A personnel gathering early warning method applied to chemical plants

Abstract

A personnel gathering warning method applied to a chemical plant relates to the field of personnel warning in a chemical plant. The method comprises: determining multiple risk areas of a chemical plant, and personnel risk thresholds corresponding to each of the risk areas; obtaining the current number of personnel in each of the risk areas, and determining a target risk area based on the current number of personnel; determining adjacent areas of the target risk area, and adjacent personnel corresponding to each of the adjacent areas; calculating the gathering risk value of adjacent personnel corresponding to each of the adjacent areas to the target risk area, and determining risk personnel based on the gathering risk value; when the sum of the number of risk personnel and the current number of personnel is greater than the personnel risk threshold corresponding to the target risk area, issuing a warning prompt. Implementing the technical solution provided by the present application can improve the safety of workers in chemical plants.

Description

Technical Field

[0001] The present application relates to the technical field of personnel early warning in chemical plants, and in particular to a personnel gathering early warning method applied in chemical plants. Background Art

[0002] Chemical plants have extremely high safety risks due to the widespread use of hazardous chemicals in their production processes. Therefore, the safety management of chemical plants is an important topic in the field of industrial safety, especially the safety management of personnel, which is directly related to casualties and the efficiency of emergency evacuation when an accident occurs.

[0003] The existing chemical plant safety management system usually includes technologies such as video surveillance, access control systems and positioning systems to monitor the distribution and gathering of personnel. A warning is only issued when the number of people gathered in the dangerous area reaches the dangerous number. This traditional monitoring and early warning method lacks dynamic assessment of the gathering situation of personnel and cannot carry out risk gathering control in a timely manner, resulting in lower safety of workers in chemical plants. Summary of the invention

[0004] The present application provides a personnel gathering early warning method, system medium and equipment applied to a chemical plant, which can improve the safety of workers in the chemical plant.

[0005] In a first aspect, the present application provides a personnel gathering early warning method applied to a chemical plant, the method comprising: determining a plurality of risk areas of the chemical plant, and a personnel risk threshold corresponding to each of the risk areas;

[0006] Acquire the current number of personnel in each of the risk areas, and determine the target risk area based on the current number of personnel in each of the risk areas;

[0007] Determine the neighboring areas of the target risk area, and the neighboring persons corresponding to each of the neighboring areas;

[0008] Calculating the aggregated risk value of the neighboring persons corresponding to each of the neighboring areas to the target risk area, and determining the risk persons based on the aggregated risk value;

[0009] When the sum of the number of risk personnel and the current number of personnel is greater than the personnel risk threshold corresponding to the target risk area, an early warning prompt is issued.

[0010] By adopting the above technical solution, by determining multiple risk areas inside the chemical plant and setting corresponding personnel risk thresholds for each area, it is in line with the actual production scenario, which is conducive to refined management and control, monitoring the real-time number of personnel in each risk area, and determining the target risk area with a high density of personnel, so as to focus the analysis on this area, determine the adjacent areas of the target area, and calculate the aggregation risk value of personnel in each adjacent area entering the target area in the future, so as to accurately identify all risk personnel with potential aggregation risks and list them as key monitoring objects. When the sum of the number of risk personnel and the current number of personnel is greater than the personnel risk threshold corresponding to the target risk area, an early warning prompt is immediately issued. Compared with the existing technology, this solution can predict potential dangerous personnel in advance and issue early warnings, so that risk aggregation management can be carried out more timely, thereby improving the safety of workers in chemical plants.

[0011] Optionally, the determining of multiple risk areas of the chemical plant and a personnel risk threshold corresponding to each of the risk areas includes:

[0012] Acquire a plan area map of the chemical plant, wherein the plan area map includes a plurality of areas;

[0013] Obtaining historical production data and production types for each of the said regions;

[0014] The area where the production type is dangerous is regarded as a risk area;

[0015] A personnel risk threshold corresponding to each of the risk areas is determined based on the historical production data.

[0016] By adopting the above technical solution, the historical production data and production type information of each area unit in the plane area map are obtained. These original data can not only reflect the actual production status of each area, but also reflect the degree of danger corresponding to different production types. The area with production type of "dangerous type" is determined as a risk area. Further, based on the historical production data of each area, the corresponding personnel risk thresholds are set for them in a targeted manner. It can be closer to the actual situation and customize reasonable thresholds for each risk area, avoiding the threshold setting being too empirical or single.

[0017] Optionally, determining the target risk area based on the current number of personnel includes:

[0018] Obtaining the risk level of each of the risk areas;

[0019] Determine a basic personnel threshold for each risk area based on the personnel risk threshold and risk level corresponding to each risk area, wherein the basic personnel threshold is less than the personnel risk threshold;

[0020] The risk area where the current number of personnel is greater than or equal to the corresponding basic personnel threshold is determined as the target risk area.

[0021] By adopting the above technical solution, the basic personnel threshold of each risk area is comprehensively determined according to the two key factors of the personnel risk threshold and risk level of the area, wherein the basic personnel threshold is set to a value lower than the personnel risk threshold, which can better balance the safety requirements and production needs of each risk area and realize hierarchical and classified management. Compared with the use of a single unified threshold in the existing technology, it is more scientific and reasonable and more in line with the actual situation.

