An industrial park intelligent safety management early warning method and system

Abstract

The application relates to the technical field of industrial park safety management, and discloses an industrial park intelligent safety management early warning method and system, which obtains the production processing type and the planned production time of each production unit in a target industrial park, considers the industrial gas dangerous reaction between the production associated gases corresponding to the production processing type and the planned production time, and then utilizes the production area position and the equipment state data provided by each production unit to perform key monitoring area screening, generates a monitoring and early warning area of the target industrial park, the monitoring and early warning area is an area with higher production danger in the target industrial park, and finally, a safety management detection strategy for guiding the industrial park to perform inspection and maintenance is generated according to the monitoring and early warning area. Therefore, the technical problems that the current safety management scheme for the industrial park has limitations and the early warning accuracy of the key monitoring unit / area is not high are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial park safety management, and in particular to an industrial park intelligent safety management early warning method and system. Background Art

[0002] An industrial park is a specific area administratively designated by a country or region based on the inherent requirements of its economic development. This area aims to scientifically integrate various production factors, increase the intensity of industrialization, highlight industrial characteristics, and optimize functional layout. As a key area for industrial agglomeration, the importance of safety management and early warning systems in industrial parks is self-evident. The accuracy and effectiveness of safety management and early warning systems are not only related to the production safety and economic benefits of enterprises, but also directly related to the safety of employees' lives and property, as well as social stability. However, existing technologies for safety management and early warning systems in industrial parks have the following problems:

[0003] First, industrial parks (especially chemical industrial parks) usually use a large amount of chemical raw materials. These raw materials, as well as the intermediate compounds and exhaust gases in the production process, are often flammable, reactive and toxic. Although chemical production units are usually required to set up purification processes or purification equipment to ensure that the impact of exhaust gases on the environment meets environmental protection requirements, it is still impossible to avoid the exhaust gases discharged by different chemical production units in the chemical industrial park or the raw materials and intermediate compounds that leak due to abnormal operation of process equipment. There will be conflicts and reactions between them, thereby causing safety accidents.

[0004] Secondly, since there are usually a large number of production units in industrial parks, and the production conditions (production tasks, process equipment status) of different production units are different, the safety accident supervisors in the industrial park cannot and should not inspect and maintain all production units in the park during each monitoring cycle. On the one hand, they need to consider the pressure of personnel costs, and on the other hand, they also need to consider the impact of inspection and maintenance on the production of production units. Therefore, safety management inspections are usually only performed on key monitoring units selected in the industrial park.

[0005] Therefore, how to improve the scientific, effective and rationality of industrial park safety management and enhance the accuracy of industrial park early warning for key monitoring units / areas is a technical problem that needs to be solved urgently. Summary of the Invention

[0006] The main purpose of the present invention is to provide an intelligent safety management and early warning method and system for industrial parks, aiming to solve the technical problems that the current safety management solutions for industrial parks have limitations and the early warning accuracy for key monitoring units / areas is not high.

[0007] To achieve the above objectives, the present invention provides an industrial park smart safety management early warning method, comprising the following steps:

[0008] Obtain a production task list for each production unit in the target industrial park; wherein the production task list includes a plurality of production task information arranged in time, and each production task information includes a production processing type and a planned production time for the production processing type;

[0009] Based on the pieces of production task information in the production task list and the production area location of each production unit, generating a plurality of key monitoring areas for each monitoring cycle;

[0010] Calling the equipment status database provided by each production unit, extracting the equipment status data set of each key monitored production unit in the key monitoring area in each monitoring cycle, optimizing several key monitoring areas, and obtaining monitoring and early warning areas;

[0011] Based on the monitoring and early warning areas, a safety management detection strategy for the target industrial park is implemented.

