An automated control method and system for sudden sensitivity information

Abstract

The present invention provides a method and system for automatic control of sensitive information, which relates to the field of intelligent control; it includes an automatic management center, and the automatic management center is communicatively connected to an information collection module, an automatic classification module, and a control module; the information collection module is used to obtain the sensitive information data integral according to the data node; the automatic classification module is used to automatically classify the data nodes according to the sensitive information data integral, generate a level abnormal data node, and further obtain a level management signal corresponding to the level abnormal data node; the automatic management center is used to obtain a level management request corresponding to the level management signal; the control module is used to process, review, and evaluate the level abnormal data node according to the level management request; improving the comprehensiveness of the sensitive information data collection and avoiding the omission and false reporting of sensitive information.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control and management, and specifically to a method and system for automatic control and management of sudden sensitive information. Background Art

[0002] The sudden sensitive information in coal mines mainly refers to the information of sudden increase in the content of harmful gases such as mine gas and carbon monoxide; the information of abnormal changes in environmental parameters such as mine temperature, humidity, and wind speed; and the production accident information such as equipment failures and abnormal technological processes.

[0003] In real life, the coal mine environment is complex. When collecting sudden sensitive information data, usually when using various sensors for collection, it will be affected by the environment and cannot accurately collect sudden sensitive information data. In the prior art, there are omissions and false alarms of sudden sensitive information in the automatic control and management of sudden sensitive information data in coal mines, and thus the sudden sensitive information cannot be automatically controlled and processed. Therefore, a method and system for automatic control and management of sudden sensitive information are provided. Summary of the Invention

[0004] In order to solve the above technical problems, the present invention provides a method and system for automatic control and management of sudden sensitive information.

[0005] The object of the present invention can be achieved by the following technical solutions: An automatic control and management system for sudden sensitive information includes an automatic management center, and the automatic management center is communicatively connected to an information collection module, an automatic classification module, and a control module.

[0006] The information collection module is provided with a plurality of blocks, and each block is correspondingly connected to a data node, and the data nodes are connected to each other to generate a data blockchain; the block is used to preset the collection directory of the corresponding data node within a specified time; the data node is used to collect the sudden sensitive information data of the coal mine according to the collection directory; the data node is provided with a data processing mechanism for processing the sudden sensitive information data according to the data processing mechanism to obtain the integral of the sudden sensitive information data.

[0007] The automatic classification module is used to automatically classify the data nodes according to the integral of the sudden sensitive information data to generate level abnormal data nodes, and then obtain the level management signal corresponding to the level abnormal data nodes.

[0008] The automatic management center is used to obtain the level management signal and send a corresponding level management request to the management module according to the level management signal.

[0009] The control module includes a receiving unit, a review unit, and an evaluation unit. The receiving unit is provided with hierarchical responsible terminal connection ports, which are used to receive level management requests, allocate level exception data nodes to hierarchical responsible terminals for processing according to the level management requests, and generate processing logs; the review unit is used to receive the processing logs, review the processing logs, and judge whether the processing is successful. If the processing is not successful, feedback logs are obtained and sent to the receiving unit; if successful, the processing logs are sent to the evaluation unit; the evaluation unit is used to receive the processing logs, evaluate the hierarchical person in charge corresponding to the hierarchical responsible terminal according to the processing logs, obtain historical evaluation data, and then optimize the allocation of the level management request according to the historical evaluation data.

[0010] Further, the process of presetting the block collection directory includes:

[0011] The collection directory includes a name sub-directory, a time sub-directory, and a location sub-directory;

[0012] The name sub-directory is used to preset the collection name corresponding to the collected sudden sensitivity information data; the time sub-directory is used to preset the collection start time and collection frequency within a specified time; the location sub-directory is used to preset the location information corresponding to the collected sudden sensitivity information data.

