An image recognition-based resin safety production intelligent alarm monitoring system

Abstract

This invention relates to the field of resin safety production technology, specifically disclosing an intelligent alarm monitoring system for resin safety production based on image recognition. The system includes a compressor compression information acquisition module, a compressor compression safety analysis module, a reactor polymerization information acquisition module, a reactor polymerization safety analysis module, a resin environmental information acquisition module, a resin environmental safety analysis module, an early warning terminal, and a cloud database. By monitoring and analyzing the compression safety in the polyethylene resin compressor, the polymerization safety in the reactor, and the environmental safety, it solves the problem that current technologies for safety monitoring and analysis of the polyethylene production process are relatively superficial and one-sided. It achieves intelligent monitoring and analysis of polyethylene resin safety production, reduces the risk of ethylene leakage in the compressor, reduces the possibility of explosions in the reactor, and greatly improves the safety of polyethylene resin production.

Description

Technical Field

[0001] This invention belongs to the field of resin safety production technology, and relates to an intelligent alarm monitoring system for resin safety production based on image recognition. Background Technology

[0002] With the continuous development of science and technology and modern processes, various new qualified materials are becoming increasingly available, including polyethylene resin. Polyethylene resin is relatively stable and therefore widely used in industry, commerce, and daily life. However, during the production of polyethylene resin, its monomer ethylene may undergo many chemical reactions, posing numerous potential hazards. Therefore, it is necessary to monitor and analyze the production safety of polyethylene resin.

[0003] Current monitoring and analysis of polyethylene resin production mainly focuses on the quality of polyethylene resin after production. However, the safety monitoring and analysis of the polyethylene production process is still relatively superficial and one-sided. Obviously, this analytical approach has the following problems: 1. Polyethylene resin poses a risk of ethylene leakage in the compressor. Current technology does not analyze the gaps and ethylene concentration at the compressor interface, thus failing to effectively understand the risk of ethylene leakage in the compressor. On the other hand, it does not analyze the actual pressure in the compressor, making it impossible to intuitively demonstrate the compliance of the compressor pressure. Consequently, it cannot effectively prevent other chemical reactions of ethylene in the compressor, thus failing to effectively eliminate the danger of ethylene compression in the compressor.

[0004] 2. Polyethylene resin has the potential for ethylene cracking in the reactor. Current technology does not analyze the temperature, methane, and hydrogen in the reactor, thus failing to effectively demonstrate the ethylene cracking process and reduce the possibility of explosion in the reactor. On the other hand, the safety valves in the reactor are not analyzed, thus failing to prevent the safety valves from becoming blocked, thereby increasing the probability of dangerous accidents in the reactor.

[0005] 3. The environment affecting polyethylene resin impacts its safety. Currently, there is no comprehensive analysis of the electrostatic charge, ultraviolet intensity, and humidity of polyethylene, which increases the probability of polyethylene resin ignition and degradation. At the same time, it is impossible to effectively reduce the safety of the polyethylene resin storage environment and ensure the timeliness of detection of polyethylene resin hazards, thereby increasing the production cost of polyethylene. Summary of the Invention

[0006] The purpose of this invention is to provide an intelligent alarm monitoring system for resin safety production based on image recognition, which solves the problems existing in the background technology.

[0007] The objective of this invention can be achieved through the following technical solution: an intelligent alarm monitoring system for safe production of resin based on image recognition, comprising: a compressor compression information acquisition module, used to set up acquisition time points for the target polyethylene resin during the compression process of the compressor according to a preset time interval, and then acquire the compression information of the target polyethylene resin at each acquisition time point.

[0008] The compressor compression safety analysis module is used to analyze the comprehensive compression safety compliance coefficient of the target polyethylene resin at each sampling time point and to determine the compression safety status of the target polyethylene resin at each sampling time point.

[0009] The reactor polymerization information acquisition module is used to set up various detection time points in the polymerization process of the target polyethylene resin in the reactor according to a preset duration, and then collect the polymerization information corresponding to each detection time point of the target polyethylene resin.

[0010] The reactor polymerization safety analysis module is used to analyze the comprehensive polymerization safety compliance coefficient of the target polyethylene resin at each detection time point and to determine the polymerization safety status of the target polyethylene resin at each detection time point.

[0011] The resin environmental information acquisition module is used to collect environmental information corresponding to each monitoring time point of the target polyethylene resin after production is completed.

[0012] The resin environmental safety analysis module is used to analyze the environmental safety compliance coefficient of the target polyethylene resin at each monitoring time point and to determine the environmental safety status of the target polyethylene resin at each monitoring time point.

[0013] The early warning terminal is used to issue early warnings when the compression state of the target polyethylene resin at a certain collection time point, the polymerization state at a certain detection time point, or the storage environment of the target polyethylene resin is in a dangerous state.

