36 results about "Chemical management" patented technology

The invention provides a chemical exposure dynamic simulation evaluation method and system for a wastewater treatment process, and the method comprises the steps: firstly obtaining a chemical adding data set and a real-time monitoring data set of a target wastewater treatment process, and then carrying out the dynamic exposure parameter extraction; generating a dynamic exposure parameter set containing chemical diffusion rate, exposure contact time and environment interaction influence parameters, and then performing multi-stage iterative simulation on the dynamic exposure parameter set based on a preset dynamic simulation strategy network; a chemical exposure dynamic simulation result containing exposure concentration distribution and exposure risk probability of each processing node is obtained, exposure risk assessment is carried out according to the chemical exposure dynamic simulation result, and a chemical exposure optimization strategy set containing dosing concentration adjustment, dosing time sequence optimization and emergency response triggering strategies is generated; and feeding back to a wastewater treatment control system so as to dynamically adjust the chemical adding process and realize more accurate and safer wastewater treatment chemical management.

The invention discloses a safety evaluation method, system, equipment and program for a chemical storage place, and relates to the technical field of dangerous chemical management, and the method comprises the steps: carrying out the time-space alignment of multi-source data; wherein the multi-source data comprises stored chemical data, environment data, equipment state data, management data and historical data; extracting spatial features of the multi-source data after space-time alignment, and generating a spatial risk weight map; pre-training a risk evaluation model; and mapping the weight in the spatial risk weight map to the risk evaluation model to obtain a risk level. Through the treatment scheme disclosed by the invention, potential risks of the storage place can be found in time, early warning can be performed in advance, emergency response can be started, the possibility of accidents can be effectively reduced, and the safety of the chemical storage place can be improved.

The invention discloses a coal slime water sedimentation treatment method based on dynamic agent addition and intelligent monitoring. The method comprises the following steps: sample collection and pretreatment; pre-preparing a medicament and testing the suitability; adding a dynamic agent; the sedimentation process is optimized; real-time monitoring and feedback control are carried out; and treating after settling and recovering clear liquid. By monitoring the turbidity and the settling time of the slime water in real time and dynamically adjusting the dosage of the medicament, the problems of over-high medicament consumption and non-uniform settling effect caused by fixed medicament dosage in the prior art are effectively solved. And through precise medicament management, the medicament cost is remarkably reduced, and the resource utilization efficiency is improved. Through the design of the multi-stage sedimentation tank and the sectional sedimentation technology, the sedimentation efficiency is improved, the sedimentation space is fully utilized, the sedimentation time is shortened, and an excellent sedimentation effect is achieved. Due to the design of the multi-stage sedimentation tank, the flexibility and adaptability of the sedimentation process are enhanced, the device is suitable for different slime water characteristics, and the overall sedimentation efficiency is improved.

The invention discloses a laboratory safety intelligent monitoring management system and method based on the Internet of Things and the data driving technology. The monitoring management system comprises a laboratory environment monitoring module, an experimenter behavior monitoring module, an experimental equipment state monitoring module, a hazardous chemical substance management monitoring module, an intelligent potential safety hazard early warning and evaluation module and an emergency response remote cooperative processing module, and the six modules carry out cooperative processing. The monitoring management method comprises five modes of laboratory environment monitoring, experimenter behavior monitoring, experimental equipment state monitoring, hazardous chemical substance management monitoring and emergency response remote cooperative processing. According to the invention, a newly proposed time sequence prediction attention mechanism module prediction unit is adopted, the prediction accuracy is improved, various factors which are easy to cause experimental accidents in a laboratory are comprehensively considered, early warning can be carried out for different abnormal conditions, and effective supervision of laboratory safety risks is ensured.

The invention relates to a matrix type Internet of Things hazardous chemical substance management system, which comprises a plurality of storage cabinets and a console, and is characterized in that the console comprises a man-machine interaction module, an incompatibility module and a position management module; the man-machine interaction module is used for sending a warehousing instruction to the incompatibility module; the incompatibility module is used for predicting a target reagent category of the first chemical reagent when the first chemical reagent is not queried in the incompatibility table, and sending the target reagent category to the position management module; and the position management module is used for determining a first storage cabinet for storing the first chemical reagent in the plurality of storage cabinets and sending an unlocking instruction to the first storage cabinet. Therefore, the types of the chemical reagents can be automatically analyzed, the proper storage positions of the chemical reagents can be deduced according to the predicted types of the chemical reagents, and incompatibility can be effectively avoided.

