1101 results about "Chemical substance" patented technology

The technical scheme of the invention relates to the technical field of gas detection, in particular to a hazardous chemical storage leakage positioning and tracing method based on a gas array. The method comprises the following steps: collecting gas concentration, components and environmental physical field parameters through a three-dimensional heterogeneous sensor array, and generating a multi-modal data set; and matching the noise mode feature library in the knowledge base by using a transfer learning algorithm, dynamically correcting the baseline drift of the sensor, and outputting calibrated data. A closed-loop adaptive mechanism adjusts sensor parameters and network hyper-parameters through meta reinforcement learning, neural architecture searches and optimizes a model structure, and a differential evolution algorithm updates fluid mechanics boundary conditions. Through cooperation of physical constraint and data driving, the problem of signal distortion in a complex environment is solved, the leakage source positioning precision and robustness are improved, and the method is suitable for the field of hazardous chemical substance storage safety monitoring.

The invention relates to the technical field of workflow management, in particular to a factory dangerous chemical supervision system, which comprises an environmental data acquisition module for acquiring temperature, pressure and chemical substance concentration environmental parameters and machine operation state and employee behavior data based on a chemical production workshop, monitoring each parameter in real time by adopting a sensor network, and sending the monitored parameters to a database; data of each sensor are transmitted to a data center in a wired or wireless mode, and real-time environment data are obtained. According to the method, abnormal values and missing values are eliminated through data processing, and the reliability of an analysis result is ensured. And standardization processing and timestamp alignment are implemented, so that data of different sources are effectively fused, and accurate risk assessment is supported. The current parameters are compared with the historical data, so that the potential risk can be quickly identified, and accurate risk level assessment is provided. The real-time performance of monitoring is improved, the emergency response is optimized, and the probability of safety accidents is remarkably reduced.

The invention provides the uses of chemical waste and byproducts in a chemical library to store digital information, and methods for computing with unknown waste chemicals by encoding digital data into a plurality of chemicals to obtain a dataset; translating the dataset into a chemical form; reading the data set; querying the dataset by performing an operation to obtain a perceptron; and analyzing the perceptron for identifying change in at least one of the chemicals, thereby developing a chemical computational language. The invention demonstrates a workflow for representing abstract data in synthetic metabolomes. Also presented are several demonstrations of kilobyte-scale image data sets stored in synthetic metabolomes, recovered at >99% accuracy.

The invention belongs to the technical field of ceramic glaze, and particularly discloses antibacterial ceramic glaze and a preparation method thereof.The ceramic glaze is prepared from, by mass, 60-75 parts of basic glaze, 1-3 parts of nanometer titania, 2-6 parts of cosolvent, 0.5-3 parts of ochre, 5-10 parts of curcumin, 1-3 parts of stabilizer, 1-5 parts of rare earth antibacterial agent and 1-3 parts of sodium polyacrylate, and 1-6 parts of a composite additive. According to the antibacterial ceramic glaze and the preparation method thereof, the antibacterial performance, glossiness and smoothness of a glaze surface are improved, the crystal structure of the glaze can be refined through introduction of rare earth ions, the hardness of the glaze surface is enhanced, the wear resistance of a ceramic product is effectively improved, and the service life of the ceramic product is prolonged. Stable chemical bonds are formed in the glaze due to the special chemical properties of the rare earth elements, the resistance of the glaze to chemical substances such as acid and alkali is enhanced, and the chemical corrosion resistance of the ceramic glaze is improved.

A multi-layer seal formed with a first layer for visual detection of leak by incorporating coloring agent that is water soluble, a second layer for electrical detection of a leak by a sensor, the second layer incorporating disbursable agent which disburses into the water upon contacting water and causing a change in chemical, and / or electrical property of the water, and a third layer made of water swelling material which swells upon contact with water. The three layers may be arranged in an orientation wherein a leak would first reach the first layer, then reach the second layer, and lastly reach the swelling layer. The sealing layer arrangement may be correlated to the fluid flowing direction. The layers may form independent parts placed side-by-side or may be integrated into a single seal loop.

