Toner production workshop safety management method, device, equipment and medium

Abstract

The invention relates to a powdered ink production workshop safety management method, device and equipment and a medium, and is applied to the technical field of production workshop safety management, and the method comprises the following steps: obtaining environment monitoring data and equipment monitoring data; analyzing the environment monitoring data, and determining environment abnormal information; analyzing the equipment monitoring data, and determining equipment abnormal information; analyzing the environment abnormal information and the equipment abnormal information, and determining influence equipment; and determining an exception management strategy based on the influence equipment, the environment exception information and the equipment exception information. The method has the effect of improving the reliability of safety management.

Description

Technical Field

[0001] This application relates to the technical field of safety management in production workshops, and in particular to a method, apparatus, equipment and medium for safety management in toner production workshops. Background Technology

[0002] In the toner manufacturing industry, with the continuous expansion of industrial production scale and the sustained development of technology, workshop safety management has become increasingly important. The level of safety management directly affects the continuity of production, product quality, and the safety of personnel. Good safety management can effectively reduce the probability of accidents, ensure the stable operation of the workshop, and thus improve the economic benefits and social image of the entire enterprise.

[0003] Currently, to ensure the safety of toner production workshops, the following two methods are commonly used: First, arrange for regular manual inspections, where staff check the workshop environment and equipment at fixed intervals to see if there are any obvious abnormalities; second, install simple environmental monitoring equipment in the workshop, relying on the equipment's own alarm devices, which will issue an alarm when abnormal data is detected.

[0004] However, existing safety management methods have significant shortcomings. Manual inspections are time-sensitive, making it difficult to detect anomalies in real time and prone to human error, resulting in low reliability of safety management. Simple environmental monitoring equipment alarms based on only a single monitoring data point without considering other data, leading to low alarm reliability and consequently low reliability of safety management. Summary of the Invention

[0005] To improve the reliability of safety management, this application provides a method, apparatus, equipment, and medium for safety management in a toner production workshop.

[0006] Firstly, this application provides a safety management method for toner production workshops, employing the following technical solution: A safety management method for a toner production workshop includes: Acquire environmental monitoring data and equipment monitoring data; The environmental monitoring data is analyzed to identify environmental anomalies. The monitoring data of the equipment is analyzed to determine abnormal equipment information; The environmental anomaly information and the equipment anomaly information are analyzed to determine the equipment affecting them; An anomaly management strategy is determined based on the affected equipment, the environmental anomaly information, and the equipment anomaly information.

[0007] By adopting the above technical solutions, analyzing environmental monitoring data to determine environmental anomalies, and analyzing equipment monitoring data to determine equipment anomalies, anomalies in the production workshop can be detected in a timely and accurate manner, affecting equipment and anomaly management strategies can be identified. In this way, anomalies can be handled quickly and accurately according to the anomaly management strategies, thereby improving the reliability of safety management.

[0008] Optionally, the environmental monitoring data includes dust collection volume and sensor monitoring data, and the analysis of the environmental monitoring data to determine environmental anomalies includes: Obtain production data within a preset time period; The dust collection threshold is determined based on the production data; The dust collection amount is compared with the dust collection threshold to determine abnormal dust collection information; The sensor monitoring data is analyzed to determine sensor anomaly information; The environmental anomaly information is determined based on the powder quantity anomaly information and the sensor anomaly information.

[0009] By adopting the above technical solution, when determining environmental anomalies, not only can sensor anomalies be determined based on sensor monitoring data, but also toner anomalies can be determined based on the dust collection volume of dust removal equipment. This allows for a more accurate and comprehensive identification of anomalies in the toner production workshop environment, providing a more reliable basis for subsequently determining the equipment affecting the anomaly and implementing anomaly management strategies.

[0010] Optionally, determining the dust collection threshold based on the production data includes: Acquire historical production information, which includes historical production data and historical dust generation. The historical production information is analyzed to determine the production correlation, which is the relationship between the historical production data and the historical dust generation. The theoretical dust collection volume is determined based on the aforementioned production correlation and the aforementioned production data; Obtain the dust concentration threshold; The amount of dust in the workshop is determined based on the dust concentration threshold and the workshop area. The dust collection threshold is determined based on the theoretical dust collection amount and the amount of dust in the workshop.

