Electrostatic elimination monitoring method, device, equipment and storage medium

Abstract

The present application discloses an electrostatic elimination monitoring method, device, equipment and storage medium, relating to the technical field of system regulation. The method includes: collecting the current electrostatic elimination working conditions of each electrostatic elimination device in a preset working area, and determining an electrostatic anomaly area when it is detected that the corresponding electrostatic elimination device is an abnormal device; based on the production process flow, adjusting the ion balance data of the electrostatic anomaly area through the K-medoids clustering algorithm to generate an electrostatic elimination coordination strategy, and feeding it back to each electrostatic elimination device to eliminate static electricity from the measured product. Since the present application monitors the current electrostatic elimination working conditions of each electrostatic elimination device in real time, adjusts and generates an electrostatic elimination coordination strategy when an abnormal device is detected, and timely feeds it back to each electrostatic elimination device for collaborative processing to reduce the impact brought by the abnormal device. Thus, seamless collaboration between each electrostatic elimination device in each link is achieved, ensuring that the elimination of static electricity can be carried out automatically and continuously throughout the production and processing process.

Description

Technical Field

[0001] This application relates to the technical field of system regulation, and particularly to an electrostatic elimination monitoring method, device, equipment, and storage medium. Background Art

[0002] In the production and processing processes sensitive to static electricity such as the electronics industry, spraying, printing, and textile, there are phenomena such as dust particle pollution and electrostatic discharge damage caused by static electricity, which reduce the efficiency of the product production and processing process. To minimize the electrostatic discharge phenomenon as much as possible, generally, electrostatic detection and static elimination equipment are added during the production and processing process.

[0003] Since the production process of products generally includes multiple links, and each link involves static elimination equipment to solve the electrostatic discharge phenomenon in the current link, the number of static elimination equipment involved in the entire production process is relatively large. Currently, the monitoring of static elimination equipment is generally managed individually one by one. When a certain static elimination equipment fails, if not handled in a timely manner, it will not only affect the current production link, but also further affect the entire production process, resulting in a reduction in the efficiency of the product production and processing process. Summary of the Invention

[0004] The main purpose of this application is to provide an electrostatic elimination monitoring method, device, equipment, and storage medium, aiming to solve the technical problem that the existing monitoring of static elimination equipment is generally managed individually one by one, and when a certain static elimination equipment fails, if not handled in a timely manner, it will affect the entire production process.

[0005] To achieve the above purpose, this application proposes an electrostatic elimination monitoring method, and the method includes:

[0006] Collect the current electrostatic elimination working conditions of each static elimination equipment in a preset working area, where the current electrostatic elimination working conditions include target electrostatic field data and ion balance data;

[0007] When it is detected that the target electrostatic field data reaches a preset electrostatic alarm threshold, determine the corresponding static elimination equipment as an abnormal equipment, and determine an electrostatic abnormal area according to the abnormal equipment and the production process of the measured product in the preset working area;

[0008] Based on the production process, adjust the ion balance data of the electrostatic abnormal area through the K-medoids clustering algorithm to generate an electrostatic elimination coordination strategy;

[0009] Feed back the electrostatic elimination coordination strategy to each static elimination equipment, so that each static elimination equipment eliminates static electricity from the measured product.

[0010] In one embodiment, the step of determining the electrostatic anomaly area according to the production process flow of the product under test of the abnormal device and the preset working area includes:

[0011] Obtain the working mapping position table of each electrostatic elimination device in the preset working area, where the working mapping position table is composed of the production process flow of the product under test in the preset working area and the working points of each electrostatic elimination device;

[0012] Based on the working mapping position table, determine the abnormal working points of the abnormal device;

[0013] According to the working area corresponding to the abnormal working points in the production process flow, determine the electrostatic anomaly area.

[0014] In one embodiment, the step of determining the electrostatic anomaly area according to the working area corresponding to the abnormal working points in the production process flow includes:

[0015] According to the production process flow, determine whether the abnormal working points are in the transfer overlapping process;

[0016] When the abnormal working points are in the transfer overlapping process, determine the first working points of the electrostatic elimination device upstream of the abnormal device and the second working points of the electrostatic elimination device downstream of the abnormal device;

[0017] Take the working area between the abnormal working points and the first working points as the first abnormal area, and take the working area between the abnormal working points and the second working points as the second abnormal area;

[0018] Take the first abnormal area and the second abnormal area as the electrostatic anomaly area.

[0019] In one embodiment, the step of adjusting the ion balance data of the electrostatic anomaly area by the K-medoids clustering algorithm based on the production process flow to generate an electrostatic elimination coordination strategy includes:

[0020] Based on the production process flow, remove the outliers in the ion balance data of the preset working area to obtain the ion balance data after removing the outliers;

[0021] Standardize the ion balance data after removing the outliers by the Z-score method to obtain the standardized data;

[0022] Taking the ion balance data of the electrostatic anomaly area as the center point, cluster the standardized data by the K-medoids clustering algorithm to generate a clustering assignment result;

[0023] According to the clustering assignment result, adjust the static elimination device to generate a static elimination coordination strategy.

[0024] In one embodiment, the step of taking the ion balance data of the static electricity abnormal area as the center point and clustering the standardized data by the K-medoids clustering algorithm to generate a clustering assignment result includes:

[0025] Taking the number of the static elimination devices as the number of clusters and taking the ion balance data of the first abnormal area as the initial center point, clustering the standardized data by the K-medoids clustering algorithm to obtain a first clustering result;

[0026] Taking the minimum static discharge amount as the optimization target, adjusting the ion balance data of the second abnormal area to be the second center point, and clustering the first clustering result again by the K-medoids clustering algorithm to generate a clustering assignment result.

