (21) are an adjustable distance away from each other and can be selectively fixed through fixing parts. The bending property testing device provided by the invention can meet the bending property detection requirements of soles of various types, more accurately simulate the bended stress state of the sole in use and improve the reference of a testing result.

The invention provides a future driving condition information acquiring method in a car networking environment, which belongs to the technical field of intelligent car networking. The method comprises the steps of front car information analysis, target front car determination, traffic flow state change analysis and information acquisition route determination. The driving condition information acquiring method is based on car networking communication information. On the basis of fully considering effectiveness and accuracy factors of condition information acquisition, the optimal condition information acquisition route is determined. The acquired driving condition information is closer to actual condition information in the future. The reference and accuracy of the acquired driving condition information as actual condition information in the future are improved.

The invention provides a scheduling method and device for an energy storage system of a wind power plant integrated with prediction and decision. The method comprises the following steps of a sample accumulation step: inputting the state st of awind power plant to an evaluation network, outputting Q values of all actions in an action space A, and determining a dispatching instruction at of the energy storage system by an Epsilon-greedy strategy after the energy storage system executes the dispatch instruction, calculating the returned reward rt and observing the state of the wind power plant in the next period st + 1, storing (st, at, rt, st + 1) as a sample in a buffer, and repeating the above process until the number of samples in the buffer reaches the preset upper limit; a Q value iteration step; and a network training step; a learning finish juding step: if gains acquired by the wind power plant do not increase and fluctuate within a pre-set range, indicating the evaluation network converges with the current scheduling instruction being optimal; otherwise, repeating the above steps till the evaluation network converges and outputting the optimal scheduling instruction.

The invention provides a Checkpoint flow early warning method based on mobile police affairs, which can ensure that traffic polices can discover abnormal road sections in time, simplify the configuration process of Checkpoint flow early warning parameters by the traffic polices, and further ensure that the traffic polices can optimize Checkpoint distribution points and improve the operation and maintenance level of Checkpoint equipment. In the technical scheme of the invention, the traffic flow of the prediction day is predicted through the differential autoregressive moving average model ARIMA, and the traffic police can receive the early warning information before the traffic abnormality occurs once the traffic abnormality occurs by setting the early warning threshold, so that the traffic police can arrive at an abnormal place in time, and the problem is solved in time; based on historical data, a differential autoregressive moving average model ARIMA is established for a main trunkroad to be monitored on the basis of each day of a week, and it is ensured that a traffic flow passing predicted value predicted by the differential autoregressive moving average model ARIMA conformsto the characteristics of the peak value and valley value of the Checkpoint daily flow of each day in urban life.

The invention relates to the technical field of camera testing, and particularly discloses camera testing equipment and a camera imaging testing method. The camera testing device comprises a supporting platform, a first adjusting module, a second adjusting module and an image receiving assembly. The first adjusting module comprises an XY moving platform and a rotating module arranged at the driving end of the XY moving platform, and the driving end of the rotating module is connected with the collimator; the second adjustment module comprises a moving module and a horizontal fine adjustment module arranged at the driving end of the moving module, and the camera is supported on the horizontal fine adjustment module; and the image receiving assembly is used for receiving image signals shot by the camera. Under the condition that the angle of the camera does not need to be adjusted, the imaging angle of the camera during image card shooting can be adjusted by adjusting the rotating module. Meanwhile, the horizontal precision of the camera adjusted by the horizontal fine adjustment module is high, so that the data detected by the method is accurate, the adjustment process is simple and convenient, and the test efficiency is improved.

Embodiments of the invention disclose a data processing method and a terminal. The method comprises the steps of obtaining commodity information and a first repayment plan carried by a calculation instruction, wherein the commodity information comprises a commodity identifier, and the first repayment plan at least comprises any one or more of the following items: a set down-payment ratio, a set period number and a set interest rate; according to the first repayment plan, performing statistics on first attribute data after historical check computation of a target loan commodity corresponding tothe commodity identifier, and according to the first attribute data, performing analysis to obtain a first target parameter; calculating out a calculation result by utilizing the first target parameter, wherein the calculation result comprises a second repayment plan; and outputting the calculation result. By adopting the method, the reference of the calculation result obtained in a calculation stage can be improved.

The embodiment of the invention discloses an oven food material cooking method, an oven and a baking tray. The oven comprises an image acquisition device and the baking tray. The method comprises thesteps: collecting an image of food materials placed on a baking tray through an image collecting device; calculating the size of the food material according to the relative size of the food material and the baking tray in the image; and selecting cooking parameters corresponding to the calculated sizes of the food materials to control the oven to operate. According to the scheme of the embodiment,the size of the food materials is effectively calculated, a technical basis is provided for controlling the cooking process according to the size of the food materials, matching of the food materialsand the cooking process is achieved, and the cooking experience is improved.