[0014] The cloud database is used to store the reference gap dimensions of each interface of the compressor, the permitted ethylene concentration, and the standard pressure of the compressor corresponding to each collection time point of the target polyethylene resin. It also stores the standard thickness corresponding to each detection point of the reactor safety valve body, the reference concentration of methane and hydrogen in the reactor, the reference temperature of the reactor corresponding to each detection time point of the target polyethylene resin, and the permitted electrostatic charge, permitted ultraviolet intensity, and permitted humidity of the polyethylene resin.

[0015] In the above, the compression information of the target polyethylene resin at each acquisition time point includes the actual pressure of the compressor, images of each interface of the compressor, and the ethylene concentration corresponding to each interface.

[0016] The above analysis of the comprehensive compression safety compliance coefficient corresponding to each sampling time point of the target polyethylene resin is specifically performed as follows: The gap dimensions of each compressor interface corresponding to each sampling time point of the target polyethylene resin are obtained from the images of each interface of the compressor at each sampling time point of the target polyethylene resin, and denoted as C. it , where i represents the number corresponding to each interface of the compressor, i = 1, 2, ..., n, and t represents the number corresponding to each acquisition time point, t = 1, 2, ..., r.

[0017] The standard compressor pressure corresponding to each collection time point of the target polyethylene resin is extracted from the cloud database, and then calculated using the formula. The comprehensive compressibility coefficient of the target polyethylene resin at each sampling time point was obtained. Where P t P t ' and ' represent the actual compressor pressure and standard compressor pressure at the t-th sampling time point of the target polyethylene resin, respectively. i Y i ′ represents the reference gap size and permissible ethylene concentration of the compressor's i-th interface stored in the cloud database, respectively. it ε1 represents the ethylene concentration at the i-th interface of the compressor corresponding to the t-th sampling time point of the target polyethylene resin, and ε2 and ε3 are the weighting factors corresponding to the set compressor pressure, compressor interface gap size, and compressor interface ethylene concentration, respectively.

[0018] The specific process for determining the compression safety status of the target polyethylene resin at each sampling time point is as follows: The comprehensive compression safety compliance coefficient of the target polyethylene resin at each sampling time point is compared with the set comprehensive compression safety compliance coefficient of the standard polyethylene resin. If the comprehensive compression safety compliance coefficient of the target polyethylene resin at a certain sampling time point is greater than or equal to the comprehensive compression safety compliance coefficient of the standard polyethylene resin, then the compression status of the target polyethylene resin at that sampling time point is determined to be in a safe state; otherwise, the compression status of the standard polyethylene resin at that sampling time point is determined to be in a dangerous state. This method is used to determine the compression safety status of the target polyethylene resin at each sampling time point.

[0019] In the above, the polymerization information corresponding to each detection time point of the target polyethylene resin includes the reactor reference temperature, the actual reactor temperature, the methane concentration, the hydrogen concentration, and the thickness corresponding to each detection point of the reactor safety valve body.

[0020] The above analysis of the comprehensive polymerization safety compliance coefficient corresponding to each detection time point of the target polyethylene resin is specifically analyzed as follows: The standard thickness corresponding to each detection point of the reactor safety valve body is extracted from the cloud database, and then substituted into the calculation formula along with the thickness corresponding to each detection point of the reactor safety valve body at each detection time point of the target polyethylene resin. In the process, the safety compliance coefficient α′ of the reactor safety valve corresponding to each detection time point of the target polyethylene resin was obtained. t′ D t′j D′ represents the thickness of the target polyethylene resin at the j-th detection point of the reactor safety valve body at the t′-th detection time point. j This indicates the standard thickness corresponding to the j-th detection point on the reactor safety valve body. The correction factor is set to the safety compliance coefficient of the reactor safety valve. t′ represents the number corresponding to each detection time point, t′=1′,2′......r′, and j represents the number corresponding to each detection point of the reactor safety valve, j=1,2......m.

[0021] Extract the reactor reference temperature corresponding to each detection time point of the target polyethylene resin from the cloud database, and then calculate it according to the formula. In the process, the polymerization reaction safety compliance coefficient α″ corresponding to each detection time point of the target polyethylene resin was obtained. t′ T t′ 、T′ t′ W t′ Q t′ η1, η2, and η3 are the actual reactor temperature, reference reactor temperature, methane concentration, and hydrogen concentration corresponding to the t′ detection time point of the target polyethylene resin, respectively. W′ and Q′ are the reference methane concentration and reference hydrogen concentration in the reactor stored in the cloud database, respectively. η1, η2, and η3 are the weighting factors corresponding to the actual reactor temperature, methane concentration, and hydrogen concentration, respectively.

