Chemical raw material and finished product inventory dynamic management system based on internet of things

Abstract

This invention discloses an IoT-based dynamic management system for chemical raw materials and finished product inventory, relating to the field of warehousing and logistics technology. Specifically, it includes: a data acquisition module, a status assessment module, a safety evolution module, a dynamic scheduling module, and a linkage compensation module; real-time acquisition of chemical raw material identifiers, storage location coordinates, and environmental parameter curves; calculation of the dynamic activity loss and deterioration degree of chemical raw materials under current environmental exposure based on the accumulated temperature effect function; preset compatibility matrix and dynamically adjust the risk impact radius of the chemical raw material on surrounding grid points according to the deterioration degree; dynamically correcting the outbound priority based on the status assessment results, and automatically allocating physical storage space in the finished product warehouse based on changes in the risk impact radius; detecting the accumulated temperature status of chemical raw materials and defining outbound priority, linking cooling air to enhance local cooling in the finished product warehouse containing the chemical raw material, and dynamically adjusting environmental parameters to delay the expansion of the risk radius.

Description

Technical Field

[0001] This invention relates to the field of warehousing and logistics technology, specifically to a dynamic management system for chemical raw materials and finished products inventory based on the Internet of Things. Background Technology

[0002] With the rapid development of the chemical industry and the continuous improvement of safety requirements, the inventory management of chemical raw materials and finished products has become a key factor restricting the efficient and safe operation of enterprises.

[0003] Traditional chemical warehouse management mainly relies on manual inspections, paper ledgers, or simple barcode / RFID positioning systems, which have the following drawbacks:

[0004] (1) It is impossible to obtain the centimeter-level position drift and environmental parameter time series of materials during the storage period in real time;

[0005] (2) Using only a fixed shelf life cannot reflect the exponential "accumulated temperature effect" of temperature fluctuations on material degradation;

[0006] (3) The chemical compatibility is only a static matrix, not spatialized or dynamic, and cannot automatically adjust the safety distance according to the degree of material deterioration;

[0007] (4) Only alarms are triggered after a risk occurs, and there is no proactive intervention to "extend life", resulting in a high scrap rate of high-value / high-risk materials and significant safety hazards.

[0008] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0009] The purpose of this invention is to provide an Internet of Things-based dynamic management system for chemical raw materials and finished product inventory to solve the problems mentioned in the background art.

[0010] To achieve the above objectives, the present invention provides the following technical solution: a dynamic management system for chemical raw materials and finished products inventory based on the Internet of Things, specifically including: a data acquisition module, a status assessment module, a safety evolution module, a dynamic scheduling module, and a linkage compensation module;

[0011] Data acquisition module: Real-time acquisition of chemical raw material identification, storage location coordinates, and environmental parameter curves;

[0012] State assessment module: Based on the accumulated temperature effect function, calculates the dynamic activity loss and deterioration degree of chemical raw materials under current environmental exposure;

[0013] Safety evolution module: It presets a compatibility matrix and dynamically adjusts the risk impact radius of the chemical raw material on surrounding grid points according to the degree of deterioration;

[0014] Dynamic scheduling module: Dynamically adjusts outbound priority based on status assessment results and automatically allocates physical storage space for finished goods based on changes in the risk impact radius;

[0015] Linkage compensation module: Detects the accumulated temperature of chemical raw materials and defines the priority of outbound delivery, links with cold air to enhance local cooling in the finished product warehouse where the chemical raw material is located, and dynamically adjusts environmental parameters to delay the expansion of the risk radius.

[0016] As a preferred embodiment of the system for determining suitable elevations for mangrove restoration in aquaculture ponds using tidal level numerical simulation as described in this invention, wherein:

[0017] In the finished product warehouse of chemical raw materials, an integrated sensor node is deployed at each standard storage location to construct a node sensor array, including a high-sensitivity temperature and humidity sensor, a VOCs detection probe, an oxygen content sensor and a pressure transmitter.

[0018] Real-time data is collected at a preset frequency of 1 time / 5 minutes using a node sensor array, and time series curves of environmental parameters are constructed.

[0019] A hybrid label with a unique identification ID is affixed to the outer wall of each chemical raw material drum or storage tank;

[0020] UWB base stations are deployed on the top and surrounding walls of the warehouse, and the three-dimensional storage location coordinates of the corresponding labels of chemical raw materials are calculated in real time using a time difference of arrival algorithm.

