26 results about "Site analysis" patented technology

The invention relates to a pipe network operation risk monitoring method and system for an urban drainage system, and the method comprises the steps: obtaining a pipe network distribution drawing of the urban drainage system, carrying out the key site analysis, carrying out the pipe network topology through a key site analysis result and the corresponding pipe network distribution, and obtaining a pipe network topological relation of the urban drainage system, acquiring real-time monitoring data of each key site, analyzing the operation change trend of all key sites of the same drainage event in combination with a pipe network topological relation to obtain a site operation association relation of the pipe network, acquiring historical risk parameters of each key site, and calculating the risk parameters of each key site; and performing data training on the historical risk parameters according to the site operation association relationship, constructing a pipe network risk monitoring model of the urban drainage system, obtaining external environment change parameters of the urban drainage system, and inputting the external environment change parameters into the pipe network risk monitoring model for risk analysis to obtain pipe network operation risk monitoring data. The method and the device have the effect of improving the accuracy of pipe network risk monitoring.

The invention discloses an on-site historical evolution behavior analysis method for aerodynamic performance of a large wind turbine generator, which takes a power coefficient as a basic index for on-site analysis of the aerodynamic performance, and overcomes the influence of two adverse factors, namely deviation and randomness, of SCADA (Supervisory Control And Data Acquisition) wind speed data by adopting data compensation and data filtering. The relation between the wind speed and the wind wheel rotating speed is regarded as an inertial system, and a data driving time constant determination method is provided. A practical calculation working condition region division algorithm is designed, and a data binning method and a conservative data comparison method are adopted to solve the problems of scatter data singularization and interval critical value determination which need to be solved during working condition division respectively. Then, power coefficients based on the instantaneous power and the cumulative power are calculated, respectively. The five-year deterioration degree of the two units is respectively given by observing the effectiveness of the algorithm in a multi-angle manner through four indexes, the historical evolution of the on-site aerodynamic performance of the units is described, and the result shows that the method is effective and feasible.

The invention discloses an intelligent construction site data collection and visual management method based on the Internet of Things, and the method comprises the following steps: collecting real-time multi-dimensional data of a construction site, carrying out the joint optimization of node selection and multi-dimensional resource distribution, carrying out the data size optimization, and transmitting the data to a data processing center; constructing a risk evaluation index system of the construction site, inputting the optimized real-time multi-dimensional data and the risk evaluation index system into a construction site analysis model for identification, and extracting potential risk factors in the construction site; inputting the potential risk factors into a construction site early warning model for analysis, and generating risk early warning information; performing multi-modal data fusion on the real-time multi-dimensional data, the potential risk factors and the risk early warning information to generate a construction site visual data model; and analyzing the construction site visual data model through the associated construction site optimization model, and generating a dynamic optimization path of the construction site environment and the construction process. According to the invention, the management level of the intelligent construction site is obviously improved, and the construction process and resource allocation are optimized.

A system and method using remote sensing instrument with hyper spectrum quantitatively measure metal dust elements in lubricating oil, which includes (not limited): Al, Cd, Cr, Cu, Fe, Pb, Mg, Mn, Mo, Ni, Ag, Sn, Ti, V, Zn, B (Boron, for Coolant), Ca (Calcium for water contaminant), and particle size, cone penetration, dropping point, steel mesh oil separation, moisture, PQ concentration, in few seconds. The instrument integrates near-field communication (NFC), Internet of Thing (IoT), Cloud computing, spectral matching and other data processing, and application software forming a system to easily operated and build a model enable self-learning to improve precision through collection accumulation. With the system, the instrument as FIG. 1 can provide comprehensive on-site analysis enable preventive maintenance of mission critical engine and rotating equipment. The characteristics of the system are easy to operate, get result quickly, and self-learning to improve precision.

