CN115409375A - Security accident monitoring method, device, equipment and readable storage medium - Google Patents

Abstract

The application provides a safety accident monitoring method, a safety accident monitoring device, a safety accident monitoring equipment and a readable storage medium, wherein first target data uploaded to a server by a target enterprise can be obtained, and each data parameter in the first target data can be analyzed according to the grade coefficient of each work task to obtain the analysis result of each data parameter; determining a production safety risk coefficient of a target enterprise according to the analysis result of each data parameter; judging whether the target enterprise meets preset early warning conditions or not according to the production safety risk coefficient of the target enterprise; and if so, sending an early warning signal corresponding to the production safety risk coefficient of the target enterprise to the target enterprise. According to the method and the device, potential safety accidents can be found and early warning signals can be sent out in time by analyzing the data of the relevant production safety of the target enterprise, the occurrence of the safety accidents can be restrained, the economic benefits of the target enterprise can be protected, and unnecessary loss can be reduced.

Description

Safety accident monitoring method, device, equipment and readable storage medium

technical field

The present application relates to the technical field of safety management, and in particular to a safety accident monitoring method, device, equipment and readable storage medium.

Background technique

With the development of science and technology, the productivity of many enterprises has gradually increased. After the production level of enterprises has increased, the requirements of enterprises for their own production safety have gradually increased.

In the production process, in order to further improve the investigation of production safety hazards and prevent production safety accidents, many enterprises gradually pay attention to production safety, and gradually establish a standardized management system for safety production, as well as safety risk control and hidden danger investigation and governance, emergency management, Incident Management System. However, at present, the production safety management system of many enterprises is not yet mature, and the potential safety hazards of enterprises cannot be discovered in time to prevent safety accidents. Therefore, it is necessary to monitor the actual production safety situation of the enterprise in real time, so as to help the enterprise discover possible safety hazards and safety production accidents in time, and help the enterprise to deal with potential safety hazards and safety production accidents in a timely manner.

Contents of the invention

The present application aims to solve at least one of the above-mentioned technical defects. In view of this, the present application provides a safety accident monitoring method, device, equipment and readable storage medium, which are used to solve the safety accident monitoring technology in the prior art defect.

A security incident monitoring method, comprising:

Obtain the first target data uploaded to the server by the target enterprise, the first target data includes a plurality of data parameters, each data parameter is a parameter of a work task corresponding to each production safety index that has been set, each of the The production safety index corresponds to at least one work task;

Analyzing each data parameter in the first target data according to the grade coefficient of each of the work tasks to obtain an analysis result of each of the data parameters;

Determine the production safety risk factor of the target enterprise based on the analysis results of each of the data parameters;

According to the production safety risk factor of the target enterprise, determine whether the target enterprise meets the preset early warning conditions;

If the target enterprise satisfies the preset early warning condition, an early warning signal corresponding to the production safety risk factor of the target enterprise is sent to the target enterprise.

Preferably, the determination of the production safety risk factor of the target enterprise based on the analysis results of each of the data parameters includes:

According to the analysis results of each of the data parameters, scoring the work tasks to which each of the data parameters belongs, and obtaining the scoring results of the work tasks corresponding to each of the set production safety indicators;

Perform weighted calculation on the scoring results of each work task corresponding to each of the production safety indicators to obtain the scoring results of each of the production safety indicators;

Based on the scoring results of each of the production safety indicators, weighted calculations are performed on the risk coefficients of each of the production safety indicators of the target enterprise to obtain the production safety risk coefficient of the target enterprise.

Preferably, the method also includes:

Obtaining the first monitoring data of the monitoring equipment of the target enterprise in real time, wherein the first monitoring data includes monitoring data of the actual production situation of the target enterprise;

judging whether the first monitoring data includes security incident data related to the target enterprise;

If it is determined that the first monitoring data includes security accident data related to the target enterprise, it is determined that a security accident has occurred in the target enterprise, and the map data of the geographical location of the target enterprise is obtained, and the first monitoring The data is analyzed to obtain the accident analysis result of the target enterprise, wherein the accident analysis result of the target enterprise includes the accident type and the scope of the accident of the target enterprise.

Preferably, the method also includes:

determining the risk factor of the target enterprise based on the accident analysis results of the target enterprise;

According to the risk factor of the target enterprise, the accident analysis results of the target enterprise and the map data of the geographical location of the target enterprise, send a report to the target enterprise, the rescue unit where the target enterprise is located, and the department to which the target enterprise belongs. The relevant supervisory department sends an early warning signal corresponding to the risk factor of the target enterprise.

Preferably, the judging whether the first monitoring data includes security incident data related to the target enterprise includes:

If the first monitoring data shows that the temperature, humidity or pressure value of the target enterprise exceeds the corresponding safety threshold, it is determined that the first monitoring data includes security accident data related to the target enterprise;

and / or,

If the first monitoring data includes alarm signal data of the target enterprise, it is determined that the first monitoring data includes security incident data related to the target enterprise.

Preferably, the analysis of the first monitoring data to obtain the accident analysis result of the target enterprise includes:

Analyzing the first monitoring data to determine the accident type of the target enterprise;

According to the accident type of the target enterprise, determine the scope of the accident of the target enterprise, and use the accident type and the scope of the accident of the target enterprise as the accident analysis result of the target enterprise.

