Static elimination monitoring method and device, equipment and storage medium

Abstract

The invention discloses a static electricity elimination monitoring method, device and equipment and a storage medium, and relates to the technical field of system regulation, and the method comprises the steps: collecting the current static electricity elimination working condition of each static electricity elimination equipment in a preset working area, and determining a static electricity abnormal area when the corresponding static electricity elimination equipment is detected to be abnormal equipment; and on the basis of a production process flow, adjusting ion balance data of the static electricity abnormal region through a K-center point clustering algorithm, generating a static electricity elimination coordination strategy, and feeding back the static electricity elimination coordination strategy to each static electricity elimination device to perform static electricity elimination on the tested product. According to the method, the current static electricity eliminating working condition of each static electricity eliminating device is monitored in real time, the static electricity eliminating coordination strategy is adjusted and generated when the abnormal device is detected, and the static electricity eliminating coordination strategy is timely fed back to each static electricity eliminating device for cooperative processing, so that the influence caused by the abnormal device is reduced. Therefore, seamless cooperation of all the static electricity eliminating devices among all the links is achieved, and it is ensured that static electricity can be eliminated automatically and coherently in the whole production and machining process.

Description

Technical Field

[0001] The present application relates to the field of system regulation technology, and in particular to a static elimination monitoring method, device, equipment and storage medium. Background Art

[0002] In the production and processing of electrostatically sensitive products such as electronics, spraying, printing, and textiles, there are phenomena such as dust particle pollution and electrostatic discharge damage caused by static electricity, which reduces the efficiency of the product production and processing process. In order to minimize the electrostatic discharge phenomenon, electrostatic detection and anti-static equipment are generally added during the production and processing process.

[0003] Since the production process of a product generally includes multiple links, each link involves anti-static equipment to solve the electrostatic discharge phenomenon in the current link, resulting in a large number of anti-static equipment involved in the entire production process. The existing anti-static equipment monitoring is generally managed individually on a one-to-one basis. When a certain anti-static equipment fails, if it is not handled in time, it will not only affect the current production link, but also further affect the entire production process, resulting in reduced efficiency in the product production and processing process. Summary of the invention

[0004] The main purpose of this application is to provide a static elimination monitoring method, device, equipment and storage medium, aiming to solve the technical problem that the monitoring of existing static elimination equipment is generally managed individually on a one-to-one basis. When a static elimination equipment fails, if it is not handled in time, it will affect the entire production process.

[0005] To achieve the above objectives, the present application proposes a static elimination monitoring method, the method comprising: 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; The static electricity removal coordination strategy is fed back to each static electricity removal device, so that each static electricity removal device can perform static electricity removal on the tested product.

[0006] In one embodiment, the step of determining the electrostatic abnormality area according to the production process flow of the abnormal equipment and the product under test in the preset working area includes: Obtaining 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 product under test in the preset work area and a work point position of each static electricity removal device; Based on the work mapping position table, determining the abnormal working point of the abnormal equipment; According to the abnormal working point being located in the working area corresponding to the production process flow, an abnormal static electricity area is determined.

[0007] In one embodiment, the step of determining the electrostatic abnormality area according to the abnormal working point being located in the working area corresponding to the production process flow comprises: According to the production process, determining whether the abnormal working point is in a transfer overlapping process; When the abnormal working point is in the transfer overlapping process, determining a first working point of the static electricity removal equipment upstream of the abnormal equipment and a 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 a first abnormal area, and taking the working area between the abnormal working point and the second working point as a second abnormal area; The first abnormal region and the second abnormal region are regarded as static electricity abnormal regions.

[0008] In one embodiment, the step of adjusting the ion balance data of the electrostatic anomaly area based on the production process 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.

[0009] In one embodiment, 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 includes: 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.

[0010] In one embodiment, before the step of adjusting the ion balance data of the electrostatic abnormality area by a K-center point clustering algorithm based on the production process to generate a static elimination coordination strategy, the step 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.

[0011] In one embodiment, 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.

[0012] In addition, to achieve the above-mentioned purpose, the present application also proposes a static elimination monitoring device, the device comprising: 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; The equipment coordination module is used to feed 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.

[0013] In addition, to achieve the above-mentioned purpose, the present application also proposes an electrostatic elimination monitoring device, which includes: 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 electrostatic elimination monitoring method described above.

[0014] In addition, to achieve the above-mentioned purpose, 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. When the computer program is executed by the processor, the steps of the static elimination monitoring method described above are implemented.

