Industrial production safety intelligent management platform and management method
By designing an intelligent industrial production safety management platform and using real-time monitoring and risk assessment modules for data hierarchical processing, the existing technology's medium-to-high cost and false alarm problems are solved, and efficient security management and multi-level risk treatment are achieved for small and medium-sized enterprises.
Patent Information
- Application Number
- CN202411662878.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-20
- Publication Date
- 2025-03-14
AI Technical Summary
The existing intelligent production safety management platform has high costs in terms of data processing and computing capabilities, making it difficult to be applicable to small and medium-sized enterprises, and the sensors are susceptible to environmental impacts to lead to false alarms, affecting production safety.
An intelligent industrial production safety management platform was designed, including real-time monitoring module, risk assessment module, operation permit and process management module, data analysis and decision-making module, emergency plan module, fault maintenance module, early warning module and platform display module. Through simple data judgment and preset data comparison, the system's computing capabilities are reduced, and the first-level, second-level and third-level risk modules are set up for hierarchical processing.
It realizes efficient and convenient security protection, reduces the platform's investment cost, is suitable for small and medium-sized enterprises, improves emergency response efficiency, reduces the risk of false alarms, and enhances the multi-level management capabilities of production safety management.
Smart Images

Figure CN119624102A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of industrial production safety management, and in particular to an intelligent industrial production safety management platform. The present invention also relates to a management method using the intelligent industrial production safety management platform. Background Art
[0002] In the field of safe production, digital service platforms are gradually becoming an intelligent shield to protect industrial safety. The digital service platform for safe production is a comprehensive management platform that integrates sensors, big data analysis, cloud computing, artificial intelligence and other technologies. It can monitor various parameters in the production process in real time, quickly perceive potential risks, and issue early warnings, thereby improving the efficiency and effectiveness of safety management.
[0003] First, intelligent production safety can improve the accuracy and real-time nature of production safety management and reduce accident risks. Through sensor monitoring and data analysis, it can obtain equipment operating status and environmental parameters in real time and promptly discover potential safety hazards. It can also make predictions and early warnings based on historical data and take measures in advance to avoid accidents.
[0004] Secondly, intelligent safety can improve production efficiency and quality. Intelligent production equipment and processes can more effectively monitor and control the production process, avoid the impact of human factors on production efficiency and quality, and intelligent quality monitoring systems can more accurately detect product defects and non-conforming items, improve product quality and customer satisfaction.
[0005] However, there are also some problems with the intelligent production management platform. First of all, intelligent safety production involves a large amount of data collection and processing, requiring companies to have strong data storage and computing capabilities, which is a huge economic burden for small and medium-sized enterprises and requires large-scale information technology investment. Especially for some small processing plants, there are often no full-time equipment safety personnel to check the equipment and supervise the operators, which can easily lead to safety accidents. In industrial production workshops, safety accidents often have a great impact on personal safety.
[0006] The current intelligent production safety management platforms all use sensors to monitor abnormal information to realize alarm functions. However, since sensors are affected by temperature and humidity, they are prone to false alarms. For small enterprises, in order to improve production efficiency, if the false alarm problem is not solved, the enterprises will choose to shut down the automatic alarm system and then conduct manual monitoring, which reduces the prevention capabilities of production safety. Summary of the invention
[0007] In view of this, the present invention aims to propose an intelligent management platform for industrial production safety, so as to realize effective safety protection efficiently and conveniently, and is suitable for use by small industrial enterprises.