Preferably, according to the production safety risk factor of the target enterprise, judging whether the target enterprise meets the preset early warning conditions includes:

According to the production safety risk factor of the target enterprise and the preset risk warning signal relationship table, it is judged whether the production safety risk factor of the target company reaches the lowest risk level corresponding to the risk warning signal in the preset risk warning signal relationship table. risk factor;

If yes, it is determined that the target enterprise satisfies a preset early warning condition.

A safety incident monitoring device, comprising:

The first data acquisition unit is used to acquire the first target data uploaded by the target enterprise to the server, the first target data includes a plurality of data parameters, and each data parameter corresponds to the work corresponding to each production safety index that has been set Task parameters, each of the production safety indicators corresponds to at least one work task;

An analysis unit, configured to analyze each data parameter in the first target data according to the grade coefficient of each of the work tasks, and obtain an analysis result of each of the data parameters;

The first safety factor determining unit is configured to determine the production safety risk factor of the target enterprise according to the analysis results of each of the data parameters;

The first judging unit is used to judge whether the target enterprise satisfies the preset early warning condition according to the production safety risk factor of the target enterprise;

The first early warning unit is configured to send an early warning corresponding to the production safety risk factor of the target company to the target company when the execution result of the first judging unit is determined to be that the target company meets the preset early warning conditions Signal.

A security incident monitoring device, comprising:

one or more processors, and memory;

Computer-readable instructions are stored in the memory, and when the computer-readable instructions are executed by the one or more processors, the steps of the security incident monitoring method described in any one of the foregoing introductions are realized.

A readable storage medium, where computer-readable instructions are stored in the readable storage medium, and when the computer-readable instructions are executed by one or more processors, one or more processors can realize any of the above-mentioned introductions. A step of the security incident monitoring method.

It can be seen from the above technical solutions that the method provided in the embodiment of the present application can obtain the first target data uploaded by the target enterprise to the server, wherein the first target data includes a plurality of data parameters, and each data parameter is a set The parameters of the work tasks corresponding to each production safety index determined, each of the production safety indicators corresponds to at least one work task; each work task is provided with a different grade coefficient, by analyzing the data parameters corresponding to each work task, it can be Knowing the situation of each work task, therefore, according to the grade coefficient of each work task, each data parameter in the first target data can be analyzed, thus the analysis result of each data parameter can be obtained ; After obtaining the analysis results of each of the data parameters, the production safety risk coefficient of the target enterprise can be determined further based on the analysis results of each of the data parameters; the production safety risk coefficients of different levels reflect the target The production safety situation of different levels of enterprises. In the actual application process, when the production safety risk factor of the target enterprise reaches a certain level, an early warning signal needs to be issued. Therefore, after obtaining the production safety risk coefficient of the target enterprise, it is possible to judge whether the target enterprise satisfies the preset early warning condition according to the production safety risk coefficient of the target enterprise; conditions, an early warning signal corresponding to the production safety risk factor of the target enterprise may be sent to the target enterprise.

The method provided in the embodiment of the present application can find potential safety accidents and send early warning signals in time by analyzing the relevant production safety data of the target enterprise, which helps to curb the occurrence of safety accidents, helps protect the economic interests of the target enterprise, and reduces unnecessary loss.

Description of drawings

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 that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present application. Those skilled in the art can also obtain other drawings based on these drawings without any creative effort.

FIG. 1 is a flowchart of a method for realizing safety accident monitoring provided by an embodiment of the present application;

FIG. 2 is a schematic structural diagram of a safety accident monitoring device example in an embodiment of the present application;

FIG. 3 is a block diagram of a hardware structure of a security incident monitoring device disclosed in an embodiment of the present application.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

In view of the fact that most of the current security incident monitoring schemes are difficult to adapt to complex and changeable business types, the applicant has studied a security incident monitoring scheme. This application can find potential safety accidents and send early warning signals in time by analyzing the relevant production safety data of the target enterprise, which will help to curb the occurrence of safety accidents, help protect the economic interests of the target enterprise, and reduce unnecessary losses.

The methods provided by the embodiments of the present application can be used in many general-purpose or special-purpose computing device environments or configurations. For example: personal computer, server computer, handheld or portable device, tablet type device, multiprocessor device, distributed computing environment including any of the above devices or devices, etc.

The embodiment of the present application provides a production safety monitoring method, which can be applied to various monitoring systems, and can also be applied to various computer terminals or smart terminals, and the execution subject can be the processing of the computer terminal or smart terminal device or server.

Below in conjunction with Fig. 1, introduce the flow of the security incident monitoring method that the embodiment of the present application provides, this flow may include the following several steps:

Step S101, obtain the first target data uploaded by the target enterprise to the server, the first target data includes a plurality of data parameters, each data parameter is a parameter of a work task corresponding to each production safety index that has been set, and each Each of the production safety indicators corresponds to at least one work task.

Specifically, in an actual application process, an enterprise generally uploads some enterprise-related data to a server for backup and storage on a regular basis. In order to analyze the production and operation of the enterprise according to the data saved in the backup. The backup data stored in the server by the enterprise can feed back the relevant situation of the enterprise. The backup data uploaded by the enterprise to the server may include data of various information.

For example, the data uploaded by the enterprise to the server may include data related to the production safety of the enterprise, business data related to the enterprise's sales, and data related to the enterprise's tax declaration.

Therefore, if you want to understand the production safety status of the enterprise, you can obtain the backup data stored in the server by the enterprise to analyze the production safety status of the enterprise. Wherein, the first target data may include multiple pieces of data. The first target data includes a plurality of data parameters, each data parameter is a parameter of a set work task corresponding to each production safety index, and each production safety index corresponds to at least one work task. For example, the first target data may include data related to production safety of the target company, data related to sales of the target company, data related to tax declaration of the target company, and the like.

