CN115423310A

CN115423310A - Information recommendation method, device, equipment and readable storage medium

Info

Publication number: CN115423310A
Application number: CN202211060821.5A
Authority: CN
Inventors: 杨洋; 王俊芳; 王晋华
Original assignee: Hainan Jinyun Security Technology Service Co ltd
Current assignee: Hainan Jinyun Security Technology Service Co ltd
Priority date: 2022-08-31
Filing date: 2022-08-31
Publication date: 2022-12-02

Abstract

The application provides an information recommendation method, device, equipment and readable storage medium, which can acquire first target data uploaded to a server by a target enterprise; after the first target data is determined, first target adjustment information corresponding to the target work task can be determined according to the target work task; after the first target adjustment information is determined, the first target adjustment information can be recommended to a target enterprise, so that the target enterprise can make a rectification measure aiming at the management vulnerability of the target enterprise in time by referring to the first target adjustment information and rectify the management vulnerability according to the made rectification measure, the potential safety hazard of the target can be eliminated in time, the economic loss of the enterprise can be reduced, and the construction and the perfection of a safety risk management and control and hidden danger troubleshooting management and control system of the enterprise can be facilitated.

Description

Information recommendation method, device, equipment and readable storage medium

Technical Field

The present application relates to the field of information processing technologies, and in particular, to an information recommendation method, apparatus, device, and readable storage medium.

Background

With the development of science and technology, the production level of enterprises is gradually improved. With the increase of production level, many enterprises also begin to pay attention to the scientific management of the enterprises. In order to further complete the work of troubleshooting the potential safety hazards in production of enterprises and prevent production safety accidents, a safety risk management and control system and a potential safety hazard troubleshooting and treatment system are gradually established by a plurality of enterprises.

However, at present, security risk management and control and hidden danger troubleshooting management systems of many enterprises are not mature, and in the practical application process, due to the lack of a mature management system, many enterprises cannot make effective rectification measures in time according to vulnerabilities existing in enterprise management of the enterprises, so that the existing hidden dangers cannot be eliminated in time.

Disclosure of Invention

In view of the above, the present application provides an information recommendation method, apparatus, device and readable storage medium, which are used to solve the technical defect that in the prior art, an enterprise cannot timely make an effective rectification measure according to the vulnerability existing in the enterprise management of the enterprise, so that the existing potential safety hazard cannot be timely eliminated.

An information recommendation method, comprising:

acquiring first target data uploaded to a server by a target enterprise, wherein the first target data comprises a target work task, the target work task is a work task which is not completed by the target enterprise, the target work task belongs to a preset work task set, and the preset work task set is a set of all work tasks which are required to be completed by the target enterprise;

determining first target adjustment information corresponding to the target work task according to the target work task;

and recommending the first target adjustment information to the target enterprise.

Preferably, the first target data further includes a security level of the target enterprise, the method further comprising:

determining difference information between the current enterprise production safety condition of the target enterprise and a preset target training activity requirement according to the safety level of the target enterprise and the preset target training activity requirement;

determining training information matched with the difference information according to the difference information;

and recommending the training information to the target enterprise.

Preferably, the first target data further includes a production safety risk coefficient of the target enterprise, and the method further includes:

determining potential safety hazards of the target enterprise according to the production safety risk coefficient of the target enterprise;

according to the potential safety hazard, determining second target adjustment information matched with the potential safety hazard;

and recommending the second target adjustment information to the target enterprise.

Preferably, the first target data comprises incident data relating to a security incident of the target enterprise, the method further comprising:

analyzing the first target data and determining the accident type of the safety accident of the target enterprise;

determining the spread range of the safety accident of the target enterprise according to the accident type of the safety accident of the target enterprise;

determining rescue information matched with the target enterprise according to the accident type of the safety accident of the target enterprise and the coverage range of the safety accident;

and recommending the rescue information to the target enterprise.

Preferably, the determining of the rescue information matched with the target enterprise according to the accident type of the safety accident of the target enterprise and the coverage range of the safety accident comprises:

obtaining map data of the geographic position of the target enterprise;

determining rescue resources required by the target enterprise and available rescue resources closest to the target enterprise by taking the geographical position of the target enterprise as a center according to the accident type of the safety accident of the target enterprise and the spread range of the safety accident, wherein the available rescue resources comprise rescue materials and rescue units;

and determining rescue information matched with the target enterprise according to the rescue resources required by the target enterprise and the available rescue resources closest to the target enterprise.

Preferably, the first target data includes incident data relating to security incidents that have occurred with the target enterprise, the method further comprising:

calculating a first probability of similar safety accidents of the target enterprise according to the safety level of the target enterprise and accident data related to the safety accidents of the target enterprise;

determining third target adjustment information matched with the target enterprise according to the first probability;

and recommending the third target adjustment information to the target enterprise.

calculating a second probability of similar safety accidents of the target enterprise according to the production safety risk coefficient of the target enterprise and accident data related to the safety accidents of the target enterprise;

determining fourth target adjustment information matched with the target enterprise according to the second probability;

recommending the fourth target adjustment information to the target enterprise.

An information recommendation apparatus comprising:

the system comprises a first data acquisition unit, a first data acquisition unit and a second data acquisition unit, wherein the first target data is uploaded to a server by a target enterprise, the first target data comprises a target work task, the target work task is a work task which is not completed by the target enterprise, the target work task belongs to a preset work task set, and the preset work task set is a set of all work tasks which need to be completed by the target enterprise;

a first adjustment information determining unit, configured to determine, according to the target work task, first target adjustment information corresponding to the target work task;

and the first recommending unit is used for recommending the first target adjustment information to the target enterprise.

An information recommendation 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 information recommendation method as in any of the preceding introductions.

A readable storage medium having 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 information recommendation method as described in any of the preceding introductions.

As can be seen from the above introduced technical solutions, the method provided in the embodiment of the present application may obtain first target data uploaded to a server by a target enterprise, where the first target data may include a target work task, the target work task may be a work task that has not been completed by the target enterprise, the target work task belongs to a preset work task set, and the preset work task set is a set of all work tasks that the target enterprise needs to complete; the target enterprise has unfinished work tasks, which indicates that the target enterprise does not finish related work tasks according to preset requirements, so that management work of the target enterprise may have management vulnerabilities, and it may be necessary to make rectification measures and rectify according to the made rectification measures, and therefore, after first target data of the target enterprise is determined, first target adjustment information corresponding to the target work tasks may be determined according to the target work tasks; after the first target adjustment information is determined, the first target adjustment information can be recommended to the target enterprise, so that the target enterprise can make a corrective measure for the management vulnerability of the target enterprise in time by referring to the first target adjustment information and make a corrective measure according to the made corrective measure.