[0011] By adopting the above technical solution and analyzing historical production information, the production correlation between historical production data and historical dust generation can be determined. This allows us to determine the theoretical dust collection amount under the current production data. By determining the dust concentration threshold and workshop area of ​​the production workshop, the amount of dust in the workshop can be determined, and thus the dust collection threshold can be determined. This makes the dust collection threshold more accurate and provides a more reliable basis for subsequently determining abnormal dust information.

[0012] Optionally, the step of analyzing the sensor monitoring data to determine sensor anomaly information includes: The sensor monitoring data is compared with a preset threshold to determine the first abnormal information; Analyze the changing trends of the sensor monitoring data to determine the second anomaly information; Obtain the rules for determining related anomalies; The third anomaly information is determined based on the aforementioned correlation anomaly judgment rules and the sensor monitoring data; The sensor anomaly information is determined based on the first anomaly information, the second anomaly information, and the third anomaly information.

[0013] By adopting the above technical solution, sensor abnormality information is determined by comparing sensor monitoring data with preset thresholds, analyzing changing trends, and judging abnormalities by combining correlation abnormality judgment rules, thereby improving the comprehensiveness of sensor abnormality information.

[0014] Optionally, the step of analyzing the environmental anomaly information and the equipment anomaly information to determine the equipment affecting it includes: Based on the environmental anomaly information and the equipment anomaly information, an abnormal device is identified, which is the device directly affected by the anomaly. Obtain the linkage process of the equipment; The affected equipment is determined based on the aforementioned linkage process and the malfunctioning equipment.

[0015] By adopting the above technical solution, after determining the abnormal environmental information and equipment information, the directly affected abnormal equipment is first identified based on the abnormal information, and then the affected equipment is determined by combining the linked processes of the equipment. This can comprehensively and accurately identify the equipment affected by the abnormal situation, providing an accurate basis for the subsequent formulation of abnormality management strategies and improving the pertinence and effectiveness of safety management in the toner production workshop.

[0016] Optionally, the anomaly management strategy includes a maintenance strategy, and determining the anomaly management strategy based on the affected equipment, the environmental anomaly information, and the equipment anomaly information includes: The anomaly level and anomaly type are determined based on the environmental anomaly information and the equipment anomaly information; Determine whether shutdown for maintenance is required based on the type and level of the anomaly. If maintenance is required, the sequence of coordinated shutdowns will be determined based on preset rules and the affected equipment. The maintenance strategy is determined based on the aforementioned coordinated shutdown sequence.

[0017] By adopting the above technical solutions, the level and type of anomalies can be determined based on environmental and equipment anomaly information. This allows for accurate assessment of the severity and category of anomalies, and thus, a decision on whether maintenance shutdown is necessary. If maintenance shutdown is required, a coordinated shutdown sequence can be determined based on preset rules and the affected equipment, enabling the equipment to be stopped for maintenance in an orderly manner. This effectively improves the safety and stability of equipment operation in the toner production workshop and reduces losses caused by anomalies.

[0018] Optionally, the anomaly management strategy includes a post-monitoring strategy, wherein determining the anomaly management strategy based on the affected device, the environmental anomaly information, and the device anomaly information includes: If the dust quantity abnormality information exists and the dust concentration in the environmental monitoring data is not abnormal, then the abnormality level is determined based on the dust quantity abnormality information. The number of new dust concentration detection devices will be determined based on the aforementioned anomaly level. Obtain workshop equipment information and the current installation location of the dust concentration detection equipment; Based on the workshop equipment information and the current installation location, a candidate installation location for the dust concentration detection equipment is determined. The new installation location is determined based on the candidate installation locations and the number of new locations; The post-installation monitoring strategy is determined based on the newly added installation location.

[0019] By adopting the above technical solution, when there is abnormal information about toner quantity but no abnormal dust concentration, the subsequent monitoring strategy can be determined by determining the number of new dust concentration detection devices and their installation locations. This allows for more accurate and effective subsequent monitoring of the toner production workshop and improves the workshop's safety management level.