[0012] Optionally, the step of obtaining a production task list for each production unit in the target industrial park includes:

[0013] Obtaining a database access interface provided by each production unit in the target industrial park, and using the database access interface to access production task information stored in a production task database;

[0014] Extract several unexecuted production task information from the production task database of each production unit, arrange each unexecuted production task information in chronological order according to the planned production time of each unexecuted production task information, and build a production task list.

[0015] Optionally, based on the pieces of production task information in the production task list and the production area location of each production unit, a step of generating a plurality of key monitoring areas for each monitoring cycle specifically includes:

[0016] Constructing a production task schedule diagram based on the production and processing types of the plurality of production task information in the production task list and the planned production times of the production and processing types;

[0017] The production task progress chart is configured as: a number of rectangular schematic boxes arranged along the horizontal axis with the planned production time as the horizontal axis and the unit length as the vertical axis; wherein each rectangular schematic box is filled with a color representing a different production and processing type

[0018] According to the production task progress diagram and production area location of each production unit in the target industrial park, several key monitoring areas are generated for each monitoring cycle.

[0019] Optionally, according to the production task progress diagram of each production unit in the target industrial park and the production area position, a plurality of key monitoring area steps in each monitoring period are generated, specifically including:

[0020] The production task progress diagrams of all production units in the target industrial park are superimposed in the same coordinate system to generate a conflict color superimposed section that meets the conflict condition at the same planned production time.

[0021] According to the production task progress diagram and the production area position corresponding to each conflict color superimposed section, a production unit screening action is performed from all production units in the target industrial park to generate a plurality of key monitoring areas in each monitoring period.

[0022] Optionally, the production task progress diagrams of all production units in the target industrial park are superimposed in the same coordinate system to generate a conflict color superimposed section that meets the conflict condition at the same planned production time, specifically including:

[0023] According to the production processing type of each production task information in the production task list, the production associated gas corresponding to each production processing type is extracted from the production processing principle database; wherein the production associated gas includes production raw material gas, production intermediate gas and production exhaust gas;

[0024] A mapping relationship between the color of each production processing type and the production associated gas is established, the industrial gas dangerous reaction relationship formula database is accessed, a plurality of production associated gas groups capable of producing dangerous reactions are extracted, and the production associated gas in each production associated gas group is replaced by the corresponding color;

[0025] The production task progress diagrams of all production units in the target industrial park are superimposed in the same coordinate system, and the colors of a plurality of different production processing types at the same planned production time are iteratively matched with the production associated gas in a plurality of production associated gas groups.

[0026] The plurality of production associated gases that meet the matching result are taken as the conflict color superimposed section that meets the conflict condition in the section corresponding to the production task progress diagram.

[0027] Optionally, according to the production task progress diagram and the production area position corresponding to each conflict color superimposed section, a production unit screening action is performed from all production units in the target industrial park to generate a plurality of key monitoring areas in each monitoring period. Specifically, the steps include:

[0028] According to the production task progress diagram corresponding to each conflict color superimposed section, a first production unit screening action is performed from all production units in the target industrial park to generate a plurality of groups of screened production units in each monitoring period.

[0029] Calculate the buffer distance of each group of screened production units based on the production area location of each group of screened production units, and perform a second production unit screening action from the groups of screened production units based on the buffer distance and the preset safety distance corresponding to the conflicting color overlapping section to generate several groups of key production units in each monitoring cycle;

[0030] Based on the production area location of each group of key production units, several key monitoring areas are generated for each monitoring cycle.

[0031] Optionally, the step of calling the equipment status database provided by each production unit to extract the equipment status data set of each key monitored production unit in the key monitoring area in each monitoring period specifically includes:

[0032] Calling an equipment status database provided by each production unit, extracting a plurality of historical operating time periods of each production process equipment stored in the equipment status database and historical operating environment parameters corresponding to each of the historical operating time periods;

[0033] According to the production-related gas type that meets the conflict condition for each key monitored production unit in the key monitoring area, several historical operating time periods of the target production process equipment that is process-related to the production-related gas type and the historical operating environment parameters corresponding to each of the historical operating time periods are selected from the equipment status database.

