Intelligent anti-explosion chemical reagent management system

Abstract

The invention discloses an intelligent anti-explosion chemical reagent management system, which comprises an anti-explosion cabinet body, a cylindrical turntable structure, reagent bottles, an RFID reader-writer, a sensor array, a ventilation system and a control unit, and is characterized in that the control unit creates and maintains a dynamic digital gene identity card for each reagent bottle; the identity card comprises a static attribute, a dynamic risk attribute and real-time state data of a reagent, and based on the identity card, the control unit distributes a reagent position through a dynamic safety distance model to avoid a compatibility risk; in combination with real-time data of a sensor array, a ventilation system is adaptively adjusted through a multi-factor ventilation decision model so as to prevent volatile gas from being accumulated, and meanwhile, potential risks of the system are evaluated in real time through a risk prediction model. The safety and intelligent level of dangerous chemical reagent storage are remarkably improved, and the system is suitable for dangerous chemical reagent storage management of chemical engineering, medical treatment and scientific research institutions.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of chemical reagent safety management, and particularly relates to an intelligent anti-explosion chemical reagent management system. BACKGROUND

[0002] The storage and management of chemical reagents, especially volatile and explosive reagents, is a key link for the safe operation of chemical plants, laboratories, medical institutions and scientific research institutions. Traditional explosion-proof cabinets mainly focus on physical protection and static storage, and lack of collaborative management of reagent dynamic risk, environmental interaction and intelligent control. With the promotion of some policies, the industry has put forward higher requirements for the digital management and control of dangerous chemicals in the whole process, and it is urgent to realize the upgrade of reagent storage from passive protection to active risk warning through Internet of Things, artificial intelligence and other technologies.

[0003] The existing chemical reagent management devices mainly focus on basic information recording or single environmental monitoring. For example, the utility model patent CN217906898U (an intelligent easy-poisoning and easy-explosive chemical reagent storage device) realizes reagent access control and recording through an RFID radio frequency module, a face recognition device and an electronic lock, but its function is limited to identity verification and physical security, and it does not involve the chemical compatibility risk between reagents and dynamic environmental control. Some other patents integrate temperature and humidity sensors, weight monitoring units and cloud platform data docking, and can realize the collection of reagent inventory and environmental parameters, but their environmental regulation methods are still fixed threshold responses, and they cannot adapt to self-adaptive ventilation and position optimization according to the reagent volatility risk factors or real-time dynamic load. In addition, the existing systems generally store reagent information, environmental monitoring and ventilation control as independent modules, lack of multi-parameter collaborative decision mechanism based on reagent chemical properties, and are difficult to fundamentally prevent cross-reaction and gas accumulation risks caused by improper reagent location or extensive environmental control.

[0004] The above existing technologies mainly have the following deficiencies: first, the reagent information management is static, only the basic attributes are recorded, and a digital model including dynamic parameters such as volatility risk factors and compatibility contraindication matrix is not constructed; second, the environmental control is disconnected from the reagent characteristics, the ventilation system only responds to the instantaneous data of the sensor, and lacks active control ability based on reagent chemical risk prediction; third, the storage location allocation depends on manual experience or simple rules, and cannot avoid the compatibility risk caused by mixed storage of reagents in real time. The core problem to be solved by the present application is: how to create a deeply integrated "dynamic digital gene identity card" for each reagent bottle, and use it as the core driving force to realize real-time, accurate and adaptive regulation of the microenvironment of the storage space, so as to fundamentally prevent potential compatibility risks and volatile gas accumulation risks caused by improper physical location of chemicals and extensive environmental control, and complete the leap from "static storage" to "dynamic risk control".

[0005] In summary, the existing chemical reagent management system has obvious limitations in risk prediction foresight, environmental regulation accuracy and multi-module collaboration. SUMMARY

[0006] The purpose of the present application is to make up for the shortcomings of the prior art, and to provide an intelligent explosion-proof chemical reagent management system, which builds a dynamic digital gene identity card system, integrates reagent chemical properties, real-time state and environmental parameters, designs intelligent location allocation and adaptive ventilation strategy based on risk prediction, and significantly improves the safety and intelligent level of hazardous reagent storage.

[0007] To solve the above technical problems, the present application provides the following technical solutions: An intelligent explosion-proof chemical reagent management system, comprising an explosion-proof cabinet body, a cylindrical turntable structure arranged in the explosion-proof cabinet body, a plurality of reagent bottles, an RFID reader / writer, a sensor array, a ventilation system and a control unit. The cylindrical turntable structure is used to carry the reagent bottles, the RFID reader / writer is used to read the RFID tags attached to the reagent bottles, the sensor array includes gas sensors, temperature sensors and weighing sensors, the ventilation system includes a stepless speed regulation fan, and the control unit is connected to the RFID reader / writer, the sensor array and the ventilation system. The control unit is configured to create and maintain a dynamic digital gene identity card for each reagent bottle, which includes static attributes of the reagent, dynamic risk attributes and real-time state data, to prevent compatibility risks by performing reagent location allocation based on the dynamic digital gene identity card, and to prevent volatile gas accumulation risks by adaptively adjusting the ventilation system based on the dynamic digital gene identity card and real-time data of the sensor array. The dynamic risk attributes include volatile risk factors and compatibility contraindication matrix, and the real-time state data includes liquid volume in the reagent bottle, bottle opening time and position coordinates in the cabinet. The control unit predicts the total volatile load by aggregating the dynamic digital gene identity cards and sensor data of all reagent bottles, and adjusts the exhaust rate of the ventilation system and the position of the turntable structure accordingly.

