Enterprise production safety risk intelligent management and control system and method

Abstract

The invention discloses an enterprise production safety risk intelligent management and control system and method, and the system comprises a hazard source online monitoring module, a data interaction module, a risk assessment module and a user interaction module, and a data collection node comprises a sensor module which is used for collecting technological parameter physical quantity data of a hazard source unit; the signal conditioning module is used for sequentially preprocessing the output signals of the sensor module; and a microprocessor and a ZigBee communication module. According to the application, a high-precision sensor module and a signal conditioning technology are integrated, real-time and accurate acquisition of key process parameters of a production field is realized, a flexible and extensible monitoring network is constructed through ZigBee wireless communication, and dangerous sources are fully covered and monitored. And meanwhile, the integrated risk assessment module interacts with a visual user, and a risk assessment strategy is dynamically adjusted, so that the intelligent management level of enterprise safety production and the adaptability and flexibility of the system are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of production safety risk control, and in particular to an intelligent management and control system and method for enterprise production safety risks. Background Art

[0002] In the current industrial production environment, safety management is a key link to ensure the smooth progress of production activities, protect the lives of personnel and reduce property losses. With the expansion of industrial scale and the increase in production complexity, the types and number of hazardous sources at the production site have also increased, including but not limited to high-temperature and high-pressure equipment, flammable and explosive substances, toxic and harmful gases, mechanical moving parts, etc. Once these hazardous sources are out of control, they may cause serious accidents such as fire, explosion, poisoning, mechanical injury, etc., posing a huge threat to production safety.

[0003] With the rapid development of technologies such as the Internet of Things, big data, and artificial intelligence, intelligent management and control systems have gradually become an important means to improve the level of industrial production safety management. The current intelligent management and control system mainly realizes data collection and analysis of hazardous sources on the production site through integrated sensors and artificial intelligence risk assessment. For example, the Chinese invention patent with application number 2021113923541 discloses a risk assessment method and system for hazardous chemical production enterprises. The system uses temperature sensors, gas sensors, humidity sensors, pressure sensors, liquid level sensors, speed sensors, thermal sensors and other types of Internet of Things devices to monitor and collect data in real time during the production and operation of hazardous chemicals to obtain monitoring data. Due to the complex and changeable environment of the production site, sensors are easily affected by various interferences and noises when collecting data, resulting in reduced data accuracy or even distortion. In addition, with the increase in the amount of collected data, how to process and analyze these huge data, extract useful information, and realize data interoperability and sharing are issues that must be considered when designing intelligent management and control systems.

[0004] In view of the above situation, the present invention aims to provide a new solution to solve this problem. Summary of the invention

[0005] In view of the above situation, in order to overcome the defects of the prior art, the purpose of the present invention is to provide an intelligent management and control system and method for enterprise production safety risks.

[0006] The technical solution is: an intelligent management and control system for enterprise production safety risks, including:

[0007] The hazard source online monitoring module is used to collect the process parameter data of the hazard sources at the production site in real time and form an independent data collection node in each hazard source unit;

[0008] A data interaction module, used to receive data from the data collection nodes, and perform centralized processing, storage and forwarding;

[0009] a risk assessment module, configured to receive the data forwarded by the data interaction module, and use an algorithm to perform a real-time assessment of the safety risk of each hazardous source unit based on the data provided by the data interaction module; and

[0010] A user interaction module, used to display the assessment results of the risk assessment module;

[0011] Wherein, the data collection node includes:

[0012] A sensor module, used for collecting physical quantity data of process parameters of the hazardous source unit;

[0013] A signal conditioning module, used for pre-processing the output signals of the sensor modules in sequence;

[0014] A microprocessor, used for receiving the signal preprocessed by the signal conditioning module and performing internal data processing and communication control;

[0015] The ZigBee communication module is used to send the data processed by the microprocessor to the data interaction module.