[0020] Secondly, this application provides a safety management device for a toner production workshop, which adopts the following technical solution: A safety management device for a toner production workshop, comprising: The monitoring data acquisition module is used to acquire environmental monitoring data and equipment monitoring data; An environmental anomaly determination module is used to analyze the environmental monitoring data and determine environmental anomaly information; The equipment anomaly determination module is used to analyze the equipment monitoring data and determine equipment anomaly information; The affected equipment determination module is used to analyze the environmental anomaly information and the equipment anomaly information to determine the affected equipment; The management strategy determination module is used to determine anomaly management strategies based on the affected devices, the environmental anomaly information, and the device anomaly information.

[0021] By adopting the above technical solutions, analyzing environmental monitoring data to determine environmental anomalies, and analyzing equipment monitoring data to determine equipment anomalies, anomalies in the production workshop can be detected in a timely and accurate manner, affecting equipment and anomaly management strategies can be identified. In this way, anomalies can be handled quickly and accurately according to the anomaly management strategies, thereby improving the reliability of safety management.

[0022] Thirdly, this application provides an electronic device that adopts the following technical solution: An electronic device includes a processor coupled to a memory; The memory stores a computer program that can be loaded by a processor and executed as described in any of the first aspects regarding the safety management method for toner production workshops.

[0023] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium storing a computer program capable of being loaded by a processor and executing the toner production workshop safety management method according to any one of the first aspects. Attached Figure Description

[0024] Figure 1 This is a flowchart illustrating a safety management method for a toner production workshop provided in an embodiment of this application.

[0025] Figure 2 This is a structural block diagram of a safety management device for a toner production workshop provided in an embodiment of this application.

[0026] Figure 3 This is a structural block diagram of the electronic device provided in the embodiments of this application. Detailed Implementation

[0027] The present application will be further described in detail below with reference to the accompanying drawings.

[0028] This application provides a safety management method for a toner production workshop. This method can be executed by an electronic device, which can be a server or a terminal device. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, tablet, desktop computer, etc., but is not limited to these.

[0029] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0030] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0031] like Figure 1 As shown, a safety management method for a toner production workshop is described in the following steps (S101-S105): Step S101: Obtain environmental monitoring data and equipment monitoring data.

[0032] The environmental monitoring data includes dust collection volume and sensor monitoring data. A large amount of dust is generated during toner production. The dust collection volume refers to the amount of dust collected by the dust removal equipment in the toner production workshop within a preset time period (e.g., 3 hours, 12 hours, etc.). The dust collection volume can be obtained through weighing sensors within the dust removal equipment. Various environmental monitoring devices are installed at multiple locations in the toner production workshop, such as temperature sensors, humidity sensors, smoke sensors, dust concentration detectors, and electrostatic voltage detectors, from which sensor monitoring data is obtained.

[0033] Meanwhile, various production equipment in the toner production workshop are also equipped with status monitoring devices to monitor the operating status of the production equipment, such as vibration sensors, current and voltage monitoring devices, pressure sensors, and valve status feedback devices (e.g., limit switches, encoders / potentiometers, etc.), to obtain equipment monitoring data from the status monitoring devices.

[0034] Step S102: Analyze the environmental monitoring data to identify abnormal environmental information.

[0035] Specifically, environmental monitoring data is analyzed to identify environmental anomalies, including: acquiring production data within a preset time period; determining dust collection thresholds based on production data; comparing dust collection volume with dust collection thresholds to identify dust quantity anomalies; analyzing sensor monitoring data to identify sensor anomalies; and identifying environmental anomalies based on dust quantity anomalies and sensor anomalies.