The invention discloses an automatic environment air quality monitoring method and system, a product and a medium, and relates to the field of environment monitoring, and the method comprises the following steps: obtaining concentration data of malodorous chemical substances based on monitoring sensors in a plurality of monitoring stations; selecting the target monitoring point with the highest concentration data as a reference point, and marking a plurality of potential pollution sources based on the current wind direction and current wind speed data of the target monitoring point at the current monitoring time point; obtaining the reference distance between each potential pollution source and the reference point, the consistency degree with the current wind direction and emission historical data; calculating a pollution score of each potential pollution source based on the reference distance, the consistency degree and the emission historical data; determining the potential pollution source with the highest pollution score as a pollution starting point; and sending the position coordinate of the pollution starting point to a target client. By implementing the method, the accuracy of pollution source speculation can be improved.

The invention belongs to the technical field of SERS (Surface Enhanced Raman Scattering) detection, and particularly relates to an Ag-MoO2 composite SERS substrate as well as a preparation method and application thereof. The preparation method comprises the following steps: firstly, preparing Ag nanoparticles which are uniformly distributed and have the same size by a sodium citrate reduction method; secondly, a MoO2 material is prepared through a hydrothermal method; and finally, the novel SERS substrate Ag-MoO2 is prepared through a physical stirring method. According to the invention, the novel SERS substrate made of Ag nanoparticles and MoO2 materials is constructed, which is different from the conventional SERS substrate made of independent Ag nanoparticles, and can detect stronger intrinsic Raman signals of probe molecules. As the SERS substrate needs to be compounded with a MoO2 material during preparation, a charge transfer phenomenon can occur at an interface where the SERS substrate is in contact with probe molecules, so that intrinsic Raman signals of the probe molecules can be enhanced, and the SERS substrate can be better used for detecting and analyzing chemical substances.

A method for monitoring and / or controlling a production of at least one chemical product, the method comprising: providing chemical product data related to a production and / or a processing of the chemical product, providing a plurality of chemical product data templates indicative of a structure associated with at least a part of the chemical product data, selecting at least one chemical product data template by determining at least one chemical product data template corresponds to at least a part of the chemical product data, generating contextualized chemical product data by merging at least a part of the chemical product data and the at least one selected chemical product data template, providing the contextualized chemical product data to a data-driven model for generating environmental property data related to an environmental property associated with processing and / or producing the chemical product, wherein the data-driven model is configured to provide the environmental property data in response to being provided by the contextualized chemical product data, providing the environmental property data for monitoring and / or controlling processing and / or a production of the at least one chemical product.

The embodiment of the invention discloses a dangerous chemical identification method, and the method comprises the steps: obtaining chemical information data, and constructing a dangerous chemical semantic database according to the chemical information data through employing a deep learning multi-modal data fusion algorithm; according to naming rules and attributes of chemicals, defining text variables and numerical variables, extracting hazardous chemical judgment conditions from the chemical information data, and establishing a hazardous chemical rule base according to the text variables, the numerical variables and the hazardous chemical judgment conditions; according to the chemical information data, establishing a hazardous chemical data model based on a graph neural network technology; constructing a hazardous chemical substance identification system by using the hazardous chemical substance semantic library, the hazardous chemical substance rule library and the hazardous chemical substance data model; and obtaining to-be-classified chemical information, and classifying to-be-classified chemicals in the to-be-classified chemical information by using a hazardous chemical identification system to obtain a hazardous chemical judgment result. According to the invention, more intelligent and accurate dangerous chemical identification is realized.

A disintegrable oilfield chemical composite includes a core containing an oilfield chemical and a disintegrating agent containing at least one of a phase change material or a gas-producing material; and a shell encapsulating the core. A method includes introducing into a subsurface formation a treatment fluid including the disintegrable oilfield chemical composite; heating the disintegrating agent to cause the phase change material to expand, or to cause the gas-producing material to produce a gas, or a combination thereof to break the shell; and releasing the oilfield chemical from the disintegrable oilfield composite.

The invention relates to the technical field of dangerous chemical storage and transportation, and discloses an intelligent dangerous chemical storage and transportation system, which comprises a sensing layer provided with an RFID automatic identification module, an environment monitoring module and a video monitoring and behavior analysis module; the data processing layer is configured with a data acquisition gateway, a data storage platform and a data processing and analyzing module; the application layer is configured with a management platform, an intelligent early warning and alarm system, an intelligent decision support system and a report generation and data archiving system; all the layers are connected through a communication network and are used for realizing real-time monitoring and management of the whole storage and transportation process of the hazardous chemical substances. By integrating technologies of RFID automatic identification, environment monitoring, video monitoring, behavior analysis and the like, real-time monitoring and automatic early warning of the whole storage and transportation process of the hazardous chemical substances are realized. Once environmental parameters exceed standards or abnormal behaviors occur, the system gives an alarm immediately and starts emergency response, the safety of the storage and transportation process is remarkably improved, and accidents are prevented and reduced.