The method provided by the embodiment of the application can be based on the target work task which is not completed by the target enterprise, the adjustment information corresponding to the target work task is determined and recommended to the target enterprise, so that the target enterprise can refer to the recommended adjustment information to find out the management loopholes existing in the target enterprise in time, make the adjustment measures for the management work in time and make the adjustment measures according to the made adjustment measures, and therefore the target enterprise can be helped to eliminate potential safety hazards in time, the economic loss of the enterprise can be reduced, and the method is helpful for helping the enterprise to construct and perfect a safety risk management and control and hidden danger troubleshooting management and control system.

Drawings

In order to more clearly illustrate the technical solutions provided by the embodiments of the present application or in the prior art, the drawings needed to be used in the description of the embodiments of the present application or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without inventive exercise.

Fig. 1 is a flowchart illustrating an information recommendation method according to an embodiment of the present application;

fig. 2 is a flowchart of another method for implementing information recommendation according to an embodiment of the present application;

fig. 3 is a flowchart of another method for implementing information recommendation according to an embodiment of the present application;

fig. 4 is a flowchart of another method for implementing information recommendation according to an embodiment of the present application;

fig. 5 is a flowchart illustrating another method for implementing information recommendation according to an embodiment of the present application;

fig. 6 is a flowchart of another method for implementing information recommendation according to an embodiment of the present application;

fig. 7 is a flowchart illustrating another method for implementing information recommendation according to an embodiment of the present application;

FIG. 8 is a schematic structural diagram of an information recommendation device according to an example of the present application;

fig. 9 is a block diagram of a hardware structure of an information recommendation device disclosed in an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

In view of the fact that most of current information recommendation schemes are difficult to adapt to complex and variable business requirements, the applicant researches an information recommendation scheme, and the method determines adjustment information corresponding to the target work task and recommends the adjustment information to the target enterprise according to the target work task which is not completed by the target enterprise so that the target enterprise can refer to the recommended adjustment information to discover the existing management loopholes in time and make adjustment measures aiming at management work in time and make adjustment according to the made adjustment measures, so that the target enterprise can be helped to eliminate potential safety hazards in time, the economic loss of the enterprise can be reduced, and the construction and perfection of a safety risk control and hidden danger troubleshooting management system of the enterprise are helped.

The methods provided by the embodiments of the present application are operational with numerous general purpose or special purpose computing device environments or configurations.

For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multi-processor apparatus, distributed computing environments that include any of the above devices or equipment, and the like.

The embodiment of the application provides an information recommendation method, which can be applied to various management systems, and also can be applied to various computer terminals or intelligent terminals, and an execution main body of the information recommendation method can be a processor or a server of the computer terminal or the intelligent terminal.

The following describes a flow of an information recommendation method according to an embodiment of the present application with reference to fig. 1, where the flow may include the following steps:

step S101, first target data uploaded to a server by a target enterprise is obtained, the first target data comprises a target work task, the target work task is a work task which is not completed by the target enterprise, the target work task belongs to a preset work task set, and the preset work task set is a set of all work tasks which are required to be completed by the target enterprise.

Specifically, in the practical application process, an enterprise generally uploads some data related to the production and management of the enterprise to a server for backup and storage periodically, so that the production and management condition of the enterprise can be analyzed according to the backup and storage data. The backup data stored in the server by the enterprise can feed back the production and management related conditions of the enterprise. The backup data uploaded to the server by the enterprise may include data of various information.

For example, the data uploaded to the server by the enterprise may include data related to production safety of the enterprise, business data related to sales of the enterprise, data related to daily production, management and management work of the enterprise, data related to tax declaration of the enterprise, and the like.

If the production safety condition of the enterprise is required to be known, the backup data stored in the server by the enterprise can be obtained to analyze the production safety condition of the enterprise.

Therefore, in order to know the management vulnerability existing in the production management work of the target enterprise, the first target data uploaded to the server by the target enterprise can be obtained, so that the production management situation of the target enterprise can be known by analyzing the first target data.

The first target data may include a plurality of data, for example, the first target data may include a target work task, the target work task may be a work task that has not been completed by the target enterprise, the target work task belongs to a preset work task set, and the preset work task set may be a set of all work tasks that the target enterprise needs to complete.

For example, the first target data may include data related to work tasks completed by the target enterprise and work tasks that have not been completed.

Step S102, according to the target work task, determining first target adjustment information corresponding to the target work task.

Specifically, the target enterprise has an incomplete target work task, which represents that the target enterprise has not completed work tasks required by each evaluation index completely according to the relevant requirements of each evaluation index.

As can be seen from the above description, the first target data may include a target work task that has not been completed by the target enterprise, and therefore, after the first target data is obtained, the target data may be analyzed, so that the target work task may be determined, where the target work task is a work task that has not been completed by the target enterprise, and the target enterprise has the target work task, which indicates that the target enterprise has not completed work tasks required to be completed by each evaluation index completely according to the related requirements of each evaluation index, and thus the production management and management work of the target enterprise may have management vulnerabilities, and the target enterprise may need to make an adjustment measure and perform adjustment according to the made adjustment measure.

Therefore, after the target work task is determined, first target adjustment information corresponding to the target work task can be determined according to the target work task, so that the first target adjustment information can be referred to when the target enterprise makes an adjustment and a correction.

Step S103, recommending the first target adjustment information to the target enterprise.

Specifically, as can be seen from the above description, according to the target work task, the method provided in the embodiment of the present application may determine first target adjustment information corresponding to the target work task, where the first target adjustment information is formulated according to a target work task that has not been completed by the target enterprise, and therefore, the first target adjustment information may be referred to by the target enterprise when performing the adjustment.

Therefore, after the first target adjustment information is determined, the first target adjustment information can be recommended to the target enterprise, so that the target enterprise can refer to the recommended adjustment information to find the existing management loopholes in time, make the adjustment measures for the management work in time, and perform the adjustment according to the made adjustment measures.

