A chemical equipment management method, device and medium for safe production

Abstract

The embodiment of the specification discloses a chemical equipment management method, equipment and medium for safety production, relates to the technical field of Internet of Things equipment, and the method comprises the following steps: collecting real-time equipment data of each chemical equipment; the equipment environment data comprises real-time physical environment data and real-time chemical data; obtaining a current equipment data model corresponding to the pre-set chemical equipment; determining dynamic chemical data by using the current equipment data model, real-time running data of the equipment and the real-time physical environment data; classifying the real-time equipment data to obtain safety production real-time equipment data; comparing the production real-time equipment data with the dynamic chemical data and pre-set monitoring attribute data corresponding to safety production to obtain a monitoring result of the production real-time equipment data; and generating a visual maintenance process according to the monitoring result, and managing the chemical equipment through the visual maintenance process, wherein the visual maintenance process comprises a plurality of operation and maintenance steps.

Description

Technical Field

[0001] This specification relates to the field of Internet of Things (IoT) device technology, and in particular to a method, equipment, and medium for managing chemical equipment for safe production. Background Technology

[0002] Equipment operation within chemical industrial parks often involves high pressure, high temperature, and violent chemical reactions, placing extremely high demands on the equipment itself. Equipment failures can easily lead to severe accidents within chemical industrial parks, including deflagrations and explosions, posing serious safety hazards. The pressure, temperature, and hazardous gas concentrations of these chemical equipment during operation are monitored and detected, and displayed through appropriate display devices.

[0003] In large-scale chemical industrial parks, the sheer number of industrial equipment and the production of mostly hazardous chemicals place high demands on equipment maintenance, upgrades, and standardized production. Currently, many chemical industrial parks face challenges in safe production due to discrepancies in standard data for different types of chemical equipment. Even within the same type of equipment, variations in chemical reactions under different pressures and temperatures lead to differences in gas content and other chemical factors. Existing technologies for managing and monitoring chemical equipment do not consider the impact of environmental factors on equipment operation, hindering effective management within the chemical industrial park and consequently affecting the overall safety, efficiency, and quality of production. Summary of the Invention

[0004] This specification provides one or more embodiments of a chemical equipment management method, equipment, and medium for safe production, which addresses the following technical problem: In the prior art, the management and monitoring of chemical equipment does not consider the impact of environmental factors on equipment operation, making it impossible to effectively manage equipment within chemical industrial parks, thereby affecting the overall safety production efficiency and quality of the park.

[0005] One or more embodiments of this specification employ the following technical solutions:

[0006] This specification provides one or more embodiments of a chemical equipment management method for safe production, characterized in that it is applied to a chemical equipment management system, the system including a data acquisition and storage module, an equipment monitoring module, a data processing module, and a visualization process configuration module, and the method includes:

[0007] The data acquisition and storage module collects real-time equipment data for each chemical equipment, including real-time equipment operation data and real-time environmental data, which in turn includes real-time physical environment data and real-time chemical data. The equipment monitoring module obtains a pre-set current equipment data model corresponding to the chemical equipment, and uses this model, the real-time equipment operation data, and the real-time physical environment data to determine the dynamic chemical data corresponding to the chemical equipment. The data processing module categorizes the real-time equipment data to obtain safety-related real-time equipment data. This safety-related real-time equipment data is then compared with the dynamic chemical data and pre-set safety-related monitoring attribute data to obtain the monitoring results. Finally, the visualization process configuration module generates a visualization maintenance process for the current chemical equipment based on the monitoring results. This visualization maintenance process, which includes multiple operation and maintenance steps, is used to manage the chemical equipment.

[0008] Furthermore, after collecting real-time equipment data for each chemical device, the method further includes: acquiring multiple historical equipment data for each chemical device corresponding to the real-time equipment data, wherein the historical equipment data includes historical equipment operation data and historical equipment environment data; writing the real-time equipment data and the historical equipment data into the blockchain in real time through a designated interface; establishing a correspondence between the chemical device and the designated node of the blockchain based on the real-time equipment data, the historical equipment data, and the designated node of the blockchain, wherein the correspondence is used to represent the correspondence between multiple equipment data of the chemical device and data storage nodes.

[0009] Furthermore, before obtaining the pre-set current equipment data model corresponding to the chemical equipment, the method further includes: determining the designated blockchain node storing the equipment data of the chemical equipment through the chemical equipment and the correspondence, so as to obtain the historical equipment data corresponding to the chemical equipment through the designated blockchain node; performing data modeling on the operation process of the chemical equipment based on the historical equipment data of the chemical equipment to obtain the current equipment data model corresponding to the chemical equipment, wherein the current equipment data model is used to simulate the operation status of the chemical equipment and simulate the impact of the physical environment data of the chemical equipment on the chemical environment data.

[0010] Furthermore, by using the current equipment data model, the real-time operating data of the equipment, and the real-time physical environment data, the dynamic chemical data corresponding to the chemical equipment is determined. Specifically, this includes using the real-time operating data of the equipment and the real-time physical environment data as operating parameters of the current equipment data model, and using the current equipment data model to determine the dynamic chemical data corresponding to the real-time physical environment data.

