CN114418297A - Method and device for determining security risk, electronic equipment and storage medium - Google Patents
Method and device for determining security risk, electronic equipment and storage medium Download PDFInfo
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Abstract
The application provides a method, a device, an electronic device and a storage medium for determining security risk, wherein the method comprises the following steps: acquiring operation data of a target object; calculating a first numerical value for representing the accident severity of the target object according to casualty data and equipment operation data in the operation data; calculating a second numerical value which is predicted for the target object and is used for representing the accident occurrence possibility of the target object according to the safety training data and the accident occurrence data in the operation data; and calculating a third value for representing the security risk of the target object according to the product of the first value and the second value and the adjustment parameter set for the target object. According to the method, the accident occurrence possibility of the target object can be predicted, and the safety risk of the target object can be determined according to the predicted value.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a method and an apparatus for determining a security risk, an electronic device, and a storage medium.
Background
With the development of science, production safety concerns all walks of life, and when production operation is actually carried out, the greater the safety risk of an enterprise is, the greater the probability of safety accidents in the production process is, the more casualties are caused, and therefore, how to determine the size of the safety risk of the enterprise becomes the important factor for preventing the safety accidents.
The inventor finds in research that in the prior art, only historical accident occurrence data of an enterprise can be calculated, the accident occurrence possibility of the enterprise cannot be predicted, and the safety risk of the enterprise cannot be determined according to the predicted value.
Disclosure of Invention
In view of this, embodiments of the present application provide a method, an apparatus, an electronic device, and a storage medium for determining a security risk, so as to predict an accident occurrence probability of an enterprise and determine the security risk of the enterprise according to a predicted value.
In a first aspect, an embodiment of the present application provides a method for determining a security risk, where the method includes:
acquiring operation data of a target object;
calculating a first numerical value for representing the accident severity of the target object according to casualty data and equipment operation data in the operation data;
calculating a second numerical value which is predicted for the target object and is used for representing the accident occurrence possibility of the target object according to safety training data and accident occurrence data in the operation data;
and calculating a third numerical value for representing the security risk of the target object according to the product of the first numerical value and the second numerical value and an adjusting parameter set for the target object.
In one possible embodiment, calculating a first numerical value representing the severity of the accident of the target object according to the casualties data and the equipment operation data in the operation data comprises:
screening casualty data and equipment operation data in a first target time period from the operation data; the casualty data comprises: death and severe injury; the equipment operation data comprises equipment outage duration;
judging a target interval in which the death number is located in a first target time period; the target interval is preset;
acquiring a first requirement preset for the target interval;
and if the number of the serious injury people and the equipment outage duration meet the first requirement, determining that the first numerical value is a fourth numerical value preset for the target interval.
In a possible embodiment, after obtaining the first requirement preset for the target interval, the method further includes:
if at least one of the number of the serious injury people and the equipment outage duration does not meet the first requirement, determining at least one target data which does not meet the first requirement;
for each target data, determining a minimum threshold requirement for the target data in the first requirements, and calculating a difference between the minimum threshold requirement and the target data;
calculating a ratio between the difference and the minimum threshold requirement;
adjusting the fourth numerical value to a fifth numerical value according to the ratio corresponding to the at least one target data and the weight set for each target data;
determining the fifth value as the first value.
In one possible embodiment, the safety training data includes: the number of safety checks, average employment training before post, average learning of managers during initial training, average learning of managers during non-initial training;
the incident occurrence data includes: production safety accident starting number;
calculating a second numerical value for representing the accident occurrence probability of the target object predicted by the target object according to the safety training data and the accident occurrence data in the operation data, wherein the second numerical value comprises:
acquiring at least one second numerical value in a second target time period; the second numerical value comprises the production safety accident starting number, the safety inspection times, the pre-job average training time, the manager initial training average learning time and the manager non-initial training average learning time;
for each second numerical value, calculating a ratio of the second numerical value to the number of the second numerical values;
and taking the sum as the second numerical value according to the sum of the ratio corresponding to each second numerical value.
In one possible embodiment, the adjustment parameter is set according to a bonus penalty condition of the target object in a third target period;
the third value is a sum of the product and the adjustment parameter.