[0034] Optionally, several key monitoring areas are optimized to obtain monitoring and early warning area steps, including:

[0035] Invoking an equipment life calculation model provided by the target production process equipment manufacturer; wherein the equipment life calculation model is configured to calculate the difference between the total life value and the product of the operating time of the target production process equipment under different operating environment parameter combinations and the life loss coefficient corresponding to the operating environment parameter combination;

[0036] The total life value is the standard operating time when the target production process equipment manufacturer performs equipment life testing according to standard operating environment parameters, and the life loss coefficient is the ratio of the standard operating time to the loss operating time obtained when the target production process equipment manufacturer performs equipment life testing according to different operating environment parameter combinations;

[0037] estimating the remaining life of the target production process equipment based on the equipment life calculation model and a plurality of historical operating periods of the target production process equipment and the historical operating environment parameters corresponding to each of the historical operating periods, and using the remaining life to query the equipment failure probability of the target production process equipment in a pre-provided comparison table of life values ​​and equipment failure probabilities;

[0038] A target key monitoring area where the equipment failure probability of all target production process equipment is higher than a failure probability threshold is selected from several key monitoring areas as an optimization of the several key monitoring areas to obtain a monitoring and early warning area.

[0039] Optionally, the security management detection strategy specifically includes:

[0040] For each monitoring and early warning area, early warning information is sent to the corresponding smart terminal of the safety accident supervisor in the industrial park before each monitoring cycle;

[0041] The early warning information is configured to drive corresponding safety accident supervisors to perform maintenance inspections on target production process equipment in each monitoring and early warning area.

[0042] In addition, to achieve the above objectives, the present invention also provides an industrial park smart safety management and early warning system, comprising:

[0043] An acquisition module is used to obtain a production task list of each production unit in the target industrial park; wherein the production task list includes a plurality of production task information arranged in time, and each production task information includes a production processing type and a planned production time of the production processing type;

[0044] A generating module, configured to generate a plurality of key monitoring areas for each monitoring cycle based on a plurality of pieces of production task information in the production task list and the production area location of each production unit;

[0045] A calling module is used to call the equipment status database provided by each production unit, extract the equipment status data set of each key monitored production unit in the key monitoring area in each monitoring cycle, optimize several key monitoring areas, and obtain monitoring and early warning areas;

[0046] The execution module is used to execute the safety management detection strategy of the target industrial park according to the monitoring and early warning area.

[0047] The beneficial effects of the present invention are as follows: a method and system for intelligent safety management and early warning of industrial parks is proposed. By obtaining the production and processing type and planned production time of each production unit in the target industrial park, the dangerous industrial gas reactions between production-related gases corresponding to the production and processing type and the planned production time are considered, and then the production area location and equipment status data provided by each production unit are used to screen key monitoring areas, thereby generating a monitoring and early warning area for the target industrial park. This monitoring and early warning area is the area with higher production risks in the target industrial park. Finally, based on the monitoring and early warning area, a safety management detection strategy for guiding the industrial park to perform inspections and maintenance is generated. This solves the technical problems that the current safety management solutions for industrial parks have limitations and the early warning accuracy for key monitoring units / areas is not high. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A flowchart of an industrial park smart safety management and early warning method according to an embodiment of the present invention;

[0049] Figure 2 This is a structural block diagram of the industrial park smart safety management and early warning system in an embodiment of the present invention.

[0050] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0052] The embodiment of the present invention provides an industrial park smart safety management early warning method, referring to Figure 1 , Figure 1 This is a flow chart of an embodiment of the industrial park smart safety management and early warning method of the present invention.

