CN111861198A - Extraction and analysis method for propagation process of unsafe behaviors of mine team workers - Google Patents
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Abstract
The invention provides a mine team worker unsafe behavior propagation process extraction and analysis method, which comprises a technology for realizing the propagation warning of the unsafe behavior group of the mine team workers based on an Agent modeling and simulation method (AMBS), and comprises the following steps: 1. establishing an information processing process model for emerging and spreading unsafe behaviors of workers; 2. extracting and depicting system elements such as a main body, a structure, an internal communication connection mode and the like of a team group system, and constructing an unsafe behavior propagation process conceptual model; 3. designing a worker main Agent model; 4. designing a worker unsafe behavior propagation decision mechanism based on a cognitive process; 5. and (5) simulation implementation. On the basis of fully describing the system elements in the team operation process, the dynamic propagation evolution process of unsafe behaviors of workers is dynamically presented, so that the safety production process of the workers is warned, and a basis is provided for safety management decisions.
Description
Technical Field
The invention relates to the field of computer software, in particular to a mine team worker unsafe behavior propagation process extraction and analysis method.
Background
The statistical data and related research aiming at the causes of coal mine safety production accidents show that unsafe behaviors of workers in the operation process are main factors causing coal mine accidents. As a group operation, the propagation of unsafe behaviors among workers in a team further expands the sources of the unsafe behaviors, increases the probability of the occurrence of the unsafe behaviors and enhances the vitality of the unsafe behaviors. Therefore, it is necessary to research the propagation process of unsafe behaviors of team workers, describe and reveal the problem of macroscopic phenomena of propagation of unsafe behaviors from the overall perspective of the system, block the propagation of unsafe behaviors, improve the propagation effect of the safe behaviors, and reduce the occurrence of the unsafe behaviors, thereby reducing the risks and hidden dangers of safe production and reducing the probability of occurrence of safety accidents.
The development process of the system and each element in the system is a process from low level to high level and from micro level to macro level, so that aiming at a coal mine production system, the propagation of unsafe behaviors of coal mine workers is necessarily explored from the micro level, the interaction relation between the workers and the environment is fully emphasized and analyzed, and the basis and the condition for the propagation of the unsafe behaviors are provided, so that the presented unsafe propagation process is more consistent with the emerging rule of system evolution development. From the perspective of individual microcosmic workers, by extracting and depicting the microcosmic workers, the interaction relationship among individuals and the interaction between the individuals and the environment, the problem of describing and disclosing the macro phenomenon of propagation of unsafe behaviors is further solved from the perspective of overall system emergence, but the prior art does not have a corresponding complete data analysis method for extraction and analysis of the behaviors of the workers in complex environments such as mines and the like, so that the technical problem of solving the corresponding technical problem needs to be solved by technical personnel in the field.
Disclosure of Invention
The invention aims to at least solve the technical problems in the prior art, and particularly creatively provides a method for extracting and analyzing the propagation process of unsafe behaviors of mine team workers.
In order to achieve the above purpose, the invention provides a mine team worker unsafe behavior propagation process extraction and analysis method, which comprises the following steps:
s1, acquiring unsafe behavior data of workers in a mine, and establishing an information processing process model for emergence and propagation of unsafe behaviors of the workers;
s2, after the model training of the processing process, establishing a team group system for unsafe behaviors of workers, and extracting and depicting major, structure and internal communication mode elements of the team group system;
s3, after extraction and depiction are completed, constructing an unsafe behavior propagation process conceptual model;
s4, after the completion process conceptual model is established, processing and designing a main Agent model of a worker;
s5, establishing an unsafe behavior propagation decision mechanism of the worker according to the cognitive process by using the formed unsafe behavior propagation process conceptual model and the worker main Agent model;
and S6, verifying operation is carried out according to the established worker unsafe behavior propagation decision mechanism, and correction is carried out according to dynamic propagation evolution of worker unsafe behaviors.
Preferably, the S1 includes:
s1-1, collecting unsafe behaviors of workers through mine image collecting equipment, receiving actual working scene information in a mine through sensing the external environment of the mine, and defining an unsafe behavior model in the actual working scene information of the mine;
s1-2, extracting unsafe behaviors of workers through mine image acquisition equipment according to the unsafe behavior model, and mapping information of actual mine working scene information and corresponding time point extraction unsafe behaviors of the workers;
s1-3, according to the mapped unsafe behavior information of the worker, the worker unsafe behavior is cognized and processed, the cognition processing process is completed according to the understanding cognition of the unsafe behavior of the worker in the machine learning and the mapped unsafe behavior information of the worker,
s1-4, after collecting, copying and evolving unsafe behaviors of workers, properly selecting the unsafe behaviors of the workers and debugging a data set of the unsafe behaviors of the workers; thereby forming an information processing process model.
