Aluminum rod casting safety monitoring method, monitoring system and readable storage medium

Abstract

The present invention relates to the technical field of aluminum rod casting, and provides a safety monitoring method, a monitoring system and a readable storage medium for aluminum rod casting, wherein the safety monitoring method for aluminum rod casting comprises the following steps: obtaining the basic risk coefficient of different target areas in the aluminum rod casting process; obtaining multi-dimensional real-time parameters of different target areas in the aluminum rod casting process, and extracting real-time parameter characteristic values ​​of the multi-dimensional real-time parameters; obtaining the safety risk index of the target area according to the real-time parameter characteristic values; obtaining the safety risk level of the target area according to the safety risk index and the basic risk coefficient; and performing real-time safety monitoring of aluminum rod casting according to the safety risk level of different target areas. The present invention can timely and accurately obtain the safety production risk level in the aluminum rod casting process, so as to perform real-time safety monitoring of aluminum rod casting, prevent aluminum liquid leakage, ensure safe production, and reduce casualties and economic losses.

Description

Technical Field

[0001] The present invention relates to the technical field of aluminum rod smelting and casting, and in particular to an aluminum rod smelting and casting safety monitoring method, a monitoring system and a readable storage medium. Background Art

[0002] Aluminum processing, such as aluminum bar casting, is a key link in aluminum profile production, but there are many risks in the aluminum bar casting process. Liquid aluminum leakage is a major risk in aluminum processing, especially aluminum bar casting. The high-temperature aluminum liquid comes into contact with cooling water, causing the water to decompose into hydrogen and oxygen, which can easily cause chemical and physical explosions including steam flash explosions, causing significant casualties and economic losses to the company. Therefore, preventing aluminum liquid leakage is crucial to ensuring safe production in aluminum processing companies. In order to prevent aluminum liquid leakage, ensure safe production, reduce casualties and economic losses, it is necessary to obtain the degree of safety production risk in the aluminum bar casting process in a timely and accurate manner.

[0003] At present, the safety risk assessment of aluminum processing, especially aluminum rod casting, mainly adopts methods such as Safety Check List (SCL), Likelihood Exposure Consequence (LEC), and Fault Tree Analysis (FTA).

[0004] Although the above-mentioned existing methods can realize the analysis of production safety risks, they are unable to obtain the safety risk levels of different target areas according to the multi-dimensional parameters of different target areas during the aluminum rod casting process, so as to conduct real-time and accurate safety monitoring of aluminum rod casting. Summary of the invention

[0005] Based on this, in order to solve the problem that the existing safety production risk analysis method cannot obtain the safety risk level of different target areas according to the multi-dimensional parameters of different target areas in the aluminum bar casting process to perform real-time and accurate safety monitoring of aluminum bar casting, the present invention provides a continuous homogenizing furnace control system, control method, equipment and medium, and its specific technical scheme is as follows:

[0006] A method for monitoring the safety of aluminum rod casting comprises the following steps:

[0007] Obtain the basic risk factors of different target areas during the aluminum bar casting process;

[0008] Acquire multi-dimensional real-time parameters of different target areas during the aluminum bar casting process, and extract real-time parameter characteristic values ​​of the multi-dimensional real-time parameters;

[0009] Obtaining a safety risk index of the target area according to the real-time parameter characteristic value;

[0010] Obtaining the security risk level of the target area according to the security risk index and the basic risk coefficient;

[0011] According to the safety risk level of different target areas, the aluminum rod casting is monitored in real time for safety.

[0012] The aluminum rod casting safety monitoring method obtains multi-dimensional real-time parameters of different target areas during the aluminum rod casting process, obtains the safety risk index of the target area according to the real-time parameter characteristic values ​​of the multi-dimensional real-time parameters, obtains the safety risk level of the target area based on the safety risk index and the basic risk coefficient, and finally obtains the safety production risk level in the aluminum rod casting process in a timely and accurate manner according to the safety risk level of different target areas, so as to perform real-time safety monitoring of the aluminum rod casting, prevent leakage of molten aluminum, ensure safe production, and reduce casualties and economic losses.

