CN115796605A - Risk level assessment method and device for major hazard source and electronic equipment - Google Patents
Risk level assessment method and device for major hazard source and electronic equipment Download PDFInfo
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Abstract
The invention provides a method and a device for evaluating risk level of a major hazard source and electronic equipment, belonging to the technical field of risk management and comprising the following steps: determining a major hazard source; counting all operation events influencing the risk level of the major hazard source in real time; adopting an accident development model to carry out accident development analysis on each operation event to obtain a corresponding accident type and the occurrence probability of each accident type; acquiring a receptor in a preset range of a major hazard source in real time; determining the hazard elements of the accident acting on the bearing body according to the accident type, and determining the strength of the hazard elements acting on the bearing body; determining the degree of damage of the receptive material based on the intensity; and performing risk grade analysis on the accident types corresponding to the major hazard sources, the occurrence probability of each accident type and the damage degree of the receptor by adopting a risk grade analysis model to obtain the current risk grade of the major hazard sources. The method determines the current risk level of the major hazard source more accurately and has good real-time performance.
Description
Technical Field
The invention relates to the technical field of risk management, in particular to a method and a device for evaluating risk level of a major hazard source and electronic equipment.
Background
The hazard source refers to a part, an area, a place, a space, a post, equipment and a position thereof in a system, wherein the part, the area, the place, the space, the post, the equipment and the position thereof have potential energy and substance release risks, can cause personnel injury and can be converted into an accident under the action of a certain trigger factor. The essence of the system is a source point or a part with potential danger, a source of an explosion accident, a core of concentration of energy and dangerous substances, and a place from which the energy is transmitted or exploded. The danger source exists in a certain system, the area of the danger source is different from system to system, and the major danger source refers to the danger source with the danger exceeding the set acceptable range.
Quantitative analysis of the risk level of the major hazard source in the production process is crucial to risk management, and how to accurately evaluate the risk level of the major hazard source in the construction operation process on a construction site becomes a technical problem which needs to be solved urgently at present. At present, the quantitative analysis of the risk classification of major hazard sources includes: and (4) evaluating an original risk level evaluation value without any control measures and increasing the residual risk level of the major hazard source after the risk control measures are increased by depending on experience. The evaluation of the original risk level and the evaluation of the remaining risk level are both realized by the personal subjective experience of an experienced expert and are static, that is, the evaluation only obtains the risk level of the major hazard at a certain time point, and the risk level of the major hazard obtained by the personal subjective experience evaluation is limited by the personal subjective experience, so that the accuracy is poor.
In summary, the risk level of the major hazard source obtained by the evaluation in the prior art is too subjective and has poor accuracy, and the risk level of the major hazard source at each time point cannot be reflected, that is, dynamic monitoring and evaluation cannot be realized.
Disclosure of Invention
In view of this, the present invention aims to provide a method, an apparatus, and an electronic device for evaluating a risk level of a major hazard source, so as to solve the technical problems that a risk level of a major hazard source obtained by evaluation in the prior art is too subjective, accuracy is poor, and dynamic monitoring and evaluation cannot be achieved.
In a first aspect, an embodiment of the present invention provides a method for evaluating a risk level of a major hazard source, including:
determining a major hazard source of a construction site;
dynamically counting all operation events influencing the risk level of the major hazard source in real time;
adopting an accident development model to carry out accident development analysis on each operation event to obtain an accident type corresponding to the major hazard source and the probability of each accident type;
dynamically acquiring a receptor in the preset range of the major hazard source in the construction site in real time;
determining a hazard element of an accident acting on the bearing body according to the accident type, and determining the strength of the hazard element acting on the bearing body by adopting a bearing body bearing model;
determining a degree of damage to the recipient based on the intensity;
and performing risk grade analysis on the accident types corresponding to the major hazard sources, the occurrence probability of each accident type and the damage degree of the acceptor by adopting a risk grade analysis model to obtain the current risk grade of the major hazard sources.
Further, the method further comprises:
obtaining a historical accident sample, wherein the historical accident sample comprises: historical operation event samples and accident type truth values;
and training an initial accident development model through the historical accident sample to obtain the accident development model.
Further, determining the strength of the hazardous element acting on the bearing body by using a bearing body bearing model, which comprises the following steps:
acquiring the distance between the accepting object and the major hazard source;
and inputting the distance and the hazard elements into the bearing body bearing model to obtain the strength of the hazard elements acting on the bearing body.
