Self-identification control method and system for alcohol production equipment

Abstract

The embodiment of the present application provides a kind of alcohol production equipment self-identification control method and system, belong to automatic control equipment technical field.The self-identification control method includes the following steps: obtaining and analyzing the situation in monitoring area, determine the priority level and determine the response mechanism corresponding to priority level, when target object is identified, the priority level is one of first priority level, second priority level and third priority level;Analysis target object's type, motion state and stationary state, and determine one of first response mechanism corresponding to first priority level, second response mechanism corresponding to second priority level and third response mechanism corresponding to third priority level according to analysis result;Response mechanism is executed, including the opening and closing of alcohol production equipment manhole, sending early warning signal.The present application fully considers the production process of alcohol production equipment and the environment around alcohol production equipment, with the characteristics of accurate and efficient, energy saving, safety.

Description

Technical Field

[0001] This invention relates to the field of automatic control equipment technology, and specifically to a self-identification control method and system for alcohol production equipment. Background Technology

[0002] Alcohol production typically takes place in fermentation tanks, most of which are located outdoors. During production, the manholes of these tanks need to be opened and closed frequently. During sterilization, the tank lids need to be opened to prevent negative pressure from condensation at high or low temperatures, which could damage the tank. During fermentation, the lids need to be closed to prevent carbon dioxide and alcohol fumes from entering the atmosphere through the manholes, causing waste and environmental pollution. However, improper opening or closing of the manholes can cause personnel who accidentally enter the production area to inhale harmful gases, and allow insects, rodents, and other animals to enter the fermentation tanks, interfering with the purity of the alcohol. Opening the manholes can also cause significant differences between the internal and external environments, thus affecting the quality of the alcohol.

[0003] To ensure safe and efficient alcohol production, it is necessary to inspect and maintain all components of the fermentation tank and its surrounding environment to ensure the fermentation tank exists in a suitable and safe environment. However, current maintenance processes are mostly carried out manually, relying on experience and subjective judgment, which leads to low production efficiency and cannot guarantee the safety of operators. Summary of the Invention

[0004] The purpose of this invention is to provide a self-identification control method and system for alcohol production equipment. The problem it addresses is that existing alcohol production equipment relies on manual operation for manhole switches, resulting in high subjectivity and inefficiency in automated control. Furthermore, there is no dedicated automated control method for alcohol production equipment. This method fully considers the production process and the surrounding environment of the alcohol production equipment, offering advantages of precision, efficiency, and energy saving.

[0005] To achieve the above objectives, in a first aspect, the alcohol production equipment self-identification control method provided by the embodiments of the present invention includes the following steps: acquiring the situation within the monitoring area; analyzing the situation within the monitoring area, determining the priority level of the response and determining the response mechanism corresponding to the priority level; and executing the response mechanism, including controlling the opening and closing of the manhole of the alcohol production equipment and / or issuing an early warning signal.

[0006] Optionally, the monitoring area includes an effective area, an intermediate area, and an invalid area, with the effective area, intermediate area, and invalid area being in descending order of distance from the manhole of the alcohol production equipment. In this case, the situation within the monitoring area is obtained by: detecting the situation within the effective area at a first detection frequency, detecting the situation within the intermediate area at a second detection frequency, and detecting the situation within the invalid area at a third detection frequency, with the first detection frequency being less than the second detection frequency being less than the third detection frequency.

[0007] Optionally, analyzing the situation within the monitoring area, determining the priority level of the response, and determining the corresponding response mechanism include: performing target detection on the detected situation within the monitoring area based on computer vision, and when a target is identified, the priority level of the response is one of the first priority level, the second priority level, and the third priority level; analyzing the type, motion state, and static state of the target, and determining one of the first response mechanism corresponding to the first priority level, the second response mechanism corresponding to the second priority level, and the third response mechanism corresponding to the third priority level based on the analysis results.

[0008] Optionally, when a target is identified within the valid area, the priority level for response is determined to be the first priority level. The first response mechanism corresponding to the first priority level includes at least one of closing the manhole, issuing a first warning signal, linking external devices, recording the event and time, and tracking the target. When a target is identified within the intermediate area, the priority level for response is determined to be the second priority level. The second response mechanism corresponding to the second priority level includes at least one of opening the manhole, tracking the target, upgrading the priority level for response to the first priority level, and issuing a second warning signal. When a target is identified within the invalid area, the priority level for response is determined to be the third priority level. The third response mechanism corresponding to the third priority level includes at least one of issuing a third warning signal, upgrading the priority level for response to the second priority level, and recording the location and time of the target.