The invention relates to the technical field of water quality detection, in particular to a water quality total chlorine detection method and system.The method comprises the steps that firstly, the influence of environmental conditions on a chromogenic reaction is considered, and the environmental interference degree is determined through the temperature influence degree representing the overall temperature fluctuation change and the pH value influence degree representing the overall pH value standard deviation condition; then determining the chemical interference degree by characterizing the wavelength standard deviation and width of the maximum absorption peak which interferes with the influence of chemical substances and deviates and the number of redundant absorption peaks according to the influence of chemical conditions on the chromogenic reaction; determining a historical measurement error of the water quality total chlorine detector through a control variable method; the corrected water quality total chlorine concentration obtained by correcting the initial water quality total chlorine concentration by means of the environmental interference degree, the chemical interference degree and the measurement error is more accurate, and the accuracy of water quality total chlorine detection according to the obtained water quality total chlorine concentration is higher.

A device and method for delivering biological material and / or synthetic chemistries to a liquid medium comprising securing a capsule to an opening of a container, the capsule comprising a cap portion for securing the capsule to the container and an elongate portion comprising a cavity defined by a frangible bottom, wherein the cavity comprises live biological material therein and a plunger comprising a disrupting mechanism, suspending the elongate portion of the capsule into an interior cavity of the container, depressing the plunger, cutting or disrupting the frangible bottom of the capsule, and releasing the material into the liquid medium.

The present invention relates to a solution for non-destructive quantification of one or more chemical substances in a matrix comprising coating and bulk material in a sample, for example coated seeds, using Infrared Spectroscopy data of the sample and a computer-implemented multivariate data analysis

The invention relates to the technical field of environmental analysis, and discloses a new pollutant identification method and device, computer equipment and a storage medium, and the method comprises the steps: determining a target execution strategy through determining the application sequence of each non-target analysis method and each computational toxicology method in a high-throughput fusion method; the method can be realized by reasonably selecting and switching execution strategies whether searching corresponding chemical substances from the toxic effect or evaluating the toxic effect of the chemical substances from the found chemical substances. Furthermore, a target execution strategy is utilized to perform new pollutant risk assessment and calculate a plurality of risk values, various characteristics of the new pollutants and performance in an actual environment are comprehensively considered, and the potential risk of the new pollutants can be quantitatively reflected from different angles. And finally, multiple target new pollutants are further determined in combination with multiple risk values, and objects which have great threats to the environment and human health and need to be managed and controlled preferentially are screened out from numerous possible new pollutants.

An information management system includes information management apparatuses belonging to A to D companies, respectively, and a platform provider. When a new chemical substance is added as a result of revision of laws and regulations etc. to chemical substances designated under the laws and regulations, the platform provider updates a restriction list and transmits transaction data that proposes update of restriction lists in distributed ledgers to the information management apparatuses. Each of the information management apparatuses approves the transaction data and updates the restriction list thereof. Each of the information management apparatuses discloses information on a chemical substance included in the updated restriction list to an information management apparatus in a downstream company.

An object is to provide a liquid chemical exhibiting excellent defect inhibitive performance even in a case of being applied to a resist process by KrF excimer laser exposure and ArF excimer laser exposure. Another object is to provide a method for analyzing a test target solution and a method for producing a liquid chemical.A liquid chemical includes an organic solvent; and metal-containing particles containing a metal atom and having a particle size of 10 to 100 nm, in which the number of the metal-containing particles contained is 1.0×10−2 to 1.0×1012 particles / cm3.

The present disclosure provides a method for simulating the environmental exposure concentration of chemical substances in lakes that meets the scale of a watershed, including: dividing the lake into regions according to a division rule to obtain multiple partitions, and recording the geometric parameters of each partition, the division rule including a first rule that the only water outlet and the water inlet of the lake are divided into different partitions and a second rule that the regional division meets the needs of chemical substance concentration management; calculating the calculated water flow rate between each partition on the same day and the calculated water outflow rate of the water outflow partition based on the daily hydrological data from the watershed hydrological model, the estimated value of the water level of each partition and the geometric parameters; optimizing and adjusting the partition by adjusting the water level or volume of the partition based on an optimization index, the optimization index including a first index related to the calculated water outflow rate of the water outflow partition on the same day and a second index related to the water flow rate between each partition on the same day; calculating the daily chemical concentration of the adjusted partition based on the chemical substance data from the watershed hydrological model.