[0027] In one embodiment, before the step of adjusting the ion balance data of the static electricity abnormal area by the K-medoids clustering algorithm based on the production process flow to generate a static elimination coordination strategy, it further includes:

[0028] Collect the air humidity data of the static electricity abnormal area through a humidity sensor;

[0029] Based on the target electrostatic field data of the static electricity abnormal area, adjust the air humidity data to obtain a humidity adjustment strategy;

[0030] Correspondingly, the step of feeding back the static elimination coordination strategy to each static elimination device so that each static elimination device eliminates static electricity from the product to be measured includes:

[0031] Feed back the humidity adjustment strategy to the air humidity adjustment device in the static electricity abnormal area for humidity adjustment, and feed back the static elimination coordination strategy to each static elimination device to eliminate static electricity from the product to be measured.

[0032] In one embodiment, after the step of feeding back the static elimination coordination strategy to each static elimination device to eliminate static electricity from the product to be measured, it further includes:

[0033] Obtain the device number of the abnormal device and the position range data of the static electricity abnormal area;

[0034] Generate a static elimination monitoring report according to the current static elimination working condition, the device number, the position range data, the humidity adjustment strategy, and the static elimination coordination strategy;

[0035] After each static elimination device executes the static elimination coordination strategy, update the current static elimination working condition;

[0036] Visualize the static elimination monitoring report and issue an alarm for abnormal static elimination.

[0037] In addition, to achieve the above object, the present application also proposes a static elimination monitoring device, which includes:

[0038] A data acquisition module, configured to acquire the current static elimination working conditions of each static elimination device in a preset working area, where the current static elimination working conditions include target electrostatic field data and ion balance data;

[0039] An anomaly analysis module, configured to determine the corresponding static elimination device as an abnormal device when it detects that the target electrostatic field data reaches a preset static alarm threshold, and determine the static anomaly area according to the abnormal device and the production process flow of the product under test in the preset working area;

[0040] A strategy adjustment module, configured to adjust the ion balance data of the static anomaly area through the K-medoids clustering algorithm based on the production process flow to generate a static elimination coordination strategy;

[0041] A device coordination module, configured to feedback the static elimination coordination strategy to each of the static elimination devices, so that each of the static elimination devices eliminates static electricity from the product under test.

[0042] In addition, to achieve the above object, the present application also proposes a static elimination monitoring device, which includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the computer program is configured to implement the steps of the static elimination monitoring method as described above.

[0043] In addition, to achieve the above object, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium, and when the computer program is executed by a processor, it implements the steps of the static elimination monitoring method as described above.

[0044] One or more technical solutions proposed in this application have at least the following technical effects: The electrostatic elimination monitoring method of this application includes: collecting the current electrostatic elimination working conditions of each electrostatic elimination device in a preset working area, where the current electrostatic elimination working conditions include target electrostatic field data and ion balance data; when it is detected that the target electrostatic field data reaches a preset electrostatic warning threshold, determining the corresponding electrostatic elimination device as an abnormal device, and determining an electrostatic abnormal area according to the abnormal device and the production process flow of the measured product in the preset working area; based on the production process flow, adjusting the ion balance data of the electrostatic abnormal area through the K-medoids clustering algorithm to generate an electrostatic elimination coordination strategy; and feeding back the electrostatic elimination coordination strategy to each electrostatic elimination device so that each electrostatic elimination device eliminates static electricity from the measured product.

[0045] Since this application monitors the current electrostatic elimination working conditions of each electrostatic elimination device in real time, when it is detected that a certain electrostatic elimination device is an abnormal device, an electrostatic elimination coordination strategy will be adjusted and generated, and will be promptly fed back to each electrostatic elimination device for collaborative processing to reduce the impact brought by the abnormal device. Thus, seamless collaboration between each electrostatic elimination device in each link is achieved, ensuring that the elimination of static electricity can be carried out automatically and continuously throughout the entire production and processing process. Description of the Drawings

[0046] The drawings here are incorporated into the specification and constitute a part of this specification, showing embodiments consistent with this application, and are used together with the specification to explain the principles of this application.

[0047] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0048] Figure 1 It is a schematic flowchart provided for Embodiment 1 of the electrostatic elimination monitoring method of this application;

[0049] Figure 2 It is a schematic flowchart provided for Embodiment 2 of the electrostatic elimination monitoring method of this application;

[0050] Figure 3 It is a schematic module structure diagram of the electrostatic elimination monitoring device in the embodiments of this application;

[0051] Figure 4 It is a schematic device structure diagram of the hardware operating environment involved in the electrostatic elimination monitoring method in the embodiments of this application.

[0052] The realization, functional features, and advantages of the purpose of this application will be further described in combination with the embodiments with reference to the drawings. Specific embodiments

[0053] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0054] In order to better understand the technical solutions of the present application, the following will be described in detail in conjunction with the accompanying drawings of the specification and specific embodiments.

[0055] It should be noted that the execution subject of this embodiment can be a computing service device with data collection, anomaly analysis, and device coordination functions, such as a personal computer, a server, etc., or an electronic device capable of implementing the above functions, an electrostatic elimination monitoring device (such as a monitoring device) that executes the electrostatic elimination monitoring method of the present application, etc. This embodiment does not limit this. The following takes a monitoring device as an example to illustrate this embodiment and the following embodiments.

[0056] Based on this, Embodiment 1 of the present application is proposed. Embodiment 1 of the present application provides an electrostatic elimination monitoring method, referring to Figure 1 , Figure 1 which is a schematic flowchart provided for Embodiment 1 of the electrostatic elimination monitoring method of the present application.

[0057] In this embodiment, the electrostatic elimination monitoring method includes steps S10 to S40:

[0058] Step S10: Collect the current electrostatic elimination working conditions of each electrostatic elimination device in a preset working area, where the current electrostatic elimination working conditions include target electrostatic field data and ion balance data.

[0059] It should be noted that the preset working area is the spatial range of the products processed by automated equipment predefined in electrostatic-sensitive production and processing workshops such as the electronics industry, spraying, printing, and textile industries. Within this range, multiple electrostatic elimination devices for reducing or eliminating static electricity on the surface of objects can be set to eliminate the static electricity generated during the processing or transfer process of the products.

[0060] This is because in many processing environments, products are prone to generate static electricity due to reasons such as friction and separation, and static electricity will have an adverse impact on production. For example, in the electronics industry, static electricity may damage sensitive electronic components; in the printing industry, static electricity will cause the paper to adsorb dust or the ink to be unevenly distributed, etc.

