Benzene hydrogenation device safety instrument management system based on artificial intelligence

Abstract

The invention relates to the technical field of safety instrument management, and discloses a benzene hydrogenation device safety instrument management system based on artificial intelligence, which comprises a data monitoring module, the data monitoring module uses a sensor to continuously monitor the pressure and temperature change in a benzene hydrogenation device, and sets a standard pressure threshold value and a standard temperature threshold value; when it is monitored that the pressure intensity in the benzene hydrogenation device exceeds the standard pressure intensity threshold value and the temperature does not exceed the standard temperature threshold value, further operation is executed; the parameter creating module is used for creating a temperature change data set, and the temperature change data set is obtained through temperature change in a preset time period before the pressure intensity in the benzene hydrogenation device exceeds a standard pressure intensity threshold value. According to the invention, the recent temperature change when the pressure in the device exceeds the standard can be dynamically analyzed, it is ensured that the temperature change possibly causing the pressure to exceed the standard can be captured in time, and the correlation degree between the pressure exceeding and the temperature rise can be accurately judged.

Description

Technical Field

[0001] The present invention relates to the technical field of safety instrument management, and in particular to a safety instrument management system for a benzene hydrogenation unit based on artificial intelligence. Background Art

[0002] The function of the safety instruments installed on the benzene hydrogenation unit is to use sensors and Internet of Things technology to collect various operating data of the benzene hydrogenation unit in real time in order to manage the safety of the unit during operation. The benzene hydrogenation unit is used to convert benzene into cyclohexane. This process involves high temperature, high pressure and flammable substances, so safety management is crucial.

[0003] For this type of safety instrument management system, the current AI-based simulation and training system can help operators better perform the operation and safety management of the benzene hydrogenation unit through safety instruments, and optimize the operating parameters of the benzene hydrogenation unit through AI algorithms. Regarding safety, the situation where the internal pressure of the unit is too high is basically caused by two aspects: excessive temperature or gas loss of control: excessive temperature is caused by excessive heat release due to rapid reaction speed or cooling system failure, while gas loss of control is caused by exhaust valve failure or compressor failure that introduces too much gas into the unit. However, when the actual safety instrument detects that the pressure is too high, maintenance personnel are still required to conduct on-site inspections and determine the type of problem, which makes the problem handling speed and maintenance efficiency less than ideal.

[0004] To this end, the present invention provides a safety instrument management system for a benzene hydrogenation unit based on artificial intelligence. Summary of the invention

[0005] In view of the problems existing in the above-mentioned prior art, the purpose of the present invention is to provide a safety instrument management system for a benzene hydrogenation unit based on artificial intelligence, so that when the safety instrument shows that the internal pressure of the benzene hydrogenation unit exceeds the standard, it can quickly determine whether the problem of excessive pressure is caused by abnormal temperature inside the unit, and promptly arrange maintenance personnel to perform precise maintenance on the unit.

[0006] In order to achieve the above-mentioned purpose, the present invention provides the following technical solution: a safety instrument management system for a benzene hydrogenation unit based on artificial intelligence, comprising:

[0007] A data monitoring module, wherein the data monitoring module includes using a sensor to continuously monitor the pressure and temperature changes in the benzene hydrogenation device, and setting a standard pressure threshold and a standard temperature threshold, and performing further operations when it is monitored that the pressure in the benzene hydrogenation device exceeds the standard pressure threshold and the temperature does not exceed the standard temperature threshold;

[0008] A parameter creation module, the parameter creation module includes creating a temperature change data set, the temperature change data set is obtained by the temperature change in a preset time period before the pressure in the benzene hydrogenation device exceeds the standard pressure threshold;

[0009] A temperature analysis module, wherein the temperature analysis module dynamically processes the temperature value data of the front section, the middle section and the tail section in the temperature change data group to obtain an incremental temperature value;

[0010] The result judgment module includes using the incremental temperature value to compare with the standard temperature threshold value, and making corresponding judgments according to the comparison results.

[0011] In some embodiments, a specific method for creating a temperature change data group is: obtaining the temperature value data monitored when the pressure in the benzene hydrogenation unit exceeds the standard pressure threshold and within a preset time period before, and recording the temperature value data at fixed intervals, and then dividing the temperature value data into the front section, the middle section and the tail section in chronological order according to the number of recorded temperature value data.