[0015] One or more technical solutions proposed in the present application have at least the following technical effects: the static electricity elimination monitoring method of the present application includes: collecting the current static electricity removal conditions of each static electricity removal equipment in a preset working area, and the current static electricity removal conditions include target static electricity field data and ion balance data; when it is detected that the target static electricity field data reaches the preset static electricity alarm threshold, the corresponding static electricity removal equipment is determined to be an abnormal equipment, and the static electricity abnormal area is determined according to the abnormal equipment and the production process flow of the product under test in the preset working area; based on the production process flow, the ion balance data of the static electricity abnormal area is adjusted by the K-center point clustering algorithm to generate a static electricity removal coordination strategy; the static electricity removal coordination strategy is fed back to the each static electricity removal equipment, so that the each static electricity removal equipment can perform static electricity elimination on the product under test.

[0016] Since this application monitors the current static electricity removal working conditions of each static electricity removal device in real time, when a static electricity removal device is detected as an abnormal device, it will adjust and generate a static electricity removal coordination strategy, and promptly feedback to each static electricity removal device for collaborative processing to reduce the impact of abnormal devices. This achieves seamless collaboration between various static electricity removal devices in various links, ensuring that static electricity can be eliminated automatically and continuously throughout the entire production and processing process. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 A schematic diagram of a process flow provided for the first embodiment of the static electricity elimination monitoring method of the present application; Figure 2 A schematic diagram of a flow chart provided for Embodiment 2 of the static electricity elimination monitoring method of the present application; Figure 3 This is a schematic diagram of the module structure of the static elimination monitoring device according to an embodiment of the present application; Figure 4 Schematic diagram of the equipment structure of the hardware operating environment involved in the static electricity elimination monitoring method in the embodiment of the present application.

[0020] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0021] 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.

[0022] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0023] It should be noted that the execution subject of this embodiment can be a computing service device with data collection, abnormality analysis and equipment coordination functions, such as a personal computer, a server, etc., or an electronic device that can realize the above functions, a static elimination monitoring device (such as a monitoring device) that executes the static elimination monitoring method of this application, etc., and this embodiment does not limit this. The following takes the monitoring device as an example to illustrate this embodiment and the following embodiments.

[0024] Based on this, the first embodiment of the present application is proposed. The present application embodiment provides a static elimination monitoring method, referring to Figure 1 , Figure 1 A schematic diagram of the process flow of the first embodiment of the static electricity elimination monitoring method of the present application.

[0025] In this embodiment, the static electricity elimination monitoring method includes steps S10 to S40: Step S10: collecting the current static electricity removal working conditions of each static electricity removal device in the preset working area, wherein the current static electricity removal working conditions include target electrostatic field data and ion balance data.

[0026] It should be noted that the preset working area is the predefined spatial range of automated equipment processing products in electrostatically sensitive production and processing workshops such as the electronics industry, spraying, printing, and textiles. Within this range, multiple anti-static devices for reducing or eliminating static electricity on the surface of objects can be set up to eliminate static electricity generated by products during the processing or circulation process.

[0027] This is because, in many processing environments, products are prone to generate static electricity due to friction, separation, etc., and static electricity can have an adverse effect on production. For example, in the electronics industry, static electricity may damage sensitive electronic components; in the printing industry, static electricity can cause paper to absorb dust or uneven ink distribution.

[0028] Among them, the static electricity removal equipment may include: ion fans, ion wind rods, ion air guns, induction static electricity eliminators, AC static electricity eliminators, etc. According to different processing industries, one or more types may be set, and this embodiment does not limit this.

[0029] For ease of understanding, for example, in an electronics production workshop, when workers or robotic arms operate circuit boards, ions blown out by the ion blower can quickly neutralize static electricity generated on the circuit boards due to friction and other reasons, preventing static electricity from damaging electronic components.

[0030] For example, on the production line of plastic film, ion wind bars can eliminate static electricity on the surface of the film, preventing the film from absorbing dust or sticking to each other.

[0031] It is understandable that during the working process of the static electricity removal equipment, the static electricity removal equipment generally records the actual operating conditions and related working parameters (i.e., the current static electricity removal working conditions) when performing the static electricity removal work at the current moment, such as the operating mode of the equipment (such as continuous working mode or intermittent working mode), the efficiency of ion generation (such as the number of positive and negative ions generated per unit time), etc.