[0013] Preferably, the specific method for obtaining the security risk index of the target area according to the real-time parameter characteristic value comprises the following steps:

[0014] Obtain parameter feature warning values ​​in each dimension of the target area;

[0015] Obtain the fault exception handling rate and fault exception frequency of the target area;

[0016] A safety risk index of a target area is obtained according to the real-time parameter characteristic value, the parameter characteristic warning value, the fault abnormality processing rate, and the fault abnormality frequency.

[0017] Preferably, the security risk index ,

[0018] in, Indicates the number of dimensions, Indicates Real-time parameter characteristic values ​​in dimensions, Indicates Correction value of the real-time parameter characteristic value in dimensions, Indicates Parameter feature warning values ​​under dimensions, Indicates the fault exception handling rate, Indicates the fault exception processing rate adjustment coefficient, Indicates the abnormal frequency of faults. Indicates the fault abnormal frequency adjustment coefficient, Indicates the preset parameter feature warning threshold, Represents a natural constant.

[0019] Preferably, the security risk level of the target area ;in, represents the basic risk coefficient, Represents the rounding function.

[0020] Preferably, the preset parameter feature warning threshold is based on the formula Seek, It is a preset constant and its value range is [0.1,0.3].

[0021] An aluminum bar casting safety monitoring system is used to implement the aluminum bar casting safety monitoring method, which specifically includes:

[0022] A data acquisition module is used to obtain the basic risk coefficients of different target areas during the aluminum bar casting process, and to obtain multi-dimensional real-time parameters of different target areas during the aluminum bar casting process;

[0023] A feature value extraction module, used to extract real-time parameter feature values ​​of multi-dimensional real-time parameters;

[0024] A risk index acquisition module, used to acquire a safety risk index of a target area according to the real-time parameter characteristic value;

[0025] A risk level acquisition module, used to acquire the security risk level of the target area according to the security risk index and the basic risk coefficient;

[0026] The safety monitoring module is used to perform real-time safety monitoring of aluminum rod casting according to the safety risk levels of different target areas.

[0027] Preferably, the risk index acquisition module includes:

[0028] A characteristic warning value acquisition unit is used to obtain a parameter characteristic warning value in each dimension of the target area;

[0029] A fault anomaly parameter acquisition unit, which acquires the fault anomaly processing rate and fault anomaly frequency of the target area;

[0030] The risk index acquisition unit is used to acquire the safety risk index of the target area according to the real-time parameter characteristic value, the parameter characteristic warning value, the fault abnormality processing rate and the fault abnormality frequency.

[0031] Preferably, the security risk index ,

[0032] in, Indicates the number of dimensions, Indicates Real-time parameter characteristic values ​​in dimensions, Indicates Correction value of the real-time parameter characteristic value in dimensions, Indicates Parameter feature warning values ​​under dimensions, Indicates the fault exception handling rate, Indicates the fault exception processing rate adjustment coefficient, Indicates the abnormal frequency of faults. Indicates the fault abnormal frequency adjustment coefficient, Indicates the preset parameter feature warning threshold, Represents a natural constant.

[0033] Preferably, the risk level acquisition module is based on the formula Obtain the security risk level of the target area; where: Indicates the security risk level of the target area. represents the basic risk coefficient, Represents the rounding function.

[0034] A computer-readable storage medium stores a computer program, which implements the aluminum rod casting safety monitoring method when executed by a processor. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The present invention can be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily drawn to scale, but the emphasis is placed on illustrating the principles of the embodiments. In different views, the same reference numerals designate corresponding parts.

[0036] Figure 1 It is a schematic diagram of the overall process of a method for monitoring the safety of aluminum rod casting in one embodiment of the present invention;

[0037] Figure 2 is a flowchart of a specific method for obtaining a security risk index in one embodiment of the present invention;

[0038] Figure 3 The figure is a schematic diagram of the overall structure of an aluminum rod casting safety monitoring system in one embodiment of the present invention. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with its embodiments. It should be understood that the specific implementation methods described herein are only used to explain the present invention and do not limit the protection scope of the present invention.