Step S102 , analyzing each data parameter in the first target data according to the grade coefficient of each of the work tasks, and obtaining an analysis result of each of the data parameters.

Specifically, in the actual application process, the industries mentioned by the target enterprises are different, and the work tasks to be completed will also be different, and because the content of each work task is different, the importance of each work task will also be different, so , different work tasks correspond to different grade coefficients, and the grade coefficient of a work task represents the importance of the work task. The higher the rank coefficient of a job task, the more important it is to characterize the job task.

For example, work tasks can be divided into critical tasks and non-critical tasks according to their importance.

Key tasks can represent tasks that must be completed for the enterprise to do a good job in production safety management, for example, equipped with fire extinguishing facilities.

Non-critical tasks can represent tasks that can be selectively completed for the enterprise to do a good job in production safety management, for example, to carry out production safety lectures.

The work tasks corresponding to each production safety index of the target enterprise will also be different.

Therefore, by analyzing each of the work tasks, the situation of each data parameter in the first target data can be known. Therefore, each data parameter in the first target data can be analyzed according to the grade coefficient of each of the work tasks, and the analysis result of each of the data parameters can be obtained, so that it can be used to analyze the target enterprise. production safety.

Step S103, according to the analysis results of each of the data parameters, determine the production safety risk factor of the target enterprise.

Specifically, it can be seen from the above introduction that the method provided in the embodiment of the present application can determine the analysis result of each data parameter by analyzing each data parameter in the first target data.

Since each data parameter corresponds to a work task, each production safety index corresponds to at least one work task.

Therefore, after the analysis result of each data parameter is obtained, the production safety risk factor of the target enterprise can be determined according to the analysis result of each data parameter. In order to determine whether it is necessary to give an early warning to the production safety status of the target enterprise through the production safety risk factor of the target enterprise.

Step S104, according to the production safety risk factor of the target enterprise, it is judged whether the target enterprise satisfies the preset warning condition.

Specifically, in the actual application process, different production safety risk factors represent different levels of risk in the enterprise. Different levels of danger correspond to different early warning signals.

For example, it can be set that the higher the production safety risk factor, the higher the level of the corresponding early warning signal.

For different production safety risk factors, different levels of early warning signals are set. In the actual application process, not all levels of production safety risk factors will be given early warning. Generally speaking, when the production safety risk factor of an enterprise reaches the preset When the early warning condition is used, it means that the current production safety situation of the enterprise may lead to safety accidents, and early warning is required. To remind enterprises to carry out rectification or rescue.

Therefore, after determining the production safety risk factor of the target enterprise, it can be judged whether the target enterprise satisfies the preset early warning condition according to the production safety risk factor of the target enterprise. If the target enterprise satisfies the preset warning condition, step S105 may be executed.

Step S105, sending an early warning signal corresponding to the production safety risk factor of the target enterprise to the target enterprise.

Specifically, it can be seen from the above introduction that the method provided by the embodiment of the present application can judge whether the target enterprise meets the preset early warning conditions based on the production safety risk factor of the target enterprise, and if it is determined that the target enterprise meets the preset The early warning condition indicates that the current production safety situation of the enterprise may cause a safety accident, and if an early warning is required, an early warning signal corresponding to the production safety risk factor of the target enterprise may be sent to the target enterprise.

From the technical solutions introduced above, it can be seen that the method provided by the embodiment of the present application can find potential safety accidents and issue early warning signals in time by analyzing the relevant production safety data of the target enterprise, which is helpful to curb the occurrence of safety accidents and contribute to Protect the economic interests of the target enterprise and reduce unnecessary losses.

It can be seen from the above introduction that the method provided in the embodiment of the present application can determine the production safety risk factor of the target enterprise based on the analysis results of each of the data parameters. Next, this process will be introduced. This process may include the following steps:

Step S201, according to the analysis results of each of the data parameters, scoring the work tasks to which each of the data parameters belongs, and obtaining the scoring results of the work tasks corresponding to each of the set production safety indicators.

Specifically, it can be seen from the above introduction that the method provided in the embodiment of the present application can determine the analysis result of each of the data parameters, each of the data parameters corresponds to a work task, each work task corresponds to a production safety index, and a Production safety indicators include at least one work task. In order to better understand the completion of the work tasks corresponding to each production safety index of the target enterprise, and to better characterize the completion of the work tasks corresponding to each of the data parameters, according to the Analyzing the results, scoring the work tasks to which each of the data parameters belongs, and obtaining the scoring results of the work tasks corresponding to each of the set production safety indicators.

Wherein, there are different ways of assigning points to completed work tasks and to assign points to unfinished work tasks.

Acquiring the set scoring results of the work tasks corresponding to each of the production safety indicators, so that the scoring results of each of the production safety indicators can be determined according to the scoring results of the work tasks corresponding to each of the production safety indicators.

Step S202, performing weighted calculation on the scoring results of each work task corresponding to each of the production safety indicators, to obtain the scoring results of each of the production safety indicators.

Specifically, it can be seen from the above introduction that the method provided by the embodiment of the present application can obtain the scoring result of the work task corresponding to each of the set production safety indicators.