[0011] Furthermore, the real-time equipment data is classified to obtain real-time equipment data related to safety production, specifically including: classifying the real-time equipment data to obtain real-time equipment data related to safety production and non-production data.

[0012] For the real-time equipment data related to safety production and the non-production data, a first data processing level and a second data processing level are set respectively, wherein the first data processing level is higher than the second data processing level; the real-time equipment data related to safety production in the first data processing level are sorted from largest to smallest according to the preset attribute weight of chemical equipment, to obtain the processing order of the real-time equipment data related to safety production in the first data processing level, wherein the larger the attribute weight of chemical equipment, the greater the influence of the attribute on safety production.

[0013] Further, the real-time production equipment data is compared with the dynamic chemical data and the pre-set monitoring attribute data corresponding to safe production to obtain the monitoring results of the real-time production equipment data. Specifically, this includes: acquiring the monitoring attribute data corresponding to safe production, wherein the monitoring attribute data is the attribute data corresponding to the chemical equipment during safe production, including attribute values ​​under multiple attributes; determining the data attributes of each real-time equipment data in the production equipment data according to the processing order of the real-time safety production equipment data, wherein the data attributes include physical environment attributes and chemical environment attributes, the physical environment attributes including multiple physical sub-attributes, and the chemical environment attributes including multiple chemical sub-attributes; when the data attribute of the first real-time equipment data in the real-time safety production equipment data is a physical environment attribute, determining the first attribute data that meets the requirements in the monitoring attribute data, and setting the first real-time equipment data... A first comparison result is obtained by comparing the data with the first attribute data, wherein the data attribute of the first attribute data is the same as the physical sub-attribute of the first real-time equipment data, and the first comparison result includes the presence or absence of abnormal data items; when the data attribute of the second real-time equipment data in the safety production category is a chemical environment attribute, the second attribute data that meets the requirements is determined in the dynamic chemical data, and the second real-time equipment data is compared with the second attribute data to obtain a second comparison result, wherein the data attribute of the second attribute data is the same as the chemical sub-attribute of the second real-time equipment data, and the second comparison result includes the presence or absence of abnormal data items; based on the first comparison result and the second comparison result, the monitoring result of the safety production category real-time equipment data is obtained, wherein the monitoring result includes any one of normal operating status and abnormal operating status.

[0014] Furthermore, the visualization process configuration module generates a visualization maintenance process for the current chemical equipment based on the monitoring results. Specifically, this includes: acquiring real-time equipment data corresponding to the monitoring results issued by the blockchain through the monitoring data reading unit of the visualization process configuration module; configuring the real-time equipment data into the corresponding process model through the process model configuration unit of the visualization process configuration module to generate operation and maintenance steps corresponding to the current chemical equipment; and executing relevant business logic on the operation and maintenance steps through the process execution unit of the visualization process configuration module to implement the operation and maintenance steps.

[0015] Furthermore, the chemical equipment is managed through the visual maintenance process, specifically including: when the monitoring result indicates an abnormal operating state, an early warning is issued through the monitoring and early warning module.

[0016] This specification provides one or more embodiments of a chemical equipment management device for safe production, comprising:

[0017] At least one processor; and,

[0018] A memory communicatively connected to the at least one processor; wherein,

[0019] The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enable the at least one processor to:

[0020] The data acquisition and storage module collects real-time equipment data for each chemical equipment, including real-time equipment operation data and real-time environmental data, which includes real-time physical environment data and real-time chemical data. The equipment monitoring module obtains a pre-set current equipment data model corresponding to the chemical equipment, and uses this model, the real-time equipment operation data, and the real-time physical environment data to determine the dynamic chemical data corresponding to the chemical equipment. The data processing module categorizes the real-time equipment data to obtain safety-related real-time equipment data. This safety-related real-time equipment data is compared with the dynamic chemical data and pre-set safety-related monitoring attribute data to obtain the monitoring results. The visualization process configuration module generates a visualization maintenance process for the current chemical equipment based on the monitoring results. This visualization maintenance process, which includes multiple operation and maintenance steps, is used to manage the chemical equipment.

[0021] This specification provides one or more embodiments of a non-volatile computer storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured as follows:

[0022] The data acquisition and storage module collects real-time equipment data for each chemical equipment, including real-time equipment operation data and real-time environmental data, which in turn includes real-time physical environment data and real-time chemical data. The equipment monitoring module obtains a pre-set current equipment data model corresponding to the chemical equipment, and uses this model, the real-time equipment operation data, and the real-time physical environment data to determine the dynamic chemical data corresponding to the chemical equipment. The data processing module categorizes the real-time equipment data to obtain safety-related real-time equipment data. This safety-related real-time equipment data is then compared with the dynamic chemical data and pre-set safety-related monitoring attribute data to obtain the monitoring results. Finally, the visualization process configuration module generates a visualization maintenance process for the current chemical equipment based on the monitoring results. This visualization maintenance process, which includes multiple operation and maintenance steps, is used to manage the chemical equipment.

