Equipment safety production quality consultation method and system

Abstract

The invention relates to the technical field of equipment quality management, and particularly discloses an equipment safety production quality consultation method and system, which can improve the safety of equipment production and reduce the misjudgment of unsafe events through efficient consultation management performed by collecting the operation information of an equipment production field. The method mainly comprises the following steps of: performing safety analysis on real-time operation information of an equipment production field: judging a safety coefficient of an equipment production stage according to production operation efficiency and production utilization efficiency, judging whether a current production stage contains unsafe items or not according to the safety coefficient, if so, adding the unsafe items, and entering a production quality management stage; if not, normal equipment production operation is carried out; performing production quality management analysis on the unsafe project, judging whether the information accuracy of the unsafe project meets the requirement or not, if so, obtaining safety management consultation information, determining a management consultation scheme, and entering a quality consultation stage; otherwise, withdrawing the unsafe project information.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment quality management, and in particular to an equipment safety production quality consulting method and system. Background Art

[0002] The equipment production safety quality consulting method is applicable to various industrial production environments. Through highly automated and information-based production lines to monitor equipment performance and production processes in real time, potential safety hazards can be discovered and resolved in a timely manner, production accidents can be prevented, and product quality can be ensured to meet standards.

[0003] Currently, professional risk assessment and safety concept formulation services are provided, which usually include steps such as protection requirement analysis, risk assessment, safety concept formulation and safety system verification, to help companies protect equipment and machinery and ensure the safety of employees and companies. At present, the design and implementation of equipment production safety quality consulting methods and systems usually follow a series of standardized processes and best practices, helping companies identify and manage safety risks in the production process to ensure the normal operation of equipment and product quality.

[0004] However, in the actual equipment production process, the safe production of equipment usually relies on the technical supervision and technical consultation of employees and relevant technical personnel, and feedbacks the regulatory information between the previous cycle and the next cycle of equipment production. However, due to the related non-standard operations and unsafe management awareness, the unsafe incidents in the production process are misjudged, resulting in a decline in the actual production quality and production efficiency of the product. In addition, the occurrence of long-term unsafe incidents is also likely to lead to accident risks, affecting the normal industrial production environment. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for consulting equipment safety production quality to solve the following technical problems:

[0006] How to improve the safety of equipment production and reduce the misjudgment of unsafe incidents.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A method for consulting equipment production safety quality, the method comprising:

[0009] S1. Collect real-time operation information of equipment production site; real-time operation information includes production operation efficiency and production utilization efficiency; production operation efficiency is used to monitor and obtain production quality information of equipment projects, and production utilization efficiency is used to monitor and obtain qualified production output information of equipment projects;

[0010] S2. Conduct safety analysis on the real-time operation information of the equipment production site: determine the safety factor of the equipment production stage based on the production operation efficiency and production utilization efficiency, and determine whether the current production stage contains unsafe items based on the safety factor. If so, add the unsafe items and enter the production quality management stage; if not, carry out normal equipment production operation;

[0011] S3. Perform production quality management analysis on unsafe projects to determine whether the accuracy of unsafe project information meets the requirements. If yes, obtain safety management consulting information, determine the management consulting plan, and enter the quality consulting stage; otherwise, withdraw the unsafe project information;

[0012] S4. Generate audit information based on the project security log in the quality consultation phase and enter the quality audit phase;

[0013] S5. Generate an audit form based on the production evaluation results in the quality audit stage.

[0014] Preferably, step S2 comprises:

[0015] According to the formula Calculate the safety factor Sac of the equipment at the i-th production stage i ;

[0016] Where m is the total number of current equipment production items, and j∈[1,m]; Op ij Op is the production operation efficiency parameter of the jth production item in the i-th production stage of the equipment; i0 is the standard production operation efficiency parameter of the equipment at the i-th production stage; Ut ij is the production utilization efficiency parameter of the jth production item in the i-th production stage of the equipment; Ut i0 is the standard production utilization efficiency parameter of the equipment at the i-th production stage; τ 1 The first preset weight coefficient; τ 2 is the second preset weight coefficient.

