Self-heating risk assessment method and device, computer equipment, readable storage medium and program product

Abstract

This application relates to a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for self-heating risk assessment. The method includes: acquiring the material's dimensional values ​​during actual production, and the ambient temperature of the environment in which the material is located during the actual production process; locating a target operating point in a preset coordinate system based on the material's dimensional values ​​and the ambient temperature; and assessing the material's self-heating risk based on the positional relationship between the target operating point and a safety operating curve in the preset coordinate system. This method can effectively reduce safety risks.

Description

Technical Field

[0001] This application relates to the field of production safety technology, and in particular to a self-heating risk assessment method, apparatus, computer equipment, computer-readable storage medium, and computer program product. Background Technology

[0002] Combustible materials, especially reactive ones, can undergo slow oxidation-reduction reactions in air, releasing heat. When the amount of material piled up or the volume of the process is too large, the heat generated by the oxidation reaction cannot be transferred to the surface of the material system in time through heat conduction and effectively removed through convection, causing the internal temperature of the material system to rise continuously. This heat accumulation further accelerates the rate of the oxidation-reduction reaction and may even trigger other secondary reactions, eventually causing the material temperature to reach its auto-ignition point, thus causing a fire or other safety accidents.

[0003] In traditional technologies, monitoring this risk primarily relies on directly deploying temperature sensors to measure the material temperature in real time. When an abnormal rise in material temperature is detected, a high-temperature alarm is triggered, prompting on-site operators or managers to intervene promptly and take appropriate follow-up measures such as cooling, ventilation, or material relocation.

[0004] However, for reactive substances with rapid exothermic rates, the time window from temperature anomaly to temperature runaway can be extremely short, leaving very limited time for personnel to react and intervene. If intervention measures are not initiated in time, heat accumulation cannot be effectively contained, potentially leading to fires or explosions. Therefore, issuing alarms only after self-heating has occurred and the temperature has significantly increased still carries a high safety risk. Summary of the Invention

[0005] Therefore, it is necessary to provide a self-heating risk assessment method, apparatus, computer equipment, computer-readable storage medium, and computer program product that can reduce safety risks in response to the above-mentioned technical problems.

[0006] Firstly, this application provides a method for assessing self-heating risk, including:

[0007] Obtain the material dimensions during the actual production process, as well as the ambient temperature of the environment in which the material is located during the actual production process.

[0008] Based on the dimensional values ​​of the production materials and the temperature values ​​of the production environment, locate the target operation point in the preset coordinate system;

[0009] The self-heating risk of the material is assessed based on the positional relationship between the target operating point and the safety operating curve in the preset coordinate system.

[0010] In one embodiment, the method further includes:

[0011] Obtain the target self-heating temperature of the material under multiple test material scale values;

[0012] Based on the dimensional values ​​of each test material and the self-heating temperature values ​​of each target, a safe operation curve is constructed.

[0013] In one embodiment, a safe operating curve is constructed based on the scale values ​​of each test material and the target self-heating temperature values, including:

[0014] For each test material scale value, the logarithm of the test material scale value is used as the vertical axis, and the reciprocal of the target self-heating temperature value of the material under the test material scale value is used as the horizontal axis to locate the fitting point in the preset coordinate system.

[0015] Linear fitting is performed on each point to be fitted to obtain the safe operation curve.

[0016] In one embodiment, a self-heating risk assessment of the material is performed based on the positional relationship between the target operating point and the safe operating curve in a preset coordinate system, including:

[0017] If the target operating point is located in the negative region of the safe operating curve in the preset coordinate system, it is determined that the material does not have a risk of self-heating.

[0018] If the target operating point is located in the positive region of the safe operating curve in the preset coordinate system, then the material is determined to have a risk of self-heating.

[0019] In one embodiment, the test material scale value includes a first test material scale value and a plurality of second test material scale values, wherein the first test material scale value is greater than each of the second test material scale values; obtaining the target self-heating temperature value of the material under the plurality of test material scale values ​​includes:

[0020] Obtain the first test temperature value;

[0021] The control testing device measures the first test material corresponding to the first test material according to the first test material scale value, and detects whether the first test material has a self-heating phenomenon at the first test temperature value.

[0022] If the first test material exhibits self-heating at the first test temperature value, the first test temperature value is reduced by a preset first adjustment step to obtain a new first test temperature value, and the process returns to the step of detecting whether the first test material exhibits self-heating at the first test temperature value.

[0023] If the first test material does not exhibit self-heating at the first test temperature value, then the first test temperature value is increased by a preset second adjustment step to obtain the second test temperature value. The preset second adjustment step is smaller than the preset first adjustment step.

[0024] The control and testing device detects whether the first test material exhibits self-heating at the second test temperature value;

[0025] If the first test material does not exhibit self-heating at the second test temperature, the second test temperature is increased by a preset second adjustment step to obtain a new second test temperature, and the process returns to the step of the control test device to detect whether the first test material exhibits self-heating at the second test temperature.

[0026] If the first test material exhibits self-heating at the second test temperature, then the target self-heating temperature value of the material at the first test material scale value is determined based on the second test temperature value.

[0027] The target self-heating temperature value of the material under the first test material scale value is determined as the third test temperature value. The second test material scale value is determined in descending order. The second test material corresponding to the material is obtained according to the second test material scale value.

[0028] The control and testing device detects whether the second test material exhibits self-heating at the third test temperature.

[0029] If the second test material does not exhibit self-heating at the third test temperature, the third test temperature is increased by the preset second adjustment step to obtain a new third test temperature, and the process returns to the step of the control test device to detect whether the second test material exhibits self-heating at the third test temperature.

[0030] If the second test material exhibits self-heating at the third test temperature, then the target self-heating temperature of the material at the second test material scale value is determined based on the third test temperature.

[0031] The target self-heating temperature value of the material under the second test material scale value is determined as the third test temperature value, and the process of determining the target self-heating temperature value as the third test temperature value is repeated until the target self-heating temperature value corresponding to each of the second test material scale values ​​has been determined.

[0032] In one embodiment, obtaining the first test temperature value includes:

[0033] Obtain the initial test material corresponding to the material, perform programmed heating on the initial test material, and monitor the material temperature value of the initial test material and the ambient temperature value of the environment in which the initial test material is located during the programmed heating process.

[0034] The material temperature value at which the initial test material temperature value is first detected to be equal to the ambient temperature value of the environment in which the initial test material is located is determined as the initial self-heating temperature value.

[0035] According to the preset third adjustment step, the initial self-heating temperature value is reduced to obtain the first test temperature value.

[0036] In one embodiment, the highest temperature value of the programmed heating is higher than the highest heat source temperature that the material can come into contact with during the actual production process.

[0037] Secondly, this application also provides a self-heating risk assessment device, comprising:

[0038] The acquisition module is used to acquire the material size values ​​during the actual production process, as well as the production environment temperature values ​​of the environment in which the material is located during the actual production process.

[0039] The positioning module is used to locate the target operation point in a preset coordinate system based on the size value of the production material and the temperature value of the production environment.

[0040] The detection module is used to assess the self-heating risk of materials based on the positional relationship between the target operating point and the safety operating curve in the preset coordinate system.

[0041] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0042] Obtain the material dimensions during the actual production process, as well as the ambient temperature of the environment in which the material is located during the actual production process.

[0043] Based on the dimensional values ​​of the production materials and the temperature values ​​of the production environment, locate the target operation point in the preset coordinate system;

[0044] The self-heating risk of the material is assessed based on the positional relationship between the target operating point and the safety operating curve in the preset coordinate system.

[0045] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0046] Obtain the material dimensions during the actual production process, as well as the ambient temperature of the environment in which the material is located during the actual production process.