[0008] As a preferred scheme of the embodiment of the present application, the creation and maintenance of the dynamic digital genetic identity card comprises: the binding of the RFID tag and the unique identifier of the reagent bottle, the reading of the unique identifier by the control unit through the RFID reader and writer, the calling or creation of the corresponding data file, the static inherent attribute, the dynamic risk attribute and the real-time state data, the static inherent attribute comprising the chemical name, the molecular formula, the CAS number, the hazard level and the recommended storage condition, the volatility risk factor in the dynamic risk attribute being dynamically calculated based on the saturated vapor pressure, the molecular weight and the environmental temperature of the chemical, the compatibility contraindication matrix being a pre-set rule library, defining the interaction relationship of the chemical with other chemicals, the liquid volume in the real-time state data being estimated by the initial storage weighing combined with the use record, the position coordinates being determined by the control unit according to the rotation angle of the carousel structure and the grid number, and the control unit updating the dynamic digital genetic identity card in real time, recalculating the volatility risk factor and the compatibility contraindication matrix and adjusting the real-time state data when the reagent bottle is taken or placed or the environmental parameter changes.

[0009] As a preferred scheme of the embodiment of the present application, the reagent position allocation comprises the control unit executing a dynamic safety distance model, the dynamic safety distance model being used for calculating the minimum safety distance between the reagent bottles to ensure no compatibility risk, the model being defined by the following formula: wherein, Dmin represents the minimum safety distance, in meters, VR represents the volatility risk factor, being a dimensionless parameter, calculated based on the saturated vapor pressure and the molecular weight of the reagent, CR represents the compatibility risk factor, being a dimensionless parameter, assigned based on the interaction severity defined in the compatibility contraindication matrix, ER represents the environmental regulation factor, being a dimensionless parameter, calculated based on the temperature and humidity data measured by the sensor array, , and are weight coefficients, pre-set by experiments; The control unit compares the dynamic digital genetic identity card of the new reagent with the dynamic digital genetic identity cards of all existing reagents in the cabinet when the reagent is stored, calculates the required minimum safety distance using the formula, and allocates the empty position on the carousel structure that meets the distance for the new reagent, and if there is no empty position, the storage is rejected and a prompt information is generated.

[0010] As a preferred scheme of the embodiment of the present application, the self-adaptive regulation ventilation system comprises the control unit executing a multi-factor ventilation decision model, the multi-factor ventilation decision model being used for calculating the exhaust rate of the ventilation system, the model being defined by the following formula: wherein, represents the exhaust rate, in cubic meters per hour, represents the total volatile load, a dimensionless parameter calculated based on the volatile risk factor of all reagent bottles and the real-time liquid volume, represents the real-time reading of the th gas sensor, in ppm, represents the number of gas sensors, represents the temperature deviation, a dimensionless parameter calculated based on the difference between the temperature measured by the sensor array and the recommended storage temperature , and are adjustment coefficients dynamically optimized by system operation data; The control unit adjusts the speed and operation mode of the stepless speed fan according to the output of the formula, and when a local gas concentration rise is detected, the control unit combines dynamic digital genetic identity tracing and micro-rotation of the turntable structure to optimize airflow distribution.

[0011] As a preferred embodiment of the present application, the sensor array includes a plurality of distributedly arranged gas sensors, temperature sensors, and weighing sensors, specifically: The gas sensors are volatile organic compound sensors for detecting volatile gas concentration in the cabinet, the temperature sensors are used to monitor the environmental temperature in the cabinet, and the weighing sensors are integrated into each storage compartment of the turntable structure for real-time monitoring of the weight change of the reagent bottles; The data of the sensor array is transmitted to the control unit by wired or wireless means, the control unit performs filtering and fusion processing on the sensor data to eliminate noise and improve measurement accuracy, the arrangement of the sensor array ensures coverage of all areas in the cabinet, including the inside and outside of the turntable structure, and the control unit calibrates the sensors regularly and verifies the data based on the recommended storage conditions in the dynamic digital genetic identity card.

[0012] As a preferred embodiment of the present application, the control unit includes an embedded industrial controller and a background management software, the embedded industrial controller is responsible for hardware driving and real-time control, and is connected to the RFID reader, the sensor array, the ventilation system, and the driving motor of the turntable structure, the background management software runs on the embedded industrial controller or an external server, and includes a digital genetic archive module, a dynamic safety distance calculation engine module, a multi-factor ventilation decision model module, and a user interface module, the digital genetic archive module stores and manages the dynamic digital genetic identity cards of all reagents, the dynamic safety distance calculation engine module executes the dynamic safety distance model, the multi-factor ventilation decision model module executes the multi-factor ventilation decision model, and the user interface module provides an operation interface for manual intervention and status display, the control unit realizes data aggregation, algorithm running, and instruction issuing through the above-mentioned modules.