Preferably, the S2 includes:
s2-1, after training of the information processing process model formed in the S1, the unsafe behaviors of workers are extracted into executive behaviors of team leaders and executive behaviors of workers;
S2-2, the team leader executes the behaviors, namely, a team leader execution leader unsafe behavior library, a work task allocation unsafe behavior library, a supervision and management unsafe behavior library and a coordination and control unsafe behavior library are formed;
s2-3, the worker execution behavior forms a worker execution service unsafe behavior library, an operation technology unsafe behavior library and a demonstration operation unsafe behavior library;
preferably, the S3 includes:
s3-1, determining set communication rules and interactive connection situations of interaction between the main Agent of the worker and the external environment and other main agents of the worker in the mine operation process;
s3-2, establishing worker main Agent behavior rules and a knowledge base;
s3-3, constructing an unsafe behavior propagation process conceptual model, defining unsafe behaviors propagated by unsafe behaviors of workers, so as to depict differences between executive behaviors of team leaders and executive behaviors of workers in mines, and conceptually defining differentiated and homogenized executive behaviors of team leaders and executive behaviors of workers.
Preferably, the S4 includes:
and S4-1, after rules and a knowledge base are defined for the behavior of the main Agent of the worker, internal factors are generated for the internal attributes of the main Agent of the worker, namely the unsafe behavior of the worker, and psychological factors influencing the decision of the unsafe behavior of the worker, wherein the psychological factors comprise two factors of a psychological process and personality. From the action initiative, the personnel individuality of the content including personality traits, personality literacy and the like is divided into an active type and a passive type; the safety behavior willingness is used as an intermediate variable for reflecting worker main body group psychological factor data and worker main body individual psychological factor data influencing worker unsafe behavior decision-making, so that the classification degree of unsafe behaviors of workers is fed back, and the degree of significance is extracted;
S4-2, leading in external attributes of a main Agent of a worker, namely attributes of the worker as a social person in an organization, and information factors of roles in mine work, situations in a mine and occupations in the work of the worker, wherein the social attributes of the main Agent of the worker comprise position grades and salary grades, in a mine production team, the position grades of the worker are positively correlated with danger grades of unsafe behaviors along with the rise of the positions, and the salary grades are positively correlated with the position grades;
s4-3, the Agent knowledge attribute of the worker is a special quality possessed by the worker, is an important index for the worker to investigate propagation of unsafe behaviors, is an information resource for the worker to exchange information and energy with the external environment, and describes the behavior knowledge standardization degree possessed by the worker in the operation process by the worker unsafe behavior quantization function;
s4-4, aiming at the three aspects of the objective environment of the operation process of the Agent of the main body worker, including the working environment, the organization environment and the system environment; the working environment is a combination of all enterprise facts with normative or non-normative functions of guiding and influencing the underground behaviors of workers, and comprises working responsibility and specification, superior indication and interaction among workers and friends, and also comprises a physical working environment which is a physical environment condition directly influencing the working behaviors, such as the size, illumination, ventilation, noise and the like of an underground working field; the organization environment is mainly embodied in the aspects of organization structure design, salary level system, incentive mechanism, employee engagement mechanism and the like of enterprises; the system environment is a series of documents with compendium meaning, which are made around the development and corresponding mission of enterprises, and related national regulations and regulations including safety production management system, enterprise safety culture and operation regulations, and including the modeling and appeal of enterprise managers to employees.
Preferably, the S5 includes:
s5-1, an unsafe behavior decision mechanism for workers: in the action decision process, the worker considers the benefit and the evaded risk of the action selected finally, and the action decision process of the worker is described by applying a foreground theory based on the cognitive information processing process of the worker, wherein the risk decision process is divided into two processes, namely editing and evaluating. In the editing stage of risk evaluation, the individual members of workers acquire and process information by means of reference points, and in the evaluation stage, the information is judged mainly by means of two methods, namely a cost function and a weight function of subjective probability;
s5-2, establishing a worker unsafe behavior value function: in the mine operation process, the simulation or the reproduction behavior propagation of workers to the unsafe behaviors of workers and friends takes the unsafe behaviors of workers and friends as decision reference points and sets a value function taking the unsafe behaviors of workers and friends as reference points.
S5-3, establishing a worker unsafe behavior weight function: and designing a weight function of worker behavior decision according to the foreground theoretical decision model, representing the probability measurement of each expected result and the change influence of each expected result on the total utility.