According to the technical scheme, the method provided by the embodiment of the application can determine the adjustment information corresponding to the target work task and recommend the adjustment information to the target enterprise according to the target work task which is not completed by the target enterprise, so that the target enterprise can refer to the recommended adjustment information to discover the management loopholes existing in the target enterprise in time, make the adjustment measures aiming at the management work in time and carry out the adjustment according to the made adjustment measures, and thus the target enterprise can be helped to eliminate potential safety hazards in time, the economic loss of the enterprise can be reduced, and the construction and the perfection of a safety risk control and hidden danger investigation governing system of the enterprise are facilitated.

In an actual application process, the first target data may further include a security level of the target enterprise, and when the first target data includes the security level of the target enterprise, the method provided in this embodiment of the application may determine difference information between a current enterprise production security status of the target enterprise and a preset target training activity requirement according to the security level of the target enterprise and the preset target training activity requirement, and may determine training information matching the difference information according to the difference information. Referring next to fig. 2, the process will be described, which may include the following steps:

step 201, determining difference information between the current enterprise production safety status of the target enterprise and a preset target training activity requirement according to the safety level of the target enterprise and the preset target training activity requirement.

Specifically, in an actual application process, the first target data may further include a security level of the target enterprise, and when the first target data includes the security level of the target enterprise, different analysis results may be obtained by analyzing the first target data in the embodiment of the present application.

For example, after determining the security level of the target enterprise, the method provided by the embodiment of the application may determine the difference information between the current enterprise production security status of the target enterprise and the preset target training activity requirement according to the security level of the target enterprise and the preset target training activity requirement.

The preset target training activity requirement can be the requirement of the training activity required to be carried out by a certain type of enterprise or unit according to relevant regulations and requirements.

For example, the target training campaign may advertise a month for safety knowledge, and the target enterprise may need to develop a training campaign related to safety production knowledge within a specified time according to relevant regulations and requirements.

Determining difference information between the current enterprise production safety state of the target enterprise and the preset target training activity requirement, and judging whether the target enterprise has related training jobs required to be completed by the preset target training activity according to the preset target training activity requirement, if the target enterprise does not complete the related training jobs required to be completed by the preset target training activity according to the preset target training activity requirement, it is indicated that management work of the target enterprise may have management holes, and the target enterprise may need to make adjustments.

Therefore, after determining that there is difference information between the current enterprise production safety status of the target enterprise and the preset target training activity requirement, step S202 may be executed.

And S202, determining training information matched with the difference information according to the difference information.

Specifically, as can be seen from the above description, the method provided in the embodiment of the present application may determine difference information between the current enterprise production safety status of the target enterprise and the preset target training activity requirement, where the difference information reflects that the target enterprise does not complete the corresponding work task according to the preset target training requirement. It is indicated that the target enterprise may need to make an adjustment and modification measure for an unfinished work task and perform adjustment and modification according to the made adjustment and modification measure, and therefore, after the difference information is determined, training information matched with the difference information can be determined according to the difference information, so that the target can refer to the training information to adjust and modify in time, and complete a corresponding work task according to the related requirements of the target training activities.

And step S203, recommending the training information to the target enterprise.

Specifically, as can be seen from the above description, the method provided in the embodiment of the present application may determine, according to the security level of the target enterprise and a preset target training activity requirement, difference information between the current enterprise production security status of the target enterprise and the preset target training activity requirement, and determine, according to the difference information, training information matched with the difference information.

The training information is formulated according to the target work tasks which are not completed by the target enterprises, so that the training information can be referred to when the target enterprises carry out rectification.

Therefore, after the training information is determined, the training information can be recommended to the target enterprise, so that the target enterprise can refer to the recommended training information to find the management loopholes existing in the target enterprise in time, make the adjustment and modification measures aiming at the management work in time and carry out the adjustment and modification according to the made adjustment and modification measures.

According to the technical scheme, the method provided by the embodiment of the application can determine the difference information between the current enterprise production safety condition of the target enterprise and the preset target training activity requirement according to the safety level of the target enterprise and the preset target training activity requirement, formulate the training information matched with the target enterprise according to the difference information, and recommend the training information to the target enterprise, so that the target enterprise can timely find the management loophole existing in the target enterprise by referring to the recommended training information, timely formulate the rectification measure aiming at the management work and rectify the regulation according to the formulated rectification measure, and can help the target enterprise to timely eliminate potential safety hazards, reduce the economic loss of the enterprise, and help the enterprise to construct and perfect a safety risk control and troubleshooting management system.

In an actual application process, the first target data further includes a production safety risk coefficient of the target enterprise, and when the first target data includes the production safety risk coefficient of the target enterprise, the method provided by the embodiment of the application may determine the potential safety hazard existing in the target enterprise by analyzing the first target data, and may determine, according to the potential safety hazard, second target adjustment information matched with the potential safety hazard. Referring next to fig. 3, the process will be described, which may include the following steps:

step 301, determining the potential safety hazard of the target enterprise according to the production safety risk coefficient of the target enterprise.

Specifically, in an actual application process, the first target data may further include a production safety risk coefficient of the target enterprise, and when the first target data includes the production safety risk coefficient of the target enterprise, the embodiment of the present application may obtain a different analysis result by analyzing the first target data.

For example, after determining the production safety risk coefficient of the target enterprise, the method provided by the embodiment of the present application may determine the potential safety hazard existing in the target enterprise according to the production safety risk coefficient of the target enterprise. The production safety risk coefficient of the target enterprise can represent the safety coefficient of the current production operation state of the target enterprise.

After the current enterprise production safety condition of the target enterprise is determined, how the current production and operation state of the target enterprise is, if the production safety risk coefficient of the target enterprise is low, the management work of the target enterprise is better without more correction, if the production safety risk coefficient of the target enterprise is high, the management work of the target enterprise is worse, the target enterprise may have management loopholes, and the target enterprise may need to make adjustment.

The potential safety hazard may characterize a safety incident that may occur with the target enterprise.

Step S302, according to the potential safety hazard, determining second target adjustment information matched with the potential safety hazard.