In a second aspect, an embodiment of the present application further provides an apparatus for determining a security risk, where the apparatus includes:
a first acquisition unit configured to acquire operation data of a target object;
the first calculation unit is used for calculating a first numerical value for representing the accident severity of the target object according to casualty data and equipment operation data in the operation data;
a second calculation unit, configured to calculate, according to safety training data and accident occurrence data in the operation data, a second numerical value that is predicted for the target object and is used for indicating the degree of accident occurrence probability of the target object;
and the data evaluation unit is used for calculating a third numerical value for representing the security risk of the target object according to the product of the first numerical value and the second numerical value and the adjustment parameter set for the target object.
In one possible embodiment, the first computing unit is configured to:
screening casualty data and equipment operation data in a first target time period from the operation data; the casualty data comprises: death and severe injury; the equipment operation data comprises equipment outage duration;
judging a target interval in which the death number is located in a first target time period; the target interval is preset;
acquiring a first requirement preset for the target interval;
and if the number of the serious injury people and the equipment outage duration meet the first requirement, determining that the first numerical value is a fourth numerical value preset for the target interval.
In one possible embodiment, the apparatus further comprises:
the first determining unit is used for determining at least one target data which does not meet a first requirement if at least one of the number of the serious injury persons and the equipment shutdown duration does not meet the first requirement after the first requirement preset for the target interval is obtained;
a third calculation unit, configured to determine, for each target data, a minimum threshold requirement for the target data in the first requirements, and calculate a difference between the minimum threshold requirement and the target data;
a fourth calculation unit for calculating a ratio between the difference and the minimum threshold requirement;
an adjusting unit, configured to adjust the fourth numerical value to a fifth numerical value according to a ratio corresponding to the at least one target data and a weight set for each target data;
a second determining unit configured to determine the fifth numerical value as the first numerical value.
In one possible embodiment, the safety training data includes: the number of safety checks, average employment training before post, average learning of managers during initial training, average learning of managers during non-initial training;
the incident occurrence data includes: production safety accident starting number;
the second calculating unit is specifically configured to, when calculating a second numerical value that is predicted for the target object and is used to indicate the degree of accident occurrence probability of the target object according to the safety training data and the accident occurrence data in the operation data,:
acquiring at least one second numerical value in a second target time period; the second numerical value comprises the production safety accident starting number, the safety inspection times, the pre-job average training time, the manager initial training average learning time and the manager non-initial training average learning time;
for each second numerical value, calculating a ratio of the second numerical value to the number of the second numerical values;
and taking the sum as the second numerical value according to the sum of the ratio corresponding to each second numerical value.
In one possible embodiment, the adjustment parameter is set according to a bonus penalty condition of the target object in a third target period;
the third value is a sum of the product and the adjustment parameter.
In a third aspect, an embodiment of the present application further provides an electronic device, including: a processor, a storage medium and a bus, the storage medium storing machine-readable instructions executable by the processor, the processor and the storage medium communicating over the bus when the electronic device is operated, the processor executing the machine-readable instructions to perform the steps of the method according to any one of the first aspect.
In a fourth aspect, this application further provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, performs the steps of the method according to any one of the first aspect.
According to the method, the device, the electronic equipment and the storage medium for determining the security risk, the operation data of the target object is acquired; calculating a first numerical value for representing the accident severity of the target object according to casualty data and equipment operation data in the operation data; calculating a second numerical value which is predicted for the target object and is used for representing the accident occurrence possibility of the target object according to safety training data and accident occurrence data in the operation data; and calculating a third numerical value for representing the security risk of the target object according to the product of the first numerical value and the second numerical value and an adjusting parameter set for the target object. Compared with the scheme that only historical accident occurrence data of the target object can be calculated in the prior art, the accident occurrence probability of the target object can be predicted, and the safety risk of the target object is determined according to the predicted value.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 shows a flowchart of a method for determining a security risk provided by an embodiment of the present application.
Fig. 2 is a flowchart illustrating a method for determining a first value according to an embodiment of the present disclosure.
Fig. 3 shows a schematic structural diagram of an apparatus for determining a security risk provided in an embodiment of the present application.