[0053] In this embodiment, the industrial park smart safety management early warning method includes the following steps:

[0054] S100: Obtain a production task list for each production unit in the target industrial park; wherein the production task list includes a plurality of production task information arranged in time, and each production task information includes a production processing type and a planned production time for the production processing type;

[0055] S200: generating a plurality of key monitoring areas for each monitoring cycle based on a plurality of pieces of production task information in the production task list and a production area location of each production unit;

[0056] S300: Calling the equipment status database provided by each production unit, extracting the equipment status data set of each key monitored production unit in each monitoring period in the key monitoring area, optimizing several key monitoring areas, and obtaining monitoring and early warning areas;

[0057] S400: Executing a safety management detection strategy for the target industrial park according to the monitoring and early warning area.

[0058] It should be noted that existing technologies for safety management and early warning systems in industrial parks present the following challenges: First, industrial parks (especially chemical industrial parks) typically use large quantities of chemical raw materials. These raw materials, as well as intermediate compounds and exhaust gases produced during the production process, are often flammable, reactive, and toxic. Although chemical production units are typically required to install purification processes or equipment to ensure that the environmental impact of exhaust gases meets environmental protection requirements, it is still unavoidable that exhaust gases emitted by different chemical production units within the chemical industrial park, or raw materials and intermediate compounds leaked due to abnormal process equipment operation, may interact and react with each other, potentially causing safety accidents. Second, due to the large number of production units within an industrial park and the varying production conditions (production tasks, process equipment status) of each unit, safety accident supervisors within the industrial park cannot and should not conduct inspections and maintenance on all units within the park during every monitoring cycle. This is due to both personnel cost pressures and the impact of inspections and maintenance on the production units. Therefore, safety management inspections are typically only performed on selected key monitoring units within the industrial park.

[0059] To address the aforementioned issues, this embodiment obtains the production and processing type and planned production time for each production unit in the target industrial park. It then considers the hazardous reactions between production-related gases corresponding to the production and processing type and the planned production time. It then uses the production area location and equipment status data provided by each production unit to screen key monitoring areas, generating monitoring and early warning areas for the target industrial park. These monitoring and early warning areas are areas within the target industrial park with higher production risks. Finally, based on these monitoring and early warning areas, a safety management and detection strategy is generated to guide the industrial park in performing inspections and maintenance. This addresses the technical issues of the limitations of current safety management solutions for industrial parks and the low accuracy of early warnings for key monitoring units / areas.

[0060] In a preferred embodiment, the step of obtaining a production task list of each production unit in the target industrial park specifically includes:

[0061] S110: Obtain a database access interface provided by each production unit in the target industrial park, and use the database access interface to access production task information stored in a production task database;

[0062] S120: extracting a number of unexecuted production task information from the production task database of each production unit, arranging each unexecuted production task information in chronological order according to the planned production time of each unexecuted production task information, and constructing a production task list.

[0063] In this embodiment, a production task list of each production unit in the target industrial park is obtained, mainly through the database access interface provided by each production unit, the stored production task information is extracted from the production task database, and then arranged according to the planned production time of the production task information that has not yet been executed to construct a production task list. Each production task information in the production task list stores the production processing type and the planned production time of the production processing type, so that the system can further analyze the areas that need to be monitored in the target industrial park based on the production task information.

[0064] In a preferred embodiment, based on the pieces of production task information in the production task list and the production area location of each production unit, the steps of generating several key monitoring areas for each monitoring cycle specifically include:

[0065] S210: Constructing a production task schedule diagram based on the production and processing types of the plurality of production task information in the production task list and the planned production times of the production and processing types;

[0066] The production task progress chart is configured as: a number of rectangular schematic boxes arranged along the horizontal axis with the planned production time as the horizontal axis and the unit length as the vertical axis; wherein each rectangular schematic box is filled with a color representing a different production and processing type

[0067] S220: Generate several key monitoring areas for each monitoring cycle based on the production task progress diagram and production area location of each production unit in the target industrial park.