S5-4, establishing an expected utility function of unsafe behaviors of workers: the preferences of workers with different individual psychology on the expected utility are different, so the preference coefficient of an individual needs to be designed; for workers with active personality psychology, the preference of the salary grade and the position grade is greater than the influence of the behavior demonstration effect of the workers, and for workers with passive personality psychology, the preference influence of the salary grade and the position grade is less than the influence of the behavior demonstration effect of the workers during the operation process. In addition, the judgment of the occurrence probability of the expected utility result by the worker is influenced by the situation factors, and the expected utility and the occurrence probability function thereof are determined according to the content and the influence of the situation factors of the coal mine enterprises and the marginal incremental relationship effect of the expected income and the grade. Accordingly, an expected utility function is set for a particular worker to evaluate the value of an expected target. When the effectiveness of the operation behaviors of the workers is smaller than the effectiveness of the behaviors achieved by the referenced workers, the workers are regarded as the loss of the operation behaviors of the workers, and then corresponding loss effectiveness functions are obtained;
s5-5, worker unsafe behavior propagation decision function: obtaining a worker unsafe behavior propagation decision mechanism through S5-1 to S5-4, and judging worker unsafe behavior data collected in real time by worker unsafe behavior data prestored in mine image collecting equipment when the extracted absolute value of the expected utility of the worker unsafe behavior is greater than the absolute value of the lost utility of the worker unsafe behavior; and if the actions are not matched to be the same, continuing to perform the mine operation, and otherwise, refusing to adopt the unsafe action.
Preferably, the S6 includes:
s6-1, constructing a main behavior model of unsafe behaviors of workers, an environment model of unsafe behaviors of workers and an interaction model of unsafe behaviors of workers according to pre-stored working behavior data of executive behaviors of group leaders in mines and worker executive behaviors and working behavior data collected in real time;
s6-2, establishing a simulation technical scheme of dynamic change target variables of unsafe behaviors of workers, team scale, intelligent agent parameter values and result output modes;
s6-3, adopting an early-stage designed worker unsafe behavior propagation decision mechanism and model parameters for worker unsafe behaviors; the worker unsafe behavior environment model is mainly based on information sources of a worker operation process in a mine, and the interaction model is designed according to established communication rules and interaction connection situations of interaction between a worker main Agent and an external environment and other agents;
and S6-4, continuously collecting and updating data sets of unsafe behaviors of mine workers through the cloud server, updating data sets of unsafe behaviors of local workers, finishing decisions of the unsafe behaviors of the mine workers in real time through continuous training and updating, and correcting dynamic propagation evolution of the unsafe behaviors of the workers.
Preferably, the conceptual model of the unsafe behavior propagation process constructed in S3-3 includes:
S-A, judging whether unsafe behaviors of workers to be identified exist in prestored unsafe behaviors of the workers, and if yes, determining that the unsafe behaviors of the workers to be identified exist; otherwise, the unsafe behavior of the worker does not exist, the cluster analysis posterior probability method is used for self-learning the unsafe behavior of the worker in the mine to obtain the expected value of the unsafe behavior,
calculating the posterior probability of unsafe behaviors of workers by using a Bayesian formula:
in which the hidden variable f is used as a basisxThe number of example categories forming unsafe behavior for a worker is dxY, where the subscript x is the category of worker unsafe behavior, y is the number of worker unsafe behaviors obtained, T (d)xY; E) number of classes d for unsafe behavior of workersxMarking the space distribution proportion occupied by y by calculating a parameter E; wherein K and psi are respectively the judgment parameter of unsafe behavior of workers and the adjustment parameter of probability analysis, and a process function T (f) is calculatedx|dxY, K, Ψ), s is a positive integer, and the process function is spatially distributed in the unsafe behavior of the worker, and is calculated by a hybrid model 
After calculation, the spatial distribution of the calculated ratio and the process function in the unsafe behavior of the worker is carried out to obtain the posterior probability of the unsafe behavior,
forming initial clustering centers of unsafe behaviors of workers through posterior probability calculation, sequentially treating the unsafe behaviors of the clustered workers by taking each initial clustering center as a starting point, and calculating the similarity of the unsafe behaviors of the workers:
setting worker unsafe behavior clustering sample LsThe rejection threshold value of (2): r (L)s) Then the clustering algorithm is:
wherein, Fmax(Ls,Ni) For clustering samples LsAnd behavior criterion NiMaximum sample reference function of, W (L)s) For clustering samples LsPartial derivatives of (A), U is a weight variable, C (L)s,Ni) Is a reference function of a benchmark and then multiplied by the number of persons implementing unsafe behaviors PsRatio to total number of mine workers P
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
the coal mine worker unsafe behavior group propagation process model constructed based on the ABMS fully pays attention to the characteristics of microscopic individuals of the system, interaction among the individuals and interaction between the individuals and the environment, simultaneously fully considers the cognitive mechanism of unsafe behavior propagation, and dynamically and visually shows the macroscopic phenomenon of worker unsafe behavior propagation in a downhole team; by adjusting the model parameter variables, the model simulation result can reveal the action mechanism of main factors such as individual workers, external environment and the like on propagation of unsafe behavior groups, and accordingly, feasible unsafe behavior intervention paths and strategies are formulated, diffusion and evolution development of unsafe behaviors in the groups are prevented, and further unsafe behaviors in the production process can be reduced.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a model of an information processing process for the emergence and dissemination of unsafe behavior of mine team workers, according to the present invention;
FIG. 2 is a conceptual model of the process of propagation of unsafe behavior of mine team workers according to the present invention;
FIG. 3 illustrates the Agent model parameters of the worker Agent of the present invention;
FIG. 4 is a mine worker unsafe behavior propagation process simulation framework of the present invention;
fig. 5 is an overall flow chart of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
The purpose of the invention is as follows: the modeling and simulation method and the technology for the propagation process of the unsafe behaviors are provided, the macroscopic phenomenon of the emergence propagation of the unsafe behaviors in the team system is described and displayed from the overall perspective of the system, the dynamic and visual supervision and control on the propagation process of the unsafe behaviors are realized, and the propagation of the unsafe behaviors in the operation process of team groups is restrained.