[0032] The target electrostatic field data is numerical information related to the electrostatic field detected on the surface of the product by the anti-static equipment before eliminating the static electricity on the surface of the product, including the intensity and distribution of the electrostatic field.

[0033] Through the target electrostatic field data, the static electricity removal device can generate corresponding positive or negative ions to neutralize static electricity, and the ion balance data is the data recorded in the static electricity removal device that reflects the number of positive ions or negative ions generated.

[0034] In a specific implementation, when products are processed normally in a preset working area of ​​a production workshop, a plurality of anti-static devices for reducing or eliminating static electricity on the surface of products are arranged in the preset working area. The anti-static device generally records the current anti-static working conditions when performing anti-static work at the current moment, including the target electrostatic field data detected on the surface of the product before eliminating static electricity on the surface of the product, and the ion balance data of the number of positive or negative ions generated by the anti-static device. The monitoring equipment can collect the above data in real time to cooperate with the anti-static equipment to ensure the normal operation of the entire processing process.

[0035] Step S20: 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 flow of the measured product in the preset working area.

[0036] It should be noted that the product under test may be the object of testing its electrostatic-related characteristics. The preset electrostatic alarm threshold may be a numerical limit pre-set in the monitoring device to determine whether the static electricity on the surface of the product under test may cause harm; for example, in an electronic equipment production workshop, excessive static electricity may damage electronic components, so the static electricity alarm threshold may be preset according to the maximum static electricity level that the electronic components can withstand.

[0037] When the actual monitored target electrostatic field data (such as electrostatic field strength, static charge and other parameters) exceeds the preset electrostatic alarm threshold, static electricity may cause harm to the production process. This means that the static electricity removal equipment has not effectively eliminated static electricity. At this time, the monitoring equipment can determine that the static electricity removal equipment in the area is faulty (i.e., abnormal equipment).

[0038] It is understandable that the production process can be a series of processes in the production workshop, which gradually transforms raw materials into finished products and inspects semi-finished products or finished products. In the production process, there are multiple links, and in some links where static electricity may be generated, corresponding static electricity removal equipment will be equipped.

[0039] Therefore, taking the processing link as an example, when the static electricity removal equipment in a certain link fails, static electricity on the surface of the product will continue to exist or even accumulate from this link to the next link and from this link to the previous link. At this time, there is static electricity abnormality in the process from the previous link of this link to the next link of this link, that is, the static electricity abnormality in this area is a region.

[0040] In the specific implementation, when the monitoring device detects that the target electrostatic field data reaches the preset electrostatic alarm threshold, it means that the electrostatic removal equipment has not done an effective job of eliminating static electricity, so it can be determined that the electrostatic removal equipment in the area is faulty. Then, the abnormal electrostatic area that has always existed or even accumulated can be determined based on the production process of the abnormal equipment in the tested product.

[0041] In a feasible implementation, step S20 of this embodiment may include the steps of: obtaining a working mapping position table of each static electricity removal device in the preset working area, wherein 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 static electricity removal device; determining the abnormal working point of the abnormal device based on the working mapping position table; determining the static electricity abnormal area according to the working area corresponding to the abnormal working point in the production process flow.

[0042] It should be noted that the work mapping position table can be a table used to represent the position relationship of the static electricity removal equipment in the production process of the processing workshop, which may include the processing links and processing areas of the tested products, and the coordinates of the static electricity removal equipment in each link (i.e., the working point).

[0043] When a fault occurs in the static electricity removal equipment (ie, the abnormal equipment mentioned above), the working point where the abnormal equipment is located may be marked as an abnormal working point.

[0044] In this embodiment, the monitoring device can first obtain the work mapping position table of each static electricity removal device in the preset working area. The work mapping position table records information such as the processing links, processing areas, and coordinates of the static electricity removal devices in each link of the tested product. Through the work 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 electricity removal equipment at the abnormal working point does not perform the static electricity elimination work normally, it means that the static electricity of the tested product 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-mentioned work mapping position table, the monitoring device can quickly determine the abnormal link to avoid untimely processing.

[0045] In another feasible implementation, the step of determining the electrostatic abnormal area according to the working area corresponding to the abnormal working point in the production process flow described 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 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.