[0016] Preferably, the signal conditioning module includes:

[0017] A front noise reduction unit is used to reduce the noise level in the sensor signal to parse out the useful detection signal;

[0018] An amplitude stabilization unit, used for performing a stabilization adjustment process on the detection signal;

[0019] A signal shaping unit, used for performing comparative shaping processing on the stabilized signal to facilitate subsequent digital processing by the microprocessor; and

[0020] The sampling feedback unit is used to set a sampling point at the output end of the signal shaping unit and introduce a high impedance feedback loop at the sampling point to adjust the overall stability of the circuit.

[0021] Preferably, the pre-noise reduction unit includes an operational amplifier U1, the in-phase input terminal of the operational amplifier U1 is connected to the resistor R1, one end of the capacitor C1 and the signal output terminal of the sensor module through the resistor R2, the other end of the resistor R1 and the capacitor C1 are grounded, the inverting input terminal of the operational amplifier U1 is connected to the resistor R3, the resistor R4 and one end of the capacitor C2, the other end of the resistor R4 is connected to the other end of the resistor R3 and the output terminal of the operational amplifier U1 through the capacitor C3, and the other end of the capacitor C2 is grounded.

[0022] Preferably, the amplitude stabilization unit includes a field effect transistor Q1, the gate of the field effect transistor Q1 is connected to the output end of the operational amplifier U1, the source of the field effect transistor Q1 is connected to the power supply VCC, and the drain of the field effect transistor Q1 is grounded through a parallel resistor R5 and a capacitor C4.

[0023] Preferably, the signal shaping unit includes an operational amplifier U2, a non-inverting input terminal of the operational amplifier U2 is connected to the drain of the field effect transistor Q1 and one end of the resistor R10, an inverting input terminal of the operational amplifier U2 is connected to the power supply VCC through a resistor R6, an output terminal of the operational amplifier U2 is connected to the input terminal of the sampling feedback unit, one end of the resistor R8 and the microprocessor through a resistor R7, and the other end of the resistor R8 is grounded.

[0024] Preferably, the sampling feedback unit includes a voltage follower U3, the in-phase input end of the voltage follower U3 is connected to one end of the resistor R8, the output end of the voltage follower U3 is connected to the resistor R11, one end of the capacitor C5 and the other end of the resistor R10 through the resistor R9, and the other end of the resistor R11 and the capacitor C5 are grounded.

[0025] Preferably, the microprocessor is an STM32F103 series microcontroller from STMicroelectronics.

[0026] Preferably, the data interaction module includes:

[0027] A data receiver, used to receive and process data from each data collection node;

[0028] A data storage device, used to store the data processed by the data receiver into a database for subsequent analysis and query; and

[0029] A communication interface is used to forward the data processed by the data receiver to the risk assessment module.

[0030] Preferably, the data receiver uses an STM32WB series wireless microcontroller from STMicroelectronics.

[0031] A method for intelligent management and control of enterprise production safety risks, comprising the following steps:

[0032] Utilize sensor modules deployed at the production site to collect process parameter data of hazardous source units in real time;

[0033] The collected data is sent to the data interaction module via wireless communication;

[0034] The data interaction module receives, cleans, verifies and preprocesses the data, and stores it in the database;

[0035] The risk assessment module reads real-time data from the database and calculates the comprehensive risk level R of each hazardous source unit by comparing the actual data with the system-set threshold:

[0036]

[0037] Where N is the number of monitored process parameters;

[0038] w i is the weight of the ith parameter, reflecting the importance of this parameter to the overall risk, and

[0039] x i is the actual measured value of the i-th parameter;

[0040] x i_t is the safety threshold of the i-th parameter;

[0041] Based on the risk assessment results and the preset emergency response strategy, the system automatically generates an emergency response plan;

[0042] The user interaction module displays risk assessment results, warning information and emergency response plans to operators in a visual manner and provides a user feedback mechanism.