[0036] In this embodiment, production data within a preset time period is obtained from the staff. Production data includes production type, production process, production volume, etc. Different production data result in different amounts of dust generated during the production process, so the amount of dust collected by the dust removal equipment will also vary. The dust collection threshold is determined through the production data. The current dust collection volume is compared with the dust collection threshold. If the dust collection volume is lower than the dust collection threshold, it indicates that the current dust volume in the workshop is still high, posing a safety hazard. At this time, dust volume abnormality information is generated. The dust volume abnormality information includes abnormal data (including the current dust collection volume and the dust collection threshold), abnormality type (workshop dust abnormality), and abnormality level. The abnormality level can be determined based on the difference or ratio between the dust collection volume and the dust collection threshold. The database pre-stores the correspondence between dust collection volume, dust collection threshold, and abnormality level. The abnormality level is matched from the database based on the dust collection volume and the dust collection threshold.

[0037] Analyze the sensor monitoring data to identify sensor anomalies. Combine the powder quantity anomalies with the sensor anomalies to identify environmental anomalies.

[0038] More specifically, determining the dust collection threshold based on production data includes: acquiring historical production information, which includes historical production data and historical dust generation; analyzing the historical production information to determine production correlations, which are the relationships between historical production data and historical dust generation; determining the theoretical dust collection amount based on the production correlations and production data; acquiring the dust concentration threshold; determining the workshop dust amount based on the dust concentration threshold and workshop area; and determining the dust collection threshold based on the theoretical dust collection amount and workshop dust amount.

[0039] In this embodiment, historical production information is obtained from the database. The historical dust generation amount in the historical production information is the amount of dust released into the air when toner is produced according to the historical production data. The historical production information is analyzed by data analysis tools (e.g., Python, EXCEL, etc.) to determine the correlation between the historical production data and the historical dust generation amount, i.e., the production correlation. The dust generation amount is matched from the production correlation based on the current production data, and the matched dust generation amount is determined as the theoretical dust collection amount.

[0040] The production workshop has a maximum permissible dust concentration, i.e., a dust concentration threshold. The dust concentration threshold and workshop area are obtained from the staff. Workshop dust amount = dust concentration threshold × workshop area. The workshop dust amount is the maximum permissible dust amount in the workshop. Dust collection threshold = theoretical dust collection amount - workshop dust amount.

[0041] Specifically, the sensor monitoring data is analyzed to determine sensor anomaly information, including: comparing the sensor monitoring data with a preset threshold to determine the first anomaly information; analyzing the changing trend of the sensor monitoring data to determine the second anomaly information; obtaining the correlation anomaly judgment rule; determining the third anomaly information based on the correlation anomaly judgment rule and the sensor monitoring data; and determining the sensor anomaly information based on the first anomaly information, the second anomaly information, and the third anomaly information.

[0042] In this embodiment, the sensor monitoring data is compared with the corresponding preset threshold. If the sensor monitoring data does not meet the corresponding preset threshold, a first abnormality information is generated. The first abnormality information includes abnormal data (sensor monitoring data that does not meet the preset threshold), abnormality type (data abnormality), and abnormality level. The preset threshold includes multiple threshold intervals, and different threshold intervals correspond to different abnormality levels. The abnormality level is determined according to the threshold interval in which the sensor monitoring data is located.

[0043] The data analysis tool analyzes the changing trend of sensor monitoring data. If the changing trend does not conform to the preset changing trend, a second abnormality information is generated. The second abnormality information includes abnormal data (i.e., sensor monitoring data sequence that does not conform to the preset changing trend), abnormality type (abnormal data change), and abnormality level. The database stores the correspondence between the degree of deviation of the changing trend of sensor monitoring data from the preset changing trend, the duration of the deviation, and the abnormality level. The abnormality level is matched from the database according to the degree of deviation and the duration of the deviation of the changing trend of sensor monitoring data from the preset changing trend.

[0044] The system retrieves correlation anomaly judgment rules from the database. These rules are used to jointly determine anomalies based on data from two or more sensors. The sensor monitoring data is then judged according to these rules. If anomalies are found, a third anomaly information is generated. This third anomaly information includes the anomalous data (i.e., the sensor monitoring data that are jointly determined to be anomalous), the anomaly type (data correlation anomaly), and the anomaly level. The correlation anomaly judgment rules include rules for determining the anomaly level. When judging anomalies in the sensor monitoring data according to these rules, the anomaly level can be determined simultaneously. The first, second, and third anomaly information are collectively identified as sensor anomaly information.