Fig. 4 shows a schematic structural diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, 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 should be understood that the drawings in the present application are for illustrative and descriptive purposes only and are not used to limit the scope of protection of the present application. Additionally, it should be understood that the schematic drawings are not necessarily drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be performed out of order, and steps without logical context may be performed in reverse order or simultaneously. One skilled in the art, under the guidance of this application, may add one or more other operations to, or remove one or more operations from, the flowchart.
In addition, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that in the embodiments of the present application, the term "comprising" is used to indicate the presence of the features stated hereinafter, but does not exclude the addition of further features.
It should be noted that the apparatuses, electronic devices, and the like according to the embodiments of the present application may be executed on a single server or may be executed in a server group. The server group may be centralized or distributed. In some embodiments, the server may be local or remote to the terminal. For example, the server may access information and/or data stored in the service requester terminal, the service provider terminal, or the database, or any combination thereof, via the network. As another example, the server may be directly connected to at least one of the service requester terminal, the service provider terminal and the database to access the stored information and/or data. In some embodiments, the server may be implemented on a cloud platform; by way of example only, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud (community cloud), a distributed cloud, an inter-cloud, a multi-cloud, and the like, or any combination thereof.
Fig. 1 shows a flowchart of a method for determining a security risk provided in an embodiment of the present application, and as shown in fig. 1, the method includes the following steps:
Specifically, the target object may be an object related to an actual production activity of a certain company, enterprise, factory, or the like. The operation data is all data generated by the target object during operation, and comprises casualty data, equipment operation data, safety training data and accident occurrence data. The operation data of the target object can be acquired from public materials or submitted by each target object. The operational data is saved to a database for retrieval from the database at the time of use.
And 102, calculating a first numerical value for representing the accident severity of the target object according to casualty data and equipment operation data in the operation data.
Specifically, the casualty data includes the number of dead people and the number of serious injuries. Severely injured persons also include those with acute toxicity. The equipment operation data includes equipment outage duration, specifically, the outage duration of a single equipment and the outage duration of a unit including a plurality of equipments. The first value is used for representing the severity degree of the production accident of the target object in the target time period. The casualty data represents the severity of the accident from a life level, and the more serious the accident, the more serious the casualty. The equipment outage duration represents the severity of the accident from the equipment level, and the more serious the accident is, the longer the equipment damage degree, the equipment maintenance duration and the equipment outage duration are caused.
Specifically, the safety training data comprises the times of safety inspection, average employment training before posts, average learning time of managers in initial training, and average learning time of managers in non-initial training; the accident occurrence data includes: the production safety accident is counted. The second numerical value is used for representing the probability of accidents possibly occurring in the target object in the future period; the second value is predicted based on the current safety training data of the target data and the accident occurrence data.
And 104, calculating a third numerical value for representing the security risk of the target object according to the product of the first numerical value and the second numerical value and an adjustment parameter set for the target object.
Specifically, the calculation formula of the third numerical value of the target object is as follows:
R＝LS+C；
wherein R is a third numerical value of the target object; l is a second numerical value, S is a first numerical value, and C is an adjustment parameter of the target object. The adjustment parameter is obtained according to the bonus and penalty condition of the target object in the third target time period. The embodiment of the application provides a method for determining adjustment parameters of a target object, if the target object is subjected to administrative punishment in a third target time period, major potential safety hazard registration supervision items exist in production, working place occupational disease and hazardous operation with moderate harm above exists, major supervised hazardous chemical process exists, major supervised hazardous chemicals exist, major danger exists, residential building urban and rural construction, transportation, emergency management, market supervision and fire rescue exist, five safety supervision responsibilities are listed as major supervision objects, and the adjustment parameters are added by one in total when the conditions occur once; if the target object obtains the awarding condition of the scientific and technological achievements in the safety production field in the third target time period, each time one market-level scientific and technological achievement award is obtained: and the total score of the adjusting parameters is reduced by 1, and each provincial scientific and technological achievement prize is obtained: the total adjustment parameter is reduced by 3 points; every time a national-level scientific and technological achievement prize is won: and the total adjustment parameter is reduced by 5 minutes.