[0009] Optionally, a first response mechanism corresponding to the first priority level is determined, including: when a target object is detected approaching a manhole at a speed greater than a first preset speed and / or the target object is a person and stays for a period of time greater than a first preset time, the response mechanism includes closing the manhole, issuing a first warning signal, linking external devices, and recording the event and time; when a target object is detected as an animal and stays for a period of time greater than a second preset time, the response mechanism includes issuing a first warning signal, linking external devices, recording the event and time, and tracking the target object; when a target object is detected at a speed less than a first preset speed and / or the target is neither a person nor an animal and stays for a period of time greater than a third preset time, the response mechanism includes issuing a first warning signal and recording the event and time; and the first preset time is less than the second preset time and less than the third preset time.

[0010] Optionally, a second response mechanism corresponding to the second priority level is determined, including: when the target object is detected to have stayed for a longer than a fourth preset time and / or the target object is not a person and / or the target object is slower than the second preset speed, the response mechanism includes issuing a second warning signal and opening a manhole; when the target object is detected to have stayed for a longer than a fifth preset time and / or the target object is a person and / or the target object is faster than the second preset speed and / or accelerates towards the effective area, the response mechanism includes upgrading the priority level to the first priority level, tracking the target object, and issuing a second warning signal; and the fourth preset time is less than the fifth preset time.

[0011] Optionally, the third response mechanism corresponding to the third priority level includes: when the target object is detected to stay for a period of time longer than the sixth preset time and / or less than the third preset speed, the response mechanism includes issuing a third warning signal and recording the position and time of the target object; when the target object is detected to be moving at a speed greater than the third preset speed and / or accelerating towards the middle area, the response mechanism includes issuing a third warning signal and upgrading the response priority level to the second priority level; when the target object is detected to be non-personnel, the response mechanism includes recording the position and time of the target object.

[0012] Optionally, the motion and static states of the target object can be analyzed by combining the target detection algorithm with the time series model; and the type of the target object can be analyzed by using a deep learning model.

[0013] Optionally, the self-identification control method for alcohol production equipment also includes the following steps: acquiring environmental parameters near the manhole of the alcohol production equipment; analyzing the environmental parameters, determining the priority level to be responded to as the fourth priority level when the parameters exceed the preset environmental parameters, determining the fourth response mechanism corresponding to the fourth priority level, the fourth response mechanism including closing the manhole and issuing a first warning signal; and executing the fourth response mechanism.

[0014] Secondly, the alcohol production equipment self-identification control system provided in the embodiments of the present invention includes: a detection module for detecting the situation in the monitoring area; an execution module for executing a response mechanism, including controlling the opening and closing of the manhole of the alcohol production equipment and / or issuing an early warning signal; and a control module electrically connected to the detection module and the execution module respectively, and executing the content according to the above method.

[0015] Through the above technical solution, the self-identification control method for alcohol production equipment disclosed in this invention fully considers the complex phenomena of personnel or other living beings accidentally entering the production area due to the large surrounding area of ​​the alcohol production equipment, causing personal and equipment safety hazards, and small animals entering the fermentation tank through manholes, affecting production quality. It also addresses the characteristic that the opening and closing of manholes needs to be performed at the appropriate time. Therefore, a control method is established where the entire process from information acquisition to the execution response mechanism relies entirely on automated control. For different situations within the monitored area, different priority levels are established based on the degree of danger of each situation. Then, a corresponding response mechanism is determined. This multi-level response mechanism can accurately and efficiently handle complex situations within the monitoring area. It can not only respond quickly and promptly to the highest-dangerous situations based on the highest-priority response mechanism, but also avoid wasting resources by using high-priority response mechanisms to handle lower-dangerous situations, thus saving energy and computing resources. Furthermore, based on the detection results of environmental information within the monitoring area, environmental parameters can be accurately considered to find a more appropriate time for opening and closing manholes, thereby enhancing the quality of produced alcohol, such as improving purity and effectiveness.

[0016] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this disclosure or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this disclosure. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the basic process of the self-identification control method for alcohol production equipment in Example 1;

[0019] Figure 2 This is a schematic diagram of the basic process of the self-identification and control method for alcohol production equipment within the effective area of ​​Example 1;

[0020] Figure 3 This is a schematic diagram of the basic process of the self-identification control method for alcohol production equipment in the intermediate area of ​​Example 1;

[0021] Figure 4 This is a schematic diagram of the basic process of the self-identification and control method for alcohol production equipment in the invalid area of ​​Example 1;

[0022] Figure 5 This is a schematic diagram of the basic process of the self-identification control method for alcohol production equipment in Example 2;

[0023] Figure 6 This is a schematic diagram of the main structure of the self-identification control system for alcohol production equipment.