[0047] Based on the dimensional values ​​of the production materials and the temperature values ​​of the production environment, locate the target operation point in the preset coordinate system;

[0048] The self-heating risk of the material is assessed based on the positional relationship between the target operating point and the safety operating curve in the preset coordinate system.

[0049] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0050] Obtain the material dimensions during the actual production process, as well as the ambient temperature of the environment in which the material is located during the actual production process.

[0051] Based on the dimensional values ​​of the production materials and the temperature values ​​of the production environment, locate the target operation point in the preset coordinate system;

[0052] The self-heating risk of the material is assessed based on the positional relationship between the target operating point and the safety operating curve in the preset coordinate system.

[0053] The aforementioned self-heating risk assessment method, apparatus, computer equipment, computer-readable storage medium, and computer program product first acquire the material scale value and the ambient temperature value of the material during the actual production process. These two parameters are key variables determining the balance between oxidation heat generation and heat dissipation during production. Subsequently, the material scale value and ambient temperature value are mapped to a target operating point in a preset coordinate system. A safe operating curve is pre-constructed within this coordinate system, representing the boundary where oxidation heat generation and heat dissipation reach a critical equilibrium under different material scales and ambient temperatures. Therefore, by understanding the positional relationship between the target operating point and the safe operating curve, the potential heat accumulation trend due to scale effects and environmental coupling can be identified in the early stages before a significant increase in material temperature. Compared to the traditional technology's delayed alarm mode of waiting for an abnormal temperature rise, this application, through proactive condition judgment, can issue an early warning before the self-heating process enters an uncontrollable stage, thus reserving sufficient operating time for process adjustments or cooling interventions, effectively reducing the risk of safety accidents such as fires and explosions. Attached Figure Description

[0054] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0055] Figure 1 This is a diagram illustrating the application environment of the self-heating risk assessment method in one embodiment of this application;

[0056] Figure 2 This is a flowchart illustrating a self-heating risk assessment method in one embodiment of this application;

[0057] Figure 3 This is a schematic diagram of the positive and negative regions in one embodiment of this application;

[0058] Figure 4 This is a flowchart illustrating a self-heating risk assessment method in another embodiment of this application;

[0059] Figure 5 This is a schematic diagram of the material core temperature curve and the ambient temperature curve in one embodiment of this application;

[0060] Figure 6 This is a schematic diagram of a safety operation curve in one embodiment of this application;

[0061] Figure 7 This is a structural block diagram of a self-heating risk assessment device in one embodiment of this application;

[0062] Figure 8 This is an internal structural diagram of a computer device in one embodiment of this application. Detailed Implementation

[0063] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0064] The request processing method provided in this application embodiment can be applied to, for example, Figure 1 In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be integrated onto server 104 or located on the cloud or other network servers. Terminal 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, drones, low-altitude aircraft, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, smart in-vehicle devices, projection devices, etc. Portable wearable devices can include smartwatches, smart bracelets, head-mounted devices, etc. Head-mounted devices can be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. Server 104 can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0065] In one exemplary embodiment, such as Figure 2 As shown, a request processing method is provided, which is applied to Figure 1Taking server 104 as an example, the explanation includes the following steps 202 to 206. Wherein:

[0066] Step 202: Obtain the material size value during the actual production process, and the production environment temperature value of the environment in which the material is located during the actual production process.

[0067] In actual production processes, materials often undergo a series of complex physicochemical unit operations, such as high-temperature and high-pressure synthesis in reactors, heating and separation in distillation columns, dehydration in drying equipment, static storage in silos or warehouses, and even transfer and transportation via pipelines or vehicles. During these production stages, the amount of material accumulated may change significantly, and the surrounding temperature environment may fluctuate accordingly. For flammable substances, especially highly reactive chemicals, almost every production stage can potentially trigger a risk of self-heating.

[0068] For example, during the synthesis or purification stage, the material itself is at a high process temperature. If the material accumulates in large quantities inside the equipment at this time, the heat will be further amplified on the basis of the high temperature, which can easily lead to the system temperature runaway. In the subsequent storage process, although the ambient temperature is usually lower than that during the reaction stage, the scale of the material accumulation often far exceeds the amount stored in the reactor. The heat of oxidation reaction that could have been easily dissipated in the flowing or dispersed state will accumulate inside the material due to the greatly extended heat dissipation path, forming the starting point for continuous heat accumulation. If it is close to an external heat source, or during the hot summer weather, the efficiency of heat dissipation from the surface of the material to the environment will be further weakened. The small amount of heat released by slow oxidation will accumulate day by day, and eventually it may also exceed the safety threshold, leading to a spontaneous combustion accident.

[0069] Therefore, conducting self-heating risk assessments on materials before or during actual production is essentially building a dynamic safety barrier that runs through the entire process. When fundamental process conditions such as material dimensions and ambient temperature change, it is possible to immediately and proactively assess whether heat generation and dissipation within the material system remain balanced. This allows for the early identification and prevention of the evolutionary path from quantitative accumulation to uncontrolled qualitative change at every stage of synthesis, purification, storage, transportation, and even use, eliminating potential safety hazards at their inception.

[0070] Material scale refers to characteristic quantities used to characterize the volumetric size of a material, specifically including the total mass, stacked volume, or stacking height. In actual production, combustible substances exist in various forms, including but not limited to powders, lumpy solids, liquids, and semi-solids. Combustible substances can also be mixed with other substances to form composite forms such as slurries and porous materials impregnated with combustible substances. For liquids or slurries, the filling volume within the storage tank can be used as the material scale; for powders or lumpy solids, the total mass or total volume can be used as the material scale; and for porous materials adsorbed with combustible substances, the material scale can be determined by both the total mass of the substrate and the mass of the combustible substance, for example, the ratio of the mass of the combustible substance to the total mass of the substrate.

[0071] The production material dimension value can refer to the specific numerical value of the material's dimensions in the production process targeted by this self-heating risk assessment, determined through measurement or production planning information. For example, if the height of a material during transportation is measured in real time using a radar level gauge, this height value can be used as the production material dimension value for this self-heating risk assessment. Based on the material's density determined through pre-detection and the tank volume in the production planning information, the maximum stacked mass of the material in the storage process can be calculated, and this maximum stacked mass value can be used as the production material dimension value for this self-heating risk assessment.

[0072] In some embodiments, self-heating risk assessments can be performed periodically or triggered throughout the entire production process of the material. In this case, the production material scale value can be the specific material scale value at the time the self-heating risk assessment is initiated. This ensures the self-heating risk assessment results better match the current actual situation, effectively reducing false alarms related to self-heating risks. For example, a self-heating risk assessment can be performed hourly. Each time a self-heating risk assessment is initiated, the volume of material currently detected in the storage room can be used as the production material scale value for that assessment. If the amount of material in the storage room changes, a new self-heating risk assessment result can be detected and provided the next time the assessment is initiated. In some embodiments, the production material scale value can also be continuously monitored during the production process, and a self-heating risk assessment can be automatically triggered when the production material scale value changes.

[0073] In other embodiments, the production material size value can be the specific value of the maximum material size that the material can achieve in the current production stage. This can better improve production safety and reduce the probability of accidents caused by untimely self-heating risk assessment. For example, for a storage room that can hold 1 ton of material, if only 500 kg is currently stored, but since the storage room can hold a maximum of 1 ton of material, the production material size value can be 1 ton.

[0074] The production environment temperature value can refer to the specific value of the ambient temperature where the material is located in the self-heating risk assessment.

[0075] In some embodiments, the set temperature value of the environment in which the material is located can be determined as the production environment temperature value. For example, for a temperature-adjustable storage room, the production environment temperature value can be the set temperature value of the storage room.