It can be seen from the above introduction that each of the production safety indicators includes at least one work task. If it is necessary to determine the completion of the work tasks required by each of the production safety indicators, the corresponding production safety indicators of each of the production safety indicators can be The scoring results of each work task are weighted and calculated to obtain the scoring results of each of the production safety indicators.

Step S203, according to the scoring results of each of the production safety indicators, perform weighted calculation on the risk coefficients of the production safety indicators of the target enterprise to obtain the production safety risk coefficient of the target enterprise.

Specifically, it can be seen from the above introduction that the method provided in the embodiment of the present application can determine the scoring result of each of the production safety indicators, and the scoring results of the production safety indicators represent the completion of the work tasks corresponding to the production safety indicators .

Therefore, after determining the scoring results of each of the production safety indicators, weighted calculations can be performed on the risk coefficients of the production safety indicators of the target enterprise based on the scoring results of each of the production safety indicators to obtain the Production safety risk factor.

From the technical solution introduced above, it can be seen that the method provided in the embodiment of the present application can determine the production safety risk factor of the target enterprise based on the analysis results of each of the data parameters, so that the production safety risk factor of the target enterprise can be determined to determine whether it is necessary to give an early warning to the production safety status of the target enterprise.

In the actual application process, when a security incident occurs in an enterprise, the method provided by the embodiment of the present application can also monitor the real-time security incident of the target enterprise. Next, the process will be introduced. This process may include the following steps:

Step S301, acquiring first monitoring data of the monitoring equipment of the target enterprise in real time, wherein the first monitoring data includes monitoring data of actual production conditions of the target enterprise.

Specifically, in the actual application process, in order to ensure the safety of the enterprise during daily management, the enterprise generally installs some monitoring equipment. The monitoring equipment can collect and save data related to the daily operation of the enterprise in real time. Therefore, the method provided in the embodiment of the present application can also obtain the first monitoring data of the monitoring equipment of the target enterprise in real time, wherein the first monitoring data may include the monitoring data of the actual production situation of the target enterprise.

The timeliness of the data of the monitoring equipment is good. When a security incident occurs in the target enterprise, the security incident occurred in the target enterprise can be discovered in time by analyzing the first monitoring data of the monitoring equipment of the target enterprise.

For example, by monitoring camera equipment or related sensors, such as temperature control alarms and dangerous goods leakage alarms, the production site of the enterprise can be monitored in real time. When the safety threshold of the equipment is reached, the sensor interlock control system can send out an early warning signal.

In the actual application process, when safety accidents such as fire, dangerous goods leakage, and explosion occur in the enterprise, poisoning and suffocation may also be caused, and the production environment parameters of the enterprise may reach the early warning conditions. It can be found whether a security incident has occurred in the enterprise.

Step S302, judging whether the first monitoring data includes security incident data related to the target enterprise.

Specifically, it can be seen from the above introduction that by analyzing the first monitoring data of the monitoring equipment of the target enterprise, the security incidents that have occurred can be discovered in time. Therefore, after the first monitoring data is acquired, it may be determined whether the first monitoring data includes security incident data related to the target enterprise. If it is determined that the first monitoring data includes security incident data related to the target company, it means that a security incident has occurred in the target company, the security incident needs to be dealt with in time, and the target company may need rescue.

Step S303, determining that a security accident has occurred in the target enterprise, obtaining map data of the geographic location of the target enterprise, and analyzing the first monitoring data to obtain an accident analysis result of the target enterprise, wherein the The accident analysis result of the target enterprise includes the accident type and the scope of the accident of the target enterprise.

Specifically, it can be seen from the above introduction that the method provided by the embodiment of the present application can judge whether the first monitoring data includes security incident data related to the target enterprise, and if it is determined that the first monitoring data includes security incident data related to the target enterprise The relevant security incident data indicates that a security incident has occurred in the target company, and the security incident needs to be dealt with in time, and the target company may need rescue.

However, different accidents may cause different losses and affected areas.

For example, the injuries caused by fire accidents, chemical spill accidents, and explosion accidents are different and the geographic scope of the impact is different.

Therefore, after it is determined that a safety accident has occurred in the target enterprise, the map data of the geographical location of the target enterprise can be obtained, and the first monitoring data can be analyzed to obtain the accident analysis result of the target enterprise, wherein, The accident analysis result of the target enterprise may include the accident type and the scope of the accident of the target enterprise.

When it is determined that a safety accident has occurred in the target enterprise, determining the type of the accident and the scope of the accident in the target enterprise can help to carry out rescue work in a timely manner.

E.g,

If the safety accident occurred in the target enterprise is a fire accident involving dangerous chemicals, the center of the geographical location where the fire accident occurred in the target enterprise is taken as the center, and the range with a radius of 50 meters may be the target The scope of fire accidents in enterprises.

If the safety accident occurred in the target enterprise is a fire accident involving dangerous chemicals, the center of the geographical location where the fire accident occurred in the target enterprise is taken as the center, and the range with a radius of 25 meters may be the target The scope of fire accidents in enterprises.

If the safety accident occurred in the target enterprise is an explosion accident involving dangerous chemicals, the center of the geographical location where the fire accident occurred in the target enterprise is the center of the circle, and the first range involved is the target enterprise The scope of the security incidents that occurred.