[0022] According to the calculation formula The comprehensive polymerization safety compliance coefficient α for each detection time point of the target polyethylene resin was obtained. t′ , where λ1 and λ2 are the weighting factors corresponding to the set reactor safety valve safety compliance coefficient and polymerization reaction safety compliance coefficient, respectively.

[0023] The specific process for determining the polymerization safety status of the target polyethylene resin at each detection time point, as described above, is as follows: The comprehensive polymerization safety compliance coefficient of the target polyethylene resin at each detection time point is compared with the set comprehensive polymerization safety compliance coefficient of the standard polyethylene resin. If the comprehensive polymerization safety compliance coefficient of the target polyethylene resin at a certain detection time point is greater than or equal to the comprehensive polymerization safety compliance coefficient of the standard polyethylene resin, then the polymerization state of the target polyethylene resin at that detection time point is determined to be in a safe state; otherwise, the polymerization state of the target polyethylene resin at that detection time point is determined to be in a dangerous state. This process is used to determine the polymerization safety status of the target polyethylene resin at each detection time point.

[0024] In the above, the environmental information corresponding to each monitoring time point of the target polyethylene resin after production includes the electrostatic charge, ultraviolet intensity, and humidity at each monitoring point.

[0025] The above analysis of the environmental safety compliance coefficients for the target polyethylene resin at each monitoring time point is as follows: The electrostatic charge, ultraviolet intensity, and humidity at each monitoring point after production are substituted into the calculation formula. In the process, the environmental safety compliance coefficient β corresponding to each monitoring time point of the target polyethylene resin was obtained. t″ DQ ut″ γ ut″ S ut″ These represent the electrostatic charge, ultraviolet intensity, and humidity at the u-th monitoring point within the t″-th monitoring time point after the target polyethylene resin is produced. DQ, γ, and S represent the permitted electrostatic charge, permitted ultraviolet intensity, and permitted humidity of the polyethylene resin stored in the cloud database, respectively. σ1, σ2, and σ3 represent the weighting factors corresponding to the set electrostatic charge, ultraviolet intensity, and humidity, respectively. τ represents the correction factor corresponding to the set environmental state safety compliance coefficient. t″ represents the number corresponding to each monitoring time point, t″ = 1″, 2″, ..., r″, and u represents the number corresponding to each monitoring point, u = 1, 2, ..., v.

[0026] The specific process for determining the safety of the placement environment corresponding to each monitoring time point of the target polyethylene resin is as follows: The safety compliance coefficient of the placement environment corresponding to each monitoring time point of the target polyethylene resin is compared with the set safety compliance coefficient of the placement environment of the standard polyethylene resin. If the safety compliance coefficient of the placement environment corresponding to a certain monitoring time point of the target polyethylene resin is greater than or equal to the safety compliance coefficient of the placement environment of the standard polyethylene resin, then the placement environment corresponding to that monitoring time point of the target polyethylene resin is determined to be in a safe state; otherwise, the placement environment corresponding to that monitoring time point of the target polyethylene resin is determined to be in a dangerous state. The safety of the placement environment corresponding to each monitoring time point of the target polyethylene resin is determined in this way.

[0027] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. The present invention provides an intelligent alarm monitoring system for safe production of polyethylene resin based on image recognition. By monitoring and analyzing the production safety of polyethylene resin, it solves the problem that the current technology for safety monitoring and analysis of polyethylene production process is still relatively superficial and one-sided. It realizes intelligent monitoring and analysis of safe production of polyethylene resin, effectively ensures the safety of polyethylene resin in the production process, and effectively reduces the production cost of polyethylene resin.

[0028] 2. This invention analyzes the compression process of polyethylene resin in the compressor in the compressor through the compressor compression safety analysis module, which effectively reduces the risk of ethylene leakage in the compressor, and also effectively ensures the compliance of the pressure in the compressor, avoids other chemical reactions of ethylene in the compressor, and greatly eliminates the danger of ethylene compression in the compressor.

[0029] 3. In the reactor polymerization safety analysis module, this invention analyzes the polymerization process of polyethylene resin in the reactor, effectively ensuring and demonstrating the ethylene cracking situation, thereby reducing the possibility of explosion in the reactor. It also avoids the blockage of safety valves in the reactor, thus reducing the probability of dangerous accidents in the reactor.

[0030] 4. In the resin environmental safety analysis module, this invention analyzes the safety of the storage environment of polyethylene resin, which greatly reduces the probability of polyethylene resin ignition and degradation, thereby effectively increasing the safety of the polyethylene resin storage environment and ensuring the timeliness of detection of dangerous accidents involving polyethylene resin, thus reducing the production cost of polyethylene. Attached Figure Description

[0031] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0032] Figure 1 This is a schematic diagram of the system module connection structure of the present invention.