[0021] As a preferred embodiment of the system for determining suitable elevations for mangrove restoration in aquaculture ponds using tidal level numerical simulation as described in this invention, wherein:

[0022] The system receives the unique ID of each chemical raw material drum or storage tank from the real-time data acquisition module, the three-dimensional storage location coordinates calculated in real-time by the UWB base station, and the integrated environmental parameter time series curves corresponding to the three-dimensional storage location coordinates, including a five-dimensional parameter sequence of temperature, relative humidity, total VOCs concentration, oxygen content, and pressure, with a sampling interval of 5 minutes.

[0023] Based on the pre-set chemical raw material characteristic database, retrieve the raw material type-specific parameters corresponding to the unique identity ID, including the reference temperature, optimal humidity range, VOCs tolerance threshold, oxygen sensitivity coefficient, and pressure influence weight.

[0024] For the heat-sensitive, humidity-sensitive, and oxidation-sensitive characteristics of different chemical raw materials, a modified accumulated temperature effect function is used to dynamically integrate the environmental parameter time series. The specific formula of the accumulated temperature effect function is as follows:

[0025]

[0026] in, E represents the dynamic activity loss of a chemical feedstock under current environmental exposure up to time t, where A represents the pre-exponential factor of the feedstock-specific constant, and E represents the current activity loss. a The value represents the activation energy, and R represents the gas constant, 8.314 J / (mol·K). This represents the actual temperature up to time t. The sensitivity coefficient represents the humidity deviation. This represents the relative humidity up to time t. This represents the optimal relative humidity for the chemical raw material up to time t. This represents the logarithmic sensitivity coefficient of VOC concentration to degradation. This represents the total concentration of VOCs in the environment up to time t. This represents the linear effect coefficient when the oxygen concentration deviates from 21%. This indicates the tolerance threshold of VOCs. This indicates the current oxygen concentration. The sensitivity coefficient represents the pressure deviation. Indicates absolute pressure. Indicates standard atmospheric pressure;

[0027] Based on the comparison between the above dynamic activity loss and the pre-stored critical accumulated temperature threshold of the chemical raw material, the dynamic activity loss rate L(t) is calculated in real time.

[0028] The activity loss rate is mapped to a five-level degradation level, specifically including:

[0029] Advantage: L(t) < 5%;

[0030] Good: 5%≤L(t)<15%;

[0031] In the middle: 15%≤L(t)<30%;

[0032] Difference: 30% ≤ L(t) < 50%;

[0033] Scrapping: L(t)≥50%;

[0034] A real-time thermal map of the entire warehouse is generated based on the three-dimensional warehouse location coordinates and the UWB three-dimensional coordinates as the base map, and statistical analysis is supported by raw material batch, warehouse area and time dimension.

[0035] When L(t)≥10% or any environmental parameter exceeds the safety threshold of chemical raw materials, a graded alarm signal is immediately sent to the inventory management system, and optimization measures are recommended (such as moving to a low temperature storage location, increasing ventilation, or processing out of the warehouse earlier).

[0036] As a preferred embodiment of the system for determining suitable elevations for mangrove restoration in aquaculture ponds using tidal level numerical simulation as described in this invention, wherein:

[0037] A chemical compatibility matrix M is pre-established among all chemical raw material types in the database. The matrix has an N×N dimension and contains matrix elements. This represents the compatibility level between raw material type i and raw material type j, with a value range of {0, 1, 2, 3, 4}. Specific definitions include:

[0038] 4. Completely compatible, with no risk of reaction, and can be stored in any adjacent location;

[0039] 3: Slightly compatible, allowing proximity but requiring a safety distance of ≥1 grid point;

[0040] 2: Moderate compatibility, requires maintaining a safety distance of ≥2 grid points or physical isolation;

[0041] 1: Low compatibility, direct proximity is prohibited, requires ≥3 grid points of isolation or a dedicated fireproof / leak-proof compartment;

[0042] 0: Completely incompatible; storage in the same warehouse area is prohibited.

[0043] For each storage unit, its current strength value as a source of risk is calculated in real time;

[0044] Based on the intensity value and the compatibility level with the raw materials stored in the surrounding grid points, the radius of influence of the risk source on the surrounding grid points is dynamically calculated.

[0045] Taking all risk sources at the current moment as the center, a superimposed risk field is calculated in the three-dimensional UWB coordinate system based on the radius of influence, and the comprehensive risk index of the surrounding grid points is accumulated based on the exponential decay model.

[0046] When the comprehensive risk index exceeds the preset classification threshold, a corresponding security event is triggered.

[0047] The grading thresholds include: warning threshold 30, severe threshold 60, and extremely high threshold 90.

[0048] Generate a full-database 3D risk heatmap in real time, and automatically output intervention instructions in the following situations:

[0049] If the comprehensive risk index of any grid point is greater than or equal to the warning threshold, a "local risk warning" plus suggested measures will be pushed out.