[0024] Explanation of reference numerals in the attached figures

[0025] 1. Control module; 2. Detection module; 3. Execution module. Detailed Implementation

[0026] 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 a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0027] It should be noted that all directional indications in the embodiments of the present invention, such as up, down, left, right, front, back, etc., are only used to explain the relative positional relationship and movement of the components in a specific posture as shown in the attached figure. If the specific posture changes, the directional indication will also change accordingly.

[0028] Furthermore, the use of terms such as "first" and "second" in this invention is for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of that feature. Additionally, the technical solutions of the various embodiments can be combined with each other, but only on the basis of being achievable by those skilled in the art. When the combination of technical solutions is contradictory or impossible to implement, such a combination of technical solutions should be considered non-existent and not within the scope of protection claimed by this invention.

[0029] Please see Figure 1 The self-identification control method for alcohol production equipment of the present invention includes the following steps:

[0030] First, the situation within the monitoring area is acquired. This monitoring area includes alcohol production equipment. Acquiring information about the monitoring area can be done by acquiring image or video streams using image acquisition equipment, collecting environmental parameters using data acquisition equipment, or collecting data on the operational status and parameters of other equipment within the monitoring area.

[0031] Secondly, the situation within the monitoring area is analyzed to determine the priority levels and corresponding response mechanisms. This process fully considers the safety and sealing requirements of alcohol production, as well as the fact that the monitoring area is significantly larger than the floor space occupied by the alcohol production equipment. To avoid wasting resources and reducing efficiency, the urgency level of each monitoring area is determined based on its specific circumstances. The more likely a safety and sealing issue is to arise, the more urgent the situation, and the higher the priority level the control system needs to address. Different priority levels require different response measures to ensure that different response mechanisms are used to address monitoring areas of varying urgency levels. This approach offers high flexibility, eliminates the need for human evaluation, provides high accuracy and control, saves significant computational resources, and is highly efficient.

[0032] The response mechanism is then executed, including controlling the opening and closing of manholes in the alcohol production equipment and / or issuing warning signals. The alcohol production equipment can be a fermentation tank for producing alcohol through fermentation or a reaction apparatus for producing alcohol through synthesis. For example, in the most urgent situation, the manholes must be kept closed while issuing a warning signal; in a more urgent situation, the manholes can be opened, and only a warning signal can be issued; in non-urgent situations, no operation is required, only recording is performed.

[0033] Specifically, to improve processing efficiency and conserve computing resources, the monitoring area containing the alcohol production equipment is divided into different zones, each with its own processing procedure. Specifically, based on distance from the manhole of the alcohol production equipment, the monitoring area is divided into invalid zone, intermediate zone, and valid zone, from furthest to closest.

[0034] Based on the above, the specific methods for obtaining information within the monitoring area are as follows: Detection is performed at a first detection frequency within the effective area, at a second detection frequency within the intermediate area, and at a third detection frequency within the invalid area, with the first detection frequency being less than the second, which is less than the third. The effective area is closest to the manhole; therefore, when an anomaly occurs in this area, detection should be performed most frequently to facilitate timely system establishment and execution of response measures. Thus, the lowest first detection frequency is used for detection within the effective area. The same principle applies to the intermediate and invalid areas.

[0035] This invention analyzes monitoring area data from two aspects and proposes two different implementation examples for establishing and executing response mechanisms. Of course, other aspects of data within the monitoring area can also adopt a decision-making process similar to the embodiments proposed in this invention to obtain response mechanisms. The following sections elaborate on two parallel and independent embodiments: Embodiment 1 and Embodiment 2.

[0036] Example 1: Priority levels are determined based on the status of targets within the monitoring area, and a corresponding response mechanism is established. Data acquisition, data preprocessing, object detection, feature extraction, behavior analysis, and decision-making processes are integrated into a unified solution. Traditional image processing algorithms (such as background subtraction) are easily affected by changes in lighting, while deep learning models are more robust to diverse scenes. Therefore, this invention primarily employs lightweight deep learning models.