According to the method for determining the security risk, provided by the embodiment of the application, the operation data of a target object is obtained; calculating a first numerical value for representing the accident severity of the target object according to casualty data and equipment operation data in the operation data; calculating a second numerical value which is predicted for the target object and is used for representing the accident occurrence possibility of the target object according to safety training data and accident occurrence data in the operation data; and calculating a third numerical value for representing the security risk of the target object according to the product of the first numerical value and the second numerical value and an adjusting parameter set for the target object. Compared with the scheme that only historical accident occurrence data of the target object can be calculated in the prior art, the accident occurrence probability of the target object can be predicted, and the safety risk of the target object is determined according to the predicted value.
In a possible implementation, fig. 2 shows a flowchart of a method for determining a first value provided in an example of the present application, and as shown in fig. 2, the method for determining the first value includes the following steps:
Specifically, the operation data is the operation data of the target object in each time interval, and when the first numerical value is determined, the operation data of the target object in each time interval does not need to be acquired, but only the operation data in the first target time interval needs to be acquired, and the first target time interval may be set according to actual conditions, for example, the first target time interval is set to be one year before calculation, six months before calculation time, and the like. And screening out the operation data within the first target time period at the time of the operation data from the operation data of the target object.
Specifically, a plurality of sections are preset in the system, after the operation data of the target object in the first target time period is screened out, the numerical value of the number of dead people in the operation data is determined, and the section in which the numerical value is located is judged.
In example 1, the predetermined intervals for the number of deaths are the first interval [0, 1 ], the second interval [1, 2], and the third interval [3, + ∞), respectively. Determining that the target interval is a second interval when the death number of the target object in the first target time interval is 1; when the death count of the target object in the first target period is 3, the target interval is determined to be a third interval.
Specifically, in the embodiment of the present application, the requirement of each interval is preset, and as described in example 1, when the target interval is the first interval, the first requirement is: the method comprises the following steps of (1) requiring that the number of serious injuries of a target object in a first target time period is more than or equal to 1 and less than 3, and the equipment outage duration is more than or equal to 3 days and less than 10 days; when the target interval is the second interval, the first requirement is as follows: the number of serious injury people is more than or equal to 3 and less than 9, and the equipment outage duration is more than or equal to 10 days and less than 30 days; when the target interval is the third interval, the first requirement is as follows: the number of serious injuries of the target object in the first target time period is more than or equal to 10, and the equipment outage time is more than or equal to 30 days.
It should be noted that, when the number of deaths is 0, the first requirement corresponding to the target interval further includes: the number of the serious injury persons is 0, and the equipment outage time is more than or equal to 1 day and less than 3 days; or, the number of the serious injury persons in the step (3) is required to be 0, and the equipment is stopped for less than 1 day. In the actual calculation process, a limit interval for the direct economic loss may be added to the first requirement, for example, the economic factor limit conditions respectively added to the requirement (1) corresponding to the first requirement in the first interval, the first requirement corresponding to the second interval, the first requirement corresponding to the third interval, the requirement (2) corresponding to the first requirement, and the requirement (3) corresponding to the first requirement are as follows: the direct economic loss corresponding to the production data is more than or equal to fifty thousand and less than one million, the direct economic loss corresponding to the production data is more than or equal to one million and less than ten million, the direct economic loss corresponding to the production data is more than or equal to ten million and less than fifty thousand, the direct economic loss corresponding to the production data is less than ten thousand, or, when the production safety accident does not cause any casualties and does not cause any equipment damage, the economic loss can be considered as the standard for measuring the severity of the accident.
And 204, if the number of the serious injury persons and the equipment shutdown time both meet the first requirement, determining that the first numerical value is a fourth numerical value preset for the target interval.
Specifically, when the number of the serious injury persons and the equipment outage duration both meet the first requirement, it is determined that the first numerical value is a fourth numerical value preset for the target interval. In the embodiment of the present application, as described in example 1, when the target interval is the third interval, the preset fourth value is 5, when the target interval is the second interval, the preset fourth value is 4, and when the target interval is the first interval: the preset fourth value is 3 when the requirement (1) in the first requirement is satisfied, 2 when the requirement (2) in the first requirement is satisfied, and 1 when the requirement (3) in the first requirement is satisfied.