[0013] Further, the process of the data node collecting sudden sensitivity information data includes:

[0014] A number of sensors are set in the coal mine, the sensor positions corresponding to the sensors are obtained through GPS, and the sensors are generated into sensor nodes, and then connected to form a sensor network; the sensor network is wirelessly communicatively connected to the data blockchain;

[0015] The preset collection directory is stored in the corresponding block, and then the corresponding data node will obtain the location information according to the location sub-directory in the collection directory and send it to the sensor network, obtain the sensor node corresponding to the sensor position with the same location information in the sensor network, and then the data node will send the name sub-directory and time sub-directory in the collection directory to the corresponding sensor node. The sensor node obtains the collection name, collection start time, and collection frequency, and sends them to the sensor corresponding to the sensor node. Then the sensor automatically collects the sudden sensitivity information data corresponding to the collection name within the specified time according to the collection start time and collection frequency;

[0016] When the sensor completes the collection of sudden sensitivity information data according to the collection directory, it returns to the original state; then the collection directory can be preset again; and the collection directory after each completion is generated into a historical record and stored in the corresponding data node;

[0017] Send the collected sudden sensitivity information data to the corresponding data node for processing.

[0018] Furthermore, the process of obtaining the integral of the sudden sensitivity information data according to the data processing mechanism includes:

[0019] According to the collection start time and collection frequency, obtain the collection time points within the specified time, and correspond the collected sudden sensitivity information data to the collection time points;

[0020] Obtain the external environment data corresponding to the collection time points, and the external environment data includes environmental temperature, environmental humidity, environmental pressure, environmental light, and environmental electromagnetic field;

[0021] According to the external environment data, obtain the maximum influence value of the sudden sensitivity information data, that is:

[0022]

[0023] Among them, n represents the corresponding external environment data, t represents the collection time point, represents the total number of collection time points obtained according to the collection frequency f within the specified time T, δ t represents the maximum influence value generated by the external environment data at the collection time point, represents the external environment data at the collection time point, C n represents the influence factor corresponding to the external environment data, w i represents the corresponding weight.

[0024] Furthermore, according to the maximum influence value, obtain the error value range of the sudden sensitivity information data, that is:

[0025] R t -δ t ≤Δ≤R t +δ t ;

[0026] Among them, Δ represents the error value range and is marked as [R t -δ t ,R t +δ t , R t represents the preset standard sudden sensitivity information data at the collection time point;

[0027] Mark the sudden sensitivity information data corresponding to the collection time point as M t and compare it with the error value range to obtain the node integral corresponding to the data node;

[0028] If M t ∈[R t -δ t, R t +δ t , record the node integral corresponding to the acquisition time point as 0, and mark the corresponding acquisition time point as a normal acquisition time point;

[0029] If , record the node integral corresponding to the acquisition time point as 1, and mark the corresponding acquisition time point as an abnormal acquisition time point;

[0030] Add up the node integrals corresponding to all acquisition time points of the data node within the specified time to obtain the sensitivity information data integral corresponding to the data node.

[0031] Furthermore, the process of generating the level abnormal data node includes:

[0032] Set the sensitivity information data integral threshold corresponding to the data node, and compare it with the sensitivity information data integral corresponding to the data node;

[0033] When the sensitivity information data integral is greater than or equal to 90% of the sensitivity information data integral threshold, mark the corresponding data node as a first-class abnormal data node;

[0034] When the sensitivity information data integral is greater than 60% and less than 90% of the sensitivity information data integral threshold, mark the corresponding data node as a second-class abnormal data node;

[0035] When the sensitivity information data integral is less than or equal to 60% of the sensitivity information data integral threshold, mark the corresponding data node as a third-class abnormal data node;

[0036] Set the corresponding level management signal according to the level abnormal data node. The level management instruction includes a first-level management signal, a second-level management signal, and a third-level management signal; furthermore, the corresponding level management request includes a first-level management request, a second-level management request, and a third-level management request.

[0037] Furthermore, the process by which the receiving unit obtains the processing log includes:

[0038] If the receiving unit receives a first-level management request and a second-level management request, send the level management request to the corresponding hierarchical responsible terminal. The hierarchical person in charge corresponding to the hierarchical responsible terminal receives the corresponding level management request and obtains the corresponding level abnormal data node;

[0039] Furthermore, obtain the abnormal acquisition time points of the level abnormal data node within the specified time, check the sensitivity information data corresponding to the abnormal acquisition time points, obtain the location information corresponding to the location subdirectory in the acquisition directory, process the sensitivity information data according to the location information, and after completion of the processing, obtain the processing log;

[0040] The processing log includes the hierarchical responsible terminal code, the hierarchical person in charge, the number of processing times, the processing time, the location information, the collection name, and the corresponding sudden sensitivity information data;

[0041] If the receiving unit receives a three-level management request, it obtains the historical record corresponding to the data node, and checks the sudden sensitivity information data collected by the data node according to the historical record.