[0033] Figure 2 This is a schematic diagram of the reactor safety valve body structure of the present invention. Detailed Implementation

[0034] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0035] Please see Figure 1 As shown, an intelligent alarm monitoring system for resin safety production based on image recognition includes: a compressor compression information acquisition module, a compressor compression safety analysis module, a reactor polymerization information acquisition module, a reactor polymerization safety analysis module, a resin environmental information acquisition module, a resin environmental safety analysis module, an early warning terminal, and a cloud database.

[0036] The compressor compression safety analysis module is connected to the compressor compression information acquisition module, the reactor polymerization information acquisition module, the early warning terminal, and the cloud database, respectively. The reactor polymerization safety analysis module is connected to the reactor polymerization information acquisition module, the resin environmental information acquisition module, the early warning terminal, and the cloud database, respectively. The resin environmental safety analysis module is connected to the resin environmental information acquisition module, the early warning terminal, and the cloud database, respectively.

[0037] The compressor compression information acquisition module is used to set up acquisition time points at preset time intervals during the compression process of the target polyethylene resin in the compressor, and then collect the compression information of the target polyethylene resin at each acquisition time point.

[0038] In one specific embodiment, the compression information of the target polyethylene resin at each acquisition time point includes the actual pressure of the compressor, images of each interface of the compressor, and the ethylene concentration corresponding to each interface.

[0039] In another specific embodiment, compression information of the target polyethylene resin at each collection time point is collected. The specific collection process is as follows: the actual pressure of the compressor corresponding to each collection time point of the target polyethylene resin is obtained from the compressor control center.

[0040] Images of the compressor's interfaces at various sampling times corresponding to the target polyethylene resin were acquired using a camera.

[0041] Each ethylene sensor is installed at each interface of the compressor, and then the ethylene concentration of the target polyethylene resin at each sampling time point is collected at each interface of the compressor through the ethylene sensors at each interface of the compressor.

[0042] The compressor compression safety analysis module is used to analyze the comprehensive compression safety compliance coefficient of the target polyethylene resin at each sampling time point and to determine the compression safety status of the target polyethylene resin at each sampling time point.

[0043] In a specific embodiment, the comprehensive compression safety compliance coefficient corresponding to each sampling time point of the target polyethylene resin is analyzed as follows: The gap dimensions of each compressor interface corresponding to each sampling time point of the target polyethylene resin are obtained from the images of each interface of the compressor at each sampling time point of the target polyethylene resin, and denoted as C. it , where i represents the number corresponding to each interface of the compressor, i = 1, 2, ..., n, and t represents the number corresponding to each acquisition time point, t = 1, 2, ..., r.

[0044] It should be noted that the clearance dimensions of each interface of the compressor include the length, width, and area of ​​the clearance.

[0045] The standard compressor pressure corresponding to each collection time point of the target polyethylene resin is extracted from the cloud database, and then calculated using the formula. The comprehensive compressibility coefficient of the target polyethylene resin at each sampling time point was obtained. Where P t P t ' and ' represent the actual compressor pressure and standard compressor pressure at the t-th sampling time point of the target polyethylene resin, respectively. i Y i ′ represents the reference gap size and permissible ethylene concentration of the compressor's i-th interface stored in the cloud database, respectively. it ε1 represents the ethylene concentration at the i-th interface of the compressor corresponding to the t-th sampling time point of the target polyethylene resin, and ε2 and ε3 are the weighting factors corresponding to the set compressor pressure, compressor interface gap size, and compressor interface ethylene concentration, respectively.

[0046] In another specific embodiment, the determination of the compression safety status of the target polyethylene resin at each sampling time point is carried out as follows: the comprehensive compression safety compliance coefficient of the target polyethylene resin at each sampling time point is compared with the set comprehensive compression safety compliance coefficient of the standard polyethylene resin. If the comprehensive compression safety compliance coefficient of the target polyethylene resin at a certain sampling time point is greater than or equal to the comprehensive compression safety compliance coefficient of the standard polyethylene resin, then the compression status of the target polyethylene resin at that sampling time point is determined to be in a safe state; otherwise, the compression status of the standard polyethylene resin at that sampling time point is determined to be in a dangerous state. The compression safety status of the target polyethylene resin at each sampling time point is determined in this way.

[0047] This invention analyzes the compression process of polyethylene resin in a compressor, effectively reducing the risk of ethylene leakage in the compressor, while also ensuring the pressure compliance of the compressor and preventing other chemical reactions of ethylene in the compressor, thus greatly eliminating the danger of ethylene compression in the compressor.