[0043] Through the above technical solution, the beneficial effects of the present invention are:

[0044] 1. This application deploys sensor modules at the production site, and the system can collect key process parameter data in real time. Combined with the design of the signal conditioning module, it effectively reduces the noise in the sensor signal, improves the accuracy and reliability of the data, and enhances the system's anti-interference ability in complex industrial environments;

[0045] 2. The system uses ZigBee communication module to realize wireless communication between data acquisition nodes and data interaction modules, which improves the flexibility and scalability of the system, and can form a comprehensive monitoring network to achieve comprehensive monitoring of hazardous sources on the production site;

[0046] 3. Use the risk assessment module to conduct real-time analysis on the collected data and generate a risk assessment report. The user interaction module visualizes the assessment results and provides a feedback mechanism, allowing operators to dynamically adjust the risk assessment strategy, thereby enhancing the flexibility and adaptability of the system and comprehensively improving the company's intelligent management and control of production safety risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 A block diagram of the system module structure provided in one embodiment of the present invention.

[0048] Figure 2This is a structural block diagram of a data acquisition node provided by an embodiment of the present invention.

[0049] Figure 3 A circuit schematic diagram of a signal conditioning module provided in one embodiment of the present invention.

[0050] Figure 4 A flow chart of an intelligent management and control method for enterprise production safety risks provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0051] The above and other technical contents, features and effects of the present invention are described in detail below with reference to the attached Figure 1 To Attachment Figure 4 The detailed description of the embodiments will clearly show that the structural contents mentioned in the following embodiments are all based on the drawings in the specification.

[0052] Exemplary embodiments of the present invention will be described below with reference to the accompanying drawings.

[0053] like Figure 1 As shown, an intelligent management and control system for enterprise production safety risks includes:

[0054] The hazard source online monitoring module is used to collect the process parameter data of the hazard sources at the production site in real time and form an independent data collection node in each hazard source unit;

[0055] Data interaction module, used to receive data from data collection nodes and perform centralized processing, storage and forwarding;

[0056] A risk assessment module, which is used to receive data forwarded by the data interaction module and use an algorithm to conduct a real-time assessment of the safety risk of each hazardous source unit based on the data provided by the data interaction module; and

[0057] The user interaction module is used to display the assessment results of the risk assessment module.

[0058] In the above, the hazard source online monitoring module serves as the front-end perception layer of the system. It collects the process parameter data of each hazard source unit in real time by deploying various data collection nodes at the production site. The specific data includes but is not limited to key indicators such as temperature, pressure, flow, gas concentration, vibration, etc. In the specific implementation process, Figure 2 As shown, the data collection nodes include:

[0059] Sensor module, used to collect physical quantity data of process parameters of hazardous source units;

[0060] A signal conditioning module, used to pre-process the output signals of the sensor modules in sequence;

[0061] A microprocessor is used to receive the signal pre-processed by the signal conditioning module and perform internal data processing and communication control;

[0062] The ZigBee communication module is used to send the data processed by the microprocessor to the data interaction module.

[0063] The choice of sensor module depends on the type of hazardous source and specific process parameters to be monitored. Different types of sensors correspond to different monitoring requirements. In order to ensure the anti-interference ability and measurement accuracy of the system and make data collection more accurate and reliable, the signal conditioning module used in this embodiment specifically includes:

[0064] A front noise reduction unit is used to reduce the noise level in the sensor signal to parse out the useful detection signal;

[0065] Amplitude stabilization unit, used for stabilizing and regulating the detection signal;

[0066] A signal shaping unit, used to perform comparative shaping processing on the stabilized signal for subsequent digital processing by a microprocessor; and

[0067] The sampling feedback unit is used to set a sampling point at the output end of the signal shaping unit and introduce a high impedance feedback loop at the sampling point to adjust the overall stability of the circuit.

[0068] In the above, specifically, Figure 3 As shown, the pre-noise reduction unit 10 includes an operational amplifier U1, a non-inverting input terminal of the operational amplifier U1 is connected to the resistor R1, one end of the capacitor C1 and the signal output terminal of the sensor module through the resistor R2, the other end of the resistor R1 and the capacitor C1 are grounded, the inverting input terminal of the operational amplifier U1 is connected to the resistor R3, the resistor R4 and one end of the capacitor C2, the other end of the resistor R4 is connected to the other end of the resistor R3 and the output terminal of the operational amplifier U1 through the capacitor C3, and the other end of the capacitor C2 is grounded.