[0061] Among them, the electrostatic elimination devices may include: ion blowers, ion air bars, ion air guns, inductive electrostatic eliminators, AC electrostatic eliminators, etc. One or more can be set according to different processing industries, and this embodiment does not limit this.

[0062] For ease of understanding, by way of example, in an electronic production workshop, when a worker or a robotic arm operates a circuit board, the ions blown out by an ion blower can quickly neutralize the static electricity generated on the circuit board due to reasons such as friction, preventing the static electricity from damaging electronic components.

[0063] Also, for example, on a plastic film production line, an ion air bar can eliminate the static electricity on the film surface, preventing the film from adsorbing dust or sticking to each other.

[0064] It can be understood that during the operation of the static elimination device, the static elimination device generally records the actual operating conditions and relevant working parameters (i.e., the current static elimination working conditions) when performing static elimination work at the current moment, such as the operating mode of the device (such as continuous working mode or intermittent working mode), the efficiency of generating ions (such as the number of positive and negative ions generated per unit time), etc.

[0065] Among them, the target electrostatic field data is the numerical information related to the electrostatic field detected on the surface of the product before the static elimination device eliminates the static electricity on the product surface, including the intensity and distribution of the electrostatic field, etc.

[0066] Based on the target electrostatic field data, the static elimination device can generate corresponding positive or negative ions to neutralize the static electricity, and the ion balance data is the data recorded in the static elimination device that reflects the number of positive or negative ions generated.

[0067] In a specific implementation, when products are being normally processed in a preset working area of a production workshop, multiple static elimination devices for reducing or eliminating the static electricity on the product surface are arranged in the preset working area. The static elimination device generally records the current static elimination working conditions when performing static elimination work at the current moment, including the target electrostatic field data detected on the product surface before eliminating the static electricity on the product surface, and the ion balance data of the number of positive or negative ions generated by the static elimination device. The monitoring device can collect the above data in real time to cooperate with the static elimination device to ensure the normal operation of the entire processing process.

[0068] Step S20: When it is detected that the target electrostatic field data reaches a preset static electricity alarm threshold, determine the corresponding static elimination device as an abnormal device, and determine the static electricity abnormal area according to the abnormal device and the production process of the product under test in the preset working area.

[0069] It should be noted that the product under test can be an object for detecting its static electricity-related characteristics. The preset static electricity alarm threshold can be preset in the monitoring device in advance, which is a numerical limit for determining whether the static electricity on the surface of the product under test may cause harm; for example, in an electronic device production workshop, excessive static electricity may damage electronic components, so the alarm threshold of static electricity can be preset according to the maximum static electricity level that the electronic components can withstand.

[0070] When the actually monitored target electrostatic field data (such as parameters like electrostatic field intensity, static charge, etc.) exceed the preset electrostatic alarm threshold, at this time, the static electricity may cause harm to the production process, which indicates that the static elimination equipment has not effectively carried out static elimination work. At this time, the monitoring equipment can determine that the static elimination equipment in this area has failed (i.e., the abnormal equipment).

[0071] It can be understood that the production process flow can be a series of processes in the production workshop that gradually transform raw materials into finished products and inspect semi-finished or finished products. During this production process flow, there are multiple links, and in some links where static electricity may be generated, corresponding static elimination equipment will be equipped.

[0072] Therefore, taking the processing link as an example, when the static elimination equipment in a certain link fails, then from this link to the next link and from this link to the previous link, the static electricity on the surface of the product always exists or even accumulates. At this time, during the process from the previous link of this link to the next link of this link, there is a situation of abnormal static electricity, that is, the static electricity in this area is abnormal.

[0073] In a specific implementation, when the monitoring equipment detects that the target electrostatic field data reaches the preset electrostatic alarm threshold, at this time, it indicates that the static elimination equipment has not effectively carried out static elimination work. Therefore, it can be determined that the static elimination equipment in this area has failed. Then, the static electricity abnormal area that always exists or even accumulates can be determined according to the production process flow of the abnormal equipment in the measured product.

[0074] In a feasible implementation manner, step S20 of this embodiment may include the steps of: obtaining the working mapping position table of each static elimination equipment in the preset working area, where the working mapping position table is composed of the production process flow of the measured product in the preset working area and the working points of each static elimination equipment; based on the working mapping position table, determining the abnormal working point of the abnormal equipment; and determining the static electricity abnormal area according to the working area corresponding to the abnormal working point in the production process flow.

[0075] It should be noted that the working mapping position table can be a table used to represent the position relationship of the static elimination equipment in the production process of the processing workshop. It may include the processing links, processing areas of the measured product, and the coordinates (i.e., working points) of the static elimination equipment in each link.

[0076] When the static elimination equipment fails (i.e., the above-mentioned abnormal equipment), the working point where the abnormal equipment is located can be marked as the abnormal working point.

[0077] In this embodiment, the monitoring device can first obtain the working mapping position table of each static eliminator in the preset working area. The working mapping position table records information such as the processing links of the product under test, the processing areas, and the coordinates of the static eliminators in each link. Through this working mapping position table, the monitoring device can quickly locate the position of the abnormal device in the preset working area. At this time, the working point where the abnormal device is located can be marked as an abnormal working point. Since the static eliminator at the abnormal working point does not perform normal static elimination work, it means that the static electricity of the product under test in this link is gradually accumulating. At this time, the area near the abnormal working point can be marked as a static electricity abnormal area. Through the above working mapping position table, the monitoring device can quickly determine the abnormal link and avoid untimely handling.

[0078] In another feasible embodiment, the step of determining the static electricity abnormal area according to the abnormal working point in the working area corresponding to the production process flow in this embodiment includes: judging whether the abnormal working point is in the transfer overlapping process according to the production process flow; when the abnormal working point is in the transfer overlapping process, determining the first working point of the static eliminator upstream of the abnormal device and the second working point of the static eliminator downstream of the abnormal device; taking the working area between the abnormal working point and the first working point as the first abnormal area, and taking the working area between the abnormal working point and the second working point as the second abnormal area; taking the first abnormal area and the second abnormal area as the static electricity abnormal area.

