Accident occurrence probability assessment method, device, equipment, medium and program product

Abstract

The invention relates to an accident occurrence probability assessment method and device, equipment, a medium and a program product. The method comprises the steps of obtaining a hazard source type of a to-be-assessed hazard source and risk scores of the to-be-assessed hazard source in at least three assessment dimensions corresponding to the hazard source type; creating an assessment radar map corresponding to the to-be-assessed hazard source based on the risk score; screening a target radar map matched with the evaluation radar map from each pre-created standard radar map associated with the danger source type, wherein each standard radar map corresponds to each accident occurrence probability level of the danger source type; and determining the accident occurrence probability of the to-be-evaluated hazard source based on the accident occurrence probability level corresponding to the target radar map. According to the method, the assessment radar map of the to-be-assessed hazard source is constructed and the matched target radar map is screened out, so that the accident occurrence probability of the to-be-assessed hazard source is determined, the accident occurrence probability can be effectively quantified, and the accuracy of overall evaluation of potential risks is improved.

Description

Technical Field

[0001] The present disclosure relates to the field of safety management technology, and in particular to an assessment method, device, equipment, medium and program product for the probability of an accident occurring. Background Art

[0002] With the continuous development of my country's economic construction, the importance of engineering construction safety has become increasingly prominent. How to conduct safety evaluation of hazardous sources in potentially dangerous working environments has been a topic that scholars at home and abroad have been studying. The commonly used LEC evaluation method can be applied to multiple workplaces such as construction and fine chemical companies for risk identification and evaluation. The product of the index values ​​of three factors related to system risk is used to evaluate the risk of casualties of operators. These three factors are: L (Likelihood, probability of accident occurrence), E (Exposure, the frequency of personnel exposure to dangerous environments) and C (Criticality, the possible consequences of an accident). However, in practical applications, the determination of the L value mainly depends on the subjective judgment of personnel, and there is a lack of unified quantitative standards, which affects the accuracy of the overall judgment of potential risks. Therefore, how to quantitatively evaluate the probability of an accident is a technical problem that needs to be solved. Summary of the invention

[0003] In order to solve the above technical problems, the present disclosure provides a method, device, equipment, medium and program product for evaluating the probability of an accident.

[0004] A first aspect of an embodiment of the present disclosure provides a method for evaluating the probability of an accident occurring, the method comprising:

[0005] Obtaining the hazard source type of the hazard source to be assessed, and the risk scores of the hazard source to be assessed in at least three assessment dimensions corresponding to the hazard source type;

[0006] Creating an assessment radar chart corresponding to the hazard source to be assessed based on the risk score, wherein the radial axis in the assessment radar chart corresponds to the assessment dimension;

[0007] Selecting a target radar chart that matches the evaluation radar chart from various pre-created standard radar charts associated with the hazard source type, wherein each of the standard radar charts corresponds to each accident probability level of the hazard source type;

[0008] Based on the accident probability level corresponding to the target radar chart, the accident probability of the hazard source to be evaluated is determined.

[0009] A second aspect of an embodiment of the present disclosure provides a device for evaluating the probability of an accident, the device comprising:

[0010] An acquisition module, used to acquire the hazard source type of the hazard source to be evaluated, and the risk score of the hazard source to be evaluated in at least three evaluation dimensions corresponding to the hazard source type;

[0011] A creation module, used to create an assessment radar chart corresponding to the hazard source to be assessed based on the risk score, wherein the radiation axis in the assessment radar chart corresponds to the assessment dimension;

[0012] A screening module, used to screen a target radar chart matching the evaluation radar chart from various pre-created standard radar charts associated with the hazard source type, wherein each of the standard radar charts corresponds to each accident probability level of the hazard source type;

[0013] The evaluation module is used to determine the accident probability of the hazard source to be evaluated based on the accident probability level corresponding to the target radar chart.

[0014] A third aspect of an embodiment of the present disclosure provides a computer device, comprising a memory and a processor, and a computer program, wherein the computer program is stored in the memory, and when the computer program is executed by the processor, the method for assessing the probability of an accident occurring as described in the first aspect above is implemented.