[0045] Step S103: Analyze the equipment monitoring data to determine equipment anomaly information.

[0046] The process of analyzing equipment monitoring data to determine equipment anomaly information is the same as the process of determining sensor anomaly information described above. It also includes several methods such as comparing with the corresponding preset threshold, comparing data change trends, and using association anomaly judgment rules to associate two or more types of equipment monitoring data for anomaly judgment. These will not be elaborated here.

[0047] In addition to the methods mentioned above, the process of determining equipment abnormality information also includes equipment response abnormality judgment. When the operator operates the equipment (e.g., presses a function button), the response status of the corresponding valve is obtained through the valve status feedback device. If the response status of the corresponding valve does not match the operator's operation, the equipment is abnormal. The equipment abnormality information includes abnormal data (response status of the corresponding valve), abnormality type (valve response abnormality), and abnormality level. Different valves correspond to different abnormality levels. The abnormality level is obtained from the database based on the valve with the abnormal response.

[0048] Step S104: Analyze the environmental anomaly information and equipment anomaly information to determine the equipment affected.

[0049] Specifically, the analysis of environmental and equipment anomaly information is used to identify the affected equipment, including: identifying abnormal equipment based on environmental and equipment anomaly information, where abnormal equipment is the equipment directly affected by the anomaly; obtaining the linkage processes of the equipment; and identifying the affected equipment based on the linkage processes and the abnormal equipment.

[0050] In this embodiment, the equipment at the location corresponding to the abnormal data in the environmental anomaly information and the equipment corresponding to the equipment anomaly information are identified as abnormal equipment. The linkage process of the equipment is obtained from the staff. The affected equipment includes the abnormal equipment, the preceding equipment of the abnormal equipment in the linkage process, and the following equipment of the abnormal equipment. For example, if the linkage process is raw material conveying pump → crusher → mixer, and the abnormal equipment is the crusher, then the affected equipment includes the raw material conveying pump, the crusher, and the mixer.

[0051] Step S105: Determine the anomaly management strategy based on the abnormal information affecting the equipment, the environment, and the equipment.

[0052] Anomaly management strategies include maintenance strategies and post-monitoring strategies. Maintenance strategies are the methods for repairing current anomalies, while post-monitoring strategies are the methods for adjusting subsequent monitoring.

[0053] Specifically, the anomaly management strategy is determined based on the abnormal information affecting the equipment and the environment, as well as the abnormal information of the equipment. This includes: determining the anomaly level and type based on the abnormal information of the environment and the abnormal information of the equipment; determining whether shutdown for maintenance is required based on the anomaly type and the anomaly level; if shutdown for maintenance is required, determining the sequence of coordinated shutdowns based on preset rules and the affected equipment; and determining the maintenance strategy based on the sequence of coordinated shutdowns.

[0054] In this embodiment, the abnormality level and type corresponding to each abnormal device are searched from the environmental abnormality information and equipment abnormality information. The abnormality level and type corresponding to the abnormal device can be the abnormality level and type of the abnormal device's location, or the abnormality level and type of the abnormal device itself. If the abnormality type is a preset abnormality type and / or the abnormality level is a preset abnormality level, then shutdown maintenance is required. The preset rules include the linkage shutdown sequence, that is, the affected devices are shut down for maintenance in the order of abnormal device → preceding device in the linkage process → following device in the linkage process. If shutdown maintenance is required, the maintenance strategy includes shutting down the affected devices according to the linkage shutdown sequence and reminding the corresponding personnel to perform maintenance work. If shutdown maintenance is not required, the maintenance strategy includes reminding the corresponding personnel to perform maintenance work.

