An emergency plan management system for industrial production

Abstract

The present application relates to the technical field of emergency plans, and in particular to an emergency plan management system for industrial production. It includes: a storage unit, used to establish multiple first-level sub-repositories and one second-level sub-repository; a central control unit, used to traverse the emergency plan list and establish an emergency plan series A, the central control unit is used to set the first-level sub-repository of each emergency plan, and set the query parameters of each first-level sub-repository; a monitoring unit, used to obtain the change parameters of each auxiliary data according to the preset feedback time node, and determine whether to generate the update instructions for each emergency plan. By obtaining the emergency plan list, all emergency plans in the current stage are obtained, and according to the different parameters of each emergency plan, the corresponding storage and query parameters are set to facilitate personnel to perform operation management. At the same time, by obtaining all auxiliary data, the corresponding change parameters are obtained in time to periodically update each emergency plan and improve its effectiveness and feasibility.

Description

Technical Field

[0001] The present application relates to the technical field of emergency plans, and in particular to an emergency plan management system for industrial production. Background Art

[0002] In the industrial production process, when an accident or disaster occurs, if the corresponding emergency plan and response procedure regulations can be promptly called out according to the size and development situation of the accident or disaster, the losses caused by the accident or disaster can be greatly reduced.

[0003] However, the current emergency plan management system generally simply digitizes the text plan and manages the electronic plan after the text plan is converted, which is convenient for emergency response personnel to find and use in case of emergency. Since the emergency plan cannot be effectively optimized and updated, the management effect of the emergency plan is poor. Summary of the invention

[0004] The purpose of this application is: to solve the above-mentioned technical problems, this application provides an emergency plan management system for industrial production, aiming to improve the updating and management efficiency of emergency plans, improve the effectiveness and feasibility of various emergency plans, and reduce the losses caused by accidents and disasters.

[0005] In some embodiments of the present application, by obtaining an emergency plan list, all emergency plans for the current stage are obtained, and corresponding storage and query parameters are set according to the different parameters of each emergency plan to facilitate personnel to perform operation management. At the same time, by obtaining all auxiliary information, such as emergency resource survey reports, risk assessment reports, emergency plan preparation teams, emergency plan external review materials, filing applications and filing receipts, etc., the corresponding change parameters are obtained in a timely manner to periodically update each emergency plan, improve its effectiveness and feasibility, and avoid the failure of emergency plans due to changes in environmental factors, which will make it impossible to effectively deal with accidents and disasters.

[0006] In some embodiments of the present application, by constructing an association sub-model between a single emergency plan and auxiliary materials, a corresponding query channel architecture is constructed to improve query efficiency and management efficiency, thereby enhancing the response speed of the emergency plan and improving the security in the process of querying information.

[0007] In some embodiments of the present application, an emergency plan management system for industrial production is provided, including:

[0008] A storage unit, used to establish a plurality of first-level sub-storage repositories and a second-level sub-storage repositories;

[0009] The central control unit is used to traverse the emergency plan list and establish an emergency plan sequence A, A=(a1,a2…an); where ai is the i-th emergency plan and n is the number of emergency plans;

[0010] The central control unit is used to set the first-level sub-repository of each emergency plan and set the query parameters of each first-level sub-repository;

[0011] The central control unit is also used to obtain all auxiliary data and store all auxiliary data in the secondary sub-storage library;

[0012] The monitoring unit is used to obtain the change parameters of each auxiliary data according to the preset feedback time node, and determine whether to generate the update instructions of each emergency plan.

[0013] In some embodiments of the present application, the central control unit includes:

[0014] The first processing module is used to establish an emergency plan sequence A, A=(a1, a2…an);

[0015] The second processing module is used to obtain all auxiliary data and establish an auxiliary data sequence B, B=(b1, b2...bm); wherein bi is the i-th auxiliary data and m is the number of auxiliary data;

[0016] The third processing module is used to establish the associated sub-models of each emergency plan and establish the associated sub-model sequence C, C = (c1, c2...cn), where ci is the associated sub-model of the i-th emergency plan;

[0017] The fourth processing module is used to set the first-level sub-repository of each emergency plan and establish a first-level sub-repository sequence D, D = (d1, d2...dn), where di is the first-level sub-repository of the i-th emergency plan;

[0018] The fourth processing module is further used to set query parameters of each primary sub-repository.