[0040] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only and do not represent the only implementation method.

[0041] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0042] The “first” and “second” mentioned in the present invention do not represent specific quantities and orders, but are merely used to distinguish names.

[0043] During the aluminum bar casting process, if aluminum liquid leaks, the high-temperature aluminum liquid will come into contact with cooling water, causing the water to decompose into hydrogen and oxygen, which can easily cause chemical explosions and physical explosions, such as steam flash explosions. Therefore, preventing aluminum liquid leakage can ensure the safe production of enterprises, so it is necessary to obtain the degree of safe production risk in the aluminum bar casting process in a timely and accurate manner.

[0044] In order to conduct real-time safety monitoring of aluminum bar casting, to better prevent aluminum liquid leakage and ensure safe production of enterprises, the present invention provides an aluminum bar casting safety monitoring method, a monitoring system and a readable storage medium, such as Figure 1 As shown, the aluminum rod casting safety monitoring method comprises the following steps:

[0045] S1, obtaining the basic risk coefficients of different target areas in the aluminum bar smelting and casting process. The different target areas can be divided according to the process flow of aluminum bar smelting and casting, including but not limited to the melting furnace, aluminum liquid outflow outlet, outflow trough, guide trough, casting machine, cooling water pool and technician operation area. The basic risk coefficient can be set and adjusted by the technician based on experience.

[0046] Preferably, the basic risk coefficient can be determined according to the total number of warnings and fault anomalies within a preset time period.

[0047] S2, obtaining multi-dimensional real-time parameters of different target areas during the aluminum rod melting and casting process, and extracting real-time parameter characteristic values ​​of the multi-dimensional real-time parameters.

[0048] The multi-dimensional real-time parameters are set by technical personnel according to different target areas, including but not limited to temperature and humidity, liquid level, pressure, vibration and flow rate. For example, for the cooling water pool, the multi-dimensional real-time parameters include but are not limited to cooling water temperature and cooling water level; for the outflow trough and guide trough, the multi-dimensional real-time parameters include but are not limited to aluminum liquid temperature, flow rate and liquid level.

[0049] S3, obtaining a safety risk index of the target area according to the real-time parameter characteristic value.

[0050] For the target area, the safety risk index can be determined based on the size relationship between the real-time parameter characteristic value and the preset parameter characteristic warning value and / or the speed at which the real-time parameter characteristic value approaches the preset parameter characteristic warning value. Generally speaking, the closer the real-time parameter characteristic value is to the preset parameter characteristic warning value, the greater the safety risk index; the faster the speed at which the real-time parameter characteristic value approaches the preset parameter characteristic warning value and exceeds the preset speed threshold, the greater the safety risk index can also be considered.

[0051] Of course, the safety risk index can also be obtained based on the real-time parameter characteristic value and by comprehensively considering other factors related to the safety risk of aluminum liquid casting, such as abnormal warning situations in the past period of time.

[0052] S4: Obtain the security risk level of the target area according to the security risk index and the basic risk coefficient.

[0053] Specifically, based on the basic risk coefficient, the larger the safety risk index is, the higher the safety risk level of the target area is. That is, the safety risk level of the target area is proportional to the safety risk index. The safety risk level can be used as a dependent variable, and one of the safety risk index and the basic risk coefficient can be used as an independent variable to obtain the safety risk level through a power function or an exponential function.

[0054] S5, performing real-time safety monitoring on aluminum rod casting according to the safety risk levels of different target areas.

[0055] Specifically, the corresponding monitoring resources can be called in a targeted manner according to the security risk levels of different target areas. For example, for target areas with higher security risk levels, the real-time monitoring frequency and visual computing processing resources (including but not limited to the number of monitoring cameras and computer memory) are increased accordingly to better perform real-time safety monitoring of aluminum rod casting.

[0056] The safety risk index of the target area is obtained through the real-time parameter characteristic value, and the safety risk level of the target area is obtained and updated in real time to perform real-time safety monitoring of aluminum bar casting. In addition, compared with the possible misjudgment or inadequate monitoring of aluminum bar casting based on a single-dimensional parameter, the method of the present invention is based on the real-time parameter characteristic values ​​of multi-dimensional real-time parameters of different target areas to obtain the safety risk index of the target area, and can also obtain a more accurate safety risk level, avoiding the problem of misjudgment or inadequate monitoring.