[0079] It should be noted that the transfer overlapping process may refer to a process in which part of the transfer link overlaps or runs in parallel during the processing of the product under test. For example, when some semi-finished products are transported to different subsequent processes, they may be the same on a certain transfer path. If the static eliminators in two adjacent working areas are both abnormal and the product has frequent transfers between these two areas, then during the transfer overlapping process, since the above abnormal devices do not perform static elimination work, it may cause the static electricity on the surface of the product under test to continuously accumulate in this link.

[0080] It can be understood that the first working point can be the working point of the static eliminator in the upstream link of the abnormal device. The second working point can be the working point of the static eliminator in the downstream link of the abnormal device.

[0081] In this embodiment, after determining the above-mentioned first working position and second working position, the working area between the first working position and the abnormal working position can be used as the first abnormal area, and the working area between the second working position and the abnormal working position can be used as the second abnormal area. Since it is a transfer overlapping process, the degree of static electricity accumulation in the first abnormal area and the second abnormal area is different. Therefore, taking the abnormal working position as the dividing point and dividing it into two areas can further facilitate the subsequent working adjustment of other static elimination devices.

[0082] Step S30: Based on the production process flow, adjust the ion balance data of the static electricity abnormal area through the K-medoids clustering algorithm to generate a static elimination coordination strategy.

[0083] It should be noted that the K-medoids clustering algorithm is a clustering analysis algorithm that can divide the objects in the data set into K clusters to optimize the clustering results and continuously iterate until the convergence condition is reached. Through the K-medoids clustering algorithm, the static electricity generated in the static electricity abnormal area can be assigned to the subsequent static elimination devices for collaborative elimination, so as to relieve the pressure on a certain static elimination device and reduce the impact brought by the abnormal device. The static elimination coordination strategy is a strategy generated by clustering and adjusting the ion balance data of the static electricity abnormal area through the K-medoids clustering algorithm and assigning it to the rest of the static elimination devices for coordination.

[0084] In a specific implementation, after the monitoring device determines the static electricity abnormal area, it can adjust the ion balance data of the static electricity abnormal area through the K-medoids clustering algorithm to generate a static elimination coordination strategy that can assign the static electricity generated in the static electricity abnormal area to the subsequent static elimination devices for collaborative elimination.

[0085] In a feasible embodiment, step S30 of this embodiment may include the steps of: based on the production process flow, removing the abnormal values of the ion balance data of the preset working area to obtain the ion balance data after removing the abnormal values; performing standardization processing on the ion balance data after removing the abnormal values through the Z-score method to obtain standardized data; taking the ion balance data of the static electricity abnormal area as the center point, clustering the standardized data through the K-medoids clustering algorithm to generate a clustering assignment result; and adjusting the static elimination devices according to the clustering assignment result to generate a static elimination coordination strategy.

[0086] It should be noted that the abnormal value can be an obviously unreasonable value among all the ion balance data of the preset working area, such as an obviously unreasonable data point due to sensor failure or sudden interference, or data generated by a failure of the static elimination device, etc.

[0087] It is understandable that the Z-score method can be a method for standardizing data, which can standardize each data point in the ion balance data after removing outliers and convert it into a distribution with a mean of 0 and a standard deviation of 1.

[0088] Through the standardization process of the Z-score method, the ion balance data after removing outliers with different dimensions, different means, and standard deviations can be converted to a unified standard scale, facilitating subsequent clustering of the data.

[0089] It should be understood that the clustering assignment result can be the grouping situation that reflects the distances between the data points of the remaining electrostatic removal devices and the central point (i.e., the data point of the abnormal device) after clustering the standardized data through the K-medoids clustering algorithm. Then, by converting this grouping situation proportionally into ion balance data, an electrostatic removal coordination strategy can be generated.

[0090] In this embodiment, the monitoring device can first remove outliers from the ion balance data of each electrostatic removal device collected, and then perform standardization processing to obtain standardized data. Then, the standardized data can be clustered through the K-medoids clustering algorithm to generate a clustering assignment result that reflects the distances between the data points of the remaining electrostatic removal devices and the central point (i.e., the data point of the abnormal device). Finally, according to this clustering assignment result, by converting it proportionally into ion balance data, an electrostatic removal coordination strategy for the electrostatic removal device can be generated. Through the above standardization process, the ion balance data after removing outliers with different dimensions, different means, and standard deviations can be converted to a unified standard scale, facilitating subsequent clustering of the data.

[0091] In another feasible embodiment, the step of taking the ion balance data of the electrostatic anomaly region as the central point and clustering the standardized data through the K-medoids clustering algorithm to generate a clustering assignment result includes: taking the number of electrostatic removal devices as the number of clusters and taking the ion balance data of the first anomaly region as the initial central point, clustering the standardized data through the K-medoids clustering algorithm to obtain a first clustering result; taking the minimum electrostatic discharge amount as the optimization target, adjusting the ion balance data of the second anomaly region as the second central point, and clustering the first clustering result again through the K-medoids clustering algorithm to generate a clustering assignment result.

[0092] It should be noted that the number of clusters can be the number of different groups into which the ion balance data within the preset working area is divided during the clustering analysis of the K-medoids clustering algorithm. The initial center point can be the initial point taking the ion balance data of the first abnormal area as the clustering center at the beginning of clustering. The first clustering result can be the grouping situation of the distances between the data points of each of the remaining electrostatic elimination devices and the initial center point after clustering through the K-medoids clustering algorithm with the initial center point.

[0093] It can be understood that the electrostatic discharge amount can refer to the amount of electric charge transferred during the electrostatic discharge process. When the electrostatic elimination device eliminates the static electricity on the surface of the product under test, the charges will redistribute between them, forming an electrostatic discharge phenomenon. At this time, a larger electrostatic discharge amount may produce a relatively strong discharge phenomenon, which may affect the product under test.