[0076] In other embodiments, the estimated maximum temperature of the environment in which the material is located can be determined as the production environment temperature. For example, for a temperature-adjustable storage room, the production environment temperature can be the sum of the set temperature of the storage room and the possible temperature fluctuation. The temperature fluctuation can be estimated based on the external ambient temperature of the storage room, the frequency of opening and closing of the storage room doors and windows, etc. This embodiment does not limit the specific estimation method. For synthesis, purification, and other scenarios, the production environment temperature can be the highest temperature that the reaction environment can reach during the test.

[0077] For example, each time a self-heating risk assessment is initiated, the material size value and the ambient temperature value of the environment in which the material is located during the actual production process can be detected to obtain the material size value and the ambient temperature value.

[0078] In some embodiments, a self-heating risk assessment can be initiated periodically or triggered automatically. For example, the material size values ​​of the production material and the ambient temperature of the production environment where the material is located can be continuously monitored during the production process. A self-heating risk assessment can be initiated when at least one of the material size values ​​and the ambient temperature values ​​is detected to change.

[0079] In other embodiments, the self-heating risk of the material at each production stage can be detected before the actual production of each material, based on the pre-planned maximum production material size value and maximum production ambient temperature value.

[0080] Step 204: Locate the target operation point in the preset coordinate system based on the size value of the production material and the temperature value of the production environment.

[0081] The preset coordinate system refers to a mathematical coordinate framework pre-established for material risk assessment. One of the two coordinate axes of the preset coordinate system corresponds to the material scale value or a function value of the material scale value, and the other coordinate axis corresponds to the ambient temperature value or a function value of the ambient temperature value.

[0082] As an example, a preset coordinate system can be established with the material size as the x-axis and the ambient temperature as the y-axis.

[0083] As another example, a preset coordinate system can be established with the reciprocal of the ambient temperature as the x-axis and the logarithm of the material scale as the y-axis.

[0084] The target operating point can refer to a coordinate point in a preset coordinate system that represents the current operating condition, determined jointly by the production material size value and the production environment temperature value. For example, assuming a preset coordinate system is established with the material size as the x-axis and the environment temperature as the y-axis, the coordinate point with the production material size value on the x-axis and the production environment temperature value on the y-axis can be determined as the target operating point. Alternatively, assuming a preset coordinate system is established with the reciprocal of the environment temperature as the x-axis and the logarithm of the material size as the y-axis, the coordinate point with the reciprocal of the production environment temperature value on the x-axis and the logarithm of the production material size value on the y-axis can be determined as the target operating point.

[0085] For example, after obtaining the production material size value and the production environment temperature value, the production material size value is converted into one of the horizontal and vertical coordinates in the preset coordinate system according to the definition of the horizontal and vertical coordinates in the preset coordinate system, and the production process temperature value is converted into the other of the horizontal and vertical coordinates in the preset coordinate system. Then, the target operation point is located in the preset coordinate system according to the determined horizontal and vertical coordinates.

[0086] Step 206: Based on the positional relationship between the target operation point and the safety operation curve in the preset coordinate system, conduct a self-heating risk assessment of the material.

[0087] The safe operating curve refers to a pre-calibrated safety boundary curve based on experimental data of the material's self-heating characteristics in a preset coordinate system, used to distinguish between risk areas and safe areas. When the target operating point falls into the risk area, it indicates that the material has a high risk of self-heating under the current material scale and ambient temperature conditions; when the target operating point falls into the safe area, it indicates that the material's self-heating risk is at a low and controllable level under the current material scale and ambient temperature conditions.

[0088] For example, after locating the target operating point in a preset coordinate system, the positional relationship between the target operating point and a pre-stored safety operating curve is determined. By comparing the geometric position of the target operating point relative to the safety operating curve, such as whether it is located inside, outside, above, or below the safety operating curve, the self-heating risk assessment result of the material is output according to a preset judgment logic. If the positional relationship indicates that the target operating point is in a risk area, the material is determined to have a self-heating risk; if the positional relationship indicates that the target operating point is in a safe area, the material is determined to have a low self-heating risk, and no alarm, warning, or intervention measures are required.

[0089] In some embodiments, if it is determined that there is a risk of self-heating in the material, a risk warning signal can be output, or corresponding intervention measures can be automatically triggered, such as starting a cooling device, restricting feeding, or prompting operators to handle the situation in a timely manner.

[0090] In the aforementioned self-heating risk assessment method, the material scale value and the ambient temperature value of the environment in which the material is located during the actual production process are first obtained. These two parameters are key variables determining the balance between oxidation heat release and heat dissipation during the production process. Subsequently, the material scale value and ambient temperature value are mapped to a target operating point in a preset coordinate system. A safe operating curve is pre-constructed within this coordinate system, representing the boundary where oxidation heat generation and heat dissipation reach a critical equilibrium under different combinations of material scale and ambient temperature. Therefore, by understanding the positional relationship between the target operating point and the safe operating curve, the potential heat accumulation trend due to scale effects and environmental coupling can be identified in the early stages before a significant increase in material temperature. Compared to the traditional technology's delayed alarm mode of waiting for an abnormal temperature rise, this application, through proactive condition judgment, can issue an early warning before the self-heating process enters an uncontrollable stage, thus reserving sufficient operating time for process adjustments or cooling interventions, effectively reducing the risk of safety accidents such as fires and explosions.

[0091] In an exemplary embodiment, for different materials, before actual production, it is also necessary to conduct a self-heating risk test to obtain experimental data on the self-heating characteristics of the material, and construct a safe operating curve for the material based on the experimental data on the self-heating characteristics of the material.

[0092] For any given material, the methods for constructing its corresponding safe operating curve include:

[0093] Obtain the target self-heating temperature of the material under multiple test material scale values; construct a safe operation curve based on each test material scale value and each target self-heating temperature value.

[0094] Among them, the test material scale values ​​can refer to multiple specific material scale values ​​that are artificially set during the experiment of constructing the safe operation curve for conducting self-heating tests.

[0095] The target self-heating temperature value can refer to the environmental critical temperature value that causes the material to begin to self-heat at each test material scale, as determined experimentally. This temperature value usually represents the turning point at that material scale where the rate of internal oxidation heat generation begins to exceed the rate of heat dissipation.

[0096] For example, relevant experimental personnel can first set multiple test material scale values ​​based on the actual situation or the pre-planned range of material scale values ​​in the actual production process. For each test material scale value, an automated control system can be used to control the testing device to measure the material according to the test material scale value and perform a self-heating test on the measured material; alternatively, relevant experimental personnel can measure the material according to the test material scale value and perform a self-heating test on the measured material manually. Through the self-heating test, the environmental critical temperature value at which the material begins to self-heat at the test material scale value is determined, and this environmental critical temperature value is determined as the target self-heating temperature value of the material at the test material scale value.

[0097] After determining the target self-heating temperature values ​​corresponding to each of the test material dimensions through self-heating testing, the user can manually input the test material dimensions and their corresponding target self-heating temperatures into the terminal via the input device. Alternatively, the automated control system can send the test material dimensions and their corresponding target self-heating temperatures to the terminal via a communication connection. Based on the received test material dimensions and their corresponding target self-heating temperatures, the terminal locates a data point in a preset coordinate system. Subsequently, it connects these discrete data points using methods such as linear fitting, spline interpolation, or curve fitting based on a theoretical model to form a continuous curve, which is the safe operation curve.

[0098] In this embodiment, the target self-heating temperature values ​​at multiple material scales are obtained through an experimental approach, and a scientific and objective safe operation curve is constructed based on this. This improves the accuracy, adaptability, and engineering operability of self-heating risk assessment, and shifts risk assessment from subjective experience judgment to data-supported dynamic quantitative judgment. This lays a solid foundation for the forward-looking prevention and control of self-heating risks in all production stages, including synthesis, storage, and transportation of materials, thereby significantly improving the production safety of flammable substances.