[0042] Further, the process of the auditing unit auditing the processing log includes:

[0043] Re-preset the collection directory according to the location information and the collection name in the processing log. The data node re-collects and processes according to the collection directory to obtain a hierarchical management request;

[0044] If the hierarchical management request is a first-level management request and a second-level management request, it means that the processing is unsuccessful, generates a feedback log, and re-sends the feedback log to the corresponding hierarchical person in charge according to the hierarchical responsible terminal code in the processing log for re-processing until the processing is successful; if the hierarchical management request is a three-level management request, it means that the processing is successful, and the processing log is sent to the evaluation unit;

[0045] The feedback log includes the audit time, the audit person in charge, and the audit result.

[0046] Further, it is characterized in that the method includes the following steps:

[0047] Step 1: Collect the sudden sensitivity information data of the coal mine through the data node, set up a data processing mechanism, and process the sudden sensitivity information data according to the data processing mechanism to obtain the integral of the sudden sensitivity information data;

[0048] Step 2: Automatically classify the data nodes according to the integral of the sudden sensitivity information data to generate a hierarchical abnormal data node, and then obtain the hierarchical management signal corresponding to the hierarchical abnormal data node;

[0049] Step 3: Process, audit, and evaluate the hierarchical abnormal data node according to the hierarchical management signal.

[0050] Compared with the prior art, the beneficial effects of the present invention are:

[0051] 1. Construct a data blockchain and a sensor node network, and establish a wireless communication connection. The sensor node network is wirelessly connected to sensors. According to the collection directory preset in advance in the data blockchain, send the collection directory to the sensor node network, and then schedule the corresponding sensors to collect data according to the collection directory. After the collection according to the collection directory is completed, the sensors return to the initial state. By using the collection directory to better preset the collection method of sensitive information data in advance, and collecting data through sensors by obtaining the collection directory, it avoids the inaccuracy and blindness of directly collecting sensitive information data by traditional sensors.

[0052] 2. Under normal circumstances, directly judge the collected sensitive information data as abnormal data without considering the error factors caused by external environment data. Therefore, it is impossible to accurately collect sensitive information data. However, in the present invention, external environment data is taken into account, the error value range of sensitive information data is obtained, and the sensitive information data is judged according to the error value range, which improves the accuracy of collecting sensitive information data.

[0053] 3. First, classify the abnormal data nodes by level, and generate corresponding management signals for the abnormal data nodes according to the level classification. Manage the abnormal data nodes according to the management signals. Secondly, sequentially check the sensitive information data corresponding to the collection time points in the data nodes to avoid missed reports and false reports of sensitive information in the automated control of sensitive information in coal mines. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required to be used in the embodiments. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained according to these drawings.

[0055] Figure 1 It is the schematic diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0056] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required to be used in the embodiments. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained according to these drawings.

[0057] As Figure 1 shown, a sensitive information automated control system includes an automated management center, and the automated management center is communicatively connected to an information collection module, an automatic classification module, and a control module;

[0058] The information collection module is provided with a number of blocks, and the blocks are correspondingly connected to data nodes, and the data nodes are interconnected to generate a data blockchain; the blocks are used to preset the collection directories of the corresponding data nodes within a specified time; the data nodes are used to collect the sudden sensitivity information data of the coal mine according to the collection directories; the data nodes are provided with a data processing mechanism for processing the sudden sensitivity information data according to the data processing mechanism to obtain the integral of the sudden sensitivity information data.

[0059] The process by which the block presets the collection directory of the corresponding data node within a specified time includes:

[0060] The collection directory includes a name sub-directory, a time sub-directory, and a location sub-directory;

[0061] The name sub-directory is used to preset the collection name corresponding to the collected sudden sensitivity information data; the time sub-directory is used to preset the collection start time and collection frequency within a specified time; the location sub-directory is used to preset the location information corresponding to the collected sudden sensitivity information data.

[0062] It should be further noted that in the specific implementation process, the collection directory can be preset and changed at any time.