Specifically, as can be seen from the above description, the method provided by the embodiment of the present application may determine the potential safety hazard existing in the target enterprise according to the production safety risk coefficient of the target enterprise, where the potential safety hazard reflects that a potential safety accident may occur in the current production safety status of the target enterprise. The target enterprise may need to make a rectification measure according to the current potential safety hazard and rectify and modify according to the made rectification measure, so after the potential safety hazard is determined, second target adjustment information matched with the potential safety hazard can be determined according to the potential safety hazard, so that the target can refer to the second target adjustment information to make the rectification measure in time and adjust according to the second target adjustment information.

Step S303, recommending the second target adjustment information to the target enterprise.

Specifically, as can be seen from the above description, the method provided in the embodiment of the present application may determine the potential safety hazard existing in the target enterprise according to the production safety risk coefficient of the target enterprise, and determine the second target adjustment information matched with the potential safety hazard according to the potential safety hazard.

The potential safety hazard is determined according to a production safety risk coefficient of the target enterprise, and the second target adjustment information is formulated according to the potential safety hazard possibly existing in the target enterprise, so that the second target adjustment information can be used for reference when the target enterprise is modified.

Therefore, after the second target adjustment information is determined, the second target adjustment information can be recommended to the target enterprise, so that the target enterprise can refer to the recommended second target adjustment information to find the existing management loopholes in time, make the adjustment measures for the management work in time, and perform the adjustment according to the made adjustment measures.

According to the technical scheme, the potential safety hazard of the target enterprise can be determined according to the production safety risk coefficient of the target enterprise, second target adjustment information matched with the target enterprise is formulated according to the potential safety hazard, and the second target adjustment information is recommended to the target enterprise, so that the target enterprise can timely find management flaws existing in the target enterprise by referring to the recommended second target adjustment information, timely formulate correction measures aiming at management work, and correct according to the formulated correction measures, the potential safety hazard of the target enterprise can be timely eliminated, economic loss of the enterprise can be reduced, and the construction and improvement of a safety risk control and hidden danger investigation system of the enterprise can be facilitated.

In an actual application process, the first target data may include accident data related to a security accident of the target enterprise, and when the first target data includes accident data related to a security accident of the target enterprise, the method provided by the embodiment of the application may determine an accident type and an accident coverage of the security accident of the target enterprise by analyzing the first target data, and may determine rescue information matched with the target enterprise according to the accident type and the accident coverage of the security accident of the target enterprise. Referring next to fig. 4, the process will be described, which may include the following steps:

step 401, analyzing the first target data, and determining an accident type of the security accident of the target enterprise.

Specifically, in an actual application process, the first target data may further include accident data related to a security incident of the target enterprise, and if the first target data includes accident data related to a security incident of the target enterprise, it indicates that the target enterprise may have a security incident or has a security incident, and the first target data may be analyzed to learn about a security incident related condition of the target enterprise.

When the first target data includes accident data related to a security incident of the target enterprise, the accident data related to the security incident of the target enterprise may include an accident type of the security incident of the target enterprise, and the method provided by the embodiment of the application may obtain a different analysis result by analyzing the first target data.

For example, after acquiring the accident data related to the security incident of the target enterprise, the method provided by the embodiment of the present application may determine the accident type of the security incident of the target enterprise according to the accident data related to the security incident of the target enterprise. The accident type of the safety accident of the target enterprise can reflect the relevant condition of the safety accident currently happening to the target enterprise, and the safety factor of the current production and operation state of the target enterprise can be reflected from the side.

After the accident type of the safety accident of the target enterprise is determined, how the current production safety state of the target enterprise is judged, if the accident type of the safety accident of the target enterprise is a major explosion, chemical leakage or fire accident, it is indicated that the current state of the target enterprise is quite dangerous and may need emergency rescue, and meanwhile, the management work of the target enterprise may have management holes, which causes the production safety accident, and the target enterprise may need to make adjustment.

Step S402, determining the coverage range of the safety accident of the target enterprise according to the accident type of the safety accident of the target enterprise.

Specifically, in the actual application process, the damage caused by different types of production safety accidents and the corresponding accident spread range calculation modes are different.

For example, the geographic extent of injury and spread resulting from fire accidents, chemical spill accidents, and explosion accidents are all different.

Therefore, after the accident type of the safety accident of the target enterprise is determined, the spread range of the safety accident of the target enterprise can be determined according to the accident type of the safety accident of the target enterprise.

Further, map data of the geographical location of the target enterprise may be obtained, and accident data related to the security accident of the target enterprise may be analyzed to obtain an accident analysis result of the target enterprise, where the accident analysis result of the target enterprise may include an accident spread range of the target enterprise.

When the target enterprise is determined to have a safety accident, determining the accident type and the accident spread range of the target enterprise can be helpful for timely rescue work.

For example,

if the safety accident of the target enterprise is a fire accident involving dangerous chemicals, the range with the radius of 50 meters may be the range where the fire accident of the target enterprise spreads, with the center of the geographical position where the fire accident of the target enterprise is located as the center of the circle.

If the safety accident of the target enterprise is a fire accident involving dangerous chemicals, the range with the radius of 25 meters may be the range where the fire accident of the target enterprise spreads, with the center of the geographical position where the fire accident of the target enterprise is located as the center of the circle.

If the safety accident of the target enterprise is an explosion accident involving dangerous chemicals, the first spread range may be the spread range of the safety accident of the target enterprise, with the center of the geographical position where the fire accident of the target enterprise is located as the center of the circle.

Wherein, the first sweep range can be calculated by referring to a preset explosion accident influence range calculation formula:

wherein,

wherein,

R ₁ a radius that may represent the range of influence caused by an explosive;

W _TNT may represent TNT equivalent in kilograms;

eta can represent the explosion efficiency of the flammable vapor cloud, wherein the explosion efficiency of the flammable vapor cloud is influenced by factors such as wind direction under the explosion situation, the situation of barriers around an explosion point, the temperature and pressure conditions during explosion, the activity of explosive substances, the shape and the size of the vapor cloud and the like, the variability is large, and the value range can be [0.1 percent and 10 percent ];

w may represent the amount of explosive leakage in kilograms in a vapor cloud of an explosive range;

H _h can represent the high calorific value of the explosive with the unit of kJ/kg;

H _TNT the explosive heat value of TNT can be expressed in kJ/kg.