[0012] In some embodiments, when creating a temperature change data group, the temperature value corresponding to the start time of the preset time period is set as the index temperature, and the temperature value at the end time of the preset time period is obtained. The temperature value Et at the end time of the preset time period is subtracted from the temperature value of the index temperature St to obtain a temperature value difference Cz=Et-St. If the obtained temperature value difference Cz is less than or equal to 0, it means that the temperature value in the device has not increased at all during the process of exceeding the pressure standard, and a direct judgment is made that the pressure exceeding the standard is not affected by high temperature. If the obtained temperature value difference Cz is greater than 0, further operations are continued.

[0013] In some embodiments, the specific numerical value and quantity of each temperature value of the front section, middle section and tail section separated in the temperature change data group are obtained, each temperature value is subtracted from the index temperature St, and all the differences obtained in each section are summed and divided by the corresponding number of temperature values ​​to obtain the changed temperature value of each section.

[0014] In some embodiments, the formula for the change in temperature value ΔT in each segment is:

[0015]

[0016] In the above formula, T i represents the ith temperature value in the front, middle or tail section, and n represents the total number of temperature values ​​contained in the front, middle or tail section.

[0017] In some embodiments, the changing temperature values ​​of the front section, middle section and tail section are combined with the dynamic adjustment factor k according to the degree of their proximity to the pressure exceeding time to obtain the corresponding dynamically adjusted temperature change parameters, and the dynamic adjustment factor k includes k1, k2 and k3 sorted from small to large. The front section is to multiply the changing temperature value A1 by the dynamic adjustment factor k1 of the front section to obtain the front section temperature change parameter ZF1=A1×k1, the middle section is to multiply the changing temperature value A2 by the dynamic adjustment factor k2 of the middle section to obtain the middle section temperature change parameter ZF2=A2×k2, and the tail section is to multiply the changing temperature value A3 by the dynamic adjustment factor k3 of the tail section to obtain the tail section temperature change parameter ZF3=A3×k3.

[0018] In some embodiments, a specific method for obtaining an incremental temperature value is: summing the temperature change value parameter ZF1 of the front section, the temperature change value parameter ZF2 of the middle section, and the temperature change parameter ZF3 of the tail section with the index temperature St to obtain an incremental temperature value ZLt=ZF1+ZF2+ZF3+St, and comparing the incremental temperature value with the standard temperature threshold and making a judgment based on the comparison result.

[0019] In some embodiments, the dynamic adjustment factor k allows adjustment according to production conditions during different process time periods of the benzene hydrogenation unit, wherein the production conditions include changes in production load, changes in ambient temperature, reaction rate adjustments, and historical data analysis, so as to adjust the impact of temperature changes according to actual operating conditions.

[0020] In some embodiments, the specific way of making a judgment based on the result is: if the incremental temperature value is less than or equal to the standard temperature threshold, it is judged that the excessive pressure in the device is not caused by an internal high temperature problem; if the incremental temperature value is greater than the standard temperature threshold, it is judged that the excessive pressure in the device is caused by an internal high temperature problem, and the feeding should be stopped immediately to reduce the heat release of the internal reaction of the device, and the maintenance personnel should be notified to focus on troubleshooting and repairing the cooling device system of the device and related components that cause high temperature problems.

[0021] The present invention further provides a computer-readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the above-mentioned artificial intelligence-based safety instrument management system for a benzene hydrogenation unit.

[0022] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:

[0023] First, the present invention can dynamically analyze the recent temperature changes when the pressure in the device exceeds the standard. By increasing the sensitivity of the temperature triggering standard temperature threshold, it ensures that the temperature changes that may cause the pressure to exceed the standard can be captured in time, and can accurately determine the degree of correlation between the pressure exceeding the standard and the temperature rise.

[0024] Secondly, the present invention divides the temperature change data into the front section, the middle section and the tail section, and performs dynamic processing according to the time period close to the pressure exceeding the standard, especially the temperature change close to the time when the pressure exceeds the standard. This method can more accurately locate the source and trend of the temperature anomaly.