[0023] The above-mentioned at least one technical solution adopted in the embodiments of this specification can achieve the following beneficial effects: Through the above technical solutions, by using real-time operating data and real-time physical environment data as operating parameters of the data model, the operation of chemical equipment can be accurately simulated, taking into account the influence of physical environment factors on chemical reactions, and ensuring the accuracy of dynamic chemical data; real-time equipment data is classified to obtain real-time equipment data for safety production, avoiding the problem of too much equipment data in the park and the inability to obtain data monitoring results related to safety production in a timely manner, and ensuring the timeliness of data processing of key data in the chemical park; safety production data is compared with dynamic chemical data and monitoring attribute data, ensuring the accuracy and rigor of the comparison results; through the described visual maintenance process, the chemical equipment is managed, adopting a visual development method, what you see is what you get, using configurable operation methods, and data operation and production supervision for different scenarios can be customized for different scenario needs, improving the efficiency and quality of daily chemical production, and enabling the integrated, standardized and regulated production management of the chemical park. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments or prior art of this specification, the drawings used in the description of the embodiments or prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings:

[0025] Figure 1A flowchart illustrating a method for managing chemical equipment for safe production, provided as an embodiment of this specification;

[0026] Figure 2 This is a structural schematic diagram of a chemical equipment management device for safe production, provided as an embodiment of this specification. Detailed Implementation

[0027] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0028] Equipment operation within chemical industrial parks often involves high pressure, high temperature, and violent chemical reactions, placing extremely high demands on the equipment itself. Equipment failures can easily lead to severe accidents within chemical industrial parks, including deflagrations and explosions, posing serious safety hazards. The pressure, temperature, and hazardous gas concentrations of these chemical equipment during operation are monitored and detected, and displayed through appropriate display devices.

[0029] In large-scale chemical industrial parks, the sheer number of industrial equipment and the production of mostly hazardous chemicals place high demands on equipment maintenance, upgrades, and standardized production. Currently, many chemical industrial parks face challenges in safe production due to discrepancies in standard data for different types of chemical equipment. Even within the same type of equipment, variations in chemical reactions under different pressures and temperatures lead to differences in gas content and other chemical factors. Existing technologies for managing and monitoring chemical equipment do not consider the impact of environmental factors on equipment operation, hindering effective management within the chemical industrial park and consequently affecting the overall safety, efficiency, and quality of production.

[0030] This specification provides a method for managing chemical equipment for safe production. It should be noted that the executing entity in this specification can be a server or any device with data processing capabilities. This specification applies to a chemical equipment management system, which includes a data acquisition and storage module, an equipment monitoring module, a data processing module, a visual process configuration module, and a monitoring and early warning module.

[0031] In one embodiment of this specification, the data acquisition and storage module can also be referred to as the IoT device data collection and storage module. It is used to collect data from different IoT industrial devices and sensor devices, and uses a blockchain approach to write the data into the blockchain in real time through an interface to store the data, preventing sensitive data from being tampered with, thus achieving secure data storage, realizing real-time data acquisition and uploading, and establishing a correspondence between the acquired data model and the blockchain data storage.

[0032] In one embodiment of this specification, the equipment monitoring module can also be called the key industrial equipment monitoring module of the park. It relies on the sensor module of the physical environment monitoring system in the Internet of Things and related industrial equipment. It mainly classifies and focuses on monitoring data generated by physical environmental factors (such as temperature, humidity, pressure, etc.) and chemical monitoring unit factors (such as irritants and toxins in the chemical industry that often cause respiratory damage, and in severe cases can cause pulmonary edema, such as cyanide, arsenic, hydrogen sulfide, etc.). It sets relevant parameters and business data for data comparison to establish a model of data monitoring unit and real-time data. It also needs to set dynamic data monitoring attributes and safety production-related data thresholds. All of these need to be processed in the key industrial equipment monitoring module.

[0033] In one embodiment of this specification, the integrated data processing module collects and processes data from the aforementioned key industrial equipment and other daily production data within the chemical industrial park. The integrated data processing center and blockchain data are linked by business attributes, and processing levels for relevant data are set. Data related to safety production is prioritized, while data from non-industrial equipment within the park is centrally reported and distributed. This allows personnel with different permissions to configure different data viewing and monitoring needs.

[0034] In one embodiment of this specification, the visual process configuration module includes a monitoring data reading unit, a process model configuration unit, a security data verification unit, and a related process execution unit. The monitoring data reading unit is used to read or import real-time monitoring data issued by the blockchain. The process model configuration unit is used to configure the read industrial equipment data into the corresponding process model. The security data verification unit performs security rule filtering on the collected data to enhance the data security of critical modules. The related process execution unit performs execution operations on the dynamically configured process, executing related business logic after verifying the data specifications and rules of the configured process.

[0035] In one embodiment of this specification, the monitoring and early warning module manages and reviews the generated and executed process data in a comprehensive data module, and then provides real-time early warnings for relevant processes and rules. This reduces the investment of manpower, allows for data supervision by setting the operation permissions of relevant personnel, and enables the monitoring of operation and maintenance data of the deployed module, making it convenient for relevant personnel to monitor the production status of the park.

[0036] Figure 1 A flowchart illustrating a method for managing chemical equipment for safe production, as provided in the embodiments of this specification, is shown below. Figure 1 As shown, the main steps include the following:

[0037] Step S101: Collect real-time equipment data for each chemical equipment through the data acquisition and storage module.