[0015] A fourth aspect of an embodiment of the present disclosure provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, the method for assessing the probability of an accident occurring as described in the first aspect above is implemented.

[0016] A fifth aspect of an embodiment of the present disclosure provides a computer program product, including a computer program, which, when executed by a processor, implements the method for assessing the probability of an accident occurring as described in the first aspect above.

[0017] Compared with the prior art, the technical solution provided by the embodiments of the present disclosure has the following advantages:

[0018] In the accident probability assessment method, device, equipment, medium and program product provided in the embodiments of the present disclosure, by obtaining the hazard source type of the hazard source to be assessed and the risk score of the hazard source to be assessed in at least three assessment dimensions corresponding to the hazard source type, an assessment radar chart corresponding to the hazard source to be assessed is created based on the risk score, and the radiation axis in the assessment radar chart corresponds to the assessment dimension. A target radar chart matching the assessment radar chart is screened from various standard radar charts associated with the hazard source type created in advance, and each standard radar chart corresponds to each accident probability level of the hazard source type. Based on the accident probability level corresponding to the target radar chart, the accident probability of the hazard source to be assessed is determined, and an assessment radar chart of the hazard source to be assessed can be constructed and a matching target radar chart can be screened, thereby determining the accident probability of the hazard source to be assessed, and then effectively quantifying the accident probability, thereby improving the accuracy of the overall assessment of potential risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0021] Figure 1 is a flow chart of a method for evaluating the probability of an accident occurring provided by an embodiment of the present disclosure;

[0022] Figure 2 is a flow chart of a method for screening target radar charts provided by an embodiment of the present disclosure;

[0023] Figure 3 is a schematic diagram of a standard radar chart provided by an embodiment of the present disclosure;

[0024] Figure 4 It is a structural schematic diagram of an accident probability assessment device provided by an embodiment of the present disclosure;

[0025] Figure 5 It is a structural diagram of a computer device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0026] In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features in the embodiments can be combined with each other without conflict.

[0027] In the following description, many specific details are set forth to facilitate a full understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; it is obvious that the embodiments in the specification are only part of the embodiments of the present disclosure, rather than all of the embodiments.

[0028] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0029] Figure 1 This is a flow chart of an accident probability assessment method provided by an embodiment of the present disclosure. The method can be executed by an accident probability assessment device. The accident probability assessment device can be implemented in software and / or hardware. The accident probability assessment device can be configured in an electronic device, such as a server or a terminal, wherein the terminal specifically includes a mobile phone, a computer or a tablet computer, etc. Figure 1 As shown, the method for evaluating the probability of an accident occurring provided in this embodiment includes the following steps:

[0030] S101. Obtain the hazard source type of the hazard source to be assessed, and the risk scores of the hazard source to be assessed in at least three assessment dimensions corresponding to the hazard source type.

[0031] The hazard source types in the disclosed embodiments may be pre-set according to relevant standard documents or specification documents. Optionally, the hazard source types may be set with reference to the "Municipal Engineering Construction Safety Inspection Standards", "Construction Safety Inspection Standards", or may be set with reference to other documents, which are not limited here.

[0032] In the disclosed embodiment, the accident probability of the hazardous source needs to be comprehensively evaluated from multiple evaluation dimensions. Each evaluation dimension can correspond to the type of accident, or can correspond to the construction link, etc., which is not limited here. The risk score can be understood as the score of the hazardous source to be evaluated in each evaluation dimension. For example, the higher the risk score, the greater the probability of the accident that is ultimately determined.

[0033] Optionally, the hazard source types include foundation pit types, and the assessment dimensions include groundwater control, foundation pit support, foundation pit excavation, and foundation pit monitoring.

[0034] In the embodiment of the present disclosure, the accident probability assessment device can obtain the hazard source type of the hazard source to be assessed and the risk score of the hazard source to be assessed in at least three assessment dimensions corresponding to the hazard source type when it is necessary to assess the accident probability of the hazard source to be assessed, wherein the hazard source type and risk score can be input by the user or parsed and extracted from relevant files uploaded by the user, which is not limited here.