[0094] Therefore, when clustering through the K-medoids clustering algorithm, clustering can be performed with the minimum electrostatic discharge amount as the optimization goal to reduce the adverse effects brought by subsequent electrostatic elimination by the electrostatic elimination device.

[0095] The second center point is the point taking the ion balance data of the second abnormal area as the clustering center after the clustering of the initial center point is completed. At this time, the second clustering result can be the grouping situation of the distances between the data points of each of the remaining electrostatic elimination devices and the second center point after clustering again through the K-medoids clustering algorithm with the second center point.

[0096] By gradually performing clustering operations with the ion balance data of the above-mentioned first abnormal area as the initial center point and the ion balance data of the second abnormal area as the second center point, the static electricity generated in the electrostatic abnormal area can be reasonably distributed to each of the remaining electrostatic elimination devices for collaborative elimination, reducing the fault impact brought by abnormal devices.

[0097] In this embodiment, the monitoring device can use the number of electrostatic elimination devices as the number of clusters, then select the ion balance data of the first abnormal area as the initial center point, perform the first clustering process to obtain the first clustering result. Then, with the minimum electrostatic discharge amount as the optimization goal, update the initial center point to the ion balance data of the second abnormal area, use it as the second center point, and perform clustering on the first clustering result again to generate a clustering allocation result. At this time, in the clustering allocation result, each cluster represents the data of each electrostatic elimination device for electrostatic elimination. Based on this clustering allocation result, a strategy for coordinating the electrostatic balance of the electrostatic abnormal area among different processes by each electrostatic device can be formulated. Thus, through the clustering of the above-mentioned initial center point and the second center point, the fluctuations of each of the remaining electrostatic elimination devices for electrostatic elimination between different regions and processes can be reduced, and the fault impact brought by abnormal devices can be reduced.

[0098] Step S40: Feed back the static elimination coordination strategy to each static elimination device, so that each static elimination device eliminates static electricity from the product under test.

[0099] In specific implementation, after the monitoring device analyzes and obtains the static elimination coordination strategy, it can transmit the static elimination coordination strategy to each static elimination device within the preset working area, so that each static elimination device can cooperate to reduce the impact brought by abnormal device failures.

[0100] In the technical solution provided in this embodiment, when products are being normally processed within the preset working area of the production workshop, multiple static elimination devices for reducing or eliminating static electricity on the product surface are provided within this preset working area. The static elimination devices generally record the current static elimination working conditions when performing static elimination work at the current moment, including the target static electric field data detected on the product surface before eliminating the static electricity on the product surface, and the ion balance data of the number of positive or negative ions generated by the static elimination device. The monitoring device can collect the above data in real time to cooperate with the static elimination devices to ensure the normal operation of the entire processing process. When the monitoring device detects that the target static electric field data reaches the preset static electricity warning threshold, it indicates at this time that the static elimination device has not achieved effective static electricity elimination work. Therefore, it can be determined that there is a failure in the static elimination device in this area. Then, the static electricity abnormal area that has always existed or even accumulated can be determined according to the production process flow of the abnormal device for the product under test. Then, the ion balance data of the static electricity abnormal area is clustered and adjusted through the K-medoids clustering algorithm to generate a static elimination coordination strategy that can allocate the static electricity generated in the static electricity abnormal area to the subsequent static elimination devices for cooperative elimination. After the monitoring device analyzes and generates the static elimination coordination strategy, it can transmit the static elimination coordination strategy to each static elimination device within the preset working area, so that each static elimination device can cooperate to reduce the fluctuation of static electricity elimination by the remaining static elimination devices between different regions and processes, and reduce the impact brought by abnormal device failures. Since this embodiment monitors the current static elimination working conditions of each static elimination device in real time, when it detects that a certain static elimination device is an abnormal device, it will adjust and generate a static elimination coordination strategy and promptly feedback it to each static elimination device for cooperative processing to reduce the impact brought by the abnormal device. Through the efficient integration of functions such as the above data collection, analysis, and collaborative adjustment, a unified static electricity monitoring system platform can be constructed to achieve smooth data transfer and seamless cooperation between various links, ensuring that the entire collaborative adjustment process can proceed automatically and coherently. Thus, seamless cooperation between each static elimination device in each link is achieved, ensuring that the elimination of static electricity during the entire production and processing process can proceed automatically and coherently.

[0101] Based on the first embodiment of the present application above, the second embodiment of the present application is proposed. In the second embodiment of the present application, the same or similar content as the above first embodiment can be referred to the above introduction and will not be repeated hereinafter. On this basis, please refer to Figure 2 , Figure 2 which is a schematic flow chart provided for the second embodiment of the electrostatic elimination monitoring method of the present application.

[0102] Before step S30 of this example, the electrostatic elimination monitoring method further includes steps S201 to S202:

[0103] Step S201: Collect the air humidity data of the electrostatic abnormal area through a humidity sensor.

[0104] It should be noted that the humidity sensor can be a device that can sense the environmental humidity and convert the humidity information into a measurable signal (usually an electrical signal). The air humidity data is used to quantitatively represent the amount of water vapor in the air.

[0105] Generally speaking, the lower the air humidity, the easier it is to generate static electricity. In a dry environment, the charges on the surface of an object are difficult to conduct and release, and the charges are easy to accumulate, thus generating static electricity. When the air humidity is high, water molecules will adsorb on the surface of the object, forming a thin conductive layer, which helps the conduction and dissipation of charges, thus reducing the generation of static electricity.

[0106] Therefore, the air humidity data of the electrostatic abnormal area can be detected through a humidity sensor to understand whether the air humidity in the electrostatic abnormal area is appropriate.

[0107] Step S202: Adjust the air humidity data based on the target electrostatic field data of the electrostatic abnormal area to obtain a humidity adjustment strategy.

[0108] It should be noted that the humidity adjustment strategy can be a strategy for adjusting the air humidity in the electrostatic abnormal area to reduce the generation of static electricity on the surface of the product under test, such as increasing the water vapor by a humidifier to increase the humidity, etc.

[0109] Correspondingly, step S40 includes step S41: Feed back the humidity adjustment strategy to the air humidity adjustment device in the electrostatic abnormal area for humidity adjustment, and feed back the static electricity elimination coordination strategy to each static electricity elimination device to eliminate static electricity on the product under test.