[0099] In one exemplary embodiment, a safe operating curve is constructed based on the scale values ​​of each test material and the target self-heating temperature values, including:

[0100] For each test material scale value, the logarithm of the test material scale value is used as the ordinate, and the reciprocal of the target self-heating temperature value of the material under the test material scale value is used as the abscissa to locate the fitting point in the preset coordinate system; linear fitting is performed on each fitting point to obtain the safe operation curve.

[0101] It should be noted that for many flammable materials, the relationship between material size and autothermal temperature is typically non-linear. Directly fitting a curve using material size as the ordinate and ambient temperature as the abscissa not only involves complex calculations but also often results in low fitting accuracy, leading to discrepancies between the defined safety boundary and the material's actual autothermal characteristics. This discrepancy may unduly expand the safety zone, creating potential safety hazards, or it may overestimate the risk zone, resulting in unnecessary production restrictions.

[0102] To address this issue, extensive testing and research revealed that taking the logarithm of the material dimensions and the reciprocal of the self-heating temperature after converting it to thermodynamic temperature, both exhibit a highly linear correlation under the transformed coordinate system. This finding effectively reveals the intrinsic coupling mechanism between oxidation kinetics and heat dissipation characteristics during the material's self-heating process, providing a simple and reliable mathematical foundation for constructing high-precision, highly robust, and safe operating curves.

[0103] The fitting point can refer to a coordinate point in a preset coordinate system that is determined by the logarithm of the test material's scale value and the reciprocal of the target self-heating temperature value.

[0104] For example, after receiving each test material scale value and its corresponding target self-heating temperature value, the terminal calculates the logarithm of the test material scale value as the ordinate parameter, converts the target self-heating temperature value into a thermodynamic temperature value, and calculates the reciprocal of the thermodynamic temperature value as the abscissa parameter. Then, in a preset coordinate system (the abscissa is defined as the reciprocal of the temperature value, and the ordinate is defined as the logarithm of the material scale value), a coordinate point is located using the calculated abscissa and ordinate parameters; this coordinate point is the point to be fitted. This operation is performed on all test material scale values ​​one by one, ultimately forming a set of points to be fitted in the preset coordinate system. Subsequently, using this set of points to be fitted as the input dataset, a linear regression algorithm is used for linear fitting to obtain an optimal fitted line, which is then determined as the safe operating curve.

[0105] In this embodiment, by transforming the coordinates of the test material scale values ​​(logarithmic) and the target self-heating temperature values ​​(reciprocal), the nonlinear physical laws implicit in the material's self-heating critical condition are converted into a linear relationship. This allows for the construction of a safe operating curve using a simple and robust linear fitting method, effectively overcoming the shortcomings of traditional nonlinear fitting methods, such as strong model dependence, computational complexity, and weak anti-interference capabilities. Furthermore, the linear relationship facilitates statistical verification and reasonable extrapolation, enhancing the applicability and engineering practicality of the safe operating curve across a wide range of operating conditions. This provides a high-confidence quantitative benchmark for subsequent self-heating risk assessment, thereby significantly improving the production safety of flammable materials.

[0106] In an exemplary embodiment, a self-heating risk assessment of the material is performed based on the positional relationship between the target operating point and the safe operating curve in a preset coordinate system, including:

[0107] If the target operating point is located in the negative region of the safe operating curve in the preset coordinate system, it is determined that the material does not have a risk of self-heating; if the target operating point is located in the positive region of the safe operating curve in the preset coordinate system, it is determined that the material has a risk of self-heating.

[0108] For the linear safety operation curve, the preset coordinate system is divided into two regions, located on either side of the curve. Since the larger the material size or the higher the ambient temperature, the greater the risk of self-heating. Based on this principle, in the preset coordinate system, when the material size is fixed, if the actual ambient temperature is higher than the self-heating temperature corresponding to the same material size on the safety operation curve, it indicates that the current ambient temperature has exceeded the critical value for self-heating, and the material may have a high risk of self-heating. Conversely, if the actual ambient temperature is lower than the self-heating temperature corresponding to the same material size on the curve, it indicates that the current ambient temperature has not yet reached the critical value, and the risk of self-heating is relatively low. Similarly, when the temperature is fixed, if the actual material size is higher than the material size corresponding to the same temperature on the safety operation curve, it indicates that the current material accumulation has exceeded the critical value for self-heating, and the material may have a high risk of self-heating. Conversely, if the actual material size is lower than the material size corresponding to the same material size on the curve, it indicates that the current material accumulation has not yet reached the critical value, and the risk of self-heating is relatively low. Based on this judgment logic, the side of the safe operation curve corresponding to both the ambient temperature value and the material size value being below the critical value can be defined as the negative region, which indicates that the material is in a safe state; the side corresponding to both the ambient temperature value and the material size value being above the critical value can be defined as the positive region, which indicates that the material has a risk of self-heating.

[0109] For example, such as Figure 3 As shown, the right side is the positive x-axis of the preset coordinate system, 1 / T represents the reciprocal of the temperature value, the top is the positive y-axis of the preset coordinate system, ln(m) represents the logarithm of the material scale value, and the safety operation curve 302 is a straight line extending from the lower left to the upper right. Therefore, the upper left region of the safety operation curve 302 is the positive region 304, and the lower right region is the negative region 306.

[0110] For example, after locating the target operating point, the coordinates of the target operating point in a preset coordinate system are obtained, and pre-stored safety operating curve data is retrieved. Then, through geometric calculations or numerical comparisons, the orientation of the target operating point relative to the safety operating curve is determined. If the calculation result shows that the target operating point falls within a predefined negative region, it is determined that the current material does not have a self-heating risk and can continue normal operation without triggering an alarm. If the calculation result shows that the target operating point falls within a predefined positive region, it is determined that the current material has a self-heating risk.

[0111] In this embodiment, a preset coordinate system is divided into negative and positive regions using a safe operating curve. This integrates the coupled influence of two key variables—material scale and ambient temperature—into a unified, visualized, and quantitative criterion. When the target operating point is located in the negative region, it indicates that the current operating condition is within the safety boundary, and production can operate normally at the existing scale without limiting capacity due to excessive concerns about self-heating risks. This balances production efficiency and economy while ensuring safety. When the target operating point falls into the positive region, potential risks can be identified before the actual temperature rise, and early warnings or automatic intervention measures can be issued, such as reducing the ambient temperature or decreasing the amount of material piled up. After intervention, the target operating point can be repositioned based on the adjusted ambient temperature and material scale until it returns to the negative region and the risk is confirmed to be eliminated, at which point safe production can resume or continue.

[0112] In an exemplary embodiment, the test material scale values ​​include a first test material scale value and a plurality of second test material scale values, wherein the first test material scale value is greater than each of the second test material scale values; obtaining the target self-heating temperature value of the material under the plurality of test material scale values ​​includes:

[0113] Obtain the first test temperature value;

[0114] The control testing device measures the first test material corresponding to the first test material according to the first test material scale value, and detects whether the first test material has a self-heating phenomenon at the first test temperature value.

[0115] If the first test material exhibits self-heating at the first test temperature value, the first test temperature value is reduced by a preset first adjustment step to obtain a new first test temperature value, and the process returns to the step of detecting whether the first test material exhibits self-heating at the first test temperature value.

[0116] If the first test material does not exhibit self-heating at the first test temperature value, then the first test temperature value is increased by a preset second adjustment step to obtain the second test temperature value. The preset second adjustment step is smaller than the preset first adjustment step.

[0117] The control and testing device detects whether the first test material exhibits self-heating at the second test temperature value;

[0118] If the first test material does not exhibit self-heating at the second test temperature, the second test temperature is increased by a preset second adjustment step to obtain a new second test temperature, and the process returns to the step of the control test device to detect whether the first test material exhibits self-heating at the second test temperature.