[0038] In one embodiment of this specification, a data acquisition and storage module acquires real-time equipment data for each chemical equipment. This real-time equipment data includes real-time equipment operation data and real-time equipment environmental data. The equipment environmental data includes real-time physical environment data and real-time chemical data. The real-time equipment operation data represents the operating status of the chemical equipment, while the equipment environmental data represents the environmental data of the environment in which the chemical equipment is located. Physical environment data, such as temperature, humidity, and pressure, can be acquired through corresponding IoT devices. Chemical environment data, such as irritating gases in the chemical industry like cyanide, arsenic, and hydrogen sulfide, can also be acquired through corresponding IoT devices.

[0039] It should be noted that, since there are a large number of chemical equipment in the industrial park, information collection labels can be set to distinguish the equipment data corresponding to different chemical equipment during data collection. The information collection labels include the name of the key industrial equipment, the relevant type of equipment, the basic attributes of the collected data, the physical environment requirements of the sensor, and the life cycle data of the industrial equipment.

[0040] After collecting real-time equipment data for each chemical device, the method further includes: acquiring multiple historical equipment data for each chemical device corresponding to the real-time equipment data, wherein the historical equipment data includes historical equipment operation data and historical equipment environment data; writing the real-time equipment data and the historical equipment data into the blockchain in real time through a specified interface; and establishing a correspondence between the chemical device and the specified nodes of the blockchain based on the real-time equipment data, the historical equipment data, and the specified nodes of the blockchain, wherein the correspondence is used to represent the correspondence between multiple equipment data of the chemical device and data storage nodes.

[0041] In one embodiment of this specification, the chemical equipment corresponding to the real-time equipment data is determined based on the information collection identifier corresponding to the real-time equipment data, and multiple historical equipment data for each chemical equipment are obtained. The historical equipment data includes historical equipment operation data and historical equipment environmental data. The real-time equipment data and historical equipment data are written to the blockchain in real-time through a designated interface to prevent sensitive data from being tampered with, thus achieving secure data storage. A correspondence between the chemical equipment and the designated blockchain nodes is established based on the real-time equipment data, historical equipment data, and designated nodes in the blockchain. This correspondence represents the relationship between multiple pieces of equipment data for the chemical equipment and the data storage nodes. This correspondence can be established using the equipment identifier of the chemical equipment.

[0042] Step S102: The equipment monitoring module obtains the current equipment data model corresponding to the pre-set chemical equipment, and determines the dynamic chemical data corresponding to the chemical equipment by using the current equipment data model, real-time equipment operation data and real-time physical environment data.

[0043] Before obtaining the pre-set current equipment data model corresponding to the chemical equipment, the method further includes: determining the designated blockchain node storing the equipment data of the chemical equipment through the chemical equipment and the correspondence, so as to obtain the historical equipment data corresponding to the chemical equipment through the designated blockchain node; and performing data modeling on the operation process of the chemical equipment based on the historical equipment data to obtain the current equipment data model corresponding to the chemical equipment, wherein the current equipment data model is used to simulate the operation status of the chemical equipment and simulate the impact of the physical environment data of the chemical equipment on the chemical environment data.

[0044] In one embodiment of this specification, the designated blockchain node storing the equipment data of the chemical equipment is determined by the correspondence between the chemical equipment and a designated blockchain node. This allows the acquisition of historical equipment data corresponding to the chemical equipment through the designated blockchain node. Using the historical equipment data, a data model of the chemical equipment's operation process is performed to obtain the current equipment data model corresponding to the chemical equipment. It should be noted that the current equipment data model is used to simulate the current operating status of the chemical equipment and to simulate the impact of the physical environment data of the chemical equipment on the chemical environment data.

[0045] By using the current equipment data model, the real-time operating data of the equipment, and the real-time physical environment data, the dynamic chemical data corresponding to the chemical equipment is determined. Specifically, this includes using the real-time operating data of the equipment and the real-time physical environment data as operating parameters of the current equipment data model, and using the current equipment data model to determine the dynamic chemical data corresponding to the real-time physical environment data.

[0046] In one embodiment of this specification, since the standard data corresponding to different types of chemical equipment may differ, even for the same type of chemical equipment, the chemical reactions of chemical components may vary under different pressures and temperatures, resulting in different chemical factors such as gas content. Based on the real-time operating data of the equipment and real-time physical environment data, which serve as the operating conditions of the current chemical equipment under the current physical environment conditions, the real-time operating data and real-time physical environment data are used as the operating parameters of the current equipment data model. The current equipment data model simulates the impact of real-time physical environment data on chemical data under the current operating parameters, and obtains the dynamic chemical data corresponding to the real-time physical environment data through the current equipment data model.

[0047] By using the above technical solution, real-time operating data and real-time physical environment data as operating parameters of the data model, the operation of chemical equipment can be accurately simulated. The influence of physical environment factors on chemical reactions is taken into account, ensuring the accuracy of dynamic chemical data.

[0048] Step S103: The real-time equipment data is classified by the data processing module to obtain real-time equipment data related to safety production.

[0049] The real-time equipment data is categorized to obtain safety-related real-time equipment data. Specifically, this includes: categorizing the real-time equipment data into safety-related and non-production-related data; setting a first data processing level and a second data processing level for the safety-related and non-production-related data, respectively, with the first data processing level being higher than the second; and sorting the safety-related real-time equipment data in the first data processing level according to the preset attribute weights of the chemical equipment, from largest to smallest, to obtain the processing order of the safety-related real-time equipment data in the first data processing level, where a higher attribute weight indicates a greater impact of that attribute on safety production.