[0110] It should be noted that the air humidity adjustment device can be a device specifically used to change the humidity level in the air, such as an ultrasonic humidifier, an evaporative humidifier, etc.

[0111] In this embodiment, after determining the electrostatic anomaly area, the monitoring device can further collect the air humidity data of the electrostatic anomaly area through a humidity sensor; generate a humidity adjustment strategy based on the target electrostatic field data of the electrostatic anomaly area to adjust the air humidity of the electrostatic anomaly area, and further reduce the generation of static electricity on the surface of the product under test.

[0112] Further, after step S41 of this example, the electrostatic elimination monitoring method further includes the steps of: obtaining the device number of the abnormal device and the position range data of the electrostatic anomaly area; generating an electrostatic elimination monitoring report according to the current electrostatic elimination working condition, the device number, the position range data, the humidity adjustment strategy, and the electrostatic elimination coordination strategy; updating the current electrostatic elimination working condition after each electrostatic elimination device executes the electrostatic elimination coordination strategy; visually displaying the electrostatic elimination monitoring report and issuing an electrostatic elimination anomaly warning.

[0113] It should be noted that the device number can be the identification code of the electrostatic elimination device, which is used to quickly distinguish different electrostatic elimination devices and clarify the identity of each device. The position range data is the range where the electrostatic anomaly area is located in the preset working area, which can be determined by the working points of the above-mentioned working mapping position table, and this embodiment does not limit this.

[0114] It can be understood that the electrostatic elimination monitoring report can be a report used to record and present information such as the operating parameters, fault range, coordinated strategies adopted, and actual electrostatic elimination effect of the electrostatic elimination device when the electrostatic elimination device fails.

[0115] In this embodiment, through the electrostatic elimination monitoring report, the real-time changes of each electrostatic elimination device can be intuitively and easily monitored and displayed in real time, and the execution of the coordinated adjustment strategy and the final electrostatic control effect when a fault occurs can be displayed. Even if new electrostatic elimination devices are connected later, new adjustment strategies can be added at any time, which is convenient for management personnel to timely understand the operating status of each electrostatic elimination device.

[0116] This application also provides an electrostatic elimination monitoring device. Please refer to Figure 3 , Figure 3 which is the module structure diagram of the electrostatic elimination monitoring device according to the embodiment of this application; the electrostatic elimination monitoring device includes:

[0117] A data acquisition module 301, which is used to collect the current electrostatic elimination working conditions of each electrostatic elimination device in the preset working area, and the current electrostatic elimination working conditions include target electrostatic field data and ion balance data;

[0118] Anomaly analysis module 302 is configured to determine that the corresponding static eliminator is an abnormal device when it detects that the target electrostatic field data reaches a preset electrostatic alarm threshold, and determine an electrostatic anomaly area according to the abnormal device and the production process flow of the product under test in the preset working area;

[0119] Strategy adjustment module 303 is configured to adjust the ion balance data of the electrostatic anomaly area through the K-medoids clustering algorithm based on the production process flow to generate an electrostatic elimination coordination strategy;

[0120] Device coordination module 304 is configured to feedback the electrostatic elimination coordination strategy to each static eliminator, so that each static eliminator eliminates static electricity from the product under test.

[0121] As an implementation manner, the anomaly analysis module 302 is further configured to obtain a work mapping position table of each static eliminator in the preset working area, where the work mapping position table is composed of the production process flow of the product under test in the preset working area and the working points of each static eliminator; based on the work mapping position table, determine the abnormal working point of the abnormal device; according to the working area corresponding to the abnormal working point in the production process flow, determine the electrostatic anomaly area.

[0122] As an implementation manner, the anomaly analysis module 302 is further configured to judge whether the abnormal working point is in the transfer overlapping process according to the production process flow; when the abnormal working point is in the transfer overlapping process, determine the first working point of the static eliminator upstream of the abnormal device and the second working point of the static eliminator downstream of the abnormal device; take the working area between the abnormal working point and the first working point as the first anomaly area, and take the working area between the abnormal working point and the second working point as the second anomaly area; take the first anomaly area and the second anomaly area as the electrostatic anomaly area.

[0123] As an implementation manner, the strategy adjustment module 303 is further configured to remove the abnormal values of the ion balance data of the preset working area based on the production process flow to obtain the ion balance data after removing the abnormal values; perform standardization processing on the ion balance data after removing the abnormal values through the Z-score method to obtain standardized data; take the ion balance data of the electrostatic anomaly area as the center point, and cluster the standardized data through the K-medoids clustering algorithm to generate a clustering assignment result; according to the clustering assignment result, adjust the static eliminator to generate an electrostatic elimination coordination strategy.

[0124] As an implementation manner, the policy adjustment module 303 is further configured to use the number of the static eliminators as the number of clusters and use the ion balance data of the first abnormal area as the initial center point, and cluster the standardized data through the K-medoids clustering algorithm to obtain a first clustering result; with the minimum electrostatic discharge amount as the optimization target, adjust the ion balance data of the second abnormal area as the second center point, and cluster the first clustering result again through the K-medoids clustering algorithm to generate a clustering assignment result.

[0125] As an implementation manner, the policy adjustment module 303 is further configured to collect the air humidity data of the static electricity abnormal area through a humidity sensor; adjust the air humidity data based on the target electrostatic field data of the static electricity abnormal area to obtain a humidity adjustment policy; correspondingly, the device coordination module 304 is further configured to feedback the humidity adjustment policy to the air humidity adjustment device of the static electricity abnormal area for humidity adjustment, and feedback the static elimination coordination policy to each static eliminator to eliminate static electricity from the product under test.

[0126] As an implementation manner, the device coordination module 304 is further configured to obtain the device number of the abnormal device and the position range data of the static electricity abnormal area; generate a static elimination monitoring report according to the current static elimination working condition, the device number, the position range data, the humidity adjustment policy, and the static elimination coordination policy; update the current static elimination working condition after each static eliminator executes the static elimination coordination policy; visually display the static elimination monitoring report, and issue a static elimination abnormal alarm.