[0069] Among them, the resistor R1 and the capacitor C1 form a low-pass filter, which is used to preliminarily filter out the high-frequency noise in the sensor signal, and then send it to U1 for signal amplification processing. During the amplification process of U1, the resistor R4 and the capacitor C3 in its negative feedback end form a high-pass filter part, which can ensure that the useless low-frequency components in the signal are effectively filtered out; the resistor R3 and the capacitor C2 form a low-pass filter part, which further ensures that the high-frequency noise in the signal is suppressed. This design enables the pre-noise reduction unit to not only filter out high-frequency noise, but also effectively suppress low-frequency noise, thereby improving the signal-to-noise ratio of the sensor signal.

[0070] The amplitude stabilization unit 20 adjusts the amplitude of the noise-reduced signal. Specifically, Figure 3As shown, the amplitude stabilization unit 20 includes a field effect transistor Q1, the gate of the field effect transistor Q1 is connected to the output end of the operational amplifier U1, the source of the field effect transistor Q1 is connected to the power supply VCC, and the drain of the field effect transistor Q1 is grounded through a parallel resistor R5 and a capacitor C4.

[0071] In the specific working process, the field effect tube Q1 uses its good temperature characteristics to receive the output signal of the front noise reduction unit, and stabilizes the processing through the RC filter composed of resistor R5 and capacitor C4 to eliminate adverse factors such as spikes and glitches in the signal, ensure the stability of the signal amplitude, and help improve the stability and anti-interference ability of the system.

[0072] The signal shaping unit 30 further processes the signal with stable amplitude, specifically, Figure 3 As shown, the signal shaping unit 30 includes an operational amplifier U2, the in-phase input terminal of the operational amplifier U2 is connected to the drain of the field effect transistor Q1 and one end of the resistor R10, the inverting input terminal of the operational amplifier U2 is connected to the power supply VCC through the resistor R6, the output terminal of the operational amplifier U2 is connected to the input terminal of the sampling feedback unit, one end of the resistor R8 and the microprocessor through the resistor R7, and the other end of the resistor R8 is grounded. Among them, U2 compares the input signal with the reference voltage using the comparator principle to ensure that the output signal has a consistent amplitude and shape, so that the signal is more suitable for subsequent digital processing.

[0073] In order to improve the stability and anti-interference ability of the data acquisition node, this embodiment introduces a feedback loop on the high impedance node through the sampling feedback unit 40 to suppress the influence of external interference on the signal. Figure 3 As shown, the sampling feedback unit 40 includes a voltage follower U3, the in-phase input terminal of the voltage follower U3 is connected to one end of the resistor R8, the output terminal of the voltage follower U3 is connected to the resistor R11, one end of the capacitor C5 and the other end of the resistor R10 through the resistor R9, and the other end of the resistor R11 and the capacitor C5 are grounded.

[0074] During the operation of the sampling feedback unit 40, the resistors R7 and R8 shunt the output signal of the operational amplifier U2, which is used to obtain the signal from the signal shaping unit and serve as a sampling point. The voltage follower U3 uses its high input impedance and low output impedance characteristics to follow the voltage of the sampled signal, and then feeds back to the in-phase input terminal of U2 after RC filtering to form a feedback loop. When self-excited interference occurs in the system circuit, or when external interference attempts to affect the signal, the feedback loop can respond quickly and adjust the signal to offset the influence of the interference, thereby improving the linearity of the detection signal, so that the system can maintain good performance under different working conditions, and ensure that the data acquisition node can still accurately collect and transmit data in a complex industrial environment.