[0068] On this basis, according to the production task progress diagram and production area location of each production unit in the target industrial park, several key monitoring area steps for each monitoring cycle are generated, including:

[0069] S221: superimposing the production task progress diagrams of all production units in the target industrial park in the same coordinate system to generate conflicting color superimposed segments that meet the conflicting conditions at the same planned production time;

[0070] S222: Based on the production task progress diagram and production area location corresponding to each conflicting color overlay segment, a production unit screening action is performed from all production units in the target industrial park to generate several key monitoring areas for each monitoring cycle.

[0071] On this basis, the production task progress diagrams of all production units in the target industrial park are superimposed in the same coordinate system to generate conflicting color superimposed segments that meet the conflict conditions at the same planned production time. The specific steps include:

[0072] S2211: Extracting production-related gases corresponding to each production-processing type from a production-processing principle database based on the production-processing type of each production task information in the production task list; wherein the production-related gases include production raw gas, production intermediate gas, and production exhaust gas;

[0073] S2212: Establishing a mapping relationship between the color of each production and processing type and the production-related gas, accessing the industrial gas hazardous reaction relational database, extracting several production-related gas groups that can produce hazardous reactions, and replacing the production-related gas in each production-related gas group with the corresponding color;

[0074] S2213: Overlaying the production task progress diagrams of all production units in the target industrial park in the same coordinate system, and traversally matching the colors of several different production and processing types at the same planned production time with the production-related gases in several production-related gas groups;

[0075] S2214: The sections corresponding to the production task progress chart of the several production-related gases that meet the matching results are used as conflicting color overlay sections that meet the conflict conditions.

[0076] On this basis, according to the production task progress diagram and production area location corresponding to each conflicting color overlay segment, a production unit screening action is performed from all production units in the target industrial park to generate several key monitoring area steps for each monitoring cycle, including:

[0077] S2221: performing a first production unit screening operation from all production units in the target industrial park according to the production task progress diagram corresponding to each conflicting color superimposed segment, and generating a plurality of groups of screened production units within each monitoring cycle;

[0078] S2222: Calculate a buffer distance for each group of screened production units based on the production area location of each group of screened production units, and perform a second production unit screening operation on the plurality of groups of screened production units based on the buffer distance and a preset safety distance corresponding to the conflicting color overlapping segment, thereby generating a plurality of groups of key production units within each monitoring cycle;

[0079] S2223: Based on the production area locations of each group of key production units, generate several key monitoring areas for each monitoring cycle.

[0080] In this embodiment, after obtaining a production task list for each production unit in the target industrial park, a production task schedule diagram is first constructed based on the production process type and the planned production time of the production process type in the production task information. The production task schedule diagram comprises a plurality of rectangular boxes arranged along the horizontal axis. Each rectangular box represents a production task to be performed by the production unit, and the fill color of the rectangular boxes varies depending on the production process type. Subsequently, a mapping relationship between the fill colors of the rectangular boxes and the production-related gases is established by extracting the production-related gases corresponding to each production process type from a production process principle database. Then, based on a plurality of production-related gas groups in a database of industrial gas hazardous reaction equations, the production-related gases in each production-related gas group are replaced with corresponding colors. Finally, when overlaying the production task schedule diagrams, the colors corresponding to the production-related gases capable of producing hazardous reactions in each production-related gas group are used to determine whether the production tasks corresponding to the production task information meet conflict conditions (i.e., whether reactions will occur between the production raw materials, intermediate gases, and exhaust gases of the multiple production tasks). If so, the rectangular segments corresponding to the planned processing times that meet the conflict conditions are designated as conflicting color overlay segments.

[0081] Afterwards, based on the production task progress diagram corresponding to each conflicting color overlay segment, a first production unit screening operation is performed on all production units in the target industrial park. A second production unit screening operation is performed on several groups of screened production units based on the production area location of each group of screened production units. This results in several key monitoring areas for each monitoring cycle. Gases generated or exhausted by production tasks in these key monitoring areas may react due to mutual interference, increasing the possibility of causing safety accidents. This allows the selection of key monitoring areas in the target industrial park.