[0127] Other embodiments or specific implementation manners of the static elimination monitoring device of the present application may refer to the above method embodiments, and will not be elaborated here.

[0128] The static elimination monitoring device provided by the present application adopts the static elimination monitoring method in the above embodiment, and can solve the technical problem that the monitoring of the existing static eliminators is generally managed individually one by one. When a certain static eliminator fails and is not processed in time, it will affect the entire production process. Compared with the prior art, the beneficial effects of the static elimination monitoring device provided by the present application are the same as those of the static elimination monitoring method provided by the above embodiment, and other technical features in the static elimination monitoring device are the same as those disclosed in the above embodiment method, and will not be elaborated here.

[0129] The present application provides an electrostatic elimination monitoring device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the electrostatic elimination monitoring method in Embodiment 1 above.

[0130] The following refers to Figure 4 , Figure 4 FIG. is a schematic diagram of the device structure of the hardware operating environment involved in the electrostatic elimination monitoring method in the embodiment of the present application, which shows a schematic diagram of the structure of the electrostatic elimination monitoring device suitable for implementing the embodiment of the present application. The electrostatic elimination monitoring device in the embodiment of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions: tablet computers), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 4 The shown electrostatic elimination monitoring device is only an example and should not impose any limitation on the functions and usage scope of the embodiments of the present application.

[0131] As Figure 4As shown, the static elimination monitoring device may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which may perform various appropriate actions and processes according to a program stored in the read-only memory 1002 or a program loaded from the storage device 1003 into the random access memory 1004. In the random access memory 1004, various programs and data required for the operation of the static elimination monitoring device are also stored. The processing device 1001, the read-only memory 1002, and the random access memory 1004 are connected to each other through a bus 1005. The input / output interface 1006 is also connected to the bus. Generally, the following systems may be connected to the input / output interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 may allow the static elimination monitoring device to communicate with other devices wirelessly or wiredly to exchange data. Although the figure shows a static elimination monitoring device having various systems, it should be understood that it is not required to implement or have all the shown systems. Instead, more or fewer systems may be implemented or had.

[0132] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes program codes for performing the methods shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from the network through the communication device, or installed from the storage device 1003, or installed from the read-only memory 1002. When the computer program is executed by the processing device 1001, the above functions defined in the methods of the embodiments disclosed in the present application are executed.

[0133] The static elimination monitoring device provided by the present application adopts the static elimination monitoring method in the above embodiments, and can solve the technical problem that the monitoring of the existing static elimination devices is generally managed separately one by one, and when a certain static elimination device fails, if not processed in time, it will affect the entire production process. Compared with the prior art, the beneficial effects of the static elimination monitoring device provided by the present application are the same as those of the static elimination monitoring method provided by the above embodiments, and other technical features in the static elimination monitoring device are the same as those disclosed in the method of the previous embodiment, and will not be elaborated here.

[0134] It should be understood that each part disclosed in this application can be implemented by hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in a suitable manner in any one or more embodiments or examples.

[0135] As described above, the above are only specific embodiments of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all of them should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0136] This application provides a computer-readable storage medium with computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the electrostatic elimination monitoring method in the above embodiments.

[0137] The computer-readable storage medium provided by this application can be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems or devices, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM: Random Access Memory), read-only memory (ROM: Read Only Memory), erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM: CD-Read Only Memory), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this embodiment, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system or device. The program code contained on the computer-readable storage medium can be transmitted by any appropriate medium, including but not limited to: wires, optical cables, RF (RadioFrequency), etc., or any suitable combination of the above.

[0138] The above computer-readable storage medium can be included in the electrostatic elimination monitoring device; it can also exist separately without being assembled into the electrostatic elimination monitoring device.

[0139] The above computer-readable storage medium carries one or more programs, which, when executed by the static electricity elimination monitoring device, cause the static electricity elimination monitoring device to: collect the current static electricity elimination working conditions of each static electricity elimination device in a preset working area, where the current static electricity elimination working conditions include target static electric field data and ion balance data; when it is detected that the target static electric field data reaches a preset static electricity warning threshold, determine the corresponding static electricity elimination device as an abnormal device, and determine a static electricity abnormal area according to the abnormal device and the production process flow of the product under test in the preset working area; based on the production process flow, adjust the ion balance data of the static electricity abnormal area through the K-medoids clustering algorithm to generate a static electricity elimination coordination strategy; and feedback the static electricity elimination coordination strategy to each static electricity elimination device so that each static electricity elimination device eliminates static electricity from the product under test.

[0140] Computer program code for performing the operations of the present application may be written in one or more programming languages or combinations thereof. The programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (for example, by using an Internet service provider to connect through the Internet).

[0141] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, may be implemented by a dedicated hardware-based system for performing the specified functions or operations, or may be implemented by a combination of dedicated hardware and computer instructions.

[0142] The modules involved in the embodiments of the present application can be implemented in software or in hardware. Among them, the name of the module does not constitute a limitation on the unit itself in some cases.

[0143] The readable storage medium provided in the present application is a computer-readable storage medium, and the computer-readable storage medium stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned electrostatic elimination monitoring method, which can solve the technical problem that the monitoring of existing electrostatic elimination devices is generally managed individually one by one. When a certain electrostatic elimination device fails and is not processed in time, it will affect the entire production process. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in the present application are the same as those of the electrostatic elimination monitoring method provided in the above embodiments, and will not be elaborated here.

[0144] The above are only some embodiments of the present application, and do not limit the patent scope of the present application. Any equivalent structural transformation made by using the content of the specification and drawings of the present application under the technical concept of the present application, or direct / indirect application in other related technical fields, is included in the patent protection scope of the present application.