[0046] It should be noted that the overlapping transfer process can refer to a process in which the transfer links partially overlap or are parallel during the processing of the tested product. For example, some semi-finished products may be the same in a certain section of the transfer path when they are transported to different subsequent processes. If the static electricity removal equipment in two adjacent working areas is abnormal, and the products are frequently transferred between the two areas, then during the overlapping transfer process, since the above-mentioned abnormal equipment does not perform static electricity elimination work, the static electricity on the surface of the tested product may continue to accumulate in this link.

[0047] It is understandable that the first working point may be a working point of a static electricity removal device in an upstream link of the abnormal device, and the second working point may be a working point of a static electricity removal device in a downstream link of the abnormal device.

[0048] In this embodiment, after determining the first working point and the second working point, the working area between the first working point and the abnormal working point can be used as the first abnormal area, and the working area between the second working point and the abnormal working point can be used as the second abnormal area. Due to the overlapping transfer process, the static electricity accumulation degree in the first abnormal area and the second abnormal area is different. Therefore, the abnormal working point is used as the dividing point to divide it into two areas, which can further facilitate the subsequent work adjustment of other static electricity removal equipment.

[0049] Step S30: Based on the production process, the ion balance data of the static abnormality area is adjusted by a K-center point clustering algorithm to generate a static elimination coordination strategy.

[0050] It should be noted that the K-center point 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-center point clustering algorithm, the static electricity generated in the static abnormality area can be assigned to the subsequent static electricity removal equipment for collaborative elimination, so as to reduce the pressure on one of the static electricity removal equipment and reduce the impact of the abnormal equipment. The static electricity removal coordination strategy is a strategy generated by clustering and adjusting the ion balance data in the static electricity abnormality area through the K-center point clustering algorithm and assigning it to the remaining static electricity removal equipment for coordination.

[0051] In the specific implementation, after determining the electrostatic abnormality area, the monitoring device can cluster and adjust the ion balance data of the electrostatic abnormality area through the K-center point clustering algorithm to generate a static electricity removal coordination strategy that can distribute the static electricity generated in the static electricity abnormality area to subsequent static electricity removal equipment for collaborative elimination.

[0052] In a feasible implementation, step S30 of this embodiment may include the following steps: based on the production process flow, removing the outliers of the ion balance data of the preset working area to obtain the ion balance data after removing the outliers; standardizing the ion balance data after removing the outliers by the Z-score method to obtain standardized data; taking the ion balance data of the electrostatic abnormality area as the center point, clustering the standardized data by the K-center point clustering algorithm to generate a clustering allocation result; adjusting the static electricity removal equipment according to the clustering allocation result to generate a static electricity removal coordination strategy.

[0053] It should be noted that the abnormal value may be an obviously unreasonable value in all ion balance data in the preset working area, such as an obviously unreasonable data point generated by a sensor failure or sudden interference, or data generated by a failure of an anti-static device.

[0054] It is understandable that the Z-score method can be a method for standardizing data, and each data point in the ion balance data after removing outliers can be standardized and converted into a distribution with a mean of 0 and a standard deviation of 1.

[0055] Through the standardization processing of the Z-score method, the ion balance data with different dimensions, means and standard deviations after removing outliers can be converted to a unified standard scale, which is convenient for subsequent clustering of the data.

[0056] It should be understood that the clustering allocation result can be a grouping of the distances between the data points of the remaining static electricity removal equipment and the center point (i.e., the data point of the abnormal equipment) after clustering the standardized data through the K-center point clustering algorithm. Then, the grouping is converted into ion balance data on a year-on-year basis to generate a static electricity removal coordination strategy.

[0057] In this embodiment, the monitoring device can first remove outliers from the ion balance data collected from each static electricity removal device, and then perform standardization processing to obtain standardized data. The standardized data can then be clustered using the K-center point clustering algorithm to generate a cluster allocation result that reflects the distance between the data points of the remaining static electricity removal devices and the center point (i.e., the data point of the abnormal device). Finally, based on the cluster allocation result, it is converted into ion balance data on a year-on-year basis, and a static electricity removal coordination strategy for the static electricity removal equipment can be generated. Through the above-mentioned standardization processing, the ion balance data after removing outliers of different dimensions, different means and standard deviations can be converted to a unified standard scale, which is convenient for subsequent clustering of data.