The purpose of the invention is realized by the following technical scheme: on the basis of establishing an information processing process model of the emergent propagation of unsafe behaviors of workers, establishing an unsafe behavior propagation process model by describing system elements such as interaction relation between main workers (agents), interaction between workers and the environment, unsafe behavior propagation decision of the main workers and the like by adopting an ABMS modeling technology and a method; based on the analog software platform, the propagation and emergence phenomenon of unsafe behaviors of workers under different external environment conditions and different individual attribute states is designed and simulated by controlling model variables. The method comprises the following specific steps:
establishing an information processing process model of the emergence and propagation of the unsafe behaviors of workers, and describing a cognitive process of the emergence and propagation of the unsafe behaviors of workers according to information processing related theories and propaganda related theories, wherein the model comprises three parts, namely external information receiving, behavior decision making and initial behavior adjustment;
constructing an unsafe behavior propagation process conceptual model, identifying characteristics of a main body, a structure, an internal communication connection mode and the like of a coal mine class group system, extracting system elements and describing the system elements;
designing a worker main Agent model, wherein the worker main Agent model comprises the steps of designing individual factors and objective environment parameters of workers, the individual factors are divided into psychological factors and individual attributes, and the objective environment is set according to enterprise situation factors and group factors;
Designing an unsafe behavior propagation decision mechanism of workers, and describing a behavior decision process mechanism of the workers by applying a foreground theory, wherein the behavior decision process mechanism comprises two processes of editing and evaluating;
and (3) realizing simulation, setting attribute and variable parameters based on an analog software platform, dynamically adjusting model variables to show the propagation and emergence phenomena of unsafe behaviors through cognitive propagation of the unsafe behaviors under different worker attributes and objective environments, and identifying main influence factors of the propagation process of the unsafe behaviors.
1. Establishing an information processing process model for spreading unsafe behaviors of workers
Fig. 1 is an information processing process model for spreading the emergence of unsafe behaviors of mine team workers, which is established by the invention, and describes a cognitive process of spreading the emergence of unsafe behaviors of workers according to information processing related theory and related theory of propaganda, wherein the cognitive process comprises three main parts, namely external information receiving, behavior decision process and initial behavior adjustment, and the specific implementation steps are as follows:
(1) receiving external information: the receiving of the unsafe behavior information is realized through formal or informal communication connection which is continuously carried out among the unsafe behavior information. The communication connection mode between workers and team leaders is as follows: the team leader issues operation instructions, allocates tasks and supervises and manages the operation process; the worker feeds back problems or unsafe behaviors in the operation process to the team leader in time; the team leader coordinates the problems of the worker's operation progress, operation handover, operation dispute, etc. Communication connection mode between workers: cooperation and help of workers in the working process of the same flow or procedure; handing over workers and workers in the next process; and advices for workers with strong technical and professional abilities on the operation behaviors of workers.
(2) And (3) behavior decision process: firstly, workers finish the identification and confirmation of the information according to the existing knowledge and experience, so that the received information is deeply interpreted and understood. Then, in combination with the self-demand, the thinking of how to react to the information to take countermeasures needs to refer to other external relevant information, and the information comprises relevant information provided by workers, environments, managers and the like; accordingly, the worker will select a corresponding behavior based on his own motivation and job requirements. When the unsafe behaviors provided by the workers can meet the requirements of completing the operation and can obtain greater benefits than those brought by the safe operation, the workers neglect the defects of executing the unsafe behaviors, choose to copy or simulate the unsafe behaviors of workers and friends, and abandon the execution of the safe behaviors.
(3) Initial behavior debugging: and after the behavior decision, the worker chooses to accept unsafe behaviors of workers and friends, and adapts the original operation behaviors, including copying, simulating the unsafe behaviors and evolving to develop new unsafe behaviors. The duplication is a mode of mechanically carrying the original operation behavior; the imitation is to imitate the unsafe behavior of others and improve according to the characteristics of the imitation; the evolution and development of unsafe behaviors is to evolve a new unsafe behavior by combining the requirements and characteristics of the behavior.
2. Extracting and depicting system elements such as main body, structure, internal communication connection mode and the like of team group system
Fig. 2 is a conceptual model of the propagation process of unsafe behaviors of mine team workers constructed by the invention, which describes a dynamic development process of propagation evolution of unsafe behaviors, and the concrete implementation steps are as follows:
(1) the members (Agent types), external environments and internal structures of the underground team work system are identified.