Claims

1. A static elimination monitoring method, characterized in that: The method comprises: Collecting the current static electricity removal working conditions of each static electricity removal device in a preset working area, wherein the current static electricity removal working conditions include target static electricity field data and ion balance data; When it is detected that the target electrostatic field data reaches a preset electrostatic alarm threshold, the corresponding anti-static equipment is determined to be an abnormal equipment, and the electrostatic abnormal area is determined according to the abnormal equipment and the production process of the product under test in the preset working area; Based on the production process, the ion balance data of the electrostatic anomaly area is adjusted by a K-center point clustering algorithm to generate a static elimination coordination strategy; Feeding back the static electricity removal coordination strategy to each static electricity removal device, so that each static electricity removal device can perform static electricity removal on the tested product; Among them, the step of determining the electrostatic abnormal area according to the production process flow of the abnormal equipment and the tested product in the preset working area includes: obtaining a working mapping position table of each static electricity removal equipment in the preset working area, the working mapping position table being composed of the production process flow of the tested product in the preset working area and the working points of each static electricity removal equipment; determining the abnormal working point of the abnormal equipment based on the working mapping position table; determining the electrostatic abnormal area according to the working area corresponding to the abnormal working point in the production process; Among them, the step of determining the electrostatic abnormal area according to the working area corresponding to the abnormal working point in the production process flow includes: judging whether the abnormal working point is in the transfer overlapping process according to the production process flow; when the abnormal working point is in the transfer overlapping process, determining the first working point of the static electricity removal equipment upstream of the abnormal equipment and the second working point of the static electricity removal equipment downstream; taking the working area between the abnormal working point and the first working point as the first abnormal area, and taking the working area between the abnormal working point and the second working point as the second abnormal area; taking the first abnormal area and the second abnormal area as the electrostatic abnormal area.

2. The method according to claim 1, characterized in that The step of adjusting the ion balance data of the electrostatic abnormality area based on the production process flow by using a K-center point clustering algorithm to generate a static elimination coordination strategy includes: Based on the production process, removing abnormal values ​​of the ion balance data of the preset working area to obtain the ion balance data after the abnormal values ​​are removed; Standardizing the ion balance data after removing outliers by a Z-score method to obtain standardized data; Taking the ion balance data of the electrostatic anomaly region as the center point, clustering the standardized data by a K-center point clustering algorithm to generate a clustering allocation result; According to the cluster allocation result, the static electricity removal equipment is adjusted to generate a static electricity removal coordination strategy.

3. The method according to claim 2, characterized in that The step of clustering the standardized data using a K-center point clustering algorithm with the ion balance data of the electrostatic anomaly region as the center point to generate a clustering allocation result comprises: Taking the number of the static electricity removal devices as the number of clusters and taking the ion balance data of the first abnormal area as the initial center point, clustering the standardized data by a K-center point clustering algorithm to obtain a first clustering result; Taking the minimum electrostatic discharge as the optimization goal, the ion balance data of the second abnormal area is adjusted to the second center point, and the first clustering result is clustered again by the K-center point clustering algorithm to generate a clustering allocation result.

4. The method according to any one of claims 1 to 3, characterized in that Before the step of adjusting the ion balance data of the electrostatic abnormality area by using the K-center point clustering algorithm based on the production process to generate the electrostatic removal coordination strategy, the method further includes: Collecting air humidity data in the static electricity abnormality area through a humidity sensor; Adjusting the air humidity data based on the target electrostatic field data of the electrostatic abnormality area to obtain a humidity adjustment strategy; Accordingly, the step of feeding back the static electricity removal coordination strategy to each static electricity removal device so that each static electricity removal device performs static electricity removal on the tested product includes: The humidity adjustment strategy is fed back to the air humidity adjustment device in the static electricity abnormality area to perform humidity adjustment, and the static electricity removal coordination strategy is fed back to each static electricity removal device to perform static electricity removal on the tested product.

5. The method according to claim 4, characterized in that After the step of feeding back the static electricity removal coordination strategy to each static electricity removal device to perform static electricity removal on the tested product, the method further includes: Obtaining the device number of the abnormal device and the location range data of the static abnormal area; Generate a static electricity elimination monitoring report according to the current static electricity elimination working condition, the equipment number, the location range data, the humidity adjustment strategy and the static electricity elimination coordination strategy; After each of the static electricity removal devices executes the static electricity removal coordination strategy, updating the current static electricity removal working condition; The static electricity elimination monitoring report is visualized and an abnormal static electricity elimination alarm is issued.

6. A static elimination monitoring device, characterized in that: The device comprises: A data acquisition module, used to collect the current static electricity removal working conditions of each static electricity removal device in a preset working area, wherein the current static electricity removal working conditions include target static electricity field data and ion balance data; An abnormality analysis module, used to determine that the corresponding anti-static equipment is an abnormal equipment when the target electrostatic field data reaches a preset electrostatic alarm threshold, and determine the electrostatic abnormal area according to the abnormal equipment and the production process of the tested product in the preset working area; A strategy adjustment module, for adjusting the ion balance data of the electrostatic anomaly area based on the production process flow by using a K-center point clustering algorithm to generate a static elimination coordination strategy; An equipment coordination module, used for feeding back the static electricity removal coordination strategy to each static electricity removal equipment, so that each static electricity removal equipment can perform static electricity removal on the product under test; The abnormality analysis module is further used to obtain a work mapping position table of each static electricity removal device in the preset work area, wherein the work mapping position table is composed of a production process flow of the tested product in the preset work area and a work point position of each static electricity removal device; based on the work mapping position table, determine the abnormal work point position of the abnormal device; determine the static electricity abnormal area according to the work area corresponding to the abnormal work point position in the production process flow; The abnormal analysis module is also used to determine whether the abnormal working point is in a transfer overlapping process based on the production process; when the abnormal working point is in the transfer overlapping process, determine the first working point of the static electricity removal equipment upstream of the abnormal equipment and the second working point of the static electricity removal equipment downstream; use the working area between the abnormal working point and the first working point as the first abnormal area, and use the working area between the abnormal working point and the second working point as the second abnormal area; use the first abnormal area and the second abnormal area as electrostatic abnormal areas.

7. A static elimination monitoring device, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the static elimination monitoring method according to any one of claims 1 to 5.

8. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the static elimination monitoring method according to any one of claims 1 to 5 are implemented.

Images