[0119] If the first test material exhibits self-heating at the second test temperature, then the target self-heating temperature value of the material at the first test material scale value is determined based on the second test temperature value.

[0120] The target self-heating temperature value of the material under the first test material scale value is determined as the third test temperature value. The second test material scale value is determined in descending order. The second test material corresponding to the material is obtained according to the second test material scale value.

[0121] The control and testing device detects whether the second test material exhibits self-heating at the third test temperature.

[0122] If the second test material does not exhibit self-heating at the third test temperature, the third test temperature is increased by the preset second adjustment step to obtain a new third test temperature, and the process returns to the step of the control test device to detect whether the second test material exhibits self-heating at the third test temperature.

[0123] If the second test material exhibits self-heating at the third test temperature, then the target self-heating temperature of the material at the second test material scale value is determined based on the third test temperature.

[0124] The target self-heating temperature value of the material under the second test material scale value is determined as the third test temperature value, and the process of determining the target self-heating temperature value as the third test temperature value is repeated until the target self-heating temperature value corresponding to each of the second test material scale values ​​has been determined.

[0125] The target self-heating temperature measurement process includes multiple sub-processes, each used to detect the target self-heating temperature of the material at one of the test material scale values. These sub-processes are executed sequentially according to the test material scale value they detect, from highest to lowest. For example, assuming the target self-heating temperature of the material needs to be detected at three test material scale values ​​of 50g, 200g, and 500g, the target self-heating temperature measurement process includes sub-process P1 for detecting the target self-heating temperature of 50g material, sub-process P2 for detecting the target self-heating temperature of 200g material, and sub-process P3 for detecting the target self-heating temperature of 500g material, executed in the order of P3, P2, and P1.

[0126] The first sub-process for determining the target self-heating temperature includes a cooling coarse adjustment stage and a heating fine adjustment stage. In the cooling coarse adjustment stage, the temperature is gradually reduced with a large step size, allowing the material to quickly transition from its initial self-heating state to a temperature range where self-heating does not occur, thus efficiently approaching the critical range. Subsequently, in the heating fine adjustment stage, the temperature is increased in reverse with a smaller step size to accurately search for the critical temperature value at which the material transitions from non-self-heating to self-heating.

[0127] For the subsequent sub-process of determining the target self-heating temperature, since the self-heating temperature of the previous scale has been used as a reference starting point, it can start directly from the temperature rise fine-tuning stage without repeating the coarse-tuning process.

[0128] The first test material can refer to the material sample obtained by weighing or measuring according to the first test material scale value, which is used to load into the testing device for experimentation. The first test material scale value can be determined based on the actual situation or the production material scale value of the material in the actual production process.

[0129] In some embodiments, the size of the first test material is not less than 500g. If the size of the first test material is too small, the sample's own heat capacity is insufficient, and the trace heat released by the oxidation reaction is easily dissipated rapidly through the container wall or air convection, causing the self-heating phenomenon that should occur to be suppressed and unable to be effectively observed and captured under laboratory conditions. Extensive experimental verification has shown that when the size of the first test material is selected to be not less than 500g, the fitted safe operating curve can accurately characterize the self-heating characteristics of the material at actual production scale, providing a reliable basis for industrial production safety.

[0130] The first test temperature value can refer to the test temperature value set during the coarse-tuning phase of cooling. The first test temperature value is a dynamically updated temperature variable during this phase. The initial first test temperature value can be selected based on empirical estimates or theoretical calculations.

[0131] The second test temperature value can refer to the test temperature value set during the temperature rise and fine-tuning phase. The second test temperature value is a temperature variable that is dynamically updated during the temperature rise and fine-tuning process.

[0132] The preset first adjustment step size can refer to a relatively large temperature adjustment interval set during the coarse cooling adjustment phase to quickly approach the critical self-heating temperature. For example, the first adjustment step size can be set to 10K.

[0133] The preset second adjustment step size refers to a small temperature adjustment interval set during the temperature rise fine-tuning stage to accurately determine the critical value of the self-heating temperature. For example, the second adjustment step size can be set to 2-5K.

[0134] The target self-heating temperature determination process is carried out in a testing device. The testing device can refer to experimental equipment used to simulate the accumulation state of materials in actual production and to controllably regulate the ambient temperature and monitor whether the materials undergo a self-heating reaction. In some embodiments, the testing device may include a temperature-controlled chamber, a material container, and a temperature sensor, etc.

[0135] The third test temperature value can refer to the test temperature value set when measuring the target self-heating temperature under the new test material scale value after switching test material scale values. The initial third test temperature value is equal to the target self-heating temperature value corresponding to the previously measured test material scale value.

[0136] The second test material scale value can refer to other material scale values ​​that need to be tested after the first test material scale value has been tested. They are usually selected in descending order.

[0137] The second test material can refer to a material sample obtained by accurately measuring according to the scale value of the second test material and used for loading into the test device for experimentation.

[0138] For example, such as Figure 4 As shown, a temperature value can be initially determined as the first test temperature value based on the physical and chemical properties of the material or historical experience.

[0139] Then, it is determined whether the first test material exhibits self-heating at the first test temperature. Specifically, based on the dimensions of the first test material, a corresponding amount of material is loaded into the testing device as the first test material. The temperature control system of the testing device is then set to stabilize the ambient temperature of the first test material at the first test temperature. After a preset temperature stabilization time has elapsed, the temperature value of the first test material and the ambient temperature of the first test material are detected by a temperature sensor, and the values ​​of the material temperature value and the ambient temperature value are compared. If the material temperature value stabilizes below the ambient temperature value, it is determined that the material does not exhibit self-heating at the first test temperature; if the material temperature value continues to rise above the ambient temperature value, it is determined that the material exhibits self-heating at the first test temperature.

[0140] If the first test material exhibits self-heating at the first test temperature, then the preset first adjustment step size is subtracted from the current first test temperature, and the calculated result is used as the new first test temperature. Then, keeping the first test material unchanged, or refilling it with new material of the same size, the temperature of the testing device is set to the new first test temperature, and the self-heating phenomenon of the first test material at the new first test temperature is re-tested until a first test temperature without self-heating is found.

[0141] If the first test material does not exhibit self-heating at the first test temperature, a larger first adjustment step size is no longer used; instead, a more precise second adjustment step size is employed. The current first test temperature value is added to the preset second adjustment step size, and the calculated result is used as the second test temperature value.

[0142] Then, the first test material is tested to determine whether it exhibits self-heating at the second test temperature. Specifically, the first test material is kept unchanged, or new material of the same size is refilled, and the temperature of the testing device is set to the second test temperature, so that the ambient temperature of the first test material stabilizes at the second test temperature. After a preset temperature stabilization time is reached, the temperature value of the first test material and the ambient temperature of the first test material are detected by a temperature sensor, and the values ​​of the material temperature value and the ambient temperature value are compared. If the material temperature value stabilizes below the ambient temperature value, it is determined that the material does not exhibit self-heating at the second test temperature; if the material temperature value continues to rise above the ambient temperature value, it is determined that the material exhibits self-heating at the second test temperature.

[0143] If the first test material does not exhibit self-heating at the second test temperature, a preset second adjustment step size is added to the current second test temperature, and the calculated result is used as the new second test temperature. Then, keeping the first test material unchanged, or refilling it with new material of the same size, the temperature of the testing device is set to the new second test temperature, and the self-heating phenomenon of the first test material is re-detected at the new second test temperature until a second test temperature value where self-heating is found.

