A water traffic safety risk grading management and control system and method

Abstract

The application relates to the technical field of water traffic safety supervision, and particularly discloses a water traffic safety risk grading control system and method, which comprises a data acquisition and processing module, a risk judgment module and a risk grading control module; the data acquisition and processing module is used for acquiring risk data and performing pretreatment; the risk judgment module is used for performing risk grade judgment on the pretreated risk data to obtain a risk grade judgment result; the risk grading control module is used for constructing a risk grading control measure library, performing automatic matching of control measures in the risk grading control measure library based on the risk grade judgment result to obtain risk control measures, and transmitting the risk grade judgment result and the risk control measures to different institutional users. The system provides relatively objective and accurate risk grade judgment rules, supports risk information grading control, and supports the collaborative linkage of risk information among different users.

Description

Technical Field

[0001] This invention relates to the field of water traffic safety supervision technology, specifically to a water traffic safety risk classification and control system and method. Background Technology

[0002] Maritime traffic safety risk refers to the combination of the probability and consequences of maritime traffic accidents that may occur during the navigation, anchoring, or operation of vessels or facilities. It is a subjective assessment of the likelihood of maritime traffic accidents and the severity of their consequences. Maritime traffic safety risk levels are classified into four levels, from highest to lowest, according to the probability and severity of the potential for accidents: major risk, significant risk, general risk, and minor risk.

[0003] In recent years, the transportation industry has continuously strengthened its efforts in preventing and mitigating safety risks and investigating and addressing hidden dangers, achieving phased results. However, accidents (incidents) in the water transportation sector still occur from time to time, revealing that transportation safety risks have not yet been effectively controlled. At the national level, the current management of water transportation safety risks still suffers from the following shortcomings:

[0004] (1) There is a lack of unified methods and rules for determining risk levels, resulting in low scientific rigor and accuracy of risk level determinations. Different managers or organizations determine risk levels based on their own understanding and experience, leading to the same risk source being classified as having different risk levels under different circumstances. It is difficult to make horizontal and vertical comparisons and assessments of risk level determinations in different regions and at different times, making it impossible to form an effective risk management mechanism. Inconsistent risk level determinations may make it difficult for decision-makers to make scientific and reasonable decisions, thereby affecting the overall effectiveness of water traffic safety management.

[0005] (2) There is a lack of unified risk data management standards and a lack of unified, visualized, and intelligent risk assessment and management software, resulting in a low level of informatization and intelligence. The risk assessment process relies on human experience and judgment, making it difficult to guarantee accuracy and consistency. Existing software lacks visualization functions, making it difficult to present risk data intuitively, which is not conducive to decision-makers making quick decisions. They are also unclear about the current safety situation and the extent of existing risks. The allocation of risk supervision resources lacks objective basis, becoming a bottleneck in the transformation of the water traffic safety governance model towards pre-emptive prevention. Summary of the Invention

[0006] To address the aforementioned problems, one objective of this invention is to provide a water traffic safety risk classification and control system. This system supports dynamic updates and visualization of risk information, provides relatively objective and accurate risk level determination rules, supports risk information classification and control, and supports collaborative linkage of risk information among different users.

[0007] The second objective of this invention is to provide a method for classifying and controlling water traffic safety risks.

[0008] The first technical solution adopted in this invention is: a water traffic safety risk classification and control system, including a data acquisition and processing module, a risk assessment module, and a risk classification and control module;

[0009] The data acquisition and processing module is used to collect risk data and preprocess the risk data;

[0010] The risk assessment module is used to determine whether the preprocessed risk data meets specific conditions. If it does, the module directly matches the risk scenario based on the preprocessed risk data to obtain a risk level assessment result. If it does not meet the conditions, the module performs risk identification on the preprocessed risk data to obtain potential risk events and risk-causing factors. It then performs risk assessment on the potential risk events to obtain their risk levels. Based on the risk type, risk level, and risk-causing factors of the potential risk events, the module determines the risk control measure level for each potential risk event to obtain a risk level assessment result. The risk level assessment result includes both the risk level and the risk control measure level.

[0011] The risk assessment of the potential risk events includes: calculating static and dynamic risk values ​​based on the causative factors and severity of the potential risk events, and determining the risk level of the potential risk events based on the magnitudes of the static and dynamic risk values; wherein the dynamic risk value is obtained by using a fuzzy comprehensive evaluation method and following preset principles to determine the risk level; the static risk value is calculated using the following formula:

[0012] R = L × S

[0013] In the formula, R is the static risk value; L is the risk probability value; and S is the risk severity value.

[0014]

[0015] In the formula, L is the risk probability value; m represents the number of indicators in the first layer; and n represents F. x1 The number of corresponding second-level indicators; Q x1 F x1 F represents the weight and score of the x-th indicator in the first layer, respectively; y1 F y2 F yn These represent the scores of the first to nth indicators in the second layer, respectively.

[0016] The risk classification and control module is used to construct a risk classification and control measure library, and automatically match control measures in the risk classification and control measure library based on the risk level determination result to obtain risk control measures; it is also used to provide the upload and download functions of the risk level determination result and risk control measures to realize the collaborative linkage of information among different users.

[0017] Preferably, the data acquisition and processing module includes a data acquisition unit, a data processing unit, and a data storage unit;

[0018] The data acquisition unit is used to collect risk data;

[0019] The data processing unit is used to preprocess the risk data, including accuracy, repeatability, completeness and timeliness processing;

[0020] The data storage unit is used to construct a water traffic safety risk database, and stores the preprocessed risk data into the water traffic safety risk database according to different data types.

