6results about How to "Avoid subjective arbitrariness" patented technology

This invention relates to the field of bid document management technology, and in particular to an automatic bid document review method and system based on natural language processing. The method includes: identifying target sections; determining historical performance and financial information; judging whether false performance exists; analyzing the complete sentences containing target keywords; calculating material scores; determining price deviation; and determining the review result. This invention achieves multi-dimensional and comprehensive review of bid documents by intelligently analyzing multiple sections such as qualifications, risks, materials, and pricing. This effectively improves the comprehensiveness and depth of the review. Utilizing natural language processing technology, it can accurately identify and extract key information from bid documents, overcoming the subjectivity and limitations of traditional manual review. Quantitative assessment based on risk level significantly improves the accuracy and relevance of risk identification. By comprehensively weighing material scores and price deviation, it significantly improves review efficiency.

The invention relates to an advantage evaluation method for a fabricated structure technical system in the field of low-rise houses, and belongs to the technical field of fabricated buildings. The technical problem to be solved is that for selection of an existing fabricated structure technical system in the low-rise house field, a scientific and quantitative mathematical evaluation method is lacked, and accurate matching of the fabricated structure technical system and different application scene requirements cannot be achieved. According to the technical scheme, a target application scene is determined, demand weight coefficients corresponding to cost, construction period and performance are set, benchmarking products are selected to obtain related basic data, fractal dimension advantage indexes and industrialization indexes of a to-be-evaluated system are calculated, comprehensive competitive power indexes are calculated in combination with the weight coefficients, and the system is evaluated. And completing selection of the dominant technology system according to an index result.

This invention relates to the field of natural language-driven clustering technology, specifically to an e-commerce customer classification method based on end-to-end goal-driven clustering, comprising: S1: acquiring business goals and raw consumption behavior data of all e-commerce customers; S2: standardizing the raw consumption behavior data of all e-commerce customers to generate an e-commerce customer feature matrix; S3: inputting the business goals and the e-commerce customer feature matrix into a large language model, and generating importance scores corresponding to each consumption behavior feature through the independent query mechanism of the large language model for each consumption behavior feature; S4: performing clustering based on proximity and volume clustering algorithms, combined with the importance scores of each consumption behavior feature, to generate cluster labels for each e-commerce customer; S5: distinguishing the importance of e-commerce customers based on their cluster labels and formulating corresponding service strategies. This invention improves the objectivity and goal orientation of e-commerce customer classification.

The application provides a commercial vehicle abnormal refueling infrared linkage identification and tracing system and method. The system comprises a liquid level change sensing module, a geographic fence intelligent filtering module, an abnormality determination module, an infrared video linkage evidence extraction module and an evidence chain generation module. The method comprises the following sub-steps: S1, identifying a refueling event and recording a timestamp; S2, acquiring the latitude and longitude of the vehicle; S3, performing three-level compliance filtering to determine whether it is abnormal; S4, extracting and solidifying video evidence; and S5, generating an electronic evidence package containing multi-source data. The method collects fuel liquid level data through a vehicle-mounted sensor, uploads and analyzes the data in real time, eliminates the fraud space caused by manual operation from the source, eliminates the need for drivers to manually submit refueling receipts, reduces the human intervention link, sets multiple determination standards and determines real parking events and abnormal refueling events in real time, realizes the real-time response, avoids the subjective randomness of manual review, and improves the determination accuracy.

The embodiment of the application provides a multi-vortex ring-based cladding layer wall thickness pulsed eddy current detection method and system, the method comprises the following steps: applying a square wave excitation signal to an excitation coil, and generating eddy current in a structure with a cladding layer; collecting a voltage signal generated by an attenuated magnetic field generated by the eddy current by using a receiving coil, and the attenuation process of the voltage signal comprises three stages; identifying a power function interval of the second stage, and determining the starting time of the third stage; taking the starting time of the third stage as a reference, and selecting a preset thickness quantitative time interval in the third stage; calculating the first derivative of the voltage signal with respect to time in a single logarithmic coordinate system in the thickness quantitative time interval, so as to obtain a slope; and calculating the wall thickness value of the structure with the cladding layer according to the quantitative relationship between the slope and the wall thickness of the structure with the cladding layer.

The application discloses a kind of drinking water safety quality scoring methods, comprising: constructing multilevel evaluation index system, and collecting the monitoring data of each water quality index;According to the monitoring data, the compliance of each water quality index is determined, and the basic score of each water quality index in the health level and the sensory level is calculated using a nonlinear formula;The improved AHP analytic hierarchy process is used to determine the health comprehensive weight and the sensory comprehensive weight of each water quality index;According to the basic score of each water quality index in the health level and the sensory level and the corresponding comprehensive weight, the health level score and the sensory level score are obtained by weighted summation, and the final comprehensive water quality safety score is calculated by introducing a penalty mechanism.The application solves the shortcomings of traditional water quality evaluation methods systematically through multidimensional index design, objective weight calculation, fine scoring mechanism, standard coordination and visual result output, and provides a scientific and efficient quantitative tool for drinking water safety management.