[0144] If the first test material exhibits self-heating at the second test temperature, the iteration stops. The second test temperature used in this round of testing is recorded. Based on the recorded second test temperature, the target self-heating temperature corresponding to the scale value of the first test material is determined. At this point, the data point determination for the first test material scale is complete.

[0145] Subsequently, the target self-heating temperature value measured at the previous test material scale is used as the starting third test temperature value for the next test material scale. Then, from the preset list of test scales, the next test material scale value is selected in descending order as the second test material scale value. Finally, based on the second test material scale value, the corresponding amount of material is refilled into the testing device to obtain the second test material.

[0146] Then, the second test material is tested to determine whether it exhibits self-heating at the third test temperature. Specifically, the temperature control system of the testing device is set to stabilize the ambient temperature of the second test material at the third test temperature. After a preset temperature stabilization time is reached, the temperature of the second test material and the ambient temperature of the second test material are detected by temperature sensors, and the values ​​of the material temperature and the ambient temperature are compared. If the material temperature remains below the ambient temperature, it is determined that the material does not exhibit self-heating at the third test temperature; if the material temperature continues to rise above the ambient temperature, it is determined that the material exhibits self-heating at the third test temperature.

[0147] If the second test material does not exhibit self-heating at the third test temperature, a preset second adjustment step size is added to the current third test temperature, and the calculated result is used as the new third test temperature. Then, keeping the second test material unchanged, or refilling it with new material of the same size, the temperature of the testing device is set to the new third test temperature, and the self-heating phenomenon of the second test material at the new third test temperature is re-detected until a third test temperature at which self-heating is found is found.

[0148] If the second test material exhibits self-heating at the third test temperature, the iteration stops. The third test temperature used in this round of testing is recorded. Based on the recorded third test temperature, the target self-heating temperature corresponding to the second test material's scale value is determined. At this point, the data point determination for the second material scale is complete.

[0149] For each subsequent material scale, the same method as the second material scale can be used to determine the target self-heating temperature value of the material at each second test material scale value.

[0150] In some embodiments, the preset temperature stabilization time can be 5-20 minutes.

[0151] In some embodiments, the number of second test material scale values ​​is 2. A larger second test material scale value is 30%-50% of the first test material scale value. A smaller second test material scale value is 10%-25% of the first test material scale value.

[0152] In some embodiments, if the first test material is obtained by producing the same production line as the material in the actual production process, the self-heating characteristics of the material determined during the test are almost the same as the self-heating characteristics of the material in the production process.

[0153] In this case, determining the target self-heating temperature value corresponding to the first test material scale value based on the recorded second test temperature value includes: determining the recorded second test temperature value as the target self-heating temperature value corresponding to the first test material scale value.

[0154] Based on the recorded third test temperature value, the target self-heating temperature value corresponding to the second test material scale value is determined, including: determining the recorded third test temperature value as the target self-heating temperature value corresponding to the second test material scale value.

[0155] In other embodiments, if the first test material is obtained by producing it on a different production line than the material in the actual production process, the self-heating characteristics of the material determined during the test process may deviate from the self-heating characteristics of the material in the production process.

[0156] In this case, based on the recorded second test temperature value, the target self-heating temperature value corresponding to the first test material scale value is determined, including: subtracting the recorded second test temperature value from the preset fourth adjustment step size, and determining the difference as the target self-heating temperature value corresponding to the first test material scale value.

[0157] Based on the recorded third test temperature value, the target self-heating temperature value corresponding to the second test material scale value is determined, including: subtracting the recorded third test temperature value from the preset fourth adjustment step size, and determining the difference as the target self-heating temperature value corresponding to the second test material scale value.

[0158] In some embodiments, the preset fourth adjustment step size can be 10-30K.

[0159] In some embodiments, the test material can be wrapped in a spherical shape using a metal wire mesh with a mesh size smaller than that of the test material particles and suspended in the center of a temperature-controlled air environment inside the test device to avoid errors in the test results caused by the temperature of the inner wall of the test device.

[0160] In this embodiment, a larger adjustment step size is first used to quickly approximate the approximate range of the self-heating temperature, and then a smaller adjustment step size is used for fine searching. This ensures testing efficiency while accurately capturing the critical temperature value that triggers self-heating, avoiding the problems of missing the critical point due to an excessively large step size or having an excessively long testing cycle due to an excessively small step size. Simultaneously, by using the self-heating temperature measured at the previous scale as the starting search point for the next scale test, and conducting tests in descending order of scale, the correlation between material scale and self-heating temperature is fully utilized, significantly reducing the search time and number of trials at each new scale, thus improving the efficiency of the entire testing process.

[0161] In one exemplary embodiment, obtaining a first test temperature value includes:

[0162] Obtain the initial test material corresponding to the material, and perform programmed heating on the initial test material. During the programmed heating process, monitor the material temperature value of the initial test material and the ambient temperature value of the environment in which the initial test material is located. The material temperature value at which the material temperature value of the initial test material is first equal to the ambient temperature value of the environment in which the initial test material is located is determined as the initial self-heating temperature value. The initial self-heating temperature value is reduced according to the preset third adjustment step size to obtain the first test temperature value.

[0163] The initial test material can refer to the test sample prepared to determine the initial first test temperature value. The material size can be selected according to the capacity of the test device and the test requirements. This embodiment does not impose any restrictions on this.

[0164] In some embodiments, the material size of the initial test material can be 100-200g.

[0165] Programmed heating refers to the process of controlling the ambient temperature of a testing device to rise linearly or stepwise over time according to a preset heating rate and heating program.

[0166] In some embodiments, the preset heating rate can be 1~10K / min.

[0167] The initial self-heating temperature value can refer to the material temperature and ambient temperature values ​​when the material temperature first equals the ambient temperature value during the programmed heating process.

[0168] The preset third adjustment step size can refer to the temperature interval set for downward adjustment after obtaining the initial self-heating temperature value in order to approach the critical value of self-heating temperature.

[0169] In some embodiments, the preset third adjustment step size is larger than the preset second adjustment step size. The preset third adjustment step size can be set to a large fixed value, such as 50K; or it can be set to a dynamic value that is proportional to the initial self-heating temperature value, such as 20% of the initial self-heating temperature value.

[0170] For example, firstly, an appropriate amount of material is weighed as the initial test material according to the capacity of the testing device and loaded into the testing device. Then, according to the preset temperature control program, the testing device is started and the programmed temperature rise begins. During the temperature rise process, the material temperature value and the ambient temperature value are continuously collected by a temperature sensor.

[0171] In some embodiments, during the programmed heating process, the currently collected material temperature value and ambient temperature value can be compared in real time. When the material temperature value is first detected to be equal to the ambient temperature value, at least one of the material temperature value and the ambient temperature value at this time is recorded and determined as the initial self-heating temperature value.

[0172] In other embodiments, after the programmed heating experiment is completed, all recorded material temperature data and ambient temperature data can be retrieved. The two temperature curves are plotted on the same coordinate system, and the coordinate point where the two temperature curves first intersect is found. At least one of the material temperature value and ambient temperature value corresponding to that coordinate point is read, and the material temperature value or ambient temperature value corresponding to that coordinate point is determined as the initial self-heating temperature value.

[0173] After determining the initial self-heating temperature value, the preset third adjustment step size is subtracted from the initial self-heating temperature value, and the difference is determined as the first test temperature value.

[0174] In this embodiment, by using programmed heating experiments and identifying the first isothermal point, the critical temperature value at which the material is at risk of self-heating can be initially captured during a single continuous heating process, eliminating the need for multiple trial tests and thus significantly improving testing efficiency.

[0175] In one exemplary embodiment, the highest temperature value of the programmed heating is higher than the highest heat source temperature that the material can come into contact with during actual production.