[0048] The reactor polymerization information acquisition module is used to set up various detection time points in the polymerization process of the target polyethylene resin in the reactor according to a preset duration, and then collect the polymerization information corresponding to each detection time point of the target polyethylene resin.

[0049] Please see Figure 2 As shown, in a specific embodiment, the polymerization information corresponding to each detection time point of the target polyethylene resin includes the actual temperature of the reactor, methane concentration, hydrogen concentration, and the thickness corresponding to each detection point of the reactor safety valve body.

[0050] In another specific embodiment, polymerization information corresponding to each detection time point of the target polyethylene resin is collected. The specific collection process is as follows: the temperature in the reactor corresponding to each detection time point of the target polyethylene resin is collected by an infrared temperature sensor, and it is used as the actual temperature of the reactor corresponding to each detection time point of the target polyethylene resin.

[0051] The methane concentration at the exhaust outlet of the reactor corresponding to each detection time point of the target polyethylene resin was collected by a methane sensor and used as the methane concentration corresponding to each detection time point of the target polyethylene resin.

[0052] The hydrogen concentration at the exhaust outlet of the reactor corresponding to each detection time point of the target polyethylene resin was collected by a hydrogen sensor and used as the hydrogen concentration corresponding to each detection time point of the target polyethylene resin.

[0053] Detection points are set up on the reactor safety valve body at preset intervals, and then the thickness of the target polyethylene resin at each detection point on the reactor safety valve body is collected by an ultrasonic thickness gauge at each detection time point.

[0054] The reactor polymerization safety analysis module is used to analyze the comprehensive polymerization safety compliance coefficient of the target polyethylene resin at each detection time point and to determine the polymerization safety status of the target polyethylene resin at each detection time point.

[0055] In a specific embodiment, the comprehensive polymerization safety compliance coefficient corresponding to each detection time point of the target polyethylene resin is analyzed through the following process: The standard thickness corresponding to each detection point of the reactor safety valve body is extracted from the cloud database, and then substituted into the calculation formula along with the thickness corresponding to each detection point of the reactor safety valve body at each detection time point of the target polyethylene resin. In the process, the safety compliance coefficient α′ of the reactor safety valve corresponding to each detection time point of the target polyethylene resin was obtained. t′ D t′j D′ represents the thickness of the target polyethylene resin at the j-th detection point of the reactor safety valve body at the t′-th detection time point. j This indicates the standard thickness corresponding to the j-th detection point on the reactor safety valve body. The correction factor is set to the safety compliance coefficient of the reactor safety valve. t′ represents the number corresponding to each detection time point, t′=1′,2′......r′, and j represents the number corresponding to each detection point of the reactor safety valve, j=1,2......m.

[0056] Extract the reactor reference temperature corresponding to each detection time point of the target polyethylene resin from the cloud database, and then calculate it according to the formula. In the process, the polymerization reaction safety compliance coefficient α″ corresponding to each detection time point of the target polyethylene resin was obtained. t′ T t′ 、T′ t′ W t′ Q t′ η1, η2, and η3 are the actual reactor temperature, reference reactor temperature, methane concentration, and hydrogen concentration corresponding to the t′ detection time point of the target polyethylene resin, respectively. W′ and Q′ are the reference methane concentration and reference hydrogen concentration in the reactor stored in the cloud database, respectively. η1, η2, and η3 are the weighting factors corresponding to the actual reactor temperature, methane concentration, and hydrogen concentration, respectively.

[0057] According to the calculation formula The comprehensive polymerization safety compliance coefficient α for each detection time point of the target polyethylene resin was obtained. t′, where λ1 and λ2 are the weighting factors corresponding to the set reactor safety valve safety compliance coefficient and polymerization reaction safety compliance coefficient, respectively.

[0058] In another specific embodiment, the determination of the polymerization safety status of the target polyethylene resin at each detection time point is carried out as follows: the comprehensive polymerization safety compliance coefficient of the target polyethylene resin at each detection time point is compared with the set comprehensive polymerization safety compliance coefficient of the standard polyethylene resin. If the comprehensive polymerization safety compliance coefficient of the target polyethylene resin at a certain detection time point is greater than or equal to the comprehensive polymerization safety compliance coefficient of the standard polyethylene resin, then the polymerization state of the target polyethylene resin at that detection time point is determined to be in a safe state; otherwise, the polymerization state of the target polyethylene resin at that detection time point is determined to be in a dangerous state. Thus, the polymerization safety status of the target polyethylene resin at each detection time point is determined.

[0059] This invention analyzes the polymerization process of polyethylene resin in a reactor, effectively ensuring the demonstration of ethylene cracking, thereby reducing the possibility of explosion in the reactor and preventing the safety valve from becoming blocked, thus reducing the probability of dangerous accidents in the reactor.