The member types of the team system comprise a team leader and workers, the team leader plays a role of a manager, performs functions of leadership, distribution, supervision and coordination, supervises and checks the operation process, and the workers mainly play a role of executors and play roles of self business, technology, demonstration and the like.
The external environment acts as a trigger factor affecting the behavior of a person, inducing the generation of behavior by affecting the psychological and cognitive processes of the person. The external factors in the operation process are mainly enterprise situations where workers are located, including all enterprise environments related to the operation of the workers, and are reflected in three aspects of working environment, organization environment and institutional environment, and the mutual influence of the workers in the environment is classified as group factors.
The internal structure is as follows: the existing underground team work structure is divergent, an organization management form from top to bottom is adopted inside, a team is connected with the upper-level operation tasks and operation requirements in a long time and then distributed downwards, the team members individually complete a set target, workers keep information communication and feedback with the team leader all the time, and the workers cooperate and communicate with each other in the operation process.
(2) And determining a set communication rule and an interaction connection situation of the interaction between the main Agent of the worker and the external environment and other agents in the process of downhole operation.
The communication means between the worker's bodies is in the form of one-to-one, one-to-many, many-to-one, or many-to-many. The communication process of the propagation of the unsafe behaviors takes the information of the unsafe behaviors suggested or suggested by workers as an initial stage, then the assimilation and the compliance of the information are carried out, two cognitive structure changing modes for adopting the unsafe behaviors are taken, and finally, a self-adaptation stage is carried out, and the workers adapt the original operation behavior attitude and the handling will.
Communication connection situations between workers and team leaders: the team leader issues operation instructions, allocates tasks and supervises and manages the operation process; the worker feeds back problems or unsafe behaviors in the operation process to the team leader in time; the team leader coordinates the problems of the worker's operation progress, operation handover, operation dispute, etc. Communication connection mode between workers: cooperation and help of workers in the working process of the same flow or procedure; handing over workers and workers in the next process; and advices for workers with strong technical and professional abilities on the operation behaviors of workers.
(3) Establishing a worker main Agent behavior rule and a knowledge base; the underground operation behavior of workers takes related coal mine safety production regulations such as coal mine safety regulations, coal mine safety operation regulations, post responsibilities and the like as behavior criteria, and the knowledge base comprises professional knowledge, safety knowledge, technical skills, working experience and the like of each underground post.
(4) The information processing process of the unsafe behavior spread by the workers is determined, and the description is carried out according to the information processing process model of the emergent spread of the unsafe behavior of the workers shown in the figure 1.
3. Main Agent model for designing worker
According to an action formula provided by Kurt Lewis, main influence factors of the unsafe behavior propagation process of workers are identified from two aspects of the individuals of the workers and the external environment, the worker main Agent model parameters shown in figure 3 are designed, the main Agent model is defined according to the parameters, subjective factors of the workers are mainly divided into three types of intrinsic attributes, extrinsic attributes and knowledge attributes in the setting of the model, objective environment is set according to enterprise situation factors and group factors, and the influence of the group factors is mainly reflected in the interaction process among the workers.
(1) The intrinsic attributes are intrinsic factors generated by the working behaviors of the workers, and are psychological factors capable of influencing the behavior decision of the workers, including both psychological processes and personal factors. From the action initiative, the personnel individuality of the content including personality traits, personality literacy and the like is divided into an active type and a passive type; the safety behavior willingness is used as an intermediate variable for reflecting the psychological process and the individual psychology of a worker body influencing the behavior decision in the operation process and reflecting the psychological appeal degree of the worker making the safety behavior.
(2) The external attribute refers to an attribute which a worker has in an organization as a social person, and is related to the role played by the worker, the situation, the interpersonal relationship and the like. The social attributes mainly comprise position grades and salary levels, and in a coal mine production team, the positions of workers are mainly divided into three levels: ordinary workers, technicians and supervisor technicians have positive correlation between corresponding salary levels and job level.
(3) The knowledge attribute is a characteristic possessed by the staff, is an important index for the worker to investigate propagation of unsafe behaviors, is an information resource for the worker to exchange information and energy with the external environment, and describes the knowledge level possessed by the worker in the operation process by adopting a knowledge level quantization function proposed by Fang.
(4) The objective environment of the worker in the working process is mainly an enterprise situation and comprises three aspects of a working environment, an organization environment and a system environment. The working environment is a combination of all enterprise facts with normative or non-normative functions of guiding and influencing the underground behaviors of workers, and comprises working responsibility, standardization, superior indication, interaction among workers and friends and the like, and also comprises a physical working environment which is a physical environment condition directly influencing the working behaviors, such as the size, illumination, ventilation, noise and the like of an underground working field; the organization environment is mainly embodied in the aspects of organization structure design, salary level system, incentive mechanism, employee engagement mechanism and the like of enterprises; the system environment is a series of documents with compendium meaning, which are made around the development and corresponding mission of enterprises, and related national regulations and regulations including safety production management system, enterprise safety culture, operation regulations and the like, and including the modeling and appeal of enterprise managers to employees.