[0082] In a preferred embodiment, the step of calling the equipment status database provided by each production unit and extracting the equipment status data set of each key monitored production unit in the key monitoring area in each monitoring cycle specifically includes:

[0083] S310: Calling the equipment status database provided by each production unit, extracting several historical operating time periods of each production process equipment stored in the equipment status database and historical operating environment parameters corresponding to each historical operating time period;

[0084] S320: Based on the production-related gas type that meets the conflict condition for each key monitored production unit in the key monitoring area, several historical operating time periods of the target production process equipment that is process-related to the production-related gas type and the historical operating environment parameters corresponding to each of the historical operating time periods are selected from the equipment status database.

[0085] On this basis, several key monitoring areas are optimized to obtain the monitoring and early warning area steps, including:

[0086] S330: Invoking an equipment life accounting model provided by the target production process equipment manufacturer; wherein the equipment life accounting model is configured to calculate the total life value minus the difference between the operating time of the target production process equipment under different operating environment parameter combinations and the product of the life loss coefficient corresponding to the operating environment parameter combination; wherein the total life value is the standard operating time when the target production process equipment manufacturer performs equipment life testing according to the standard operating environment parameters, and the life loss coefficient is the ratio of the standard operating time to the loss operating time obtained when the target production process equipment manufacturer performs equipment life testing according to the different operating environment parameter combinations;

[0087] S340: estimating the remaining life of the target production process equipment based on the equipment life calculation model and a plurality of historical operating periods of the target production process equipment and the historical operating environment parameters corresponding to each of the historical operating periods, and querying the equipment failure probability of the target production process equipment in a pre-provided comparison table of life values ​​and equipment failure probabilities using the remaining life value;

[0088] S350: Selecting a target key monitoring area where the equipment failure probability of all target production process equipment is higher than a failure probability threshold from the plurality of key monitoring areas as an optimization of the plurality of key monitoring areas to obtain a monitoring early warning area.

[0089] In this embodiment, after obtaining the key monitoring areas within the target industrial park, the status of the process equipment at different production units must also be considered. By obtaining several historical operating periods of the production process equipment and the historical operating environment parameters corresponding to each of these historical operating periods, and utilizing the equipment life calculation model provided by the production process equipment manufacturer, the remaining life of the target production process equipment is estimated. Finally, the equipment failure probability of the target production process equipment is determined. From the several key monitoring areas, target key monitoring areas where the equipment failure probability of all target production process equipment exceeds a failure probability threshold are selected as optimizations of the several key monitoring areas to obtain monitoring and early warning areas. Specifically, if the equipment failure probability of each production-related gas in the production process equipment of the corresponding production unit that is capable of producing a hazardous reaction exceeds the failure probability threshold, it indicates that a hazardous reaction of the industrial gas in the production-related gas group is highly likely to occur. In this case, the union of the key detection areas corresponding to the involved production units is used as the monitoring and early warning area. This monitoring and early warning area represents an area within the target industrial park with a higher production risk and requires additional maintenance inspections.

[0090] In actual application, the security management detection strategy specifically includes:

[0091] S410: For each monitoring and early warning area, early warning information is sent to the smart terminal corresponding to the safety accident supervisor of the industrial park before each monitoring cycle; wherein, the early warning information is configured to drive the corresponding safety accident supervisor to perform maintenance inspections on the target production process equipment in each monitoring and early warning area.

[0092] In this embodiment, according to the safety management detection strategy, early warning information is sent to the smart terminal configured for the safety accident supervisor, so as to drive the safety accident supervisor to the monitoring and early warning area during the monitoring cycle to perform maintenance and detection, thereby realizing targeted key monitoring of the target industrial park, and solving the technical problems that the current safety management plan for industrial parks has limitations and the early warning accuracy of key monitoring units / areas is not high.

[0093] Reference Figure 2 , Figure 2 This is a structural block diagram of an embodiment of the industrial park smart safety management and early warning system of the present invention.