[0008] To achieve the above object, the technical solution of the present invention is achieved as follows:
[0009] An intelligent management platform for industrial production safety, including a real-time monitoring module, a risk assessment module, an operation permit and process management module, a data analysis and decision-making module, an emergency plan module, a fault maintenance module, an early warning module and a platform display module;
[0010] The risk assessment module includes a primary risk module, a secondary risk module and a tertiary risk module with decreasing risk levels;
[0011] The real-time monitoring module transmits the collected data to the risk assessment module, the fault maintenance module and the data analysis and decision-making module;
[0012] The operation permission and process management module is used to store the monitoring data of the real-time monitoring module corresponding to the operation equipment, and compare it with the pre-set normal operation judgment conditions, and apply and approve the real-time monitoring module operation online;
[0013] The data analysis and decision-making module is used to summarize and analyze various safety data of the primary risk module and the work permit and process management module, and provide the analysis results to the decision-making layer for decision-making;
[0014] The emergency plan module includes a production emergency plan module and an accident emergency plan module. The production emergency plan module is used to handle emergency events in the production equipment area, and the accident emergency plan module is used to handle enterprise accidents.
[0015] The first-level risk module is connected to the early warning module by electrical signals.
[0016] Further, the production emergency plan module includes a production emergency mechanical protection device, a production emergency adjustment device and a production emergency information feedback unit;
[0017] The production emergency mechanical protection device includes a power-operated protection device, a self-closing protection device, and an emergency manual operation device;
[0018] The production emergency adjustment device is used to adjust the parameters of the equipment at the corresponding position and record the adjustment parameter data;
[0019] The production emergency information feedback unit transmits the parameter data to the data analysis and decision-making module.
[0020] Furthermore, the real-time monitoring module includes a major hazard source monitoring module, an intermediate operation equipment monitoring module, a low-level operation equipment monitoring module and other monitoring modules;
[0021] The major hazard source monitoring is used to monitor the identified major hazard sources and record and store the monitoring results;
[0022] The major hazard source monitoring includes visual monitoring equipment, a first sensor component for monitoring environmental parameters, and a second sensor component for monitoring key equipment.
[0023] Further, the intermediate operation equipment monitoring module includes a third sensor assembly disposed at a preset position of the calibration equipment;
[0024] The third sensor assembly includes a voiceprint sensor, a temperature sensor, and a wind speed sensor located at a main position of the calibration device;
[0025] The third sensor component is signal-connected to the fault maintenance module and the data analysis and decision-making module.
[0026] Furthermore, the operation permission and process management module also includes an operation data storage module, an operation process judgment module, an operation data analysis module, an operation adjustment module and a process management module;
[0027] The operation data storage module is used to store the data of the real-time monitoring module and transmit it to the operation process judgment module;
[0028] The operation process judgment module is provided with predetermined equipment data, and judgment is made by comparing the stored data with the predetermined equipment data;
[0029] The operation data analysis module is used to receive the judgment result of the operation judgment module, transmit the judgment result to the process management module and the data analysis and decision module, and the process management module makes a decision on starting and stopping the operation;
[0030] The operation adjustment module is used to drive the adjustment of equipment parameters at the fault location.
[0031] Furthermore, the operation process judgment module also includes a graphic generation module, which is used to generate a general view of the unit, a single-value bar graph, a multi-value bar graph, and a waveform graph;
[0032] The unit overview diagram, single-value bar graph, multi-value bar graph, and waveform graph are all displayed on the platform display module.
[0033] Furthermore, the early warning module includes a database and an emergency response unit;
[0034] The database is used to receive the real-time detection module data, identify the alarm information, and send the information of the emergency response unit to relevant personnel;
[0035] The emergency response unit is used to control the alarm light and the on and off of the main power supply.
[0036] Furthermore, step one also includes a preparation process, in which the collection end of the real-time monitoring module is arranged at a compressor in a machining workshop, a power source of an equipment, or a power output end of a machine tool;
[0037] The collection end of the real-time monitoring module is also arranged at the gas pressure tank, the welding machine and the welding platform in the welding workshop;
[0038] The acquisition end of the real-time monitoring module is also arranged at the power source of the equipment in the heat treatment workshop, the heat treatment process container, and the workshop ventilation port;
[0039] The collection end of the real-time monitoring module is also arranged in the storage workshop, the transportation channel, the workshop electric control box and the office power supply area.