[0037] Analyze the situation within the monitoring area, determine the priority level of the response, and establish the corresponding response mechanism as follows:

[0038] This embodiment utilizes computer vision to detect objects within the monitored area. Deep learning models such as YOLO and SSD are employed for real-time object detection. When a target is detected, its priority level is determined by one of three priorities: first, second, or third. Specifically, if the target is detected within the valid area, the priority level is first; if it is detected within the intermediate area, the priority level is second; and if it is detected within the invalid area, the priority level is third. The first priority level has the highest urgency, followed by the second, and the third priority level has the lowest.

[0039] The target object's type, movement state, and stationary state are analyzed. Based on the analysis results, one of the following responses is determined: a first response mechanism corresponding to the first priority level, a second response mechanism corresponding to the second priority level, and a third response mechanism corresponding to the third priority level. The urgency level is predicted based on the target object's type, movement state, and stationary state, and the specific content of the response mechanism is then determined. Specifically, the first response mechanism corresponding to the first priority level includes at least one of closing the manhole, issuing a first warning signal, linking external equipment, recording the event and time, and tracking the target object; the second response mechanism corresponding to the second priority level includes at least one of opening the manhole, tracking the target object, escalating the response priority to the first priority level, and issuing a second warning signal; the third response mechanism corresponding to the third priority level includes at least one of issuing a third warning signal, escalating the response priority to the second priority level, and recording the target object's position and time. In this embodiment, the warning signals are divided into three different types, with the first warning signal having the highest urgency, the second warning signal the next highest, and the third warning signal the lowest. Therefore, the methods of issuing the warning signals can differ. For example, the first warning signal can be sent simultaneously to the central control room and each process stage in a way that is sufficient to attract attention, such as sound or display; the third warning signal can be sent to the central control room only by display.

[0040] In this embodiment, targets are classified in detail based on bounding box features. Target types include people, animals, and others. The motion and stationary states of targets are analyzed using a target detection algorithm and a time series model (such as an LSTM neural network). Motion states include speed and direction of movement, while stationary states include duration of stillness. The dynamic changes of objects over time are analyzed to extract more complex behavioral features. The target's trajectory is tracked using Kalman filtering or DeepSORT target tracking algorithms to achieve continuous analysis of dynamic behavior, such as whether it approaches the effective or intermediate area; whether it lingers or stays for extended periods within the effective, intermediate, or ineffective areas. Deep learning models are used to determine if abnormal behavior exists, such as rapidly approaching the effective or intermediate area, or staying within the effective or intermediate area for extended periods. By using deep learning and machine learning methods to collect, analyze, and process the above operational data in real time, it is possible to accurately determine whether a target has entered the monitoring area, allowing for proactive measures and sending opening or closing commands to the fermenter manholes.

[0041] Please see Figure 2 To determine the first response mechanism, based on the above, a first response mechanism corresponding to the first priority level is determined. The first priority level has the highest urgency, and its corresponding first response mechanism should be more timely and comprehensive. A stationary target within the effective area will directly affect the normal operation of the equipment, such as blocking manholes or interfering with switch operation. Simultaneously, a rapidly moving target may cause operational accidents, such as accidental switch activation or impact with manhole equipment. Therefore, the first response mechanism may include:

[0042] When a target object is detected approaching the manhole at a speed greater than a first preset threshold and / or the target object is a person and remains there for a period of time exceeding a first preset threshold, the response mechanism includes closing the manhole, issuing a first warning signal, triggering external equipment, and recording the event and time. The triggered external equipment may be a deportation device.

[0043] When the target object is identified as an animal and stays for more than the second preset stay time, the response mechanism includes issuing a first warning signal, linking external devices, recording the event and time, and tracking the target object;

[0044] When a target is detected to be moving at a speed less than a first preset speed and / or the target is neither a person nor an animal and the dwell time is greater than a third preset dwell time, the response mechanism includes issuing a first warning signal and recording the event and time; wherein the first preset dwell time is less than the second preset dwell time and the third preset dwell time.

[0045] Please see Figure 3 The process for determining the second response mechanism, as described above... Figure 2Based on the established first-priority response mechanism, a second-priority response mechanism is established corresponding to the second-priority response. The second-priority response mechanism is lower than the first-priority response mechanism. A target's presence or lingering in the intermediate zone, or its approach to the effective zone, may indicate potential risk. When a target approaches the effective zone, a timely assessment is necessary, at which point the response level can be escalated to the first effective level. Therefore, the second-priority response mechanism may include:

[0046] When a target is detected to remain for a period of time longer than the fourth preset time and / or the target is not a person and / or the target is less than the second preset speed, the response mechanism includes issuing a second warning signal and opening the manhole; the warning level of the second warning signal should be lower than that of the second warning signal.