In one possible embodiment, after performing step 101, the method further comprises the steps of:
if at least one of the number of the serious injury people and the equipment outage duration does not meet the first requirement, determining at least one target data which does not meet the first requirement; for each target data, determining a minimum threshold requirement for the target data in the first requirements, and calculating a difference between the minimum threshold requirement and the target data; calculating a ratio between the difference and the minimum threshold requirement; adjusting the fourth numerical value to a fifth numerical value according to the ratio corresponding to the at least one target data and the weight set for each target data; determining the fifth value as the first value.
Specifically, in the method described in step 203, assuming that the target interval is the third interval, the first requirement is: the number of serious injuries of the target object in the first target time period is more than or equal to 10, and the equipment outage time is more than or equal to 30 days. And the fourth value corresponding to the third interval being the target interval is 5.
For example, if the number of deaths of the target object in the first target time interval is 4 and the number of deaths specified in the third section is satisfied, it is determined whether the operation data of the target object satisfies the first requirement, if the number of heavy injuries in the target object is 5, the number of heavy injuries does not satisfy "the number of heavy injuries is greater than or equal to 10" specified in the first requirement, the number of heavy injuries is taken as the target data, the minimum threshold value corresponding to the first requirement of the target data is 10, the difference value between the minimum threshold value requirement and the target data is (10-5), and the ratio between the difference value and the minimum threshold value requirement is (10-5)
Setting a weight for each data involved in the first requirement, wherein the first requirement involves three data of the number of serious injuries and the equipment shutdown time, the preset weights of the three data are 0.7 and 0.3 respectively, and a method for calculating a fifth numerical value according to the weights comprises the following steps:
it should be noted that when the direct economic loss is added to the first requirement as the criterion for determining the severity of the accident according to step 203, the number of serious injuries, the down time of the equipment, and the direct economic loss may be weighted as follows: 0.4, 0.3 and recalculate the fifth value according to the method described above.
For example: assuming that the number of dead people of the target object in the first target time interval is 4 and the number of dead people in the third interval is satisfied, whether the number of serious injuries, the equipment outage time length and the direct economic loss of the target object meet the first requirement is judged, wherein the number of serious injuries of the target object in the first target time interval is greater than or equal to 10, the equipment outage time length is greater than or equal to 30 days, and the direct economic loss corresponding to the production data is greater than or equal to ten million.
If the number of serious injuries in the target object is 5, the equipment outage time is 30 days, and the direct economic loss is one million; the number of serious injury persons does not satisfy the "number of serious injury persons is greater than or equal to 10" specified in the first requirement, and the direct economic loss does not satisfy the "direct economic loss corresponding to the production data is greater than or equal to ten million" specified in the first requirement. And determining the target data as the number of serious injury people and direct economic loss.
The corresponding ratio of the number of the serious injury people is as follows:
the direct economic loss corresponds to a ratio of:
the fifth value is calculated by:
in one possible embodiment, the safety training data includes: the number of safety checks, average employment training before post, average learning of managers during initial training, average learning of managers during non-initial training; the incident occurrence data includes: the production safety accident is counted. The second value is obtained by: acquiring at least one second numerical value in a second target time period; the second numerical value comprises the production safety accident starting number, the safety inspection times, the pre-job average training time, the manager initial training average learning time and the manager non-initial training average learning time; for each second numerical value, calculating a ratio of the second numerical value to the number of the second numerical values; and taking the sum as the second numerical value according to the sum of the ratio corresponding to each second numerical value.
Fig. 3 shows a schematic structural diagram of an apparatus for determining a security risk according to an embodiment of the present application, where as shown in fig. 3, the apparatus includes: a first acquisition unit 301, a first calculation unit 302, a second calculation unit 303, a data evaluation unit 304.
A first obtaining unit 301, configured to obtain operation data of a target object.
A first calculating unit 302, configured to calculate a first numerical value representing the severity of the accident of the target object according to the casualties data and the equipment operation data in the operation data.
A second calculating unit 303, configured to calculate, according to the safety training data and the accident occurrence data in the operation data, a second numerical value that is predicted for the target object and is used for indicating the size of the accident occurrence probability of the target object.
A data evaluation unit 304, configured to calculate a third value representing the security risk of the target object according to the product of the first value and the second value and the adjustment parameter set for the target object.
In one possible embodiment, the first computing unit is configured to:
screening casualty data and equipment operation data in a first target time period from the operation data; the casualty data comprises: death and severe injury; the equipment operation data includes an equipment outage duration.