[0094] like Figure 2 As shown, the industrial park smart safety management and early warning system proposed in the embodiment of the present invention includes:

[0095] An acquisition module 10 is configured to acquire a production task list of each production unit in the target industrial park; wherein the production task list includes a plurality of production task information items arranged in time, each production task information item including a production processing type and a planned production time for the production processing type;

[0096] A generating module 20, configured to generate a plurality of key monitoring areas for each monitoring cycle based on the plurality of pieces of production task information in the production task list and the production area location of each production unit;

[0097] The calling module 30 is used to call the equipment status database provided by each production unit, extract the equipment status data set of each key monitored production unit in the key monitoring area in each monitoring cycle, optimize several key monitoring areas, and obtain monitoring and early warning areas;

[0098] The execution module 40 is used to execute the safety management detection strategy of the target industrial park according to the monitoring and early warning area.

[0099] Other embodiments or specific implementation methods of the industrial park smart safety management and early warning system of the present invention can refer to the above-mentioned method embodiments and will not be repeated here.

[0100] It should be understood that, in the description of this specification, reference to terms such as "one embodiment," "another embodiment," "other embodiments," or "first to Nth embodiments" means that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any appropriate manner in any one or more embodiments or examples.

[0101] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or system comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or system. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or system comprising the element.

[0102] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A smart safety management and early warning method for industrial parks, characterized by: The following steps are involved: Obtain a production task list for each production unit in the target industrial park; wherein the production task list includes a plurality of production task information arranged in time, and each production task information includes a production processing type and a planned production time for the production processing type; Based on the several pieces of production task information in the production task list and the production area location of each production unit, several key monitoring areas are generated for each monitoring cycle; specifically, the method includes: constructing a production task progress diagram based on the production and processing types of the several pieces of production task information in the production task list and the planned production time of the production and processing types; wherein the production task progress diagram is configured as: a plurality of rectangular schematic boxes arranged along the abscissa axis with the planned production time as the abscissa and the unit length as the ordinate; wherein each rectangular schematic box is filled with a color representing a different production and processing type; and generating several key monitoring areas for each monitoring cycle according to the production task progress diagram and the production area location of each production unit in the target industrial park; Among them, based on the production task progress diagram and production area location of each production unit in the target industrial park, a number of key monitoring area steps are generated for each monitoring cycle, specifically including: superimposing the production task progress diagrams of all production units in the target industrial park in the same coordinate system to generate conflicting color superimposed segments that meet the conflict conditions at the same planned production time; performing a production unit screening action from all production units in the target industrial park based on the production task progress diagram and production area location corresponding to each conflicting color superimposed segment to generate a number of key monitoring areas for each monitoring cycle; Among them, the production task progress diagrams of all production units in the target industrial park are superimposed in the same coordinate system to generate conflicting color superimposed sections that meet the conflict conditions at the same planned production time, specifically including: extracting the production-related gases corresponding to each production-processing type from the production-processing principle database according to the production-processing type of each production task information in the production task list; wherein the production-related gases include production raw material gas, production intermediate gas and production exhaust gas; establishing a mapping relationship between the color of each production-processing type and the production-related gas, accessing the industrial gas hazardous reaction relational database, extracting several production-related gas groups that can produce hazardous reactions, and replacing the production-related gases in each production-related gas group with corresponding colors; superimposing the production task progress diagrams of all production units in the target industrial park in the same coordinate system, traversing and matching the colors of several different production-processing types at the same planned production time with the production-related gases in several production-related gas groups; and using the sections corresponding to the several production-related gases that meet the matching results in the production task progress diagram as conflicting color superimposed sections that meet the conflict conditions; Among them, according to the production task progress diagram and production area location corresponding to each conflicting color superimposed section, a production unit screening action is performed from all production units in the target industrial park to generate several key monitoring area steps for each monitoring cycle, specifically including: according to the production task progress diagram corresponding to each conflicting color superimposed section, a first production unit screening action is performed from all production units in the target industrial park to generate several groups of screened production units in each monitoring cycle; according to the production area location of each group of screened production units, a buffer distance of each group of screened production units is calculated, and according to the buffer distance and the preset safety distance corresponding to the conflicting color superimposed section, a second production unit screening action is performed from several groups of screened production units to generate several groups of key production units in each monitoring cycle; based on the production area location of each group of key production units, several key monitoring areas for each monitoring cycle are generated; Call the equipment status database provided by each production unit, extract the equipment status data set of each key monitored production unit in the key monitoring area in each monitoring cycle, optimize several key monitoring areas, and obtain monitoring and early warning areas; specifically including: calling the equipment status database provided by each production unit, extracting several historical operating time periods of each production process equipment stored in the equipment status database and the historical operating environment parameters corresponding to each of the historical operating time periods; according to the production-related gas type that meets the conflict condition of each key monitored production unit in the key monitoring area, select several historical operating time periods of target production process equipment that are process-related to the production-related gas type and the historical operating environment parameters corresponding to each of the historical operating time periods from the equipment status database; call the equipment life accounting model provided by the manufacturer of the target production process equipment; wherein, the equipment life accounting model is configured as the total life value minus the target production process equipment in different operating environments The difference between the operating time under the parameter combination and the product of the life loss coefficient corresponding to the operating environment parameter combination; wherein, the total life value is the standard operating time when the target production process equipment manufacturer performs the equipment life test according to the standard operating environment parameters, and the life loss coefficient is the ratio of the standard operating time to the loss operating time obtained when the target production process equipment manufacturer performs the equipment life test according to different operating environment parameter combinations; based on the equipment life accounting model and several historical operating periods of the target production process equipment and the historical operating environment parameters corresponding to each of the historical operating periods, the remaining life value of the target production process equipment is estimated, and the equipment failure probability of the target production process equipment is queried in a pre-provided life value and equipment failure probability comparison table using the remaining life value; from several key monitoring areas, the target key monitoring area where the equipment failure probability of all target production process equipment is higher than the failure probability threshold is selected as the optimization of several key monitoring areas to obtain the monitoring and early warning area; Based on the monitoring and early warning areas, a safety management detection strategy for the target industrial park is implemented.