[0047] When a target is detected to remain for more than the fifth preset dwell time (the fourth preset dwell time is less than the fifth preset dwell time) and / or the target is a person and / or the target is moving at a speed greater than the second preset speed and / or accelerating towards the effective area, the response mechanism includes escalating the response priority to the first priority level, tracking the target, and issuing a second warning signal. After the response priority level is escalated to the first priority level, the first response mechanism is adopted, which is exactly the same as the process for determining the first response mechanism described above.

[0048] Please see Figure 4 To determine the process of the third response mechanism, as described above... Figure 2 Establish a first response mechanism corresponding to the first priority level, such as... Figure 3 Based on the established second response mechanism corresponding to the second priority level, a target object remaining stationary or hovering in an invalid area generally has no direct impact on equipment but can be recorded as part of environmental monitoring. However, when the target object approaches the central area, timely assessment is necessary, which can escalate the response to the second effective level and subsequently to the first priority level. Therefore, the third response mechanism includes:

[0049] When a target object is detected to remain for a period of time longer than the sixth preset time and / or less than the third preset speed, the response mechanism includes issuing a third warning signal and recording the position and time of the target object.

[0050] When a target object is detected to be moving at a speed greater than a third preset speed and / or accelerating toward the central area, the response mechanism includes issuing a third warning signal and upgrading the response priority level to a second priority level. After the response priority level is upgraded to a second priority level, a second response mechanism corresponding to the second priority level is determined according to the above process. When the second response mechanism includes upgrading the response priority level to a first priority level, a first response mechanism corresponding to the first priority level is determined according to the above process.

[0051] When a non-person is identified as a target object, the response mechanism includes recording the target object's location and time.

[0052] Example 2: Priority levels are determined based on the environment near manholes within the monitoring area, and a corresponding response mechanism is established. Please refer to [link / reference]. Figure 5 The specific process includes:

[0053] First, obtain the environmental parameters near the manhole of the alcohol production equipment, including but not limited to pressure, temperature, and humidity.

[0054] Secondly, environmental parameters are analyzed. When these parameters exceed preset limits, the priority level for response is determined as the fourth priority level. A corresponding fourth response mechanism is then established, which includes closing manholes and issuing a first warning signal. For example, if the actual humidity parameter exceeds the preset limit, the manholes need to be closed to prevent a decrease in alcohol concentration and impact on alcohol production. Therefore, the manholes need to be closed, and a first warning signal needs to be issued to alert staff and facilitate timely follow-up measures.

[0055] Finally, the fourth response mechanism is executed. Once generated, the fourth response mechanism is executed immediately, such as closing the manhole or issuing the first warning signal.

[0056] Please see Figure 6 This invention also discloses a self-identification control system for alcohol production equipment, including a control module 1, a detection module 2, and an execution module 3. The detection module 2 is used to detect the situation within the monitoring area. In this embodiment, the detection module 2 can be a camera, with the camera height from the ground being 3-7 meters and the camera angle less than 30 degrees. The execution module 3 is used to execute a response mechanism, including controlling the opening and closing of the manhole of the alcohol production equipment and / or issuing a warning signal. In this embodiment, the execution module 3 is located at the manhole. The control module 1 is electrically connected to both the detection module 2 and the execution module 3, and is used to execute the methods mentioned above. In this embodiment, the control module 1 can preprocess the data collected by the camera to enhance the image or video quality.

[0057] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0058] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0059] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A self-identification control method for alcohol production equipment, characterized in that, The self-identification and control method for alcohol production equipment includes the following steps: Obtain information about the monitoring area; Analyze the situation within the monitoring area, determine the priority level of the response, and determine the response mechanism corresponding to the priority level; The response mechanism includes controlling the opening and closing of the manholes in the alcohol production equipment and / or issuing warning signals.

2. The self-identification control method for alcohol production equipment according to claim 1, characterized in that, The monitoring area includes an effective area, an intermediate area, and an invalid area, and the distances of the effective area, the intermediate area, and the invalid area from the manhole of the alcohol production equipment are from closest to farthest. The acquisition of information within the monitoring area includes: The detection frequency is a first detection frequency to detect the situation in the effective area, a second detection frequency to detect the situation in the intermediate area, and a third detection frequency to detect the situation in the invalid area, wherein the first detection frequency is less than the second detection frequency and the third detection frequency.