[0017] Preferably, according to the safety factor Sac of the equipment at the i-th production stage i Size determines whether the current production stage contains unsafe items:

[0018] The safety factor Sac i and the preset safety factor threshold interval [Sac A , Sac B ] for comparison:

[0019] If Sac i <Sac A , then it is judged that the current production stage is lower than the safety production requirements;

[0020] If Sac A ≤Sac i ≤Sac B , then it is judged that the current production stage meets the safety production requirements;

[0021] If Sac i >Sac B , then the current production stage is judged to be higher than the safety production requirements and it is considered that the current production stage contains unsafe items.

[0022] Preferably, the unsafe items are identified by:

[0023] Obtain the historical safety inspection form of the equipment production site to obtain the curve of the number of faults found and repaired during the inspection cycle of each equipment production project over time;

[0024] Set parallel lines of critical failure times and maximum repair times for each equipment production project;

[0025] Get the equipment production project types that exceed the critical value of the number of failures or the number of repairs as the set of target projects, and arrange them from large to small according to the total number of target projects whose change curves exceed the parallel line:

[0026] When the total number of target items is greater than a preset threshold, an unsafe item flag is generated;

[0027] Otherwise, the current target item is ignored.

[0028] Preferably, the production quality management analysis in step S3 includes:

[0029] Conduct quality inspection on unsafe projects and obtain their production quality information; and analyze the real-time operation information of the project at the production site based on the production quality information:

[0030] By formula Calculate the matching coefficient Coe of the project in the i-th production stage i ; Where f is the preset function; μ i1 is the first preset weight coefficient of the i-th production stage, μ i2 is the second preset weight coefficient of the i-th production stage, and μ i1 , μ i2 All greater than 0; i Op is the quality inspection parameter of the project at the i-th production stage; i is the production operation efficiency parameter of the project in the i-th production stage; Ut i is the production utilization efficiency parameter of the project in the i-th production stage; Qu i0 is the quality inspection standard parameter of the project in the i-th production stage.

[0031] Preferably, judging whether the accuracy of the unsafe project information meets the requirements includes:

[0032] The matching coefficient Coe of the unsafe project i Compare with the preset standard matching coefficient threshold range:

[0033] If the matching coefficient Coe i If it does not fall within the preset standard matching coefficient threshold range, it is judged that the unsafe project information has a risk event;

[0034] If the matching coefficient Coe i If it falls within the preset standard matching coefficient threshold range, it is judged that there is no risk event for the unsafe project information.

[0035] Preferably, the security management consulting information analysis includes:

[0036] Obtain and mark all risk events of unsafe projects according to the safety checklist;

[0037] Build a prediction model based on the marked risk events, and predict and output the risk level based on the frequency of historical risk events;

[0038] Generate project security logs based on risk levels.

[0039] An equipment safety production quality consulting system, comprising:

[0040] The collection end is used to collect real-time operation information of the equipment production site; the collection end includes an equipment monitoring module, which is used to monitor and obtain the production quality information of the equipment project and the qualified production output information of the equipment project; and also includes a data collection module, which is used to collect data information of the equipment monitoring module;

[0041] The data analysis end is used to conduct safety analysis on the real-time operation information of the equipment production site: the safety factor of the equipment production stage is determined based on the production operation efficiency and production utilization efficiency, and whether the current production stage contains unsafe items is determined based on the safety factor. If so, the unsafe items are added and the production quality management stage is entered; if not, the equipment production operation is carried out normally;

[0042] The data management end is used to perform production quality management analysis on unsafe projects to determine whether the accuracy of unsafe project information meets the requirements. If so, obtain safety management consulting information, determine the management consulting plan, and enter the quality consulting stage; otherwise, withdraw the unsafe project information;

[0043] The display end is used to generate audit information based on the project safety log in the quality consultation phase and enter the quality audit phase; and to generate audit forms based on the production evaluation results in the quality audit phase.