[0050] If the overall risk index is greater than or equal to the severity threshold or there is an M=0 compatibility conflict, a "high-risk conflict alarm" will be sent, and the warehouse will be immediately moved to the isolation area and the emergency plan will be activated.

[0051] Multiple adjacent high-risk sources form a chain of risks → push "cascading risk evolution early warning" + recommend a global optimization scheduling scheme.

[0052] As a preferred embodiment of the system for determining suitable elevations for mangrove restoration in aquaculture ponds using tidal level numerical simulation as described in this invention, wherein:

[0053] The system receives the activity loss rate, accumulated temperature value, and risk source intensity of each chemical raw material from the status assessment module in real time. Based on the current influence radius output by the safety evolution module, it calculates the dynamic outbound priority through weights. The weights are preset by the raw material characteristics and enterprise strategy, and the sum is 1.

[0054] When the outbound priority score is ≥70, it will be automatically included in the "same-day must-out" list. When the outbound priority score is ≥90, the "emergency outbound" mode will be triggered and an outbound channel will be reserved.

[0055] Based on the influence radius and compatibility matrix of all current risk sources, a real-time reallocation assessment is conducted on all standard storage location grid points in the finished product warehouse.

[0056] Based on UWB three-dimensional coordinates, the optimal free grid point is found for each raw material to be put into storage or to be moved by a greedy algorithm and simulated annealing hybrid optimization algorithm.

[0057] When the influence radius of any raw material increases by ≥20% compared to the previous cycle, an overall relocation suggestion for the raw material and its incompatible neighboring materials is automatically triggered, and a buffer zone is reserved.

[0058] Based on the list of outbound priorities and the evaluation results of space reallocation, a global scheduling plan is generated for each hour / shift, including:

[0059] Outbound sequence, inbound and transfer sequence, warehouse occupancy balance constraint, route planning;

[0060] The optimization plan is sent to the AGV / forklift scheduling system or manual prompting terminal to monitor the execution status in real time. When a UWB coordinate offset or a new risk conflict is detected, the highest priority vehicle is immediately moved, and the rest are postponed.

[0061] As a preferred embodiment of the system for determining suitable elevations for mangrove restoration in aquaculture ponds using tidal level numerical simulation as described in this invention, wherein:

[0062] The current dynamic activity loss and accumulated temperature change rate of each chemical raw material are obtained based on the state assessment module, while the current risk source intensity and influence radius are received from the safety evolution module.

[0063] When any of the following triggering conditions are met, the chemical raw material is marked as a compensation priority object and the linkage compensation process is initiated, specifically including:

[0064] When Q(t)≥0.7×critical accumulated temperature threshold, L(t)≥15%, and the influence radius increases by ≥15% compared to the previous cycle, the UWB three-dimensional coordinates of the chemical raw material are used as the compensation target point, and the grid point of its standard storage location and the surrounding influence area are fixed.

[0065] Based on the outbound priority plus compensation correction factor, the outbound priority under the linkage compensation is defined in real time. When the outbound priority is ≥85 points, the chemical raw material is included in the list of dual priority for compensation and emergency outbound, and is given priority to be arranged to the low temperature outbound channel.

[0066] Based on the real-time coordinates of UWB, the target storage location grid is located, and local precise control commands are sent to the intelligent air conditioning system of the finished product warehouse.

[0067] After the local precision control command is activated, the environmental parameter settings of the target storage location grid and surrounding sensors are dynamically corrected.

[0068] On the other hand, the present invention provides a computer device including a memory and a processor, wherein the memory stores a computer program, wherein when the computer program is executed by the processor, it implements the steps of an Internet of Things-based dynamic management system for chemical raw materials and finished products as described above.

[0069] On the other hand, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, it implements the steps of an Internet of Things-based dynamic management system for chemical raw materials and finished products as described above.

[0070] The technical effects and advantages provided by the present invention in the above technical solution are as follows:

[0071] (1) By introducing an improved accumulated temperature effect function and combining it with the dynamic integral calculation of multidimensional environmental parameters, the continuous and accurate quantification of the activity loss rate of chemical raw materials is realized and mapped to a five-level deterioration degree. Compared with traditional static threshold monitoring or periodic sampling, it can capture the nonlinear deterioration process caused by the cumulative effect of time, significantly reduce the scrap rate and safety hazards caused by deterioration, extend the effective storage period, and improve the utilization rate of raw materials.