[0019] In some embodiments of the present application, the third processing module is further used to:

[0020] Select the target emergency plan in sequence according to the emergency plan sequence A;

[0021] Obtain content parameters of the target emergency plan;

[0022] Generate the dependency of the target emergency plan and various auxiliary materials according to the content parameters;

[0023] Establish a dependency series P, P = (p1, p2…pm), where pi is the dependency between the target emergency plan and the i-th auxiliary data;

[0024] Preset the first dependency threshold P1;

[0025] If pi>P1, set the i-th auxiliary data as the first-level auxiliary data of the target emergency plan;

[0026] Generate the associated sub-model of the target emergency plan based on all the first-level auxiliary data of the target emergency plan;

[0027] Generate the associated sub-models of each emergency plan in turn.

[0028] In some embodiments of the present application, the setting of query parameters of each primary sub-repository includes:

[0029] Select the target first-level sub-repository in sequence according to the first-level sub-repository sequence D;

[0030] Obtain all first-level auxiliary materials corresponding to the emergency plan in the target first-level sub-repository, and extract the related content in each first-level auxiliary material;

[0031] Build a query channel architecture based on all associated content parameters;

[0032] The storage evaluation value of the first-level sub-storage repository is set according to the contents of the emergency plan in the target first-level sub-storage repository;

[0033] The query parameters of the target first-level sub-repository are set according to the storage evaluation value.

[0034] In some embodiments of the present application, the monitoring unit includes:

[0035] The first monitoring module is used to set the monitoring evaluation value of the secondary sub-storage repository and set the monitoring cycle duration according to the monitoring evaluation value;

[0036] The second monitoring module is used to obtain the change parameters of each auxiliary data in a single monitoring cycle, and determine whether to generate a correction instruction based on all the change parameters;

[0037] The third monitoring module is used to generate an update evaluation value of each emergency plan according to the correction instruction, and determine whether to generate an update instruction for each emergency plan according to all the updated evaluation values.

[0038] In some embodiments of the present application, the first monitoring module is further used to:

[0039] Obtain the historical parameters of all auxiliary data and generate the monitoring evaluation value k based on the historical parameters;

[0040] k=e1*Q1*[ (ɑi*fi)]+e2*Q2*U;

[0041] Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; ɑi is the influencing factor of the i-th auxiliary data; fi is the change frequency value of the i-th auxiliary data; U is the probability evaluation value of adding auxiliary data of different categories;

[0042] The monitoring cycle duration t is set according to the monitoring evaluation value k.

[0043] In some embodiments of the present application, when setting the monitoring cycle duration t, it includes:

[0044] Preset a first monitoring evaluation value interval (K1, K2), a second monitoring evaluation value interval (K2, K3) and a third monitoring evaluation value interval (K3, K4);

[0045] If the monitoring evaluation value k is in the preset first monitoring evaluation value interval, the monitoring cycle duration t is set to the preset first monitoring cycle duration T1, ie t = T1;

[0046] If the monitoring evaluation value k is in the preset second monitoring evaluation value interval, the monitoring cycle length t is set to the preset second monitoring cycle length T2, ie t = T2;

[0047] If the monitoring evaluation value k is in the preset third monitoring evaluation value interval, the monitoring cycle duration t is set to the preset third monitoring cycle duration T3, that is, t=T3; and T1>T2>T3.

[0048] In some embodiments of the present application, the second monitoring module is further used to:

[0049] Obtain the change parameters of each auxiliary data within the current monitoring period according to the preset monitoring time node;

[0050] Select target auxiliary data in sequence according to auxiliary data sequence B;

[0051] Obtain the change parameters of the target auxiliary data and generate the first-level difference evaluation value of the target auxiliary data in the current monitoring period;

[0052] Generate the first-level difference evaluation value of each auxiliary data in turn, and establish the first-level difference evaluation value sequence H, H = (h1, h2...hm), where hi is the first-level difference evaluation value of the i-th auxiliary data in the current monitoring period;

[0053] Generate a revised evaluation value j for the current monitoring period based on the first-level difference evaluation value sequence H;

[0054] j= (ɑi*hi);

[0055] ɑi is the impact factor of the ith auxiliary data;

[0056] Preset modified evaluation value threshold J1;

[0057] If j>J1, the current monitoring cycle generates a correction instruction;

[0058] If j≤J1, no correction instruction is generated in the current monitoring cycle.