[0058] In another feasible implementation, the step of clustering the standardized data using the K-center point clustering algorithm with the ion balance data of the electrostatic abnormal area as the center point to generate a clustering allocation result described in this embodiment includes: taking the number of the anti-static equipment as the number of clusters and the ion balance data of the first abnormal area as the initial center point, clustering the standardized data using the K-center point clustering algorithm to obtain a first clustering result; taking the minimum electrostatic discharge as the optimization goal, adjusting the ion balance data of the second abnormal area to the second center point, and clustering the first clustering result again using the K-center point clustering algorithm to generate a clustering allocation result.

[0059] It should be noted that the number of clusters can be the number of different groups into which the ion balance data in the preset working area is divided during the cluster analysis process of the K-center point clustering algorithm. The initial center point can be the initial point at which the ion balance data of the first abnormal area is used as the cluster center at the beginning of clustering. The first clustering result can be the grouping of the distances between the data points of the remaining static electricity removal devices and the initial center point obtained after clustering by the K-center point clustering algorithm with the initial center point.

[0060] It is understandable that the amount of electrostatic discharge can refer to the amount of charge transferred during the electrostatic discharge process. When the static electricity removal equipment removes static electricity from the surface of the product under test, the charges will be redistributed between them, forming an electrostatic discharge phenomenon. At this time, a large amount of electrostatic discharge may produce a relatively strong discharge phenomenon, which may affect the product under test.

[0061] Therefore, when clustering is performed using the K-center point clustering algorithm, clustering can be performed with the minimum electrostatic discharge as the optimization goal to reduce the adverse effects of subsequent electrostatic elimination by static electricity removal equipment.

[0062] The second center point is the point where the ion balance data of the second abnormal area is used as the cluster center after the initial center point clustering is completed. At this time, the second clustering result can be the grouping of the distances between the data points of the remaining static electricity removal equipment and the second center point after clustering again with the K-center point clustering algorithm based on the second center point.

[0063] By gradually performing clustering operations using the ion balance data of the 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 static electricity abnormal area can be further reasonably distributed to the remaining static electricity removal devices for collaborative elimination, thereby reducing the impact of failures caused by abnormal equipment.

[0064] In this embodiment, the monitoring device can use the number of static electricity removal devices as the number of clusters, and then select the ion balance data of the first abnormal area as the initial center point, perform the first clustering process, and obtain the first clustering result. Then, with the minimum electrostatic discharge as the optimization goal, the initial center point is updated to the ion balance data of the second abnormal area, and it is used as the second center point. The first clustering result is clustered again to generate a cluster allocation result. At this time, in the cluster allocation result, each cluster represents the data of static electricity elimination of each static electricity removal device. With this cluster allocation result, a strategy can be formulated for each static electricity device to coordinate the static electricity balance of the static electricity abnormal area between different processes. Therefore, through the clustering of the above-mentioned initial center point and the second center point, the fluctuation of static electricity elimination of the remaining static electricity devices between different areas and processes can be reduced, and the impact of failures caused by abnormal equipment can be reduced.

[0065] Step S40: Feedback the static electricity removal coordination strategy to each of the static electricity removal devices, so that each of the static electricity removal devices can perform static electricity removal on the product under test.

[0066] In a specific implementation, after the monitoring device analyzes and obtains the static electricity removal coordination strategy, the static electricity removal coordination strategy can be transmitted to each static electricity removal device in a preset working area, so that each static electricity removal device can cooperate to reduce the impact of abnormal equipment failure.

[0067] In the technical solution provided in this embodiment, when the product is processed normally in the preset working area of ​​the production workshop, a plurality of static electricity removal devices for reducing or eliminating static electricity on the surface of the product are arranged in the preset working area. The static electricity removal device generally records the current static electricity removal working condition when performing the static electricity removal work at the current moment, including the target static electricity field data detected on the surface of the product before eliminating the static electricity on the surface of the product, and the ion balance data of the number of positive ions or negative ions generated by the static electricity removal device. The monitoring device can collect the above data in real time to cooperate with the static electricity removal device to ensure the normal operation of the entire processing process. When the monitoring device detects that the target static electricity field data reaches the preset static electricity alarm threshold, it means that the static electricity removal device has not achieved effective static electricity elimination work, so it can be determined that the static electricity removal device in the area has failed. 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 in the product under test. Then, the ion balance data of the static electricity abnormal area is clustered and adjusted by the K-center point clustering algorithm to generate a static electricity removal coordination strategy that can realize the static electricity generated in the static electricity abnormal area and distribute it to the subsequent static electricity removal equipment for collaborative elimination. After the monitoring equipment analyzes and generates a static electricity removal coordination strategy, the static electricity removal coordination strategy can be transmitted to each static electricity removal device in the preset working area, so that each static electricity removal device cooperates, reduces the fluctuation of static electricity elimination of the remaining static electricity devices between different areas and processes, and reduces the impact of abnormal equipment failure. Since this embodiment monitors the current static electricity removal working conditions of each static electricity removal device in real time, when a static electricity removal device is detected as an abnormal device, it will adjust and generate a static electricity removal coordination strategy, and promptly feedback to each static electricity removal device for collaborative processing to reduce the impact of abnormal equipment. Through the efficient integration of the above-mentioned data collection, analysis, collaborative adjustment and other functions, a unified static electricity monitoring system platform can be constructed to achieve smooth data transmission and seamless collaboration between various links, ensuring that the entire collaborative adjustment process can be carried out automatically and coherently. Thereby achieving seamless collaboration between various links of the static electricity removal equipment, ensuring that the elimination of static electricity in the entire production and processing process can be carried out automatically and coherently.