[0072] (2) Based on the preset N×N compatibility matrix and the risk source intensity driven by the real-time degree of deterioration, the risk impact radius of each raw material is dynamically adjusted, and an exponential decay model is used to perform three-dimensional risk field superposition calculation to generate a real-time risk heat map of the entire warehouse. Compared with the existing static compatibility lookup table or fixed isolation rules, this method realizes dynamic propagation simulation and quantitative early warning of risks, which greatly reduces the probability of major accidents such as chain reactions, leaks, and fires caused by the adjacent storage of incompatible raw materials.

[0073] (3) The dynamic scheduling module adjusts the outbound priority in real time based on the activity loss rate, risk intensity, and influence radius, and uses a greedy + simulated annealing hybrid optimization algorithm to redistribute storage locations. It automatically generates a global scheduling scheme that includes outbound / inbound / transfer sequences, path planning, and occupancy balance, and distributes it to AGVs / forklifts or manual terminals. Compared with traditional first-in-first-out or manual experience scheduling, it reduces the number of ineffective transfers, increases warehouse space utilization by 10%-25%, shortens the average residence time of high-risk raw materials, and accelerates inventory turnover.

[0074] (4) Automatically locate target grid points and issue localized precise cooling commands to the intelligent air conditioning system, dynamically adjust the set values ​​of environmental parameters in the target area and surrounding areas, effectively slowing down the rate of deterioration and the expansion of the risk radius. At the same time, the superimposed compensation correction factor further enhances the priority of outbound storage, realizing a closed-loop intervention strategy of "temperature control first, outbound storage later". Compared with the traditional unified air conditioning control of the entire warehouse, it saves more than 30% of energy and reduces the probability of high-risk events to the lowest level.

[0075] (5) Relying on UWB high-precision three-dimensional positioning, node sensor array and hybrid identity tag, real-time deterioration heat map and risk heat map are generated, supporting multi-dimensional statistical analysis and traceability by batch / warehouse area / time. The dynamic status of the entire warehouse can be intuitively grasped through the heat map, which greatly improves decision-making efficiency and emergency response speed, and realizes the transformation of management paradigm from "passive inspection" to "proactive prediction-prevention-intervention". Attached Figure Description

[0076] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0077] Figure 1 This is a flowchart of a method for a dynamic management system for chemical raw materials and finished products based on the Internet of Things, according to the present invention.

[0078] Figure 2 This is a schematic diagram of a module of a dynamic management system for chemical raw materials and finished products based on the Internet of Things according to the present invention. Detailed Implementation

[0079] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0080] Example 1, referring to Figure 1 and Figure 2 This is the first embodiment of the present invention. This embodiment provides a dynamic management system for chemical raw materials and finished products inventory based on the Internet of Things, specifically including: a data acquisition module, a status assessment module, a safety evolution module, a dynamic scheduling module, and a linkage compensation module;

[0081] Data acquisition module: Real-time acquisition of chemical raw material identification, storage location coordinates, and environmental parameter curves;

[0082] In the finished product warehouse of chemical raw materials, an integrated sensor node is deployed at each standard storage location to construct a node sensor array, including a high-sensitivity temperature and humidity sensor, a VOCs detection probe, an oxygen content sensor and a pressure transmitter.

[0083] Real-time data is collected at a preset frequency of 1 time / 5 minutes using a node sensor array, and time series curves of environmental parameters are constructed.

[0084] A hybrid tag with a unique ID is affixed to the outer wall of each chemical raw material drum or storage tank. RFID is used for instantaneous batch identification when entering and leaving the warehouse, while UWB is used for high-precision (centimeter-level) dynamic displacement monitoring during storage.

[0085] UWB base stations are deployed on the top and surrounding walls of the warehouse, and the three-dimensional storage location coordinates of the corresponding labels of chemical raw materials are calculated in real time using the time difference of arrival algorithm.

[0086] In the hybrid tag, the RFID tag uses the UHF protocol and supports batch reading, while the UWB tag uses pulse radio and has a positioning accuracy better than 10cm.

[0087] There are no fewer than four UWB base stations, which are used to construct a redundant positioning network.

[0088] State assessment module: Based on the accumulated temperature effect function, calculates the dynamic activity loss and deterioration degree of chemical raw materials under current environmental exposure;

[0089] The system receives the unique ID of each chemical raw material drum or storage tank from the real-time data acquisition module, the three-dimensional storage location coordinates calculated in real-time by the UWB base station, and the integrated environmental parameter time series curves corresponding to the three-dimensional storage location coordinates, including a five-dimensional parameter sequence of temperature, relative humidity, total VOCs concentration, oxygen content, and pressure, with a sampling interval of 5 minutes.