The invention provides a dangerous chemical fire accident tracing method based on RFID, and belongs to the technical field of fire tracing, and the method comprises the steps: configuring an RFID tag for each dangerous chemical container; based on a pre-deployed read-write network, information of each RFID tag is read and transmitted to a central data platform, and a dynamic information database of the dangerous chemicals is established; integrating the residual label information with a dynamic information database, tracing a position sequence and a state sequence of the dangerous chemicals before the fire occurs, and simulating a fire spreading path and an expansion trend of each path point on the spreading path according to the current fire situation and the residual label information of the dangerous chemicals; and comprehensively judging the cause of the fire accident and generating a traceability accident report. And the safety of dangerous chemical management is improved.

The invention discloses a chemical intelligent management and control system and method based on RFID, the intelligent management and control system comprises an intelligent transfer device and a server management system, and the server management system is in communication connection with the intelligent transfer device; the intelligent transfer device comprises a transfer structure, an operation screen and a main control panel, and an electric control lock is fixed outside the storage space; the main control board comprises a control module, a power supply module, an RFID identification module used for identifying RFID tags on chemicals to obtain chemical information, a positioning module, an identity identification module used for receiving and verifying user identity information, an electric control lock driving module, a sensor module and a serial port communication module. The RFID identification module is adopted to identify articles placed in the transfer device, taking and placing of the articles can be recorded, the articles are effectively prevented from being lost, the positioning technology of the positioning module is adopted, it is guaranteed that the track of the transfer process can be accurately positioned indoors and outdoors, and the transfer process is effectively supervised.

The application discloses a kind of safety evaluation method, system, equipment and procedure of chemical storage place, it is related to dangerous chemical management technical field, the method includes: to the space-time alignment of multi-source data;Wherein, the multi-source data includes storage chemical data, environmental data, equipment state data, management data and historical data;Extract the spatial feature of the multi-source data after space-time alignment, generate spatial risk weight chart;Pre-training risk evaluation model;The weight in the spatial risk weight chart is mapped to the risk evaluation model, and risk grade is obtained.Through the processing scheme of the present disclosure, potential risks of storage place can be found in time, early warning and emergency response are started, the possibility of accident occurrence is effectively reduced, and the safety of chemical storage place is improved.

This invention relates to the field of hazardous chemical monitoring technology, and more particularly to a method for monitoring the entire lifecycle of hazardous chemicals and predicting safety hazards based on LIMS. The method includes the following steps: Hazardous chemical information is entered into the LIMS by scanning electronic tags, and the operation steps and status are updated in real time when the chemical moves, forming updated data. The system compares the updated data with early warning rules, generates early warning information when an anomaly is triggered, and pushes it to the terminal server. The terminal server performs risk prediction based on the updated data and automatically generates disposal suggestions and graded contingency plans, ultimately forming a record of hazardous chemical hazard handling information, achieving intelligent monitoring and early warning throughout the entire process. This invention, by combining dynamic monitoring throughout the entire lifecycle, intelligent status recognition, and contextualized risk prediction, achieves accurate identification, early prediction, and graded disposal of hazardous chemical hazards, significantly improving the safety and emergency response capabilities of hazardous chemical management.

The invention relates to a pesticide-free management method and system for aphids on the surfaces of corn leaves through low-pressure stimulation induction and high-pressure killing. The pesticide-free management system is mainly composed of a low-pressure stimulation induction part, an airflow guide part and a high-pressure killing part. The method is characterized in that the low-pressure stimulation induction part induces aphids to actively stop eating and leave the surfaces of corn leaves through electric field stimulation generated by a pulse generator, and conditions are prepared for aphid migration; the airflow guiding part is used for guiding aphids to move to a killing net through pneumatic force generated by an air pump to prepare conditions for high-pressure killing; the high-voltage killing part kills aphids through high voltage generated by a high-voltage electrostatic generator, and the purpose of pesticide-free killing is achieved. The low-pressure stimulation induction part of the system can reduce energy consumption in an airflow guide link, and damage to corn plant leaves is avoided.