Wherein, the first range can be calculated with reference to the preset formula for calculating the impact range of an explosion accident:

in,

in,

R ₁ can represent the radius of the range of influence caused by explosives;

W _TNT can represent TNT equivalent, the unit is kilogram;

η can represent the explosion efficiency of combustible vapor cloud, where the explosion efficiency of combustible vapor cloud is affected by factors such as the wind direction in the explosion situation, the obstacles around the explosion point, the temperature and pressure conditions during the explosion, the activity of the explosive substance itself, and the shape and size of the vapor cloud , the variability is large, and the value range can be [0.1%, 10%];

W can represent the amount of explosive leakage in the vapor cloud in the explosion range, in kilograms;

H _h can represent the high calorific value of explosives, the unit is kJ/kg;

H _TNT can represent the detonation heat value of TNT, the unit is kJ/kg.

If the safety accident occurred in the target enterprise is an explosion accident involving dangerous chemicals, the center of the geographical location where the fire accident occurred in the target enterprise is the center of the circle, and the second range involved is the target enterprise The scope of the security incidents that occurred.

Wherein, the second range can be calculated with reference to the preset impact range of chemical leakage accidents:

in,

C(x,y,z) can represent the mass concentration of the leaked substance at the coordinates (x,y,z), the unit is kg/m ³ , where x can represent the distance in the downwind direction, and y can represent the distance in the cross-sectional wind direction , z can represent the vertical distance from the ground;

Q _m can represent the leakage rate of the leakage source, the unit is kg/s;

u can represent the average wind speed at the leakage height;

σ _y can be expressed as the diffusion parameter of the leak in the lateral wind direction;

σ _z can be expressed as the diffusion parameter of the leak in the downwind direction;

H may represent the effective height of the leak source.

From the technical solution introduced above, it can be seen that the method provided by the embodiment of the present application can obtain the first monitoring data of the monitoring equipment of the target enterprise in real time, and analyze the first monitoring data to determine whether a safety accident has occurred in the target enterprise , after it is determined that a safety accident has occurred in the target enterprise, the type of accident and the scope of the accident of the target enterprise may be further determined by analyzing the first monitoring data, so that rescue work can be launched in time.

It can be seen from the above introduction that after determining that a safety accident has occurred in the target enterprise, the method provided in the embodiment of the present application can determine the type of accident occurred in the target enterprise and the scope of the impact. In the actual application process, when determining the target enterprise After the accident type and the scope of the accident occurred in the enterprise, the method provided by the embodiment of the present application may also include determining the risk factor of the target enterprise, and giving an early warning according to the risk factor of the target enterprise. Next, this process will be introduced. The process can include the following steps:

Step S401, determining the risk factor of the target enterprise according to the accident analysis result of the target enterprise.

Specifically, it can be seen from the above introduction that the method provided in the embodiment of the present application can determine the accident analysis result of the target enterprise.

The accident analysis result of the target enterprise may include the accident type and the scope of the accident of the target enterprise.

Different types of accidents and different accident-affected areas correspond to different risk factors.

Therefore, after the accident analysis result of the target enterprise is determined, the risk factor of the target enterprise can be determined according to the accident analysis result of the target enterprise.

For example, according to the accident type and the scope of the accident of the target enterprise, the risk factor of the current safety accident of the target enterprise may be determined.

Step S402, according to the risk factor of the target company, the accident analysis results of the target company and the map data of the geographical location of the target company, send a report to the target company, the rescue unit where the target company is located, and the target company. The relevant supervisory department to which the enterprise belongs sends an early warning signal corresponding to the risk factor of the target enterprise.

Specifically, it can be seen from the above introduction that the method provided in the embodiment of the present application can determine the risk factor of the target company based on the accident analysis results of the target company, and the early warning signals corresponding to different levels of risk factors are different, and the required rescue force Also different.

Therefore, after the risk coefficient of the target enterprise is determined, the target enterprise and the target enterprise can be sent to The rescue unit where the target enterprise is located and the relevant regulatory department to which the target enterprise belongs send an early warning signal corresponding to the risk factor of the target enterprise.

It can be seen from the technical solutions introduced above that the method provided in the embodiment of the present application can provide the target enterprise with the risk coefficient, the accident analysis result of the target enterprise and the map data of the geographical location of the target enterprise. . The rescue unit where the target enterprise is located and the relevant regulatory department to which the target enterprise belongs send an early warning signal corresponding to the risk factor of the target enterprise, so that rescue work can be launched in time to reduce economic losses.

From the above introduction, it can be seen that the method provided by the embodiment of the present application can judge whether the first monitoring data includes security incident data related to the target enterprise, and then introduces judging whether the first monitoring data includes security incident data related to the target enterprise. There are several ways to realize relevant security incident data, specifically as follows:

The first,

If it is determined that the first monitoring data shows that the temperature, humidity or pressure value of the target enterprise exceeds the corresponding safety threshold, then it is determined that the first monitoring data includes safety accident data related to the target enterprise;

Second, if it is determined that the first monitoring data includes alarm signal data of the target enterprise, then it is determined that the first monitoring data includes security incident data related to the target enterprise.

The third type,

If it is determined that the first monitoring data shows that the temperature, humidity or pressure value of the target enterprise exceeds the corresponding safety threshold, and the first monitoring data includes alarm signal data of the target enterprise, then determine the second A monitoring data includes security incident data related to the target enterprise.

From the technical solution introduced above, it can be seen that the method provided by the embodiment of the present application can judge that the temperature, humidity or pressure value of the target enterprise shown in the first monitoring data exceeds the corresponding safety threshold, and the Include the alarm signal data of the target company to determine whether the first monitoring data includes security incident data related to the target company, so as to determine whether a security incident has occurred in the target company, so as to provide timely early warning and Start rescue work.