[0021] Preferably, the risk data includes basic risk information, risk control measures information, risk emergency response information, and the scope of the risk's impact.

[0022] Preferably, the risk identification includes: dividing the preprocessed risk data into corresponding risk identification units; using a flowchart method in each risk identification unit to investigate and analyze each stage and link of the ship's entry and exit process; identifying and determining potential risk events according to risk identification parameters; and finding risk-causing factors based on risk-causing factor indicators and weights, thereby obtaining potential risk events and risk-causing factors.

[0023] Preferably, the risk determination module includes a risk identification parameter configuration unit, a risk-causing factor indicator and weight configuration unit, a risk severity matching unit, and a risk level determination calculation unit;

[0024] The risk identification parameter configuration unit is used to configure risk identification parameters based on preprocessed risk data, and to identify potential risk events based on the risk identification parameters.

[0025] The risk-causing factor index and weight configuration unit is used to configure risk-causing factor indicators and weights for the potential risk event, and to obtain the risk-causing factors of the potential risk event based on the risk-causing factor indicators and weights.

[0026] The risk severity matching unit is used to match the severity level of potential risk events based on the severity of historical events, and obtain the risk severity value of the potential risk events;

[0027] The risk level determination calculation unit is used to calculate static and dynamic risk values ​​based on the causative factors and severity values ​​of potential risk events, and to determine the risk level of potential risk events based on the magnitude of the risk values.

[0028] Preferably, the risk identification parameters include one or more of the following: vessel type, vessel activity waters, vessel activity / operation type, functional waters where the risk event occurs, risk event type, basic information about the risk event, and the probability level and value of the risk occurrence.

[0029] Preferably, the risk-causing factor indicators and weights include one or more of the following: human factors, ship factors, material factors, environmental factors, and management factors.

[0030] Preferably, the risk classification and control module includes a risk measure management unit, a risk measure query unit, a risk measure dynamic matching unit, and a risk measure information synchronization unit;

[0031] The risk measures management unit is used to build a risk classification and control measures library;

[0032] The risk measures query unit is used to query and obtain detailed information on risk control measures;

[0033] The risk measure dynamic matching unit is used to automatically match control measures in the risk classification and control measure library based on the risk level determination result, so as to obtain risk control measures.

[0034] The risk measure information synchronization unit is used to transmit the risk level determination results and risk control measures to different institutional users, so as to realize the collaborative linkage of information among different institutional users.

[0035] Preferably, it also includes a risk information display module and a statistical analysis module;

[0036] The risk information display module is used to display the location information of risk events, risk level, list of risk events, risk control measures, regulatory resources and historical risk information;

[0037] The statistical analysis module is used to perform risk characteristic analysis and trend change analysis, and presents the results in a graphical format.

[0038] The second technical solution adopted in this invention is: a method for graded control of water traffic safety risks, comprising the following steps:

[0039] S100: Collect risk data and preprocess the risk data;

[0040] S200: Determine whether the preprocessed risk data meets specific conditions. If it does, directly match the risk scenario to obtain a risk level determination result. If it does not meet the conditions, perform risk identification on the preprocessed risk data to obtain potential risk events and risk-causing factors. Perform risk assessment on the potential risk events to obtain their risk levels. Determine the risk control measure level for the potential risk event based on its risk type, risk level, and risk-causing factors to obtain a risk level determination result. The risk level determination result includes the risk level and the risk control measure level. The risk assessment of the potential risk event includes: calculating static and dynamic risk values ​​based on the risk-causing factors and risk severity values ​​of the potential risk event, and determining the risk level of the potential risk event based on the magnitude of the static and dynamic risk values. The dynamic risk value is obtained by using a fuzzy comprehensive evaluation method and following preset principles to determine the risk level. The static risk value is calculated using the following formula:

[0041] R = L × S

[0042] In the formula, R is the static risk value; L is the risk probability value; and S is the risk severity value.

[0043]

[0044] In the formula, L is the risk probability value; m represents the number of indicators in the first layer; and n represents F. x1 The number of corresponding second-level indicators; Q x1 F x1 F represents the weight and score of the x-th indicator in the first layer, respectively; y1 F y2 F yn These represent the scores of the first to nth indicators in the second layer, respectively.

[0045] S300: Construct a risk classification and control measure library, automatically match control measures in the risk classification and control measure library based on the risk level determination results to obtain risk control measures; and upload and distribute the risk level determination results and risk control measures to different institutional users.

[0046] The beneficial effects of the above technical solution are as follows:

[0047] (1) The water traffic safety risk classification and control system provided by the present invention realizes dynamic updating and visualization of water traffic safety risks, realizes hierarchical control and collaborative linkage of risk information, and improves the water traffic safety supervision capability.

[0048] (2) This invention proposes a risk level determination method and rules, which improves the objectivity of risk level determination and reduces the unfairness caused by subjective evaluation.