[0060] The resin environmental information acquisition module is used to collect environmental information corresponding to each monitoring time point of the target polyethylene resin after production is completed.

[0061] In one specific embodiment, the environmental information corresponding to each monitoring time point of the target polyethylene resin after production includes the electrostatic charge, ultraviolet intensity, and humidity at each monitoring point.

[0062] In another specific embodiment, environmental information corresponding to each monitoring time point of the target polyethylene resin after production is completed is collected. The specific collection process is as follows:

[0063] After production is completed, monitoring points are set up in the area where the target polyethylene resin is placed, and each monitoring time point is set up at a preset time interval. Then, the electrostatic charge of each monitoring point at each monitoring time point of the target polyethylene resin after production is collected by an electrostatic tester.

[0064] The ultraviolet intensity of the target polyethylene resin at each monitoring point at each monitoring time point after production is completed is collected using an ultraviolet sensor.

[0065] The humidity of the target polyethylene resin at each monitoring point during the monitoring time point after the production is completed is collected by a humidity sensor, and the collected data is used as the humidity of the target polyethylene resin at each monitoring time point.

[0066] The resin environmental safety analysis module is used to analyze the environmental safety compliance coefficient of the target polyethylene resin at each monitoring time point and to determine the environmental safety status of the target polyethylene resin at each monitoring time point.

[0067] In a specific embodiment, the analysis process for the environmental safety compliance coefficient of the target polyethylene resin at each monitoring time point is as follows: The electrostatic charge, ultraviolet intensity, and humidity at each monitoring point of the target polyethylene resin after production are substituted into the calculation formula.

[0068] In the process, the environmental safety compliance coefficient β corresponding to each monitoring time point of the target polyethylene resin was obtained. t″ DQ ut″ γ ut″ S ut″ These represent the electrostatic charge, ultraviolet intensity, and humidity at the u-th monitoring point within the t″-th monitoring time point after the target polyethylene resin is produced. DQ, γ, and S represent the permitted electrostatic charge, permitted ultraviolet intensity, and permitted humidity of the polyethylene resin stored in the cloud database, respectively. σ1, σ2, and σ3 represent the weighting factors corresponding to the set electrostatic charge, ultraviolet intensity, and humidity, respectively. τ represents the correction factor corresponding to the set environmental state safety compliance coefficient. t″ represents the number corresponding to each monitoring time point, t″ = 1″, 2″, ..., r″, and u represents the number corresponding to each monitoring point, u = 1, 2, ..., v.

[0069] In another specific embodiment, the determination of the safety status of the placement environment corresponding to each monitoring time point of the target polyethylene resin is carried out as follows: the safety compliance coefficient of the placement environment corresponding to each monitoring time point of the target polyethylene resin is compared with the set safety compliance coefficient of the placement environment of the standard polyethylene resin. If the safety compliance coefficient of the placement environment corresponding to a certain monitoring time point of the target polyethylene resin is greater than or equal to the safety compliance coefficient of the placement environment of the standard polyethylene resin, it is determined that the placement environment of the target polyethylene resin at that monitoring time point is in a safe state; otherwise, it is determined that the placement environment of the target polyethylene resin at that monitoring time point is in a dangerous state. The safety status of the placement environment corresponding to each monitoring time point of the target polyethylene resin is determined in this way.

[0070] This invention analyzes the environmental safety of polyethylene resin, greatly reducing the probability of polyethylene resin ignition and degradation, thereby effectively increasing the safety of the polyethylene resin storage environment and ensuring the timeliness of detection of dangerous accidents involving polyethylene resin, thus reducing the production cost of polyethylene.

[0071] The early warning terminal is used to issue early warnings when the compression state of the target polyethylene resin at a certain collection time point, the polymerization state at a certain detection time point, or the storage environment of the target polyethylene resin is in a dangerous state.

[0072] The cloud database is used to store the reference gap dimensions of each interface of the compressor, the permitted ethylene concentration, and the standard pressure of the compressor corresponding to each collection time point of the target polyethylene resin. It also stores the standard thickness corresponding to each detection point of the reactor safety valve body, the reference concentration of methane and hydrogen in the reactor, the reference temperature of the reactor corresponding to each detection time point of the target polyethylene resin, and the permitted electrostatic charge, permitted ultraviolet intensity, and permitted humidity of the polyethylene resin.

[0073] This invention addresses the current limitations of superficial and incomplete safety monitoring and analysis in polyethylene production processes by monitoring and analyzing the production safety of polyethylene resin. It achieves intelligent monitoring and analysis of polyethylene resin production safety, effectively ensuring the safety of polyethylene resin during production and significantly reducing the production cost of polyethylene resin.