This invention belongs to the field of oil and gas development and exploitation engineering technology, specifically relating to a method for determining the initiation zone and sequence of fractures during multi-layer fracturing and filling operations in loose sandstone reservoirs. Based on the basic physical properties and pumping parameters of each sub-layer, this invention establishes the time-varying process of fluid absorption and wellbore pressure at each sub-layer during multi-layer fracturing and filling operations, enabling rapid identification of sub-layers that have initiated fractures and those that have not. Furthermore, based on the fractured sub-layers, this invention iteratively corrects the fluid absorption capacity of each sub-layer and calculates the changes in fluid pressure at the wellbore of the un-fractured sub-layers, thus determining the sub-layers that will subsequently initiate fractures at each stage. This provides the order and timing of fracture initiation for construction design and on-site analysis, offering a basis for construction design and field analysis.

The invention relates to the technical field of construction methods, in particular to an unmanned aerial vehicle surveying and mapping method for a construction site. The method comprises the following steps: planning a flight path of an unmanned aerial vehicle according to region division and measurement requirements of a construction site, the flight path covering all regions of the construction site; setting data acquisition parameters of the unmanned aerial vehicle based on the flight path, controlling the unmanned aerial vehicle to execute data acquisition operation according to the flight path and the data acquisition parameters, and obtaining surveying and mapping data of the construction site; performing preprocessing and three-dimensional modeling on the surveying and mapping data to generate a three-dimensional terrain model of the construction site; and performing construction site analysis and result output based on the three-dimensional terrain model, wherein the result output comprises a terrain analysis file meeting a preset standard. The method is based on three-dimensional terrain model analysis and outputs a terrain analysis file meeting the standard, and can provide an accurate basis for construction analysis. The method is mainly applied to field surveying and mapping.

The invention discloses a device for edge algorithm deployment and violation problem output in the field of ecological environment, and the device comprises a data collection unit, an edge calculation unit and a violation output unit, the data collection unit is used for collecting the historical operation data of an enterprise site, comprising key operation parameters obtained from a distributed control system (DCS) of thermal equipment such as a waste incineration boiler and a coal-fired boiler and recorded environment parameter data such as flue gas components, temperature, pressure, oxygen content and particulate matter concentration, an edge calculation unit operates a deployed analysis algorithm model locally, the collected data are analyzed and processed, and the data are stored in a database. And judging whether a violation event or an environment abnormity exists in the operation process or not. By means of the equipment, on-site analysis can be conducted on historical operation data of an enterprise, abnormal operation states or potential illegal behavior clues can be found rapidly, and therefore the timeliness and accuracy of environment law enforcement are improved.

1. Name of the Design Product: Graphical User Interface for Operational Data of Electronic Devices. 2. Use of the Design Product: For electronic devices. 3. Design Key Points of the Design Product: Lies in the interface content of the graphical user interface. 4. Picture or Photo that Best Illustrates the Design Key Points: Front View. 5. Use of the Graphical User Interface: For displaying operational data. 6. Description of the Changing States of the Graphical User Interface: Click "Site Analysis" in the front view to expand the "Area Selection" interface of the site, enter the interface changing state diagram 1, and enter the interface changing state diagram 2 after selecting a site in the interface changing state diagram 1; click "Chart" in the interface changing state diagram 2 to expand the current site information chart, enter the interface changing state diagram 3; swipe up in the interface changing state diagram 3 to enter the interface changing state diagram 4.

The present disclosure provides an innovative biosensor system utilizing three-dimensional vertical graphene structures for highly sensitive analyte detection in field-deployable applications. The vertical graphene structures may be formed in-situ directly on the sensor substrate, potentially enabling on-site fabrication and customization. These structures, with their increased surface area and unique tree-like morphology, may offer improved binding sites for bioreceptors compared to conventional flat graphene sensors. This biosensor design may address limitations of existing biosensors by combining enhanced surface area, controlled sample handling, and advanced measurement techniques in a single, field-portable device. The potential for in-situ graphene formation may allow for rapid sensor deployment and adaptation. Additionally, the system's portability may enable on-site analysis in remote locations, potentially reducing the need for sample transport and laboratory-based testing.