It can be seen from the technical solution introduced above that the method provided by the embodiment of the present application can analyze the first monitoring data to obtain the accident analysis result of the target enterprise. Next, this process will be introduced, which may include the following steps :

Step S501, analyzing the first monitoring data to determine the accident type of the target enterprise.

Specifically, it can be seen from the above introduction that the method provided in the embodiment of the present application can obtain the first monitoring data, and the first monitoring data can include the actual operating conditions of the target enterprise. If a security incident occurs in the target enterprise , the first monitoring data may include data on security incidents related to the target enterprise.

By analyzing the first monitoring data, it is possible to understand the relevant situation of the security incidents that occurred in the target enterprise. The first monitoring data may include the types of security incidents that occurred in the target company and the scope that may be affected.

Therefore, after the first monitoring data is obtained, the first monitoring data can be analyzed to determine the accident type of the target enterprise.

Step S502, according to the accident type of the target enterprise, determine the accident scope of the target enterprise, and use the accident type and accident influence scope of the target enterprise as the accident analysis result of the target enterprise.

Specifically, it can be seen from the above introduction that the method provided by the embodiment of the present application can determine the accident type of the target enterprise by analyzing the first monitoring data, and the scope of different types of accidents is different. Therefore, when determining After the accident type of the target enterprise, the accident impact range of the target enterprise can be determined according to the accident type of the target enterprise, and the accident type and accident impact range of the target enterprise can be used as the accident analysis of the target enterprise result.

It can be seen from the technical solution introduced above that the method provided in the embodiment of the present application can analyze the first monitoring data to determine the accident type of the target enterprise. After the accident type of the target enterprise is determined, the accident impact range of the target enterprise can be determined according to the accident type of the target enterprise, and the accident type and accident impact range of the target enterprise can be used as the target enterprise's accident type. The results of the accident analysis. So that the risk factor of the target enterprise can be determined according to the accident analysis result of the target enterprise.

It can be seen from the above introduction that the method provided by the embodiment of the present application can judge whether the target enterprise meets the preset early warning conditions according to the production safety risk factor of the target enterprise, and then introduce the process, which may include the following: step:

Step S601, according to the production safety risk factor of the target enterprise and the preset risk warning signal relationship table, determine whether the production safety risk factor of the target company reaches the risk warning of the lowest risk level in the preset risk warning signal relationship table The risk factor corresponding to the signal.

Specifically, it can be seen from the above introduction that the method provided by the embodiment of the present application can determine the production safety risk factor of the target enterprise, and different production safety risk factors correspond to different danger warning signals.

Therefore, after determining the production safety risk factor of the target enterprise, it can be judged whether the production safety risk factor of the target enterprise has reached the preset The hazard coefficient corresponding to the hazard warning signal with the lowest risk level in the hazard warning signal relation table.

If the production safety risk factor of the target enterprise reaches the risk factor corresponding to the lowest risk level of the risk early warning signal in the preset risk early warning signal relationship table, it means that the safety accident occurred in the target enterprise may bring about a relatively large Therefore, it can be determined that the target enterprise meets the preset early warning conditions.

Wherein, the preset early warning condition can be set as long as the production safety risk factor of the target enterprise reaches the risk factor corresponding to the lowest risk early warning signal in the preset risk early warning signal relationship table, then the early warning can be performed.

From the technical solution introduced above, it can be seen that the method provided by the embodiment of the present application can judge whether the production safety risk factor of the target enterprise reaches the preset value according to the production safety risk factor of the target company and the preset danger warning signal relationship table. The risk coefficient corresponding to the lowest risk level of the danger warning signal in the danger warning signal relationship table, so that the rescue work can be launched in time.

Further optionally, the method provided in the embodiment of the present application may also set modification permissions of the first target data and the first monitoring data, so as to restrict the first target data and the first monitoring data from being tampered with.

For example, it can be set through the application of blockchain technology that the first target data and the first monitoring data saved to the server by the target enterprise cannot be modified once saved, so that work can be traced after a security incident occurs. .

The security incident monitoring device provided by the embodiment of the present application is described below, and the security incident monitoring device described below and the security incident monitoring method described above may be referred to in correspondence.

Referring to FIG. 2 , FIG. 2 is a schematic structural diagram of a safety accident monitoring device disclosed in an embodiment of the present application.

As shown in Figure 2, the safety accident monitoring device may include:

The first data acquisition unit 101 is configured to acquire the first target data uploaded by the target enterprise to the server, the first target data includes a plurality of data parameters, and each data parameter corresponds to each set production safety index Parameters of work tasks, each of the production safety indicators corresponds to at least one work task;

An analyzing unit 102, configured to analyze each data parameter in the first target data according to the grade coefficient of each of the work tasks, and obtain an analysis result of each of the data parameters;

The first safety factor determining unit 103 is configured to determine the production safety risk factor of the target enterprise according to the analysis results of each of the data parameters;

The first judging unit 104 is configured to judge whether the target enterprise satisfies a preset early warning condition according to the production safety risk factor of the target enterprise;

The first early warning unit 105 is configured to, when the execution result of the first judging unit determines that the target enterprise satisfies the preset early warning condition, then send to the target enterprise a notification corresponding to the production safety risk factor of the target enterprise warning sign.