Further, determining the degree of damage of the receptor based on the intensity comprises:
acquiring a preset bearing strength relation of each bearing body, wherein the bearing strength relation is a corresponding relation between a bearing strength range and a damage degree;
and determining the damage degree of the bearing body according to the relationship between the strength and the bearing strength of the bearing body.
Further, the method further comprises:
acquiring an accident type sample, a probability sample of each accident type, a damage degree sample of a receiver and a risk level truth value;
training an initial risk grade analysis model through the accident type sample, the probability sample of each accident type, the damage degree sample of the acceptance body and the risk grade true value to obtain the risk grade analysis model.
Further, after obtaining the current risk level of the significant hazard, the method further comprises:
and if the current risk level is greater than a preset risk level threshold value, carrying out risk early warning.
Further, the acceptor comprises at least one of: personnel, buildings, equipment, natural environments;
the accident type includes at least one of: explosion, fire, electric shock, lifting injury, high falling and toxic gas;
the hazardous elements include at least one of: shock waves, thermal radiation, toxic gases, electrical radiation, chemical radiation.
In a second aspect, an embodiment of the present invention further provides a risk level assessment apparatus for a major hazard source, including:
the first determination unit is used for determining a major hazard source of a construction site;
the dynamic statistical unit is used for dynamically counting all operation events influencing the risk level of the major hazard source in real time;
the accident development analysis unit is used for carrying out accident development analysis on each operation event by adopting an accident development model to obtain an accident type corresponding to the major hazard source and the probability of occurrence of each accident type;
the dynamic acquisition unit is used for dynamically acquiring a bearing body in the preset range of the major hazard source in the construction site in real time;
the second determining unit is used for determining the hazard elements of the accident acting on the bearing body according to the accident type and determining the strength of the hazard elements acting on the bearing body by adopting a bearing body bearing model;
a third determination unit for determining the degree of damage of the acceptor based on the intensity;
and the risk grade analysis unit is used for carrying out risk grade analysis on the accident type corresponding to the major hazard source, the occurrence probability of each accident type and the damage degree of the acceptor by adopting a risk grade analysis model to obtain the current risk grade of the major hazard source.
In a third aspect, an embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method according to any one of the above first aspects when executing the computer program.
In a fourth aspect, embodiments of the present invention also provide a computer-readable storage medium storing machine executable instructions, which when invoked and executed by a processor, cause the processor to perform the method of any of the first aspect.
In an embodiment of the present invention, a method for assessing a risk level of a major hazard is provided, including: determining a major hazard source of a construction site; dynamically counting each operation event influencing the risk level of the major hazard source in real time; adopting an accident development model to carry out accident development analysis on each operation event to obtain an accident type corresponding to the major hazard source and the probability of occurrence of each accident type; dynamically acquiring a receptor in a preset range of a major hazard source in a construction site in real time; determining the hazard elements of the accident acting on a bearing body according to the accident type, and determining the strength of the hazard elements acting on the bearing body by adopting a bearing body bearing model; determining the degree of damage of the receptive material based on the intensity; and performing risk grade analysis on the accident types corresponding to the major hazard sources, the occurrence probability of each accident type and the damage degree of the receptor by adopting a risk grade analysis model to obtain the current risk grade of the major hazard sources. According to the above description, the risk level assessment method for the major hazard source is obtained by analyzing each operation event affecting the risk level of the major hazard source and the damage degree of the receptor within the preset range of the major hazard source, and the obtained current risk level of the major hazard source is more accurate by adopting multiple models for comprehensive analysis.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a risk level assessment method for a major hazard according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a risk level assessment apparatus for a major hazard according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The traditional risk level assessment methods are all realized by depending on the personal subjective experience of experienced experts and are static, that is, the assessment only obtains the risk level of a certain time point of a major hazard source, the risk level of the major hazard source obtained by the personal subjective experience assessment is limited by the personal subjective experience, the accuracy is poor, in addition, the risk level of the major hazard source only can be obtained at the certain time point, and the real-time monitoring and assessment on the risk level of the major hazard source cannot be carried out.
Based on the above, in the method for evaluating the risk level of the major hazard source, the operation events influencing the risk level of the major hazard source and the damage degree of the receptor within the preset range of the major hazard source are obtained by analyzing, and the obtained current risk level of the major hazard source is more accurate by adopting a plurality of models for comprehensive analysis.