If the safety accident of the target enterprise is an explosion accident involving dangerous chemicals, the second spread range may be the spread range of the safety accident of the target enterprise, with the center of the geographical position where the fire accident of the target enterprise is located as the center of the circle.

Wherein, the second sweep range can be calculated with reference to a preset chemical leakage accident influence range:

wherein,

c (x, y, z) may represent the mass concentration of the leak at the coordinate (x, y, z) point in kg/m ³ Where x may represent a downwind distance, y may represent a cross-sectional wind distance, and z may represent a vertical distance from the ground;

Q _m may represent the leak rate of the leak source in kg/s;

u may represent the mean wind speed for the leak height;

σ _y can be expressed as a diffusion parameter of the leakage in the transverse wind direction;

σ _z a diffusion parameter that can be expressed as a leakage downwind;

h may represent the effective height of the source of the leak.

And S403, determining rescue information matched with the target enterprise according to the accident type of the safety accident of the target enterprise and the spread range of the safety accident.

Specifically, as can be seen from the above description, the method provided in the embodiment of the present application may determine an accident type of a safety accident of the target enterprise and a safety accident spread range of the target enterprise, determine how much damage may be caused by the production safety accident of the target enterprise according to the production safety accident type of the target enterprise, determine the safety accident spread range of the target enterprise, and determine how much an influence area may be caused by the production safety accident of the target enterprise, thereby determining the type and the number of rescue resources that may be required by the target enterprise.

Therefore, after the accident type of the safety accident of the target enterprise and the safety accident spread range of the target enterprise are determined, the rescue information matched with the target enterprise can be determined according to the accident type of the safety accident of the target enterprise and the safety accident spread range of the target enterprise, so that the target rescue resources required by the target enterprise can be determined, and an emergency rescue scheme can be determined according to the target rescue resources required by the target enterprise in time.

And step S404, recommending the rescue information to the target enterprise.

Specifically, as can be seen from the above description, the method provided in the embodiment of the present application may determine the accident type and the coverage range of the safety accident of the target enterprise by analyzing the first target data, and determine the rescue information matched with the target enterprise according to the accident type and the coverage range of the safety accident of the target enterprise.

The rescue information is formulated according to the accident type of the target enterprise and the coverage range of the safety accident, so that the rescue information can be referred to when the target enterprise is modified.

Therefore, after the rescue information is determined, the rescue information can be recommended to the target enterprise, so that the target enterprise can refer to the recommended rescue information to perform rescue work in time, and can also help the enterprise to find the existing management loopholes in time, make the correction measures for the management work in time and perform the correction according to the made correction measures.

According to the technical scheme, the method provided by the embodiment of the application can determine the accident type and the coverage range of the safety accident of the target enterprise by analyzing the first target data, determine the rescue information matched with the target enterprise according to the accident type and the coverage range of the safety accident of the target enterprise, and recommend the rescue information to the target enterprise, so that the target enterprise can perform rescue work in time by referring to the recommended rescue information, and can help the target enterprise find the existing management loopholes and make corrective measures for the management work in time and make corrective measures according to the made corrective measures, so that the target enterprise can be helped to eliminate potential safety hazards in time, the economic loss of the enterprise can be reduced, and the enterprise can be helped to construct and perfect a safety risk management and control and management system.

In an actual application process, the accident type and the coverage range of the safety accident of the target enterprise are different, and the rescue resources required by the target enterprise may be different, so that in determining the accident type and the coverage range of the safety accident of the target enterprise, the method provided by the embodiment of the application may determine the rescue information matched with the target enterprise according to the accident type and the coverage range of the safety accident of the target enterprise, and then the process is described with reference to fig. 5, and may include the following steps:

step 501, obtaining map data of the geographic position of the target enterprise.

As can be seen from the above description, the method provided in the embodiment of the present application may determine the accident type and the accident coverage range of the security accident of the target enterprise, and in an actual application process, after the security accident occurs to the target enterprise, the geographic location where the target enterprise is located should be the center where the disaster is the most serious, and with the geographic location where the target enterprise is located as the center, the influence of the production security accident of the target enterprise gradually spreads outward.

For example, if a production safety accident of chemical leakage occurs in the target enterprise, the most affected is the geographical location of the target enterprise, and the influence caused by chemical leakage gradually spreads with the geographical location of the target enterprise as the center.

Therefore, in order to better determine the rescue resources available to the target enterprise, the map data of the geographic location where the target enterprise is located may be obtained, so that the rescue resources available to the target enterprise may be determined according to the accident type of the safety accident of the target enterprise and the map data of the geographic location where the target enterprise is located.

Step S502, with the geographical position of the target enterprise as the center, determining rescue resources required by the target enterprise and available rescue resources closest to the target enterprise according to the accident type of the safety accident of the target enterprise and the coverage range of the safety accident, wherein the available rescue resources comprise rescue goods and rescue units.

Specifically, as can be seen from the above description, the method provided by the embodiment of the present application can obtain the map data of the geographic location where the target enterprise is located, and in an actual application process, the map data generally displays data related to the rescue resource, and the data related to the rescue resource can be known according to the map data.

Therefore, after determining the map data corresponding to the geographic location of the target enterprise and the coverage area of the security incident of the target enterprise, the rescue resources required by the target enterprise and the available rescue resources closest to the target enterprise may be determined according to the incident type of the security incident of the target enterprise and the coverage area of the security incident, with the geographic location of the target enterprise as the center, where the available rescue resources include rescue materials and rescue units.

Determining the rescue resources needed by the target enterprise and the available rescue resources closest to the target enterprise can be implemented in two ways:

in the first kind of the method, the first,

all first target rescue units can be determined within a preset first range, so that an emergency rescue scheme conforming to the target enterprise can be formulated according to all first target rescue units within the preset first range.

Wherein the preset first range may include a coverage range of security incidents of the target enterprise.

The preset first range may be set as a coverage range of the security incident of the target enterprise, and as can be known from the above description, the coverage range of the security incident of the target enterprise may be determined according to the incident type of the security incident of the target enterprise. Thus, the preset first range may be set with reference to an incident type of a production safety incident of the target enterprise.