[0057] To summarize, the aluminum rod casting safety monitoring method obtains multi-dimensional real-time parameters of different target areas during the aluminum rod casting process, and obtains the safety risk index of the target area according to the real-time parameter characteristic values ​​of the multi-dimensional real-time parameters, and obtains the safety risk level of the target area based on the safety risk index and the basic risk coefficient. Finally, according to the safety risk level of different target areas, the safety production risk level in the aluminum rod casting process can be obtained in a timely and accurate manner, so as to perform real-time safety monitoring of aluminum rod casting, prevent leakage of molten aluminum, ensure safe production, and reduce casualties and economic losses.

[0058] As a preferred technical solution, in step S3, as Figure 2 As shown, the specific method for obtaining the security risk index of the target area according to the real-time parameter characteristic value includes the following steps:

[0059] S30, obtaining parameter feature warning values ​​in each dimension of the target area; the parameter feature warning values ​​are set by technical personnel based on actual experience.

[0060] S31, obtaining the fault anomaly processing rate and fault anomaly frequency of the target area.

[0061] Fault exception handling rate = fault exception handling times / total fault exception times. Fault exception frequency is obtained by obtaining the total fault exception times in a preset time period, that is, fault exception frequency = total fault exception times / preset time period.

[0062] S32, obtaining a safety risk index of a target area according to the real-time parameter characteristic value, the parameter characteristic warning value, the fault abnormality processing rate, and the fault abnormality frequency.

[0063] Preferably, the security risk index ,

[0064] in, Indicates the number of dimensions, Indicates Real-time parameter characteristic values ​​in dimensions, Indicates Correction value of the real-time parameter characteristic value in dimensions, Indicates Parameter feature warning values ​​under dimensions, Indicates the fault exception handling rate, Indicates the fault exception processing rate adjustment coefficient, Indicates the abnormal frequency of faults. Indicates the fault abnormal frequency adjustment coefficient, Indicates the preset parameter feature warning threshold, Represents a natural constant.

[0065] pass The safety risk index is obtained by comprehensively considering factors including real-time parameter characteristic values, fault abnormality processing rate and fault abnormality frequency, so as to obtain a more accurate and actual safety risk index, thereby further improving the efficiency and accuracy of real-time safety monitoring of aluminum rod casting.

[0066] As a preferred technical solution, the security risk level of the target area is ;in, represents the basic risk coefficient, Represents the rounding function.

[0067] Preferably, the preset parameter feature warning threshold is based on the formula Seek, It is a preset constant and its value range is [0.1,0.3].

[0068] Specifically, the preset constant It can be 0.1, 0.2 or 0.3. Preferably, the preset constant =0.2, which is the preset parameter feature warning threshold .

[0069] Security risk level The larger the value, the higher the risk of the target area. After calculating the security risk level, the security risk level can be sent to the mobile smart terminal bound to the technician or monitoring personnel. It can help technicians or monitoring personnel to clearly understand and judge the safety risk situation of the target area during the aluminum rod casting process.

[0070] The present invention also provides an aluminum bar casting safety monitoring system for implementing the aluminum bar casting safety monitoring method. Figure 3 As shown, it includes a data acquisition module, a feature value acquisition module, a risk index acquisition module and a security monitoring module.

[0071] The data acquisition module is used to obtain the basic risk coefficients of different target areas during the aluminum rod casting process, and to obtain the multi-dimensional real-time parameters of different target areas during the aluminum rod casting process; the characteristic value extraction module is used to extract the real-time parameter characteristic values ​​of the multi-dimensional real-time parameters; the risk index acquisition module is used to obtain the safety risk index of the target area according to the real-time parameter characteristic values.

[0072] The risk level acquisition module is used to obtain the safety risk level of the target area according to the safety risk index and the basic risk coefficient; the safety monitoring module is used to perform real-time safety monitoring of aluminum rod casting according to the safety risk levels of different target areas.