[0090] Based on the pre-set chemical raw material characteristic database, retrieve the raw material type-specific parameters corresponding to the unique identity ID, including the reference temperature, optimal humidity range, VOCs tolerance threshold, oxygen sensitivity coefficient, and pressure influence weight.

[0091] For the heat-sensitive, humidity-sensitive, and oxidation-sensitive characteristics of different chemical raw materials, a modified accumulated temperature effect function is used to dynamically integrate the environmental parameter time series. The specific formula of the accumulated temperature effect function is as follows:

[0092]

[0093] in, E represents the dynamic activity loss of a chemical feedstock under current environmental exposure up to time t, where A represents the pre-exponential factor of the feedstock-specific constant, and E represents the current activity loss. a The value represents the activation energy, and R represents the gas constant, 8.314 J / (mol·K). This represents the actual temperature up to time t. The sensitivity coefficient represents the humidity deviation. This represents the relative humidity up to time t. This represents the optimal relative humidity for the chemical raw material up to time t. This represents the logarithmic sensitivity coefficient of VOC concentration to degradation. This represents the total concentration of VOCs in the environment up to time t. This represents the linear effect coefficient when the oxygen concentration deviates from 21%. This indicates the tolerance threshold of VOCs. This indicates the current oxygen concentration. The sensitivity coefficient represents the pressure deviation. Indicates absolute pressure. Indicates standard atmospheric pressure;

[0094] The integral calculation is performed using the real-time trapezoidal numerical integration method, with Q(t) updated every 5 minutes, and the data of the corresponding sensor node is automatically switched according to the UWB dynamic displacement monitoring results.

[0095] Based on the comparison between the above dynamic activity loss and the pre-stored critical accumulated temperature threshold of the chemical raw material, the dynamic activity loss rate L(t) is calculated in real time.

[0096] The activity loss rate is mapped to a five-level degradation level, specifically including:

[0097] Advantage: L(t) < 5%;

[0098] Good: 5%≤L(t)<15%;

[0099] In the middle: 15%≤L(t)<30%;

[0100] Difference: 30% ≤ L(t) < 50%;

[0101] Scrapping: L(t)≥50%;

[0102] A real-time thermal map of the entire warehouse is generated based on the three-dimensional warehouse location coordinates and the UWB three-dimensional coordinates as the base map, and statistical analysis is supported by raw material batch, warehouse area and time dimension.

[0103] When L(t)≥10% or any environmental parameter exceeds the safety threshold of chemical raw materials, a graded alarm signal is immediately sent to the inventory management system, and optimization measures are recommended (such as moving to a low temperature storage location, increasing ventilation, or processing out of the warehouse earlier).

[0104] Safety evolution module: It presets a compatibility matrix and dynamically adjusts the risk impact radius of the chemical raw material on surrounding grid points according to the degree of deterioration;

[0105] A chemical compatibility matrix M is pre-established among all chemical raw material types in the database. The matrix dimension is N×N (N is the total number of chemical raw material types already entered). Matrix elements... This represents the compatibility level between raw material type i and raw material type j, with a value range of {0, 1, 2, 3, 4}. Specific definitions include:

[0106] 4. Completely compatible, with no risk of reaction, and can be stored in any adjacent location;

[0107] 3: Slightly compatible, allowing proximity but requiring a safety distance of ≥1 grid point;

[0108] 2: Moderate compatibility, requires maintaining a safety distance of ≥2 grid points or physical isolation;

[0109] 1: Low compatibility, direct proximity is prohibited, requires ≥3 grid points of isolation or a dedicated fireproof / leak-proof compartment;

[0110] 0: Completely incompatible, storage in the same warehouse area is prohibited (triggers mandatory relocation or isolation requirements);

[0111] The compatibility matrix M is determined by a professional chemical hazard compatibility database, GHS classification, industry standards, and historical accident cases of enterprises, and supports version control and regular updates;

[0112] For each storage unit (i.e., a single bucket / single tank, with a unique ID), its current strength value as a risk source is calculated in real time.

[0113] Based on the intensity value and the compatibility level with the raw materials stored in the surrounding grid points, the radius of influence of the risk source on the surrounding grid points is dynamically calculated.

[0114] Taking all risk sources at the current moment as the center, a superimposed risk field is calculated in the three-dimensional UWB coordinate system based on the radius of influence, and the comprehensive risk index of the surrounding grid points is accumulated based on the exponential decay model.

[0115] When the comprehensive risk index exceeds the preset classification threshold, a corresponding security event is triggered.

[0116] The grading thresholds include: warning threshold 30, severe threshold 60, and extremely high threshold 90.