After all the first target rescue units in the preset first range are determined, the first target distance from each first target rescue unit to the target enterprise can be calculated respectively according to the map data, so that the rescue unit closest to the target enterprise can be determined to take part in rescue work preferentially.

In order to find out the rescue units closest to the target enterprise among the first target rescue units, the rescue units are preferably used for rescue, after the first target distances from the first target rescue units to the target enterprise are determined, the first target distances can be sorted according to the numerical value, the first target rescue unit corresponding to the first target distance with the smallest numerical value among the first target distances and the rescue goods and materials held by the first target rescue unit can be determined, and the first target rescue unit and the rescue goods and materials held by the first target rescue unit are available rescue resources closest to the target enterprise.

In the second type of the above-mentioned methods,

all first target rescue units can be determined within a preset first range, wherein the preset first range comprises the coverage range of the safety accidents of the target enterprises.

According to the target rescue resources and rescue goods and materials held by the first target rescue units, a plurality of target rescue groups can be determined, and each target rescue group comprises at least one first target rescue unit.

In the actual application process, the available rescue resources closest to the target enterprise may not satisfy all the target rescue resources required by the target enterprise. The closest available rescue resources to the target business are likely only a portion of the target rescue resources needed by the target business. Thus, the target enterprise's rescue needs may not be met with only the nearest available rescue resources to the target enterprise.

Therefore, a plurality of target rescue groups can be determined according to the target rescue resources and rescue goods and materials held by the first target rescue units, the target rescue groups comprise at least one first target rescue unit, the rescue resources in the preset first range are integrated, and the first target rescue units are combined into different rescue groups, so that the rescue requirements of the target enterprises can be met as much as possible, and meanwhile, the timeliness and the efficiency of rescue can be improved.

In order to determine the target rescue group which can reach the target enterprise most quickly, the second target distance from each target rescue group to the target enterprise can be calculated according to the map data, so that the target rescue group which can reach the target enterprise most quickly to participate in rescue work can be determined to participate in the rescue work preferentially.

After the second target distances from the target rescue groups to the target enterprises are determined, the second target distances may be sorted according to the numerical values, and the target rescue groups which can reach the target enterprises to participate in rescue work most quickly may be determined according to the sorting result of the second target distances to participate in rescue work preferentially, for example, it may be determined that the target rescue group corresponding to the second target distance with the smallest value of the second target distances may reach the target enterprises to perform rescue most quickly, and then the rescue goods and materials held by the target rescue group corresponding to the second target distance with the smallest value of the second target distances are the rescue goods and materials which can be used by the target enterprises most quickly.

Therefore, the target rescue group corresponding to the second target distance with the smallest value among the second target distances and the rescue goods and materials held by the target rescue group can be determined to be the nearest available rescue resource to the target enterprise.

Step S503, determining rescue information matched with the target enterprise according to the rescue resources required by the target enterprise and the available rescue resources closest to the target enterprise.

Specifically, as can be seen from the above description, the method provided in the embodiment of the present application may determine, by taking the geographic location of the target enterprise as a center, the rescue resources required by the target enterprise and the available rescue resources closest to the target enterprise according to the accident type of the safety accident of the target enterprise and the spread range of the safety accident, and when the safety accident occurs to the target enterprise, the rescuable resources closest to the target enterprise are the rescue resources that can be obtained by the target enterprise at the fastest speed.

Therefore, in order to improve timeliness and efficiency of the rescue work of the target enterprise, after determining the rescue-available resource closest to the target enterprise, the rescue information matched with the target enterprise can be determined according to the rescue resource required by the target enterprise and the available rescue resource closest to the target enterprise.

According to the technical scheme, the method provided by the embodiment of the application can determine the rescue resources required by the target enterprise and the available rescue resources closest to the target enterprise by taking the geographical position of the target enterprise as the center according to the accident type of the safety accident of the target enterprise and the coverage range of the safety accident, and determine the rescue information matched with the target enterprise according to the rescue resources required by the target enterprise and the available rescue resources closest to the target enterprise, so that the rescue information can be recommended to the target enterprise, the target enterprise can timely perform rescue work by referring to the recommended rescue information, and meanwhile, the target enterprise can be helped to find the management vulnerability existing in the target enterprise and timely make an adjustment measure for the management work and timely make an adjustment measure according to the made adjustment measure, so that the target enterprise can be helped to timely eliminate potential safety hazards, the economic loss can be reduced, and the enterprise can be helped to construct and perfect a safety risk control and troubleshooting system.

In an actual application process, the first target data may include accident data related to a security accident that has occurred to the target enterprise, and when the first target data includes accident data related to a security accident that has occurred to the target enterprise, the method provided in this embodiment of the application may calculate a probability that the target enterprise has a similar security accident according to the security level of the target enterprise and the accident data related to a security accident that has occurred to the target enterprise, and determine adjustment information matching with the target enterprise according to the probability, and then, referring to fig. 6, the process may include the following steps:

step 601, calculating a first probability of similar safety accidents of the target enterprise according to the safety level of the target enterprise and accident data related to the safety accidents of the target enterprise.

Specifically, in an actual application process, the first target data may include accident data related to a security accident that has occurred at the target enterprise, and when the first target data includes accident data related to a security accident that has occurred at the target enterprise, it indicates that a security accident may occur or has occurred at the target enterprise.

As can be seen from the above description, the first target data may include data related to the security level of the target enterprise, and thus, in conjunction with the security level of the target enterprise and incident data related to security incidents that have occurred at the target enterprise, a first probability of similar security incidents occurring at the target enterprise may be calculated.

The first probability characterizes a probability that the target business may have a similar security incident as it had.

According to the first probability, some production safety states of the target enterprise can be reflected.

Step S602, determining third target adjustment information matched with the target enterprise according to the first probability.

Specifically, as can be seen from the foregoing description, the method provided in this embodiment of the present application may combine the security level of the target enterprise and accident data related to a security accident that has occurred once by the target enterprise, may calculate a first probability of the target enterprise occurring a similar security accident, and may determine, by combining the first probability and the current production security status of the target enterprise, a potential security hazard that may exist in the target enterprise, where management work of the target enterprise may have some management vulnerabilities, and the target enterprise may need to make some adjustments, and in order to avoid a similar security accident occurring again, may determine, according to the first probability, third target adjustment information that is matched with the target enterprise, and may be referred to when the target enterprise makes an adjustment.