The invention discloses a spectrum detection system for rock substance component analysis and content statistics, which comprises a display screen, a spectrum detection system, a light source system and a data processing and analysis module, and is characterized in that the display screen and the data processing and analysis module carry out information interaction and are used for displaying an analysis result; a spectrum sensor is arranged in the spectrum detection system and is used for collecting spectrum data of the reflected light or the transmitted light and sending the spectrum data to the data processing and analyzing module; the light source system is used for irradiating the rock sample surface and exciting the spectral characteristics of the rock sample; the data processing and analyzing module receives the spectral data and is used for processing and analyzing the spectral data, identifying rock substance components and performing content statistics and sending an analysis result to the display screen. The invention further discloses a spectrum detection method for rock substance component analysis and content statistics. The device can be conveniently carried to the field for field analysis by a user, and rapid analysis of rock substance components and contents thereof is realized.

1. The name of this design product: Graphical User Interface for Operating Data of Electronic Devices. 2. The use of this design product: For electronic devices. 3. The design key points of this design product: Lie in the interface content of the graphical user interface. 4. The picture or photo that best shows the design key points: The front view. 5. The use of the graphical user interface: For displaying operating data. 6. Description of the change states of the graphical user interface: Click "Site Analysis" in the front view to expand the "Area Selection" interface of the site, enter the interface change state diagram 1, and enter the interface change state diagram 2 after selecting a site in the interface change state diagram 1; click the icon on the right side of "Site Information" in the interface change state diagram 2 to expand the information of the current site and enter the interface change state diagram 3.

The application discloses a kind of non-normal power consumption field analysis method and system, comprising: obtaining power consumption data;The power consumption data is integrated, and data of different sources is loaded into a new data source;Electricity data filling is carried out in new data source, and abnormal power consumption data is eliminated;The data source is different in the value range of the characteristics of the data that too much difference is normalized;The characteristics of the data after normalization are selected;Selected data is trained using ELM algorithm to obtain a prediction model;Real-time power consumption data is predicted using the obtained prediction model to determine whether there is non-normal power consumption.The non-normal power consumption field analysis method and system based on extreme learning provided by the application not only can reduce the model network parameter adjustment time and enhance the model generalization performance, but also can ensure the accuracy of power consumption non-normal inspection work.

The present invention discloses a flood classification method based on a graph attention neural network, comprising: constructing a flood event dataset; constructing a flood atlas; extracting graph-level features of the flood map corresponding to each flood event based on the graph attention neural network (GAT); and classifying floods using a K-means clustering method based on the graph-level features of the flood atlas. The present invention introduces graph neural networks into the field of flood classification, achieving deep learning modeling of the spatial correlation characteristics of river basin floods. The graph attention network is used to integrate synchronously monitored flow data from multiple sites within the basin, extracting the spatiotemporal evolution characteristics of floods in the river network of the basin, and breaking through the limitations of traditional single-site analysis methods. The method proposed in the present invention relatively considers the spatial heterogeneity of floods, and the classification results contain richer information.

The invention relates to the technical field of social media site analysis, and discloses a regional site characterization method and system, and the method comprises the steps: extracting a user group from a social media user group; performing entity feature word and camp feature word analysis on texts published by users in the sampled user group to obtain a first vertical distribution prediction result; carrying out double labeling of the standing and personality characteristics on the users whose activeness is higher than a set condition, training a personality-standing association model by using labeled data, analyzing the personality characteristics of the users whose activeness is low, deducing the standing, and carrying out statistics to obtain a second standing distribution prediction result; and carrying out weighted fusion on the first vertical field distribution prediction result and the second vertical field distribution prediction result to generate a final regional vertical field representation. According to the method, the quantitative mapping relationship among the user behaviors, the personality characteristics and the potential site is established, and accurate sampling is performed according to the population distribution in the real world, so that accurate and full-quantitative insight of the regional site is realized.

The utility model relates to the technical field of liquid filling, and discloses on-site analysis equipment for filling backup liquid. The on-site analysis equipment for backup liquid filling comprises a connecting pipe, rubber pads are fixedly installed at the two ends of the connecting pipe, an electromagnetic valve is fixedly installed at the front end of the connecting pipe, a bolt is installed on the front side of the connecting pipe in a penetrating mode, a nut is installed at the tail end of the bolt in a penetrating mode, and a limiting pipe is fixedly installed above the connecting pipe; the bottom end of the probe is located in the center of the connecting pipe, flange structures are arranged at the front end and the rear end of the connecting pipe, and flange structures are also arranged at the two ends of the electromagnetic valve. In the filling process, the filled liquid substance is in contact with the probe, and in this way, the step of erecting a sampling tube can be omitted while the probe is in contact with the liquid substance, so that equipment is convenient to install.