This invention relates to the field of hazardous chemical management technology, and provides a hazardous chemical violation early warning system based on image feature comparison. The system includes a real-time image acquisition module, a multi-dimensional feature extraction module, a violation scenario rule base module, a real-time image feature comparison module, and a linkage early warning triggering module. This invention utilizes deep learning networks to extract multi-dimensional features such as personnel protective attire, chemical properties, and the spatiotemporal trajectory of operational behaviors. Through real-time dynamic comparison with a preset violation scenario model, it achieves accurate identification of violations such as single-person operation, lack of protective equipment, mixing of incompatible chemicals, and dangerous dumping actions. The system combines edge computing and cloud-based big data analysis, supporting incremental fine-tuning of model weights and hierarchical early warning linkage. This invention effectively solves the problems of numerous blind spots in manual supervision and the difficulty in detecting hidden violations, significantly improving the proactive prevention capabilities and intelligent supervision level of hazardous chemical operations.

The utility model discloses an intelligent chemical management cabinet, and relates to the technical field of chemical management. The intelligent chemical management cabinet comprises a storage cavity, a ventilation cavity, a mounting cavity and a display screen, the storage cavity is used for placing chemicals; the ventilation cavity is arranged on the rear side of the storage cavity, one end of the ventilation cavity communicates with the storage cavity, and the other end communicates with the outside. The mounting cavity is arranged on the left side or the right side of the storage cavity and used for mounting a circuit board; the display screen is arranged above the storage cavity and faces one side of a user. According to the intelligent chemical management cabinet, the ventilation cavity is formed in the rear side of the storage cavity, one end of the ventilation cavity communicates with the storage cavity, the other end of the ventilation cavity communicates with the outside, and the internal space is reasonably utilized. Meanwhile, the mounting cavity used for mounting the circuit board is formed in the left side or the right side of the storage cavity, and the display screen is arranged on the side, facing a user, above the storage cavity, so that the structural compactness of the chemical intelligent management cabinet is effectively improved, the overall size is reduced, and the chemical intelligent management cabinet better meets the environment requirement of limited space.

The invention relates to the technical field of data visualization, in particular to a data processing method of a chemical management platform. The method comprises the following steps: deploying sensors in a chemical waste liquid separation unit to collect data such as concentration, temperature, pressure, pH value and sedimentation rate, performing fusion processing through edge computing equipment, adaptively dividing separation sections, and performing anomaly judgment based on a separation efficiency index to construct a dynamic visual model. And finally, the data is pushed to a chemical service platform through a network communication protocol, so that real-time data monitoring and risk early warning in the waste liquid separation process are realized. According to the invention, accurate division of separation segments is realized through multi-dimensional sensing acquisition and edge calculation, intelligent abnormal identification and dynamic visual modeling are realized through combination of a separation efficiency index and a convergence determination mechanism, and real-time data monitoring and risk early warning in a separation process are realized through a network communication protocol. Therefore, the data precision, the abnormity identification capability and the platform monitoring level of the chemical waste liquid separation process are obviously improved.

The utility model discloses intelligent chemical management equipment. The intelligent chemical management equipment comprises a cabinet body, a mounting plate, an access door and a latch assembly. The cabinet body is used for storing chemicals, and the mounting plate is arranged in the cabinet body and used for mounting the circuit assembly; the access door and the cabinet body are arranged in a turnover mode, and an access area is formed when the access door is opened relative to the cabinet body. The latch assembly is arranged between the cabinet body and the access door, and when the access door is closed relative to the cabinet body, the latch assembly is used for locking the access door to the cabinet body. The access door and the cabinet body are arranged in a turnover mode, an access area can be formed when the access door and the cabinet body are opened, and a user can conveniently access the internal circuit assembly to overhaul and maintain the circuit assembly when needed. The latch assembly is arranged between the cabinet body and the access door, so that when the access door is closed relative to the cabinet body, the access door can be firmly locked to the cabinet body, the risk that the access door is opened by mistake due to unforeseen circumstances is reduced, the risk that the intelligent chemical management equipment breaks down is reduced, and the safety of the equipment is enhanced.

The utility model belongs to the technical field of hazardous chemical substance management equipment, and particularly relates to a hazardous chemical substance on-site supervision box which comprises a box body, a plurality of rows of storage subareas are arranged on a storage platform in the box body, a height-adjustable limiting plate is arranged on a supporting rod in the box body, and a through hole and a clamping positioning structure are arranged on the limiting plate. The clamping positioning structure comprises a first clamping ring and a second clamping ring, strip-shaped clamping grooves are formed in the positions, located on the two sides of the through hole, of the limiting plate, and the straight plate sections of the first clamping ring and the second clamping ring are slidably connected into the strip-shaped clamping grooves. A control module, and a wireless communication module, an identity recognition system, a humidity sensor, a temperature sensor and an air pressure sensor which are connected with the control module are mounted in the box body, and the control module is connected with a far-end management terminal through the wireless communication module. The storage box is kept stable in the storage, taking or box body moving process, toppling and collision of the storage box are prevented, and the temperature, humidity, pressure and the like of the storage environment can be monitored in real time.