[0013] As a preferred embodiment of the present invention, the cylindrical turntable structure includes a stepper motor-driven rotating mechanism, multiple storage compartments, and a positioning device. The rotating mechanism causes the cylindrical turntable structure to rotate in both directions to access reagent bottles. The storage compartments are evenly distributed around the circumference, and each compartment is equipped with a weighing sensor. The positioning device is used to precisely control the rotation angle of the cylindrical turntable structure to ensure the accuracy of the reagent bottle's position coordinates. The control unit controls the stepper motor to rotate the cylindrical turntable structure according to the reagent position allocation result, moving the target reagent bottle to the access position. The rotation of the cylindrical turntable structure is coordinated with the ventilation system. When the ventilation system is adjusted, the turntable structure rotates slightly to optimize the airflow path. The material of the cylindrical turntable structure is explosion-proof and compatible, ensuring safety in hazardous environments.

[0014] In a preferred embodiment of the present invention, the control unit is configured to execute a risk prediction model, which predicts potential risks based on dynamic digital genetic identity cards and sensor data. The risk prediction model is defined by the following formula: in, This represents a risk prediction index, which is a dimensionless parameter. Indicates the first Volatile risk factors of each reagent bottle Indicates the first Real-time liquid volume of each reagent bottle This indicates the total number of reagent bottles in the cabinet. This represents the distance violation value, a dimensionless parameter calculated based on the difference between the actual distance between reagent bottles and the minimum safe distance. The rate of temperature change is calculated based on the time derivative of sensor data. , and These are the model parameters, obtained through training with historical data; The control unit uses this formula to continuously assess system risk, when When the threshold is exceeded, an early warning is triggered and the location allocation or ventilation system is adjusted.

[0015] Compared with the prior art, the present invention has the following beneficial effects: (1) This invention creates and maintains a dynamic digital genetic ID card for each reagent bottle, which integrates static attributes, dynamic risk attributes and real-time status data. Using this ID card as the core driving force, the reagent location allocation is performed in combination with a dynamic safety distance model. At the same time, the ventilation system is adaptively adjusted based on a multi-factor ventilation decision model. This enables the reagent storage to transition from static management to dynamic risk control, thereby accurately avoiding compatibility risks and volatile gas accumulation risks caused by improper reagent location.

[0016] (2) The application comprehensively collects the data of the environment in the cabinet and the state of the reagent through the distributed sensor array, and realizes the real-time evaluation of the potential risk of the system by combining the risk prediction model after the data filtering and fusion processing by the control unit, and simultaneously realizes the collaborative regulation of the cylindrical rotating disc structure and the ventilation system, which can improve the regulation accuracy of the reagent storage environment and the foresight of the risk warning, so as to timely find and resolve potential safety hazards such as temperature abnormality and position violation.

[0017] Other advantages, objects, and features of the application will be set forth in part in the following specification taken in conjunction with the accompanying drawings, and in part will become apparent to those skilled in the art from a consideration of the following specification and drawings, or can be learned from practice of the application. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiment or prior art description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without creative labor.

[0019] Figure 1 The system hardware architecture and data flow diagram of the present application; Figure 2 The dynamic digital gene identity card life cycle diagram of the present application; Figure 3 The operation flowchart of the present application. DETAILED DESCRIPTION

[0020] In order to further illustrate the technical means and effects adopted by the present application to achieve the predetermined application purpose, the specific embodiments, structures, features and effects according to the present application will be described in detail below in combination with the drawings and preferred embodiments.

[0021] Example One : As Figure 1 And Figure 2As shown, the embodiment of the present application provides a specific implementation mode of an intelligent anti-explosion chemical reagent management system, which comprises an anti-explosion cabinet body, a cylindrical rotating disc structure, a reagent bottle, an RFID reader / writer, a sensor array, a ventilation system and a control unit. The control unit creates and maintains a dynamic digital gene identity card for each reagent bottle, executes reagent position allocation based on the identity card to avoid compatibility risk, adjusts the ventilation system in real time based on the real-time data of the sensor array to prevent volatile gas accumulation risk, and evaluates the system risk in real time through a risk prediction model, thereby comprehensively realizing intelligent and safe control of hazardous chemical reagent storage, and effectively solving the problems of static reagent information management, disconnection between environmental control and reagent characteristics, and experience-dependent storage position allocation in the prior art.

[0022] The implementation of the system hardware composition and deployment is as follows: Anti-explosion cabinet body: made of metal material meeting the national anti-explosion standard, the overall structure of the cabinet body has fireproof and anti-static properties, the inside of the cabinet body is reserved with installation interfaces for the cylindrical rotating disc structure, the sensor array and the ventilation system, and an operation panel connected with the control unit is arranged on the outside of the cabinet body for displaying system running status and receiving manual intervention instructions.

[0023] Cylindrical rotating disc structure: installed at the central position inside the anti-explosion cabinet body, comprising a rotating mechanism driven by a stepping motor, a plurality of storage compartments and a positioning device. The rotating mechanism is connected with the control unit and can rotate forward and backward under the instruction of the control unit, and the rotating angle accuracy is guaranteed by the positioning device; the storage compartments are uniformly distributed in the circumferential direction, and a weighing sensor is integrated at the bottom of each storage compartment for real-time acquisition of the weight data of the corresponding reagent bottle; the positioning device adopts an optical positioning component, which can feed back the current rotating angle of the rotating disc to the control unit in real time, so that the control unit can accurately determine the position coordinates of each storage compartment.