[0040] Compared with the prior art, the present invention has the following advantages:
[0041] The intelligent management platform for industrial production safety described in the present invention collects data from various locations within the enterprise by setting up a real-time monitoring module, sends abnormal data in a graded manner through a risk assessment module, starts an early warning module to issue an early warning based on the situation of the first-level risk module, and the operation permit and process management module compares the received abnormal data with the normal operation judgment conditions, and applies for and approves the operation online to decide whether to continue the operation based on the comparison result, thereby effectively avoiding losses caused by downtime due to abnormal events in non-production areas, and being able to quickly decide to shut down operations in production area operations. This saves the steps of data analysis and decision-making, and taking measures after the emergency plan is formed in the prior art, and improves the processing efficiency of emergency resolution.
[0042] Furthermore, the present invention does not need to set up too much data calculation, but uses simple data judgment and comparison with preset data as the basis to reduce the system computing power, which significantly reduces the investment cost of the intelligent management platform. It is suitable for use by small and medium-sized enterprises, and can effectively and timely carry out targeted processing of more dangerous production areas to meet the production safety requirements of enterprises.
[0043] In addition, due to the setting of the first-level risk module, the second-level risk module and the third-level risk module, different measures are taken for different risk levels. The measures of the first-level risk module need to be discovered and alarmed immediately to improve the awareness of operators. Combined with the judgment of the work permit and process management modules, the source of the accident can be clearly understood, avoiding the occurrence of production accidents due to negligence, and also reducing the production stoppage caused by non-production accidents.
[0044] In addition, by setting up a job adjustment module in the job permit and process management module, it is possible to monitor whether the fault has been eliminated or alleviated after adjustments have been made in the fault area, thereby meeting the need for minor faults without stopping production and improving the use effect of the management platform.
[0045] Another object of the present invention is to provide a management method for an industrial production safety intelligent management platform, the management method comprising the following steps:
[0046] Step 1: Monitoring: The real-time monitoring module collects and monitors real-time data of factory areas and equipment;
[0047] Step 2: Determine whether the data is abnormal. If it is abnormal, proceed to step 3. If it is not abnormal, continue to step 1.
[0048] Step 3: evaluate, conduct risk assessment on abnormal data, and send the abnormal data to the corresponding risk level module;
[0049] Step 4: Allocation: After receiving the abnormal data, the primary risk module sends it to the work permit and process management module and the data analysis and decision-making module;
[0050] The operation permit and process management module compares the data to determine whether the current operation is abnormal. If the operation is abnormal, the determination result and the abnormal data are sent to the data analysis and decision module. If the current operation is normal, the determination result is sent to the operation permit and process management module, and the operation permit and process management module makes a decision to continue to execute the operation permit and continuously monitors the abnormal data.
[0051] The secondary risk module sends the received abnormal data to the operation permission and process management module;
[0052] The third-level risk module sends the received abnormal data to the fault maintenance module for on-site maintenance;
[0053] Step 5: After receiving the abnormal data, the data analysis and decision-making module analyzes it, identifies major risks, activates the early warning module to issue an early warning, and sends the abnormal data to the emergency plan module;
[0054] Step 6: The emergency plan module starts the production emergency plan module according to the data analysis results. The production emergency plan module makes corresponding fault adjustments according to the corresponding abnormal area, and judges whether there are still abnormal conditions in the operation area after the adjustment. If the operation is abnormal, the adjustment result is sent to the accident emergency plan module;
[0055] If the adjusted operating area is normal, the judgment result is sent to the emergency plan module, and the emergency plan module sends the normal result to the fault maintenance module for on-site maintenance.
[0056] Furthermore, step one also includes a preparation process, in which the collection end of the real-time monitoring module is arranged at a compressor in a machining workshop, a power source of an equipment, or a power output end of a machine tool;
[0057] The collection end of the real-time monitoring module is also arranged at the gas pressure tank, the welding machine and the welding platform in the welding workshop;
[0058] The acquisition end of the real-time monitoring module is also arranged at the power source of the equipment in the heat treatment workshop, the heat treatment process container, and the workshop ventilation port;
[0059] The collection end of the real-time monitoring module is also arranged in the storage workshop, the transportation channel, the workshop electric control box and the office power supply area.