[0022] Optionally, the calculating of the aggregation risk value of the neighboring persons corresponding to each of the neighboring areas to the target risk area includes:

[0023] Determine the work attributes of the neighboring personnel corresponding to each of the neighboring areas and the historical location coordinates of a preset time period;

[0024] Predicting the movement trajectory of each of the neighboring persons based on the historical position coordinates;

[0025] The aggregate risk value of each of the neighboring persons to the target risk area is determined according to the work attributes and the movement trajectory.

[0026] By adopting the above technical solution, by analyzing the real movement data of each person in the past, discovering and extracting their high-frequency movement patterns, and then applying these patterns to the calculation of location coordinates and path prediction, it has higher accuracy and specificity than the existing technology, can be closer to the actual movement habits of personnel, and improves the accuracy of risk value calculation.

[0027] Optionally, determining the aggregation risk value of each of the neighboring persons to the target risk area according to the work attribute and the movement trajectory includes:

[0028] According to the work attributes and the movement trajectory, the probability of each of the neighboring persons entering the target risk area is determined; based on the probability and the distance between each of the neighboring persons and the target risk area, the aggregate risk value of each of the neighboring persons to the target risk area is determined.

[0029] By adopting the above technical solution, combined with the above probability value, and based on the spatial distance between each neighboring person and the target risk area, their aggregation risk value for the area is jointly determined. The size of the probability value reflects the possibility of a person entering the target area. The higher the probability, the greater the risk; and the distance represents the degree of harm to the target area once a person enters. The comprehensive consideration of these two key factors enables the final aggregation risk value to more comprehensively evaluate the actual risk that each person brings to the target area.

[0030] Optionally, predicting the movement trajectory of each of the neighboring persons based on the historical position coordinates includes:

[0031] Arranging the historical position coordinates in chronological order to form a historical trajectory sequence;

[0032] Calculating the moving direction and moving distance between two adjacent position coordinates in the historical trajectory sequence;

[0033] Count the frequency of each moving direction and moving distance;

[0034] Predicting a set of position coordinates of each of the neighboring persons based on the moving direction and moving distance that appear most frequently;

[0035] The position coordinates in the position coordinate set are connected to obtain a movement trajectory.

[0036] By adopting the above technical solution, the adjacent position coordinates in the historical trajectory sequence are calculated and compared in pairs, so as to obtain the actual moving direction and moving distance of the person between the two coordinate points, and extract the moving direction and distance with a higher frequency of occurrence, which represents the moving path that the person is more accustomed to and prefers. Based on a group of moving vectors with the highest frequency, the coordinate position of the person in a period of time in the future is predicted to obtain a position coordinate set, and the coordinates in the position coordinate set are connected in chronological order to generate the predicted movement trajectory of the person. The prediction is based on the real historical movement data of the person, rather than relying on theoretical models or human experience, and the prediction result is more targeted and reliable.

[0037] Optionally, when the sum of the number of risk personnel and the current number of personnel is greater than the personnel risk threshold corresponding to the target risk area, issuing a warning prompt includes:

[0038] Calculate the percentage by which the sum of the number of risk personnel and the current number of personnel exceeds the personnel risk threshold;

[0039] Determine a warning level according to the percentage, wherein the warning level includes a mild warning, a moderate warning, and a severe warning;

[0040] A corresponding warning method is determined according to the warning level, and the warning method includes sound and light alarm, text message notification and emergency broadcast; a warning prompt is issued to the target risk area according to the warning method, and the warning prompt includes the current warning level and the recommended evacuation route.

[0041] By adopting the above technical solution, the specific percentage of the total number of people exceeding the risk threshold is calculated, and the warning level is dynamically graded according to the percentage of excess, and a reasonable warning method is selected for each level, which has a strong sense of pertinence and hierarchy. For example, for a mild warning, it may only be necessary to send out an audible and visual alarm signal; for moderate and severe warnings, it is necessary to send out text message notifications and emergency broadcasts at the same time to evacuate people as soon as possible, thereby improving the efficiency of warning.

[0042] In a second aspect of the present application, a personnel gathering warning system applied to a chemical plant is provided, the system comprising: a personnel threshold determination module, used to determine a plurality of risk areas of the chemical plant, and a personnel risk threshold corresponding to each of the risk areas;

[0043] A risk area determination module, used to obtain the current number of personnel in each risk area, and determine a target risk area based on the current number of personnel;

[0044] A neighboring information determination module is used to determine neighboring areas of a target risk area and neighboring persons corresponding to each of the neighboring areas;

[0045] A neighboring risk calculation module, used to calculate the aggregated risk value of the neighboring persons corresponding to each of the neighboring areas to the target risk area, and determine the risk persons based on the aggregated risk value;

[0046] The early warning prompt sending module is used to issue an early warning prompt when the sum of the number of risk personnel and the current number of personnel is greater than the personnel risk threshold corresponding to the target risk area.

[0047] In a third aspect of the present application, a computer storage medium is provided, wherein the computer storage medium stores a plurality of instructions, wherein the instructions are suitable for being loaded by a processor and executing the above method steps.

[0048] In a fourth aspect of the present application, an electronic device is provided, comprising: a processor and a memory; wherein the memory stores a computer program, and the computer program is suitable for being loaded by the processor and executing the above-mentioned method steps.