For the understanding of the embodiment, the method for assessing the risk level of a major hazard disclosed in the embodiment of the present invention will be described in detail first.
The first embodiment is as follows:
in accordance with an embodiment of the present invention, there is provided an embodiment of a method for risk rating of significant risk sources, it being noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions and that, although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than that presented herein.
FIG. 1 is a flow chart of a method for risk rating assessment of a significant hazard according to an embodiment of the present invention, as shown in FIG. 1, the method comprising the steps of:
step S102, determining a major hazard source of a construction site;
in the embodiment of the invention, the construction site can be any construction operation process on a construction site, the major hazard source can be a hazard source causing high altitude falling, a hazard source causing lifting injury, a hazard source causing poisoning suffocation, a hazard source causing fire, a hazard source causing explosion and the like, the major hazard source on the construction site can be determined according to the specific construction site, and the major hazard source can be determined according to experience.
Step S104, dynamically counting each operation event influencing the risk level of the major hazard source in real time;
specifically, the above-mentioned operation events affecting the risk level of the major hazard source are preset empirically, for example, the major hazard source is a hazard source causing a high fall, and then the operation events affecting the risk level of the major hazard source may be events in which an object at a high position is unstable, events in which wind speed is high, events in which an object at a high position is not bound, and the like, including various human and non-human events affecting the risk level of the hazard source causing a high fall.
The operation events can be acquired through the image acquisition device and then acquired through later-stage image processing.
Step S106, adopting an accident development model to carry out accident development analysis on each operation event to obtain an accident type corresponding to the major hazard source and the probability of each accident type;
specifically, the accident type includes at least one of the following: explosion, fire, electric shock, lifting injury, high-altitude falling, toxic gas, and of course, other accident types may be included, and the accident types are not particularly limited in the embodiments of the present invention.
Step S108, dynamically acquiring a receptor in a preset range of a major hazard source in a construction site in real time;
the preset range may be different according to different major hazard sources, for example, if the major hazard source may cause an explosion, the preset range may be an influence range of the explosion, and if the major hazard source may cause a fire, the preset range may be an influence range of the fire, and therefore, the preset range is not described one by one.
The acceptor includes at least one of: personnel, buildings, equipment and natural environment, of course, the above mentioned acceptance body can also include other things according to the needs, and the acceptance body is not limited in particular by the embodiment of the present invention.
Step S110, determining a hazard element of the accident acting on a bearing body according to the accident type, and determining the strength of the hazard element acting on the bearing body by adopting a bearing body bearing model;
specifically, the hazardous elements include at least one of: shock waves, thermal radiation, toxic gases, electrical radiation, chemical radiation. The strength of the above-mentioned harmful elements in the bearing body is described in detail below, and will not be described herein again.
Step S112, determining the damage degree of the acceptor based on the intensity;
the process is described in detail below, and is not described herein again.
And step S114, performing risk grade analysis on the accident types corresponding to the major hazard sources, the occurrence probability of each accident type and the damage degree of the acceptor by using a risk grade analysis model to obtain the current risk grade of the major hazard sources.
In an embodiment of the present invention, a method for assessing a risk level of a major hazard is provided, including: determining a major hazard source of a construction site; dynamically counting each operation event influencing the risk level of the major hazard source in real time; adopting an accident development model to carry out accident development analysis on each operation event to obtain an accident type corresponding to the major hazard source and the probability of each accident type; dynamically acquiring a receptor in a preset range of a major hazard source in a construction site in real time; determining the hazard elements of the accident acting on the bearing body according to the accident type, and determining the strength of the hazard elements acting on the bearing body by adopting a bearing body bearing model; determining the degree of damage of the receptive material based on the intensity; and performing risk grade analysis on the accident types corresponding to the major hazard sources, the occurrence probability of each accident type and the damage degree of the receptor by adopting a risk grade analysis model to obtain the current risk grade of the major hazard sources. According to the above description, the risk level assessment method for the major hazard source is obtained by analyzing each operation event affecting the risk level of the major hazard source and the damage degree of the receptor within the preset range of the major hazard source, and the obtained current risk level of the major hazard source is more accurate by adopting multiple models for comprehensive analysis.