[0044] A computer device comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor. When the processor executes the computer program, the steps of any one of the above-mentioned equipment production safety quality consulting methods are implemented.

[0045] A computer-readable storage medium stores a computer program. When the computer program is loaded and executed by a processor, the steps of an equipment safety production quality consulting method are adopted.

[0046] Beneficial effects of the present invention:

[0047] (1) The present invention realizes the process of judging and evaluating the safety and quality production process of the equipment by designing the equipment safety production quality consultation method, thereby improving production efficiency and product quality, and can also enhance the control and foresight of the enterprise over the production process, specifically by real-time capturing the production operation efficiency and production utilization efficiency of the production equipment; judging the safety factor of the equipment production stage according to the production operation efficiency and production utilization efficiency, and judging whether the current production stage contains unsafe items according to the safety factor, if so, adding unsafe items and entering the production quality management stage; if not, the equipment production operation is carried out normally; and by analyzing the collected data, the safety factor of the equipment production stage is calculated; the safety factor is used in combination with the production operation efficiency and production utilization efficiency to predict and evaluate the potential risk points in the production environment, and identify whether there are unsafe items. Through safety analysis, the real-time situation of the equipment production project is judged and risk prediction is carried out in a timely manner, and risk items are added.

[0048] (2) The present invention performs production quality management analysis on unsafe projects to determine whether the accuracy of unsafe project information meets the requirements, distinguish between situations that meet the requirements and those that do not, enhance the accuracy of unsafe project information, and strengthen the confirmation of unsafe project identification factors. After confirmation, enter the management consulting program to determine the subsequent improvement direction. If there is an error in the determination of the unsafe project, it is necessary to re-evaluate to avoid unnecessary waste of resources. If it is determined to meet the requirements, obtain safety management consulting information, determine the management consulting program, and enter the quality consulting stage. By conducting detailed problem identification and prediction of unsafe risks, the possible misjudgment behavior of pattern processing in actual production is reduced, and the ability to accurately identify risk events is achieved.

[0049] Of course, any product implementing the present invention does not necessarily need to achieve all the advantages of the above content at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0051] Figure 1 A step diagram of a method for consulting on equipment production safety quality according to the present invention;

[0052] Figure 2 This is a structural diagram of an equipment safety production quality consulting system of the present invention. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] See also Figure 1 As shown, the present invention is a method for consulting equipment safety production quality, the method comprising:

[0055] S1. Collect real-time operation information of equipment production site; real-time operation information includes production operation efficiency and production utilization efficiency; production operation efficiency is used to monitor and obtain production quality information of equipment projects, and production utilization efficiency is used to monitor and obtain qualified production output information of equipment projects;

[0056] S2. Conduct safety analysis on the real-time operation information of the equipment production site: determine the safety factor of the equipment production stage based on the production operation efficiency and production utilization efficiency, and determine whether the current production stage contains unsafe items based on the safety factor. If so, add the unsafe items and enter the production quality management stage; if not, carry out normal equipment production operation;

[0057] S3. Perform production quality management analysis on unsafe projects to determine whether the accuracy of unsafe project information meets the requirements. If yes, obtain safety management consulting information, determine the management consulting plan, and enter the quality consulting stage; otherwise, withdraw the unsafe project information;

[0058] S4. Generate audit information based on the project security log in the quality consultation phase and enter the quality audit phase;

[0059] S5. Generate an audit form based on the production evaluation results in the quality audit stage.

[0060] In the above technical scheme, in this embodiment, the process of judging and evaluating the safety and quality production process of the equipment is realized by designing an equipment safety production quality consulting method. The method designed by this invention can improve production efficiency and product quality, and can also enhance the control and foresight of the enterprise over the production process, thereby gaining an advantage in the fiercely competitive market.