[0060] The management method of the industrial production safety intelligent management platform of the present invention performs real-time monitoring of the factory area and each equipment through a real-time monitoring module, and classifies the monitored abnormal data through a risk assessment module, and obtains different processing measures through the classification of different risk levels, thereby realizing multi-level management of production safety and taking into account both production and safety needs.
[0061] In addition, the processing steps for the first-level risk module and the second-level risk module are to first compare and analyze the failures of the production equipment through the work permit and process management module, then adjust the parameters of the fault source, and once again filter out minor equipment failures. For abnormalities that still exist after adjustment, the work permit and process management module will send the analysis results to the data analysis and decision-making module, and the data analysis and decision-making module will determine whether to issue an alarm and how to adopt the emergency plan through judgment and analysis. The data analysis and decision-making module will transmit the analysis results to the emergency plan module. After the emergency plan finds the same emergency plan as the analysis result from the predetermined plan, it will be sent to the production emergency plan module for implementation. If no abnormality is encountered through implementation, the accident emergency plan will be activated for upgrade processing. BRIEF DESCRIPTION OF THE DRAWINGS
[0062] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings:
[0063] Figure 1 This is a flow chart of the intelligent management platform for industrial production safety according to an embodiment of the present invention;
[0064] Figure 2This is a composition framework diagram of the real-time monitoring module according to an embodiment of the present invention;
[0065] Figure 3 This is a composition framework diagram of the production emergency plan module according to an embodiment of the present invention;
[0066] Figure 4 This is a composition framework diagram of the work permit and process management module described in an embodiment of the present invention. DETAILED DESCRIPTION
[0067] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.
[0068] In the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper", "lower", "inner", "back", etc. are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.
[0069] In addition, in the description of the present invention, unless otherwise clearly defined, the terms "installed", "connected", "connected", and "connector" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood in combination with specific circumstances.
[0070] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.
[0071] This embodiment relates to an intelligent management platform for industrial production safety. Figure 1 As shown in FIG. 1 , the platform includes a real-time monitoring module, a risk assessment module, an operation permit and process management module, a data analysis and decision-making module, an emergency plan module, a fault maintenance module, an early warning module, and a platform display module. The risk assessment module includes a first-level risk module, a second-level risk module, and a third-level risk module, with the risk levels decreasing in sequence.
[0072] Among them, the real-time monitoring module transmits the collected data to the risk assessment module, the fault maintenance module, and the data analysis and decision-making module. The operation permit and process management module is used to store the monitoring data corresponding to the operation equipment of the real-time monitoring module, and compare it with the pre-set normal operation judgment conditions, as well as to apply and approve the real-time monitoring module operations online. The data analysis and decision-making module is used to summarize and analyze various safety data of the first-level risk module and the operation permit and process management module, and provide the analysis results to the decision-making layer for decision-making;
[0073] In addition, the emergency plan module includes a production emergency plan module and an accident emergency plan module. The production emergency plan module is used to handle emergency events in the production equipment area, and the accident emergency plan module is used to handle enterprise accidents. The first-level risk module is connected to the early warning module by electrical signals.
[0074] The intelligent management platform for industrial production safety described in this embodiment collects data from various locations within the enterprise by setting up a real-time monitoring module, sends abnormal data in a graded manner through a risk assessment module, and starts an early warning module to issue an early warning based on the situation of the first-level risk module. The operation permit and process management module compares the received abnormal data with the normal operation judgment conditions, and applies for and approves the operation online to decide whether to continue the operation based on the comparison results, thereby effectively avoiding losses caused by downtime due to abnormal events in non-production areas, and being able to quickly decide to shut down operations in production area operations. This saves the steps of data analysis and decision-making, and taking measures after the emergency plan is formed in the prior art, and improves the processing efficiency of emergency resolution.