[0049] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0050] This application determines multiple risk areas within a chemical plant and sets corresponding personnel risk thresholds for each area, which is in line with actual production scenarios and is conducive to refined management and control. It monitors the real-time number of personnel in each risk area, determines the target risk area with a high density of personnel, and focuses the analysis on this area. It determines the adjacent areas of the target area and calculates the aggregation risk value of personnel in each adjacent area entering the target area in the future, so as to accurately identify all risk personnel with potential aggregation risks and list them as key monitoring objects. When the sum of the number of risk personnel and the current number of personnel is greater than the personnel risk threshold corresponding to the target risk area, an early warning prompt is immediately issued. Compared with the existing technology, this solution can predict potential dangerous personnel in advance and issue early warnings, so that risk aggregation management can be carried out more timely and the safety of workers in chemical plants can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a flow chart of a personnel gathering early warning method applied to a chemical plant provided in an embodiment of the present application;

[0052] Figure 2 This is a module schematic diagram of a personnel gathering warning system applied to a chemical plant provided by an embodiment of the present application;

[0053] Figure 3 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application.

[0054] Description of reference numerals: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0055] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0056] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0057] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0058] The following will provide a clear and complete description of the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0059] The implementation background of the technical solution of the embodiment of the present application may be the safety management of a chemical plant. Chemical plants usually involve potential risk factors such as hazardous chemicals, high-temperature equipment, and high-pressure systems. In order to ensure the safe operation of the plant, it is necessary to pay close attention to gatherings of people and risk areas, and take preventive measures in a timely manner.

[0060] Please refer to Figure 1 , a flow chart of a personnel gathering warning method applied to a chemical plant is proposed. The method can be implemented by a computer program, can be implemented by a single-chip microcomputer, or can be run on a personnel gathering warning system applied to a chemical plant. The computer program can be integrated in a computer device, or can be run as an independent tool application. Specifically, the method includes steps 10 to 50, and the above steps are as follows:

[0061] Step 10: Identify multiple risk areas in the chemical plant and the personnel risk thresholds corresponding to each risk area.

[0062] In the embodiment of the present application, the risk area refers to a specific area in a chemical plant or other industrial site where potential hazardous factors exist. These areas may include the following types of areas: hazardous chemical storage areas, high-temperature equipment areas, high-pressure system areas, and high-risk work areas.

[0063] In the embodiment of the present application, the personnel risk threshold refers to a specific value or condition set in the personnel gathering and risk management system of the chemical plant. When the monitoring system detects that the number of personnel corresponding to the risk area exceeds or reaches the threshold, the system will trigger a corresponding warning.

[0064] Specifically, in a chemical plant, different areas have different degrees of potential danger due to differences in production processes and materials used. First, obtain a plan area map of the chemical plant, which includes the location and area information of each functional area in the chemical plant. Then, obtain the historical production data and production type of each area. By analyzing these data, areas with dangerous production types, such as areas using flammable and explosive chemicals, high temperature and high pressure operations, can be identified as risk areas. For the identified risk areas, based on the casualty records and accident records in their historical production data, combined with factors such as the size of the area and the intensity of work, the risk assessment model is used to calculate the personnel risk threshold of each risk area. The higher the risk level, the lower the corresponding personnel risk threshold.

[0065] Based on the above embodiment, as an optional embodiment, the step of determining multiple risk areas of the chemical plant and the personnel risk threshold corresponding to each risk area may further include the following steps:

[0066] Step 101: Obtain a plan area map of a chemical plant, where the plan area map includes multiple areas.

[0067] Specifically, chemical plants are usually composed of multiple functional areas, such as raw material warehouses, reaction workshops, product storage areas, etc., and the degree of danger in different areas varies. Chemical plants can provide existing plan drawings, or redraw the plan through field surveying, drone aerial photography, etc. The plan area map needs to clearly mark the boundaries of each functional area, and reasonably divide and name the area according to the actual use conditions, such as merging multiple chemical storage areas connected into a "East District Tank Area". The obtained plan area map not only contains the plan location distribution of each area, but also needs to record the area size of each area. The area of ​​the area will be used as an important reference indicator for assessing its risk level. The larger the area, the higher the potential risk.

[0068] Step 102: Obtain historical production data and production type of each region.

[0069] Specifically, chemical plants need to collect detailed production data from each area over a period of time (such as 1 year or longer) from production management systems, ledger records and other channels, including the types of products produced, the names and quantities of raw materials used, the process flow used, the operating parameters of production equipment, etc. At the same time, it is also necessary to obtain information on the current production type of each area, such as chemical synthesis, refining and purification, storage and transportation, etc.

[0070] Step 103: The area whose production type is dangerous type is regarded as a risk area.

[0071] Specifically, some production types involve the use of flammable, explosive, corrosive or toxic substances, or require operation under extreme conditions such as high temperature and high pressure, which will pose a potential threat to the safety of operators. Therefore, identifying the areas where these dangerous production types are located as risk areas is an important prerequisite for achieving early warning of personnel gathering in chemical plants. By identifying the type identification of each area and matching it with the preset dangerous type identification, the area matched with the dangerous production type can be regarded as a risk area.

[0072] Step 104: Determine the personnel risk threshold corresponding to each risk area based on historical production data.

[0073] Specifically, from the historical production data of the risk area, information related to personnel safety is extracted, such as accident records and casualties in the past. Secondly, combined with factors such as the size of the area, the density of production facilities, and the working environment conditions, the risk assessment model is used to quantitatively analyze each risk area and calculate its potential hazard level score. For example, the "Eastern District Solvent Storage Tank Area" in a chemical plant covers an area of ​​2,000 square meters, and there have been two leakage accidents in the past five years, resulting in four injuries. According to indicators such as area, accident rate, and degree of casualties, the hazard level score of this area is 75 points (out of 100 points). The "Western District Distillation Workshop" covers an area of ​​1,500 square meters, and there have been three equipment failures and one improper evacuation accident record that resulted in eight people being poisoned in five years, with a hazard level score of up to 90 points. Based on these hazard level scores, and with reference to relevant standards and experience values, a personnel risk threshold that matches the degree of danger is set for each risk area. For example, the personnel risk threshold of the "Eastern District Solvent Storage Tank Area" can be set to 20 people, while that of the "Western District Distillation Workshop" is only 10 people.