A method for constructing a pre-fabricated component of a building, including: configuring a pre-fabricated component of a building based on energy informed modelling; wherein the pre-fabricated component is able to be assembled with at least one other pre-fabricated component into the building at a final site for the building. A method for constructing a building, including: performing site analysis to determine at least one environmental condition; and optimizing at least one pre-fabricated component of the building based on energy informed modelling based on one or more of historical data of a location of the building, weather patterns of the location, climate data of the location, temperature data of the location, solar data of the location, orientation data of the location, occupancy rate of the building, building insulation data, ventilation and infiltration data, exterior fenestration, shades implementation, or pre-fabricated component configuration.

The invention provides a system for real-time and on-site analysis of water quality issues utilizing advanced algorithms, machine learning, and AI-based assessment, the system employing a state-of-the-art rover equipped with advanced sensors to detect issues and anomalies in an aquatic biome and supply collected data to computing units, also deployed locally on the rover, which then operate to assess the collected data by employing advanced algorithms to generate search engine queries, identify and extract pertinent terms from search results, assess likely causes of detected issues and anomalies, and provide real-time, on-site reports and analysis of findings.

The present invention discloses a smart park comprehensive management system and a management method thereof, and relates to the technical field of smart park management. The present invention comprises: a smart park environmental protection site monitoring module, a smart park monitoring module, a smart park environmental protection site analysis module, a smart park environmental protection site extension processing module and a database. The present invention ensures the efficiency of the staff, reduces the manpower operation and maintenance cost, improves the aesthetics of the smart park, reduces the probability of breeding bacteria or producing harmful substances to pollute the environment, thereby reducing the threat to the health of the staff in the smart park. The present invention ensures the rationality of the construction of the environmental protection site extension, ensures the living environment quality of the surrounding staff, thereby ensuring the overall environmental quality of the smart park, provides the value of the environmental protection management of the smart park, improves the brand image of the smart park, and improves the attractiveness of the smart park to enterprises.

The invention provides a power plant two detailed rule frequency modulation on-site analysis method, system, device and medium, and the method comprises the steps: connecting with a DCS system of a power plant through a sensor and an interface, collecting the frequency modulation data of the power plant, and carrying out the preprocessing; key indexes of frequency modulation performance are extracted from the frequency modulation data by adopting a preset algorithm and a preset model; based on the key indexes, performing frequency modulation performance analysis of the power plant according to the assessment requirements of the two detailed rules; and performing real-time adjustment and control on frequency modulation equipment of the power plant through an interface or a control signal according to a frequency modulation performance analysis result so as to solve the problem that a frequency modulation analysis method focuses on remote monitoring and analysis and has defects in real-time and on-site analysis of a power plant site.

The invention provides a geological survey method for recovering metamorphic rock protolith types by utilizing boron isotope fractionation characteristics. The method comprises the following steps: establishing a benchmark database containing a plurality of non-metamorphic protorock boron isotopes and key inactive element contents; a double-control correction model of boron isotope fractionation is established, quantitative function relationships between a distribution coefficient and pressure and between a fractionation coefficient and temperature are respectively established through high-temperature and high-pressure experimental data, and a fluid activity factor is introduced to form an inversion calculation equation. The model is used for inversion to obtain original boron isotope composition, then the original boron isotope composition and key element indexes are subjected to collaborative analysis, a two-dimensional discrimination diagram is constructed, and the protolith type is finally determined by comparing discrimination regions in a reference database. According to the method, the metamorphic fractionation effect is effectively corrected, and the accuracy and reliability of high-grade metamorphic rock protolith recovery are remarkably improved in combination with double geochemical index constraints. The method can be matched with portable on-site analysis equipment, and field rapid discrimination is realized.