[0050] In one embodiment of this specification, the chemical equipment generates a large amount of data. Processing all data simultaneously would easily increase the server load. To ensure the real-time nature of the equipment data and obtain accurate equipment monitoring results promptly, a data processing module categorizes the real-time equipment data into safety-related real-time equipment data and non-production-related data. It should be noted that safety-related real-time equipment data refers to data closely related to safety production and whose data attributes can be pre-set. Non-production-related data refers to data with low real-time requirements, such as equipment maintenance cycles. A first data processing level is set for safety-related real-time equipment data, and a second data processing level is set for non-production-related data. The first data processing level is higher than the second data processing level. During data processing, data at the first data processing level is processed first, followed by data at the second data processing level.

[0051] Furthermore, since there are multiple types of real-time safety production equipment data corresponding to the same chemical equipment, and the data volume is still large, the real-time safety production equipment data belonging to the first data processing level can be reclassified. For each attribute, attribute weights can be assigned based on the degree of impact of that attribute on safety production. For example, if the temperature attribute of equipment A has a significant impact on safety production, its attribute weight can be set to 0.8; if the humidity attribute has a smaller impact, its attribute weight can be set to 0.01. The chemical equipment is then sorted from largest to smallest according to its attribute weight to obtain the processing order of the real-time safety production equipment data in the first data processing level. The higher the attribute weight of a chemical equipment, the greater its impact on safety production. Within the chemical industrial park, there are numerous chemical equipment; therefore, key chemical equipment can be marked, and the real-time equipment data corresponding to key chemical equipment will be processed first during data processing.

[0052] Step S104: Compare the real-time production equipment data with dynamic chemical data and pre-set monitoring attribute data corresponding to safe production to obtain the monitoring results of the real-time production equipment data.

[0053] The real-time equipment data for production is compared with the dynamic chemical data and pre-set monitoring attribute data corresponding to safe production to obtain the monitoring results of the real-time equipment data for production. Specifically, this includes: acquiring the monitoring attribute data corresponding to safe production, wherein the monitoring attribute data is the attribute data corresponding to the chemical equipment during safe production, including attribute values ​​under multiple attributes; determining the data attributes of each real-time equipment data in the real-time equipment data for production according to the processing order of the real-time equipment data for safe production, wherein the data attributes include physical environment attributes and chemical environment attributes, the physical environment attributes include multiple physical sub-attributes, and the chemical environment attributes include multiple chemical sub-attributes; when the data attribute of the first real-time equipment data in the real-time equipment data for safe production is a physical environment attribute, determining the first attribute data that meets the requirements in the monitoring attribute data, and then processing the first real-time equipment data... A first comparison result is obtained by comparing the data with the first attribute data, wherein the data attribute of the first attribute data is the same as the physical sub-attribute of the first real-time equipment data, and the first comparison result includes the presence or absence of abnormal data items; when the data attribute of the second real-time equipment data in the safety production category is a chemical environment attribute, the second attribute data that meets the requirements is determined in the dynamic chemical data, and the second real-time equipment data is compared with the second attribute data to obtain a second comparison result, wherein the data attribute of the second attribute data is the same as the chemical sub-attribute of the second real-time equipment data, and the second comparison result includes the presence or absence of abnormal data items; based on the first comparison result and the second comparison result, the monitoring result of the production category real-time equipment data is obtained, wherein the monitoring result includes either normal operating status or abnormal operating status.

[0054] In one embodiment of this specification, monitoring attribute data corresponding to safe production is obtained. It should be noted that the monitoring attribute data is the attribute data corresponding to the chemical equipment during safe production, that is, the attribute data corresponding to the situation of ensuring safe production. The attribute data can be a data threshold or a numerical range. The attribute includes attribute values ​​under multiple attributes.

[0055] According to the processing order of real-time equipment data in the category of safety production, the data attributes of each real-time equipment data in the category of safety production are determined in sequence. Among them, the data attributes include physical environment attributes and chemical environment attributes. The physical environment attributes include multiple physical sub-attributes, such as temperature, humidity, and pressure; the chemical environment attributes include multiple chemical sub-attributes, such as cyanide content and hydrogen sulfide content.

[0056] When the data attribute of the first real-time equipment data in the real-time equipment data of safety production is a physical environment attribute, the first real-time equipment data is compared with the corresponding data in the monitoring attribute data. A first attribute data with the same physical sub-attribute as the first real-time equipment data can be identified in the monitoring attribute data. The first real-time equipment data is then compared with this first attribute data to obtain a first comparison result, which includes whether there are abnormal data items or not.

[0057] If the first attribute data is a numerical range, when the first real-time device data is within the numerical range corresponding to the first attribute data, it is determined that there is no abnormal data item. When the first real-time device data is not within the numerical range corresponding to the first attribute data, it is determined that there is an abnormal data item, and the first real-time device data is an abnormal data item.