[0035] In an exemplary implementation of the embodiments of the present disclosure, an accident probability assessment device can obtain the control measures adopted by the hazardous source to be assessed in at least three assessment dimensions, search for individual scores corresponding to the control measures in a hazardous source risk management evaluation table corresponding to the hazardous source type acquired in advance, and determine the risk score of the assessment dimension based on the individual scores corresponding to the control measures adopted in each assessment dimension.

[0036] Among them, the hazardous source risk control evaluation table may include individual scores corresponding to each control measure adopted in each evaluation dimension. For example, when multiple control measures are included in the evaluation dimension, the accident probability assessment device can target each control measure. If the control measure has been adopted, the corresponding individual score will be included in the risk score corresponding to the corresponding evaluation dimension; if the control measure has not been adopted, the individual score corresponding to the control measure is determined to be zero, and then the risk score of the evaluation dimension is determined based on the individual scores corresponding to the control measures adopted in each evaluation dimension. Specifically, the risk score can be obtained by summing the individual scores corresponding to the adopted control measures, or by calculating the weighted average of the individual scores corresponding to the control measures under the evaluation dimension. There is no limitation here.

[0037] Optionally, the hazard source type may include the foundation pit type, and the assessment dimensions may include groundwater control, foundation pit support, foundation pit excavation, and foundation pit monitoring. Among them, the control measures corresponding to the groundwater control assessment dimension may include: 1) When there is groundwater within the foundation pit excavation depth, effective drainage measures should be taken, and measures should be taken to prevent the settlement and tilt of adjacent buildings (structures); 2) The ground around the edge of the foundation pit should be equipped with intercepting and drainage ditches and measures to prevent surface water from scouring the side walls of the foundation pit in accordance with the requirements of the special construction plan. When excavating with a slope, drainage measures should be taken on the top, surface, and foot of the slope; 3) Drainage ditches and water collection wells should be set up around the bottom of the foundation pit in accordance with the requirements of the special construction plan, and the accumulated water should be removed in time; 4) The foundation pit retaining structure shall not leak water or sand. , there shall be no water accumulation, water gushing or sand gushing at the bottom of the foundation pit; the control measures corresponding to the foundation pit support assessment dimension may include: 1) The slope rate of the natural slope with good geological conditions, uniform soil and no groundwater shall comply with the design and relevant national standards; 2) When the excavation depth is large and there is a risk of slope collapse, support should be carried out according to the design requirements; 3) For deep foundation pit projects exceeding a certain scale, the special construction plan should be organized for expert demonstration; 4) For foundation pit projects with internal support, the connection between the steel support and the surrounding structure, and the application of prestressing should comply with the design and special construction plan requirements. When the steel support is hoisted into place, no one is allowed to enter the crane and under the steel support, and effective anti-falling measures should be taken; 5) When spraying concrete support, the nozzle must not face 6) Before the construction of anchor rods or anchor cables, on-site tensile test should be carried out, and acceptance should be carried out after the construction is completed; the control measures corresponding to the foundation pit excavation assessment dimension may include: 1) The anchor rods or anchor cables, soil nails, and supports above the foundation pit support surface must meet the design requirements before the lower soil can be excavated. Early excavation and over-excavation are strictly prohibited. 2) The foundation pit excavation should be carried out in layers, sections, time-limited, balanced, and symmetrically according to the design and special construction plan requirements. 3) The foundation pit excavation should have effective measures to prevent collision with support structures, engineering piles, or disturbance of the original soil layer of the base. 4) When excavation machinery and transport vehicles enter the foundation pit for operation, the slope of the ramp should not be greater than 1:7, the ramp width should meet the driving requirements, and anti-slip measures should be taken. 5) Machinery operators should Obtain an operation qualification certificate, 6) When the machine is operating on a soft soil site, hardening measures such as laying slag or sand and gravel should be taken, 7) For excavation of foundation pits with internal supports, the excavation machinery shall not stay above the horizontal support for excavation operations, 8) The excavation sequence and construction methods of the foundation pit should be adjusted in time according to the monitoring data of the foundation pit and the surrounding environment, 9) The loads such as soil and materials piled on the side of the foundation pit shall not exceed the allowable range of the foundation pit support design, 10) The safe distance between the construction of mechanical equipment and the side of the pit shall comply with the requirements of the current relevant national standards, 11) Effective protective measures should be taken for vertical operations, and safety protection measures should be taken when excavating within 2m of power, communication, and gas pipelines and within 1m of water supply and drainage pipelines, and special personnel should be assigned to supervise;The corresponding control measures for the foundation pit monitoring and evaluation dimension can include: 1) A monitoring plan should be prepared before the construction of the foundation pit project to clarify the monitoring items, monitoring alarm values, monitoring methods, the layout of monitoring points, monitoring cycles, etc., and construction monitoring should be carried out according to the monitoring plan; 2) The monitoring time interval should be determined according to the monitoring plan and the construction progress. When the rate of change of the monitoring results is large, the observation frequency should be increased; 3) When the monitoring value reaches the specified alarm value, the construction should be stopped, the cause should be found out, and remedial measures should be taken. ;