The invention relates to a construction method of a low-maintenance plant landscape mainly comprising perennial herbaceous plants. The method comprises the following steps: analyzing a construction site; generating a plant landscape design scheme according to plant landscape project requirements; required plants are screened according to the plant landscape design scheme; carrying out site processing according to the construction site analysis result; and planting the screened plants in the treated field. Wherein the plant landscape design scheme comprises theme design, community structure design, plane design, facade design, color and texture design and seasonal phase design; the community structure design comprises the steps that a plant community is divided into a ground cover covering layer, an inlay layer, a theme layer and a structure layer; and according to the function of each layer in the community, plants of different strategy types are allocated to different layers in combination with a plant CSR ecological strategy. Community structure design is carried out, different types of plants are selected in a targeted mode according to different levels of the community, the long-term stable effect of the community is achieved, and low-maintenance and long-term appreciation of plant landscapes is achieved.

Mobile forensic system for on-site analysis and comparison of paint and damage traces on vehicles, comprehensive: a) a 3D scanner module for capturing the three-dimensional surface geometry, local height deviations and the exact position of the damage area relative to the vehicle coordinate system and the ground reference, b) a camera module for macroscopic imaging with automatic focus and optimized lighting, c) at least one spectroscopic analytical module, selected from the group XRF, LIBS and Raman, for chemical characterization of the trace regions, d) optionally a module for optical profilometry for high-resolution analysis, e) a control unit for the automatic co-registration of all measurement data, in particular geometric 3D data, high-resolution image data, spectroscopic analysis data as well as optional profilometry measurement data and other sensor signals, in a common, three-dimensional coordinate system, f) a logging unit that generates a legally valid measurement log with chain-of-custody, ID, timestamp, user identification, calibration data and digital signature, wherein the radiation-carrying analytical modules are arranged in one or more protective hoods and are designed to ensure safe operation and prevent the escape of X-rays and laser light.

The utility model discloses a portable air sampling device, which relates to the technical field of air sampling, and comprises an injector, a sampling tube, a buffer tube and an analysis cup, the injector can be communicated with a sampling environment through the sampling tube, the injector extracts an air sample in the sampling environment through negative pressure, and the buffer tube is communicated with the analysis cup. The injector which collects the air sample can be communicated with the analysis cup through the buffer tube, and absorption liquid is arranged in the analysis cup. The injector is used for collecting gas, can be directly connected with an analysis cup for on-site analysis, can also be taken back to a laboratory for analysis, can be freely selected according to actual working requirements and the state of a sample to be detected, and can be used in different scenes.

A system and method for analyzing industrial environments through integrated multi-modal sensing, artificial intelligence, and automated deployment optimization. The system includes a dome base with multiple integrated sensors generating data streams from different sensing directions and sensor types. Machine learning workflows utilize multi-modal sensor fusion, computer vision algorithms, and predictive modeling techniques to transform reactive maintenance approaches into proactive, autonomous maintenance systems optimized for both technical performance and economic outcomes. The system includes mobile device integration capabilities for automated site analysis, equipment recognition, and sensor placement optimization using three-dimensional environmental mapping. Synthetic data generation enables customer demonstrations and system validation through simulated equipment behavior across operational and failure states. AI-driven sales automation generates technical proposals, cost-benefit analyses, and maintenance recommendations based on real-time sensor data and predictive modeling. Distributed intelligence architecture enables autonomous transaction processing, vendor management, and maintenance coordination throughout industrial maintenance ecosystems.

The invention relates to the technical field of optical fiber sensing, in particular to an earth and rockfill dam seepage detector based on distributed optical fiber sound wave sensing and a detection method.The earth and rockfill dam seepage detector achieves continuous real-time detection under program control, facilitates rapid data collection of a detected section face, and can detect the seepage of an earth and rockfill dam through a demodulation algorithm. A waterfall plot, an apparent velocity profile map and the like are generated through a surface wave inversion algorithm, and the abnormal distribution condition in the earth and rockfill dam can be detected. Data are transmitted in real time, analyzed in real time, sampled at a high speed and digitally processed, a corresponding frequency dispersion curve and a geologic structure chart can be displayed while measurement is carried out, and great convenience is provided for field analysis and judgment. Meanwhile, by means of the permanently-buried optical fibers, irregular inspection can be conducted on the earth and rockfill dam, and the process is simple. Therefore, the equipment solves the problems that the seepage monitoring precision of the earth and rockfill dam is low and the timeliness is not high in a traditional mode.