[0058] If the first attribute data is a numerical value, when the difference between the first real-time device data and the corresponding numerical value of the first attribute data is less than a preset threshold, it is determined that there is no abnormal data item; when the difference between the first real-time device data and the corresponding numerical value of the first attribute data is not less than the preset threshold, it is determined that there is an abnormal data item, and the first real-time device data is the abnormal data item.

[0059] In one embodiment of this specification, when the data attribute of the second real-time equipment data in the production-type real-time equipment data is a chemical environment attribute, the second real-time equipment data is compared with the corresponding data in the dynamic chemical data. A second attribute data with the same chemical sub-attribute as the second real-time equipment data can be identified in the dynamic chemical data. The second real-time equipment data and the second attribute data are then compared to obtain a second comparison result, which includes whether there are abnormal data items or not.

[0060] If the second attribute data is a numerical range, when the second real-time device data is within the numerical range corresponding to the second attribute data, it is determined that there is no abnormal data item. When the second real-time device data is not within the numerical range corresponding to the second attribute data, it is determined that there is an abnormal data item, and the first real-time device data is the abnormal data item.

[0061] If the second attribute data is a numerical value, when the difference between the second real-time device data and the corresponding numerical value of the second attribute data is less than a preset threshold, it is determined that there is no abnormal data item; when the difference between the second real-time device data and the corresponding numerical value of the second attribute data is not less than the preset threshold, it is determined that there is an abnormal data item, and the second real-time device data is an abnormal data item.

[0062] In one embodiment of this specification, monitoring results of real-time production equipment data are obtained based on a first comparison result and a second comparison result. The monitoring results include either a normal operating state or an abnormal operating state. When neither the first nor the second comparison result contains any abnormal data items, the monitoring results of the real-time production equipment data indicate a normal operating state. When either the first or the second comparison result contains an abnormal data item, the monitoring results of the real-time production equipment data indicate an abnormal operating state.

[0063] Step S105: Based on the monitoring results, the visualization process configuration module generates a visualization maintenance process for the current chemical equipment, and the equipment is managed through the visualization maintenance process.

[0064] Based on the monitoring results, the visualization process configuration module generates a visualization maintenance process for the current chemical equipment. Specifically, this includes: obtaining real-time equipment data corresponding to the monitoring results issued by the blockchain through the monitoring data reading unit of the visualization process configuration module; configuring the real-time equipment data into the corresponding process model through the process model configuration unit of the visualization process configuration module to generate the operation and maintenance steps corresponding to the current chemical equipment; and executing the relevant business logic for the operation and maintenance steps through the process execution unit of the visualization process configuration module to realize the operation and maintenance steps.

[0065] In one embodiment of this specification, the visual process configuration module includes a monitoring data reading unit, a process model configuration unit, a security data verification unit, and a related process execution unit. The monitoring data reading unit reads or imports real-time monitoring data (i.e., real-time device data) issued by the blockchain. The process model configuration unit configures the read real-time device data into the corresponding process model. The security data verification unit filters the collected data according to security rules to enhance the data security of critical modules. The related process execution unit executes the dynamically configured process, performing data standardization and rule verification on the configured process before executing the relevant business logic. Through the process execution unit of this visual process configuration module, the relevant business logic is executed for the operation and maintenance steps, thus realizing the corresponding operation and maintenance steps.

[0066] This visualized maintenance process enables equipment management of the chemical equipment, specifically including: when the monitoring result indicates an abnormal operating state, issuing an early warning through the monitoring and early warning module.

[0067] In one embodiment of this specification, the monitoring and early warning module comprehensively manages and reviews the generated and executed data, and provides real-time early warning processing for the visualization process corresponding to the monitoring results. This reduces the relevant manpower input, allows for data supervision by setting the operation permissions of relevant personnel, enables operation and maintenance data monitoring, and facilitates relevant personnel to monitor the production status of the park.

[0068] Leveraging the technological characteristics of the Internet of Things (IoT) and blockchain, automated configuration and production monitoring management can be achieved for chemical production parks of different sizes, improving the efficiency and quality of daily chemical production. This enables integrated, standardized, and regulated production management in chemical parks. A visual development approach provides a WYSIWYG experience, with configurable workflows and customizable data operations and production supervision for different scenarios. It supports integrated management and deployment operations for chemical parks, enabling visualized monitoring of key industrial equipment, reducing maintenance costs, saving production costs, and ensuring safe chemical production.

[0069] By employing the aforementioned technical solutions and using real-time operational data and real-time physical environment data as operating parameters for the data model, the operation of chemical equipment can be accurately simulated. The impact of physical environmental factors on chemical reactions is considered, ensuring the accuracy of dynamic chemical data. Real-time equipment data is categorized to obtain safety-related real-time equipment data, avoiding the problem of excessive data volume within the park leading to delays in obtaining safety-related monitoring results, thus ensuring the timeliness of data processing for key data within the chemical industrial park. Comparison of safety-related data with dynamic chemical data and monitoring attribute data ensures the accuracy and rigor of the comparison results. Through the described visual maintenance process, the chemical equipment is managed using a visual development approach, providing a WYSIWYG experience. The process allows for configurable operation methods and customization of data operation and production supervision for different scenarios, improving the efficiency and quality of daily chemical production and enabling integrated, standardized, and regulated production management within the chemical industrial park.