It can be seen from the technical solution introduced above that the device provided by the embodiment of the present application can use the first data acquisition unit 101 to acquire the first target data uploaded by the target enterprise to the server, wherein the first target data includes a plurality of data parameters, Each data parameter is the parameter of each work task corresponding to each production safety index that has been set, and each described production safety index corresponds to at least one work task; each work task is provided with a different grade coefficient, and by analyzing each work The data parameters corresponding to the tasks can understand the situation of each work task. Therefore, according to the grade coefficient of each work task, the analysis unit 102 can be used to analyze each data parameter in the first target data, thus An analysis result of each of the data parameters can be obtained; after obtaining the analysis results of each of the data parameters, the first safety factor determination unit 103 can be further used to determine the target according to the analysis results of each of the data parameters The production safety risk factor of the enterprise; the production safety risk factor of different levels reflects the production safety situation of the target enterprise at different levels. In the actual application process, when the production safety risk factor of the target enterprise reaches a certain level, an early warning signal needs to be issued. Therefore, after obtaining the production safety risk coefficient of the target enterprise, the first judging unit 104 can be used to judge whether the target enterprise satisfies the preset early warning condition according to the production safety risk coefficient of the target enterprise; If the enterprise meets the preset early warning conditions, the first early warning unit 105 can be used to send an early warning signal corresponding to the target enterprise's production safety risk factor to the target enterprise.

The device provided in the embodiment of the present application can find potential safety accidents and send early warning signals in time by analyzing the relevant production safety data of the target enterprise, which helps to curb the occurrence of safety accidents, helps protect the economic interests of the target enterprise, and reduces unnecessary loss.

Further optionally, the above-mentioned first safety factor determining unit 103 may include:

The first coefficient determining subunit is used to score the work tasks to which each of the data parameters belongs according to the analysis results of each of the data parameters, and obtain the work corresponding to each of the set production safety indicators Scoring results of tasks;

The second coefficient determination subunit is configured to perform weighted calculation on the scoring results of each work task corresponding to each of the production safety indicators, to obtain the scoring results of each of the production safety indicators;

The third coefficient determination subunit is configured to perform weighted calculation on the risk coefficients of each production safety index of the target enterprise according to the scoring results of each production safety index, so as to obtain the production safety risk coefficient of the target enterprise.

Further optionally, the device may also include:

A monitoring data acquisition unit, configured to acquire the first monitoring data of the monitoring equipment of the target enterprise in real time, wherein the first monitoring data includes monitoring data of the actual production situation of the target enterprise;

A second judging unit, configured to judge whether the first monitoring data includes security incident data related to the target enterprise;

The accident analysis unit is configured to determine that a safety accident has occurred in the target enterprise when the execution result of the second judging unit is to determine that the first monitoring data includes safety accident data related to the target enterprise, and obtain the map data of the geographical location of the target enterprise, and analyze the first monitoring data to obtain the accident analysis result of the target enterprise, wherein the accident analysis result of the target enterprise includes the accident type and accident The scope of the spread.

Further optionally, the device may also include:

The second safety factor determination unit is used to determine the risk factor of the target enterprise according to the accident analysis results of the target enterprise;

The second early warning unit is used to notify the target enterprise and the rescue unit at the location of the target enterprise according to the risk factor of the target enterprise, the accident analysis result of the target enterprise and the map data of the geographical location of the target enterprise and the relevant supervisory department to which the target enterprise belongs sends an early warning signal corresponding to the risk factor of the target enterprise.

Further optionally, the execution process of the second judging unit may include:

If the first monitoring data shows that the temperature, humidity or pressure value of the target enterprise exceeds the corresponding safety threshold, it is determined that the first monitoring data includes security accident data related to the target enterprise;

and / or,

If the first monitoring data includes alarm signal data of the target enterprise, it is determined that the first monitoring data includes security incident data related to the target enterprise.

Further optionally, the accident analysis unit may include:

an accident type determining unit, configured to analyze the first monitoring data and determine the accident type of the target enterprise;

The accident impact range unit is configured to determine the accident impact range of the target enterprise according to the accident type of the target enterprise, and use the accident type and accident impact range of the target enterprise as the accident analysis result of the target enterprise.

Further optionally, the first judging unit 104 may include:

The first judging subunit is used to judge whether the production safety risk factor of the target enterprise reaches the lowest in the preset risk warning signal relationship table according to the production safety risk factor of the target company and the preset risk warning signal relationship table The risk factor corresponding to the risk warning signal of the risk level;

A determining unit, configured to determine that the target enterprise meets a preset warning condition when the execution result of the first judging subunit is yes.

Further optionally, the device may also include:

The authority setting unit is configured to set the modification authority of the first target data and the first monitoring data, so as to limit the tampering of the first target data and the first monitoring data.

Wherein, for the specific processing flow of each unit included in the above-mentioned security incident monitoring device, reference may be made to the relevant introduction of the security incident monitoring method above, and details will not be repeated here.

The security incident monitoring device provided in the embodiment of the present application can be applied to security incident monitoring equipment, such as terminals: mobile phones, computers, and the like. Optionally, FIG. 3 shows a block diagram of a hardware structure of a security incident monitoring device. Referring to FIG. A communication bus 4 .

In the embodiment of the present application, there are at least one processor 1 , communication interface 2 , memory 3 , and communication bus 4 , and the processor 1 , communication interface 2 , and memory 3 communicate with each other through the communication bus 4 .

Processor 1 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present application, etc.;

The memory 3 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory;

Wherein, the memory stores a program, and the processor can call the program stored in the memory, and the program is used for: implementing each processing flow in the foregoing terminal security accident monitoring solution.