Judging a target interval in which the death number is located in a first target time period; the target interval is preset.
And acquiring a first requirement preset for the target interval.
And if the number of the serious injury people and the equipment outage duration meet the first requirement, determining that the first numerical value is a fourth numerical value preset for the target interval.
In one possible embodiment, the apparatus further comprises:
and the first determining unit is used for determining at least one target data which does not meet a first requirement if at least one of the number of the serious injury persons and the equipment shutdown time does not meet the first requirement after the first requirement preset for the target interval is obtained.
And the third calculation unit is used for determining the minimum threshold requirement aiming at the target data in the first requirements aiming at each target data, and calculating the difference between the minimum threshold requirement and the target data.
A fourth calculation unit for calculating a ratio between the difference and the minimum threshold requirement.
And the adjusting unit is used for adjusting the fourth numerical value to a fifth numerical value according to the ratio corresponding to the at least one target data and the weight set for each target data.
A second determining unit configured to determine the fifth numerical value as the first numerical value.
In one possible embodiment, the safety training data includes: the number of safety checks, average employment training before post, average learning of managers during initial training, and average learning of managers during non-initial training.
The incident occurrence data includes: the production safety accident is counted.
The second calculating unit is specifically configured to, when calculating a second numerical value that is predicted for the target object and is used to indicate the degree of accident occurrence probability of the target object according to the safety training data and the accident occurrence data in the operation data,:
acquiring at least one second numerical value in a second target time period; the second numerical value comprises the production safety accident starting number, the safety inspection times, the average pre-post employment training time, the average manager initial training time and the average manager non-initial training time.
For each second value, calculating a ratio of the second value to the number of the second values.
And taking the sum as the second numerical value according to the sum of the ratio corresponding to each second numerical value.
In one possible embodiment, the adjustment parameter is set according to a bonus penalty condition of the target object in a third target period.
The third value is a sum of the product and the adjustment parameter.
According to the device for determining the security risk, provided by the embodiment of the application, the operation data of the target object is obtained; calculating a first numerical value for representing the accident severity of the target object according to casualty data and equipment operation data in the operation data; calculating a second numerical value which is predicted for the target object and is used for representing the accident occurrence possibility of the target object according to safety training data and accident occurrence data in the operation data; and calculating a third numerical value for representing the security risk of the target object according to the product of the first numerical value and the second numerical value and an adjusting parameter set for the target object. Compared with the scheme that only historical accident occurrence data of the target object can be calculated in the prior art, the accident occurrence probability of the target object can be predicted, and the safety risk of the target object is determined according to the predicted value.
Fig. 4 shows a schematic structural diagram of an electronic device provided in an embodiment of the present application, including: a processor 401, a storage medium 402 and a bus 403, wherein the storage medium 402 stores machine-readable instructions executable by the processor 401, the processor 401 and the storage medium 402 communicate via the bus 403 when the electronic device executes a method of determining a security risk as in the embodiments, and the processor 401 executes the machine-readable instructions to perform the steps as in the embodiments.
In an embodiment, the storage medium 402 may further execute other machine-readable instructions to perform other methods as described in the embodiments, and for the method steps and principles of specific execution, reference is made to the description of the embodiments, which is not described in detail herein.
Embodiments of the present application further provide a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor when the computer program is executed to perform the steps in the embodiments.
In the embodiments of the present application, when being executed by a processor, the computer program may further execute other machine-readable instructions to perform other methods as described in the embodiments, and for the method steps and principles of specific execution, reference is made to the description of the embodiments, and details are not repeated here.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical division, and there may be other divisions in actual implementation, and for example, a plurality of modules or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or modules through some communication interfaces, and may be in an electrical, mechanical or other form.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method of determining a security risk, the method comprising:
acquiring operation data of a target object;
calculating a first numerical value for representing the accident severity of the target object according to casualty data and equipment operation data in the operation data;
calculating a second numerical value which is predicted for the target object and is used for representing the accident occurrence possibility of the target object according to safety training data and accident occurrence data in the operation data;
and calculating a third numerical value for representing the security risk of the target object according to the product of the first numerical value and the second numerical value and an adjusting parameter set for the target object.