[0038] S102. Create an assessment radar chart corresponding to the hazard source to be assessed based on the risk score, where the radiation axis in the assessment radar chart corresponds to the assessment dimension.

[0039] In the embodiment of the present disclosure, the accident probability assessment device can create an assessment radar chart based on the assessment dimensions after obtaining the hazard source type of the hazard source to be assessed and the risk score of the hazard source to be assessed in at least three assessment dimensions. Each radiation axis in the assessment radar chart corresponds to an assessment dimension respectively, and according to the risk score of the hazard source to be assessed in each assessment dimension, the value of each radiation axis in the assessment radar chart is determined, and then a complete assessment radar chart is drawn.

[0040] S103: Filter a target radar chart that matches the evaluation radar chart from various standard radar charts associated with the pre-created hazard source types, wherein each standard radar chart corresponds to each accident probability level of the hazard source type.

[0041] The accident probability levels in the embodiments of the present disclosure may be understood as multiple pre-set ratings of accident probability. For example, the accident probability levels may include L (Likelihood, accident probability) = 10, L = 6, L = 3, and L = 1.

[0042] In the embodiment of the present disclosure, the accident probability assessment device can, after the evaluation radar chart is created, obtain the various standard radar charts corresponding to the various accident probability levels of the hazard source types that are pre-created, and match the evaluation radar chart with the various standard radar charts, and determine the standard radar chart with the highest matching degree as the target radar chart that matches the evaluation radar chart.

[0043] In an exemplary implementation of the disclosed embodiment, the accident probability assessment device can calculate, for each standard radar chart, the similarity between the values ​​in each assessment dimension and the values ​​of the assessment radar chart in the corresponding assessment dimension, and then determine the comprehensive matching degree between the standard radar chart and the assessment radar chart, thereby determining the standard radar chart with the highest comprehensive matching degree as the target radar chart that matches the assessment radar chart.

[0044] S104: Determine the accident probability of the hazard source to be evaluated based on the accident probability level corresponding to the target radar chart.

[0045] In the disclosed embodiment, the accident probability assessment device can, after determining the target radar chart, determine the accident probability of the hazardous source to be assessed according to the accident probability level corresponding to the target radar chart. Specifically, based on the accident probability level corresponding to the target radar chart, the accident probability corresponding to the accident probability level can be determined as the accident probability of the hazardous source to be assessed. When the accident probability level is used to describe the accident probability of the hazardous source to be assessed, the accident probability level corresponding to the target radar chart can also be determined as the accident probability level of the hazardous source to be assessed.

[0046] The disclosed embodiment obtains the hazard source type of the hazard source to be evaluated and the risk score of the hazard source to be evaluated in at least three evaluation dimensions corresponding to the hazard source type, creates an evaluation radar chart corresponding to the hazard source to be evaluated based on the risk score, the radiation axis in the evaluation radar chart corresponds to the evaluation dimension, and screens a target radar chart matching the evaluation radar chart from various standard radar charts associated with the hazard source type created in advance, each standard radar chart corresponds to each accident probability level of the hazard source type, and determines the accident probability of the hazard source to be evaluated based on the accident probability level corresponding to the target radar chart. The evaluation radar chart of the hazard source to be evaluated can be constructed and a matching target radar chart can be screened out, thereby determining the accident probability of the hazard source to be evaluated, and then effectively quantifying the accident probability, thereby improving the accuracy of the overall assessment of potential risks.