[0024] RFID reader / writer: installed inside the anti-explosion cabinet body near the rotating disc access port, its reading range covers the access area of all storage compartments of the rotating disc, and it can automatically read the RFID tag information attached to the reagent bottle during the reagent bottle access process, and transmit the read unique identifier to the control unit.

[0025] Sensor array: arranged in a distributed manner, covering all areas inside the anti-explosion cabinet body, including the inside and outside of the rotating disc structure. Among them, the gas sensor selects a volatile organic compound sensor, the number of which is determined according to the volume of the cabinet body, for detecting the concentration of volatile gas in different areas of the cabinet; the temperature sensors are uniformly arranged on the side walls of the cabinet and the periphery of the rotating disc for real-time monitoring of the environmental temperature in the cabinet; the weighing sensors are integrated at the bottom of each storage compartment to assist in determining whether the reagent bottle is in a normal placement state in addition to acquiring the weight data of the reagent bottle. All sensors are connected with the control unit through a wired manner to ensure the stability of data transmission.

[0026] Ventilation system: including stepless speed regulation fan and corresponding air duct structure, stepless speed regulation fan is installed at the exhaust outlet of the explosion-proof cabinet top, air duct structure covers each area inside the cabinet, ensures that the airflow in the cabinet can be evenly circulated. Stepless speed regulation fan is connected with control unit, can adjust the speed according to the exhaust rate instruction output by control unit.

[0027] Control unit: including embedded industrial controller and background management software. Embedded industrial controller is installed in the control box outside the explosion-proof cabinet, respectively connected with RFID reader, sensor array, ventilation system and stepping motor of cylindrical turntable structure, responsible for hardware driving and real-time control instruction issuing; Background management software runs in embedded industrial controller, contains digital gene archive module, dynamic safety distance calculation engine module, multi-factor ventilation decision model module and user interface module, each module works together to realize data aggregation, algorithm running and instruction generation.

[0028] The implementation of the creation and maintenance of the dynamic digital gene identity card is as follows: RFID tag binding and information reading: before the reagent bottle enters the warehouse, the RFID tag is bound with the unique identifier of the reagent bottle, which corresponds one by one with the basic information of the reagent. When the reagent bottle enters the access port of the explosion-proof cabinet, the RFID reader automatically reads the unique identifier in the RFID tag, and transmits the identifier to the control unit.

[0029] Data archive retrieval and creation: after the control unit receives the unique identifier, it queries the existing data archive corresponding to the identifier through the digital gene archive module. If there is an existing data archive, the archive is directly retrieved and the update process is entered; If there is no existing data archive, a new data archive is created, which contains three types of information: static inherent attribute, dynamic risk attribute and real-time state data.

[0030] Entry of static inherent attribute: static inherent attribute includes chemical name, molecular formula, CAS number, hazard level and recommended storage condition, these information are automatically matched and entered by control unit through preset database, among which recommended storage condition includes recommended storage temperature, recommended storage humidity and other basic parameters related to reagent storage safety.

[0031] Calculation and update of dynamic risk attribute: Volatility risk factor calculation: volatility risk factor The dimensionless parameter is dynamically calculated based on the saturated vapor pressure of the chemical, the molecular weight and the real-time ambient temperature measured by the sensor array. During the calculation process, the control unit substitutes the real-time data of the saturated vapor pressure, the molecular weight and the ambient temperature into the calculation according to the preset correlation model to obtain the volatility risk factor of the reagent under the current state. The greater the factor value, the stronger the volatility of the reagent.

[0032] Compatibility contraindication matrix configuration: The compatibility contraindication matrix is a rule base pre-stored in the control unit, which defines the interaction relationship of the chemical with other types of chemicals. The rule base pre-stores the compatibility risk levels of different chemical combinations. When a new reagent file is created, the control unit automatically retrieves the compatibility contraindication matrix corresponding to the reagent from the rule base to clearly define the compatibility risk of the reagent with other reagents already stored or possibly stored in the cabinet in the future.

[0033] Real-time state data acquisition and update: Liquid volume estimation: When the reagent bottle is initially stored, the weighing sensor at the bottom of the storage compartment obtains the initial weight of the reagent bottle, and the control unit calculates the initial liquid volume in combination with the density of the reagent. During subsequent use, after each use of the reagent, the weighing sensor obtains the real-time weight of the reagent bottle, and the control unit estimates the liquid volume in the current reagent bottle in combination with the initial weight and the use records, and updates it to the real-time state data.

[0034] Bottle opening time recording: When the control unit detects through the RFID reader that the reagent bottle is taken out of the cabinet and then put back in, it automatically records the put-in time as the bottle opening time and updates it to the real-time state data, which is used for subsequent evaluation of the volatility risk change of the reagent due to bottle opening.

[0035] Position coordinate determination: The control unit calculates the position coordinates of the reagent bottle in the cabinet according to the rotation angle of the turntable fed back by the positioning device and the compartment number of the reagent bottle. When the turntable is rotated to adjust the position of the reagent, the control unit updates the position coordinates in real time and synchronizes them to the real-time state data.

[0036] Dynamic update mechanism: When the reagent bottle is taken out and put back, the environmental parameters change or reach the preset update period, the control unit automatically recalculates the volatility risk factor, checks and updates the compatibility contraindication matrix, and updates the real-time state data such as liquid volume, bottle opening time and position coordinates, to ensure the timeliness and accuracy of the dynamic digital genetic identity card.