4. Worker unsafe behavior propagation decision mechanism design based on cognitive process
A behavior decision model: in the action decision process, the worker considers the benefit and the evaded risk of the action selected finally, and the action decision process of the worker is described by applying a foreground theory based on the cognitive information processing process of the worker, wherein the risk decision process is divided into two processes, namely editing and evaluating. In the editing stage of risk evaluation, the individual members of workers acquire and process information by means of reference points, and in the evaluation stage, the information is judged mainly by means of two parameters, namely a cost function and a weight function of subjective probability.
A cost function: in the operation process, the propagation of behaviors such as simulation or copying of unsafe behaviors of workers and friends by workers is to use the unsafe behaviors of the workers and friends as decision reference points and set a value function by using the unsafe behaviors of the workers and friends as reference points.
The weighting function: and designing a weight function of worker behavior decision according to the foreground theoretical decision model, representing the probability measurement of each expected result and the change influence of each expected result on the total utility.
Expected utility function: workers with different individual psychology have different preferences for expected utility, so that the preference coefficient of an individual needs to be designed. For workers with active personality psychology, the preference of the salary grade and the position grade is greater than the influence of the behavior demonstration effect of the workers, and for workers with passive personality psychology, the preference influence of the salary grade and the position grade is less than the influence of the behavior demonstration effect of the workers during the operation process. In addition, the judgment of the occurrence probability of the expected utility result by the worker is influenced by the situation factors, and the expected utility and the occurrence probability function thereof are determined according to the content and the influence of the situation factors of the coal mine enterprises and the marginal incremental relationship effect of the expected income and the grade. Accordingly, an expected utility function is set for a particular worker to evaluate the value of an expected target. When the effectiveness of the operation behaviors of the workers is less than the effectiveness of the behaviors achieved by the referenced workers, the worker behavior is regarded as the loss of the operation behaviors of the workers, and then a corresponding loss effectiveness function is obtained
Unsafe behavior propagation decision function: synthesizing the design to obtain an unsafe behavior propagation decision function, and when the absolute value of the expected income utility is greater than the absolute value of the expected loss utility, selecting the unsafe behavior performed by the workers and friends by the worker; otherwise, the unsafe behavior of the workers and the friends is refused to be adopted.
5. Simulation implementation
Fig. 4 is a simulation framework of the propagation process of unsafe behaviors of mine workers, which is based on an analog software platform, and establishes a main behavior model, an environment model and an interaction model according to the operation flow and the actual research needs of a coal mine team group on the basis of a concept model of a previous system, and makes a simulation technical scheme including contents such as a dynamic change target variable, the team group scale, an intelligent agent parameter value, a result output mode and the like. The main body behavior model adopts a worker unsafe behavior propagation decision mechanism and model parameters which are designed in the early stage; the environment model is mainly based on information sources of workers in the operation process and comprises carriers of information streams such as workers, managers, behavior instructions and the like; the interaction model designs established communication rules and interaction connection situations of the interaction between the Agent of the worker main body and the external environment and other agents.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (8)
1. A mine team worker unsafe behavior propagation process extraction and analysis method is characterized by comprising the following steps:
s1, acquiring unsafe behavior data of workers in a mine, and establishing an information processing process model for emergence and propagation of unsafe behaviors of the workers;
s2, after the processing model is trained, a team group system is established for unsafe behaviors of workers, and the main body, the structure and the internal communication mode elements of the team group system are extracted and depicted;
s3, after extraction and depiction are completed, constructing an unsafe behavior propagation process conceptual model;
s4, after the concept model of the transmission process is established, the Agent model of the main body of the worker is processed and designed;
s5, establishing an unsafe behavior propagation decision mechanism of the worker according to the cognitive process by using the formed unsafe behavior propagation process conceptual model and the worker main Agent model;
And S6, verifying operation is carried out according to the established worker unsafe behavior propagation decision mechanism, and correction is carried out according to dynamic propagation evolution of worker unsafe behaviors.
2. The mine team worker unsafe behavior propagation process extraction and analysis method of claim 1, wherein the S1 comprises:
s1-1, collecting unsafe behaviors of workers through mine image collecting equipment, receiving actual working scene information in a mine through sensing the external environment of the mine, and defining an unsafe behavior model in the actual working scene information of the mine;
s1-2, extracting unsafe behaviors of workers through mine image acquisition equipment according to the unsafe behavior model, and mapping information of actual mine working scene information and corresponding time point extraction unsafe behaviors of the workers;
s1-3, according to the mapped unsafe behavior information of the worker, carrying out cognitive processing on the unsafe behavior of the worker, and according to understanding and cognition on the unsafe behavior of the worker in machine learning and the mapped unsafe behavior information of the worker, completing a cognitive processing process;
s1-4, after collecting, copying and evolving unsafe behaviors of workers, properly selecting the unsafe behaviors of the workers and debugging a data set of the unsafe behaviors of the workers; thereby forming an information processing process model.