[0074] Step 20: Obtain the current number of personnel in each risk area, and determine the target risk area based on the current number of personnel.

[0075] In the embodiment of the present application, the current number of personnel refers to the real-time number of personnel in each risk area in the chemical plant, which can be obtained through an RFID positioning tag or a camera.

[0076] In the embodiment of the present application, the target risk area refers to a specific area or location within a chemical plant, which is considered to have potential risks or safety hazards. These areas may be related to the storage of hazardous chemicals, high-temperature equipment, high-pressure systems, high-risk operations, etc.

[0077] Specifically, chemical plants can use existing access control systems, personnel positioning systems and other facilities to collect data on on-the-job personnel in each risk area in real time. These systems usually record the identity information of each person and the area they are in. You only need to count and summarize the number of people on duty in each risk area to obtain the current number of personnel. For example, a chemical plant found through the personnel positioning system that there are currently 15 people working in the "East District Solvent Storage Tank Area", 8 people in the "West District Distillation Workshop", and 10 people in the "Central District Wastewater Treatment Area". Compare the current number of personnel obtained with the basic personnel thresholds that have been set for each risk area. The basic personnel threshold is a value that refers to the personnel risk threshold and is appropriately lowered. When the actual number of personnel in a certain area exceeds this threshold, it can be listed as a target risk area that needs to be focused on.

[0078] Based on the above embodiment, as an optional embodiment, the step of determining the target risk area based on the current number of personnel may further include the following steps:

[0079] Step 201: Obtain the risk level of each risk area.

[0080] Specifically, for each risk area, chemical plants can comprehensively consider multiple risk factors such as area, complexity of production process, hazardous categories of materials used, historical accident records, etc., use risk assessment models to calculate risk index scores, and classify risk areas according to the score levels. For example, suppose there are three identified risk areas in a chemical plant, namely "East District Solvent Storage Tank Area", "West District Distillation Workshop" and "Central District Wastewater Treatment Area". After evaluation, the "East District Solvent Storage Tank Area" has a large area and stores a large amount of flammable and explosive solvents, but the operation is relatively simple and the historical accident rate is low. The comprehensive risk index is 72 points, which can be rated as risk level II (high risk). Although the "West District Distillation Workshop" has a small area, the process flow is complex, involving high temperature and high pressure operations, and a major poisoning accident has occurred. The comprehensive score is 85 points, and it is rated as risk level I (extra high risk).

[0081] Step 202: Based on the personnel risk threshold and risk level corresponding to each risk area, determine the basic personnel threshold of each risk area, and the basic personnel threshold is less than the personnel risk threshold.

[0082] Specifically, in the personnel gathering warning mechanism of the chemical plant, in order to issue an early warning when the actual number of personnel is close to but has not exceeded the personnel risk threshold, a basic personnel threshold needs to be set for each risk area. The basic personnel threshold is usually slightly lower than the personnel risk threshold, so that once the number of personnel in a certain area is monitored in real time to exceed the basic threshold, the warning can be triggered in time, leaving enough time to take necessary prevention and control measures to avoid further concentration of personnel leading to major safety accidents. In the embodiment of the present application, the basic personnel threshold can be calculated according to the risk level and the risk threshold. For example, all risk areas are sorted from high to low according to the risk level. The risk level consists of level I (extremely high risk), level II (high risk), level III (medium risk) and other levels. For areas with a risk level of level I, the basic personnel threshold can be set to 60%-70% of the personnel risk threshold, and for areas with a risk level of level II, the basic personnel threshold can be set to 70%-80% of the personnel risk threshold, and for areas with a risk level of level III, the basic personnel threshold can be set to 80%-90% of the personnel risk threshold.

[0083] Step 203: Determine the risk area where the current number of personnel is greater than or equal to the corresponding basic personnel threshold as the target risk area.

[0084] Specifically, real-time monitoring and locking in risk areas where the current number of people exceeds the basic threshold as target areas is the basis for personnel flow prediction and risk assessment. Only by focusing on the analysis of personnel flow and aggregation within these target risk areas can potential safety hazards be discovered and prevented in a timely manner.

[0085] Step 30: Determine the neighboring areas of the target risk area and the neighboring persons corresponding to each neighboring area.

[0086] In the embodiment of the present application, the adjacent area refers to an area adjacent to or close to the target risk area, which may have a certain correlation or mutual influence with the target risk area. The adjacent area can be determined based on spatial proximity, functional correlation and risk transmission.

[0087] Specifically, in the personnel gathering warning mechanism of chemical plants, in addition to focusing on the flow of personnel in the target risk area itself, it is also necessary to expand the field of vision to the adjacent areas of the target area, because the personnel in these adjacent areas are very likely to transfer to the target area, exacerbating the degree of personnel gathering in the target area.