[0049] (3) This invention can realize the display of water traffic safety risk information based on "one map", so that regulatory agencies can intuitively understand and grasp the overall risk of the jurisdiction, and facilitate their reasonable allocation of regulatory resources. Attached Figure Description

[0050] Figure 1 A schematic diagram of a water traffic safety risk classification and control system provided as an embodiment of the present invention;

[0051] Figure 2 This is a flowchart illustrating a risk level determination method provided in one embodiment of the present invention. Detailed Implementation

[0052] The embodiments of the present invention will be further described in detail below with reference to the accompanying drawings and examples. The following detailed description of the embodiments and the accompanying drawings are used to illustrate the principles of the present invention by way of example, but should not be used to limit the scope of the present invention. That is, the present invention is not limited to the described preferred embodiments, and the scope of the present invention is defined by the claims.

[0053] In the description of this invention, it should be noted that, unless otherwise stated, "a plurality of" means two or more; the terms "first," "second," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance; those skilled in the art can understand the specific meaning of the above terms in this invention as appropriate.

[0054] Example 1

[0055] like Figure 1 As shown, one embodiment of the present invention provides a water traffic safety risk classification and control system, including a data acquisition and processing module, a risk assessment module, a risk classification and control module, a risk information display module, and a statistical analysis module;

[0056] The data acquisition and processing module is used to collect risk data, preprocess the risk data, and store the preprocessed risk data.

[0057] The risk determination module is used to determine whether the preprocessed risk data meets specific conditions. If it does, the risk situation is directly matched to obtain the risk level determination result; if it does not meet the conditions, the risk level of the preprocessed risk data is determined according to the risk level determination method to obtain the risk level determination result.

[0058] The risk classification and control module is used to construct a risk classification and control measure library, automatically match control measures in the risk classification and control measure library based on the risk level determination result to obtain risk control measures, and transmit the risk level determination result and risk control measures to different institutional users.

[0059] The risk information display module is used to display the location information of risk events, risk level, list of risk events, risk control measures, regulatory resources and historical risk information;

[0060] The statistical analysis module is used to perform risk characteristic analysis and trend change analysis, and presents the results in a graphical format.

[0061] (1) Data acquisition and processing module;

[0062] The data acquisition and processing module includes a data acquisition unit, a data processing unit, and a data storage unit; wherein, the data acquisition unit is used to collect risk data; the data processing unit is used to preprocess the collected risk data, including but not limited to accuracy, repeatability, completeness, and timeliness processing; the data storage unit is used to construct a water traffic safety risk database, and stores the preprocessed risk data into the water traffic safety risk database according to different data types.

[0063] 1) Data acquisition unit;

[0064] The data acquisition unit provides a risk data acquisition interface, which collects passive risk data by setting risk data input restrictions. Risk data includes basic risk information, risk control measures information, risk emergency response information, and the scope of risk impact. Based on the collected risk data, points or areas are drawn on the map to describe the coordinate location of the current risk. Among them, basic risk information includes one or more of the following: risk name, risk type, risk status, detailed address, risk situation, and risk regulatory department; risk control measures information includes one or more of the following: measure name, implementing agency name, and implementing agency content; risk emergency response information includes one or more of the following: emergency measures and emergency supplies list.

[0065] The data acquisition unit also provides a data import function, which allows for the centralized collection of risk data in batches that meet the data entry specifications by setting a data import template.

[0066] Furthermore, in one embodiment, the data acquisition unit also provides a data export function. Through the data export function, the user selects the list of data to be exported and can export all risk data with one click.

[0067] 2) Data processing unit;

[0068] The data processing unit is used to process the collected risk data in terms of accuracy, repeatability, completeness, and timeliness.

[0069] The accuracy processing of risk data includes: defining data rules (data rules include the accuracy of names, risk types, risk statuses, risk situations, and address descriptions, and the absence of garbled or abnormal information); judging the accuracy of risk data through data rules; providing error messages for inaccurate risk data during the data entry process; and storing accurate risk data.

[0070] The process for handling duplicate risk data includes: determining whether the risk name, risk category, risk status, and risk regulatory department are all the same; if they are all the same, then eliminating the duplicate data based on the entry time.

[0071] The integrity handling of risk data includes: defining mandatory fields and fields to constrain data integrity, and providing error messages during the data entry process for incomplete data.

[0072] Timely processing of risk data includes: screening data tables by checking the latest record update time log, and issuing online alerts if no new records are generated within a specified time.

[0073] 3) Data storage unit;

[0074] The data storage unit constructs a water traffic safety risk database, which includes a risk basic information data table, a risk control measures information data table, a risk emergency response information data table, and a risk level determination information data table, etc., and stores the pre-processed risk data into the corresponding data tables according to different data types.

[0075] (2) Risk assessment module;

[0076] The risk assessment module is used to assess the risk level of preprocessed risk data and obtain a risk level assessment result. This includes: determining whether the preprocessed risk data meets specific conditions; if so, directly matching the risk scenario in a preset specific condition risk level table based on the preprocessed risk data to obtain a risk level assessment result; if not, assessing the risk level of the preprocessed risk data according to a risk level assessment method to obtain a risk level assessment result. The specific conditions include severe weather conditions (e.g., the passage of a tropical cyclone (wind force 10 or above), visibility of 500 meters or less) or the scope of an accident hazard; the specific condition risk level table includes the specific conditions and the corresponding risk level and risk control measure level for each specific condition; the risk level assessment result includes, but is not limited to, the risk level and risk control measure level.