[0055] Specifically, anomaly management strategies are determined based on information affecting equipment and the environment, as well as equipment anomaly information. These strategies include: if there is anomaly information regarding dust quantity but no anomaly in the dust concentration data of the environmental monitoring data, then determining the anomaly level based on the dust quantity anomaly information; determining the number of new dust concentration detection devices based on the anomaly level; obtaining workshop equipment information and the current installation location of the dust concentration detection devices; determining candidate installation locations for the dust concentration detection devices based on the workshop equipment information and the current installation location; determining new installation locations based on the candidate installation locations and the number of new devices; and determining subsequent monitoring strategies based on the new installation locations.

[0056] In this embodiment, if there is abnormal dust quantity information and the dust concentration in the environmental monitoring data is not abnormal, it means that the dust quantity in the production workshop exceeds the workshop dust quantity, but the dust concentration detection equipment does not detect the abnormality. At this time, it is necessary to install more dust concentration detection equipment in more locations to detect dust concentration abnormalities more promptly. The abnormality level is searched from the abnormal dust quantity information. The database stores the correspondence between the abnormality level and the number of newly added dust concentration detection equipment. The number of newly added dust concentration detection equipment is matched from the database according to the abnormality level.

[0057] Obtain workshop equipment information and the current installation location of dust concentration detection equipment from staff. The workshop equipment information includes the equipment location and the dust generation level of the equipment. Sort the equipment locations according to the dust generation level from high to low. Determine the equipment locations within a preset range of the current installation location as locations that do not need to be installed. The preset range is, for example, a circle with a preset radius centered on the current installation location. Delete the locations that do not need to be installed from the sorted list. The remaining equipment locations in the sorted list are all candidate installation locations. Select the first number of candidate installation locations in the sorted list as new installation locations. The subsequent monitoring strategy includes installing dust concentration detection equipment at the new installation locations to better monitor the dust concentration in the workshop.

[0058] Figure 2 This is a structural block diagram of a toner production workshop safety management device 200 provided in an embodiment of this application.

[0059] like Figure 2 As shown, the safety management device 200 in the toner production workshop mainly includes: The monitoring data acquisition module 201 is used to acquire environmental monitoring data and equipment monitoring data; The environmental anomaly determination module 202 is used to analyze environmental monitoring data and determine environmental anomaly information; The equipment anomaly determination module 203 is used to analyze equipment monitoring data and determine equipment anomaly information; The affected equipment determination module 204 is used to analyze environmental anomaly information and equipment anomaly information to determine the affected equipment; The management strategy determination module 205 is used to determine the anomaly management strategy based on the abnormal information affecting the equipment and the environment, as well as the abnormal equipment information.

[0060] As an optional implementation of this embodiment, the environmental monitoring data includes dust collection volume and sensor monitoring data. The environmental anomaly determination module 202 is specifically used to analyze the environmental monitoring data and determine environmental anomaly information, including: acquiring production data within a preset time period; determining a dust collection threshold based on the production data; comparing the dust collection volume with the dust collection threshold to determine dust volume anomaly information; analyzing sensor monitoring data to determine sensor anomaly information; and determining environmental anomaly information based on the dust volume anomaly information and the sensor anomaly information.

[0061] As an optional implementation of this embodiment, the environmental anomaly determination module 202 is specifically used to determine the dust collection threshold based on production data, including: acquiring historical production information, which includes historical production data and historical dust generation; analyzing the historical production information to determine production correlations, which are the correlations between historical production data and historical dust generation; determining the theoretical dust collection amount based on the production correlations and production data; acquiring a dust concentration threshold; determining the workshop dust amount based on the dust concentration threshold and workshop area; and determining the dust collection threshold based on the theoretical dust collection amount and workshop dust amount.

[0062] As an optional implementation of this embodiment, the environmental anomaly determination module 202 is specifically used to analyze sensor monitoring data and determine sensor anomaly information, including: comparing sensor monitoring data with a preset threshold to determine first anomaly information; analyzing the changing trend of sensor monitoring data to determine second anomaly information; obtaining associated anomaly judgment rules; determining third anomaly information based on the associated anomaly judgment rules and sensor monitoring data; and determining sensor anomaly information based on the first anomaly information, the second anomaly information, and the third anomaly information.