[0088] Based on the general layout of the chemical plant, for each identified target risk area, find the areas adjacent to it and identify these areas as adjacent areas of the target area. Next, through the personnel positioning system of the factory, obtain the on-the-job personnel data in each adjacent area in real time as the adjacent personnel data of the area. For example, suppose that at a certain point in time, the "Eastern Solvent Storage Tank Area" is identified as the target risk area. According to the plane layout, the adjacent areas of this area include the "Eastern Operation Room", "Eastern Warehouse Area" and "Transportation Route". Obtain the current real-time on-the-job personnel data of these three adjacent areas respectively, such as 5 people in the "Eastern Operation Room", 3 people in the "Eastern Warehouse Area", and 2 people on the "Transportation Route", and record these data as the adjacent personnel data of the target area "Eastern Solvent Storage Tank Area".

[0089] Step 40: Calculate the aggregated risk value of the neighboring persons corresponding to each neighboring area to the target risk area, and determine the risk persons based on the aggregated risk value.

[0090] In the embodiment of the present application, the aggregation risk value refers to the aggregation risk to the target risk area caused by the number of people who may flow from the neighboring area to the target risk area.

[0091] In the embodiment of the present application, risky persons refer to the persons in the neighboring area whose aggregation risk value exceeds the set threshold. That is to say, if the aggregation risk value of the neighboring persons in a certain neighboring area is very low, far below the threshold, then the neighboring persons in the area are not regarded as risky persons.

[0092] Specifically, in the personnel gathering warning mechanism, although the data of neighboring personnel in each neighboring area is determined, not all neighboring personnel will necessarily flow to the target risk area. Due to differences in regional location and nature of work, the actual flow of personnel in different neighboring areas to the target area may vary greatly.

[0093] First, obtain the work attribute data of each neighboring person from the employee information system, including key information such as the department, job responsibilities, and work-related areas. At the same time, use the personnel positioning system in the park to track and record the historical location coordinate data of these people in the past preset time period (such as the last month). For each neighboring person, input his work attributes and historical location data into the prediction model, and let the model analyze and predict the employee's movement trajectory and destination in the future based on big data algorithms and machine learning technology. When predicting, the model will comprehensively consider the scope of the work area corresponding to the employee's work attributes, combine his past movement patterns and trends, and compare with the current real-time location data to calculate the aggregation risk value to the target risk area in the future, and treat the neighboring personnel whose aggregation risk value is higher than the clustering threshold as risk personnel.

[0094] In another feasible embodiment, the chemical plant can combine the historical personnel flow data accumulated over the years to establish a personnel gathering risk assessment model, and set different personnel flow probability coefficients for each adjacent area according to factors such as the distance from different adjacent areas to the target area and the degree of operation correlation. Taking the "Eastern District Solvent Storage Tank Area" as an example, assuming that the distance from the "Eastern Operation Room" to the target risk area is relatively close and the operations are also highly correlated, a personnel flow probability coefficient of 0.8 is given. The "Eastern Warehouse Area" is far away but the degree of operation correlation is average, so a probability coefficient of 0.3 is given, while the "Transportation Route" is adjacent but the nature of the operations is completely different, so only a probability coefficient of 0.1 is given. Multiplying the real-time number of personnel in each adjacent area by the corresponding probability coefficient can obtain the gathering risk value of the adjacent personnel in the adjacent area to the target area.

[0095] Based on the above embodiment, as an optional embodiment, the step of calculating the aggregated risk value of the neighboring persons corresponding to each neighboring area to the target risk area and determining the risk persons based on the aggregated risk value further includes the following steps:

[0096] Step 401: Determine the work attributes of the neighboring personnel corresponding to each neighboring area and the historical position coordinates of a preset time period.

[0097] Specifically, in order to accurately predict and evaluate the actual risk level of neighboring personnel in the target risk area, different employees will have very different movement trajectories and actual aggregation tendencies in the target area due to differences in their jobs and work areas.

[0098] The work attribute data of each neighboring personnel is exported from the enterprise's employee information management system, including key information such as the department to which they belong, job responsibilities, and main operating areas. At the same time, the real-time personnel positioning system deployed in the chemical park is used to trace all the historical location coordinate data of these personnel in the past preset time period (such as the last month). Taking the "West Operation Room" neighboring area of ​​a chemical park as an example, it is assumed that there are 8 employees in this area, namely A, B, C, D, E, F, G, and H. For example: Employee A, Department: Manufacturing Workshop, Position: Operator, Main Operating Area: West Operation Room, West Synthesis Workshop; Employee B, Department: Maintenance Section, Position: Maintenance Worker, Main Operating Area: The Entire Park. The detailed location trajectories of these 8 people in the past month are obtained through the positioning system, such as Employee A is mostly in the West Operation Room and West Synthesis Workshop, and occasionally appears near the Maintenance Section.

[0099] Step 402: Predict the movement trajectory of each neighboring person based on the historical location coordinates.

[0100] Specifically, it is necessary to take all the historical location coordinate data of each neighboring person in the past period of time (such as one month) and photograph them into an ordered trajectory sequence in chronological order. Perform movement vector analysis on the sequence, calculate the precise movement direction and movement distance between two adjacent location coordinates, and obtain a series of movement vectors. Count the occurrence frequencies of different movement directions and movement distances in these movement vectors. Through frequency analysis, the most common movement modes of each neighboring person in the past period of time can be found. For example, statistics show that employee A often has two high-frequency modes of "moving 50 meters to the east" and "moving 20 meters to the south". Then, the prediction model can assume that in the future, the most likely movement mode of employee A is to flow in the park according to these two modes. Then, a potential location coordinate set consisting of multiple coordinate points is calculated, representing the path that employee A may pass in the future. Finally, these coordinate points are connected in sequence to generate the predicted movement trajectory of employee A in the future.