The application provides an RFID-based dangerous chemical fire accident tracing method, and belongs to the technical field of fire tracing. The method comprises the following steps: configuring an RFID tag for each dangerous chemical container; reading the information of each RFID tag based on a pre-deployed read-write network, and transmitting the information to a central data platform to establish a dynamic information database of dangerous chemicals; integrating residual tag information with the dynamic information database to trace the position sequence and state sequence of dangerous chemicals before the fire occurs; simultaneously, simulating the fire spreading path and the expansion trend of each path point on the spreading path according to the current fire situation and the residual tag information of dangerous chemicals; comprehensively determining the cause of the fire accident and generating a tracing accident report. The safety of dangerous chemical management is improved.

This invention relates to the field of hazardous chemical management technology, and provides a Weizhiheng intelligent weighing and big data comparison and early warning system for hazardous chemicals. The system includes modules for multi-dimensional time-series data acquisition, nonlinear physical loss compensation, dynamic tolerance generation based on operator profiles, and multi-dimensional verification and interlocking early warning. By collecting ambient temperature and humidity data and time spent away from the container, combined with saturated vapor pressure and viscosity coefficient, the system calculates and separates dynamic volatilization and wall residue losses to obtain the compensated actual operational consumption. A deep learning model adaptively adjusts the allowable consumption range based on the operator's historical variance characteristics. When consumption exceeds the limit, a visual perception front-end is activated to identify physical spillage characteristics. This invention eliminates the interference of environmental and physical factors on weight calculation, achieves accurate identification of non-malicious losses and illegal interception, and significantly improves the accuracy of safety control over the flow of hazardous chemicals.

The invention discloses a dangerous chemical transportation and storage rapid screening decision-making system based on multi-modal sensing. A Raman spectrogram and environment detection data of a to-be-detected sample are obtained through a multi-modal detection device; performing spectrum preprocessing on the Raman spectrogram to determine a preprocessed spectrogram; analyzing according to the preprocessed spectrogram, and determining a characteristic spectrum peak; screening the sample chemicals in the database based on the characteristic spectrum peaks, and determining one or more candidate chemicals; calculating the confidence coefficient of each candidate chemical, determining the candidate chemical corresponding to the highest confidence coefficient as an identified chemical, and determining a first UN number of the identified chemical; calling a corresponding preset environment data threshold interval based on the first UN number, and calculating a risk assessment score in combination with the environment detection data; and generating a dangerous chemical transportation and storage decision according to the risk assessment score. The detection time of the dangerous chemicals can be effectively shortened, and the field management and control efficiency and safety of the dangerous chemicals are improved.

The invention belongs to the field of chemical identification, relates to an image analysis technology, and aims to solve the problem that targeted optimization processing cannot be performed when an identification result is inconsistent with a verification result in the prior art, in particular to an intelligent chemical identification system based on image analysis. Comprising a label identification module, an identification verification module and a verification optimization module which are connected in sequence, and the label identification module, the identification verification module and the verification optimization module are all in communication connection with a database; automation and intelligentization of the chemical identification process are achieved, the reliability of the identification result is remarkably improved through a multi-dimensional feature verification mechanism, the requirement for manual intervention is reduced, the system can adapt to different environment conditions and chemical types through the self-optimization function, the long-term stable identification performance is kept, and the identification efficiency is improved. According to the scheme, the chemical management efficiency is improved, the safety management and control capability of dangerous chemicals is enhanced, and reliable technical support is provided for the chemical storage and logistics field.

The present disclosure relates to methods and systems for managing agrochemical application.

The utility model discloses a hazardous chemical substance management cabinet, and particularly relates to the technical field of management cabinets, which mainly comprises a cabinet body, a printing operation screen is fixedly mounted in front of the cabinet body, an ultrahigh frequency rfid card reader is fixedly connected below the printing operation screen, a high frequency rfid card reader is fixedly connected to one side of the ultrahigh frequency rfid card reader, a pull handle is slidably connected to the bottom end of the cabinet body, and the pull handle is fixedly connected to the bottom end of the cabinet body. Wherein a waste liquid sealing and collecting mechanism is mounted on one side of the pull handle. According to the utility model, the waste liquid sealing and collecting mechanism is adopted, the ultrahigh frequency rfid card reader and the high frequency rfid card reader can be used for realizing label reading on hazardous chemical substance management, each piece of stored or taken-out data can be printed, and the data flow downwards to the liquid inlet through the gap between the waste liquid collecting tank and the flow guide partition plate; the sealing gasket can seal the upper surface of the liquid inlet, and the waste liquid collecting tank is safely taken out and placed in a waste liquid treatment room for safe treatment.