2. The industrial park smart safety management early warning method according to claim 1, characterized in that: The steps for obtaining the production task list of each production unit in the target industrial park include: Obtaining a database access interface provided by each production unit in the target industrial park, and using the database access interface to access production task information stored in a production task database; Extract several unexecuted production task information from the production task database of each production unit, arrange each unexecuted production task information in chronological order according to the planned production time of each unexecuted production task information, and build a production task list.

3. The industrial park smart safety management early warning method according to claim 1, characterized in that: The security management detection strategy specifically includes: For each monitoring and early warning area, early warning information is sent to the corresponding smart terminal of the safety accident supervisor in the industrial park before each monitoring cycle; The early warning information is configured to drive corresponding safety accident supervisors to perform maintenance inspections on target production process equipment in each monitoring and early warning area.

4. An industrial park smart safety management and early warning system, characterized by: The industrial park smart safety management and early warning method according to any one of claims 1 to 3 comprises: An acquisition module is used to obtain a production task list of each production unit in the target industrial park; wherein the production task list includes a plurality of production task information arranged in time, and each production task information includes a production processing type and a planned production time of the production processing type; A generating module, configured to generate a plurality of key monitoring areas for each monitoring cycle based on a plurality of pieces of production task information in the production task list and the production area location of each production unit; A calling module is used to call the equipment status database provided by each production unit, extract the equipment status data set of each key monitored production unit in the key monitoring area in each monitoring cycle, optimize several key monitoring areas, and obtain monitoring and early warning areas; The execution module is used to execute the safety management detection strategy of the target industrial park according to the monitoring and early warning area.

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