[0068] Based on the above-mentioned embodiment 1 of the present application, the embodiment 2 of the present application is proposed. In the second embodiment of the present application, the same or similar contents as those of the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated later. On this basis, please refer to Figure 2 , Figure 2 A schematic diagram of the flow chart provided for the second embodiment of the static electricity elimination monitoring method of the present application.

[0069] Before step S30 of this example, the static elimination monitoring method further includes steps S201-S202: Step S201: collecting air humidity data of the static electricity abnormality area through a humidity sensor.

[0070] It should be noted that a humidity sensor can be a device that can sense the humidity of the environment and convert the humidity information into a measurable signal (usually an electrical signal). Air humidity data is used to quantify the amount of water vapor in the air.

[0071] Generally speaking, the lower the air humidity, the easier it is to generate static electricity. In a dry environment, the charge on the surface of an object is difficult to conduct and release, and the charge is easy to accumulate, thus generating static electricity. When the air humidity is high, water molecules will adsorb on the surface of the object to form a thin conductive layer, which helps to conduct and dissipate the charge, thereby reducing the generation of static electricity.

[0072] Therefore, the humidity sensor can be used to detect the air humidity data in the static electricity abnormality area to understand whether the air humidity in the static electricity abnormality area is appropriate.

[0073] Step S202: adjusting the air humidity data based on the target electrostatic field data of the electrostatic abnormality area to obtain a humidity adjustment strategy.

[0074] It should be noted that the humidity adjustment strategy can be a strategy for adjusting the air humidity in the area with abnormal static electricity to reduce the static electricity generated on the surface of the product under test, such as increasing the humidity by adding water vapor through a humidifier.

[0075] Correspondingly, the step S40 includes step S41: feeding back the humidity adjustment strategy to the air humidity adjustment device in the static electricity abnormality area for humidity adjustment, and feeding back the static electricity removal coordination strategy to each static electricity removal device for static electricity removal of the tested product.

[0076] It should be noted that the air humidity regulating device may be a device specifically used to change the humidity level in the air, such as an ultrasonic humidifier, an evaporative humidifier, and the like.

[0077] In this embodiment, after determining the static electricity abnormality area, the monitoring equipment can further collect air humidity data in the static electricity abnormality area through a humidity sensor; generate a humidity adjustment strategy through the target static electricity field data of the static electricity abnormality area to adjust the air humidity in the static electricity abnormality area, thereby further reducing the generation of static electricity on the surface of the product being tested.

[0078] Furthermore, after step S41 of this example, the static electricity elimination monitoring method also includes the steps of: obtaining the equipment number of the abnormal equipment and the location range data of the static electricity abnormal area; generating a static electricity elimination monitoring report according to the current static electricity removal working condition, the equipment number, the location range data, the humidity adjustment strategy and the static electricity removal coordination strategy; updating the current static electricity removal working condition after each static electricity removal equipment executes the static electricity removal coordination strategy; visually displaying the static electricity elimination monitoring report and issuing a static electricity elimination abnormality alarm.

[0079] It should be noted that the device number can be an identification code of the static electricity removal device, which is used to quickly distinguish different static electricity removal devices and clarify the identity of each device. The location range data is the range of the static electricity abnormal area in the preset working area, which can be determined by the working point position of the above-mentioned working mapping position table, and this embodiment does not limit this.