[0075] The microprocessor receives the signal pre-processed by the signal conditioning module through its I / O port. When setting it specifically, the microprocessor uses the STM32F103 series microcontroller of STMicroelectronics. This series of microcontrollers has a high-performance ARMCortex-M3 core, which can process data quickly and has a high-precision analog-to-digital converter (ADC) that can convert the signal pre-processed by the signal conditioning module into a digital signal. After completing the data processing, the microcontroller sends the data through the ZigBee communication module. The ZigBee communication module can realize the wireless transmission of the process parameter data of the hazardous source, avoiding the problems of complex wiring and difficult maintenance in the traditional wired transmission method. And the ZigBee communication module can automatically find and join the appropriate network to form a stable communication link. In the hazardous source monitoring area, ZigBee nodes can be flexibly deployed according to actual needs to form a comprehensive monitoring network. Multiple monitoring points can be connected through the ZigBee network to realize multi-point monitoring and linkage control. At the same time, in the hazardous source online monitoring module, the ZigBee communication module can encrypt the transmitted data to prevent the data from being illegally stolen or tampered with, thereby ensuring the security and credibility of the monitoring data.

[0076] The data interaction module receives and processes the data of each data collection node in real time. The specific data interaction modules include:

[0077] A data receiver, used to receive and process data from each data collection node;

[0078] A data storage device for storing the data processed by the data receiver in a database for subsequent analysis and query; and

[0079] The communication interface is used to forward the data processed by the data receiver to the risk assessment module.

[0080] In the specific implementation process, the data receiver uses the STM32WB series wireless microcontroller of STMicroelectronics. The STM32WB series microcontroller uses a high-performance ARM Cortex-M4 core and integrates multiple wireless communication technologies such as Bluetooth Low Energy (BLE) and ZigBee to receive data from various data acquisition nodes. After receiving the data, the STM32WB microcontroller decodes and verifies the data to ensure the integrity and accuracy of the data. Subsequently, the processed data is transferred to the data storage, which is usually a database system for storing the received data records for subsequent analysis and query. Finally, the communication interface function of the STM32WB microcontroller forwards the processed and verified data to the risk assessment module for further security risk analysis and assessment.

[0081] After receiving the data forwarded by the data interaction module, the risk assessment module analyzes the real-time data of each hazardous source unit and evaluates its safety risk level. This module can identify potential risk factors, calculate the safety status of each hazardous source based on the preset safety threshold, and generate a risk assessment report. Subsequently, the user interaction module displays these assessment results to the operator through an intuitive interface, including but not limited to risk level indication, early warning information, historical data trend analysis, etc., so that users can timely understand the safety status of the entire production system and take corresponding preventive or emergency measures when necessary. In addition, the user interaction module may also provide a user feedback mechanism, allowing operators to enter instructions or adjust parameters to achieve dynamic adjustment of risk assessment strategies.

[0082] After introducing the system of the exemplary embodiment of the present application, the following is a reference to Figure 4 , Figure 4 A schematic diagram of a method flow chart for the intelligent management and control system of production safety risks of an enterprise provided in an embodiment of the present application. Figure 4 As shown, the intelligent management and control method of production safety risks of the enterprise includes the following steps:

[0083] Utilize sensor modules deployed at the production site to collect process parameter data of hazardous source units in real time;

[0084] The collected data is sent to the data interaction module via wireless communication;

[0085] The data interaction module receives, cleans, verifies and preprocesses the data, and stores it in the database;

[0086] The risk assessment module reads real-time data from the database and calculates the comprehensive risk level R of each hazardous source unit by comparing the actual data with the system-set threshold:

[0087]

[0088] Where N is the number of monitored process parameters;

[0089] w i is the weight of the ith parameter, reflecting the importance of this parameter to the overall risk, and

[0090] x i is the actual measured value of the i-th parameter;

[0091] x i_t is the safety threshold of the i-th parameter;

[0092] Based on the risk assessment results and the preset emergency response strategy, the system automatically generates an emergency response plan;

[0093] The user interaction module displays risk assessment results, warning information and emergency response plans to operators in a visual manner and provides a user feedback mechanism.

[0094] The above solution achieves comprehensive, efficient and accurate control of production safety risks by real-time monitoring of process parameters of hazardous source units at production sites, combined with intelligent risk assessment and emergency response strategies. This intelligent control method not only improves the company's early warning and response capabilities to potential risks, but also enhances the system's ease of use, interactivity and scalability through the optimized design of data interaction and user interaction modules, providing strong technical support for the company's safe production.