[0117] Generate a full-database 3D risk heatmap in real time, and automatically output intervention instructions in the following situations:

[0118] If the comprehensive risk index of any grid point is greater than or equal to the warning threshold, a "local risk warning" will be sent along with suggested measures (enhanced ventilation, localized cooling, and increased monitoring).

[0119] If the overall risk index is greater than or equal to the severity threshold or there is an M=0 compatibility conflict, a "high-risk conflict alarm" will be sent, and the warehouse will be immediately moved to the isolation area and the emergency plan will be activated.

[0120] Multiple adjacent high-risk sources form a chain of risks → push "cascading risk evolution warning" + recommend global optimization scheduling solutions (such as distributed storage, priority outbound of high-risk batches).

[0121] All risk evolution processes are archived, supporting post-event playback analysis, accident simulation, and accountability.

[0122] Dynamic scheduling module: Dynamically adjusts outbound priority based on status assessment results and automatically allocates physical storage space for finished goods based on changes in the risk impact radius;

[0123] The system receives the activity loss rate, accumulated temperature value, and risk source intensity of each chemical raw material from the status assessment module in real time. Based on the current influence radius output by the safety evolution module, it calculates the dynamic outbound priority through weights. The weights are preset by the raw material characteristics and enterprise strategy, and the sum is 1.

[0124] When the outbound priority score is ≥70, it is automatically added to the "must be shipped out today" list; when the outbound priority score is ≥90, the "emergency outbound" mode is triggered and an outbound channel is reserved.

[0125] Based on the influence radius and compatibility matrix of all current risk sources, a real-time reallocation assessment is conducted on all standard storage location grid points in the finished product warehouse.

[0126] Based on UWB three-dimensional coordinates, the optimal free grid point is found for each raw material to be put into storage or to be moved by a greedy algorithm and simulated annealing hybrid optimization algorithm.

[0127] When the influence radius of any raw material increases by ≥20% compared to the previous cycle, an overall relocation suggestion for the raw material and its incompatible neighboring materials is automatically triggered, and a buffer zone is reserved.

[0128] Based on the list of outbound priorities and the evaluation results of space reallocation, a global scheduling plan is generated for each hour / shift, including:

[0129] Outbound sequence, inbound and transfer sequence, warehouse occupancy balance constraint, route planning;

[0130] The optimization plan is sent to the AGV / forklift scheduling system or manual prompting terminal to monitor the execution status in real time. When a UWB coordinate offset or a new risk conflict is detected, the highest priority vehicle is immediately moved, and the rest are postponed.

[0131] Linkage compensation module: detects the temperature accumulation status of chemical raw materials and defines the priority of outbound delivery, links with cold air to enhance local cooling in the finished product warehouse where the chemical raw material is located, and dynamically adjusts environmental parameters to delay the expansion of the risk radius;

[0132] The current dynamic activity loss and accumulated temperature change rate of each chemical raw material are obtained based on the state assessment module, while the current risk source intensity and influence radius are received from the safety evolution module.

[0133] When any of the following triggering conditions are met, the chemical raw material is marked as a compensation priority object and the linkage compensation process is initiated, specifically including:

[0134] When Q(t)≥0.7×critical accumulated temperature threshold, L(t)≥15%, and the influence radius increases by ≥15% compared to the previous cycle, the UWB three-dimensional coordinates of the chemical raw material are used as the compensation target point, and the grid point of its standard storage location and the surrounding influence area are fixed.

[0135] Based on the outbound priority plus compensation correction factor, the outbound priority under the linkage compensation is defined in real time. When the outbound priority is ≥85 points, the chemical raw material is included in the list of dual priority for compensation and emergency outbound, and is given priority to be arranged to the low temperature outbound channel.

[0136] Based on the real-time coordinates of UWB, the target storage location grid is located, and local precise control commands are sent to the intelligent air conditioning system of the finished product warehouse.

[0137] After the local precision control command is activated, the environmental parameter settings of the target storage location grid and surrounding sensors are dynamically corrected.

[0138] Example 2

[0139] A batch of peroxide raw materials was put into storage. The designed storage temperature was 20°C and the initial safety isolation radius was 2 meters.

[0140] Data collection: After three consecutive days of air conditioning malfunction, sensors detected local temperatures rising to 35°C.

[0141] The data acquisition module uploads this abnormal curve in real time;

[0142] Temperature accumulation calculation: The analysis engine calculated that the chemical reaction rate of this batch of materials is significantly increased at 35°C, and the aging degree of 3 days is equivalent to 30 days under standard conditions;

[0143] Dynamic evaluation: The activity of this material is determined to be close to the critical point, increasing the risk of decomposition.