[0063] The process by which the data node collects the sudden sensitivity information data of the coal mine according to the collection directory includes:

[0064] A number of sensors are set in the coal mine, the sensor positions corresponding to the sensors are obtained through GPS, and the sensors are generated into sensor nodes, and then connected to form a sensor network; the sensor network is wirelessly communicatively connected to the data blockchain;

[0065] The preset collection directory is stored in the corresponding block, and then the corresponding data node will obtain the location information according to the location sub-directory in the collection directory and send it to the sensor network, obtain the sensor node corresponding to the sensor location with the same location information in the sensor network, and then the data node will send the name sub-directory and time sub-directory in the collection directory to the corresponding sensor node. The sensor node obtains the collection name, collection start time, and collection frequency, and sends them to the sensor corresponding to the sensor node. Then the sensor automatically collects the sudden sensitivity information data corresponding to the collection name according to the collection start time and collection frequency within a specified time according to the collection name.

[0066] When the sensor completes the collection of the sudden sensitivity information data according to the collection directory, it returns to the original state; then the collection directory can be preset again; and the collection directory preset each time is generated into a historical record and stored in the corresponding data node.

[0067] The collected sudden sensitivity information data is sent to the sensor node corresponding to the sensor location, and then sent to the corresponding data node for processing.

[0068] In one embodiment, a data blockchain and a sensor node network are constructed and wirelessly connected. The sensor node network is wirelessly connected to sensors. According to the collection directory preset in advance in the data blockchain, the collection directory is sent to the sensor node network, and then the corresponding sensors are scheduled to collect according to the collection directory. After the collection is completed according to the collection directory, the sensors return to the initial state; by using the collection directory, a better way to preset the collection of sensitive information data in advance is adopted, and the sensors obtain the collection directory for collection, avoiding the inaccuracy and blindness of directly collecting sensitive information data by traditional sensors.

[0069] The setting process of the data processing mechanism includes:

[0070] According to the collection start time and collection frequency, obtain the collection time points within a specified time, and correspond the collected sensitive information data to the collection time points;

[0071] Obtain the external environment data corresponding to the collection time points, where the external environment data includes environmental temperature, environmental humidity, environmental pressure, environmental light, and environmental electromagnetic field;

[0072] According to the external environment data, obtain the maximum influence value of the sensitive information data;

[0073] That is, the specific formula is:

[0074]

[0075] Among them, n represents the corresponding external environment data, t represents the collection time point, represents the total number of collection time points obtained according to the collection frequency f within the specified time T, δ t represents the maximum influence value generated by the external environment data at the collection time point, represents the external environment data at the collection time point, C n represents the influence factor corresponding to the external environment data, w i represents the corresponding weight;

[0076] According to the maximum influence value, obtain the error value range of the sensitive information data, that is:

[0077] R t -δ t ≤Δ≤R t +δ t ;

[0078] Among them, Δ represents the error value range and is marked as [R t -δ t , Rt +δ t , R t is expressed as the standard sensitivity information data preset at the acquisition time point;

[0079] Mark the sensitivity information data corresponding to the acquisition time point as M t , and compare it with the error value range to obtain the node integral corresponding to the data node;

[0080] If M t ∈[R t -δ t , R t +δ t , then record the node integral corresponding to the acquisition time point as 0, and mark the corresponding acquisition time point as the normal acquisition time point;

[0081] If then record the node integral corresponding to the acquisition time point as 1, and mark the corresponding acquisition time point as the abnormal acquisition time point;

[0082] Add up the node integrals corresponding to all acquisition time points of the data node within the specified time to obtain the sensitivity information data integral corresponding to the data node;

[0083] It should be further noted that in the specific implementation process, usually the collected sensitivity information data is directly judged as abnormal data without considering the error factors caused by the external environment data. Therefore, the sensitivity information data cannot be accurately collected. Furthermore, the collected sensitivity information data is directly processed at the data node according to the data processing mechanism, taking into account the external environment data to accurately obtain the sensitivity information data.