[0037] The reagent position allocation based on the dynamic safety distance model is implemented as follows: Pre-storage data comparison: when a new reagent is ready to be stored, the control unit first obtains the dynamic digital genetic identity card of the reagent, and then calls all the stored reagents in the cabinet to obtain their dynamic digital genetic identity cards. The dynamic digital genetic identity card of the new reagent is compared with the dynamic digital genetic identity cards of the stored reagents one by one to determine the compatibility risk association information between the new reagent and each stored reagent.

[0038] Dynamic safety distance model calculation: the control unit executes a dynamic safety distance model through a dynamic safety distance calculation engine module to calculate the minimum safety distance between the new reagent and each stored reagent, and the model formula is as follows: In the formula, represents the minimum safety distance between the new reagent and the corresponding stored reagent, and the unit is meter. The distance is the minimum space interval to ensure that there is no compatibility risk between the two, represents the volatility risk factor of the new reagent, which is a dimensionless parameter. The value is obtained from the dynamic risk attribute calculation process described above, and reflects the strength of the volatility of the new reagent, The greater the value, the greater the safety distance required to avoid the interaction of volatile gases, represents the compatibility risk factor of the new reagent and the corresponding stored reagent, which is a dimensionless parameter. The value is assigned based on the severity of the interaction between the two defined in the compatibility taboo matrix. If there is a strong interaction between the two, The greater the value, if there is no interaction between the two, The value is 0, represents the environmental adjustment factor, which is a dimensionless parameter. The value is calculated based on the real-time temperature and humidity data measured by the sensor array in the cabinet. When the temperature is higher than the recommended storage temperature or the humidity deviates from the recommended storage humidity range, The value increases, which is used to correct the influence of environmental factors on the safety distance, 、 and are weight coefficients, which are pre-calibrated through experiments. They are used to adjust the influence of the volatility risk factor, the compatibility risk factor and the environmental adjustment factor on the minimum safety distance, respectively. In the calibration process, the storage safety experimental data of different types of reagents are combined to ensure that the minimum safety distance calculated meets the actual safety requirements.

[0039] Empty Space Screening and Allocation: Based on the calculated minimum safe distance between the new reagent and each existing reagent, the control unit screens unoccupied storage compartments in the cylindrical turntable structure to find empty spaces that meet all minimum safe distance requirements. During the screening process, the control unit combines the position coordinates of each empty space to determine whether the actual distance between the empty space and all existing reagents is greater than the corresponding minimum safe distance. If a suitable empty space exists, it is allocated to the new reagent, and the turntable is rotated by a stepper motor to move the empty space to the access port for reagent storage. If no suitable empty space exists, the control unit generates a rejection message, which is displayed through the user interface module, reminding the operator to handle the existing reagents in the cabinet or change their storage location.

[0040] The adaptive ventilation regulation based on the multi-factor ventilation decision model is implemented as follows: Data Acquisition and Preprocessing: The control unit receives various data transmitted from the sensor array in real time, including real-time readings from each gas sensor and real-time temperature data from the temperature sensor. Simultaneously, it retrieves the dynamic digital genetic identification cards of all reagent bottles from the digital genetic archive module, obtaining the volatility risk factors and real-time liquid volume data for each reagent. The control unit filters the acquired sensor data to eliminate noise and ensure data accuracy.

[0041] Total volatile load calculation: Total volatile load These are dimensionless parameters; the control unit is based on the volatility risk factors of each reagent. and real-time liquid volume The total volatile load is obtained by summing the results. ( This parameter represents the total number of reagent bottles in the cabinet and reflects the overall volatility level of all reagents in the cabinet. The higher the value, the more volatile gases may be generated inside the cabinet.

[0042] Multi-factor ventilation decision model calculation: The control unit performs model calculations through the multi-factor ventilation decision model module to determine the target exhaust rate of the ventilation system. The model formula is as follows: In the formula, This indicates the target exhaust velocity of the ventilation system, expressed in cubic meters per hour, and is used to guide the adjustment of the speed of continuously variable fans. This represents the total volatile load, a dimensionless parameter, and its calculation method is as described above. A higher value indicates that a higher exhaust rate is required to remove any volatile gases that may be generated. Indicates the first Real-time reading of a gas sensor, in ppm, reflecting the volatile gas concentration at the location of the sensor, Indicates the number of gas sensors, Indicates the sum of all gas sensor real-time readings, used to comprehensively evaluate the overall concentration level of volatile gases in the cabinet, Indicates the temperature deviation, a dimensionless parameter, calculated based on the difference between the real-time temperature measured by the sensor array and the recommended storage temperature preset in the dynamic digital genetic identity card. If the real-time temperature is higher than the recommended storage temperature, The value is positive, and the larger the difference, The larger the value, if the real-time temperature is lower than the recommended storage temperature, The value is negative, and this parameter is used to correct the influence of temperature anomalies on ventilation demand, 、 and are adjustment coefficients, dynamically optimized through system operation data. During the optimization process, the control unit analyzes the adjustment effect of exhaust rate on gas concentration and temperature in the cabinet under different 、 and values, and gradually adjusts the coefficients to the optimal value to ensure that the ventilation system can effectively exhaust volatile gases while avoiding unnecessary energy consumption.