[0047] Figure 2 is a flow chart of a method for screening target radar charts provided by an embodiment of the present disclosure, such as Figure 2 As shown, based on the above embodiment, the target radar chart can be screened by the following method.

[0048] S201: Determine a first area of ​​an evaluation radar chart.

[0049] In the disclosed embodiment, the accident probability assessment device can calculate the first area of ​​the assessment radar chart according to the values ​​of each assessment dimension in the assessment radar chart. Specifically, the assessment radar chart can be split into multiple triangles according to the radiation axis, and the area of ​​each triangle can be calculated according to the value of each assessment dimension. The areas of the triangles are then summed to obtain the first area of ​​the assessment radar chart.

[0050] S202: Determine a ratio of the first area to the second area of ​​each standard radar chart as a similarity between the evaluation radar chart and each standard radar chart.

[0051] In the disclosed embodiment, the accident probability assessment device can calculate the ratio of the first area to the second area of ​​each standard radar map after calculating the first area of ​​the assessment radar map, and determine the ratio as the similarity between the assessment radar map and each standard radar map. The calculation method of the second area of ​​the standard radar map is the same as the calculation method of the first area of ​​the assessment radar map, which will not be described in detail here.

[0052] S203: Determine the standard radar chart with the highest similarity among the standard radar charts as the target radar chart.

[0053] In the disclosed embodiment, the accident probability assessment device may determine the corresponding standard radar map with the highest similarity as the target radar map after determining the similarity between the assessment radar map and each standard radar map.

[0054] Optionally, when the ratio of the first area to the target radar chart is greater than or equal to a preset threshold (such as 0.9), the accident probability level corresponding to the target radar chart can be determined as the accident probability level of the hazard source to be assessed.

[0055] The disclosed embodiment determines a first area of ​​an evaluation radar chart, determines a ratio of the first area to a second area of ​​each standard radar chart as the similarity between the evaluation radar chart and each standard radar chart, and determines a standard radar chart with the highest corresponding similarity among each standard radar chart as a target radar chart. The similarity between radar charts can be accurately determined by the ratio of the radar chart areas, and a target radar chart matching the evaluation radar chart can be quickly found. At the same time, the overall impact of each evaluation dimension on the probability of an accident is comprehensively considered, so as to further improve the accuracy of the assessment of the probability of an accident, thereby improving the accuracy of the overall judgment of potential risks.

[0056] In some embodiments, the values ​​of each evaluation dimension in the standard radar chart include at least two dimension values, and the at least two dimension values ​​respectively correspond to a first occurrence probability. The second area of ​​the standard radar chart includes at least two radar chart areas determined based on the at least two dimension values ​​of each evaluation dimension in the standard radar chart, and the at least two radar chart areas respectively correspond to a second occurrence probability. The second occurrence probability is determined based on the first occurrence probabilities corresponding to the at least two dimension values ​​of each evaluation dimension in the standard radar chart.

[0057] Among them, the values ​​of each evaluation dimension in the standard radar chart include at least two dimensional values, and at least two dimensional values ​​correspond to a first occurrence probability respectively. It can be understood that in each standard radar chart, the value of each evaluation dimension (corresponding to the risk score) is uncertain, and the possible values ​​of this evaluation dimension may include multiple different dimensional values, but the occurrence probabilities of different dimensional values ​​are different. For example, in the standard radar chart corresponding to L=10, the dimensional values ​​of each evaluation dimension are the same, which may include 10, 8, 6, 4, and 2. The groundwater control assessment In the dimension, the first occurrence probability corresponding to the values ​​of each dimension can be 0.9, 0.3, 0.2, 0.1, and 0 respectively; in the foundation pit support assessment dimension, the first occurrence probability corresponding to the values ​​of each dimension can be 0.2, 0.2, 0.7, 0.2, and 0 respectively; in the foundation pit monitoring and assessment dimension, the first occurrence probability corresponding to the values ​​of each dimension can be 0.2, 0.1, 0.8, 0.3, and 0 respectively; in the foundation pit excavation assessment dimension, the first occurrence probability corresponding to the values ​​of each dimension can be 0.2, 0.6, 0.5, 0.2, and 0 respectively.