[0070] This specification also provides an embodiment of a chemical equipment management device for safe production, such as... Figure 2 As shown, the device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to:

[0071] The data acquisition and storage module collects real-time equipment data for each chemical equipment, including real-time operational data and real-time environmental data, which includes real-time physical environment data and real-time chemical data. The equipment monitoring module obtains a pre-set current equipment data model corresponding to the chemical equipment, and uses this model, the real-time operational data, and the real-time physical environment data to determine the dynamic chemical data for that equipment. The data processing module categorizes the real-time equipment data to obtain safety-related real-time equipment data. This safety-related real-time equipment data is then compared with the dynamic chemical data and pre-set safety-related monitoring attribute data to obtain the monitoring results. Finally, the visualization process configuration module generates a visualization maintenance process for the current chemical equipment based on the monitoring results. This visualization maintenance process, which includes multiple operation and maintenance steps, is used for equipment management.

[0072] This specification also provides a non-volatile computer storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured as follows:

[0073] The data acquisition and storage module collects real-time equipment data for each chemical equipment, including real-time operational data and real-time environmental data, which includes real-time physical environment data and real-time chemical data. The equipment monitoring module obtains a pre-set current equipment data model corresponding to the chemical equipment, and uses this model, the real-time operational data, and the real-time physical environment data to determine the dynamic chemical data for that equipment. The data processing module categorizes the real-time equipment data to obtain safety-related real-time equipment data. This safety-related real-time equipment data is then compared with the dynamic chemical data and pre-set safety-related monitoring attribute data to obtain the monitoring results. Finally, the visualization process configuration module generates a visualization maintenance process for the current chemical equipment based on the monitoring results. This visualization maintenance process, which includes multiple operation and maintenance steps, is used for equipment management.

[0074] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0075] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0076] The devices, media, and methods provided in the embodiments of this specification are one-to-one correspondences. Therefore, the devices and media also have similar beneficial technical effects as their corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0077] Those skilled in the art will understand that embodiments of this specification can be provided as methods, systems, or computer program products. Therefore, this specification may take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this specification may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0078] This specification is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this specification. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0079] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0080] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0081] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0082] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0083] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0084] It should also be noted that 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 a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0085] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A method for managing chemical equipment for safe production, characterized in that, An application in a chemical equipment management system, the system comprising a data acquisition and storage module, an equipment monitoring module, a data processing module, and a visualization process configuration module, the method comprising: The data acquisition and storage module collects real-time equipment data for each chemical equipment. The real-time equipment data includes real-time equipment operation data and real-time equipment environmental data. The equipment environmental data includes real-time physical environment data and real-time chemical data. The equipment monitoring module obtains the current equipment data model corresponding to the pre-set chemical equipment, and determines the dynamic chemical data corresponding to the chemical equipment through the current equipment data model, the real-time operating data of the equipment, and the real-time physical environment data. The current equipment data model is used to simulate the operating status of the chemical equipment and the impact of the physical environment data of the chemical equipment on the chemical environment data. The data processing module categorizes the real-time equipment data to obtain real-time equipment data related to safety production. The monitoring results of the real-time production equipment data are obtained by comparing the real-time production equipment data with the dynamic chemical data and the pre-set monitoring attribute data corresponding to safe production. The visualization process configuration module generates a visualization maintenance process for the current chemical equipment based on the monitoring results. The visualization maintenance process is used to manage the chemical equipment and includes multiple operation and maintenance steps.

2. The method for managing chemical equipment for safe production according to claim 1, characterized in that, After collecting real-time equipment data for each chemical plant, the method further includes: Obtain multiple historical equipment data for each chemical equipment corresponding to the real-time equipment data, wherein the historical equipment data includes historical equipment operation data and historical equipment environmental data; The real-time device data and the historical device data are written to the blockchain in real time through a specified interface; Based on the real-time device data, the historical device data, and the designated nodes of the blockchain, a correspondence is established between the chemical equipment and the designated nodes of the blockchain, wherein the correspondence is used to represent the correspondence between multiple device data of the chemical equipment and data storage nodes.

3. The method for managing chemical equipment for safe production according to claim 2, characterized in that, Before obtaining the pre-set current equipment data model corresponding to the chemical equipment, the method further includes: By identifying the chemical equipment and the corresponding relationship, a designated blockchain node storing the equipment data of the chemical equipment is determined, so as to obtain the historical equipment data corresponding to the chemical equipment through the designated blockchain node; Based on the historical equipment data of the chemical equipment, a data model is performed on the operation process of the chemical equipment to obtain the current equipment data model corresponding to the chemical equipment.

4. A method for managing chemical equipment for safe production according to claim 3, characterized in that, By using the current equipment data model, the real-time operating data of the equipment, and the real-time physical environment data, the dynamic chemical data corresponding to the chemical equipment is determined, specifically including: The real-time operating data of the equipment and the real-time physical environment data are used as the operating parameters of the current equipment data model. Through the current equipment data model, the dynamic chemical data corresponding to the real-time physical environment data is determined.