[0043] Ventilation system regulation and collaborative control: the control unit issues a speed adjustment instruction to the stepless speed regulation fan of the ventilation system according to the target exhaust rate calculated by the model , and the fan adjusts the speed according to the instruction to make the actual exhaust rate reach the target exhaust rate. During the adjustment process, if the control unit detects an abnormal increase in local area gas concentration through the gas sensor, it traces the reagent bottle near the area in combination with the dynamic digital genetic identity card, judges whether the local gas accumulation is caused by the increase in reagent volatility, and at the same time adjusts the position of the reagent bottle by rotating the stepping motor of the cylindrical turntable structure to optimize the airflow distribution in the cabinet and promote the diffusion of local high-concentration gas, and cooperates with the ventilation system to quickly reduce the gas concentration.

[0044] The implementation of real-time risk assessment and early warning based on the risk prediction model is as follows: Risk-related data collection: the control unit collects real-time data required for risk prediction, including the volatility risk factor of each reagent bottle, the real-time liquid volume , the difference between the actual distance and the minimum safe distance between each reagent bottle, the temperature data measured by the sensor array and the historical temperature data.

[0045] Risk prediction model calculation: the control unit periodically executes the risk prediction model to evaluate the current potential risk of the system, and the model formula is as follows: wherein, represents the risk prediction index, which is a dimensionless parameter, for quantifying the potential risk level of the system at present, The greater the value is, the higher the risk the system faces, represents the volatility risk factor of the th reagent bottle, represents the real-time liquid volume of the th reagent bottle, represents the total number of reagent bottles in the cabinet, reflects the risk base level of all reagents in the cabinet due to volatilization, represents the distance violation value, which is a dimensionless parameter, calculated based on the difference between the actual distance of each reagent bottle from other reagent bottles and the minimum safe distance, if the actual distance is less than the minimum safe distance, the value is positive, if the actual distance is greater than or equal to the minimum safe distance, the value is 0, represents the maximum value among all distance violation values, reflecting the most serious risk of position violation at present, represents the temperature change rate, calculated based on the time derivative of sensor data, with the unit of degree Celsius per hour, for reflecting the trend of temperature change in the cabinet, if the temperature rises rapidly, the value is positive and large, indicating that the risk increases due to abnormal temperature change, , and are model parameters, trained through historical data, in the training process, the system's past risk event data and normal operation data are used to establish the correlation between the model and the actual risk, to ensure that the model can accurately predict potential risks.

[0046] Risk warning and countermeasures: the control unit compares the risk prediction index calculated with the preset risk threshold. If is less than the risk threshold, it indicates that the system is currently at low risk, maintaining normal operation; if is greater than or equal to the risk threshold, it indicates that the system has a high potential risk, the control unit triggers the warning mechanism, displays the warning information through the user interface module, and takes countermeasures according to the risk causes: if the risk is mainly due to distance violation, re-execute the reagent position allocation process to adjust the positions of related reagents; if the risk is mainly due to the accumulation of volatile gases, increase the exhaust rate of the ventilation system; if the risk is mainly due to abnormal temperature change, prioritize the adjustment of the ventilation system, and check the cause of the temperature anomaly.

[0047] In summary, the embodiment details the hardware components of the intelligent explosion-proof chemical reagent management system, clarifies the functions and cooperative relationships of each component, and presents the creation and maintenance processes of dynamic digital genetic identity cards, as well as the specific implementations of reagent position allocation based on a dynamic safety distance model, adaptive ventilation adjustment based on a multi-factor ventilation decision model, and real-time risk assessment and early warning based on a risk prediction model. Through detailed definitions and explanations of each mathematical algorithm formula and parameter, the technical solution of the system can be accurately implemented. During implementation, the system realizes digital management and control of the entire life cycle of reagents through dynamic digital genetic identity cards, and realizes intelligent regulation and control of reagent positions and ventilation systems through multi-model algorithms, effectively avoiding compatibility risks and volatile gas accumulation risks, verifying the feasibility and safety of the technical solution, and meeting the needs of intelligent and safe storage of hazardous chemical reagents.

[0048] Example Two : As shown in Figure 3 , the embodiment details the specific working steps of the intelligent explosion-proof chemical reagent management system in actual operation, including reagent storage, state monitoring, ventilation adjustment, risk warning, etc. The system coordinates various hardware components through the control unit to realize automatic management throughout the process.

[0049] The specific steps are as follows: 1. System startup and initialization: The system is powered on, and the control unit starts the embedded industrial controller and the background management software.

[0050] The control unit initializes the sensor array, RFID reader / writer, ventilation system, and cylindrical turntable structure, executes a self-checking program, and ensures that each component is in a ready state.

[0051] The control unit loads the dynamic digital genetic identity cards of all stored reagents and updates real-time state data.

[0052] 2. Reagent storage process: When a new reagent bottle needs to be stored, the operator places the reagent bottle in the access area of the explosion-proof cabinet body.

[0053] The RFID reader / writer automatically reads the RFID tag on the reagent bottle, obtains the unique identifier, and transmits it to the control unit.

[0054] The control unit retrieves or creates the dynamic digital genetic identity card of the reagent based on the unique identifier, including static attributes, dynamic risk attributes, and real-time state data.

[0055] The control unit compares the dynamic digital genetic identity of the reagent with the dynamic digital genetic identities of all existing reagents in the cabinet, executes a dynamic safety distance model, and calculates the minimum safety distance between the new reagent and each existing reagent.