[0063] As an optional implementation of this embodiment, the affected device determination module 204 is specifically used to analyze environmental anomaly information and equipment anomaly information to determine the affected device, including: determining the abnormal device based on the environmental anomaly information and equipment anomaly information, wherein the abnormal device is the device directly affected by the anomaly; obtaining the linkage process of the device; and determining the affected device based on the linkage process and the abnormal device.

[0064] As an optional implementation of this embodiment, the anomaly management strategy includes a maintenance strategy. The management strategy determination module 205 is specifically used to determine the anomaly management strategy based on the abnormal information of the affected equipment and the environment, as well as the abnormal information of the equipment. This includes: determining the anomaly level and anomaly type based on the abnormal information of the environment and the abnormal information of the equipment; determining whether shutdown maintenance is required based on the anomaly type and the anomaly level; if shutdown maintenance is required, determining the linkage shutdown sequence based on preset rules and the affected equipment; and determining the maintenance strategy based on the linkage shutdown sequence.

[0065] As an optional implementation of this embodiment, the anomaly management strategy includes a post-monitoring strategy. The management strategy determination module 205 is specifically used to determine the anomaly management strategy based on the abnormal information affecting the equipment and the environment, as well as the abnormal information of the equipment. This includes: if there is abnormal information about the amount of dust and there is no abnormality in the dust concentration in the environmental monitoring data, then determining the anomaly level based on the abnormal information about the amount of dust; determining the number of new dust concentration detection devices based on the anomaly level; obtaining workshop equipment information and the current installation location of the dust concentration detection devices; determining candidate installation locations for the dust concentration detection devices based on the workshop equipment information and the current installation location; determining new installation locations based on the candidate installation locations and the number of new devices; and determining the post-monitoring strategy based on the new installation locations.

[0066] In one example, the module in any of the above devices may be one or more integrated circuits configured to implement the above methods, such as one or more application-specific integrated circuits (ASICs), or one or more digital signal processors (DSPs), or one or more field-programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0067] For example, when modules in a device can be implemented via a processing element scheduler, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor capable of calling programs. Alternatively, these modules can be integrated together as a system-on-a-chip (SOC).

[0068] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the above-described device and module can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0069] Figure 3 This is a structural block diagram of an electronic device 300 provided in an embodiment of this application.

[0070] like Figure 3 As shown, the electronic device 300 includes a processor 301 and a memory 302, and may further include one or more of an information input / output (I / O) interface 303, a communication component 304, and a communication bus 305.

[0071] The processor 301 controls the overall operation of the electronic device 300 to complete all or part of the steps of the aforementioned toner production workshop safety management method. The memory 302 stores various types of data to support the operation of the electronic device 300. This data may include, for example, instructions for any application or method operating on the electronic device 300, as well as application-related data. The memory 302 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as one or more of Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0072] I / O interface 303 provides an interface between processor 301 and other interface modules, such as keyboards, mice, and buttons. These buttons can be virtual or physical. Communication component 304 is used for wired or wireless communication between electronic device 300 and other devices. Wireless communication includes Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination thereof. Therefore, the corresponding communication component 304 may include a Wi-Fi component, a Bluetooth component, and an NFC component.

[0073] The electronic device 300 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to execute the toner production workshop safety management method given in the above embodiments.

[0074] The communication bus 305 may include a path for transmitting information between the aforementioned components. The communication bus 305 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 305 may be divided into an address bus, a data bus, a control bus, etc.

[0075] Electronic device 300 may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers, and may also be servers.

[0076] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described toner production workshop safety management method.

[0077] The computer-readable storage medium may include various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0078] The terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0079] The above description is merely a preferred embodiment of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the foregoing application concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions claimed in this application.

Claims

1. A safety management method for a toner production workshop, characterized in that, include: Acquire environmental monitoring data and equipment monitoring data; The environmental monitoring data is analyzed to identify environmental anomalies. The monitoring data of the equipment is analyzed to determine abnormal equipment information; The environmental anomaly information and the equipment anomaly information are analyzed to determine the equipment affecting them; An anomaly management strategy is determined based on the affected equipment, the environmental anomaly information, and the equipment anomaly information.