3. The mine team worker unsafe behavior propagation process extraction and analysis method of claim 1, wherein the S2 comprises:
s2-1, after training of the information processing process model formed in the S1, the unsafe behaviors of workers are extracted into executive behaviors of team leaders and executive behaviors of workers;
s2-2, the team leader executes the behaviors, namely, a team leader execution leader unsafe behavior library, a work task allocation unsafe behavior library, a supervision and management unsafe behavior library and a coordination and control unsafe behavior library are formed;
and S2-3, the worker execution behavior is to form a worker execution business unsafe behavior library, an operation technology unsafe behavior library and a demonstration operation unsafe behavior library.
4. The mine team worker unsafe behavior propagation process extraction and analysis method of claim 1, wherein the S3 comprises:
s3-1, determining set communication rules and interactive connection situations of interaction between the main Agent of the worker and the external environment and other main agents of the worker in the mine operation process;
s3-2, establishing worker main Agent behavior rules and a knowledge base;
s3-3, constructing an unsafe behavior propagation process conceptual model, defining unsafe behaviors propagated by workers, so as to depict differences between executive behaviors of team leaders and executive behaviors of workers in mines, and conceptually defining differentiated and homogenized executive behaviors of team leaders and executive behaviors of workers.
5. The mine team worker unsafe behavior propagation process extraction and analysis method of claim 1, wherein the S4 comprises:
and S4-1, after rules and a knowledge base are defined for the behavior of the main Agent of the worker, internal factors are generated for the internal attributes of the main Agent of the worker, namely the unsafe behavior of the worker, and psychological factors influencing the decision of the unsafe behavior of the worker, wherein the psychological factors comprise two factors of a psychological process and personality. From the action initiative, the personnel individuality of the content including personality traits, personality literacy and the like is divided into an active type and a passive type; the safety behavior willingness is used as an intermediate variable for reflecting worker main body group psychological factor data and worker main body individual psychological factor data influencing worker unsafe behavior decision-making, so that the classification degree of unsafe behaviors of workers is fed back, and the degree of significance is extracted;
s4-2, leading in external attributes of a main Agent of a worker, namely attributes of the worker as a social person in an organization, and information factors of roles in mine work, situations in a mine and occupations in the work of the worker, wherein the social attributes of the main Agent of the worker comprise position grades and salary grades, in a mine production team, the position grades of the worker are positively correlated with danger grades of unsafe behaviors along with the rise of the positions, and the salary grades are positively correlated with the position grades;
S4-3, the Agent knowledge attribute of the worker is a special quality possessed by the worker, is an important index for the worker to investigate propagation of unsafe behaviors, is an information resource for the worker to exchange information and energy with the external environment, and describes the behavior knowledge standardization degree possessed by the worker in the operation process by the worker unsafe behavior quantization function;
s4-4, aiming at the three aspects of the objective environment of the operation process of the Agent of the main body worker, including the working environment, the organization environment and the system environment; the working environment is a combination of all enterprise facts with normative or non-normative functions of guiding and influencing the underground behaviors of workers, and comprises working responsibility and specification, superior indication and interaction among workers and friends, and also comprises a physical working environment which is a physical environment condition directly influencing the working behaviors, such as the size, illumination, ventilation, noise and the like of an underground working field; the organization environment is mainly embodied in the aspects of organization structure design, salary level system, incentive mechanism, employee engagement mechanism and the like of enterprises; the system environment is a series of documents with compendium meaning, which are made around the development and corresponding mission of enterprises, and related national regulations and regulations including safety production management system, enterprise safety culture and operation regulations, and including the modeling and appeal of enterprise managers to employees.