[0061] First, by collecting real-time operation information of the equipment production site; real-time operation information includes production operation efficiency and production utilization efficiency; production operation efficiency is used to monitor and obtain production quality information of equipment projects, and production utilization efficiency is used to monitor and obtain qualified production output information of equipment projects; this stage is mainly carried out through sensors and other data collection tools to capture the production operation efficiency and production utilization efficiency of production equipment in real time; production operation efficiency reflects the product quality, while production utilization efficiency is the key reference object for measuring the ratio of actual output to theoretical production capacity.

[0062] Then, a safety analysis is conducted on the real-time operation information of the equipment production site: the safety factor of the equipment production stage is determined based on the production operation efficiency and production utilization efficiency, and whether the current production stage contains unsafe items is determined based on the safety factor. If so, unsafe items are added and the production quality management stage is entered; if not, the equipment production operation is carried out normally; the safety factor of the equipment production stage is calculated by analyzing the collected data; the safety factor is used in combination with the production operation efficiency and production utilization efficiency to predict and evaluate the potential risk points in the production environment and identify whether there are unsafe items. Once a safety hazard is found, the production quality management stage is immediately started, otherwise the normal production process continues; through safety analysis, the real-time situation of the equipment production project is judged and risk prediction is carried out in a timely manner, and risk items are added.

[0063] Specifically, as an implementation of the present invention, step S2 includes:

[0064] According to the formula Calculate the safety factor Sac of the equipment at the i-th production stage i ;

[0065] Where m is the total number of current equipment production items, and j∈[1,m]; Op ij Op is the production operation efficiency parameter of the jth production item in the i-th production stage of the equipment; i0 is the standard production operation efficiency parameter of the equipment at the i-th production stage; Ut ij is the production utilization efficiency parameter of the jth production item in the i-th production stage of the equipment; Ut i0 is the standard production utilization efficiency parameter of the equipment at the i-th production stage; τ 1 The first preset weight coefficient; τ2 is the second preset weight coefficient.

[0066] In the above technical solution, in this embodiment, the formula Get the safety factor Sac of the equipment at the i-th production stage i , according to the safety factor Sac i The size of the unsafe project is added. Specifically, due to the different production projects based on the equipment, the change state of its production operation efficiency and production utilization efficiency has a very obvious impact on the overall production efficiency of the project in the equipment. The excessive or small data of the project production quality change represented by the production operation efficiency and the actual project qualified output quantity represented by the production utilization efficiency have a significant impact on the safe production process of the production equipment. Therefore, by judging the production operation efficiency parameters and the production utilization efficiency parameters for comparative analysis, the safety factor Sac at different stages is realized. i Real-time accurate acquisition.

[0067] Among them, it needs to be explained that Op i0 , Ut i0 All of them are obtained by simulation based on historical data and will not be described in detail here; and the first preset weight coefficient τ 1 It is obtained by quantitative simulation calculation based on the influence of the actual real-time changes of production and operation efficiency parameters on the safety factor. The second preset weight coefficient τ 2 It is obtained by quantitative simulation calculation based on the influence of actual changes in production utilization efficiency parameters on the size of the safety factor.

[0068] Specifically, as an embodiment of the present invention, according to the safety factor Sac of the i-th production stage of the equipment i Size determines whether the current production stage contains unsafe items:

[0069] The safety factor Sac i and the preset safety factor threshold interval [Sac A , Sac B ] for comparison:

[0070] If Sac i <Sac A , then it is judged that the current production stage is lower than the safety production requirements;

[0071] If Sac A ≤Sac i ≤Sac B , then it is judged that the current production stage meets the safety production requirements;

[0072] If Sac i >Sac B, then the current production stage is judged to be higher than the safety production requirements and it is considered that the current production stage contains unsafe items.