[0101] Step 403: Determine the aggregate risk value of each neighboring person to the target risk area according to the work attributes and movement trajectory.

[0102] Specifically, according to the predicted movement trajectory, determine whether the trajectory intersects with the target risk area. If there is an intersection, it means that the neighboring personnel is likely to enter the target area, but entering the area does not mean gathering in the area for a long time, so this step is only to obtain a preliminary probability value. The work attribute data of the neighboring personnel is called again, and combined with information such as their department, job responsibilities, and work area scope, the actual purpose and expected stay time of the neighboring personnel entering the target area are evaluated. If it is judged that the neighboring personnel enters the target area only to temporarily perform a certain work task and the stay time is short, then this preliminary probability value will be appropriately reduced. On the contrary, if the daily work area of ​​the neighboring personnel is near the target area and the work time is long, then this probability value will be appropriately increased. Substitute the obtained probability and the distance between each neighboring personnel and the target risk area into the risk value calculation formula to obtain the aggregation risk value of each neighboring personnel to the target risk area.

[0103] The formula for calculating the risk value is:

[0104] R(i)=P(i)*(1-D(i)) / D max ;

[0105] R(i) represents the aggregate risk value of the i-th neighbor to the target area, P(i) represents the probability of the i-th neighbor entering the target risk area, D(i) represents the straight-line distance between the i-th neighbor and the target area, and D max Indicates the preset maximum reference distance.

[0106] Based on the above embodiment, as an optional embodiment, the step of predicting the movement trajectory of each neighboring person based on the historical position coordinates further includes the following steps:

[0107] Step 4021: Arrange the historical position coordinates in chronological order to form a historical trajectory sequence.

[0108] Specifically, the chemical park uses the deployed personnel real-time positioning system to trace and record all historical location coordinate data of all nearby personnel in the past preset time period (such as the last month). These location coordinates are usually stored in the format of (x, y), representing the real-time location of the employee in the plane coordinate system of the park. Taking a neighboring person A as an example, assuming that the system has recorded 1,000 different location coordinate points of employee A in the last month, namely: (x1, y1), (x2, y2), (x3, y3)... (x1000, y1000), and these 1,000 coordinate points are sorted by timestamp. The sorted coordinate sequence forms the complete historical trajectory of employee A in the past month: (x1, y1) -> (x2, y2) -> (x3, y3) -> .... -> (x1000, y1000).

[0109] This ordered historical trajectory sequence reflects all the location changes of employee A in the past month. It includes both static trajectory segments where he stayed in a certain area for a long time and dynamic trajectory segments where he moved quickly between two points. It also includes all the moving direction and distance information.

[0110] Step 4022: Calculate the moving direction and moving distance between two adjacent position coordinates in the historical trajectory sequence.

[0111] Specifically, in order to quantify and model the actual movement pattern of each employee within the park, it is difficult to directly analyze the employee's movement habits based on the original coordinate sequence data. First, convert it into a more manageable movement vector form. Take the historical trajectory sequence of a neighboring person A as an example: (x1, y1) -> (x2, y2) -> (x3, y3) -> ... -> (xn, yn), traverse the sequence, and calculate the movement direction and movement distance for each pair of adjacent position coordinates (xi, yi) and (xi+1, yi+1), and obtain a movement vector: the movement direction direction is the direction angle from (xi, yi) to (xi+1, yi+1), and the movement distance distance is the straight-line distance from (xi, yi) to (xi+1, yi+1). Thus, the complete and ordered movement vector of employee A is obtained: (direction1, distance1), (direction2, distance2).... (directionn-1, distancen-1).

[0112] Step 4023: Count the occurrence frequencies of each moving direction and moving distance.

[0113] Specifically, we traverse all the movement vector sets of employee A and count the occurrence frequencies of all different direction angles and distance values. Taking a neighboring person A as an example, the vector set of all movement within one month is:

[0114] (60°,25 meters), (120°,50 meters), (60°,25 meters), (180°,10 meters)….

[0115] Step 4024: Based on the most frequently occurring moving directions and moving distances, predict the location coordinate sets of each neighboring person.

[0116] Specifically, the moving directions and moving distances with the highest frequency of each neighboring person are screened out. Assuming that the current real-time position coordinates of person A are (x0, y0), there are two moving directions and moving distances with the highest frequency of occurrence, (1) direction 60°, distance 25 meters, (2) direction 120°, distance 50 meters. Taking the real-time coordinates (x0, y0) of employee A as the starting point, the coordinate point (x1, y1) to which employee A is most likely to move next is calculated according to the first high-frequency mode (60°, 25 meters). Taking (x1, y1) as the new starting point, the next possible coordinate point (x2, y2) is calculated according to the second high-frequency mode (120°, 50 meters). Repeat the above process, continuously taking the end point of the previous step as the new starting point, and alternately calculating according to the two high-frequency modes until a preset number of coordinate points or time length is calculated. Finally, a coordinate set consisting of multiple coordinate points can be obtained, representing the locations of these areas in the park where employee A is most likely to appear in the future.

[0117] Step 4025: Connect the position coordinates in the position coordinate set to obtain the movement trajectory.

[0118] Specifically, the coordinate set is traversed, and each pair of adjacent coordinates (xi, yi) and (xi+1, yi+1) are connected by straight line segments in the order of appearance, and finally a moving trajectory composed of multiple line segments is formed.