2. The method of claim 1, wherein calculating a first numerical value representing the severity of the accident of the target object according to casualty data and equipment operation data in the operation data comprises:
screening casualty data and equipment operation data in a first target time period from the operation data; the casualty data comprises: death and severe injury; the equipment operation data comprises equipment outage duration;
judging a target interval in which the death number is located in a first target time period; the target interval is preset;
acquiring a first requirement preset for the target interval;
and if the number of the serious injury people and the equipment outage duration meet the first requirement, determining that the first numerical value is a fourth numerical value preset for the target interval.
3. The method according to claim 2, wherein after acquiring the first requirement preset for the target interval, the method further comprises:
if at least one of the number of the serious injury people and the equipment outage duration does not meet the first requirement, determining at least one target data which does not meet the first requirement;
for each target data, determining a minimum threshold requirement for the target data in the first requirements, and calculating a difference between the minimum threshold requirement and the target data;
calculating a ratio between the difference and the minimum threshold requirement;
adjusting the fourth numerical value to a fifth numerical value according to the ratio corresponding to the at least one target data and the weight set for each target data;
determining the fifth value as the first value.
4. The method of claim 1, wherein the safety training data comprises: the number of safety checks, average employment training before post, average learning of managers during initial training, average learning of managers during non-initial training;
the incident occurrence data includes: production safety accident starting number;
calculating a second numerical value for representing the accident occurrence probability of the target object predicted by the target object according to the safety training data and the accident occurrence data in the operation data, wherein the second numerical value comprises:
acquiring at least one second numerical value in a second target time period; the second numerical value comprises the production safety accident starting number, the safety inspection times, the pre-job average training time, the manager initial training average learning time and the manager non-initial training average learning time;
for each second numerical value, calculating a ratio of the second numerical value to the number of the second numerical values;
and taking the sum as the second numerical value according to the sum of the ratio corresponding to each second numerical value.
5. The method of claim 1, wherein the adjustment parameter is set according to a bonus penalty condition of the target object for a third target period;
the third value is a sum of the product and the adjustment parameter.
6. An apparatus for determining a security risk, the apparatus comprising:
a first acquisition unit configured to acquire operation data of a target object;
the first calculation unit is used for calculating a first numerical value for representing the accident severity of the target object according to casualty data and equipment operation data in the operation data;
a second calculation unit, configured to calculate, according to safety training data and accident occurrence data in the operation data, a second numerical value that is predicted for the target object and is used for indicating the degree of accident occurrence probability of the target object;
and the data evaluation unit is used for calculating a third numerical value for representing the security risk of the target object according to the product of the first numerical value and the second numerical value and the adjustment parameter set for the target object.
7. The apparatus of claim 6, wherein the first computing unit is configured to:
screening casualty data and equipment operation data in a first target time period from the operation data; the casualty data comprises: death and severe injury; the equipment operation data comprises equipment outage duration;
judging a target interval in which the death number is located in a first target time period; the target interval is preset;
acquiring a first requirement preset for the target interval;
and if the number of the serious injury people and the equipment outage duration meet the first requirement, determining that the first numerical value is a fourth numerical value preset for the target interval.
8. The apparatus of claim 7, further comprising:
the first determining unit is used for determining at least one target data which does not meet a first requirement if at least one of the number of the serious injury persons and the equipment shutdown duration does not meet the first requirement after the first requirement preset for the target interval is obtained;
a third calculation unit, configured to determine, for each target data, a minimum threshold requirement for the target data in the first requirements, and calculate a difference between the minimum threshold requirement and the target data;
a fourth calculation unit that calculates a ratio between the difference value and the minimum threshold requirement;
an adjusting unit, configured to adjust the fourth numerical value to a fifth numerical value according to a ratio corresponding to the at least one target data and a weight set for each target data;
a second determining unit configured to determine the fifth numerical value as the first numerical value.
9. An electronic device, comprising: a processor, a storage medium and a bus, the storage medium storing machine-readable instructions executable by the processor, the processor and the storage medium communicating via the bus when the electronic device is operating, the processor executing the machine-readable instructions to perform the steps of the method of determining a security risk according to any one of claims 1 to 5.
10. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of determining a security risk according to any one of claims 1 to 5.
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