[0025] Third, the present invention provides clear fault handling suggestions based on the judgment results. If the pressure exceeds the standard due to reasons other than high temperature, the system automatically instructs to check the exhaust and intake faults; if it is caused by high temperature, cooling measures are taken immediately. This clear guidance reduces the troubleshooting time and improves safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 This is a module schematic diagram of a safety instrument management system for a benzene hydrogenation unit based on artificial intelligence according to the present invention;

[0027] Figure 2 The present invention is a flow chart of a safety instrument management system for a benzene hydrogenation unit based on artificial intelligence. DETAILED DESCRIPTION

[0028] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] It is to be understood that the term "one" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of an element may be one, while in another embodiment, the number of the element may be multiple, and the term "one" should not be understood as a limitation on the quantity.

[0030] See also Figure 1 and Figure 2The present invention provides a safety instrument management system for a benzene hydrogenation unit based on artificial intelligence, the purpose of which is to be able to quickly determine whether the cause of the problem is related to the temperature rise when the safety instrument monitors that the pressure in the benzene hydrogenation unit exceeds the standard. Although the safety instrument will monitor the pressure and temperature changes in the device at the same time, it does not mean that the temperature will also exceed the standard when the pressure exceeds the standard, even if the increase in pressure is caused by the increase in temperature. This is mainly because benzene hydrogenation is an exothermic reaction, and the volume change of the gas or liquid phase generated by the reaction will cause the pressure to change rapidly, and the reactor and its contents usually have a large heat capacity, so that the temperature change needs to absorb or release a large amount of heat, and the heat also needs time to be transferred through the heat transfer wall or other heat transfer medium, which causes the monitored temperature change amplitude to be slower and lagging than the pressure change. At the same time, there is also a temperature rise due to uneven heat transfer or different reaction speeds in local areas of the device. This local high temperature will cause the pressure in the device to increase, but the temperature increase of the overall device monitored by the sensor is limited and may still be within a reasonable range.

[0031] The safety instrument management system includes a data monitoring module, a pressure analysis module, a temperature analysis module and a result judgment module;

[0032] The data monitoring module includes using sensors to continuously monitor the pressure and temperature changes in the benzene hydrogenation unit, and setting standard pressure thresholds and standard temperature thresholds. The standard pressure threshold and the standard temperature threshold can be dynamic thresholds that can change according to the progress of the benzene hydrogenation operation process. When it is monitored that the pressure in the benzene hydrogenation unit exceeds the standard pressure threshold, observe whether the temperature in the unit exceeds the standard temperature threshold. If the pressure and temperature exceed the corresponding standard thresholds at the same time, it is directly determined that the temperature inside the unit has increased abnormally and caused the pressure to exceed the standard; if the temperature does not exceed the standard temperature threshold when the pressure in the benzene hydrogenation unit exceeds the standard, further operations are performed;

[0033] The parameter creation module includes creating a temperature change data group, which is obtained by obtaining the temperature change in a preset time period before the pressure in the benzene hydrogenation device exceeds the standard pressure threshold, specifically the temperature value data obtained in the preset time period, and recording the temperature value data at fixed intervals. Then the temperature change data group is equally divided into the front section, the middle section and the tail section;

[0034] The temperature analysis module includes dynamically processing the temperature value data of the front section, middle section and tail section in the temperature change data group according to the time proximity of the pressure exceeding the standard, and obtaining the incremental temperature value;

[0035] The result judgment module includes using the incremental temperature value to compare with the standard temperature threshold, that is, using the incremental temperature value to trigger the standard temperature threshold of the safety instrument. If the incremental temperature value is less than or equal to the standard temperature threshold, it is judged that the pressure exceeding the standard in the device is not caused by an internal high temperature problem, and the maintenance personnel should be notified to eliminate the inspection of the temperature problem and focus on the exhaust and intake faults in the device. If the incremental temperature value is greater than the standard temperature threshold, it is judged that the pressure exceeding the standard in the device is caused by an internal high temperature problem, and the feeding should be stopped immediately to reduce the reaction and heat release rate inside the device, and the maintenance personnel should be notified to focus on troubleshooting and repairing the cooling device system of the device and related components that cause high temperature problems.