[0119] Step 50: When the sum of the number of risk personnel and the current number of personnel is greater than the personnel risk threshold corresponding to the target risk area, an early warning prompt is issued.

[0120] Specifically, the number of risk personnel whose movement trajectories intersect or are close to the target risk area is recorded as N1. At the same time, the system will also obtain the current number of personnel N2 in the target risk area in real time. Add N1 and N2 to calculate the total number of risk personnel N, and compare it with the pre-set personnel risk threshold M to obtain a percentage exceeding the threshold P = N / M*100%. The size of this percentage P determines what level of early warning response the prediction system should initiate at this time. Specifically: if P is less than 30%, it means that the current gathering risk is relatively low, and the system will issue a mild early warning, taking gentle methods such as sound and light alarms to remind employees to pay attention to safety; if 30% <= P < 70%, it means that the gathering risk is at a medium level, and the system will issue a moderate early warning. In addition to sound and light alarms, it will also notify relevant personnel through text messages and other methods; if P>=70%, it means that the gathering risk has reached a high level, and the system will issue a severe early warning, which will not only activate sound and light alarms and text message notifications, but also call on all non-critical personnel to evacuate the target risk area immediately through emergency broadcasts. Regardless of the warning level, the system will recommend one or more evacuation routes for employees based on their real-time location, guiding them to evacuate in an orderly manner to avoid more serious safety accidents. These evacuation routes will give priority to the channels that are closest and have lower risks.

[0121] See also Figure 2 , is a module diagram of a personnel gathering warning system applied to a chemical plant provided in an embodiment of the present application. The personnel gathering warning system applied to a chemical plant may include: a personnel threshold determination module, a risk area determination module, a neighboring information determination module, a neighboring risk calculation module, and a warning prompt sending module, wherein:

[0122] A personnel threshold determination module, used to determine multiple risk areas of a chemical plant and personnel risk thresholds corresponding to each of the risk areas;

[0123] A risk area determination module, used to obtain the current number of personnel in each risk area, and determine a target risk area based on the current number of personnel;

[0124] A neighboring information determination module is used to determine neighboring areas of a target risk area and neighboring persons corresponding to each of the neighboring areas;

[0125] A neighboring risk calculation module, used to calculate the aggregated risk value of the neighboring persons corresponding to each of the neighboring areas to the target risk area, and determine the risk persons based on the aggregated risk value;

[0126] The early warning prompt sending module is used to issue an early warning prompt when the sum of the number of risk personnel and the current number of personnel is greater than the personnel risk threshold corresponding to the target risk area.

[0127] Optionally, the personnel threshold determination module is also used to obtain a plan area map of the chemical plant, the plan area map including multiple areas; obtain historical production data and production types for each of the areas; treat areas where the production type is a dangerous type as risk areas; and determine the personnel risk threshold corresponding to each of the risk areas based on the historical production data.

[0128] Optionally, the risk area determination module is also used to obtain the risk level of each of the risk areas; determine the basic personnel threshold of each of the risk areas based on the personnel risk threshold and risk level corresponding to each of the risk areas, and the basic personnel threshold is less than the personnel risk threshold; and determine the risk area where the current number of personnel is greater than or equal to the corresponding basic personnel threshold as the target risk area.

[0129] Optionally, the neighboring risk calculation module is also used to determine the work attributes of the neighboring personnel corresponding to each of the neighboring areas and the historical location coordinates of a preset time period; predict the movement trajectory of each of the neighboring personnel based on the historical location coordinates; and determine the aggregation risk value of each of the neighboring personnel to the target risk area based on the work attributes and the movement trajectory.

[0130] Optionally, the neighboring risk calculation module is also used to determine the probability of each of the neighboring persons entering the target risk area based on the work attributes and the movement trajectory; and determine the aggregated risk value of each of the neighboring persons to the target risk area based on the probability and the distance between each of the neighboring persons and the target risk area.

[0131] Optionally, the neighboring risk calculation module is also used to arrange the historical position coordinates in chronological order to form a historical trajectory sequence; calculate the moving direction and moving distance between two adjacent position coordinates in the historical trajectory sequence; count the occurrence frequency of each moving direction and moving distance; based on the moving direction and moving distance with the highest frequency, predict the position coordinate set of each of the neighboring persons; and connect the position coordinates in the position coordinate set to obtain a movement trajectory.

[0132] Optionally, the early warning sending module is also used to calculate the percentage of the sum of the number of risk personnel and the current number of personnel exceeding the personnel risk threshold; determine the early warning level according to the percentage, and the early warning level includes mild warning, moderate warning and severe warning; determine the corresponding early warning method according to the early warning level, and the early warning method includes sound and light alarm, SMS notification and emergency broadcast; issue an early warning prompt to the target risk area according to the early warning method, and the early warning prompt includes the current warning level and recommended evacuation route.

[0133] It should be noted that: when the system provided in the above embodiment realizes its functions, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0134] An embodiment of the present application also provides a computer storage medium, which can store multiple instructions. The instructions are suitable for being loaded by a processor and executing a personnel gathering warning method applied to a chemical plant in the above embodiment. The specific execution process can be found in the specific description of the above embodiment, which will not be repeated here.

[0135] Please refer to Figure 3 The application also discloses an electronic device. Figure 3 The electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0136] The communication bus 302 is used to realize the connection and communication between these components.

[0137] The user interface 303 may include a display screen (Display) and a camera (Camera). The optional user interface 303 may also include a standard wired interface and a wireless interface.