[0073] In the above technical scheme, this embodiment determines the size of the safety factor to analyze whether there are unsafe projects, by comparing whether the size of the safety factor of different production stages obtained in real time falls within the size of a pre-set range interval. If it exceeds the threshold, it is determined that the production of various projects in this stage contains unsafe projects.

[0074] Specifically, as an implementation mode of the present invention, the method for identifying unsafe items at different stages is as follows:

[0075] Obtain the historical safety inspection form of the equipment production site to obtain the curve of the number of faults found and repaired during the inspection cycle of each equipment production project over time;

[0076] Set parallel lines of critical failure times and maximum repair times for each equipment production project;

[0077] Get the equipment production project types that exceed the critical value of the number of failures or the number of repairs as the set of target projects, and arrange them from large to small according to the total number of target projects whose change curves exceed the parallel line:

[0078] When the total number of target items is greater than a preset threshold, an unsafe item flag is generated;

[0079] Otherwise, the current target item is ignored.

[0080] In the above technical scheme, in this embodiment, the unsafety of the current project is further confirmed by designing a method step for identifying unsafe projects at different stages: first, data is collected from the historical safety inspection table of the equipment production site, which includes the number of faults found and the number of repairs for each equipment production project during the inspection cycle, and the acquired data changes over time, and can be drawn into a curve to intuitively display the fault and repair trends of the equipment; then, a critical value of the number of faults and a maximum value of the number of repairs are set for each equipment production project. These critical values ​​and maximum values ​​are set based on the historical performance standards, historical data and safety specifications of the equipment; and by comparing the number of faults found and the number of repairs of the equipment with the set critical values ​​and maximum values, the equipment production project type that exceeds the set critical values ​​and maximum values ​​is identified as the target project; then, the identified target projects are sorted from large to small according to the number of times their change curves exceed the set parallel lines, and the total number is counted. If the total number of target projects exceeds the preset threshold, the system will generate an unsafe project sign, prompting that further safety inspection or maintenance is required for the relevant equipment or project; if the total number of target projects does not reach the preset threshold, it is considered that the current equipment or project is within an acceptable safety range and can continue to be monitored, but no special measures need to be taken immediately.

[0081] Next, by performing production quality management analysis on unsafe projects, it is used to determine whether the accuracy of unsafe project information meets the requirements, distinguish between situations that meet the requirements and those that do not meet the requirements, strengthen the accuracy of unsafe project information, strengthen the confirmation of unsafe project identification factors, and after confirmation, enter the safety management consultation step, formulate specific improvement measures, that is, management consultation plans, and then determine the subsequent improvement direction. If there is an error in the determination of unsafe projects, it is necessary to re-evaluate to avoid unnecessary waste of resources. If the judgment meets the requirements, obtain safety management consultation information, determine the management consultation plan, and enter the quality consultation stage. Among them, in the actual monitoring and real-time judgment, the management of equipment procedures and operators who actually operate the operation may have a short "absenteeism" during the processing and production process. In order to eliminate this situation, detailed problem identification and prediction of unsafe risks should be carried out to reduce the possible misjudgment behavior of pattern processing in actual production, thereby affecting the efficiency and accuracy of equipment production, and ultimately may lead to an impact on output rate. Therefore, the ability to identify risk events should be refined.

[0082] As an embodiment of the present invention, the production quality management analysis in step S3 includes:

[0083] Conduct quality inspection on unsafe projects and obtain their production quality information; and analyze the real-time operation information of the project at the production site based on the production quality information:

[0084] By formula Calculate the matching coefficient Coe of the project in the i-th production stage i ; Where f is the preset function; μ i1 is the first preset weight coefficient of the i-th production stage, μ i2 is the second preset weight coefficient of the i-th production stage, and μ i1 , μ i2 All greater than 0; i Op is the quality inspection parameter of the project at the i-th production stage; i is the production operation efficiency parameter of the project in the i-th production stage; Ut i is the production utilization efficiency parameter of the project in the i-th production stage; Qu i0 is the quality inspection standard parameter of the project in the i-th production stage.