[0077] The risk assessment module includes a risk identification parameter configuration unit, a risk causative factor index and weight configuration unit, a risk severity matching unit, and a risk level assessment calculation unit. The risk identification parameter configuration unit configures risk identification parameters based on preprocessed risk data and identifies potential risk events based on these parameters. The risk causative factor index and weight configuration unit configures risk causative factor indicators and weights for the potential risk events and obtains the causative factors of the potential risk events based on these indicators and weights. The risk severity matching unit matches the severity level of potential risk events based on the severity of historical events to obtain a risk severity value for the potential risk events. The risk level assessment calculation unit calculates static and dynamic risk values ​​based on the causative factors and risk severity values ​​of the potential risk events and determines the risk level of the potential risk events based on the magnitude of the risk values, thereby achieving risk level assessment.

[0078] 1) Risk identification parameter configuration unit;

[0079] The risk identification parameter configuration unit is used to provide a risk identification parameter configuration interface, configure parameters in the risk identification process based on preprocessed risk data, and obtain risk identification parameters; identify potential risk events based on the risk identification parameters; the risk identification parameters include one or more of the following: vessel type, vessel activity water area, vessel activity / operation type, functional water area where the risk event occurs, risk event type, basic information of the risk event, risk occurrence probability level and value.

[0080] The term "vessel activity waters" is defined by functional water areas, including: navigable waters, primarily waterways for vessel navigation; facility waters, mainly areas with obstructive navigational facilities such as above-water and underwater construction sites, bridge areas, and pipeline areas, which are prone to accidents; and berthing waters, mainly wharves and anchorages where vessels are moored. The term "vessel types" refers to the operational status of vessels in the area, including high-speed passenger ships, ordinary passenger ships, dangerous goods ships, container ships, and general cargo ships. The term "vessel activity / operation type" refers to the activities or operations of vessels entering and leaving the area, categorized as: vessel navigation, vessel berthing (including berthing, unberthing, mooring, and shifting), vessel construction operations, and vessel loading / unloading operations (including loading or unloading operations, tank cleaning or washing operations, oil supply and receiving operations, crude oil tank washing operations, and pollutant reception operations).

[0081] Based on risk identification parameters, potential risk events are identified. These potential risk events are mainly classified according to the relevant provisions of the Statistical Methods for Maritime Traffic Accidents, including: collision and capsizing risks; grounding and stranding risks; contact risks; wave damage risks; fire and explosion risks; wind disaster or typhoon risks; self-sinking and sinking risks; leakage and pollution risks; and other risks.

[0082] 2) Risk-causing factor indicators and weighting configuration unit;

[0083] The risk-causing factor indicator and weight configuration unit is used to provide a risk-causing factor indicator and weight configuration interface to configure the risk-causing factor indicators and weights for potential risk events, and to obtain the risk-causing factors of potential risk events based on the risk-causing factor indicators and weights; configuring the risk-causing factor indicators and weights includes: for risk events, selecting risk-causing factor indicators from aspects such as human factors, ship factors, material factors, environmental factors and management factors, and configuring indicator weights for the risk-causing factor indicators.

[0084] The analysis of human factors primarily focuses on the suitability of personnel, their safety awareness, safety and emergency skills, and safe behaviors or conditions. This includes factors such as crew members not possessing valid certificates of competency, crew members not adhering to navigation rules or safe operating procedures, crew members not complying with cargo loading and unloading regulations, and insufficient crew manning. Ship factors mainly analyze the ship's machinery, hull structure and strength, maneuverability, cargo loading and lashing, and other related conditions. Material factors primarily analyze the cargo carried by the ship, such as the cargo's hazardous nature, cargo volume, and mode of transport. Environmental factors mainly analyze the conditions under which the ship operates, including the natural environment, navigation environment, navigation order, and operational environment. Management factors mainly analyze factors related to the management of the relevant authorities, ship owners, operators or managers, port enterprises, and construction units.

[0085] Based on risk causative factor indicators and weights, identify the risk causative factors that lead to potential risk events, analyze the possible consequences and adverse effects of risk causative factors after the occurrence of risk events, and thus obtain risk identification results.

[0086] 3) Risk severity matching unit;

[0087] The risk severity matching unit is used to automatically match the severity level of a potential risk event based on the severity level of historical events, and assign a risk severity value to the event; the system also provides a manual verification and modification function, when there is a difference between the risk severity value and the user's perception, the user can modify the risk severity value and fill in the modification basis.

[0088] 4) Risk level determination calculation unit;

[0089] The risk level determination calculation unit is used to calculate static and dynamic risk values ​​based on the causative factors and severity values ​​of potential risk events, and to determine the risk level based on the magnitude of the risk values, so as to achieve risk level determination, obtain risk level determination results, and store the risk level determination results in the data storage unit.

[0090] like Figure 2 As shown, the risk assessment module assesses the risk level of preprocessed risk data according to the risk level assessment method. This includes identifying risks in the preprocessed risk data to obtain potential risk events and risk-causing factors; assessing the potential risk events to obtain their risk levels; and determining the risk control measures level based on the risk type, risk level, and risk-causing factors of the potential risks, thereby achieving risk-level control.

[0091] ① Risk identification includes: The risk identification parameter configuration unit divides the preprocessed risk data into corresponding risk identification units (the risk identification unit corresponds to a spatial location, and the main purpose of dividing the risk identification unit is to refine the location of risk events for standardized management). In each risk identification unit, the flowchart method is used to investigate and analyze each stage and link of the ship's entry and exit process, and potential risk events are identified and determined according to the risk identification parameters. The risk causative factor index and weight configuration unit comprehensively considers the risk causative factor index and weight to find the causative factors that lead to the occurrence of risk events, analyzes the possible consequences and adverse effects after the causative factors lead to the occurrence of risk events, and thus obtains the risk identification results. The risk identification results include potential risk events and the causative factors of potential risk events.