2. The method according to claim 1, characterized in that, The environmental monitoring data includes dust collection volume and sensor monitoring data. The analysis of the environmental monitoring data to determine abnormal environmental information includes: Obtain production data within a preset time period; The dust collection threshold is determined based on the production data; The dust collection amount is compared with the dust collection threshold to determine abnormal dust collection information; The sensor monitoring data is analyzed to determine sensor anomaly information; The environmental anomaly information is determined based on the powder quantity anomaly information and the sensor anomaly information.

3. The method according to claim 2, characterized in that, Determining the dust collection threshold based on the production data includes: Acquire historical production information, which includes historical production data and historical dust generation. The historical production information is analyzed to determine the production correlation, which is the relationship between the historical production data and the historical dust generation. The theoretical dust collection volume is determined based on the aforementioned production correlation and the aforementioned production data; Obtain the dust concentration threshold; The amount of dust in the workshop is determined based on the dust concentration threshold and the workshop area. The dust collection threshold is determined based on the theoretical dust collection amount and the amount of dust in the workshop.

4. The method according to claim 2, characterized in that, The step of analyzing the sensor monitoring data to determine sensor anomaly information includes: The sensor monitoring data is compared with a preset threshold to determine the first abnormal information; Analyze the changing trends of the sensor monitoring data to determine the second anomaly information; Obtain the rules for determining related anomalies; The third anomaly information is determined based on the aforementioned correlation anomaly judgment rules and the sensor monitoring data; The sensor anomaly information is determined based on the first anomaly information, the second anomaly information, and the third anomaly information.

5. The method according to claim 1, characterized in that, The analysis of the environmental anomaly information and the equipment anomaly information to determine the equipment affected includes: Based on the environmental anomaly information and the equipment anomaly information, an abnormal device is identified, which is the device directly affected by the anomaly. Obtain the linkage process of the equipment; The affected equipment is determined based on the aforementioned linkage process and the malfunctioning equipment.

6. The method according to claim 5, characterized in that, The anomaly management strategy includes a maintenance strategy. Determining the anomaly management strategy based on the affected equipment, the environmental anomaly information, and the equipment anomaly information includes: The anomaly level and anomaly type are determined based on the environmental anomaly information and the equipment anomaly information; Determine whether shutdown for maintenance is required based on the type and level of the anomaly. If maintenance is required, the sequence of coordinated shutdowns will be determined based on preset rules and the affected equipment. The maintenance strategy is determined based on the aforementioned coordinated shutdown sequence.

7. The method according to claim 2, characterized in that, The anomaly management strategy includes a post-monitoring strategy. Determining the anomaly management strategy based on the affected device, the environmental anomaly information, and the device anomaly information includes: If the dust quantity abnormality information exists and the dust concentration in the environmental monitoring data is not abnormal, then the abnormality level is determined based on the dust quantity abnormality information. The number of new dust concentration detection devices will be determined based on the aforementioned anomaly level. Obtain workshop equipment information and the current installation location of the dust concentration detection equipment; Based on the workshop equipment information and the current installation location, a candidate installation location for the dust concentration detection equipment is determined. The new installation location is determined based on the candidate installation locations and the number of new locations; The post-installation monitoring strategy is determined based on the newly added installation location.

8. A safety management device for a toner production workshop, characterized in that, include: The monitoring data acquisition module is used to acquire environmental monitoring data and equipment monitoring data; An environmental anomaly determination module is used to analyze the environmental monitoring data and determine environmental anomaly information; The equipment anomaly determination module is used to analyze the equipment monitoring data and determine equipment anomaly information; The affected equipment determination module is used to analyze the environmental anomaly information and the equipment anomaly information to determine the affected equipment; The management strategy determination module is used to determine anomaly management strategies based on the affected devices, the environmental anomaly information, and the device anomaly information.

9. An electronic device, characterized in that, Includes a processor, which is coupled to a memory; The processor is configured to execute a computer program stored in the memory to cause the electronic device to perform the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, It includes a computer program or instructions that, when run on a computer, cause the computer to perform the method as described in any one of claims 1 to 7.

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