The invention relates to an intelligent dermatoglyph collecting, classifying and recognizing method based on a neural network. The method comprises the following steps: sequentially carrying out normalization processing and Wiener filtering denoising processing on an acquired original dermatoglyph image, sharpening and extracting edges by adopting a Sobel operator algorithm, carrying out processing by adopting a binarization algorithm, and obtaining a pixel-skeletonized dermatoglyph image through an OPTA refinement algorithm; then, adopting a GAN generative adversarial network model algorithmto carry out repair processing and enhancement processing; and finally, introducing a ResNet deep learning neural network model algorithm to carry out dermatoglyph classification and recognition processing, and obtaining classification information. According to the method, different dermatoglyph feature images are analyzed from the perspective of multiple dimensions and multiple features, more features are extracted from dermatoglyph image information, and high accuracy is achieved in dermatoglyph recognition and classification; the method is suitable for being applied to various scenes such as child personality culture and special post personnel selection, the interpretation accuracy is improved, and the reference of report interpretation is obviously improved.

The embodiment of the invention provides a method and device for synchronizing BMC time and OS time, a terminal and a storage medium. The method comprises the steps of reading the BMC time and the OStime respectively; subtracting the BMC time from the OS time, and calculating a time difference; presetting a time difference fault-tolerant range; judging whether the time difference is within a timedifference fault-tolerant range or not, and if yes, repeating the above steps; and if not, setting the BMC time as the OS time, recording a synchronization log, and then repeatedly executing the above steps. According to the invention, the real-time synchronization of BMC time and OS time is truly realized. The BMC time accuracy is greatly improved, the referenceability of BMC logs in the serveroperation and maintenance or test process is improved, the method is suitable for all mainstream servers or storage with BMC modules, the program operation is simple, the method has high usability, and the method does not depend on a network and an NTP Server.

The invention discloses an intelligent evaluation method and system for supplier steel plate cutting, and the method comprises the steps: obtaining a first steel plate based on a preset steel plate requirement, and determining a first operator based on a preset operator requirement; obtaining a first steel plate cutting result; determining a first quality inspection index set based on a preset cutting requirement, wherein the first quality inspection index set comprises a plurality of quality inspection indexes; obtaining a first detection result based on an intelligent detection module, wherein the first detection result comprises a plurality of detection results of the plurality of quality inspection indexes; the intelligent processing module performs normalization processing to obtain a first data processing result; obtaining a first ascending list, and extracting a first processing result; a first evaluation index is obtained based on the wooden barrel law. The problems of long time consumption and low efficiency of manual cutting of the steel plate in the prior art are solved, and the technical problems of low reliability and poor reference of a cutting evaluation result caused by incapability of performing targeted, visual and accurate evaluation on the cutting effect of the steel plate based on actual cutting requirements are solved.

The invention provides an electric power spot market e-commerce load declaration optimization method and system, and belongs to the technical field of electric power transaction, and the method comprises the steps: obtaining electric power market historical information and electric power market real-time information; establishing a day-ahead market load declaration model of the electricity seller by taking minimization of the comprehensive electricity purchasing cost of the electricity seller as a target according to the historical information of the electricity market and the real-time information of the electricity market; and adopting an improved deep Q network algorithm to optimize and solve the electricity seller day-ahead market load declaration model, and obtaining an electricity seller day-ahead market load declaration curve. The method and system aim at minimizing the comprehensive electricity purchasing cost of the electricity seller, take load limitation and deviation assessment as constraints, comprehensively consider the uncertainty of various clearing electricity prices and loads, improve the accuracy of power load declaration, improve the reference of a load declaration result, enable the electricity purchasing of the electricity seller in the power market to be more reasonable, remarkably reduce the electricity purchasing cost of electricity vendors, reduce the waste of resources, and enable the resource allocation to be more reasonable.

The invention provides a future operating condition information acquisition system for an intelligent networking vehicle and belongs to the technical field of intelligent networking vehicles. The future operating condition information acquisition system comprises a V2V vehicle communication system, a V2I vehicle road communication system, a vehicle positioning system, a remote monitoring platform, a front vehicle information collection unit and a front vehicle information analysis unit and is characterized by further comprising a target front vehicle determining unit, a traffic flow status analysis unit and an information acquisition path determining unit. The operating condition information acquisition system is based on vehicle networking communication information; on the basis of fully considering factors affecting operating condition information acquisition effectiveness and accuracy, an optimal operating condition information acquisition way is determined, acquired operating condition information is enabled to be closer to future actual operating condition information, and the reference and the accuracy of the acquired operating condition information as the future actual operating condition information are improved.