[0075] Furthermore, the present invention does not need to set up too much data calculation, but uses simple data judgment and comparison with preset data as the basis to reduce the system computing power, which significantly reduces the investment cost of the intelligent management platform. It is suitable for use by small and medium-sized enterprises, and can effectively and timely carry out targeted processing of more dangerous production areas to meet the production safety requirements of enterprises.
[0076] In addition, due to the setting of the first-level risk module, the second-level risk module and the third-level risk module, different measures are taken for different risk levels. The measures of the first-level risk module need to be discovered and alarmed immediately to improve the awareness of operators. Combined with the judgment of the work permit and process management modules, the source of the accident can be clearly understood, avoiding the occurrence of production accidents due to negligence, and also reducing the production stoppage caused by non-production accidents.
[0077] like Figure 3As shown, the production emergency plan module includes a production emergency mechanical protection device, a production emergency adjustment device and a production emergency information feedback unit. The production emergency mechanical protection device includes a power-operated protection device, a self-closing protection device, and an emergency manual operation device. The production emergency adjustment device is used to adjust the parameters of the corresponding position equipment and record the adjustment parameter data. The production emergency information feedback unit transmits the parameter data to the data analysis and decision module.
[0078] Common types of power-operated guards include automatic doors and telescopic railings, which can be opened and closed automatically by electricity, air pressure or gravity to ensure the safety of personnel entering and leaving. Self-closing guards rely on the operation of machine parts, workpieces or machine fixture components to operate. For example, when a workpiece enters or leaves the opening of the device, the guard will automatically open or close. This device is usually used for the entrance and exit of machines or equipment to ensure that personnel do not come into contact with dangerous areas during operation. Emergency manual operating devices include emergency switches, emergency pull ropes, emergency pedals, etc.
[0079] like Figure 2 As shown, the real-time monitoring module includes a major hazard source monitoring module, an intermediate operation equipment monitoring module, a low-level operation equipment monitoring module and other monitoring modules. Major hazard source monitoring is used to monitor the identified major hazard sources and record and store the monitoring results. Major hazard source monitoring includes visual monitoring equipment, a first sensor component for monitoring environmental parameters, and a second sensor component for monitoring key equipment.
[0080] The intermediate operation equipment monitoring module includes a third sensor assembly arranged at a preset position of the calibration equipment. The third sensor assembly includes a voiceprint sensor, a temperature sensor and a wind speed sensor arranged at a main position of the calibration equipment. The third sensor assembly is signal-connected to the fault maintenance module and the data analysis and decision module.
[0081] like Figure 4 As shown, the operation permission and process management module also includes an operation data storage module, an operation process judgment module, an operation data analysis module, and a process management module. The operation data storage module is used to store the data of the real-time monitoring module and transmit it to the operation process judgment module. The operation process judgment module is provided with predetermined equipment data, and the judgment is made by comparing the stored data with the predetermined equipment data. The operation data analysis module is used to receive the judgment result of the operation judgment module, and transmit the judgment result to the process management module and the data analysis and decision module. The process management module makes a decision on starting and stopping the operation.
[0082] More specifically, the operation process judgment module also includes a graphics generation module, which is used to generate a general view of the unit, a single-value bar graph, a multi-value bar graph, and a waveform graph. The general view of the unit, the single-value bar graph, the multi-value bar graph, and the waveform graph are all displayed on the platform display module. The general view of the unit shows the overall appearance of the unit, which can understand the model, rotor support method, bearing position, operating speed, etc., mainly to check the position and position number of the probe. The single-value bar graph displays the real-time vibration value more vividly and intuitively, and the low-alarm and high-alarm alarm values and speed can be known. The multi-value bar graph displays the real-time frequency value and the vibration value of each main vibration component, which can roughly understand whether the unit is operating normally.
[0083] Furthermore, the waveform diagram includes time domain waveform diagram and frequency domain waveform diagram. The time domain waveform diagram shows the relationship between vibration parameters (displacement, velocity, acceleration) and time. The frequency domain waveform diagram shows the frequency distribution of vibration parameters, that is, the spectrum diagram.