[0084] The automatic classification module is used to automatically classify the data nodes according to the sensitivity information data integral, generate the level abnormal data nodes, and then obtain the level management signal corresponding to the level abnormal data nodes;

[0085] The process of generating the level abnormal data nodes includes:

[0086] Set the sensitivity information data integral threshold corresponding to the data node, compare it with the sensitivity information data integral corresponding to the data node, and then classify the data node by level;

[0087] When the sensitivity information data integral is greater than or equal to 90% of the sensitivity information data integral threshold, mark the corresponding data node as a first-class abnormal data node;

[0088] When the sensitivity information data integral is greater than 60% and less than 90% of the sensitivity information data integral threshold, mark the corresponding data node as a second-class abnormal data node;

[0089] When the integration of the sudden sensitivity information data is less than or equal to 60% of the sudden sensitivity information data integration threshold, the corresponding data node is marked as a third-class abnormal data node;

[0090] The level abnormal data nodes include first-class abnormal data nodes, second-class abnormal data nodes, and third-class abnormal data nodes;

[0091] Set corresponding level management signals according to the level abnormal data nodes. The level management instructions include first-level management signals, second-level management signals, and third-level management signals;

[0092] It should be further noted that in the specific implementation process, first, classify the abnormal data nodes by level, generate corresponding management signals for the abnormal data nodes according to the level classification; manage the abnormal data nodes according to the management signals. Secondly, sequentially check the sudden sensitivity information data corresponding to the acquisition time points in the data nodes to avoid missed reports and false reports of sudden sensitivity information in the automated control of sudden sensitivity information data in coal mines.

[0093] The shown automated management center is used to obtain the level management signal and send a corresponding level management request to the management module according to the level management signal;

[0094] The level management requests include first-level management requests, second-level management requests, and third-level management requests.

[0095] The control module includes a receiving unit, a review unit, and an evaluation unit. The receiving unit sets a hierarchical responsible terminal connection port, which is used to receive the level management request, and allocate the level abnormal data nodes to the hierarchical responsible terminal for processing according to the level management request, obtain the processing log and send it to the review unit; the review unit is used to receive the processing log and review the processing log to judge whether the processing is successful. If the processing is not successful, obtain the feedback log and send it to the receiving unit; if it is successful, send the processing log to the evaluation unit. The evaluation unit is used to receive the processing log, evaluate the hierarchical responsible person corresponding to the hierarchical responsible terminal according to the processing log, obtain the historical evaluation data, and then optimize the allocation of the level management request according to the historical evaluation data and the level management request;

[0096] The process by which the receiving unit obtains the processing log includes:

[0097] If the receiving unit receives a first-level management request and a second-level management request, send the level management request to the corresponding hierarchical responsible terminal. The hierarchical responsible person corresponding to the hierarchical responsible terminal receives the corresponding level management request and obtains the corresponding level abnormal data node;

[0098] The hierarchical person in charge corresponding to the hierarchical responsible terminal obtains the abnormal collection time point of the level abnormal data node within the specified time, checks the sudden sensitive information data corresponding to the abnormal collection time point, obtains the location information corresponding to the location sub-directory in the collection directory, processes the sudden sensitive information data according to the location information, and obtains the processing log after the processing is completed;

[0099] The processing log includes the level responsible terminal code, level person in charge, number of processing times, processing time, location information, collection name and corresponding sudden sensitive information data;

[0100] If the receiving unit receives a third-level management request, it obtains the corresponding data node, and then obtains the historical records stored in the corresponding data node, and checks the sudden sensitive information data collected by the data node according to the historical records.

[0101] The process of the audit unit auditing the processing log includes:

[0102] After receiving the processing log, the collection directory is reset according to the location information and collection name in the processing log. The data node re-collects and processes according to the collection directory to obtain the level management request.

[0103] If the hierarchical management request is a level 1 management request or a level 2 management request, it indicates that the processing is unsuccessful, and a feedback log is generated. According to the level responsible terminal code in the processing log, the feedback log is resent to the corresponding level person in charge for reprocessing until the processing is successful; if the hierarchical management request is a level 3 management request, it indicates that the processing is successful, and the processing log is sent to the evaluation unit;

[0104] The feedback log includes the audit time, the person in charge of the audit, and the audit results.

[0105] The process of obtaining historical evaluation data by the evaluation unit includes:

[0106] Receive the processing log, evaluate the level person in charge corresponding to the level terminal according to the number of processing times in the processing log, obtain historical evaluation data, and then optimize the allocation of level management requests based on the historical evaluation data and management requests.