In an optional embodiment of the invention, the method further comprises:
(1) Obtaining a historical incident sample, wherein the historical incident sample comprises: historical operation event samples and accident type truth values;
(2) And training the initial accident development model through the historical accident sample to obtain the accident development model.
Specifically, the accident development model is obtained by training through training data, the robustness is better, a hit historical accident sample can be collected in advance, and then the initial accident development model is trained through the historical accident sample to obtain the accident development model.
In an optional embodiment of the present invention, in the step S110, determining the strength of the hazardous element acting on the load bearing body by using the load bearing body bearing model specifically includes the following steps:
(1) Acquiring the distance between a bearing body and a major hazard source;
(2) And inputting the distance and the hazard elements into a bearing body bearing model to obtain the strength of the hazard elements acting on the bearing body.
Specifically, the accepting body bearing model is obtained by training through training data, and of course, the strength of the hazard element acting on the accepting body may also be determined in other ways, for example, the distance and the corresponding relationship between the hazard element and the strength of the hazard element acting on the accepting body are preset, and after the distance and the hazard element are obtained, the strength of the hazard element acting on the accepting body can be obtained by matching the obtained distance and the hazard element with the corresponding relationship.
In an optional embodiment of the present invention, the step S112 of determining the damage degree of the receptor based on the intensity specifically includes the following steps:
(1) Acquiring a preset bearing strength relation of each bearing body, wherein the bearing strength relation is a corresponding relation between a bearing strength range and a damage degree;
(2) And determining the damage degree of the bearing body according to the relationship between the strength and the bearing strength of the bearing body.
Specifically, the strength is matched with the bearing strength relation of the bearing body, and the damage degree of the bearing body is determined according to the damage degree corresponding to the bearing strength range to which the strength belongs.
In an optional embodiment of the invention, the method further comprises:
(1) Acquiring an accident type sample, a probability sample of each accident type, a damage degree sample of a receiver and a risk level true value;
(2) Training the initial risk level analysis model through the accident type sample, the probability sample of each accident type, the damage degree sample of the acceptance body and the risk level true value to obtain the risk level analysis model.
Specifically, the risk level analysis model is obtained through training of training data, and is more scientific and good in robustness.
In an optional embodiment of the invention, after obtaining the current risk level of the significant hazard, the method further comprises:
and if the current risk level is greater than a preset risk level threshold value, carrying out risk early warning.
The risk grade assessment method for the major hazard source improves the accuracy of the risk grade assessment of the major hazard source, can realize real-time assessment, carries out risk early warning in time, and is more scientific, safe and reliable.
Example two:
the embodiment of the present invention further provides a device for evaluating the risk level of the major hazard source, where the device is mainly used to execute the method for evaluating the risk level of the major hazard source provided in the first embodiment of the present invention, and the device for evaluating the risk level of the major hazard source provided in the first embodiment of the present invention is specifically described below.
Fig. 2 is a schematic diagram of a risk level assessment apparatus for a major hazard according to an embodiment of the present invention, as shown in fig. 2, the apparatus mainly includes: a first determination unit 10, a dynamic statistics unit 20, an accident development analysis unit 30, a dynamic acquisition unit 40, a second determination unit 50, a third determination unit 60 and a risk level analysis unit 70, wherein:
the first determination unit is used for determining a major hazard source of a construction site;
the dynamic statistical unit is used for dynamically counting all operation events influencing the risk level of the major hazard source in real time;
the accident development analysis unit is used for carrying out accident development analysis on each operation event by adopting an accident development model to obtain an accident type corresponding to the major hazard source and the occurrence probability of each accident type;
the dynamic acquisition unit is used for dynamically acquiring a receptor in a preset range of a major hazard source in a construction site in real time;
the second determining unit is used for determining the hazard elements of the accident acting on the bearing body according to the accident type and determining the strength of the hazard elements acting on the bearing body by adopting the bearing body bearing model;
a third determination unit for determining the degree of damage of the receptive material based on the intensity;
and the risk grade analysis unit is used for carrying out risk grade analysis on the accident types corresponding to the major hazard source, the occurrence probability of each accident type and the damage degree of the acceptor by adopting a risk grade analysis model to obtain the current risk grade of the major hazard source.