[0073] For the target area, the safety risk index can be determined based on the size relationship between the real-time parameter characteristic value and the preset parameter characteristic warning value and / or the speed at which the real-time parameter characteristic value approaches the preset parameter characteristic warning value. Generally speaking, the closer the real-time parameter characteristic value is to the preset parameter characteristic warning value, the greater the safety risk index; the faster the speed at which the real-time parameter characteristic value approaches the preset parameter characteristic warning value and exceeds the preset speed threshold, the greater the safety risk index can also be considered.

[0074] According to the security risk levels of different target areas, corresponding monitoring resources can be called in a targeted manner. For example, for target areas with higher security risk levels, the real-time monitoring frequency and visual computing processing resources (including but not limited to the number of monitoring cameras and computer memory) are increased accordingly to better perform real-time safety monitoring of aluminum rod casting.

[0075] The safety risk index of the target area is obtained through the real-time parameter characteristic value, and the safety risk level of the target area is obtained and updated in real time to perform real-time safety monitoring of aluminum bar casting. In addition, compared with the possible misjudgment or inadequate monitoring of aluminum bar casting based on a single-dimensional parameter, the method of the present invention is based on the real-time parameter characteristic values ​​of multi-dimensional real-time parameters of different target areas to obtain the safety risk index of the target area, and can also obtain a more accurate safety risk level, avoiding the problem of misjudgment or inadequate monitoring.

[0076] Preferably, the risk index acquisition module includes a characteristic warning value acquisition unit, a fault abnormality parameter acquisition unit and a risk index acquisition unit.

[0077] The characteristic warning value acquisition unit is used to obtain the parameter characteristic warning value in each dimension of the target area; the fault abnormality parameter acquisition unit obtains the fault abnormality processing rate and the fault abnormality frequency of the target area; the risk index acquisition unit is used to obtain the safety risk index of the target area according to the real-time parameter characteristic value, the parameter characteristic warning value, the fault abnormality processing rate and the fault abnormality frequency.

[0078] The safety risk index ,

[0079] in, Indicates the number of dimensions, Indicates Real-time parameter characteristic values ​​in dimensions, Indicates Correction value of the real-time parameter characteristic value in dimensions, Indicates Parameter feature warning values ​​under dimensions, Indicates the fault exception handling rate, Indicates the fault exception processing rate adjustment coefficient, Indicates the abnormal frequency of faults. Indicates the fault abnormal frequency adjustment coefficient, Indicates the preset parameter feature warning threshold, Represents a natural constant.

[0080] pass The safety risk index is obtained by comprehensively considering factors including real-time parameter characteristic values, fault abnormality processing rate and fault abnormality frequency, so as to obtain a more accurate and actual safety risk index, thereby further improving the efficiency and accuracy of real-time safety monitoring of aluminum rod casting.

[0081] Preferably, the risk level acquisition module is based on the formula Obtain the security risk level of the target area; where: Indicates the security risk level of the target area. represents the basic risk coefficient, Represents the rounding function.

[0082] The preset parameter feature warning threshold is based on the formula Seek, It is a preset constant and its value range is [0.1,0.3].

[0083] Specifically, the preset constant It can be 0.1, 0.2 or 0.3. Preferably, the preset constant =0.2, which is the preset parameter feature warning threshold

[0084] To summarize, the aluminum rod casting safety monitoring system obtains multi-dimensional real-time parameters of different target areas during the aluminum rod casting process, obtains the safety risk index of the target area according to the real-time parameter characteristic values ​​of the multi-dimensional real-time parameters, and obtains the safety risk level of the target area based on the safety risk index and the basic risk coefficient. Finally, according to the safety risk level of different target areas, the safety production risk level in the aluminum rod casting process can be obtained in a timely and accurate manner, so as to perform real-time safety monitoring of aluminum rod casting, prevent aluminum liquid leakage, ensure safe production, and reduce casualties and economic losses.

[0085] The present invention also provides a computer-readable storage medium storing a computer program, wherein the computer program implements the aluminum rod casting safety monitoring method when executed by a processor.