[0059] In some embodiments of the present application, the third monitoring module is further used to:

[0060] Select the target emergency plan in turn;

[0061] Obtain the change parameters of all first-level auxiliary data of the target emergency plan;

[0062] Generate a second-level difference evaluation value for each first-level auxiliary data;

[0063] Establish the secondary difference evaluation series H1, H1=(h 11 ,h 12 …h 1m1 ), where h1i is the secondary difference evaluation value of the i-th primary auxiliary data of the target emergency plan; m1 is the number of primary auxiliary data of the curtain emergency plan;

[0064] Generate an updated evaluation value g of the target emergency plan according to the secondary difference evaluation value H1;

[0065] g= (βi*ri*h 1i );

[0066] Among them, βi is the compensation coefficient set based on the dependency between the target emergency plan and the i-th first-level auxiliary data; ri is the impact factor of the i-th first-level auxiliary data;

[0067] Generate updated evaluation values ​​for each emergency plan in turn, and establish updated evaluation value sequence G for the current monitoring period, G= (g1, g2…gn).

[0068] In some embodiments of the present application, the third monitoring module is further used to:

[0069] Preset the first update evaluation value threshold G1;

[0070] If gi>G1, generate an update instruction for the i-th emergency plan, and obtain the feasibility evaluation value of the updated emergency plan. If the feasibility evaluation value is lower than the preset feasibility evaluation value threshold, generate a safety warning instruction;

[0071] If gi≤G1, no update instruction for the i-th emergency plan is generated.

[0072] Compared with the prior art, the emergency plan management system for industrial production in the embodiment of the present application has the following beneficial effects:

[0073] By obtaining the emergency plan list, all emergency plans for the current stage are obtained, and according to the different parameters of each emergency plan, corresponding storage and query parameters are set to facilitate personnel to perform operation management. At the same time, by obtaining all auxiliary information, such as emergency resource investigation reports, risk assessment reports, emergency plan preparation teams, emergency plan external review materials, filing applications and filing receipts, etc., the corresponding change parameters are obtained in time to periodically update each emergency plan, improve its effectiveness and feasibility, and avoid the failure of emergency plans due to changes in environmental factors, which will make it impossible to effectively deal with accidents and disasters.

[0074] By constructing an associative sub-model between a single emergency plan and auxiliary materials, a corresponding query channel architecture is constructed to improve query efficiency and management efficiency, thereby enhancing the response speed of the emergency plan and improving the security of the query process. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Figure 1 It is a structural diagram of an emergency plan management system for industrial production in the preferred embodiment of the present application. DETAILED DESCRIPTION

[0076] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0077] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0078] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0079] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0080] like Figure 1 As shown, an emergency plan management system for industrial production according to a preferred embodiment of the present application includes:

[0081] A storage unit, used to establish a plurality of first-level sub-storage repositories and a second-level sub-storage repositories;

[0082] The central control unit is used to traverse the emergency plan list and establish an emergency plan sequence A, A=(a1,a2…an); where ai is the i-th emergency plan and n is the number of emergency plans;

[0083] The central control unit is used to set the first-level sub-repository of each emergency plan and set the query parameters of each first-level sub-repository;

[0084] The central control unit is also used to obtain all auxiliary data and store all auxiliary data in the secondary sub-storage library;

[0085] The monitoring unit is used to obtain the change parameters of each auxiliary data according to the preset feedback time node, and determine whether to generate the update instructions of each emergency plan.

[0086] Specifically, the first processing module is used to establish an emergency plan sequence A, A=(a1, a2…an);

[0087] The second processing module is used to obtain all auxiliary data and establish an auxiliary data sequence B, B=(b1, b2...bm); wherein bi is the i-th auxiliary data and m is the number of auxiliary data;

[0088] The third processing module is used to establish the associated sub-models of each emergency plan and establish the associated sub-model sequence C, C = (c1, c2...cn), where ci is the associated sub-model of the i-th emergency plan;

[0089] The fourth processing module is used to set the first-level sub-repository of each emergency plan and establish a first-level sub-repository sequence D, D = (d1, d2...dn), where di is the first-level sub-repository of the i-th emergency plan;

[0090] The fourth processing module is further used to set query parameters of each first-level sub-repository.