[0107] In one embodiment, sudden information data is checked through abnormal data nodes to solve the problem of underreporting or error in sudden information data; sudden information data is processed and audited through a management module, and the sudden information data is processed in a timely manner to solve the dangers brought by the sudden information data; historical evaluation data is generated, and the sudden information data is processed in a targeted manner according to the historical evaluation data, thereby improving the processing speed.

[0108] The features and exemplary embodiments of various aspects of the present application will be described in detail below. To make the objectives, technical solutions, and advantages of the present application clearer and more understandable, the present application will be further described in detail below in combination with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, rather than to limit the present application. For those skilled in the art, the present application can be implemented without some of these specific details. The above description of the embodiments is only to provide a better understanding of the present application by showing examples of the present application.

[0109] The above embodiments are only used to illustrate the technical methods of the present invention rather than to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical methods of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A sudden information automation management and control system, including an automation management center, characterized in that: The automation management center is communicatively connected to an information collection module, an automatic classification module and a control module; The information collection module is provided with a plurality of blocks, each of which is connected to a data node, and the data nodes are connected to each other to generate a data blockchain; the block is used to preset a collection directory of the corresponding data node within a specified time; the data node is used to collect the sudden sensitive information data of the coal mine according to the collection directory; The data node is provided with a data processing mechanism, which is used to process the sudden sensitive information data according to the data processing mechanism to obtain the sudden sensitive information data points, including: According to the collection start time and collection frequency, the collection time point within the specified time is obtained, and the collected sudden sensitivity information data is matched with the collection time point; Acquire external environment data corresponding to the acquisition time point, wherein the external environment data includes ambient temperature, ambient humidity, ambient pressure, ambient light, and ambient electromagnetic field; According to the external environment data, the maximum impact value of the sudden information data is obtained, that is: Among them, n represents the corresponding external environment data, t represents the collection time point, It is expressed as the total number of acquisition time points obtained within the specified time T according to the acquisition frequency f, δ t It is expressed as the maximum impact value of the external environment data at the collection time point. Represents the external environment data at the time of collection, C n It is expressed as the impact factor corresponding to the external environment data, w i Expressed as The corresponding weights; According to the maximum impact value, the error range of the sudden information data is obtained, that is: R t -d t ≤Δ≤R t +d t ; Among them, Δ represents the error range and is marked as [R t -δ t , R t +δ t ], R t It is represented by the standard sudden sensitivity information data preset at the collection time point; The sudden information data corresponding to the collection time point is marked as M t , and compare it with the error value range to obtain the node integral corresponding to the data node; If M t ∈[R t -δ t , R t +δ t ], the node integral corresponding to the acquisition time point is recorded as 0, and the corresponding acquisition time point is marked as a normal acquisition time point; like The node integral corresponding to the collection time point is recorded as 1, and the corresponding collection time point is marked as an abnormal collection time point; Add up the node points corresponding to all the collection time points of the data node within the specified time to obtain the sudden information data points corresponding to the data node; The automatic classification module is used to automatically classify the data nodes according to the sudden sensitivity information data integration, generate the level abnormal data nodes, and then obtain the level management signal corresponding to the level abnormal data nodes; The automation management center is used to obtain the grade management signal and send a corresponding grade management request to the management module according to the grade management signal; The management and control module includes a receiving unit, an audit unit and an evaluation unit. The receiving unit is provided with a level responsible terminal connection port, which is used to receive a level management request, and allocate the level abnormality data node to the level responsible terminal for processing according to the level management request, and generate a processing log; the audit unit is used to receive the processing log, and audit the processing log to determine whether the processing is successful. If the processing is unsuccessful, the feedback log is obtained and sent to the receiving unit; if the processing is successful, the processing log is sent to the evaluation unit; the evaluation unit is used to receive the processing log, evaluate the level person in charge corresponding to the level responsible terminal according to the processing log, obtain historical evaluation data, and then optimize the allocation of the level management request according to the historical evaluation data.

2. According to claim 1, the automatic control system for sudden sensitive information is characterized in that: The process of presetting the collection directory of the block includes: The collection directory includes a name subdirectory, a time subdirectory and a location subdirectory; The name subdirectory is used to preset the collection name corresponding to the collected sudden information data; the time subdirectory is used to preset the collection start time and collection frequency within the specified time; and the location subdirectory is used to preset the location information corresponding to the collected sudden information data.