[0176] First, the highest heat source temperature that the material may be exposed to during its entire actual production process can be investigated or measured. Based on this, the control parameters for the programmed temperature rise experiment are set, and the highest temperature value of the temperature rise program is set to be higher than this highest heat source temperature value.

[0177] In some embodiments, the difference between the highest temperature value of the heating program and the highest heat source temperature value can be 50-150K, such as 50K, 100K, 150K, etc.

[0178] In this embodiment, by setting the maximum temperature of the programmed heating to be higher than the highest heat source temperature that may be encountered in actual production, an advanced assessment and safety margin verification of the material's self-heating characteristics is achieved. Because the testing range comprehensively covers actual operating conditions, it can fully capture potential risks lurking at the edge of actual operating conditions during the testing phase, further improving production safety. Furthermore, for the same material, if testing is only conducted at temperatures equal to actual operating conditions, the original test data may become invalid if the production process is adjusted or the application scenario changes. However, this embodiment uses a temperature higher than the actual heat source for testing, and the obtained self-heating characteristic data can cover a wider range of applications, reducing the need for repeated testing due to minor adjustments in operating conditions.

[0179] In an exemplary embodiment, a device for producing vitamin A has a maximum heat source of 4 barG steam, corresponding to a temperature of 152°C. The maximum material throughput in the reaction stage is 400 kg, with a maximum temperature of 80°C. The maximum throughput in the drying stage is 1 t, with a maximum temperature of 60°C. During storage and transportation, the vitamin A is packaged in small bags, each weighing 50 kg. The highest possible ambient temperature during transportation is 70°C. Before the device is put into operation, a self-heating risk assessment is conducted on samples produced in a small-scale trial.

[0180] 100g of material was placed in an air environment where the temperature was steadily increased at a rate of 4K / min for a programmed temperature rise experiment. The scanning experiment was terminated when the ambient temperature reached the preset temperature of 252℃. During the scanning experiment, the changes in ambient temperature and sample center temperature over time were recorded. Based on the recorded ambient temperature and sample center temperature, two temperature curves were generated on the same coordinate system, as shown below. Figure 5 As shown, the sample temperature gradually increases with the increase of ambient temperature. When the ambient temperature rises to 151℃, the sample temperature is equal to the ambient temperature for the first time. Therefore, the first test temperature value of the sample is 151℃.

[0181] Subsequently, samples were taken at a scale of 500g according to the first test material. The sampled test material was placed at a constant ambient temperature of 101℃ (151℃-50℃). The sample center temperature was monitored and found to be stable at 99.4℃. After the sample center temperature stabilized for 5-20 minutes, the ambient temperature was increased to 106℃ and maintained at a constant temperature. The sample center temperature was monitored and found to be stable at 105.3℃. After the sample center temperature stabilized for 5-20 minutes, the ambient temperature was increased to 111℃ and maintained at a constant temperature. The sample center temperature was monitored and found to be stable at 110.6℃. After the sample center temperature stabilized for 5-20 minutes, the ambient temperature was increased to 116℃ and maintained at a constant temperature. The sample center temperature was monitored and found to be stable at 115.8℃. After the sample center temperature stabilized for 5-20 minutes, the ambient temperature was increased to 121℃ and maintained at a constant temperature. The sample center temperature was monitored and stabilized at 120.9℃. After stabilizing for 5-20 minutes, the ambient temperature was raised to 126℃ and maintained at a constant temperature. The sample center temperature was monitored and stabilized at 126℃. After stabilizing for 5-20 minutes, the ambient temperature was raised to 131℃ and maintained at a constant temperature. The sample center temperature was monitored and gradually increased, exceeding 131℃. This ambient temperature of 131℃ was recorded as the target self-heating temperature T1 for the first test material scale value.

[0182] A sample of 200g was taken from the higher second test material size value. The sampled test material was placed at a constant ambient temperature of 131℃, and the ambient temperature was gradually increased until the sample temperature exceeded the ambient temperature. Finally, when the ambient temperature reached 136℃, the sample center temperature first exceeded the ambient temperature. This ambient temperature of 136℃ was recorded as the target self-heating temperature value T2 for the second test material size value of 200g.

[0183] A sample of 50g was taken from the lower second test material size value. The sampled test material was placed at a constant ambient temperature of 136℃, and the ambient temperature was gradually increased until the sample temperature exceeded the ambient temperature. Finally, when the ambient temperature reached 146℃, the sample center temperature first exceeded the ambient temperature. This ambient temperature of 146℃ was recorded as the target self-heating temperature value T3 for the second test material size value of 50g.

[0184] Since the above experiments used materials produced in a small-scale research phase, the target self-heating temperature values ​​corresponding to each of the three material scales were subtracted by 20K to obtain the final target self-heating temperature values ​​for each of the three material scales. Therefore, the target self-heating temperature value corresponding to the first test material scale value of 500g is 111℃, the target self-heating temperature value corresponding to the second test material scale value of 200g is 116℃, and the target self-heating temperature value corresponding to the third test material scale value of 50g is 126℃.

[0185] Regressing to the logarithm of mass and the reciprocal of the target autothermal temperature at three material scales, the relationship curve between the two is obtained, and extended to obtain... Figure 6 The safety operation curve shown is as follows. Figure 6 The horizontal axis 1000 / T represents the reciprocal of the ambient thermodynamic temperature multiplied by 1000, where K represents the thermodynamic temperature in Kelvin. The vertical axis ln(m) represents the logarithm of the material mass, where g represents the unit in grams. Based on the material handling volume and operating temperature during the reaction, drying, and material transportation stages, it is determined that the system exhibits significant self-heating issues after the fluidization phase is interrupted during the reaction stage, requiring intervention through effective design methods or engineering measures.

[0186] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0187] Based on the same inventive concept, this application also provides a self-heating risk assessment device for implementing the self-heating risk assessment method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations of one or more self-heating risk assessment device embodiments provided below can be found in the limitations of the self-heating risk assessment method described above, and will not be repeated here.

[0188] In one exemplary embodiment, such as Figure 7 As shown, a self-heating risk assessment device is provided, including: an acquisition module 702, a positioning module 704, and a detection module 706, wherein:

[0189] The acquisition module 702 is used to acquire the production material size value of the material in the actual production process, and the production environment temperature value of the environment in which the material is located in the actual production process.

[0190] The positioning module 704 is used to locate the target operation point in a preset coordinate system based on the size value of the production material and the temperature value of the production environment.

[0191] The detection module 706 is used to assess the self-heating risk of materials based on the positional relationship between the target operation point and the safety operation curve in the preset coordinate system.

[0192] In one exemplary embodiment, the self-heating risk assessment device further includes a construction module, which is used for:

[0193] Obtain the target self-heating temperature of the material under multiple test material scale values;

[0194] Based on the dimensional values ​​of each test material and the self-heating temperature values ​​of each target, a safe operation curve is constructed.

[0195] In one exemplary embodiment, the building module is further configured to:

[0196] For each test material scale value, the logarithm of the test material scale value is used as the vertical axis, and the reciprocal of the target self-heating temperature value of the material under the test material scale value is used as the horizontal axis to locate the fitting point in the preset coordinate system.

[0197] Linear fitting is performed on each point to be fitted to obtain the safe operation curve.

[0198] In one exemplary embodiment, the detection module 706 is further configured to:

[0199] If the target operating point is located in the negative region of the safe operating curve in the preset coordinate system, it is determined that the material does not have a risk of self-heating.

[0200] If the target operating point is located in the positive region of the safe operating curve in the preset coordinate system, then the material is determined to have a risk of self-heating.

[0201] In an exemplary embodiment, the test material scale value includes a first test material scale value and a plurality of second test material scale values, wherein the first test material scale value is greater than each of the second test material scale values; the construction module is further configured to:

[0202] Obtain the first test temperature value;

[0203] The control testing device measures the first test material corresponding to the first test material according to the first test material scale value, and detects whether the first test material has a self-heating phenomenon at the first test temperature value.