[0091] Specifically, the supporting materials include but are not limited to: emergency resource investigation report, risk assessment report, emergency plan preparation team, emergency plan external review materials, filing application and filing receipt and other materials.

[0092] Specifically, all emergency plans are obtained by traversing the emergency plan list, and the first-level sub-repository of each emergency plan is set. According to the accident type corresponding to the emergency plan, the calling parameters of the emergency plan are determined. Among them, a single emergency plan can be split into multiple sub-emergency plans according to the severity of the corresponding accident type, thereby improving the accuracy of emergency handling.

[0093] Specifically, the corresponding permission parameters are set according to the content parameters of the emergency plan, and the query parameters of the corresponding first-level sub-repository are set according to the call parameters and permission parameters to ensure that the data is visible and operable only to authorized personnel, thereby improving data security.

[0094] In a preferred embodiment of the present application, the third processing module is also used for:

[0095] Select the target emergency plan in sequence according to the emergency plan sequence A;

[0096] Obtain content parameters of the target emergency plan;

[0097] Generate the dependency of the target emergency plan and various auxiliary materials according to the content parameters;

[0098] Establish a dependency series P, P = (p1, p2…pm), where pi is the dependency between the target emergency plan and the i-th auxiliary data;

[0099] Preset the first dependency threshold P1;

[0100] If pi>P1, set the i-th auxiliary data as the first-level auxiliary data of the target emergency plan;

[0101] Generate the associated sub-model of the target emergency plan based on all the first-level auxiliary data of the target emergency plan;

[0102] Generate the associated sub-models of each emergency plan in turn.

[0103] Specifically, dependency refers to the correlation between the target emergency plan and the current auxiliary information. The higher the correlation, the higher the corresponding dependency.

[0104] Specifically, the influencing parameters of the relevance include, but are not limited to, whether the current auxiliary data is related data of the target emergency plan, whether the current auxiliary data will affect the implementation of the target emergency plan, and other parameters.

[0105] Specifically, by generating the dependency between the target emergency plan and various auxiliary materials, the related content between the target emergency plan and various auxiliary materials is determined, which facilitates quick query when calling the target emergency plan. At the same time, the target emergency plan can be updated in time according to the changed parameters of the auxiliary materials, thereby improving the timeliness and feasibility of the target emergency plan.

[0106] Specifically, when setting the query parameters for each first-level sub-repository, include:

[0107] Select the target first-level sub-repository in sequence according to the first-level sub-repository sequence D;

[0108] Obtain all first-level auxiliary materials corresponding to the emergency plan in the target first-level sub-repository, and extract the related content in each first-level auxiliary material;

[0109] Build a query channel architecture based on all associated content parameters;

[0110] The storage evaluation value of the first-level sub-storage repository is set according to the contents of the emergency plan in the target first-level sub-storage repository;

[0111] The query parameters of the target first-level sub-repository are set according to the storage evaluation value.

[0112] Specifically, by constructing an association sub-model between a single emergency plan and auxiliary materials, a corresponding query channel architecture is constructed to improve query efficiency and management efficiency, thereby enhancing the response speed of the emergency plan.

[0113] Specifically, according to the different contents involved in different emergency plans, corresponding permission parameters are set to achieve safe storage of materials, ensure that the information is visible and operable only by authorized personnel, improve data security, and set the corresponding query parameters of the first-level sub-repository according to the call parameters and permission parameters.

[0114] In a preferred embodiment of the present application, the monitoring unit includes:

[0115] The first monitoring module is used to set the monitoring evaluation value of the secondary sub-storage repository and set the monitoring cycle duration according to the monitoring evaluation value;

[0116] The second monitoring module is used to obtain the change parameters of each auxiliary data in a single monitoring cycle, and determine whether to generate a correction instruction based on all the change parameters;

[0117] The third monitoring module is used to generate an update evaluation value of each emergency plan according to the correction instruction, and determine whether to generate an update instruction for each emergency plan according to all the updated evaluation values.

[0118] Specifically, the first monitoring module is also used for:

[0119] Obtain the historical parameters of all auxiliary data and generate the monitoring evaluation value k based on the historical parameters;

[0120] k=e1*Q1*[ (ɑi*fi)]+e2*Q2*U;

[0121] Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; ɑi is the influencing factor of the i-th auxiliary data; fi is the change frequency value of the i-th auxiliary data; U is the probability evaluation value of adding auxiliary data of different categories;

[0122] The monitoring cycle duration t is set according to the monitoring evaluation value k.