[0058] Furthermore, the second area of ​​the standard radar chart constructed according to different dimension values ​​and the first occurrence probability also has uncertainty, and the second area may include multiple radar chart areas, and the occurrence probabilities of different radar chart areas are also different. When calculating the second area of ​​the standard radar chart, you can first select the triangle whose area needs to be calculated in the standard radar chart, and use the modulus expansion theory to calculate the area of ​​the triangle, which also has uncertainty, and then use combined superposition to calculate the sum of the areas of each triangle to obtain the second area of ​​the standard radar chart.

[0059] Figure 3 is a schematic diagram of a standard radar chart provided by an embodiment of the present disclosure, such as Figure 3 As shown, the standard radar chart corresponding to L=10 includes four evaluation dimensions: groundwater control, foundation pit support, foundation pit excavation, and foundation pit monitoring. The dimension values ​​of each evaluation dimension are the same, including 10, 8, 6, 4, and 2. In the groundwater control evaluation dimension, the first occurrence probabilities corresponding to the values ​​of each dimension are 0.9, 0.3, 0.2, 0.1, and 0, respectively. In the foundation pit excavation evaluation dimension, the occurrence probabilities corresponding to the values ​​of each dimension can be 0.2, 0.6, 0.5, 0.2, and 0, respectively. In the foundation pit support evaluation dimension, the first occurrence probabilities corresponding to the values ​​of each dimension can be 0.2, 0.2, 0.7, 0.2, and 0, respectively. In the foundation pit monitoring evaluation dimension, the first occurrence probabilities corresponding to the values ​​of each dimension can be 0.2, 0.1, 0.8, 0.3, and 0, respectively. The area S1 of the triangle corresponding to the groundwater control evaluation dimension and the foundation pit excavation evaluation dimension can be expressed as follows:

[0060]

[0061] Among them, A1 and A2 represent the dimension values ​​of groundwater control assessment dimension and foundation pit excavation assessment dimension. The first probability of occurrence of the dimension value of the groundwater control assessment dimension is 10, which is 0.9. The first probability of occurrence of the dimension value of groundwater control assessment dimension 8 is 0.3, The first probability of occurrence of the dimension value of foundation pit excavation assessment dimension is 10 is 0.2, The first probability of occurrence when the dimension value of the foundation pit excavation assessment dimension is 8 is 0.6, and so on; Indicates that S1 takes 50 The probability is 0.2, take The probability is 0.6, take The probability of taking 4 and 2 is 0.

[0062] Optionally, the dimension values ​​and the first area of ​​the evaluation radar chart may be fixed values, or they may be similar to the standard radar chart and have uncertainty. The possible values ​​of each evaluation dimension may include multiple different dimension values, and the probability of occurrence of different dimensional values ​​is different. The calculation method of the first area of ​​the evaluation radar chart may also be similar to that of the standard radar chart. The calculation result includes multiple areas, and each area corresponds to a different probability of occurrence, which will not be elaborated here.

[0063] Figure 4 Schematic diagram of a device for evaluating the probability of an accident occurring provided by an embodiment of the present disclosure. Figure 4 As shown, the accident probability assessment device 400 includes: an acquisition module 410, a creation module 420, a screening module 430, and an assessment module 440, wherein the acquisition module 410 is used to obtain the hazard source type of the hazard source to be assessed, and the risk score of the hazard source to be assessed in at least three assessment dimensions corresponding to the hazard source type; the creation module 420 is used to create an assessment radar chart corresponding to the hazard source to be assessed based on the risk score, and the radiation axis in the assessment radar chart corresponds to the assessment dimension; the screening module 430 is used to screen a target radar chart that matches the assessment radar chart from various standard radar charts associated with the hazard source type that are created in advance, and the various standard radar charts correspond to various accident probability levels of the hazard source type; the assessment module 440 is used to determine the accident probability of the hazard source to be assessed based on the accident probability level corresponding to the target radar chart.