[0056] The control unit screens the empty space on the cylindrical carousel structure that meets all the minimum safety distance requirements: If there is a suitable empty space, the control unit controls the stepper motor to rotate the carousel, moves the empty space to the access opening position, completes the reagent bottle placement, and updates the position coordinates to the dynamic digital genetic identity.

[0057] If there is no suitable empty space, the control unit rejects the storage and generates a prompt message through the user interface to remind the operator to handle it.

[0058] 3. Real-time state monitoring and data updating: The sensor array continuously collects environmental data in the cabinet, including volatile gas concentration, temperature, and the weight of each reagent bottle.

[0059] The control unit filters and fuses the sensor data to eliminate noise and improve data accuracy.

[0060] The control unit regularly updates the dynamic digital genetic identity of each reagent: Estimates the liquid volume according to the weight change; Records the bottle opening time; Updates the position coordinates according to the carousel rotation angle; Recalculates the volatile risk factor.

[0061] 4. Adaptive ventilation adjustment: The control unit calculates the total volatile load based on the dynamic digital genetic identity of all reagents and sensor data.

[0062] The control unit executes a multi-factor ventilation decision model, considering the total volatile load, gas sensor readings, and temperature deviation to determine the target exhaust rate.

[0063] The control unit adjusts the speed of the stepless speed fan to make the actual exhaust rate reach the target value.

[0064] If a local gas concentration increase is detected, the control unit traces the related reagents based on the dynamic digital genetic identity and slightly rotates the carousel structure to optimize airflow distribution.

[0065] 5. Risk prediction and early warning processing: The control unit regularly executes a risk prediction model to comprehensively evaluate the current risk level of the system, including volatile risk, position violation risk, and temperature change risk.

[0066] The control unit compares the risk prediction index with a preset threshold value: If the threshold value is not exceeded, the system maintains normal operation; If the threshold value is exceeded, the control unit triggers a warning, displays alarm information through the user interface, and automatically executes countermeasures: Such as adjusting the position of the reagent to eliminate distance violations; Or increase the exhaust rate of the ventilation system to reduce the risk of gas accumulation; Or check the cause of the temperature anomaly and adjust the ventilation.

[0067] 6. Reagent access process: When the operator needs to access the reagent, input the instruction through the user interface or directly trigger the access operation.

[0068] The control unit controls the rotation of the turntable to move the target reagent bottle to the access port.

[0069] The RFID reader confirms the identity of the reagent bottle, and the control unit records the access time and updates the bottle opening status.

[0070] After the access is completed, the weighing sensor detects the weight change, and the control unit updates the liquid volume data.

[0071] 7. System maintenance and calibration: The control unit regularly performs sensor calibration procedures to verify data accuracy based on recommended storage conditions.

[0072] The system records operation logs, including reagent access records, ventilation adjustment records, and warning events, supporting later analysis and optimization.

[0073] The above is only the preferred embodiment of the present application, and is not intended to limit the present application in any form. Although the present application has been disclosed as above with the preferred embodiment, it is not intended to limit the present application. Any person skilled in the art can make some changes or modifications to the above disclosed technical content without departing from the scope of the present application, and any equivalent embodiments with equivalent changes and modifications are still within the scope of the present application.

Claims

1. An intelligent explosion-proof chemical reagent management system, comprising an explosion-proof cabinet, a cylindrical turntable structure disposed within the explosion-proof cabinet, multiple reagent bottles, an RFID reader / writer, a sensor array, a ventilation system, and a control unit, characterized in that... ； The cylindrical turntable structure is used to carry reagent bottles, the RFID reader is used to read the RFID tags attached to the reagent bottles, the sensor array includes a gas sensor, a temperature sensor and a weighing sensor, the ventilation system includes a continuously variable fan, and the control unit is connected to the RFID reader, the sensor array and the ventilation system. The control unit is configured to: create and maintain a dynamic digital genetic ID for each reagent bottle, which includes the static properties, dynamic risk properties and real-time status data of the reagent; perform reagent location allocation based on the dynamic digital genetic ID to prevent compatibility risks; and adaptively adjust the ventilation system based on the real-time data of the dynamic digital genetic ID and the sensor array to prevent the risk of volatile gas accumulation. Among them, dynamic risk attributes include volatile risk factors and incompatibility matrix, and real-time status data includes liquid volume in reagent bottle, opening time, and location coordinates in cabinet; The control unit predicts the total volatile load by aggregating the dynamic digital genetic IDs and sensor data of all reagent bottles, and adjusts the exhaust rate of the ventilation system and the position of the turntable structure accordingly.

2. The intelligent explosion-proof chemical reagent management system according to claim 1, characterized in that: The creation and maintenance of the dynamic digital genetic ID card includes: binding an RFID tag to a unique identifier of the reagent bottle; the control unit reading the unique identifier through an RFID reader and retrieving or creating the corresponding data file; the data file including static inherent attributes, dynamic risk attributes, and real-time status data; the static inherent attributes including chemical name, molecular formula, CAS number, hazard level, and recommended storage conditions; the volatile risk factor in the dynamic risk attributes is dynamically calculated based on the chemical's saturated vapor pressure, molecular weight, and ambient temperature; the incompatibility matrix is ​​a pre-set rule base that defines the interaction relationship between the chemical and other chemicals; the liquid volume in the real-time status data is estimated by combining the initial warehousing weighing with usage records; the position coordinates are determined by the control unit based on the rotation angle of the turntable structure and the grid number; and the control unit updates the dynamic digital genetic ID card in real time.