[0092] The risk identification units are divided according to factors such as regional regulatory characteristics, vessel operating environment, vessel speed under different conditions, conditions required for rescue operations in the event of an accident, and potential environmental pollution. The pre-processed risk data is divided into appropriate risk identification units. These units, from largest to smallest, are management grids, responsibility grids, and unit grids. The management grid is based on the basic framework of maritime traffic safety supervision, with grassroots management agencies as the basic management entities, and its management scope constitutes one management grid. The responsibility grid is a corresponding responsibility area defined by each grassroots management agency based on the characteristics of the regional waters, regulatory characteristics, and vessel traffic characteristics. For each responsibility grid, specific regulatory resources and responsibilities need to be clearly defined; one management grid can be divided into multiple responsibility grids. The unit grid corresponds to the smallest risk identification unit, using functional waters as unit grids, and multiple unit grids with similar functions form a responsibility grid.

[0093] Identifying potential risk events refers to studying and determining possible risk events by taking into account risk identification parameters (such as different waters of vessel activity, based on vessel type and vessel operation / activity type), combined with the actual situation of daily safety production management, and comprehensively considering the occurrence of historical risk events in the jurisdiction; analyzing risk-causing factors refers to comprehensively analyzing the impact of risk-causing factor indicators and weights (such as human factors, vessel factors, material factors, environmental factors, and management factors) on risk events.

[0094] ② Risk assessment includes: The risk level determination calculation unit assesses potential risk events after risk identification based on the timing of static risk assessment (static risk assessment refers to periodic assessments, with annual, quarterly, monthly, or periodic cycles) and the timing of dynamic risk assessment (dynamic risk assessment is a near-real-time assessment, generally measured in hours), from both static and dynamic risk dimensions to obtain the risk level of potential risk events; and determines the changes in risk level based on the risk assessment results; that is, the risk assessment includes static risk assessment and dynamic risk assessment.

[0095] Static risk assessment, also known as periodic risk assessment, is conducted periodically based on regional regulatory characteristics and changes in water transportation, with annual, quarterly, monthly, or time-period cycles, to adjust the overall risk level of the risk identification unit in a timely manner.

[0096] The static risk assessment selects different risk-causing factor indicators. The risk severity matching unit analyzes the probability of occurrence of different risk-causing factors and the severity of potential risk events to obtain a risk severity value. The risk level determination calculation unit uses the risk assessment matrix method based on the risk severity value to obtain the static risk value of the region. The static risk value is expressed by the following formula:

[0097] R = L × S

[0098] In the formula, R is the static risk value; L is the risk probability value; and S is the risk severity value.

[0099]

[0100] In the formula, L is the risk probability value; m represents the number of indicators in the first layer; and n represents F. x1 The number of corresponding second-level indicators; Q x1 F x1 F represents the weight and score of the x-th indicator in the first layer, respectively; y1 F y2 F yn These represent the scores of the first to nth indicators in the second layer.

[0101] The risk probability value is determined by the likelihood of the risk-causing factors occurring. Based on the actual situation of risk-causing factors in a region, and following the principles of representativeness, independence, relativity, quantifiability, and data collectability, different risk probability assessment indicators are used for different functional areas. The risk probability assessment indicators, their weights, and scores can all be adjusted and supplemented according to the actual situation in the region.

[0102] The severity of risks is categorized into four levels: not serious, relatively serious, serious, and extremely serious, with values ​​ranging from 1 to 10. Based on the key vessels under regional supervision, the maximum potential casualties, economic losses, environmental pollution, and social impacts that may result from a risk event are analyzed, taking into account the consequences and losses of similar historical events.

[0103] Dynamic risk assessment refers to the need to dynamically conduct risk assessments and adjust the dynamic risk level of risk identification units in real time when changes occur in the risk factors affecting water traffic safety.

[0104] The dynamic risk assessment is based on the characteristics of regional safety supervision and the impact of risks. It adopts a fuzzy comprehensive evaluation method and follows the following principles to determine the risk level and obtain a dynamic risk value: 1) Veto principle: When certain indicators reach or exceed the critical value for ship navigation operations, such as when the wind force reaches level 10 or above, the regional risk is directly adjusted to a major risk; 2) Indicator upgrade principle: Among all the evaluated indicators, if there are many indicators close to the critical value for navigation operations, the risk situation is relatively high under the combined effect of multiple indicators, and the risk situation is directly adjusted to a major risk; 3) Special classification principle: Special risk classification principles can be formulated according to management needs for major water activities and sudden water traffic incidents.

[0105] The fuzzy comprehensive evaluation method uses weighted evaluation, where the weight coefficients are represented by fuzzy weight vectors and the factor scores are represented by evaluation matrices. Combining the regional characteristics and the quantifiability and availability of indicators, a regional dynamic risk assessment indicator system is determined from several dimensions, including personnel skills and comprehensive quality, ship entry and exit status, ship traffic flow, visibility, wind, and shipping company management level.