[0080] It is understandable that the static electricity elimination monitoring report can be a report used to record and present information such as the operating parameters of the static electricity elimination equipment, the scope of the fault, the coordination strategy adopted, the actual effect of static electricity elimination, etc. when the static electricity elimination equipment fails.

[0081] In this embodiment, the static elimination monitoring report can intuitively and easily monitor and display the real-time changes of each static elimination device in real time, and display the execution of the coordinated adjustment strategy when a fault occurs and the final static control effect, etc. Even if new static elimination equipment is connected later, new adjustment strategies can be added at any time, which is convenient for managers to understand the operating status of each static elimination equipment in a timely manner.

[0082] This application also provides a static elimination monitoring device, please refer to Figure 3 , Figure 3 This is a schematic diagram of the module structure of the static elimination monitoring device according to an embodiment of the present application; the static elimination monitoring device comprises: The data collection module 301 is 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; The abnormality analysis module 302 is 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 303 is used to adjust the ion balance data of the static abnormality area based on the production process flow by using a K-center point clustering algorithm to generate a static elimination coordination strategy; The device coordination module 304 is used to feed 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 product under test.

[0083] As an embodiment, the abnormality analysis module 302 is also used to obtain a working mapping position table of each static electricity removal device in the preset working area, wherein the working mapping position table is composed of a production process flow of the product under test in the preset working area and working points of each static electricity removal device; based on the working mapping position table, the abnormal working point of the abnormal device is determined; and according to the working area corresponding to the abnormal working point in the production process flow, the static electricity abnormality area is determined.

[0084] As an embodiment, the abnormal analysis module 302 is also used to determine whether the abnormal working point is in a transfer overlapping process according to 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.

[0085] As an implementation mode, the strategy adjustment module 303 is also used to remove outliers in the ion balance data of the preset working area based on the production process flow to obtain the ion balance data after removing the outliers; standardize the ion balance data after removing the outliers by the Z-score method to obtain standardized data; cluster the standardized data with the ion balance data of the electrostatic abnormal area as the center point by the K-center point clustering algorithm to generate a clustering allocation result; adjust the static electricity removal equipment according to the clustering allocation result to generate a static electricity removal coordination strategy.

[0086] As an implementation mode, the strategy adjustment module 303 is also used to use the number of the static electricity removal devices as the number of clusters and the ion balance data of the first abnormal area as the initial center point, cluster the standardized data through the K-center point clustering algorithm to obtain a first clustering result; with the minimum electrostatic discharge as the optimization goal, adjust the ion balance data of the second abnormal area to the second center point, and cluster the first clustering result again through the K-center point clustering algorithm to generate a cluster allocation result.

[0087] As an implementation mode, the strategy adjustment module 303 is also used to collect air humidity data of the electrostatic abnormality area through a humidity sensor; the air humidity data is adjusted based on the target electrostatic field data of the electrostatic abnormality area to obtain a humidity adjustment strategy; accordingly, the equipment coordination module 304 is also used to feed back the humidity adjustment strategy to the air humidity adjustment device in the electrostatic abnormality area for humidity adjustment, and feed back the static electricity removal coordination strategy to each static electricity removal device to eliminate static electricity on the product under test.

[0088] As an implementation mode, the equipment coordination module 304 is also used to obtain the equipment number of the abnormal equipment and the location range data of the static electricity abnormality area; generate a static electricity elimination monitoring report according to the current static electricity removal working condition, the equipment number, the location range data, the humidity adjustment strategy and the static electricity removal coordination strategy; update the current static electricity removal working condition after each static electricity removal equipment executes the static electricity removal coordination strategy; visualize the static electricity elimination monitoring report and issue a static electricity elimination abnormality alarm.

[0089] Other embodiments or specific implementations of the static elimination monitoring device of the present application can refer to the above-mentioned method embodiments and will not be repeated here.

[0090] The static elimination monitoring device provided by the present application adopts the static elimination monitoring method in the above embodiment, which can solve the technical problem that the monitoring of existing static elimination equipment is generally managed individually one-to-one. When a static elimination equipment fails, if it is not handled 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 the beneficial effects of the static elimination monitoring method provided by the above embodiment, and the other technical features of the static elimination monitoring device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0091] The present application provides an electrostatic elimination monitoring device, which includes: at least one processor; and a memory that is communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the electrostatic elimination monitoring method in the above-mentioned embodiment one.