3. The sudden information automatic control system according to claim 2 is characterized in that: The process of collecting sudden information data by the data node includes: A number of sensors are set up in the coal mine, the sensor positions corresponding to the sensors are obtained through GPS, and the sensors are generated into sensor nodes, which are then connected to generate a sensor network; the sensor network is wirelessly connected to the data blockchain; The preset completed collection directory is stored in the corresponding block, and then the corresponding connected data node obtains the location information according to the location subdirectory in the collection directory and sends it to the sensor network, and obtains the sensor node corresponding to the sensor position with the same location information in the sensor network, and then the data node sends the name subdirectory and time subdirectory in the collection directory to the corresponding sensor node, the sensor node obtains the collection name, collection start time and collection frequency, and sends them to the sensor corresponding to the sensor node, and then the sensor automatically collects the sudden sensitive information data corresponding to the collection name according to the collection start time and collection frequency within the specified time according to the collection name; When the sensor completes the collection of sudden information data according to the collection directory, it will be restored to the original state; then the collection directory can be reset; and the collection directory generation history after each completion will be stored in the corresponding data node; The collected sudden information data is sent to the corresponding data node for processing.

4. According to claim 1, the automatic control system for sudden information is characterized in that: The process of generating a level abnormal data node includes: Set the sudden information data integral threshold corresponding to the data node, and compare it with the sudden information data integral corresponding to the data node; When the sudden information data integral is greater than or equal to 90% of the sudden information data integral threshold, the corresponding data node is marked as a first-class abnormal data node; When the sudden sensitive information data integral is greater than 60% of the sudden sensitive information data integral threshold and less than 90%, the corresponding data node is marked as a second-class abnormal data node; When the sudden information data integral is less than or equal to 60% of the sudden information data integral threshold, the corresponding data node is marked as a third-class abnormal data node; The corresponding level management signal is set according to the level abnormal data node, and the level management instruction includes a first-level management signal, a second-level management signal and a third-level management signal; and the corresponding level management request includes a first-level management request, a second-level management request and a third-level management request.

5. The sudden information automatic control system according to claim 4 is characterized in that: The process of the receiving unit obtaining the processing log includes: If the receiving unit receives the first-level management request and the second-level management request, the level management request is sent to the corresponding level responsible terminal, and the level person in charge corresponding to the level responsible terminal receives the corresponding level management request and obtains the corresponding level abnormal data node; Then, the abnormal collection time point of the level abnormal data node within the specified time is obtained, the sudden sensitive information data corresponding to the abnormal collection time point is checked, the location information corresponding to the location sub-directory in the collection directory is obtained, and the sudden sensitive information data is processed according to the location information. After the processing is completed, the processing log is obtained; The processing log includes the level responsible terminal code, level person in charge, number of processing times, processing time, location information, collection name and corresponding sudden sensitive information data; If the receiving unit receives a third-level management request, it obtains the historical records corresponding to the data node and checks the sudden sensitive information data collected by the data node according to the historical records.

6. The sudden information automatic control system according to claim 1 is characterized in that: The process of the audit unit auditing the processing log includes: The collection directory is reset according to the location information and collection name in the processing log, and the data node re-collects and processes according to the collection directory to obtain the level management request; If the hierarchical management request is a level 1 management request or a level 2 management request, it indicates that the processing is unsuccessful, and a feedback log is generated. According to the level responsible terminal code in the processing log, the feedback log is resent to the corresponding level person in charge for reprocessing until the processing is successful; if the hierarchical management request is a level 3 management request, it indicates that the processing is successful, and the processing log is sent to the evaluation unit; The feedback log includes the audit time, the person in charge of the audit, and the audit results.

7. A control method for a sudden information automatic control system according to any one of claims 1 to 6, characterized in that: The method comprises the following steps: Step 1: Collect the sudden information data of the coal mine through the data node, set up the data processing mechanism, process the sudden information data according to the data processing mechanism, and obtain the sudden information data points; Step 2: Automatically classify the data nodes according to the sudden information data points, generate level abnormal data nodes, and then obtain the level management request corresponding to the level abnormal data nodes; Step 3: Process, review and evaluate the abnormal level data nodes according to the level management request.

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