Step S603, recommending the third target adjustment information to the target enterprise.

Specifically, as can be seen from the above description, the method provided in the embodiment of the present application may calculate a first probability that the target enterprise has a similar security incident according to the security level of the target enterprise and accident data related to the security incident that the target enterprise has ever occurred, and determine third target adjustment information matched with the target enterprise according to the first probability.

The third target adjustment information is formulated according to the accident type of the target enterprise and the first probability of similar safety accidents occurring at the target enterprise, so that the third target adjustment information can be referred to when the target enterprise carries out adjustment and modification.

Therefore, after the third target adjustment information is determined, the third target adjustment information can be recommended to the target enterprise, so that the enterprise can be helped to find the existing management loopholes in time, make the adjustment and modification measures aiming at the management work in time and carry out the adjustment and modification according to the made adjustment and modification measures.

According to the technical scheme, the method provided by the embodiment of the application can calculate the first probability of similar safety accidents of the target enterprise according to the safety level of the target enterprise and accident data related to the safety accidents of the target enterprise, and determines the third target adjustment information matched with the target enterprise according to the first probability, so that the target enterprise can be helped to discover the existing management loopholes and make adjustment measures aiming at management work in time and make adjustment according to the made adjustment measures, and the target enterprise can be helped to eliminate potential safety hazards in time, reduce economic loss of the enterprise, and help the enterprise to construct and perfect a safety risk control and hidden danger investigation governing system.

In an actual application process, the first target data may include accident data related to a security accident that the target enterprise has ever occurred, and when the first target data includes accident data related to a security accident that the target enterprise has ever occurred, the method provided by the embodiment of the present application may calculate a probability that the target enterprise has a similar security accident by analyzing the first target data, and determine the adjustment information matched with the target enterprise according to the probability. Referring next to fig. 7, the process will be described, which may include the following steps:

step S701, calculating a second probability of similar safety accidents of the target enterprise according to the production safety risk coefficient of the target enterprise and accident data related to the safety accidents of the target enterprise.

As can be seen from the above description, the first target data may include a production safety risk factor of the target enterprise, and thus, in combination with the production safety risk factor of the target enterprise and accident data associated with a safety accident that has occurred at the target enterprise, a second probability of the target enterprise having a similar safety accident may be calculated.

The second probability characterizes a probability that the target enterprise may have a similar security incident as it had.

According to the second probability, some production safety states of the target enterprise can be reflected.

Step S702, determining fourth target adjustment information matched with the target enterprise according to the second probability.

Specifically, as can be seen from the above description, the method provided in this embodiment of the present application may combine the production safety risk coefficient of the target enterprise and accident data related to a safety accident that the target enterprise has ever occurred, may calculate a second probability that the target enterprise has a similar safety accident, and may determine, by combining the second probability and the current production safety status of the target enterprise, a potential safety hazard that may exist in the target enterprise, where management work of the target enterprise may have some management vulnerabilities, and the target enterprise may need to make some adjustments, and in order to avoid a similar safety accident occurring again, may determine, according to the second probability, fourth target adjustment information matched with the target enterprise, and may be referred to when the target enterprise makes an adjustment.

Step S703, recommending the fourth target adjustment information to the target enterprise.

Specifically, as can be seen from the above description, the method provided in the embodiment of the present application may calculate a second probability that the target enterprise has a similar security accident according to the production security risk coefficient of the target enterprise and accident data related to the security accident that the target enterprise has ever occurred, and determine fourth target adjustment information matched with the target enterprise according to the second probability.

The fourth target adjustment information is formulated according to the accident type of the target enterprise and a second probability of similar safety accidents occurring at the target enterprise, so that the fourth target adjustment information can be referred to when the target enterprise carries out adjustment and modification.

Therefore, after the fourth target adjustment information is determined, the fourth target adjustment information can be recommended to the target enterprise, so that the enterprise can be helped to find the existing management loopholes in time, make the adjustment and modification measures aiming at the management work in time and carry out the adjustment and modification according to the made adjustment and modification measures.

According to the technical scheme, the method provided by the embodiment of the application can calculate the second probability of similar safety accidents of the target enterprise according to the production safety risk coefficient of the target enterprise and accident data related to the safety accidents which have occurred once by the target enterprise, and determines the fourth target adjustment information matched with the target enterprise according to the second probability, so that the target enterprise can be helped to discover the existing management loopholes and make adjustment and modification measures aiming at management work in time and perform adjustment and modification according to the made adjustment and modification measures, so that the target enterprise can be helped to eliminate potential safety hazards in time, the economic loss of the enterprise can be reduced, and the enterprise can be helped to construct and perfect a safety risk control and hidden danger investigation system.

The following describes an information recommendation device provided in an embodiment of the present application, and the information recommendation device described below and the information recommendation method described above may be referred to in correspondence with each other.

Referring to fig. 8, fig. 8 is a schematic structural diagram of an information recommendation device disclosed in the embodiment of the present application.

As shown in fig. 8, the information recommendation device may include:

a first data obtaining unit 101, configured to obtain first target data uploaded to a server by a target enterprise, where the first target data includes a target work task, the target work task is a work task that has not been completed by the target enterprise, the target work task belongs to a preset work task set, and the preset work task set is a set of all work tasks that need to be completed by the target enterprise;

a first adjustment information determining unit 102, configured to determine, according to the target work task, first target adjustment information corresponding to the target work task;

a first recommending unit 103, configured to recommend the first target adjustment information to the target enterprise.

As can be seen from the above-described technical solutions, the apparatus provided in the embodiment of the present application may utilize the first data obtaining unit 101 to obtain first target data uploaded to the server by a target enterprise, where the first target data may include a target work task, the target work task is a work task that has not been completed by the target enterprise, the target work task belongs to a preset work task set, and the preset work task set is a set of all work tasks that the target enterprise needs to complete; the target enterprise has an unfinished work task, which indicates that the target enterprise does not complete a related work task according to a preset requirement, and the management work of the target enterprise may have a management vulnerability, and it may be necessary to make a rectification measure and rectify according to the made rectification measure, so that after determining the first target data of the target enterprise, the unfinished target work task of the target enterprise may be determined, and the first target adjustment information corresponding to the target work task may be determined according to the target work task by using the first adjustment information determining unit 102; after the first target adjustment information is determined, a first recommendation unit 103 may be utilized to recommend the first target adjustment information to the target enterprise, so that the target enterprise refers to the first target adjustment information to make an adjustment and modification measure for its own management vulnerability in time and perform adjustment and modification according to the made adjustment and modification measure.