The embodiment of the present application further provides a readable storage medium, which can store a program suitable for execution by a processor, and the program is used for: implementing each processing flow of the aforementioned terminal in the security accident monitoring solution.

Finally, it should also be noted that in this text, relational terms such as first and second etc. are only used to distinguish one entity or operation from another, and do not necessarily require or imply that these entities or operations, any such actual relationship or order exists. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

Each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same and similar parts of each embodiment can be referred to each other.

The above description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the application. Various embodiments can be combined with each other. Therefore, the present application will not be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. A method of security incident monitoring, comprising:

acquiring first target data uploaded to a server by a target enterprise, wherein the first target data comprises a plurality of data parameters, each data parameter is a parameter of a work task corresponding to each set production safety index, and each production safety index corresponds to at least one work task;

analyzing each data parameter in the first target data according to the grade coefficient of each work task to obtain an analysis result of each data parameter;

determining the production safety risk coefficient of the target enterprise according to the analysis result of each data parameter;

judging whether the target enterprise meets a preset early warning condition or not according to the production safety risk coefficient of the target enterprise;

and if the target enterprise meets the preset early warning condition, sending an early warning signal corresponding to the production safety risk coefficient of the target enterprise to the target enterprise.

2. The method of claim 1, wherein determining the target enterprise's production safety risk factor based on the analysis of each of the data parameters comprises:

according to the analysis result of each data parameter, scoring the work task to which each data parameter belongs to obtain the scoring result of the set work task corresponding to each production safety index;

carrying out weighted calculation on the scoring result of each work task corresponding to each production safety index to obtain the scoring result of each production safety index;

and according to the grading result of each production safety index, carrying out weighted calculation on the risk coefficient of each production safety index of the target enterprise to obtain the production safety risk coefficient of the target enterprise.

3. The method of claim 1, further comprising:

acquiring first monitoring data of monitoring equipment of the target enterprise in real time, wherein the first monitoring data comprises monitoring data of actual production conditions of the target enterprise;

determining whether the first monitoring data comprises safety accident data related to the target enterprise;

if the first monitoring data comprise safety accident data related to the target enterprise, determining that a safety accident occurs to the target enterprise, acquiring map data of the geographical position of the target enterprise, and analyzing the first monitoring data to obtain an accident analysis result of the target enterprise, wherein the accident analysis result of the target enterprise comprises an accident type and an accident spread range of the target enterprise.

4. The method of claim 3, further comprising:

determining a risk coefficient of the target enterprise according to the accident analysis result of the target enterprise;

and sending an early warning signal corresponding to the danger coefficient of the target enterprise to the target enterprise, a rescue unit where the target enterprise is located and a related supervision department where the target enterprise belongs according to the danger coefficient of the target enterprise, the accident analysis result of the target enterprise and the map data of the geographic position of the target enterprise.

5. The method of claim 3, wherein determining whether the first monitoring data includes incident data associated with the target enterprise comprises:

if the temperature, humidity or pressure value of the target enterprise exceeds the corresponding safety threshold value, the first monitoring data is determined to comprise safety accident data related to the target enterprise;

and/or the presence of a gas in the gas,

and if the first monitoring data comprises the alarm signal data of the target enterprise, determining that the first monitoring data comprises safety accident data related to the target enterprise.

6. The method of claim 3, wherein analyzing the first monitoring data to obtain the accident analysis result of the target enterprise comprises:

analyzing the first monitoring data to determine the accident type of the target enterprise;

and determining the accident spread range of the target enterprise according to the accident type of the target enterprise, and taking the accident type and the accident spread range of the target enterprise as an accident analysis result of the target enterprise.

7. The method according to any one of claims 1 to 6, wherein the determining whether the target enterprise meets a preset early warning condition according to the production safety risk coefficient of the target enterprise comprises:

judging whether the production safety risk coefficient of the target enterprise reaches a risk coefficient corresponding to a risk early warning signal at the lowest risk level in a preset risk early warning signal relation table or not according to the production safety risk coefficient of the target enterprise and the preset risk early warning signal relation table;

and if so, determining that the target enterprise meets preset early warning conditions.

8. A security incident monitoring device, comprising:

the system comprises a first data acquisition unit, a second data acquisition unit and a processing unit, wherein the first data acquisition unit is used for acquiring first target data uploaded to a server by a target enterprise, the first target data comprises a plurality of data parameters, each data parameter is a parameter of a work task corresponding to each set production safety index, and each production safety index corresponds to at least one work task;

the analysis unit is used for analyzing each data parameter in the first target data according to the grade coefficient of each work task to obtain an analysis result of each data parameter;

the first safety factor determining unit is used for determining a production safety risk coefficient of the target enterprise according to the analysis result of each data parameter;

the first judgment unit is used for judging whether the target enterprise meets a preset early warning condition or not according to the production safety risk coefficient of the target enterprise;

and the first early warning unit is used for sending an early warning signal corresponding to the production safety risk coefficient of the target enterprise to the target enterprise when the execution result of the first judging unit determines that the target enterprise meets the preset early warning condition.

9. A safety accident monitoring apparatus, comprising:

one or more processors, and a memory;

the memory has stored therein computer readable instructions which, when executed by the one or more processors, carry out the steps of the security incident monitoring method of any one of claims 1 to 7.

10. A readable storage medium, characterized by: the readable storage medium has stored therein computer readable instructions which, when executed by one or more processors, cause the one or more processors to carry out the steps of the security incident monitoring method of any of claims 1 to 7.

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