[0106] ③ Risk management includes: determining the level of risk management measures based on the risk type, risk level, and risk-causing factors of potential risk events (the level of risk management measures is equivalent to a directory or category of management measures, which can clearly define which dimensions to determine risk management measures, so that the risk measures dynamic matching unit can match the corresponding measures later), scientifically formulating targeted management measures, clarifying the risk responsibility subject and the regulatory subject, and limiting the risk to a preventable and controllable range, thereby achieving risk-level management.

[0107] The risk management measures are tiered into three levels: key technologies and engineering measures, personnel competence and system management measures, and personal protective equipment and emergency management measures. Key technologies and engineering measures primarily refer to the basic technical requirements and control measures for ensuring ship seaworthiness, crew competence, and cargo suitability. These measures ensure that ships, crew members, cargo loading, maritime facilities, shipping containers, important marine equipment, components, and materials comply with the requirements of the International Maritime Organization (IMO), domestic laws, regulations, administrative rules, and mandatory standards and technical specifications. Personnel competence and system management measures primarily address personnel skills, operating procedures, and management systems. System management measures include establishing an organizational structure, clarifying responsibilities, establishing a system of regulations, conducting regular safety risk assessments, and carrying out risk monitoring and early warning. Personal protective equipment and emergency management measures include providing required protective equipment such as lifeboats, life rings, helmets, safety belts, and protective clothing. Emergency management measures include developing emergency plans and on-site response plans, equipping emergency equipment, emergency duty, emergency evacuation, and emergency drills.

[0108] Risk classification and control follows the principle of "classified management and control, internal and external comprehensive governance". Based on the risk level and risk-causing factors, corresponding risk control measures are taken for different risk types.

[0109] (3) Risk classification and control module;

[0110] The risk classification and control module includes a risk measure management unit, a risk measure query unit, a risk measure dynamic matching unit, and a risk measure information synchronization unit. The risk measure management unit is used to create a risk classification and control measure library, enabling dynamic updates and management of risk measures. The risk measure query unit is used to query and obtain detailed information on risk control measures. The risk measure dynamic matching unit is used to automatically obtain risk control measures corresponding to risk events. The risk measure information synchronization unit is used to enable collaborative linkage of risk measures and related information among different institutional users.

[0111] 1) Risk Management Unit;

[0112] The risk measures management unit is used to provide functions for adding, editing, and canceling risk measures for different types and levels of risks, forming a risk classification and control measures library; the newly added risk measures include one or more of the following: risk type, risk level, measure name, measure content, implementing agency type, implementing agency name, and effective date.

[0113] The system provides a risk control measure import function, allowing users to import risk control measures in batches according to the import template requirements; it also provides a risk control measure export function, allowing users to export the required risk control measure documents as needed.

[0114] 2) Risk measures query unit;

[0115] The risk measures query unit provides keyword query, risk type query, and risk level query functions. The system presents the query results in a list format, and clicking on the list allows you to view detailed information about the measures.

[0116] The risk type and risk level queries provide a tree-structured query method, which by default displays all risk prevention and control measures for the jurisdictional waters. Clicking on a risk type will display all the corresponding risk control measures for that risk type, and clicking on the risk level of a risk type will display the risk control measures corresponding to that risk level.

[0117] 3) Dynamic matching unit for risk measures;

[0118] The dynamic risk control matching unit is mainly used to automatically obtain risk control measures corresponding to risk events. During the risk assessment process, risk control measures are automatically matched and pushed based on the risk name, risk level, implementing agency, and other information. During the display of control measures, this function displays the matched measures and can also recommend the main measures taken by other institutions to carry out the same risk prevention and control.

[0119] 4) Risk measure information synchronization unit;

[0120] The aforementioned risk measure information synchronization unit refers to the system's function of uploading and distributing risk measures. Users can report risk and risk control measures information within their jurisdiction to higher-level organizations, or distribute such information to their subordinate organizations, thereby achieving collaborative linkage of risk and risk control measures information among different users.

[0121] Superior users can view the risk and risk control measures reported by all branch users in their jurisdiction in the risk information display module. Users at the same level can view the risk and risk control measures within their jurisdiction, as well as information issued by superior users.

[0122] (4) Risk information display module;

[0123] The risk information display module includes a risk map display unit, a risk list display unit, a control measures display unit, a regulatory resource display unit, and a risk information playback unit. The risk map display unit uses a four-color (red, orange, yellow, blue) map to display the location information and risk level of risk events. The risk list display unit displays a list of all risk events within the region in tabular form. The control measures display unit provides control measures corresponding to different risk events. The regulatory resource display unit displays regulatory resources within the region. The risk information playback unit displays historical risk information.

[0124] 1) Risk map display unit;

[0125] The risk map display unit is based on an electronic map and uses four colors—red, orange, yellow, and blue—to display risk information. By default, the location information of water traffic safety risk events is displayed as dot symbols on the electronic map. Different risk levels are displayed in different colors in the GIS. Specifically: red represents major risk, orange represents significant risk, yellow represents moderate risk, and blue represents minor risk.

[0126] As the map is zoomed in to a certain scale, the area information (i.e., location information) of the risk event is displayed in an area graphic; clicking on the point graphic or area graphic will bring up a dialog box displaying basic risk information and risk control measures.

[0127] 2) Risk list display unit;

[0128] The risk list display unit displays a list of all risk events in the region in tabular form. The table supports functions such as pagination, querying, and sorting. The system supports merging records between tables. Risk events with the same region, type, and risk level can be merged, and manual verification is provided.