[0084] Common waveforms corresponding to faults are as follows:
[0085] ① The waveform under normal operation is approximately a sine wave because the power frequency is dominant.
[0086] ② When there is dynamic imbalance, it is an approximate equal-amplitude sine wave.
[0087] ③ When the alignment is poor, the wave peak doubles, and the waveform is smooth, stable and repeatable.
[0088] ④ During friction, there are many peaks, the waveform is rough, unstable, or there is clipping.
[0089] ⑤ When the oil film vortex is severe, because it is close to half frequency, the amplitude interval is somewhat regular.
[0090] ⑥ During impact vibration, a waveform with a protrusion of less than one cycle and then attenuation appears on the through-frequency waveform.
[0091] ⑦ When false signals interfere, the waveform changes dramatically and even becomes a straight line.
[0092] In this embodiment, a graphic production module is set in the operation process judgment module to observe the overall picture of the unit, and the vibration value of the equipment can be intuitively seen through single-value bar graphs and multi-value bar graphs. The waveform graph can make the analysis of the equipment more accurate, thereby improving the accuracy of the operation process judgment, and the above-mentioned graphics can be displayed on the screen or the display device of the manager through the platform display module, thereby increasing the visualization of information.
[0093] Preferably, the early warning module includes a database and an emergency response unit. The database is used to receive real-time detection module data, identify alarm information, and send the information of the emergency response unit to relevant personnel. The emergency response unit is used to control the alarm light and the on and off of the main power supply. Send information
[0094] In addition, the application scenario architecture of the industrial production safety intelligent management platform of this embodiment includes the following parts:
[0095] Front-end application: including PC management platform, mobile APP, etc., providing customized interfaces for different roles such as managers, operators, safety supervisors, etc., to realize functions such as data viewing, task assignment, and alarm reception.
[0096] Data collection layer: Through IoT devices, sensors, etc., the physical world and the digital world are connected to obtain field data in real time.
[0097] Data processing and analysis layer: Use cloud computing and big data analysis technologies to clean, integrate, and analyze the collected data to form valuable information and insights.
[0098] Business logic layer: Design algorithm models based on business needs to implement risk prediction, intelligent early warning, decision support and other functions.
[0099] Backend management system: including functions such as user management, authority management, system configuration, etc., to ensure the stable operation of the system and data security.
[0100] Integration interface layer: Integrate with the company's existing ERP, CRM and other systems to achieve seamless connection of data sharing and business processes.
[0101] This embodiment also relates to a management method of an industrial production safety intelligent management platform, such as Figure 1 As shown, the method comprises the following steps:
[0102] Step 1: Monitoring: The real-time monitoring module collects and monitors real-time data of factory areas and equipment;
[0103] Step 2: Determine whether the data is abnormal. If it is abnormal, proceed to step 3. If it is not abnormal, continue to step 1.
[0104] Step 3: Evaluation: Conduct risk assessment on abnormal data and send the abnormal data to the corresponding risk level module;
[0105] Step 4: Allocation: After receiving the abnormal data, the first-level risk module sends it to the work permit and process management module and the data analysis and decision-making module;
[0106] The operation permit and process management module compares the data to determine whether the current operation is abnormal. If the operation is abnormal, the judgment result and abnormal data are sent to the data analysis and decision-making module; if the current operation is normal, the judgment result is sent to the operation permit and process management module, and the operation permit and process management module makes a decision to continue to execute the operation permit and continuously monitors the abnormal data;
[0107] The secondary risk module sends the received abnormal data to the work permit and process management module;
[0108] The third-level risk module sends the received abnormal data to the fault maintenance module for on-site maintenance;
[0109] Step 5: After receiving the abnormal data, the data analysis and decision-making module analyzes it, identifies major risks, activates the early warning module to issue an early warning, and sends the abnormal data to the emergency plan module;
[0110] Step 6: The emergency plan module starts the production emergency plan module according to the data analysis results. The production emergency plan module makes corresponding fault adjustments according to the corresponding abnormal area, and after the adjustment, it determines whether there are still abnormal conditions in the operation area. If the operation is abnormal, the adjustment result is sent to the accident emergency plan module;
[0111] If the operating area is normal after adjustment, the judgment result will be sent to the emergency plan module, and the emergency plan module will send the normal result to the fault maintenance module for on-site maintenance.