[0092] Reference below Figure 4 , Figure 4The device structure diagram of the hardware operating environment involved in the static elimination monitoring method in the embodiment of the present application shows a schematic diagram of the structure of the static elimination monitoring device suitable for implementing the embodiment of the present application. The static elimination monitoring device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), 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 static electricity elimination monitoring device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0093] like Figure 4 As shown, the static elimination monitoring device may include a processing device 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory 1002 or a program loaded from a storage device 1003 to a 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. An input / output interface 1006 is also connected to the bus. Generally, the following systems can be connected to the input / output interface 1006: an input device 1007 including, for example, a touch screen, a touch pad, 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 can allow the static elimination monitoring device to communicate with other devices wirelessly or wired to exchange data. Although the static elimination monitoring device with various systems is shown in the figure, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or have alternatively.

[0094] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. 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 a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a read-only memory 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0095] The static elimination monitoring device provided by the present application adopts the static elimination monitoring method in the above embodiment, which can solve the technical problem that the monitoring of existing static elimination equipment is generally managed individually through one-to-one management. When a static elimination equipment fails, if it is not handled 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 the beneficial effects of the static elimination monitoring method provided by the above embodiment, and the other technical features of the static elimination monitoring device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0096] It should be understood that the various parts 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 any one or more embodiments or examples in a suitable manner.

[0097] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0098] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the static electricity elimination monitoring method in the above-mentioned embodiment.

[0099] The computer-readable storage medium provided in the present application may 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 may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM: Random Access Memory), a read-only memory (ROM: Read Only Memory), an erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM: CD-Read Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency: Radio Frequency), etc., or any suitable combination of the above.

[0100] The computer-readable storage medium may be included in the static electricity elimination monitoring device; or may exist independently without being assembled into the static electricity elimination monitoring device.

[0101] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the static electricity elimination monitoring device, the static electricity elimination monitoring device: collects the current static electricity removal conditions of each static electricity removal device in a preset working area, and the current static electricity removal conditions include target static electricity field data and ion balance data; when it is detected that the target static electricity field data reaches the preset static electricity alarm threshold, the corresponding static electricity removal device is determined to be an abnormal device, and the static electricity abnormal area is determined 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, the ion balance data of the static electricity abnormal area is adjusted by the K-center point clustering algorithm to generate a static electricity removal coordination strategy; and the static electricity removal coordination strategy is fed back to the each static electricity removal device so that the each static electricity removal device can perform static electricity elimination on the product under test.

[0102] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate 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 (e.g., via the Internet using an Internet service provider).

[0103] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0104] The modules involved in the embodiments described in the present application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0105] The readable storage medium provided by the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned static elimination monitoring method, and can solve the technical problem that the monitoring of existing static elimination equipment is generally managed individually one-to-one, and when a static elimination equipment fails, if it is not handled in time, it will affect the entire production process. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as the beneficial effects of the static elimination monitoring method provided by the above-mentioned embodiment, and will not be repeated here.

[0106] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are 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; The static electricity removal coordination strategy is fed back to each static electricity removal device, so that each static electricity removal device can perform static electricity removal on the tested product.

2. The method according to claim 1, characterized in that The step of determining the electrostatic abnormal area according to the abnormal equipment and the production process flow of the product under test in the preset working area includes: Obtaining 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 product under test in the preset work area and a work point position of each static electricity removal device; Based on the work mapping position table, determining the abnormal working point of the abnormal equipment; According to the abnormal working point being located in the working area corresponding to the production process flow, an abnormal static electricity area is determined.

3. The method according to claim 2, characterized in that The step of determining the static abnormal area according to the abnormal working point being located in the working area corresponding to the production process flow comprises: According to the production process, determining whether the abnormal working point is in a transfer overlapping process; When the abnormal working point is in the transfer overlapping process, determining a first working point of the static electricity removal equipment upstream of the abnormal equipment and a 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 a first abnormal area, and taking the working area between the abnormal working point and the second working point as a second abnormal area; The first abnormal region and the second abnormal region are regarded as static electricity abnormal regions.

4. The method according to claim 3, 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.

5. The method according to claim 4, 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.

6. The method according to any one of claims 1 to 5, 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 adjust the humidity, and the static electricity removal coordination strategy is fed back to each static electricity removal device to eliminate static electricity from the tested product.

7. The method according to claim 6, 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.

8. 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; The equipment coordination module is used to feed 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 product under test.

9. 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 7.

10. 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 7 are implemented.

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