3. The self-identification control method for alcohol production equipment according to claim 2, characterized in that, Analyzing the situation within the monitoring area, determining the priority level of the response, and identifying the corresponding response mechanism include: Based on computer vision, target detection is performed on the detected situation within the monitoring area. When a target object is identified, the priority level to be applied is one of the first priority level, the second priority level, and the third priority level. The type, motion state, and stationary state of the target object are analyzed, and based on the analysis results, one of the following is determined: a first response mechanism corresponding to the first priority level, a second response mechanism corresponding to the second priority level, and a third response mechanism corresponding to the third priority level.

4. The self-identification control method for alcohol production equipment according to claim 3, characterized in that, When a target object is detected within the effective area, the priority level for the response is determined to be the first priority level; the first response mechanism corresponding to the first priority level includes at least one of closing the manhole, issuing a first warning signal, linking external devices, recording the event and time, and tracking the target object. When a target object is detected within the intermediate area, the priority level for the response is determined to be the second priority level; the second response mechanism corresponding to the second priority level includes at least one of opening a manhole, tracking the target object, escalating the response priority level to the first priority level, and issuing a second warning signal. When a target object is identified within the invalid area, the priority level to be responded to is the third priority level; the third response mechanism corresponding to the third priority level includes at least one of issuing a third warning signal, upgrading the priority level to the second priority level, and recording the location and time of the target object.

5. The self-identification control method for alcohol production equipment according to claim 4, characterized in that, Determine the first response mechanism corresponding to the first priority level, including: When the target object is detected to be approaching the manhole at a speed greater than a first preset speed and / or the target object is a person and stays for a period of time greater than a first preset time, the response mechanism includes closing the manhole, issuing a first warning signal, linking external devices, and recording the event and time. When the target object is identified as an animal and stays for more than a second preset time, the response mechanism includes issuing a first warning signal, linking external devices, recording the event and time, and tracking the target object; When the target is detected to be less than a first preset speed and / or the target is neither a person nor an animal and stays for more than a third preset time, the response mechanism includes issuing a first warning signal and recording the event and time. Furthermore, the first preset dwell time is less than the second preset dwell time, which is less than the third preset dwell time.

6. The self-identification control method for alcohol production equipment according to claim 4, characterized in that, Determine a second response mechanism corresponding to the second priority level, including: When the target object is detected to have stayed for a period of time longer than a fourth preset time and / or the target object is not a person and / or the target object is less than a second preset speed, the response mechanism includes issuing a second warning signal and opening the manhole. When the target object is detected to have stayed for more than a fifth preset time and / or the target object is a person and / or the target object is at a speed greater than a second preset speed and / or is accelerating towards the effective area, the response mechanism includes upgrading the priority level to the first priority level, tracking the target object, and issuing a second warning signal; Furthermore, the fourth preset dwell time is less than the fifth preset dwell time.

7. The self-identification control method for alcohol production equipment according to claim 4, characterized in that, The third response mechanism corresponding to the third priority level includes: When the target object is detected to remain for a period of time greater than a sixth preset time and / or less than a third preset speed, the response mechanism includes issuing a third warning signal and recording the position and time of the target object. When the target object is detected to be moving at a speed greater than a third preset speed and / or accelerating toward the central area, the response mechanism includes issuing a third warning signal and upgrading the priority level of the response to a second priority level. When the target object is identified as a non-person, the response mechanism includes recording the location and time of the target object.

8. The self-identification control method for alcohol production equipment according to claim 3, characterized in that, The motion and static states of the target object are analyzed by combining target detection algorithms with time series models; the type of the target object is analyzed using a deep learning model.

9. The self-identification control method for alcohol production equipment according to claim 2, characterized in that, The self-identification and control method for alcohol production equipment also includes the following steps: Obtain environmental parameters near the manhole of the alcohol production equipment; Analyzing the environmental parameters, when they exceed the preset environmental parameters, the priority level for response is determined to be the fourth priority level, and a fourth response mechanism corresponding to the fourth priority level is determined. The fourth response mechanism includes closing the manhole and issuing a first warning signal. Execute the fourth response mechanism.

10. A self-identification control system for alcohol production equipment, characterized in that, include: A detection module, used to detect the situation within the monitoring area; An execution module is used to execute a response mechanism, including controlling the opening and closing of the manhole of the alcohol production equipment and / or issuing a warning signal; A control module, which is electrically connected to the detection module and the execution module respectively, performs the method according to any one of claims 1 to 9.

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