[0074] The above description is merely an example and illustration of the structure of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the structure of the invention or exceed the scope defined in the claims, all of which should fall within the protection scope of the present invention.

Claims

1. A resin safety production intelligent alarm monitoring system based on image recognition, characterized in that, include: The compressor compression information acquisition module is used to set up acquisition time points at preset time intervals during the compression process of the target polyethylene resin in the compressor, and then collect the compression information of the target polyethylene resin at each acquisition time point. The compressor compression safety analysis module is used to analyze the comprehensive compression safety compliance coefficient of the target polyethylene resin at each sampling time point and to determine the compression safety status of the target polyethylene resin at each sampling time point. The reactor polymerization information acquisition module is used to set up various detection time points according to a preset duration for the polymerization process of the target polyethylene resin in the reactor, and then collect the polymerization information corresponding to each detection time point of the target polyethylene resin. The reactor polymerization safety analysis module is used to analyze the comprehensive polymerization safety compliance coefficient of the target polyethylene resin at each detection time point and to determine the polymerization safety status of the target polyethylene resin at each detection time point. The resin environmental information acquisition module is used to collect environmental information corresponding to each monitoring time point of the target polyethylene resin after production is completed. The resin environmental safety analysis module is used to analyze the environmental safety compliance coefficient of the target polyethylene resin at each monitoring time point and to determine the environmental safety status of the target polyethylene resin at each monitoring time point. The early warning terminal is used to provide early warnings when the compression state of the target polyethylene resin at a certain collection time point, the polymerization state at a certain detection time point, or the storage environment of the target polyethylene resin is in a dangerous state. The cloud database is used to store the reference gap dimensions of each interface of the compressor, the permitted ethylene concentration, and the standard pressure of the compressor corresponding to each collection time point of the target polyethylene resin. It also stores the standard thickness corresponding to each detection point of the reactor safety valve body, the reference concentration of methane and hydrogen in the reactor, the reference temperature of the reactor corresponding to each detection time point of the target polyethylene resin, and the permitted electrostatic charge, permitted ultraviolet intensity, and permitted humidity of the polyethylene resin. The compression information of the target polyethylene resin at each time point collected includes the actual pressure of the compressor, images of each interface of the compressor, and the ethylene concentration corresponding to each interface. The comprehensive compressibility coefficient of the target polyethylene resin at each sampling time point is analyzed, and the specific analysis process is as follows: The gap dimensions of each compressor interface at each acquisition time point of the target polyethylene resin are obtained from the images of each interface at each acquisition time point of the target polyethylene resin, and are denoted as follows: Where i represents the number corresponding to each interface of the compressor. t represents the number corresponding to each data collection time point. ; The standard compressor pressure corresponding to each collection time point of the target polyethylene resin is extracted from the cloud database, and then calculated using the formula. The comprehensive compressibility coefficient of the target polyethylene resin at each sampling time point was obtained. ,in , Let represent the actual compressor pressure and the standard compressor pressure at the t-th sampling time point of the target polyethylene resin, respectively. , These are the reference gap size and permitted ethylene concentration of the compressor's i-th interface stored in the cloud database, respectively. This indicates the ethylene concentration at the i-th interface of the compressor corresponding to the t-th sampling time point of the target polyethylene resin. , , These are the weighting factors corresponding to the set compressor pressure, compressor interface gap size, and compressor interface ethylene concentration, respectively. The comprehensive polymerization safety compliance coefficient of the target polyethylene resin at each detection time point The calculation formula is: ,in , These are the weighting factors corresponding to the set safety compliance coefficients of the reactor safety valve and the polymerization reaction safety compliance coefficient, respectively; This represents the safety compliance coefficient of the reactor safety valve at each detection time point for the target polyethylene resin. This represents the safety compliance coefficient of the polymerization reaction at each detection time point of the target polyethylene resin. The analysis process for the environmental safety compliance coefficients of the polyethylene resin target at each monitoring time point is as follows: Substitute the electrostatic charge, ultraviolet intensity, and humidity corresponding to each monitoring point at each monitoring time point after the target polyethylene resin is produced into the calculation formula. In the process, the environmental safety compliance coefficients for the target polyethylene resin at each monitoring time point were obtained. ,in , , These represent the target polyethylene resin after production is completed. The electrostatic charge, ultraviolet radiation intensity, and humidity corresponding to the u-th monitoring point in a given monitoring time period. , , These are the permitted electrostatic charge, permitted ultraviolet intensity, and permitted humidity of polyethylene resin stored in the cloud database, respectively. , , These are the weighting factors corresponding to the set electrostatic charge, ultraviolet radiation intensity, and humidity, respectively. The correction factor corresponding to the set environmental condition safety compliance coefficient. This indicates the number corresponding to each monitoring time point. u represents the number corresponding to each monitoring point. .