[0036] It should be noted that when creating a temperature change data group, the start time of the preset time period before the pressure in the device exceeds the standard pressure threshold is required to be used as an index temperature. For example, the internal standard pressure and standard temperature of the benzene hydrogenation device in the working state are set to 1000kPa and 150°C respectively, the standard pressure threshold and standard temperature threshold are set to 1100kPa and 175°C respectively, and the preset time period is set to 30s. When the safety instrument monitors that the actual pressure inside the device exceeds the standard pressure threshold of 1100kPa, the temperature change data monitored by the safety instrument in the previous 30 seconds is obtained, and the temperature value is recorded once every 5 seconds, for a total of 6 times, and the temperature value corresponding to the start time of the preset time period is set as the index temperature. For example: when obtaining temperature data within the preset time period of 30s:

[0037] The starting time (i.e., 0 seconds) was 151°C, 5 seconds was 152°C, 10 seconds was 151°C, 15 seconds was 151°C, 20 seconds was 154°C, 25 seconds was 156°C, and 30 seconds was 157°C;

[0038] In the above data, 151°C at 0 seconds is the index temperature, and the 6 temperature values ​​from 5 to 30 seconds are divided into the front section, middle section and tail section in time order. The front section is 152°C and 151°C, the middle section is 151°C and 154°C, and the tail section is 156°C and 157°C.

[0039] At the same time, after creating the temperature change data group, it is necessary to first calculate the difference Cz = Et-St between the temperature value Et at the end of the preset time period and the index temperature St. If the obtained temperature value difference Cz is less than or equal to 0, it means that the temperature value when the pressure inside the device exceeds the standard is less than the temperature value inside the device in the first 30 seconds, which means that the temperature value has not increased at all during the process of exceeding the standard. Therefore, it can be directly ruled out that the pressure exceeds the standard due to the high temperature inside the device and a judgment can be made. If the obtained temperature value difference Cz is greater than 0, continue to perform further operations.

[0040] Next, the specific method for dynamically processing the temperature value data in the temperature change data group is as follows: each temperature value of the front section, middle section and tail section separated from the temperature change data group is subtracted from the index temperature St, and all the differences obtained in each section are averaged to obtain the change temperature values ​​of the front section, middle section and tail section. The specific change temperature value △T in each section is obtained by the formula:

[0041]

[0042] In the above formula, T i represents the ith temperature value in the front section, middle section or tail section, and n represents the total number of temperature values ​​contained in the front section, middle section or tail section. Then, the temperature change values ​​of the front section, middle section and tail section are combined with the dynamic adjustment factor k according to the degree of their proximity to the pressure exceeding time to obtain the corresponding dynamically adjusted temperature change parameters, and the temperature change value parameter ZF1 of the front section, the temperature change value parameter ZF2 of the middle section and the temperature change parameter ZF3 of the tail section are summed with the index temperature St to obtain the incremental temperature value ZLt=ZF1+ZF2+ZF3+St. By comparing the incremental temperature value with the standard temperature threshold, the final comparison result can be obtained and a judgment can be made.

[0043] The dynamic adjustment factor k includes k1, k2 and k3, which are arranged in ascending order. The dynamic adjustment factor k allows dynamic adjustment according to actual conditions in different process time periods of the benzene hydrogenation unit, including adjusting the size of the dynamic adjustment factor k according to the load size when the production load increases or decreases; when the ambient temperature changes significantly, the dynamic adjustment factor k can be adjusted according to the external ambient temperature sonic velocity, and the dynamic adjustment factor k can be adjusted according to the chemical reaction rate and the feed rate. When the reaction rate is accelerated, the dynamic adjustment factor k can be increased, and vice versa; the dynamic adjustment factor k can also be appropriately adjusted based on the historical operation data analysis results of the benzene hydrogenation unit, so that the impact of temperature changes can be adjusted according to the actual operating status, which helps to more accurately manage the behavior of the control system.