In an embodiment of the present invention, a risk level assessment apparatus for a major hazard is provided, including: determining a major hazard source of a construction site; dynamically counting each operation event influencing the risk level of the major hazard source in real time; adopting an accident development model to carry out accident development analysis on each operation event to obtain an accident type corresponding to the major hazard source and the probability of occurrence of each accident type; dynamically acquiring a bearing body in a preset range of a major hazard source in a construction site in real time; determining the hazard elements of the accident acting on a bearing body according to the accident type, and determining the strength of the hazard elements acting on the bearing body by adopting a bearing body bearing model; determining the degree of damage of the receptive material based on the intensity; and performing risk grade analysis on the accident types corresponding to the major hazard sources, the occurrence probability of each accident type and the damage degree of the acceptor by using a risk grade analysis model to obtain the current risk grade of the major hazard sources. According to the above description, the risk level evaluation device for the major hazard source is obtained by analyzing each operation event affecting the risk level of the major hazard source and the damage degree of the receptor within the preset range of the major hazard source, and the obtained current risk level of the major hazard source is more accurate by adopting multiple models for comprehensive analysis.
Optionally, the apparatus is further configured to: obtaining a historical accident sample, wherein the historical accident sample comprises: historical work event samples and accident type truth values; and training the initial accident development model through the historical accident sample to obtain the accident development model.
Optionally, the second determining unit is further configured to: acquiring the distance between a bearing body and a major hazard source; and inputting the distance and the hazard elements into a bearing body bearing model to obtain the strength of the hazard elements acting on the bearing body.
Optionally, the third determining unit is further configured to: acquiring a preset bearing strength relation of each bearing body, wherein the bearing strength relation is a corresponding relation between a bearing strength range and a damage degree; and determining the damage degree of the bearing body according to the relationship between the strength and the bearing strength of the bearing body.
Optionally, the apparatus is further configured to: acquiring an accident type sample, a probability sample of each accident type, a damage degree sample of a receiver and a risk level truth value; and training the initial risk level analysis model through the accident type sample, the probability sample of each accident type, the damage degree sample of the acceptor and the risk level true value to obtain the risk level analysis model.
Optionally, the apparatus is further configured to: and if the current risk level is greater than a preset risk level threshold value, carrying out risk early warning.
Optionally, the carrier includes at least one of: personnel, buildings, equipment, natural environments; the type of incident includes at least one of: explosion, fire, electric shock, lifting injury, high falling and toxic gas; the hazardous elements include at least one of: shock waves, thermal radiation, toxic gases, electrical radiation, chemical radiation.
The device provided by the embodiment of the present invention has the same implementation principle and technical effect as the method embodiments, and for the sake of brief description, reference may be made to the corresponding contents in the method embodiments without reference to the device embodiments.
As shown in fig. 3, an electronic device 600 provided in an embodiment of the present application includes: a processor 601, a memory 602 and a bus, wherein the memory 602 stores machine-readable instructions executable by the processor 601, when the electronic device is operated, the processor 601 and the memory 602 communicate with each other through the bus, and the processor 601 executes the machine-readable instructions to perform the steps of the risk level assessment method for the serious risk source.
Specifically, the memory 602 and the processor 601 can be general-purpose memories and processors, and are not limited in particular, and when the processor 601 runs a computer program stored in the memory 602, the method for assessing the risk level of the serious risk source can be executed.
The processor 601 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 601. The Processor 601 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-programmable gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, or discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 602, and the processor 601 reads the information in the memory 602 and completes the steps of the method in combination with the hardware thereof.
In response to the above method for assessing the risk level of the serious risk source, an embodiment of the present application further provides a computer-readable storage medium, where machine executable instructions are stored, and when the computer executable instructions are called and executed by a processor, the computer executable instructions cause the processor to execute the steps of the method for assessing the risk level of the serious risk source.
The risk level assessment device for the major hazard source provided by the embodiment of the application can be specific hardware on the equipment, or software or firmware installed on the equipment, and the like. The device provided in the embodiment of the present application has the same implementation principle and the same technical effects as those of the foregoing method embodiments, and for the sake of brief description, reference may be made to corresponding contents in the foregoing method embodiments for the absence of any mention in the device embodiment. It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the foregoing systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units 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 coupling or direct coupling or communication connection between each other may be through some communication interfaces, indirect coupling or communication connection between devices or units, and may be in an electrical, mechanical or other form.