[0064] Optionally, the screening module 430 includes: a first determination unit, used to determine a first area of ​​the evaluation radar chart; a second determination unit, used to determine the ratio of the first area to the second area of ​​each standard radar chart as the similarity between the evaluation radar chart and each standard radar chart; and a third determination unit, used to determine the standard radar chart with the highest corresponding similarity among the standard radar charts as the target radar chart.

[0065] Optionally, the values ​​of each evaluation dimension in the standard radar chart include at least two dimension values, and the at least two dimension values ​​respectively correspond to a first occurrence probability.

[0066] Optionally, the second area of ​​the standard radar chart includes at least two radar chart areas determined based on at least two dimensional values ​​of each evaluation dimension in the standard radar chart, and the at least two radar chart areas respectively correspond to a second occurrence probability, and the second occurrence probability is determined based on the first occurrence probability corresponding to the at least two dimensional values ​​of each evaluation dimension in the standard radar chart.

[0067] Optionally, the acquisition module 410 includes: an acquisition unit, used to obtain the control measures adopted by the hazard source to be evaluated in the at least three evaluation dimensions; a search unit, used to search for individual scores corresponding to the control measures in the hazard source risk control evaluation table corresponding to the hazard source type acquired in advance, and determine the risk score of the evaluation dimension based on the individual scores corresponding to the control measures adopted in each evaluation dimension.

[0068] Optionally, the hazard source type includes foundation pit type, and the assessment dimensions include groundwater control, foundation pit support, foundation pit excavation, and foundation pit monitoring.

[0069] The accident probability assessment device provided in this embodiment can execute the method described in any of the above embodiments, and its execution method and beneficial effects are similar and will not be described in detail here.

[0070] Figure 5 It is a structural diagram of a computer device provided in an embodiment of the present disclosure.

[0071] like Figure 5 As shown, the computer device may include a processor 510 and a memory 520 storing computer program instructions.

[0072] Specifically, the processor 510 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0073] The memory 520 may include a large capacity memory for information or instructions. By way of example and not limitation, the memory 520 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a tape, or a universal serial bus (USB) drive, or a combination of two or more of these. Where appropriate, the memory 520 may include a removable or non-removable (or fixed) medium. Where appropriate, the memory 520 may be inside or outside the integrated gateway device. In a particular embodiment, the memory 520 is a non-volatile solid-state memory. In a particular embodiment, the memory 520 includes a read-only memory (ROM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (Electrically Erasable Programmable ROM, EEPROM), an electrically rewritable ROM (EAROM), or a flash memory, or a combination of two or more of these.

[0074] The processor 510 reads and executes the computer program instructions stored in the memory 520 to perform the steps of the method for assessing the probability of an accident occurrence provided in the embodiment of the present disclosure.

[0075] In one example, the computer device may further include a transceiver 530 and a bus 540. Figure 5 As shown, the processor 510, the memory 520 and the transceiver 530 are connected via a bus 540 and communicate with each other.

[0076] The bus 540 includes hardware, software, or both. For example, but not limitation, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industrial Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a Memory bus, a MicroChannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses or a combination of two or more of these. Where appropriate, the bus 540 may include one or more buses. Although embodiments of the present application describe and illustrate a particular bus, the present application contemplates any suitable bus or interconnect.

[0077] The embodiments of the present disclosure also provide a computer-readable storage medium, which may store a computer program. When the computer program is executed by a processor, the processor implements the method for assessing the probability of an accident occurring provided by the embodiments of the present disclosure.

[0078] The above-mentioned storage medium may, for example, include a memory 520 of computer program instructions, and the above-mentioned instructions may be executed by the processor 510 of the accident probability assessment device to complete the accident probability assessment method provided by the embodiment of the present disclosure. Optionally, the storage medium may be a non-temporary computer-readable storage medium, for example, the non-temporary computer-readable storage medium may be a ROM, a random access memory (Random Access Memory, RAM), a compact disc read-only memory (Compact Disc ROM, CD-ROM), a magnetic tape, a floppy disk, and an optical data storage device, etc. The above-mentioned computer program may be written in any combination of one or more programming languages ​​to perform the program code of the operation of the embodiment of the present disclosure, and the programming language includes an object-oriented programming language, such as Java, C++, etc., and also includes a conventional procedural programming language, such as "C" language or similar programming language. The program code may be executed entirely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device, partially on the remote computing device, or completely on the remote computing device or server.