[0138] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0139] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0140] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may optionally also be at least one storage device located away from the aforementioned processor 301. Refer to Figure 3 , the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module and an application program for a personnel gathering early warning method applied to a chemical plant.

[0141] exist Figure 3In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 301 can be used to call the memory 305 to store an application program for a personnel gathering early warning method applied to a chemical plant, and when executed by one or more processors 301, the electronic device 300 executes one or more of the methods described in the above embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0142] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0143] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0144] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0145] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0146] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0147] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0148] This application is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art not described in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A personnel gathering early warning method applied to a chemical plant, characterized in that: include: Determine multiple risk areas of the chemical plant and personnel risk thresholds corresponding to each of the risk areas; Acquire the current number of personnel in each of the risk areas, and determine the target risk area based on the current number of personnel in each of the risk areas; Determine the neighboring areas of the target risk area, and the neighboring persons corresponding to each of the neighboring areas; Calculating the aggregated risk value of the neighboring persons corresponding to each of the neighboring areas to the target risk area, and determining the risk persons based on the aggregated risk value; The step of calculating the aggregation risk value of the neighboring persons corresponding to each of the neighboring areas to the target risk area includes: Determine the work attributes of the neighboring personnel corresponding to each of the neighboring areas and the historical location coordinates of a preset time period; Predicting the movement trajectory of each of the neighboring persons based on the historical position coordinates; Determining the probability of each of the adjacent persons entering the target risk area according to the work attributes and the movement trajectory; Determine, based on the probability and the distance between each of the neighboring persons and the target risk area, an aggregated risk value of each of the neighboring persons to the target risk area; When the sum of the number of risk personnel and the current number of personnel is greater than the personnel risk threshold corresponding to the target risk area, an early warning prompt is issued.

2. A personnel gathering early warning method applied to a chemical plant according to claim 1, characterized in that: The determining of multiple risk areas of the chemical plant and the personnel risk thresholds corresponding to each of the risk areas includes: Acquire a plan area map of the chemical plant, wherein the plan area map includes a plurality of areas; Obtaining historical production data and production types for each of the said regions; The area where the production type is dangerous is regarded as a risk area; A personnel risk threshold corresponding to each of the risk areas is determined based on the historical production data.

3. The personnel gathering early warning method applied to a chemical plant according to claim 1 is characterized in that: The determining of the target risk area based on the current number of personnel includes: Obtaining the risk level of each of the risk areas; Determine a basic personnel threshold for each risk area based on the personnel risk threshold and risk level corresponding to each risk area, wherein the basic personnel threshold is less than the personnel risk threshold; The risk area where the current number of personnel is greater than or equal to the corresponding basic personnel threshold is determined as the target risk area.

4. The personnel gathering early warning method applied to a chemical plant according to claim 1 is characterized in that: The predicting of the movement trajectory of each of the neighboring persons based on the historical position coordinates includes: Arranging the historical position coordinates in chronological order to form a historical trajectory sequence; Calculating the moving direction and moving distance between two adjacent position coordinates in the historical trajectory sequence; Count the frequency of each moving direction and moving distance; Predicting a set of position coordinates of each of the neighboring persons based on the moving direction and moving distance that appear most frequently; The position coordinates in the position coordinate set are connected to obtain a movement trajectory.

5. The personnel gathering early warning method applied to a chemical plant according to claim 1 is characterized in that: When the sum of the number of risk personnel and the current number of personnel is greater than the personnel risk threshold corresponding to the target risk area, issuing a warning prompt includes: Calculate the percentage by which the sum of the number of risk personnel and the current number of personnel exceeds the personnel risk threshold; Determine a warning level according to the percentage, wherein the warning level includes a mild warning, a moderate warning, and a severe warning; Determine a corresponding warning method according to the warning level, the warning method including sound and light alarm, SMS notification and emergency broadcast; An early warning prompt is issued to the target risk area according to the early warning method, and the early warning prompt includes a current warning level and a recommended evacuation route.

6. A personnel gathering early warning system applied to a chemical plant, characterized in that: The system comprises: A personnel threshold determination module, used to determine multiple risk areas of a chemical plant and personnel risk thresholds corresponding to each of the risk areas; A risk area determination module, used to obtain the current number of personnel in each risk area, and determine a target risk area based on the current number of personnel; A neighboring information determination module is used to determine neighboring areas of a target risk area and neighboring persons corresponding to each of the neighboring areas; A neighboring risk calculation module is used to calculate the aggregation risk value of the neighboring personnel corresponding to each of the neighboring areas to the target risk area, and determine the risk personnel based on the aggregation risk value; wherein, the calculation of the aggregation risk value of the neighboring personnel corresponding to each of the neighboring areas to the target risk area includes: determining the work attributes of the neighboring personnel corresponding to each of the neighboring areas and the historical position coordinates of a preset time period; predicting the movement trajectory of each of the neighboring personnel based on the historical position coordinates; Determining the probability of each of the adjacent persons entering the target risk area according to the work attributes and the movement trajectory; Determine, based on the probability and the distance between each of the neighboring persons and the target risk area, an aggregated risk value of each of the neighboring persons to the target risk area; The early warning prompt sending module is used to issue an early warning prompt when the sum of the number of risk personnel and the current number of personnel is greater than the personnel risk threshold corresponding to the target risk area.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the method according to any one of claims 1 to 5.

8. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method as described in any one of claims 1-5.

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