The device that this application embodiment provided can be based on target enterprise is the target work task that has not accomplished yet, the definite with adjustment information that target work task corresponds and recommend for target enterprise to target enterprise can refer to the adjustment information that recommends and in time discover the management leak that self exists, and the management leak that the management work to the enterprise exists in time formulates the rectification measure and carries out the rectification according to the rectification measure of formulating, so that can in time eliminate enterprise potential safety hazard, can reduce enterprise's economic loss, help the enterprise to establish and perfect safety risk management and control and hidden danger investigation governing system.

Further optionally, when the first target data further includes a security level of the target enterprise, the apparatus may further include:

the difference information determining unit is used for determining difference information between the current enterprise production safety condition of the target enterprise and a preset target training activity requirement according to the safety level of the target enterprise and the preset target training activity requirement;

the training information determining unit is used for determining training information matched with the difference information according to the difference information;

and the second recommending unit is used for recommending the training information to the target enterprise.

Further optionally, when the first target data further includes a production safety risk coefficient of the target enterprise, the apparatus may further include:

the potential safety hazard determining unit is used for determining the potential safety hazard of the target enterprise according to the production safety hazard coefficient of the target enterprise;

the second adjustment information determining unit is used for determining second target adjustment information matched with the potential safety hazard according to the potential safety hazard;

and the third recommending unit is used for recommending the second target adjustment information to the target enterprise.

Further optionally, when the first target data includes incident data related to a security incident of the target enterprise, the apparatus may further include:

the accident type determining unit is used for analyzing the first target data and determining the accident type of the safety accident of the target enterprise;

the coverage range determining unit is used for determining the coverage range of the safety accident of the target enterprise according to the accident type of the safety accident of the target enterprise;

the rescue information determining unit is used for determining rescue information matched with the target enterprise according to the accident type of the safety accident of the target enterprise and the spread range of the safety accident;

and the fourth recommending unit is used for recommending the rescue information to the target enterprise.

Further optionally, the rescue information determining unit may include:

the map data acquisition unit is used for acquiring map data of the geographic position of the target enterprise;

the rescue resource determining unit is used for determining rescue resources required by the target enterprise and available rescue resources closest to the target enterprise according to the accident type of the safety accident of the target enterprise and the coverage range of the safety accident by taking the geographical position of the target enterprise as a center, wherein the available rescue resources comprise rescue materials and rescue units;

and the rescue information determining subunit is used for determining the rescue information matched with the target enterprise according to the rescue resources required by the target enterprise and the available rescue resources closest to the target enterprise.

Further optionally, when the first target data includes accident data related to security accidents that have occurred at the target enterprise, the apparatus may further include:

the first probability determination unit is used for calculating a first probability of similar safety accidents of the target enterprise according to the safety level of the target enterprise and accident data related to the safety accidents of the target enterprise;

a third adjustment information determining unit, configured to determine, according to the first probability, third target adjustment information that is matched with the target enterprise;

and the fifth recommending unit is used for recommending the third target adjustment information to the target enterprise.

Further optionally, when the first target data includes accident data related to a security accident that has occurred at the target enterprise, the apparatus may further include:

the second probability determining unit is used for calculating a second probability of similar safety accidents of the target enterprise according to the production safety risk coefficient of the target enterprise and accident data related to the safety accidents of the target enterprise;

a fourth adjustment information determining unit, configured to determine fourth target adjustment information matched with the target enterprise according to the second probability;

and the sixth recommending unit is used for recommending the fourth target adjustment information to the target enterprise.

The specific processing flow of each unit included in the information recommendation apparatus may refer to the related description of the information recommendation method, and is not described herein again.

The information recommendation device provided by the embodiment of the application can be applied to information recommendation equipment, such as a terminal: mobile phones, computers, etc. Optionally, fig. 9 shows a block diagram of a hardware structure of the information recommendation device, and referring to fig. 9, the hardware structure of the information recommendation device may include: at least one processor 1, at least one communication interface 2, at least one memory 3 and at least one communication bus 4.

In the embodiment of the present application, the number of the processor 1, the communication interface 2, the memory 3, and the communication bus 4 is at least one, and the processor 1, the communication interface 2, and the memory 3 complete mutual communication through the communication bus 4.

The processor 1 may be a central processing unit CPU, or an Application 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 further include a non-volatile memory (non-volatile memory) or the like, such as at least one disk memory;

wherein the memory stores a program and the processor can call the program stored in the memory, the program for: and realizing each processing flow in the terminal information recommendation scheme.

Embodiments of the present application further provide a readable storage medium, where the storage medium may store a program adapted to be executed by a processor, where the program is configured to: and realizing each processing flow of the terminal in the information recommendation scheme.

Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.

The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.

The previous 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 generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. The various embodiments may be combined with each other. Thus, the present application is not intended to 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

1. An information recommendation method, comprising:

2. The method of claim 1, wherein the first target data further comprises a security level of the target enterprise, the method further comprising:

and recommending the training information to the target enterprise.

3. The method of claim 1, wherein the first target data further comprises a production safety risk factor of the target enterprise, the method further comprising:

4. A method according to any of claims 1-3, wherein the first target data comprises incident data relating to a security incident of the target enterprise, the method further comprising:

recommending the rescue information to the target enterprise.

5. The method according to claim 4, wherein the determining rescue information matched with the target enterprise according to the accident type of the safety accident of the target enterprise and the spread range of the safety accident comprises:

obtaining map data of the geographic position of the target enterprise;

6. The method of claim 2, wherein the first target data comprises incident data relating to security incidents that have occurred with the target enterprise, the method further comprising:

7. The method of claim 3, wherein the first target data comprises incident data relating to security incidents that have occurred with the target enterprise, the method further comprising:

and recommending the fourth target adjustment information to the target enterprise.

8. An information recommendation apparatus, comprising:

9. An information recommendation apparatus characterized by 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 information recommendation 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 information recommendation method according to any one of claims 1 to 7.