For another example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described as separate parts may or may not be physically separate, and parts displayed as units 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 provided in 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 computer readable storage medium. 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 an electronic device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the vehicle marking 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 usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures, and moreover, the terms "first," "second," "third," etc. are used merely to distinguish one description from another, and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used for illustrating the technical solutions of the present application, but not limiting the same, and the scope of the present application is not limited thereto, and although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the scope of the embodiments of the present application. Are intended to be covered by the scope of this application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A risk level assessment method for a major hazard, comprising:
determining a major hazard source of a construction site;
dynamically counting all operation events influencing the risk level of the major hazard source in real time;
adopting an accident development model to carry out accident development analysis on each operation event to obtain an accident type corresponding to the major hazard source and the probability of each accident type;
dynamically acquiring a receptor in a preset range of the major hazard source in the construction site in real time;
determining a hazard element of an accident acting on the bearing body according to the accident type, and determining the strength of the hazard element acting on the bearing body by adopting a bearing body bearing model;
determining a degree of damage to the recipient based on the intensity;
and performing risk grade analysis on the accident type corresponding to the major hazard source, the occurrence probability of each accident type and the damage degree of the acceptance body by adopting a risk grade analysis model to obtain the current risk grade of the major hazard source.
2. The risk classification assessment method according to claim 1, further comprising:
obtaining a historical incident sample, wherein the historical incident sample comprises: historical work event samples and accident type truth values;
and training an initial accident development model through the historical accident sample to obtain the accident development model.
3. The method of claim 1, wherein determining the strength of the hazardous element when acting on the carrier using a carrier bearing model comprises:
acquiring the distance between the accepting object and the major hazard source;
and inputting the distance and the hazard elements into the bearing body bearing model to obtain the strength of the hazard elements acting on the bearing body.
4. The method of claim 1, wherein determining the level of impairment of the receptive material based on the intensity comprises:
acquiring a preset bearing strength relation of each bearing body, wherein the bearing strength relation is a corresponding relation between a bearing strength range and a damage degree;
and determining the damage degree of the bearing body according to the relationship between the strength and the bearing strength of the bearing body.
5. The method for risk rating assessment according to claim 1, further comprising:
acquiring an accident type sample, a probability sample of each accident type, a damage degree sample of a receiver and a risk level true value;
and training an initial risk level analysis model through the accident type sample, the probability sample of each accident type, the damage degree sample of the acceptor and the risk level true value to obtain the risk level analysis model.
6. The risk classification assessment method according to claim 1, wherein after obtaining the current risk classification of the significant hazard, the method further comprises:
and if the current risk level is greater than a preset risk level threshold, performing risk early warning.
7. The risk classification assessment method according to claim 1, wherein the receptive material comprises at least one of: personnel, buildings, equipment, natural environments;
the accident type includes at least one of: explosion, fire, electric shock, lifting injury, high falling and toxic gas;
the hazardous elements include at least one of: shock waves, thermal radiation, toxic gases, electrical radiation, chemical radiation.
8. A risk rating assessment device for a significant hazard, comprising:
the first determination unit is used for determining a major hazard source of a construction site;
the dynamic statistical unit is used for dynamically counting all operation events influencing the risk level of the major hazard source in real time;
the accident development analysis unit is used for carrying out accident development analysis on each operation event by adopting an accident development model to obtain an accident type corresponding to the major hazard source and the probability of each accident type;
the dynamic acquisition unit is used for dynamically acquiring a bearing body in the preset range of the major hazard source in the construction site in real time;
the second determining unit is used for determining the hazard elements of the accident acting on the bearing body according to the accident type and determining the strength of the hazard elements acting on the bearing body by adopting a bearing body bearing model;
a third determination unit for determining the degree of damage of the acceptor based on the intensity;
and the risk grade analysis unit is used for carrying out risk grade analysis on the accident type corresponding to the major hazard source, the occurrence probability of each accident type and the damage degree of the acceptor by adopting a risk grade analysis model to obtain the current risk grade of the major hazard source.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any of claims 1 to 7 when executing the computer program.
10. A computer readable storage medium having stored thereon machine executable instructions which, when invoked and executed by a processor, cause the processor to perform the method of any of claims 1 to 7.
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| CN102609883A (en) * | 2011-12-20 | 2012-07-25 | 吉林省电力有限公司延边供电公司 | Security risk analysis method and system |
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