[0123] Specifically, by presetting the first fixed coefficient and the second fixed coefficient, the model is normalized so that the various parameters within the model are in the same value range. The larger the monitoring and evaluation value, the higher the frequency of updating the emergency plan in the current industrial production process.

[0124] Specifically, the newly added auxiliary materials of different categories refer to the auxiliary materials that do not exist in the original database, and the changes in auxiliary materials refer to the changes in the contents recorded in the auxiliary materials in the original database.

[0125] Specifically, when setting the monitoring cycle duration t, it includes:

[0126] Preset a first monitoring evaluation value interval (K1, K2), a second monitoring evaluation value interval (K2, K3) and a third monitoring evaluation value interval (K3, K4);

[0127] If the monitoring evaluation value k is in the preset first monitoring evaluation value interval, the monitoring cycle duration t is set to the preset first monitoring cycle duration T1, ie t = T1;

[0128] If the monitoring evaluation value k is in the preset second monitoring evaluation value interval, the monitoring cycle length t is set to the preset second monitoring cycle length T2, ie t = T2;

[0129] If the monitoring evaluation value k is in the preset third monitoring evaluation value interval, the monitoring cycle duration t is set to the preset third monitoring cycle duration T3, that is, t=T3; and T1>T2>T3.

[0130] Specifically, the duration of a single monitoring cycle is dynamically adjusted according to the monitoring evaluation value, so as to provide timely feedback on the changing parameters of the auxiliary data, improve the updating efficiency of each emergency plan, and thus ensure the timeliness and feasibility of the emergency plan.

[0131] In a preferred embodiment of the present application, the second monitoring module is also used for:

[0132] Obtain the change parameters of each auxiliary data within the current monitoring period according to the preset monitoring time node;

[0133] Select target auxiliary data in sequence according to auxiliary data sequence B;

[0134] Obtain the change parameters of the target auxiliary data and generate the first-level difference evaluation value of the target auxiliary data in the current monitoring period;

[0135] Generate the first-level difference evaluation value of each auxiliary data in turn, and establish the first-level difference evaluation value sequence H, H = (h1, h2...hm), where hi is the first-level difference evaluation value of the i-th auxiliary data in the current monitoring period;

[0136] Generate a revised evaluation value j for the current monitoring period based on the first-level difference evaluation value sequence H;

[0137] j= (ɑi*hi);

[0138] ɑi is the impact factor of the ith auxiliary data;

[0139] Preset modified evaluation value threshold J1;

[0140] If j>J1, the current monitoring cycle generates a correction instruction;

[0141] If j≤J1, no correction instruction is generated in the current monitoring cycle.

[0142] Specifically, the first-level difference evaluation value is set according to the changes in the auxiliary data. The more changes there are, the greater the corresponding first-level difference evaluation value.

[0143] Specifically, the third monitoring module is also used for:

[0144] Select the target emergency plan in turn;

[0145] Obtain the change parameters of all first-level auxiliary data of the target emergency plan;

[0146] Generate a second-level difference evaluation value for each first-level auxiliary data;

[0147] Establish the secondary difference evaluation series H1, H1=(h 11 ,h 12 …h 1m1 ), where h1i is the secondary difference evaluation value of the i-th primary auxiliary data of the target emergency plan; m1 is the number of primary auxiliary data of the curtain emergency plan;

[0148] Generate an updated evaluation value g of the target emergency plan according to the secondary difference evaluation value H1;

[0149] g= (βi*ri*h 1i );

[0150] Among them, βi is the compensation coefficient set based on the dependency between the target emergency plan and the i-th first-level auxiliary data; ri is the impact factor of the i-th first-level auxiliary data;

[0151] Generate updated evaluation values ​​for each emergency plan in turn, and establish updated evaluation value sequence G for the current monitoring period, G= (g1, g2…gn).

[0152] Specifically, the secondary difference evaluation value is set according to the change parameters of the content associated with the target emergency plan and the auxiliary materials. The larger the change, the greater the corresponding secondary difference evaluation.