[0204] If the first test material exhibits self-heating at the first test temperature value, the first test temperature value is reduced by a preset first adjustment step to obtain a new first test temperature value, and the process returns to the step of detecting whether the first test material exhibits self-heating at the first test temperature value.

[0205] If the first test material does not exhibit self-heating at the first test temperature value, then the first test temperature value is increased by a preset second adjustment step to obtain the second test temperature value. The preset second adjustment step is smaller than the preset first adjustment step.

[0206] The control and testing device detects whether the first test material exhibits self-heating at the second test temperature value;

[0207] If the first test material does not exhibit self-heating at the second test temperature, the second test temperature is increased by a preset second adjustment step to obtain a new second test temperature, and the process returns to the step of the control test device to detect whether the first test material exhibits self-heating at the second test temperature.

[0208] If the first test material exhibits self-heating at the second test temperature, then the target self-heating temperature value of the material at the first test material scale value is determined based on the second test temperature value.

[0209] The target self-heating temperature value of the material under the first test material scale value is determined as the third test temperature value. The second test material scale value is determined in descending order. The second test material corresponding to the material is obtained according to the second test material scale value.

[0210] The control and testing device detects whether the second test material exhibits self-heating at the third test temperature.

[0211] If the second test material does not exhibit self-heating at the third test temperature, the third test temperature is increased by the preset second adjustment step to obtain a new third test temperature, and the process returns to the step of the control test device to detect whether the second test material exhibits self-heating at the third test temperature.

[0212] If the second test material exhibits self-heating at the third test temperature, then the target self-heating temperature of the material at the second test material scale value is determined based on the third test temperature.

[0213] The target self-heating temperature value of the material under the second test material scale value is determined as the third test temperature value, and the process of determining the target self-heating temperature value as the third test temperature value is repeated until the target self-heating temperature value corresponding to each of the second test material scale values ​​has been determined.

[0214] In one embodiment, the building module is also used for:

[0215] Obtain the initial test material corresponding to the material, perform programmed heating on the initial test material, and monitor the material temperature value of the initial test material and the ambient temperature value of the environment in which the initial test material is located during the programmed heating process.

[0216] The material temperature value at which the initial test material temperature value is first detected to be equal to the ambient temperature value of the environment in which the initial test material is located is determined as the initial self-heating temperature value.

[0217] According to the preset third adjustment step, the initial self-heating temperature value is reduced to obtain the first test temperature value.

[0218] In one exemplary embodiment, the highest temperature value of the programmed heating is higher than the highest heat source temperature that the material can come into contact with during actual production.

[0219] Each module in the aforementioned self-heating risk assessment device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0220] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 8 As shown, the computer device includes a processor, memory, input / output interfaces, a communication interface, a display unit, and an input device. The processor, memory, and input / output interfaces are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The input / output interfaces are used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When executed by the processor, the computer program implements a self-heating risk assessment method. The display unit is used to form a visually visible image and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0221] Those skilled in the art will understand that Figure 8The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0222] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0223] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above method embodiments.

[0224] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0225] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0226] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0227] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0228] The above embodiments are merely illustrative of several implementation methods of this application, and their descriptions are relatively specific and detailed. However, they should not be construed as limiting the scope of this application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for assessing self-heating risk, characterized in that, The method includes: Obtain the material dimension values ​​of the material in the actual production process, and the production environment temperature values ​​of the environment in which the material is located during the actual production process; Based on the dimensions of the production materials and the temperature of the production environment, locate the target operation point in the preset coordinate system; The self-heating risk of the material is assessed based on the positional relationship between the target operation point and the safety operation curve in the preset coordinate system.

2. The method according to claim 1, characterized in that, The method further includes: Obtain the target self-heating temperature value of the material under multiple test material scale values; Based on the scale values ​​of each test material and the target self-heating temperature values, a safe operation curve is constructed.

3. The method according to claim 2, characterized in that, The construction of a safe operating curve based on the scale values ​​of each of the test materials and the target self-heating temperature values ​​includes: For each test material scale value, the logarithm of the test material scale value is used as the vertical axis, and the reciprocal of the target self-heating temperature value of the material under the test material scale value is used as the horizontal axis to locate the fitting point in the preset coordinate system. Linear fitting is performed on each of the points to be fitted to obtain the safe operation curve.

4. The method according to claim 3, characterized in that, The step of assessing the self-heating risk of the material based on the positional relationship between the target operating point and the safety operating curve in the preset coordinate system includes: If the target operation point is located in the negative region of the safe operation curve in the preset coordinate system, then it is determined that the material does not have a risk of self-heating. If the target operation point is located in the positive region of the safe operation curve in the preset coordinate system, then it is determined that the material has a risk of self-heating.

5. The method according to claim 2, characterized in that, The test material scale value includes a first test material scale value and a plurality of second test material scale values, wherein the first test material scale value is greater than each of the second test material scale values; The step of obtaining the target self-heating temperature value of the material under multiple test material scale values ​​includes: Obtain the first test temperature value; The control testing device measures the first test material corresponding to the first test material according to the first test material scale value, and detects whether the first test material has a self-heating phenomenon at the first test temperature value; If the first test material exhibits self-heating at the first test temperature value, the first test temperature value is reduced by a preset first adjustment step to obtain a new first test temperature value, and the process returns to the step of detecting whether the first test material exhibits self-heating at the first test temperature value. If the first test material does not exhibit self-heating at the first test temperature value, the first test temperature value is increased by a preset second adjustment step to obtain a second test temperature value. The preset second adjustment step is smaller than the preset first adjustment step. The control and testing device detects whether the first test material exhibits self-heating at the second test temperature value; If the first test material does not exhibit self-heating at the second test temperature value, the second test temperature value is increased by a preset second adjustment step to obtain a new second test temperature value, and the process returns to the step of the control test device detecting whether the first test material exhibits self-heating at the second test temperature value. If the first test material exhibits self-heating at the second test temperature value, then the target self-heating temperature value of the material at the first test material scale value is determined based on the second test temperature value. The target self-heating temperature value of the material under the first test material scale value is determined as the third test temperature value. The second test material scale value is determined in descending order. The second test material corresponding to the material is obtained according to the second test material scale value. The control and testing device detects whether the second test material exhibits self-heating at the third test temperature value; If the second test material does not exhibit self-heating at the third test temperature, the third test temperature is increased by a preset second adjustment step to obtain a new third test temperature, and the process returns to the step of the control test device detecting whether the second test material exhibits self-heating at the third test temperature. If the second test material exhibits self-heating at the third test temperature, then the target self-heating temperature value of the material at the second test material scale value is determined based on the third test temperature value. The target self-heating temperature value of the material under the second test material scale value is determined as the third test temperature value, and the process of determining the target self-heating temperature value as the third test temperature value is repeated until the target self-heating temperature value corresponding to each of the second test material scale values ​​has been determined.

6. The method according to claim 5, characterized in that, The process of obtaining the first test temperature value includes: Obtain the initial test material corresponding to the material, perform programmed heating on the initial test material, and monitor the material temperature value of the initial test material and the ambient temperature value of the environment in which the initial test material is located during the programmed heating process. The material temperature value at which the initial test material temperature value is first detected to be equal to the ambient temperature value of the environment in which the initial test material is located is determined as the initial self-heating temperature value. According to the preset third adjustment step, the initial self-heating temperature value is reduced to obtain the first test temperature value.

7. The method according to claim 6, characterized in that, The highest temperature value of the program's heating is higher than the highest heat source temperature that the material can come into contact with during actual production.

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 steps of the method according to 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 a processor, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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