[0085] In the above technical scheme, the production quality management analysis content in this embodiment is to conduct quality inspection on unsafe projects and obtain their production quality information; and match the real-time operation information of the project at the production site according to the production quality information for analysis; thereby ensuring the accuracy of the unsafe projects and making judgments and analyses, and judging the specific circumstances of the unsafe project information. In this embodiment, by obtaining the matching coefficient of the project at different production stages, the production quality safety of the project is judged by calculating the size of the matching coefficient, and whether the coefficientized results of the safety changes of the impact of the project quality inspection results on the project production operation efficiency and the project production utilization efficiency are accurate.

[0086] It needs further explanation that Qu i0 It is obtained based on simulation of historical data and will not be described in detail here; the preset function f is a matching conversion function set according to historical data to ensure that the result of the matching coefficient is within a specific reasonable range.

[0087] As an implementation mode of the present invention, judging whether the accuracy of the unsafe project information meets the requirements includes:

[0088] The matching coefficient Coe of the unsafe project i Compare with the preset standard matching coefficient threshold range:

[0089] If the matching coefficient Coe i If it does not fall within the preset standard matching coefficient threshold range, it is judged that the unsafe project information has a risk event;

[0090] If the matching coefficient Coe i If it falls within the preset standard matching coefficient threshold range, it is judged that there is no risk event for the unsafe project information.

[0091] In the above technical solution, the method for judging whether the accuracy of the unsafe project information meets the requirements in this embodiment is to convert the matching coefficient Coe of the unsafe project into i Compare the size with the preset standard matching coefficient threshold range to determine the calculated matching coefficient Coe i Whether it falls within the currently set standard range, if so, it is judged that the current unsafe project information does not meet the requirements; if it does not fall within the range, it is judged that the unsafe project information meets the unsafe risk situation.

[0092] Furthermore, audit information is generated based on the project safety log in the quality consulting phase and the quality audit phase is entered; based on the management consulting plan, detailed project safety logs are recorded as an important basis for subsequent audits; and all improvement measures are ensured to be recorded in detail to facilitate tracking of the effects.

[0093] Finally, an audit form is generated based on the production evaluation results of the quality audit phase; a comprehensive evaluation is conducted based on the log records of the previous phase to form an audit report. The audit report is a comprehensive summary of the quality management and improvement work throughout the production cycle, and is used as the basis for management decision-making and support for continuous improvement activities.

[0094] As an implementation mode of the present invention, the security management consulting information analysis includes:

[0095] Obtain and mark all risk events of unsafe projects according to the safety checklist;

[0096] Build a prediction model based on the marked risk events, and predict and output the risk level based on the frequency of historical risk events;

[0097] Generate project security logs based on risk levels.

[0098] In the above technical solution, the identification and marking of risk events in this embodiment mainly include the following contents:

[0099] First, data collection and preprocessing: obtain all risk events related to unsafe projects from the safety checklist, including equipment failure, operational errors, safety hazards caused by environmental factors, etc.

[0100] Second, event marking: conduct a detailed analysis of each risk event and mark it according to its nature, scope of impact and severity, such as "high risk", "medium risk" and "low risk".

[0101] Third, build a prediction model: First, extract key features from the marked risk events, such as frequency of occurrence, event type, scope of impact, severity, etc. Then, based on the frequency of historical risk events, select a suitable prediction model, such as logistic regression, decision tree, random forest or neural network, etc. Next, conduct model training and validation: use historical data to train the model, and evaluate the model's prediction accuracy through methods such as cross-validation.

[0102] Fourth, generate project security logs: First, use the trained model to predict the risk of the current project and output the risk level of each project. Then, based on the predicted risk level, generate a project security log to record the detailed risk assessment results of each project, including risk type, predicted risk level, recommended safety measures, etc. It also includes updating the security log regularly or at key project nodes to ensure the timeliness and accuracy of the information.