[0153] Specifically, the third monitoring module is also used for:

[0154] Preset the first update evaluation value threshold G1;

[0155] If gi>G1, generate an update instruction for the i-th emergency plan, and obtain the feasibility evaluation value of the updated emergency plan. If the feasibility evaluation value is lower than the preset feasibility evaluation value threshold, generate a safety warning instruction;

[0156] If gi≤G1, no update instruction for the i-th emergency plan is generated.

[0157] Specifically, the emergency plan is optimized and iterated according to the update instructions and the corresponding auxiliary data to generate a new emergency plan. If the feasibility of the newly generated emergency plan is lower than the threshold, it means that the current emergency materials have safety hazards, and early warnings are needed in time to remind management personnel to deal with them, eliminate potential risks, improve production safety, and avoid the problem of being unable to effectively deal with accidents and disasters.

[0158] According to the first concept of this application, by obtaining the emergency plan list, all emergency plans for the current stage are obtained, and according to the different parameters of each emergency plan, corresponding storage and query parameters are set to facilitate personnel to perform operation management. At the same time, by obtaining all auxiliary information, such as emergency resource investigation reports, risk assessment reports, emergency plan preparation teams, emergency plan external review materials, filing applications and filing receipts, etc., the corresponding change parameters are obtained in time to periodically update each emergency plan, improve its effectiveness and feasibility, and avoid the failure of emergency plans due to changes in environmental factors, which makes it impossible to effectively deal with accidents and disasters.

[0159] According to the second concept of the present application, by constructing an association sub-model between a single emergency plan and auxiliary materials, a corresponding query channel architecture is constructed to improve query efficiency and management efficiency, thereby enhancing the response speed of the emergency plan and improving the security in the process of querying information.

[0160] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. An emergency plan management system for industrial production, characterized in that: include: A storage unit, used to establish a plurality of first-level sub-storage repositories and a second-level sub-storage repositories; The central control unit is used to traverse the emergency plan list and establish an emergency plan sequence A, A=(a1,a2…an); where ai is the i-th emergency plan and n is the number of emergency plans; The central control unit is used to set the first-level sub-repository of each emergency plan and set the query parameters of each first-level sub-repository; The central control unit is also used to obtain all auxiliary data and store all auxiliary data in the secondary sub-storage library; A monitoring unit is used to obtain the change parameters of each auxiliary data according to the preset feedback time node, and determine whether to generate an update instruction for each emergency plan; The monitoring unit comprises: The first monitoring module is used to set the monitoring evaluation value of the secondary sub-storage repository and set the monitoring cycle duration according to the monitoring evaluation value; The second monitoring module is used to obtain the change parameters of each auxiliary data in a single monitoring cycle, and determine whether to generate a correction instruction based on all the change parameters; The third monitoring module is used to generate an update evaluation value of each emergency plan according to the correction instruction, and determine whether to generate an update instruction for each emergency plan according to all the update evaluation values; The second monitoring module is also used for: Obtain the change parameters of each auxiliary data within the current monitoring period according to the preset monitoring time node; Select target auxiliary data in sequence according to auxiliary data sequence B; Obtain the change parameters of the target auxiliary data and generate the first-level difference evaluation value of the target auxiliary data in the current monitoring period; Generate the first-level difference evaluation value of each auxiliary data in turn, and establish the first-level difference evaluation value sequence H, H = (h1, h2...hm), where hi is the first-level difference evaluation value of the i-th auxiliary data in the current monitoring period; Generate a revised evaluation value j for the current monitoring period based on the first-level difference evaluation value sequence H; j= (ɑi*hi); ɑi is the impact factor of the ith auxiliary data; Preset modified evaluation value threshold J1; If j>J1, the current monitoring cycle generates a correction instruction; If j≤J1, no correction instruction is generated in the current monitoring cycle; The third monitoring module is also used for: Select the target emergency plan in turn; Obtain the change parameters of all first-level auxiliary data of the target emergency plan; Generate a second-level difference evaluation value for each first-level auxiliary data; Establish the secondary difference evaluation series H1, H1=(h 11 ,h 12 …h 1m1 ), where h1i is the secondary difference evaluation value of the i-th primary auxiliary data of the target emergency plan; m1 is the number of primary auxiliary data of the curtain emergency plan; Generate an updated evaluation value g of the target emergency plan according to the secondary difference evaluation value H1; g= (βi*ri*h 1i ); Among them, βi is the compensation coefficient set based on the dependency between the target emergency plan and the i-th first-level auxiliary data; ri is the impact factor of the i-th first-level auxiliary data; Generate updated evaluation values ​​of each emergency plan in turn, and establish updated evaluation value sequence G of the current monitoring period, G=(g1,g2…gn); The third monitoring module is also used for: Preset the first update evaluation value threshold G1; If gi>G1, generate an update instruction for the i-th emergency plan, and obtain the feasibility evaluation value of the updated emergency plan. If the feasibility evaluation value is lower than the preset feasibility evaluation value threshold, generate a safety warning instruction; If gi≤G1, no update instruction for the i-th emergency plan is generated.