[0044] According to the temperature values ​​set in the above example, the front section is 152°C and 151°C, the middle section is 151°C and 154°C, and the tail section is 156°C and 157°C. The temperature values ​​in the temperature change data group of the front section are 152°C and 151°C. The front section contains two temperature values. The two temperature values ​​in the front section are respectively subtracted from the index temperature 151°C to obtain the difference values ​​1 and 0. Then, 1 and 0 are summed and averaged to obtain the change temperature value A1 of the front section as 0.5. The change temperature value A1 is multiplied by the dynamic adjustment factor k1 of the front section to obtain the temperature change parameter ZF1=A1×k1 of the front section. In the same way, the middle section temperature change value A2 is 2, and the temperature change value A2 is multiplied by the dynamic adjustment factor k2 of the middle section to obtain the middle section temperature change parameter ZF2=A2×k2; the tail section temperature change value A3 is 5.5, and the temperature change value A3 is multiplied by the dynamic adjustment factor k3 of the tail section to obtain the tail section temperature change parameter ZF3=A3×k3. Next, k1, k2 and k3 are set to 1.1, 1.4 and 1.7 respectively, and the temperature change parameters of the front section, middle section and tail section are obtained to be 0.55, 2.8 and 9.35 respectively, and the index temperature 151 is summed with the three temperature change parameters to obtain an incremental temperature value of 163.7°C. Since 163.7°C is less than the set standard temperature threshold of 170°C, it can be determined that the reason for the excessive pressure is not due to the high temperature inside the device.

[0045] In this embodiment, another type of judgment is given as follows: the temperature value settings of the front section, middle section and tail section of the temperature change data set are changed to 151°C and 152°C for the front section, 154°C and 158°C for the middle section, and 161°C and 166°C for the tail section. It can be concluded that the temperature change parameters of the front section, middle section and tail section are 0.55, 7 and 21.25 respectively, and the incremental temperature value is 179.8°C obtained by summing the index temperature 151 and the three temperature change parameters. Since 179.8°C is greater than the set standard temperature threshold of 170°C, it can be determined that the excessive pressure inside the device is directly related to the increase in the temperature inside the device.

[0046] The present invention aims to design a safety instrument management system for a benzene hydrogenation unit, which can dynamically and sensitively analyze and perceive the temperature increase in the unit based on the recent changes in the internal temperature of the unit when the safety instrument monitors that the internal pressure of the unit exceeds the standard, so that the temperature change closer to the pressure exceeding the standard is easier to be captured, and the sensitivity of the temperature monitored by the safety instrument monitoring to the standard temperature threshold is effectively improved, so that the correlation between the internal pressure exceeding the standard and the temperature rise of the unit can be accurately judged, and the type of problem can be quickly judged, specific maintenance guidance can be provided, unnecessary inspections can be avoided, time and resources can be saved, maintenance processes can be optimized, work efficiency can be improved, and maintenance personnel can be convenient for accurate maintenance. In addition, by using dynamic incremental temperature values ​​to compare and trigger the standard temperature threshold of the safety instrument, it is more flexible, and this flexibility allows more accurate reflection of actual operating conditions and improves the response speed to abnormal situations.

[0047] The embodiments disclosed in the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. The embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part, and / or installed from a removable medium. When the computer program is executed by the central processing unit, the above functions defined in the method of the present application are executed. It should be noted that the computer-readable medium mentioned above in the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, but not limited to, a system, device or device of an electrical, magnetic, optical, electromagnetic, infrared segment, or semiconductor, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: an electrical connection with one or more wire segments, a portable computer disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical fiber, a portable compact disk read-only memory, an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, apparatus, or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to: wireless segments, wire segments, optical cables, RF, etc., or any suitable combination of the above.

[0048] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0049] Those skilled in the art should understand that the above description is only a specific implementation mode of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be covered by the protection scope of the present application.

Claims

1. A safety instrument management system for benzene hydrogenation unit based on artificial intelligence, characterized in that: include: A data monitoring module, wherein the data monitoring module includes using a sensor to continuously monitor the pressure and temperature changes in the benzene hydrogenation device, and setting a standard pressure threshold and a standard temperature threshold, and performing further operations when it is monitored that the pressure in the benzene hydrogenation device exceeds the standard pressure threshold and the temperature does not exceed the standard temperature threshold; A parameter creation module, the parameter creation module includes creating a temperature change data set, the temperature change data set is obtained by the temperature change in a preset time period before the pressure in the benzene hydrogenation device exceeds the standard pressure threshold; A temperature analysis module, wherein the temperature analysis module dynamically processes the temperature value data of the front section, the middle section and the tail section in the temperature change data group to obtain an incremental temperature value; The result judgment module includes using the incremental temperature value to compare with the standard temperature threshold value, and making corresponding judgments according to the comparison results.