The invention provides a novel method for rapidly screening and accurately analyzing the quaternary ammonium salt surfactant. In order to solve the problems of weak selectivity or long time consumption and high cost of a detection method in the prior art, a sodium tetraphenylborate-bromcresol purple-phosphate buffer salt mixed solution is adopted as a probe solution, quaternary ammonium salt surfactants in a sample are rapidly identified through probe reaction, a positive sample is subjected to high-speed centrifugation, dissolution and precipitation, and the content of the quaternary ammonium salt surfactants in the sample is detected. Further liquid chromatography-mass spectrometry analysis is carried out, so that accurate qualitative and quantitative analysis on the quaternary ammonium salt surfactant is realized. The method can effectively meet the requirements of rapid screening and accurate analysis, has important practical value and wide application prospect, and can remarkably improve the working efficiency and reduce the analysis cost especially in the fields of environmental protection, daily chemical management and the like.

The invention relates to the technical field of hazardous chemical substance production scene safety monitoring, and provides a hazardous chemical substance production scene safety risk prediction method and system based on artificial intelligence, and the method comprises the steps: obtaining the equipment type and equipment state of each hazardous chemical substance production equipment in a target hazardous chemical substance production scene from a hazardous chemical substance management system; predicting a walking path of the target person based on the target person and channel point cloud data collected by the laser radar; identifying a protective equipment wearing condition of a target person based on the camera and a target detection algorithm; positioning the hazardous chemical substance production equipment which is in the working state and is of the first equipment type; and predicting the behavior safety risk level of the target personnel based on the walking path of the target personnel, the wearing condition of the protective equipment, the position of the hazardous chemical substance production equipment which is in the working state and is of the first equipment type, and a preset cooperation coefficient. According to the method, refined prediction of the risk faced by the personnel behavior is realized, and the risk assessment prediction of the personnel behavior is more accurate.

The invention provides a high-risk chemical real-time simulation monitoring method based on a virtual reality technology. According to the method, data interaction is carried out among a warehouse environment database, a virtual warehouse monitoring module, a simulation early warning unit and a simulation chemical management module; the warehouse environment database carries out data interaction with the virtual warehouse monitoring module, the simulation early warning unit and the simulation chemical management module through wireless transmission, the warehouse environment database obtains data through interaction with the above modules, and after the collected data is sorted, the collected data is concentrated to the simulation early warning unit; the virtual warehouse monitoring module is used for constructing a warehouse storage model, setting environment data acquisition points in the model, performing fixed-time and fixed-point data acquisition on the acquisition points preset in a warehouse through a real-time environment data acquisition unit, sending the acquired data to a management unit, recording the acquired data through the management unit, and storing the recorded data in the warehouse; and carrying out parameter correction on the model in the warehouse storage model according to the recorded data.

The invention discloses an intelligent chemical management system for a nuclear power plant. The intelligent chemical management system comprises a PC terminal, a storage control cabinet, an on-site intelligent cabinet and a scrap control cabinet. The storage control cabinet comprises a storage controller, a first user identity recognition module, a printing module and an inventory management module; the field intelligent cabinet comprises a field controller, a second user identity recognition module, an access control module and a first scanning module; the scrap control cabinet comprises a scrap controller, a third user identity recognition module and a second scanning module. The PC terminal integrates real-time operation records, uploaded by the storage control cabinet, of chemicals in the whole inventory management, real-time operation records, uploaded by the on-site intelligent cabinet, of the whole process from warehousing to returning in the chemical on-site using process, and real-time operation records, uploaded by the scrapping control cabinet, of the whole chemical scrapping process. And a chemical full-life-cycle data chain is constructed, and full-process dynamic monitoring from warehousing, ex-warehousing, use to scrapping of the chemicals is realized, so that accident tracing and responsibility determination are facilitated.