3. The intelligent explosion-proof chemical reagent management system according to claim 1, characterized in that: The reagent placement allocation includes a control unit executing a dynamic safety distance model. This dynamic safety distance model is used to calculate the minimum safety distance between reagent bottles to ensure no incompatibility risk. The model is defined by the following formula: in, This indicates the minimum safe distance, in meters. This represents the volatility risk factor, a dimensionless parameter calculated based on the reagent's saturated vapor pressure and molecular weight. This represents the compatibility risk factor, a dimensionless parameter assigned a value based on the severity of interactions defined in the incompatibility matrix. This represents the environmental regulation factor, a dimensionless parameter calculated based on temperature and humidity data measured by a sensor array. , and The weighting coefficients are pre-calibrated through experiments; When reagents are put into storage, the control unit compares the dynamic digital genetic ID of the new reagent with the dynamic digital genetic ID of all existing reagents in the cabinet, calculates the required minimum safe distance using the formula, and allocates an empty space on the turntable structure that meets the distance for the new reagent. If there is no empty space, the new reagent is rejected and a prompt message is generated.

4. The intelligent explosion-proof chemical reagent management system according to claim 1, characterized in that: The adaptive ventilation system includes a control unit that executes a multi-factor ventilation decision model. This multi-factor ventilation decision model is used to calculate the exhaust rate of the ventilation system, and the model is defined by the following formula: in, This indicates the exhaust rate, expressed in cubic meters per hour. This represents the total volatility load, a dimensionless parameter calculated based on the volatility risk factor and real-time liquid volume of all reagent bottles. Indicates the first Real-time readings from each gas sensor, in ppm. Indicates the number of gas sensors. This represents the temperature deviation, a dimensionless parameter calculated based on the difference between the temperature measured by the sensor array and the recommended storage temperature. , and The adjustment coefficients are dynamically optimized using system operation data. The control unit adjusts the speed and operating mode of the continuously variable fan based on the output of the formula.

5. The intelligent explosion-proof chemical reagent management system according to claim 1, characterized in that, The sensor array includes a distributed arrangement of multiple gas sensors, temperature sensors, and weighing sensors, specifically: The gas sensor is a volatile organic compound sensor used to detect the concentration of volatile gases in the cabinet; the temperature sensor is used to monitor the ambient temperature inside the cabinet; and the weighing sensor is integrated into each storage compartment of the turntable structure to monitor the weight changes of the reagent bottles in real time. The data from the sensor array is transmitted to the control unit via wired or wireless means. The control unit filters and fuses the sensor data to eliminate noise and improve measurement accuracy. The arrangement of the sensor array ensures coverage of all areas inside the cabinet, including the inside and outside of the turntable structure. The control unit periodically calibrates the sensors and verifies the data based on the recommended storage conditions in the dynamic digital genetic ID card.

6. The intelligent explosion-proof chemical reagent management system according to claim 1, characterized in that, The control unit includes an embedded industrial controller and background management software. The embedded industrial controller is responsible for hardware driving and real-time control, and connects to the RFID reader, sensor array, ventilation system, and drive motor of the turntable structure. The background management software runs on the embedded industrial controller or an external server and includes a digital gene archive module, a dynamic safety distance calculation engine module, a multi-factor ventilation decision model module, and a user interface module. The digital gene archive module stores and manages the dynamic digital gene IDs of all reagents. The dynamic safety distance calculation engine module executes the dynamic safety distance model. The multi-factor ventilation decision model module executes the multi-factor ventilation decision model. The user interface module provides an operation interface for manual intervention and status display.

7. The intelligent explosion-proof chemical reagent management system according to claim 1, characterized in that, The cylindrical turntable structure includes a stepper motor-driven rotating mechanism, multiple storage compartments, and a positioning device. The rotating mechanism causes the cylindrical turntable structure to rotate in both directions, enabling the storage and retrieval of reagent bottles. The storage compartments are evenly distributed around the circumference, and each compartment is equipped with a weighing sensor. The positioning device is used to precisely control the rotation angle of the cylindrical turntable structure to ensure the accuracy of the reagent bottle's position coordinates. The control unit controls the stepper motor to rotate the cylindrical turntable structure according to the reagent position allocation result, moving the target reagent bottle to the storage and retrieval position. The rotation of the cylindrical turntable structure is coordinated with the ventilation system.

8. The intelligent explosion-proof chemical reagent management system according to claim 1, characterized in that, The control unit is configured to execute a risk prediction model that predicts potential risks based on dynamic digital genetic identification and sensor data. The risk prediction model is defined by the following formula: in, This represents a risk prediction index, which is a dimensionless parameter. Indicates the first Volatile risk factors of each reagent bottle Indicates the first Real-time liquid volume of each reagent bottle This indicates the total number of reagent bottles in the cabinet. This represents the distance violation value, a dimensionless parameter calculated based on the difference between the actual distance between reagent bottles and the minimum safe distance. The rate of temperature change is calculated based on the time derivative of sensor data. , and These are the model parameters, obtained through training with historical data.

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