[0086] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0087] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the invention patent. It should be pointed out that for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached claims.

Claims

1. A method for monitoring the safety of aluminum rod casting, characterized in that: The aluminum rod casting safety monitoring method comprises the following steps: Obtain the basic risk factors of different target areas during the aluminum bar casting process; Acquire multi-dimensional real-time parameters of different target areas during the aluminum bar casting process, and extract real-time parameter characteristic values ​​of the multi-dimensional real-time parameters; Obtaining a safety risk index of the target area according to the real-time parameter characteristic value; Obtaining the security risk level of the target area according to the security risk index and the basic risk coefficient; Real-time safety monitoring of aluminum rod casting according to the safety risk level of different target areas; The specific method for obtaining the security risk index of the target area according to the real-time parameter characteristic value comprises the following steps: Obtain parameter feature warning values ​​in each dimension of the target area; Obtain the fault exception handling rate and fault exception frequency of the target area; Obtaining a safety risk index of a target area according to the real-time parameter characteristic value, the parameter characteristic warning value, the fault abnormality processing rate, and the fault abnormality frequency; The safety risk index , in, Indicates the number of dimensions, Indicates Real-time parameter characteristic values ​​in dimensions, Indicates Correction value of the real-time parameter characteristic value in dimensions, Indicates Parameter feature warning values ​​under dimensions, Indicates the fault exception handling rate, Indicates the fault exception handling rate adjustment coefficient, Indicates the abnormal frequency of faults. Indicates the fault abnormal frequency adjustment coefficient, Indicates the preset parameter feature warning threshold, Represents a natural constant.

2. A method for monitoring the safety of aluminum rod casting according to claim 1, characterized in that: The security risk level of the target area ;in, represents the basic risk coefficient, Represents the rounding function.

3. A method for monitoring the safety of aluminum rod casting according to claim 2, characterized in that: The preset parameter feature warning threshold is based on the formula Seek, It is a preset constant and its value range is [0.1,0.3].

4. An aluminum bar casting safety monitoring system, used to implement the aluminum bar casting safety monitoring method according to any one of claims 1 to 3, characterized in that: The aluminum rod casting safety monitoring system comprises: A data acquisition module is used to obtain the basic risk coefficients of different target areas during the aluminum bar casting process, and to obtain multi-dimensional real-time parameters of different target areas during the aluminum bar casting process; A feature value extraction module, used to extract real-time parameter feature values ​​of multi-dimensional real-time parameters; A risk index acquisition module, used to acquire a safety risk index of a target area according to the real-time parameter characteristic value; A risk level acquisition module, used to acquire the security risk level of the target area according to the security risk index and the basic risk coefficient; A safety monitoring module, used for real-time safety monitoring of aluminum rod casting according to the safety risk levels of different target areas; The risk index acquisition module includes: A characteristic warning value acquisition unit is used to obtain a parameter characteristic warning value in each dimension of the target area; A fault anomaly parameter acquisition unit, which acquires the fault anomaly processing rate and fault anomaly frequency of the target area; A risk index acquisition unit, configured to acquire a safety risk index of a target area according to the real-time parameter characteristic value, the parameter characteristic warning value, the fault abnormality processing rate, and the fault abnormality frequency; The safety risk index , in, Indicates the number of dimensions, Indicates Real-time parameter characteristic values ​​in dimensions, Indicates Correction value of the real-time parameter characteristic value in dimensions, Indicates Parameter feature warning values ​​under dimensions, Indicates the fault exception handling rate, Indicates the fault exception handling rate adjustment coefficient, Indicates the abnormal frequency of faults. Indicates the fault abnormal frequency adjustment coefficient, Indicates the preset parameter feature warning threshold, Represents a natural constant.

5. The aluminum bar casting safety monitoring system according to claim 4, characterized in that: The risk level acquisition module is based on the formula Obtain the security risk level of the target area; where: Indicates the security risk level of the target area. represents the basic risk coefficient, Represents the rounding function.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the aluminum rod casting safety monitoring method according to any one of claims 1 to 3 is implemented.

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