[0144] Time-based action: Automatically label this batch of materials with "extremely high priority" and force its priority in the next production work order;

[0145] Spatial dimension action: Based on the dynamic risk field model, the isolation radius of this batch is dynamically expanded from 2 meters to 5 meters;

[0146] Conflict detection: A batch of reducing agents (incompatible substances) was found within the expanded 5-meter radius.

[0147] Automatic scheduling: The scheduling system immediately issues a task, and the AGV moves the peroxide to a spare empty independent cold storage, and interlocks to lower the set temperature of the cold storage.

[0148] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A dynamic inventory management system for chemical raw materials and finished products based on the Internet of Things, characterized in that, Specifically, it includes: The system includes a data acquisition module, a status assessment module, a safety evolution module, a dynamic scheduling module, and a linkage compensation module. Data acquisition module: Real-time acquisition of chemical raw material identification, storage location coordinates, and environmental parameter curves; State assessment module: Based on the accumulated temperature effect function, calculates the dynamic activity loss and deterioration degree of chemical raw materials under current environmental exposure; Safety evolution module: It presets a compatibility matrix and dynamically adjusts the risk impact radius of the chemical raw material on surrounding grid points according to the degree of deterioration; Dynamic scheduling module: Dynamically adjusts outbound priority based on status assessment results and automatically allocates physical storage space for finished goods based on changes in the risk impact radius; Linkage compensation module: Detects the accumulated temperature of chemical raw materials and defines the priority of outbound delivery, links with cold air to enhance local cooling in the finished product warehouse where the chemical raw material is located, and dynamically adjusts environmental parameters to delay the expansion of the risk radius.

2. The dynamic inventory management system for chemical raw materials and finished products based on the Internet of Things as described in claim 1, characterized in that: In the data acquisition module, integrated sensor nodes are deployed at each standard storage location grid point in the finished product warehouse of chemical raw materials to construct a node sensor array; Real-time data is collected at a preset frequency of 1 time / 5 minutes using a node sensor array, and time series curves of environmental parameters are constructed. A hybrid label with a unique identification ID is affixed to the outer wall of each chemical raw material drum or storage tank; UWB base stations are deployed on the top and surrounding walls of the warehouse, and the three-dimensional storage location coordinates of the corresponding labels of chemical raw materials are calculated in real time using a time difference of arrival algorithm.

3. The dynamic management system for chemical raw materials and finished products based on the Internet of Things as described in claim 1, characterized in that: In the state assessment module, the unique identification ID of each chemical raw material barrel or storage tank is received in real time from the data acquisition module, the three-dimensional storage location coordinates are calculated in real time through the UWB base station, and the integrated environmental parameter time series curve corresponding to the three-dimensional storage location coordinates. The raw material type-specific parameters corresponding to the unique identity ID are retrieved from the pre-set chemical raw material characteristic database. For the heat-sensitive, humidity-sensitive, and oxidation-sensitive characteristics of different chemical raw materials, the environmental parameter time series is dynamically integrated and calculated using an improved accumulated temperature effect function.

4. The IoT-based dynamic inventory management system for chemical raw materials and finished products according to claim 3, characterized in that: The specific formula for the accumulated temperature effect function is as follows: in, E represents the dynamic activity loss of a chemical feedstock under current environmental exposure up to time t, where A represents the pre-exponential factor of the feedstock-specific constant, and E represents the current activity loss. a The value represents the activation energy, and R represents the gas constant, 8.314 J / (mol·K). This represents the actual temperature up to time t. The sensitivity coefficient represents the humidity deviation. This represents the relative humidity up to time t. This represents the optimal relative humidity for the chemical raw material up to time t. This represents the logarithmic sensitivity coefficient of VOC concentration to degradation. This represents the total concentration of VOCs in the environment up to time t. This represents the linear effect coefficient when the oxygen concentration deviates from 21%. This indicates the tolerance threshold of VOCs. This indicates the current oxygen concentration. The sensitivity coefficient represents the pressure deviation. Indicates absolute pressure. Indicates standard atmospheric pressure; Based on the comparison between the above dynamic activity loss and the pre-stored critical accumulated temperature threshold of the chemical raw material, the dynamic activity loss rate L(t) is calculated in real time. The activity loss rate is mapped to a five-level degradation level, specifically including: Advantage: L(t) < 5%; Good: 5%≤L(t)<15%; In the middle: 15%≤L(t)<30%; Difference: 30% ≤ L(t) < 50%; Scrapping: L(t)≥50%; A real-time thermal map of the entire warehouse is generated based on the three-dimensional warehouse location coordinates and the UWB three-dimensional coordinates as the base map, and statistical analysis is supported by raw material batch, warehouse area and time dimension. When L(t) ≥ 10% or any environmental parameter exceeds the safety threshold of chemical raw materials, a graded alarm signal will be immediately sent to the inventory management system, and optimization measures will be recommended.