The invention provides a fluopicolide preparation method and a fluopicolide preparation device, and relates to the technical field of pesticide bactericide production. A first feeding pipe and a second feeding pipe are mounted at the left end of the first reaction tank, and the right end of the first reaction tank is connected with a second reaction tank through a first discharging pipe; raw materials participating in the reaction are cheap and easy to obtain, the product quality and yield stability are high, the reaction conditions are mild, and the device and the preparation method are suitable for large-scale production in workshops; when the device discharges, powder adhered to the inner wall of the drying tank is automatically scraped and cleaned, so that the device has better cleaning and using effects and better maintenance efficiency; the problems that multiple chemical substances need to be introduced to participate in the reaction, the reaction process is complex, later impurity removal and purification are not facilitated, the production cost is relatively high, the reaction speed is slow, the reaction effect is poor, and the device and the preparation method are not suitable for large-scale production in workshops are solved.

The invention relates to the technical field of high polymer materials, and discloses a preparation method and application of polystyrene-divinyl benzene composite microspheres, and an environment-friendly solvent system, such as a water-based or non-toxic organic solvent, is adopted to replace a traditional organic solvent. The solvent pollution risk can be reduced by using water-phase emulsion polymerization, meanwhile, the recovery and treatment of the solvent are simplified, the surfactant is optimized, the low-toxicity and environment-friendly surfactant is selected for emulsion stabilization, and chemical substances harmful to the environment and the human body are prevented from being used. By optimizing a polymerization process, accurately controlling the crosslinking degree and introducing a green solvent and an environment-friendly surface modification method, the improved polystyrene-divinyl benzene composite microsphere overcomes some defects (such as high cost, non-uniform particle size, difficulty in controlling the crosslinking degree and the like) in the prior art; in addition, the method has wider application potential in a plurality of fields (such as coatings, medicines and catalysis), and has better environmental protection property, health safety and the like.

The invention discloses a rare and endangered organism toxicity prediction method based on a machine learning algorithm and a quantitative structure-activity relationship, which constructs a toxicity prediction model through the machine learning algorithm, can effectively assess the toxicity influence of environmental pollutants on rare and endangered organisms, and provides technical support for rare and endangered organism protection and ecological environment risk assessment. Comprising the following steps: 1, collecting data related to rare and endangered organisms from a public database, and establishing a rare and endangered organism toxicity prediction database based on machine learning; 2, generating molecular descriptors for the chemical substances; step 3, data preprocessing; 4, development of acute and chronic toxicity prediction models of rare and endangered organisms based on multiple machine learning is carried out, and performance evaluation is carried out; 5, performing internal and external verification on the rare and endangered biotoxicity prediction model; step 6, analyzing the importance of the features by using the valuable, rare and endangered biotoxicity prediction model, and finding out the most influential features; and 7, predicting the toxicity value of the pollutants in combination with the optimal machine learning model.

In the present invention, information relating to a plurality of chemical substances and products to be reacted, which is acquired, is similar to information relating to a plurality of chemical substances and products, which is set for reaction conditions. A plurality of reaction conditions obtained when a plurality of chemical substances to be reacted are reacted are set from reaction items set for the reaction conditions. Furthermore, an estimation model is used which is obtained by performing machine learning using, as training data, chemical structure information and physical property information of a plurality of chemical substances that have been reacted in the past, reaction conditions in the reaction, chemical structure information and physical property information of a product that has been generated, and a yield when the reaction is performed under the reaction conditions. A yield is estimated for each of a plurality of reaction conditions, and a reaction condition for which the yield satisfies a predetermined condition among the estimated yields is displayed (output).

An apparatus for testing personal protection equipment or devices comprising an enclosure body having an air-inflatable support structure that receives an air-transferable chemical and air to maintain a substantially rigid structural integrity; a nozzle connected to the air-inflatable support structure, wherein the nozzle releases air and the air-transferable chemical from the air-inflatable support structure into the interior of the enclosure body for a selected period of time as a concentration of the air-transferable chemical in the interior of the enclosure body is at a steady state of uniformity; and a panel integrated into the enclosure body that passively releases air from the enclosure body.