[0103] Through the above steps, safety risks in the project can be systematically identified and predicted, providing data support for project management and ensuring the smooth progress of the project and the safety of personnel.

[0104] See also Figure 1 As shown, the present invention also designs an equipment safety production quality consulting system based on the above method, including:

[0105] The collection end is used to collect real-time operation information of the equipment production site; the collection end includes an equipment monitoring module, which is used to monitor and obtain the production quality information of the equipment project and the qualified production output information of the equipment project; and also includes a data collection module, which is used to collect data information of the equipment monitoring module;

[0106] The data analysis end is used to conduct safety analysis on the real-time operation information of the equipment production site: the safety factor of the equipment production stage is determined based on the production operation efficiency and production utilization efficiency, and whether the current production stage contains unsafe items is determined based on the safety factor. If so, the unsafe items are added and the production quality management stage is entered; if not, the equipment production operation is carried out normally;

[0107] The data management end is used to perform production quality management analysis on unsafe projects to determine whether the accuracy of unsafe project information meets the requirements. If so, obtain safety management consulting information, determine the management consulting plan, and enter the quality consulting stage; otherwise, withdraw the unsafe project information;

[0108] The display end is used to generate audit information based on the project safety log in the quality consultation phase and enter the quality audit phase; and to generate audit forms based on the production evaluation results in the quality audit phase.

[0109] A computer device comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor. When the processor executes the computer program, the steps of any one of the above-mentioned equipment production safety quality consulting methods are implemented.

[0110] A computer-readable storage medium stores a computer program. When the computer program is loaded and executed by a processor, the processor implements the steps of any one of the above-mentioned equipment production safety quality consulting methods when executing the computer program.

[0111] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0112] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this application, they shall all fall within the protection scope of the present invention.

Claims

1. A method for consulting equipment safety production quality, characterized in that: The method comprises: S1. Collecting real-time operation information of the equipment production site; the real-time operation information includes production operation efficiency and production utilization efficiency; the production operation efficiency is used to monitor and obtain the production quality information of the equipment project, and the production utilization efficiency is used to monitor and obtain the qualified production output information of the equipment project; S2. Conduct safety analysis on the real-time operation information of the equipment production site: determine the safety factor of the equipment production stage according to the production operation efficiency and production utilization efficiency, and determine whether the current production stage contains unsafe items according to the safety factor. If so, add the unsafe items and enter the production quality management stage; if not, carry out normal equipment production operation; S3. Perform production quality management analysis on unsafe projects to determine whether the accuracy of unsafe project information meets the requirements. If yes, obtain safety management consulting information, determine the management consulting plan, and enter the quality consulting stage; otherwise, withdraw the unsafe project information; S4. Generate audit information based on the project security log in the quality consultation phase and enter the quality audit phase; S5. Generate an audit form based on the production evaluation results in the quality audit stage.

2. The equipment safety production quality consulting method according to claim 1 is characterized in that: Step S2 includes: According to the formula Calculate the safety factor Sac of the equipment at the i-th production stage i ; Where m is the total number of current equipment production items, and j∈[1,m]; Op ij Op is the production operation efficiency parameter of the jth production item in the i-th production stage of the equipment; i0 is the standard production operation efficiency parameter of the equipment at the i-th production stage; Ut ij is the production utilization efficiency parameter of the jth production item in the i-th production stage of the equipment; Ut i0 is the standard production utilization efficiency parameter of the equipment in the i-th production stage; τ1 is the first preset weight coefficient; τ2 is the second preset weight coefficient.