The invention relates to the technical field of dangerous chemical management, and provides an autonomous emergency disposal robot and system for dangerous chemical leakage. The system collects place data in real time and generates an early warning sequence through a distributed multi-mode sensing subsystem; dynamically generating a harmful gas diffusion equipotential surface prediction model and formulating a system-level intervention strategy by combining the digital twinning and emergency decision center with a physicochemical knowledge graph, a three-dimensional BIM model and a fluid mechanics diffusion deduction engine; the building facility joint control subsystem adjusts ventilation parameters according to the parameters to construct an aerodynamic negative pressure barrier; the autonomous emergency disposal robot serves as an execution tail end, and targeted intervention is implemented by means of modular release load. According to the invention, through linkage of system-level dynamic deduction and the building environment, the core problems of lack of dynamic prediction capability, high manual disposal risk and response lag in the prior art are effectively solved, unmanned accurate suppression of dangerous chemical leakage is realized, and the safety and engineering reliability of the disposal process are significantly improved.

The invention relates to the technical field of dangerous chemical management, and provides a dangerous chemical weighing and distributing mechanical arm based on a declaration instruction, and the mechanical arm comprises a mechanical arm body, a multi-mode sensing assembly, a high-precision weighing base, a data interaction module and a core main control unit. The main control unit analyzes the declaration instruction and calls a physical property database to extract target physical and chemical parameters; and when the weighing operation is executed, based on depth vision and torque feedback data, the action posture of the end effector is dynamically adjusted by using a self-adaptive algorithm, and nonlinear speed reduction approximation and drip-proof locking are executed when a target quantity is approached. The system also integrates the functions of dynamic centroid compensation, space-time safe path planning, environment monitoring and digital twinborn rehearsal. According to the invention, the problems of splashing, dripping and carrying risks of hazardous chemical substances in different physical states in the weighing process are effectively solved, and accurate weighing and safe distribution traceability of the whole process are realized.

The application relates to the technical field of chemical environmental protection management, and discloses a kind of chemical treatment analysis and environmental protection data's collaborative management system and method.The system includes pollution source monitoring module, obtains historical environmental protection monitoring record set; Fluctuation analysis module extracts dynamic fluctuation characteristics and generates various fluctuation factors; Monitoring point optimization module determines key monitoring point position and sampling frequency based on fluctuation factor; Control strategy generation module combines key monitoring point information and knowledge base to output real-time control instruction and long-term treatment scheme; Dynamic execution module drives sensor monitoring and issues instructions to generate reduction effect feedback data; Collaborative optimization module integrates feedback data and long-term scheme to update knowledge base strategy weight and generate optimization instructions.The system realizes the collaborative management of environmental protection data and the dynamic optimization of treatment strategy, improving the collaboration and effectiveness of chemical environmental protection management.

The utility model discloses a portable solid-phase micro-extraction electrospray ionization mass spectrometry device for field environment analysis. The portable solid-phase micro-extraction electrospray ionization mass spectrometry device comprises a solid-phase micro-extraction probe, a nano-spray needle capillary tube, a nano-spray needle base and a miniature mass spectrometer, through the structure, the portable solid-phase microextraction electrospray ionization mass spectrometry device can adapt to field detection work of toxic and harmful pollutants in various environments, and the solid-phase microextraction probe and the nano spray needle capillary are combined, so that rapid enrichment of trace pollutants in the field environment can be remarkably improved; and a miniature mass spectrometer is used for detecting and analyzing the pollutants on site, so that the detection sensitivity, the detection efficiency and the accuracy of the target compound are improved, and the device has very high application and popularization values in key fields such as environment emergency analysis, hazardous chemical substance management, food safety supervision and the like.

A cloud-edge collaborative dangerous chemical management method, system, device and medium are provided, and relate to the field of dangerous chemical management. In the method, a chemical compatibility risk value, an environmental out-of-control risk value, an equipment failure risk value and an operation risk value are weighted and summed to obtain a comprehensive risk value; when the comprehensive risk value is less than a preset first threshold value, a local demand prediction value is predicted, a local safety stock is calculated according to a service level and a demand fluctuation rate, a local gap value is determined according to a current inventory quantity of a first target region, the local demand prediction value and the local safety stock, and the local gap value is uploaded to the cloud; and a cross-warehouse allocation suggestion and a purchase suggestion of a target chemical are generated in the cloud according to a plurality of local gap values. By implementing the technical solution provided in the application, risk assessment and inventory analysis are performed by comprehensively considering various data, and effective management of dangerous chemicals is realized through cloud-edge collaboration.