Disclosed herein are a membrane suitable for separation of chemical species, the membrane comprising a ceramic substrate having a first surface and a second surface, an anchoring chemical layer on the first surface of the ceramic substrate, and a covalent organic framework (COF) layer on the anchoring chemical layer, and a method of using the membrane in a process of separating a first organic compound from a second organic compound. Also disclosed herein are a method of forming a membrane suitable for separation of chemical species, and a device to manufacture a membrane suitable for separation of chemical species.

A system and method are provided for adding chemicals to a produced fluid in a wellbore. An exemplary system includes a gauge hanger and a permeable container. The permeable container includes a solid cylindrical body, end caps placed at each end of the solid cylindrical body, and holes disposed proximate to each end of the permeable container, wherein the holes allow the produced fluid to flow through the permeable container from one end of the permeable container to the opposite end of the permeable container. The system further includes a well treatment chemical disposed in the permeable container.

The invention relates to a method for bonding a layer of elastomeric material (CE) to an aluminum substrate (SM), characterised in that it comprises the following steps: a) treating the surface (S) of the aluminum substrate (SM) in order to roughen it; b) treating the surface (S) by means of argon plasma; c) exposing said surface (S) to a plasma in the presence of a gaseous chemical precursor selected from the group consisting of epoxides, acrylics, olefins, alkynes and imides, until a deposit of chemical substances having a thickness of 5 nm to 110 nm is obtained; d) bringing the layer of elastomeric material (CE) into contact with the surface (S) of the aluminum substrate (SM); e) vulcanizing the layer of elastomeric material, said step c) being carried out at a low pressure, i.e. At a pressure of 10-2 mbar to 10-5 mbar.

The present disclosure is related to the separation of chemical species using multiple liquid phases.

An automated chemical formulation apparatus includes: a data reception unit that receives an input chemical material dataset including chemical material information, chemical composition information, chemical formulation information and property information thereof; a predicting model generation unit that trains a first machine learning model using the input chemical material dataset to generate a predicting model for predicting a chemical formulation based on target property information of a target material; and a formulation prediction unit that sets a boundary condition based on the input chemical material dataset, generates a new input dataset including at least one of chemical material information, chemical composition information, and chemical formulation information within the boundary condition, inputs the new input dataset to the predicting model, and sets predetermined one or more pieces of target property information to perform prediction, thereby outputting a first group of chemical formulation data.

The invention relates to a functional gene abundance-based river nitrogen concentration simulation method, which comprises the following steps of: 1, determining a nitrogen conversion process related to a model according to environmental condition characteristics of a river; 2, determining functional genes and chemical substances involved in the model according to the selected nitrogen conversion process, and obtaining the abundance of the involved functional genes and the concentration of the chemical substances through on-site sampling and monitoring; and step 3, combining the functional gene abundance change equation and the chemical substance concentration change equation, inputting the functional gene abundance and the chemical substance concentration obtained in the step 2 into the equations, and calculating nitrogen concentrations in different spaces and time so as to simulate the nitrogen concentration of the river. According to the method, the mathematical model of the river nitrogen conversion process is constructed through the microbial metabolism reaction mechanism, and compared with a traditional water environment model, the distribution characteristics of nitrogen can be more accurately simulated, and the change rule can be predicted.

The invention provides a lake chemical substance environmental exposure concentration simulation method meeting the watershed scale, which comprises the following steps: carrying out regional division on a lake according to a division rule to obtain a plurality of subareas, and recording geometric parameters of each subarea, the division rules comprise a first rule for dividing a unique water outlet of the lake and a water inlet of the lake into different zones and a second rule for dividing the zones according with chemical substance concentration management requirements; according to hydrological data of the current day from the watershed hydrological model, the estimated value of the water level of each subarea and the geometric parameters, calculating a water flow calculation value between the subareas and a water outlet flow calculation value of the water outlet subarea on the current day; based on optimization indexes, the partitions are optimized and adjusted by adjusting the water levels or volumes of the partitions, and the optimization indexes comprise a first index related to the calculated value of the water outlet flow of the water outlet partition on the current day and a second index related to the water flow of the partitions on the current day; and according to chemical substance data from a watershed hydrological model, calculating the intraday chemical substance concentration of the adjusted subarea.