[0129] Double-clicking a record in the list opens the basic risk information page, where users with different permissions can view or edit the basic risk information.

[0130] 3) Control measures display unit;

[0131] The control measures display unit provides a list of risk control measures that different management agencies should take for specific water traffic safety risk events, as well as a list of other typical measures.

[0132] 4) Regulatory resource display unit;

[0133] The regulatory resource display unit is based on an electronic map and displays regulatory resource information within the jurisdiction, including VTS system resources, CCTV video resources, VHF communication resources, patrol enforcement resources, emergency rescue facilities and equipment, etc. The system displays the spatial location of regulatory resources with dot icons, and clicking the corresponding icon can obtain detailed information about the resource.

[0134] 5) Risk information playback unit;

[0135] The risk information playback unit is based on days and provides a time progress tool to display historical risk information; dragging the time scale to a certain year, month, and day will display the valid risk information up to that day on the map.

[0136] The system provides a comparison page where users can view a comparison chart of risk information at a given time point and the current time point, as well as a risk comparison list. The system also provides a comparison chart and risk list of risk events at any two selected time points.

[0137] (5) Statistical Analysis Module;

[0138] The statistical analysis module includes a risk characteristic analysis unit and a risk pattern analysis unit; wherein, the risk characteristic analysis unit is used for the graphical presentation of risk characteristic analysis results; and the risk pattern analysis unit is used for the graphical presentation of risk trend change results.

[0139] 1) Risk Characteristic Analysis Unit;

[0140] The risk characteristic analysis unit includes statistical analysis of the number of risks in different jurisdictions, statistical analysis of the number of risks at different levels, statistical analysis of the number of risks of different types, and statistical analysis of risk measures of different types. The statistical analysis results are displayed in the form of graphs and tables.

[0141] 2) Risk Pattern Analysis Unit;

[0142] The risk pattern analysis unit includes trend analysis of risk quantity changes in different jurisdictions, trend analysis of risk quantity changes at different levels, and trend analysis of risk quantity changes of different types, and displays the trend change results in the form of line graphs.

[0143] This invention proposes a method for determining the risk level of water traffic safety, clarifies the working standards for determining the risk level of water traffic safety, improves the objectivity of risk level determination, and reduces the unfairness caused by subjective evaluation. The water traffic safety risk classification and control system of this invention, oriented towards regional safety supervision, realizes dynamic updating and visual display of water traffic safety risks, achieves hierarchical control and collaborative linkage of risk information, and improves the ability to supervise water traffic safety. Furthermore, this invention displays water traffic safety risk information based on a single map, allowing regulatory agencies to intuitively understand and grasp the overall risk situation in their jurisdiction, facilitating the rational allocation of regulatory resources.

[0144] Example 2

[0145] An embodiment of the present invention provides a method for graded control of water traffic safety risks, comprising the following steps:

[0146] S100: Collect risk data and preprocess the risk data;

[0147] S200: Determine whether the preprocessed risk data meets specific conditions. If it does, directly match the risk situation to obtain the risk level determination result; if it does not meet the conditions, determine the risk level of the preprocessed risk data according to the risk level determination method to obtain the risk level determination result.

[0148] S300: Construct a risk classification and control measure library, automatically match control measures in the risk classification and control measure library based on the risk level determination result to obtain risk control measures; and transmit the risk level determination result and risk control measures to different institutional users.

[0149] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed in this invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0150] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0151] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0152] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0153] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0154] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A water traffic safety risk classification and control system, characterized in that, It includes a data acquisition and processing module, a risk assessment module, and a risk classification and control module; The data acquisition and processing module is used to collect risk data and preprocess the risk data; The risk determination module is used to determine whether the preprocessed risk data meets specific conditions. If it does, the risk situation is directly matched based on the preprocessed risk data to obtain the risk level determination result. If not, the preprocessed risk data will be risk identified to obtain potential risk events and risk factors. The potential risk events will be risk assessed to obtain the risk level of the potential risk events. Based on the risk type, risk level and risk factors of the potential risk events, the risk control measures level of the potential risk events will be determined to obtain the risk level determination result. The risk level determination result includes the risk level and the level of risk control measures; The risk identification process includes: dividing the preprocessed risk data into corresponding risk identification units; using flowcharts to investigate and analyze each stage and link of the ship's entry and exit process in each risk identification unit; identifying and determining potential risk events according to risk identification parameters; and identifying risk-causing factors based on risk-causing factor indicators and weights, thereby obtaining potential risk events and risk-causing factors. The risk identification parameters include different ship activity waters, ship types, and ship operation / activity types. A risk assessment is conducted on the potential risk events. This risk assessment includes static and dynamic risk assessments. The static risk assessment is conducted periodically, on an annual, quarterly, monthly, or time-period basis. The dynamic risk assessment is a near-real-time assessment. It includes: calculating static and dynamic risk values ​​based on the causative factors and severity values ​​of the potential risk events; and determining the risk level of the potential risk events based on the magnitude of the static and dynamic risk values. The dynamic risk value is obtained by using a fuzzy comprehensive evaluation method and following preset principles to determine the risk level. The fuzzy comprehensive evaluation method uses weighted evaluation, where the weight coefficients are represented by fuzzy weight vectors, and the scores of the causative factors are represented by an evaluation matrix. The static risk value is calculated using the following formula: R = L × S In the formula, R is the static risk value; L is the risk probability value; and S is the risk severity value. In the formula, L is the risk probability value; m represents the number of indicators in the first layer; n represents... The number of corresponding second-level indicators; , They represent the first layer, the second layer, the third layer, the fourth layer, the fifth layer, the sixth ... x The weight and score of each indicator; These represent the scores of the first to nth indicators in the second layer, respectively. The risk classification and control module is used to construct a risk classification and control measure library, and automatically match control measures in the risk classification and control measure library based on the risk level determination result to obtain risk control measures; it is also used to provide the upload and download functions of the risk level determination result and risk control measures to realize the collaborative linkage of information among different users.