3. The equipment production safety quality consulting method according to claim 2 is characterized in that: According to the safety factor Sac of the i-th production stage of the equipment i Size determines whether the current production stage contains unsafe items: The safety factor Sac i and the preset safety factor threshold interval [Sac A , Sac B ] for comparison: If Sac i <Sac A , then it is judged that the current production stage is lower than the safety production requirements; If Sac A ≤Sac i ≤Sac B , then it is judged that the current production stage meets the safety production requirements; If Sac i >Sac B , then the current production stage is judged to be higher than the safety production requirements and it is considered that the current production stage contains unsafe items.

4. The equipment safety production quality consulting method according to claim 3 is characterized in that: The unsafe items are identified as follows: Obtain the historical safety inspection list of the equipment production site to obtain the curve of the number of faults found and repaired during the inspection cycle of each equipment production project over time; Set parallel lines of critical failure times and maximum repair times for each equipment production project; Get the equipment production project types that exceed the critical value of the number of failures or the number of repairs as the set of target projects, and arrange them from large to small according to the total number of target projects whose change curves exceed the parallel line: When the total number of target items is greater than a preset threshold, an unsafe item flag is generated; Otherwise, the current target item is ignored.

5. The equipment safety production quality consulting method according to claim 2 is characterized in that: The production quality management analysis in step S3 includes: Conduct quality inspection on unsafe projects and obtain their production quality information, and analyze the real-time operation information of the project at the production site based on the production quality information: By formula Calculate the matching coefficient Coe of the project in the i-th production stage i ; Where f is the preset function; μ i1 is the first preset weight coefficient of the i-th production stage, μ i2 is the second preset weight coefficient of the i-th production stage, and μ i1 , μ i2 All greater than 0; i Op is the quality inspection parameter of the project at the i-th production stage; i is the production operation efficiency parameter of the project in the i-th production stage; Ut i is the production utilization efficiency parameter of the project in the i-th production stage; Qu i0 is the quality inspection standard parameter of the project in the i-th production stage.

6. The equipment production safety quality consulting method according to claim 5 is characterized in that: The determination of whether the accuracy of the unsafe project information meets the requirements includes: The matching coefficient Coe of the unsafe project i Compare with the preset standard matching coefficient threshold range: If the matching coefficient Coe i If it does not fall within the preset standard matching coefficient threshold range, it is judged that the unsafe project information has a risk event; If the matching coefficient Coe i If it falls within the preset standard matching coefficient threshold range, it is judged that there is no risk event for the unsafe project information.

7. The equipment production safety quality consulting method according to claim 6 is characterized in that: The safety management consulting information analysis includes: Obtain and mark all risk events of unsafe projects according to the safety checklist; Build a prediction model based on the marked risk events, and predict and output the risk level based on the frequency of historical risk events; Generate project security logs based on risk levels.

8. An equipment safety production quality consulting system, characterized by: The equipment production safety quality consulting method according to any one of claims 1 to 7 comprises: The collection end is used to collect real-time operation information of the equipment production site; the collection end includes an equipment monitoring module, which is used to monitor and obtain the production quality information of the equipment project and the qualified production output information of the equipment project; and also includes a data collection module, which is used to collect data information of the equipment monitoring module; The data analysis end is used to conduct safety analysis on the real-time operation information of the equipment production site: the safety factor of the equipment production stage is determined according to the production operation efficiency and production utilization efficiency, and whether the current production stage contains unsafe items is determined according to the safety factor. If so, the unsafe items are added and the production quality management stage is entered; if not, the equipment production operation is carried out normally; The data management end is used to perform production quality management analysis on unsafe projects to determine whether the accuracy of unsafe project information meets the requirements. If so, obtain safety management consulting information, determine the management consulting plan, and enter the quality consulting stage; otherwise, withdraw the unsafe project information; The display end is used to generate audit information based on the project safety log in the quality consultation phase and enter the quality audit phase; and to generate audit forms based on the production evaluation results in the quality audit phase.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is loaded and executed by a processor, the method according to any one of claims 1 to 7 is adopted.

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