6. The mine team worker unsafe behavior propagation process extraction and analysis method of claim 1, wherein the S5 comprises:
s5-1, an unsafe behavior decision mechanism for workers: in the action decision process, the worker considers the benefit and the evaded risk of the action selected finally, and the action decision process of the worker is described by applying a foreground theory based on the cognitive information processing process of the worker, wherein the risk decision process is divided into two processes, namely editing and evaluating. In the editing stage of risk evaluation, the individual members of workers acquire and process information by means of reference points, and in the evaluation stage, the information is judged mainly by means of two methods, namely a cost function and a weight function of subjective probability;
s5-2, establishing a worker unsafe behavior value function: in the mine operation process, the simulation or the reproduction propagation of unsafe behaviors of workers and friends by workers is to set a value function by taking the unsafe behaviors of the workers and friends as decision reference points;
s5-3, establishing a worker unsafe behavior weight function: designing a weight function of worker behavior decision according to the foreground theoretical decision model, representing the probability measurement of each expected result and the change influence of each expected result on the total utility;
S5-4, establishing an expected utility function of unsafe behaviors of workers: the preferences of workers with different individual psychology on the expected utility are different, so the preference coefficient of an individual needs to be designed; for workers with active personality psychology, the preference of the salary grade and the position grade is greater than the influence of the behavior demonstration effect of the workers, and for workers with passive personality psychology, the preference influence of the salary grade and the position grade is less than the influence of the behavior demonstration effect of the workers during the operation process. In addition, the judgment of the occurrence probability of the expected utility result by the worker is influenced by the situation factors, and the expected utility and the occurrence probability function thereof are determined according to the content and the influence of the situation factors of the coal mine enterprises and the marginal incremental relationship effect of the expected income and the grade. Accordingly, an expected utility function is set for a particular worker to evaluate the value of an expected target. When the effectiveness of the operation behaviors of the workers is smaller than the effectiveness of the behaviors achieved by the referenced workers, the workers are regarded as the loss of the operation behaviors of the workers, and then corresponding loss effectiveness functions are obtained;
s5-5, worker unsafe behavior propagation decision function: obtaining a worker unsafe behavior propagation decision mechanism through S5-1 to S5-4, and judging worker unsafe behavior data collected in real time by worker unsafe behavior data prestored in mine image collecting equipment when the extracted absolute value of the expected utility of the worker unsafe behavior is greater than the absolute value of the lost utility of the worker unsafe behavior; and if the actions are not matched to be the same, continuing to perform the mine operation, and otherwise, refusing to adopt the unsafe action.
7. The mine team worker unsafe behavior propagation process extraction and analysis method of claim 1, wherein the S6 comprises:
s6-1, constructing a main behavior model of unsafe behaviors of workers, an environment model of unsafe behaviors of workers and an interaction model of unsafe behaviors of workers according to pre-stored working behavior data of executive behaviors of group leaders in mines and worker executive behaviors and working behavior data collected in real time;
s6-2, establishing a simulation technical scheme of dynamic change target variables of unsafe behaviors of workers, team scale, intelligent agent parameter values and result output modes;
s6-3, adopting an early-stage designed worker unsafe behavior propagation decision mechanism and model parameters for worker main body unsafe behaviors; the worker unsafe behavior environment model is mainly based on information sources of a worker operation process in a mine, and the interaction model is designed according to established communication rules and interaction connection situations of interaction between a worker main Agent and an external environment and other agents;
and S6-4, continuously collecting and updating data sets of unsafe behaviors of mine workers through the cloud server, updating data sets of unsafe behaviors of local workers, finishing decisions of the unsafe behaviors of the mine workers in real time through continuous training and updating, and correcting dynamic propagation evolution of the unsafe behaviors of the workers.
8. The mine team worker unsafe behavior propagation process extraction and analysis method according to claim 1, wherein the constructed unsafe behavior propagation process conceptual model of S3-3 comprises:
S-A, judging whether unsafe behaviors of workers to be identified exist in prestored unsafe behaviors of the workers, and if yes, determining that the unsafe behaviors of the workers to be identified exist; otherwise, the unsafe behavior of the worker does not exist, the cluster analysis posterior probability method is used for self-learning the unsafe behavior of the worker in the mine to obtain the expected value of the unsafe behavior,
calculating the posterior probability of unsafe behaviors of workers by using a Bayesian formula:
in which the hidden variable f is used as a basisxTo make the worker unsafeThe number of instance classes of a behavior is dxY, where the subscript x is the category of worker unsafe behavior, y is the number of worker unsafe behaviors obtained, T (d)xY; E) number of classes d for unsafe behavior of workersxMarking the space distribution proportion occupied by y by calculating a parameter E; wherein K and psi are respectively the judgment parameter of unsafe behavior of workers and the adjustment parameter of probability analysis, and a process function T (f) is calculatedx|dxY, K, Ψ), s is a positive integer, and the process function is spatially distributed in the unsafe behavior of the worker, and is calculated by a hybrid model 
After calculation, the spatial distribution of the calculated ratio and the process function in the unsafe behavior of the worker is carried out to obtain the posterior probability of the unsafe behavior,
forming initial clustering centers of unsafe behaviors of workers through posterior probability calculation, sequentially treating the unsafe behaviors of the clustered workers by taking each initial clustering center as a starting point, and calculating the similarity of the unsafe behaviors of the workers:
setting worker unsafe behavior clustering sample LsThe rejection threshold value of (2): r (L)s) Then the clustering algorithm is:
wherein, Fmax(Ls,Ni) For clustering samples LsAnd behavior criterion NiMaximum sample reference function of, W (L)s) For clustering samples LsPartial derivatives of (A), U is a weight variable, C (L)s,Ni) Is a reference function of a benchmark and then multiplied by the number of persons implementing unsafe behaviors PsRatio to total number of mine workers P
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