2. The intelligent alarm monitoring system for resin safety production based on image recognition according to claim 1, characterized in that: The specific process for determining the compression safety of the target polyethylene resin at each sampling time point is as follows: The comprehensive compression safety compliance coefficient of the target polyethylene resin at each sampling time point is compared with the set comprehensive compression safety compliance coefficient of the standard polyethylene resin. If the comprehensive compression safety compliance coefficient of the target polyethylene resin at a certain sampling time point is greater than or equal to the comprehensive compression safety compliance coefficient of the standard polyethylene resin, the compression state of the target polyethylene resin at that sampling time point is determined to be in a safe state; otherwise, the compression state of the standard polyethylene resin at that sampling time point is determined to be in a dangerous state. The compression safety status of the target polyethylene resin at each sampling time point is determined in this way.

3. The intelligent alarm monitoring system for resin safety production based on image recognition according to claim 1, characterized in that: The polymerization information corresponding to each detection time point of the target polyethylene resin includes the actual temperature of the reactor, methane concentration, hydrogen concentration, and the thickness of each detection point on the reactor safety valve body.

4. The intelligent alarm monitoring system for resin safety production based on image recognition according to claim 3, characterized in that: The comprehensive polymerization safety compliance coefficient of the target polyethylene resin at each detection time point is analyzed in the following specific process: The standard thickness corresponding to each detection point of the reactor safety valve body is extracted from the cloud database, and then substituted into the calculation formula along with the thickness corresponding to each detection point of the reactor safety valve body at each detection time point of the target polyethylene resin. In this process, the safety compliance coefficient of the reactor safety valve corresponding to each detection time point of the target polyethylene resin was obtained. ,in Indicates the target polyethylene resin number The thickness corresponding to the j-th detection point of the reactor safety valve body at each detection time point. This indicates the standard thickness corresponding to the j-th detection point on the reactor safety valve body. This is a correction factor corresponding to the set safety compliance coefficient of the reactor safety valve. This indicates the number corresponding to each detection time point. j represents the number corresponding to each detection point of the reactor safety valve. ; Extract the reactor reference temperature corresponding to each detection time point of the target polyethylene resin from the cloud database, and then calculate it according to the formula. In this process, the polymerization reaction safety compliance coefficients corresponding to each detection time point of the target polyethylene resin were obtained. ,in , , , The target polyethylene resin is the first The actual reactor temperature, reference reactor temperature, methane concentration, and hydrogen concentration corresponding to each detection time point. , These are the reference concentrations of methane and hydrogen in the reactor stored in the cloud database, respectively. , , These are the weighting factors corresponding to the set actual reactor temperature, methane concentration, and hydrogen concentration, respectively.

5. The intelligent alarm monitoring system for resin safety production based on image recognition according to claim 4, characterized in that: The specific process for determining the polymerization safety of the target polyethylene resin at each detection time point is as follows: The comprehensive polymerization safety compliance coefficients of the target polyethylene resin at each detection time point are compared with the set comprehensive polymerization safety compliance coefficients of the standard polyethylene resin. If the comprehensive polymerization safety compliance coefficient of the target polyethylene resin at a certain detection time point is greater than or equal to the comprehensive polymerization safety compliance coefficient of the standard polyethylene resin, the polymerization state of the target polyethylene resin at that detection time point is determined to be in a safe state; otherwise, the polymerization state of the target polyethylene resin at that detection time point is determined to be in a dangerous state. This is how the polymerization safety status of the target polyethylene resin at each detection time point is determined.

6. The intelligent alarm monitoring system for resin safety production based on image recognition according to claim 1, characterized in that: The environmental information corresponding to each monitoring time point of the target polyethylene resin after production includes the electrostatic charge, ultraviolet intensity, and humidity at each monitoring point.

7. The intelligent alarm monitoring system for resin safety production based on image recognition according to claim 1, characterized in that: The specific judgment process for determining the safety of the placement environment of the target polyethylene resin at each monitoring time point is as follows: The safety compliance coefficient of the placement environment corresponding to each monitoring time point of the target polyethylene resin is compared with the set safety compliance coefficient of the placement environment of the standard polyethylene resin. If the safety compliance coefficient of the placement environment corresponding to a certain monitoring time point of the target polyethylene resin is greater than or equal to the safety compliance coefficient of the placement environment of the standard polyethylene resin, the placement environment of the target polyethylene resin at that monitoring time point is determined to be in a safe state; otherwise, the placement environment of the target polyethylene resin at that monitoring time point is determined to be in a dangerous state. The safety status of the placement environment corresponding to each monitoring time point of the target polyethylene resin is determined in this way.

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