5. A method for managing chemical equipment for safe production according to claim 1, characterized in that, The real-time equipment data is categorized to obtain real-time equipment data related to production safety, specifically including: The real-time equipment data is classified to obtain real-time equipment data related to safety production and non-production data. For the real-time equipment data related to safety production and the non-production data, a first data processing level and a second data processing level are set respectively, wherein the first data processing level is higher than the second data processing level; The real-time equipment data related to safety production in the first data processing level are sorted from largest to smallest according to the preset attribute weights of chemical equipment to obtain the processing order of the real-time equipment data related to safety production in the first data processing level. The larger the attribute weight of the chemical equipment, the greater the impact of the attribute on safety production.

6. A method for managing chemical equipment for safe production according to claim 5, characterized in that, The monitoring results of the real-time production equipment data are obtained by comparing the real-time production equipment data with the dynamic chemical data and the pre-set monitoring attribute data corresponding to safe production. Specifically, this includes: Acquire monitoring attribute data corresponding to safe production, wherein the monitoring attribute data is the attribute data corresponding to the chemical equipment during safe production, including attribute values ​​under multiple attributes; According to the processing order of the real-time equipment data of the safety production category, the data attributes of each real-time equipment data in the production category are determined sequentially. The data attributes include physical environment attributes and chemical environment attributes. The physical environment attributes include multiple physical sub-attributes, and the chemical environment attributes include multiple chemical sub-attributes. When the data attribute of the first real-time equipment data in the real-time equipment data of the safety production category is a physical environment attribute, the first attribute data that meets the requirements is determined in the monitoring attribute data, and the first real-time equipment data and the first attribute data are compared to obtain a first comparison result. The data attribute of the first attribute data is the same as the physical sub-attribute of the first real-time equipment data. The first comparison result includes the presence or absence of abnormal data items. When the data attribute of the second real-time equipment data in the real-time equipment data of the safety production category is a chemical environment attribute, the second attribute data that meets the requirements is determined in the dynamic chemical data, and the second real-time equipment data and the second attribute data are compared to obtain a second comparison result. The data attribute of the second attribute data is the same as the chemical sub-attribute of the second real-time equipment data. The second comparison result includes the presence or absence of abnormal data items. Based on the first comparison result and the second comparison result, the monitoring results of the real-time equipment data for safety production are obtained, wherein the monitoring results include any one of normal operating status and abnormal operating status.

7. A method for managing chemical equipment for safe production according to claim 1, characterized in that, The visualization process configuration module generates a visualization maintenance process for the current chemical equipment based on the monitoring results, specifically including: The monitoring data reading unit of the visualization process configuration module obtains the real-time device data corresponding to the monitoring results issued by the blockchain. The real-time equipment data is configured into the corresponding process model through the process model configuration unit of the visualization process configuration module to generate the operation and maintenance steps corresponding to the current chemical equipment. The process execution unit of the visualization process configuration module executes relevant business logic for the operation and maintenance steps to realize the operation and maintenance steps.

8. A method for managing chemical equipment for safe production according to claim 6, characterized in that, The aforementioned visual maintenance process enables equipment management of the chemical equipment, specifically including: When the monitoring result indicates an abnormal operating state, an early warning is issued through the monitoring and early warning module.

9. A chemical equipment management device for safe production, characterized in that, The device includes: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enable the at least one processor to: The data acquisition and storage module collects real-time equipment data for each chemical equipment. The real-time equipment data includes real-time equipment operation data and real-time equipment environmental data. The equipment environmental data includes real-time physical environment data and real-time chemical data. The equipment monitoring module obtains the current equipment data model corresponding to the pre-set chemical equipment, and determines the dynamic chemical data corresponding to the chemical equipment through the current equipment data model, the real-time operating data of the equipment, and the real-time physical environment data. The current equipment data model is used to simulate the operating status of the chemical equipment and the impact of the physical environment data of the chemical equipment on the chemical environment data. The data processing module categorizes the real-time equipment data to obtain real-time equipment data related to safety production. The monitoring results of the real-time production equipment data are obtained by comparing the real-time production equipment data with the dynamic chemical data and the pre-set monitoring attribute data corresponding to safe production. The visualization process configuration module generates a visualization maintenance process for the current chemical equipment based on the monitoring results. The visualization maintenance process is used to manage the chemical equipment and includes multiple operation and maintenance steps.

10. A non-volatile computer storage medium storing computer-executable instructions, characterized in that, The computer-executable instructions are set as follows: The data acquisition and storage module collects real-time equipment data for each chemical equipment. The real-time equipment data includes real-time equipment operation data and real-time equipment environmental data. The equipment environmental data includes real-time physical environment data and real-time chemical data. The equipment monitoring module obtains the current equipment data model corresponding to the pre-set chemical equipment, and determines the dynamic chemical data corresponding to the chemical equipment through the current equipment data model, the real-time operating data of the equipment, and the real-time physical environment data. The current equipment data model is used to simulate the operating status of the chemical equipment and the impact of the physical environment data of the chemical equipment on the chemical environment data. The data processing module categorizes the real-time equipment data to obtain real-time equipment data related to safety production. The monitoring results of the real-time production equipment data are obtained by comparing the real-time production equipment data with the dynamic chemical data and the pre-set monitoring attribute data corresponding to safe production. The visualization process configuration module generates a visualization maintenance process for the current chemical equipment based on the monitoring results. The visualization maintenance process is used to manage the chemical equipment and includes multiple operation and maintenance steps.

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