[0112] Furthermore, step one also includes arranging a preparation process, in which the collection end of the real-time monitoring module is set at the compressor, the equipment power source, and the machine tool power output end of the machining workshop. The collection end of the real-time monitoring module is also set at the gas pressure tank, the welding machine, and the welding platform in the welding workshop; the collection end of the real-time monitoring module is also set at the equipment power source, the heat treatment process container, and the workshop vent in the heat treatment workshop. The collection end of the real-time monitoring module is also set in the storage workshop, the transportation channel, the workshop electric control box, and the office power area.
[0113] The management method of the industrial production safety intelligent management platform of the present invention performs real-time monitoring of the factory area and each equipment through a real-time monitoring module, and classifies the monitored abnormal data through a risk assessment module, and obtains different processing measures through the classification of different risk levels, thereby realizing multi-level management of production safety and taking into account both production and safety needs.
[0114] In addition, the processing steps for the first-level risk module and the second-level risk module are to first compare and analyze the failures of the production equipment through the work permit and process management module, then adjust the parameters of the fault source, and once again filter out minor equipment failures. For abnormalities that still exist after adjustment, the work permit and process management module will send the analysis results to the data analysis and decision-making module, and the data analysis and decision-making module will determine whether to issue an alarm and how to adopt the emergency plan through judgment and analysis. The data analysis and decision-making module will transmit the analysis results to the emergency plan module. After the emergency plan finds the same emergency plan as the analysis result from the predetermined plan, it will be sent to the production emergency plan module for implementation. If no abnormality is encountered through implementation, the accident emergency plan will be activated for upgrade processing.
[0115] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims
1. An intelligent management platform for industrial production safety, characterized by: It includes real-time monitoring module, risk assessment module, operation permit and process management module, data analysis and decision-making module, emergency plan module, fault maintenance module, early warning module and platform display module; The risk assessment module includes a primary risk module, a secondary risk module and a tertiary risk module with decreasing risk levels; The real-time monitoring module transmits the collected data to the risk assessment module, the fault maintenance module and the data analysis and decision-making module; The operation permission and process management module is used to store the monitoring data of the real-time monitoring module corresponding to the operation equipment, and compare it with the pre-set normal operation judgment conditions, and apply and approve the real-time monitoring module operation online; The data analysis and decision-making module is used to summarize and analyze various safety data of the primary risk module and the work permit and process management module, and provide the analysis results to the decision-making layer for decision-making; The emergency plan module includes a production emergency plan module and an accident emergency plan module. The production emergency plan module is used to handle the emergency events in the production equipment area, and the accident emergency plan module is used to handle the enterprise accidents. The first-level risk module is connected to the early warning module by electrical signals.
2. The intelligent management platform for industrial production safety according to claim 1 is characterized by: The production emergency plan module includes a production emergency mechanical protection device, a production emergency adjustment device and a production emergency information feedback unit; The production emergency mechanical protection device includes a power-operated protection device, a self-closing protection device, and an emergency manual operation device; The production emergency adjustment device is used to adjust the parameters of the equipment at the corresponding position and record the adjustment parameter data; The production emergency information feedback unit transmits the parameter data to the data analysis and decision-making module.
3. The intelligent management platform for industrial production safety according to claim 2 is characterized by: The real-time monitoring module includes a major hazard source monitoring module, an intermediate operation equipment monitoring module, a low-level operation equipment monitoring module and other monitoring modules; The major hazard source monitoring is used to monitor the identified major hazard sources and record and store the monitoring results; The major hazard source monitoring includes visual monitoring equipment, a first sensor component for monitoring environmental parameters, and a second sensor component for monitoring key equipment.