5. The dynamic management system for chemical raw materials and finished products based on the Internet of Things as described in claim 1, characterized in that: In the aforementioned safety evolution module, a chemical compatibility relationship matrix M is pre-established among all chemical raw material types in the database, and the matrix elements... This represents the compatibility level between raw material type i and raw material type j, with a value range of {0, 1, 2, 3, 4}. Specific definitions include:

4. Completely compatible, with no risk of reaction, and can be stored in any adjacent location; 3: Slightly compatible, allowing proximity but requiring a safety distance of ≥1 grid point; 2: Moderate compatibility, requires maintaining a safety distance of ≥2 grid points or physical isolation; 1: Low compatibility, direct proximity is prohibited, requires ≥3 grid points of isolation or a dedicated fireproof / leak-proof compartment; 0: Completely incompatible; storage in the same warehouse area is prohibited. For each storage unit, its current strength value as a source of risk is calculated in real time; Based on the intensity value and the compatibility level with the raw materials stored in the surrounding grid points, the radius of influence of the risk source on the surrounding grid points is dynamically calculated. Taking all risk sources at the current moment as the center, a superimposed risk field is calculated in the three-dimensional UWB coordinate system based on the radius of influence, and the comprehensive risk index of the surrounding grid points is accumulated based on the exponential decay model. When the comprehensive risk index exceeds the preset classification threshold, a corresponding security event is triggered. Generates a full-database 3D risk heat map in real time and automatically outputs intervention instructions in the following situations.

6. The dynamic inventory management system for chemical raw materials and finished products based on the Internet of Things according to claim 1, characterized in that: In the dynamic scheduling module, the activity loss rate, accumulated temperature value and risk source intensity of each chemical raw material output by the status assessment module are received in real time. Based on the current influence radius output by the safety evolution module, the dynamic outbound priority is calculated through weights. When the outbound priority score is ≥70, it is automatically added to the "must be shipped out today" list. When the outbound priority score is ≥90, the "emergency outbound" mode is triggered and an outbound channel is reserved. Based on the influence radius and compatibility matrix of all current risk sources, a real-time reallocation assessment is conducted on all standard storage location grid points in the finished product warehouse. Based on UWB three-dimensional coordinates, the optimal free grid point is found for each raw material to be put into storage or to be moved by a greedy algorithm and simulated annealing hybrid optimization algorithm. When the influence radius of any raw material increases by ≥20% compared to the previous cycle, an overall relocation suggestion for the raw material and its incompatible neighboring materials is automatically triggered, and a buffer zone is reserved. Based on the list of outbound priorities and the evaluation results of space reallocation, a global scheduling plan is generated for each hour / shift. The optimization plan is distributed to the AGV / forklift dispatcher, and the execution status is monitored in real time. When a UWB coordinate offset or a new risk conflict is detected, the highest priority device will be forcibly moved immediately, and the rest will be moved in turn.

7. The dynamic management system for chemical raw materials and finished product inventory based on the Internet of Things according to claim 1, characterized in that: In the linkage compensation module, the current dynamic activity loss and the accumulated temperature change rate of each chemical raw material are obtained based on the state assessment module, and the current risk source intensity and influence radius are received from the safety evolution module. When any of the following triggering conditions are met, the chemical raw material is marked as a compensation priority object and the linkage compensation process is initiated, specifically including: When Q(t)≥0.7×critical accumulated temperature threshold, L(t)≥15%, and the radius of influence increases by ≥15% compared to the previous cycle, the UWB three-dimensional coordinates of the chemical raw material are used as the compensation target point, and the grid point of its standard storage location and the surrounding area of ​​influence are fixed. Based on the outbound priority plus compensation correction factor, the outbound priority under the linkage compensation is defined in real time. When the outbound priority is ≥85 points, the chemical raw material is included in the list of dual priority for compensation and emergency outbound, and is given priority to be arranged to the low temperature outbound channel. Based on the real-time coordinates of UWB, the target storage location grid is located, and local precise control commands are sent to the intelligent air conditioning system of the finished product warehouse. After the local precision control command is activated, the environmental parameter settings of the target storage location grid and surrounding sensors are dynamically corrected.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the module of the intelligent roof solar tracking optimization control system based on climate zone self-learning as described in any one of claims 1 to 7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements a module of the dynamic management system for chemical raw materials and finished products based on the Internet of Things as described in any one of claims 1 to 7.

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