2. The artificial intelligence-based safety instrument management system for benzene hydrogenation unit according to claim 1, characterized in that: The specific method for creating a temperature change data group is: obtaining the temperature value data monitored when the pressure in the benzene hydrogenation unit exceeds the standard pressure threshold and within the previous preset time period, and recording the temperature value data at fixed intervals, and then dividing it into the front section, middle section and tail section in chronological order according to the number of recorded temperature value data.

3. The artificial intelligence-based safety instrument management system for benzene hydrogenation unit according to claim 2 is characterized in that: When creating a temperature change data group, the temperature value corresponding to the start time of the preset time period is set as the index temperature, and the temperature value at the end time of the preset time period is obtained. The temperature value Et at the end time of the preset time period is subtracted from the temperature value of the index temperature St to obtain the temperature value difference Cz = Et-St. If the obtained temperature value difference Cz is less than or equal to 0, it means that the temperature value in the device has not increased at all during the process of exceeding the pressure standard, and a direct judgment is made that the pressure exceeding the standard is not affected by high temperature. If the obtained temperature value difference Cz is greater than 0, continue to perform further operations.

4. The artificial intelligence-based safety instrument management system for benzene hydrogenation unit according to claim 3 is characterized in that: The specific value and quantity of each temperature value of the front section, middle section and tail section separated from the temperature change data group are obtained, each temperature value is subtracted from the index temperature St, and all the differences obtained in each section are summed and divided by the corresponding number of temperature values ​​to obtain the change temperature value of each section.

5. The artificial intelligence-based safety instrument management system for benzene hydrogenation unit according to claim 4 is characterized in that: The formula for the change in temperature ΔT in each section is: In the above formula, T i represents the ith temperature value in the front, middle or tail section, and n represents the total number of temperature values ​​contained in the front, middle or tail section.

6. The artificial intelligence-based safety instrument management system for benzene hydrogenation unit according to claim 5, characterized in that: The changing temperature values ​​of the front section, middle section and tail section are combined with the dynamic adjustment factor k according to the degree of their proximity to the time of pressure exceeding the standard to obtain the corresponding temperature change parameters after dynamic adjustment. The dynamic adjustment factor k includes k1, k2 and k3 sorted from small to large. The front section is to multiply the changing temperature value A1 by the dynamic adjustment factor k1 of the front section to obtain the front section temperature change parameter ZF1=A1×k1, the middle section is to multiply the changing temperature value A2 by the dynamic adjustment factor k2 of the middle section to obtain the middle section temperature change parameter ZF2=A2×k2, and the tail section is to multiply the changing temperature value A3 by the dynamic adjustment factor k3 of the tail section to obtain the tail section temperature change parameter ZF3=A3×k3.

7. The artificial intelligence-based safety instrument management system for benzene hydrogenation unit according to claim 6, characterized in that: The specific method for obtaining the incremental temperature value is: summing the temperature change value parameter ZF1 of the front section, the temperature change value parameter ZF2 of the middle section, the temperature change parameter ZF3 of the tail section and the index temperature St to obtain the incremental temperature value ZLt=ZF1+ZF2+ZF3+St, and comparing the incremental temperature value with the standard temperature threshold and making a judgment based on the comparison result.

8. The artificial intelligence-based safety instrument management system for benzene hydrogenation unit according to claim 5, characterized in that: The dynamic adjustment factor k allows adjustment according to production conditions in different process time periods of the benzene hydrogenation unit, including production load changes, ambient temperature changes, reaction rate adjustments and historical data analysis, so as to adjust the impact of temperature changes according to actual operating conditions.

9. The artificial intelligence-based safety instrument management system for benzene hydrogenation unit according to claim 1, characterized in that: The specific method of making judgments based on the results is: if the incremental temperature value is less than or equal to the standard temperature threshold, it is judged that the excessive pressure in the device is not caused by an internal high temperature problem; if the incremental temperature value is greater than the standard temperature threshold, it is judged that the excessive pressure in the device is caused by an internal high temperature problem, and the feeding should be stopped immediately to reduce the heat release of the internal reaction of the device, and the maintenance personnel should be notified to focus on troubleshooting and repairing the cooling device system of the device and related components that cause high temperature problems.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement an artificial intelligence-based safety instrument management system for a benzene hydrogenation unit as described in any one of claims 1 to 9.

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