4. The intelligent management platform for industrial production safety according to claim 3 is characterized by: The intermediate operation equipment monitoring module includes a third sensor assembly disposed at a preset position of the calibration equipment; The third sensor assembly includes a voiceprint sensor, a temperature sensor, and a wind speed sensor located at a main position of the calibration device; The third sensor component is signal-connected to the fault maintenance module and the data analysis and decision-making module.
5. The intelligent management platform for industrial production safety according to claim 4 is characterized by: The operation permission and process management module also includes an operation data storage module, an operation process judgment module, an operation data analysis module, an operation adjustment module and a process management module; The operation data storage module is used to store the data of the real-time monitoring module and transmit it to the operation process judgment module; The operation process judgment module is provided with predetermined equipment data, and judgment is made by comparing the stored data with the predetermined equipment data; The operation data analysis module is used to receive the judgment result of the operation judgment module, transmit the judgment result to the process management module and the data analysis and decision module, and the process management module makes a decision on starting and stopping the operation; The operation adjustment module is used to drive the adjustment of equipment parameters at the fault location.
6. The intelligent management platform for industrial production safety according to claim 5 is characterized by: The operation process judgment module also includes a graphic generation module, which is used to generate a general picture of the unit, a single-value bar graph, a multi-value bar graph, and a waveform graph; The unit overview diagram, single-value bar graph, multi-value bar graph, and waveform graph are all displayed on the platform display module.
7. The intelligent management platform for industrial production safety according to claim 5 is characterized by: The early warning module includes a database and an emergency response unit; The database is used to receive the real-time detection module data, identify the alarm information, and send the information of the emergency response unit to relevant personnel; The emergency response unit is used to control the alarm light and the on and off of the main power supply.
8. A management method for an industrial production safety intelligent management platform, characterized in that: Step 1: Monitoring: The real-time monitoring module collects and monitors real-time data of factory areas and equipment; Step 2: Determine whether the data is abnormal. If it is abnormal, proceed to step 3. If it is not abnormal, continue to step 1. Step 3: evaluate, conduct risk assessment on abnormal data, and send the abnormal data to the corresponding risk level module; Step 4: Allocation: After receiving the abnormal data, the primary risk module sends it to the work permit and process management module and the data analysis and decision-making module; The operation permission and process management module compares the data to determine whether the current operation is abnormal. If the operation is abnormal, the determination result and abnormal data are sent to the data analysis and decision module; If the current operation is normal, the judgment result is sent to the operation permit and process management module, and the operation permit and process management module makes a decision to continue to execute the operation permit and continuously monitors the abnormal data; The secondary risk module sends the received abnormal data to the operation permission and process management module; The third-level risk module sends the received abnormal data to the fault maintenance module for on-site maintenance; Step 5: After receiving the abnormal data, the data analysis and decision-making module analyzes it, identifies major risks, activates the early warning module to issue an early warning, and sends the abnormal data to the emergency plan module; Step 6: The emergency plan module starts the production emergency plan module according to the data analysis results. The production emergency plan module makes corresponding fault adjustments according to the corresponding abnormal area, and judges whether there are still abnormal conditions in the operation area after the adjustment. If the operation is abnormal, the adjustment result is sent to the accident emergency plan module; If the adjusted operating area is normal, the judgment result is sent to the emergency plan module, and the emergency plan module sends the normal result to the fault maintenance module for on-site maintenance.
9. The management method of the industrial production safety intelligent management platform according to claim 8 is characterized by: Step one also includes a preparation process, in which the collection end of the real-time monitoring module is arranged at the compressor of the machining workshop, the power source of the equipment, and the power output end of the machine tool; The collection end of the real-time monitoring module is also arranged at the gas pressure tank, the welding machine and the welding platform in the welding workshop; The acquisition end of the real-time monitoring module is also arranged at the power source of the equipment in the heat treatment workshop, the heat treatment process container, and the workshop ventilation port; The collection end of the real-time monitoring module is also arranged in the storage workshop, the transportation channel, the workshop electric control box and the office power supply area.
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CN120841121A