[0079] The embodiments of the present disclosure also provide a computer program product, including a computer program. When the computer program is executed by a processor, the processor implements the method for evaluating the probability of an accident occurrence provided by the embodiments of the present disclosure.

[0080] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0081] The above description is only a specific embodiment of the present disclosure, so that those skilled in the art can understand or implement the present disclosure. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to the embodiments described herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for assessing the probability of an accident, characterized in that: include: Obtaining the hazard source type of the hazard source to be assessed, and the risk scores of the hazard source to be assessed in at least three assessment dimensions corresponding to the hazard source type; Creating an assessment radar chart corresponding to the hazard source to be assessed based on the risk score, wherein the radial axis in the assessment radar chart corresponds to the assessment dimension; Selecting a target radar chart that matches the evaluation radar chart from various pre-created standard radar charts associated with the hazard source type, wherein each of the standard radar charts corresponds to each accident probability level of the hazard source type; Based on the accident probability level corresponding to the target radar chart, the accident probability of the hazard source to be evaluated is determined.

2. The method according to claim 1, characterized in that The step of selecting a target radar chart that matches the evaluation radar chart from each of the pre-created standard radar charts associated with the hazard source type includes: determining a first area of ​​the evaluation radar chart; Determine the ratio of the first area to the second area of ​​each standard radar chart as the similarity between the evaluation radar chart and each standard radar chart; The standard radar chart with the highest similarity among the standard radar charts is determined as the target radar chart.

3. The method according to claim 1, characterized in that The values ​​of each evaluation dimension in the standard radar chart include at least two dimension values, and the at least two dimension values ​​respectively correspond to a first occurrence probability.

4. The method according to claim 3, characterized in that The second area of ​​the standard radar chart includes at least two radar chart areas determined based on at least two dimensional values ​​of each evaluation dimension in the standard radar chart, and the at least two radar chart areas respectively correspond to a second occurrence probability, and the second occurrence probability is determined based on the first occurrence probability corresponding to the at least two dimensional values ​​of each evaluation dimension in the standard radar chart.

5. The method according to claim 1, characterized in that Obtaining the risk scores of the hazard source to be assessed in at least three assessment dimensions corresponding to the hazard source type, including: Obtaining the control measures adopted by the hazard source to be assessed in the at least three assessment dimensions; In the hazard source risk control evaluation table corresponding to the hazard source type obtained in advance, the individual scores corresponding to the control measures are found, and the risk scores of the assessment dimensions are determined based on the individual scores corresponding to the control measures adopted in each assessment dimension.

6. The method according to claim 1, characterized in that The types of hazard sources include foundation pit types, and the assessment dimensions include groundwater control, foundation pit support, foundation pit excavation, and foundation pit monitoring.

7. An assessment device for the probability of an accident, characterized in that: include: An acquisition module, used to acquire the hazard source type of the hazard source to be evaluated, and the risk score of the hazard source to be evaluated in at least three evaluation dimensions corresponding to the hazard source type; A creation module, used to create an assessment radar chart corresponding to the hazard source to be assessed based on the risk score, wherein the radiation axis in the assessment radar chart corresponds to the assessment dimension; A screening module, used to screen a target radar chart matching the evaluation radar chart from various pre-created standard radar charts associated with the hazard source type, wherein each of the standard radar charts corresponds to each accident probability level of the hazard source type; The evaluation module is used to determine the accident probability of the hazard source to be evaluated based on the accident probability level corresponding to the target radar chart.

8. A computer device, characterized in that: include: Memory; processor; and a computer program; wherein the computer program is stored in the memory and is configured to be executed by the processor to implement the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the method for assessing the probability of an accident occurring as described in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for evaluating the probability of an accident occurring as claimed in any one of claims 1 to 6 is implemented.

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