2. The water traffic safety risk classification and control system according to claim 1, characterized in that, The data acquisition and processing module includes a data acquisition unit, a data processing unit, and a data storage unit; The data acquisition unit is used to collect risk data; The data processing unit is used to preprocess the risk data, including accuracy, repeatability, completeness and timeliness processing; The data storage unit is used to construct a water traffic safety risk database, and stores the preprocessed risk data into the water traffic safety risk database according to different data types.

3. The water traffic safety risk classification and control system according to claim 1, characterized in that, The risk data includes basic risk information, risk control measures information, risk emergency response information, and the scope of the risk's impact.

4. The water traffic safety risk classification and control system according to claim 1, characterized in that, The risk assessment module includes a risk identification parameter configuration unit, a risk-causing factor indicator and weight configuration unit, a risk severity matching unit, and a risk level assessment calculation unit. The risk identification parameter configuration unit is used to configure risk identification parameters based on preprocessed risk data, and to identify potential risk events based on the risk identification parameters. The risk-causing factor index and weight configuration unit is used to configure risk-causing factor indicators and weights for the potential risk event, and to obtain the risk-causing factors of the potential risk event based on the risk-causing factor indicators and weights. The risk severity matching unit is used to match the severity level of potential risk events based on the severity of historical events, and obtain the risk severity value of the potential risk events; The risk level determination calculation unit is used to calculate static and dynamic risk values ​​based on the causative factors and severity values ​​of potential risk events, and to determine the risk level of potential risk events based on the magnitude of the risk values.

5. A water traffic safety risk classification and control system according to claim 4, characterized in that, The risk identification parameters include one or more of the following: vessel type, vessel activity area, vessel activity / operation type, functional area where the risk event occurs, risk event type, basic information about the risk event, and the probability level and value of the risk occurrence.

6. The water traffic safety risk classification and control system according to claim 1, characterized in that, The risk-causing factors and their weights include one or more of the following: human factors, ship factors, material factors, environmental factors, and management factors.

7. The water traffic safety risk classification and control system according to claim 1, characterized in that, It also includes a risk information display module and a statistical analysis module; The risk information display module is used to display the location information of risk events, risk level, list of risk events, risk control measures, regulatory resources and historical risk information; The statistical analysis module is used to perform risk characteristic analysis and trend change analysis, and presents the results in a graphical format.

8. A method for risk classification and control of water traffic safety, characterized in that, Includes the following steps: S100: Collect risk data and preprocess the risk data; S200: Determine whether the preprocessed risk data meets specific conditions. If it does, directly match the risk situation to obtain the risk level determination result. If not, the preprocessed risk data will be risk identified to obtain potential risk events and risk factors. The potential risk events will be risk assessed to obtain the risk level of the potential risk events. Based on the risk type, risk level and risk factors of the potential risk events, the risk control measures level of the potential risk events will be determined to obtain the risk level determination result. The risk level determination result includes the risk level and the risk control measure level; wherein, the risk identification includes: dividing the preprocessed risk data into corresponding risk identification units, and using the flowchart method to investigate and analyze each stage and each link of the ship's entry and exit process in each risk identification unit, and identifying and determining potential risk events according to the risk identification parameters; and identifying risk-causing factors based on risk-causing factor indicators and weights, thereby obtaining potential risk events and risk-causing factors; the risk identification parameters include different ship activity waters, ship types, and ship operation / activity types; A risk assessment is conducted on the potential risk events. This risk assessment includes static and dynamic risk assessments. The static risk assessment is conducted periodically, on an annual, quarterly, monthly, or time-period basis. The dynamic risk assessment is a near-real-time assessment. It includes: calculating static and dynamic risk values ​​based on the causative factors and severity values ​​of the potential risk events; and determining the risk level of the potential risk events based on the magnitude of the static and dynamic risk values. The dynamic risk value is obtained by using a fuzzy comprehensive evaluation method and following preset principles to determine the risk level. The fuzzy comprehensive evaluation method uses weighted evaluation, where the weight coefficients are represented by fuzzy weight vectors, and the scores of the causative factors are represented by an evaluation matrix. The static risk value is calculated using the following formula: R = L × S In the formula, R is the static risk value; L is the risk probability value; and S is the risk severity value. In the formula, L is the risk probability value; m represents the number of indicators in the first layer; n represents... The number of corresponding second-level indicators; , These represent the weight and score of the x-th indicator in the first layer, respectively. These represent the scores of the first to nth indicators in the second layer, respectively. S300: Construct a risk classification and control measure library, automatically match control measures in the risk classification and control measure library based on the risk level determination results to obtain risk control measures; and upload and distribute the risk level determination results and risk control measures to different institutional users to achieve information collaboration and linkage among different institutional users.

Images