2. The emergency plan management system for industrial production according to claim 1, characterized in that: The central control unit comprises: The first processing module is used to establish an emergency plan sequence A, A=(a1, a2…an); The second processing module is used to obtain all auxiliary data and establish an auxiliary data sequence B, B=(b1, b2...bm); wherein bi is the i-th auxiliary data and m is the number of auxiliary data; The third processing module is used to establish the associated sub-models of each emergency plan and establish the associated sub-model sequence C, C = (c1, c2...cn), where ci is the associated sub-model of the i-th emergency plan; The fourth processing module is used to set the first-level sub-repository of each emergency plan and establish a first-level sub-repository sequence D, D = (d1, d2...dn), where di is the first-level sub-repository of the i-th emergency plan; The fourth processing module is further used to set query parameters of each primary sub-repository.

3. The emergency plan management system for industrial production according to claim 2, characterized in that: The third processing module is also used for: Select the target emergency plan in sequence according to the emergency plan sequence A; Obtain content parameters of the target emergency plan; Generate the dependency of the target emergency plan and various auxiliary materials according to the content parameters; Establish a dependency series P, P = (p1, p2…pm), where pi is the dependency between the target emergency plan and the i-th auxiliary data; Preset the first dependency threshold P1; If pi>P1, set the i-th auxiliary data as the first-level auxiliary data of the target emergency plan; Generate the associated sub-model of the target emergency plan based on all the first-level auxiliary data of the target emergency plan; Generate the associated sub-models of each emergency plan in turn.

4. The emergency plan management system for industrial production according to claim 3, characterized in that: The setting of the query parameters of each primary sub-repository includes: Select the target first-level sub-repository in sequence according to the first-level sub-repository sequence D; Obtain all first-level auxiliary materials corresponding to the emergency plan in the target first-level sub-repository, and extract the related content in each first-level auxiliary material; Build a query channel architecture based on all associated content parameters; The storage evaluation value of the first-level sub-storage repository is set according to the contents of the emergency plan in the target first-level sub-storage repository; The query parameters of the target first-level sub-repository are set according to the storage evaluation value.

5. The emergency plan management system for industrial production according to claim 4, characterized in that: The first monitoring module is also used for: Obtain the historical parameters of all auxiliary data and generate the monitoring evaluation value k based on the historical parameters; <h2 style=";text-align:left;direction:ltr">k=e1*Q1*[<h2 style=";text-align:left;direction:ltr"> <h2 style=";text-align:left;direction:ltr"> (ɑi*fi)]+e2*Q2*U; Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; ɑi is the influencing factor of the i-th auxiliary data; fi is the change frequency value of the i-th auxiliary data; U is the probability evaluation value of adding auxiliary data of different categories; The monitoring cycle duration t is set according to the monitoring evaluation value k.

6. The emergency plan management system for industrial production according to claim 5, characterized in that: When setting the monitoring cycle duration t, it includes: Preset a first monitoring evaluation value interval (K1, K2), a second monitoring evaluation value interval (K2, K3) and a third monitoring evaluation value interval (K3, K4); If the monitoring evaluation value k is in the preset first monitoring evaluation value interval, the monitoring cycle duration t is set to the preset first monitoring cycle duration T1, ie t = T1; If the monitoring evaluation value k is in the preset second monitoring evaluation value interval, the monitoring cycle length t is set to the preset second monitoring cycle length T2, ie t = T2; If the monitoring evaluation value k is in the preset third monitoring evaluation value interval, the monitoring cycle duration t is set to the preset third monitoring cycle duration T3, that is, t=T3; and T1>T2>T3.

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