[0095] In summary, this application uses sensor modules deployed at the production site, and the system can collect key process parameter data in real time. Combined with the design of the signal conditioning module, it effectively reduces the noise in the sensor signal, improves the accuracy and reliability of the data, and enhances the system's anti-interference ability in complex industrial environments. The ZigBee communication module is used to achieve wireless communication between the data acquisition node and the data interaction module, which improves the flexibility and scalability of the system, and can form a comprehensive monitoring network to achieve comprehensive monitoring of hazardous sources at the production site. The risk assessment module is used to analyze the collected data in real time, generate a risk assessment report, and display the assessment results in a visual way through the user interaction module and provide a feedback mechanism, allowing operators to dynamically adjust the risk assessment strategy, enhancing the flexibility and adaptability of the system, and comprehensively improving the level of intelligent management and control of enterprise production safety risks.

[0096] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0097] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0098] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0099] The above is a further detailed description of the present invention in combination with a specific implementation method, and it cannot be determined that the specific implementation of the present invention is limited to this; for technical personnel in the technical field to which the present invention belongs and related technical fields, based on the technical solution of the present invention, the expansion and replacement of operating methods and data should all fall within the protection scope of the present invention.

Claims

1. An intelligent management and control system for enterprise production safety risks, characterized in that: include: The hazard source online monitoring module is used to collect the process parameter data of the hazard sources at the production site in real time and form an independent data collection node in each hazard source unit; A data interaction module, used to receive data from the data collection nodes, and perform centralized processing, storage and forwarding; A risk assessment module, used to receive the data forwarded by the data interaction module, and use an algorithm to perform real-time assessment of the safety risk of each hazardous source unit based on the data provided by the data interaction module; as well as A user interaction module, used to display the assessment results of the risk assessment module; Wherein, the data collection node includes: A sensor module, used for collecting physical quantity data of process parameters of the hazardous source unit; A signal conditioning module, used for pre-processing the output signals of the sensor modules in sequence; A microprocessor, used for receiving the signal preprocessed by the signal conditioning module and performing internal data processing and communication control; The ZigBee communication module is used to send the data processed by the microprocessor to the data interaction module.

2. According to claim 1, an intelligent management and control system for enterprise production safety risks is characterized in that: The signal conditioning module comprises: A front noise reduction unit is used to reduce the noise level in the sensor signal to parse out the useful detection signal; An amplitude stabilization unit, used for performing a stabilization adjustment process on the detection signal; A signal shaping unit, used for performing comparative shaping processing on the stabilized signal to facilitate subsequent digital processing by the microprocessor; and The sampling feedback unit is used to set a sampling point at the output end of the signal shaping unit and introduce a high impedance feedback loop at the sampling point to adjust the overall stability of the circuit.

3. According to claim 2, an intelligent management and control system for enterprise production safety risks is characterized in that: The pre-noise reduction unit includes an operational amplifier U1, a non-inverting input end of the operational amplifier U1 is connected to the resistor R1, one end of the capacitor C1 and the signal output end of the sensor module through a resistor R2, the other end of the resistor R1 and the capacitor C1 is grounded, an inverting input end of the operational amplifier U1 is connected to the resistor R3, the resistor R4 and one end of the capacitor C2, the other end of the resistor R4 is connected to the other end of the resistor R3 and the output end of the operational amplifier U1 through the capacitor C3, and the other end of the capacitor C2 is grounded.

4. According to claim 3, an intelligent management and control system for enterprise production safety risks is characterized in that: The amplitude stabilization unit includes a field effect transistor Q1, the gate of the field effect transistor Q1 is connected to the output end of the operational amplifier U1, the source of the field effect transistor Q1 is connected to the power supply VCC, and the drain of the field effect transistor Q1 is grounded through a parallel resistor R5 and a capacitor C4.

5. According to claim 4, an intelligent management and control system for enterprise production safety risks is characterized in that: The signal shaping unit includes an operational amplifier U2, a non-inverting input terminal of the operational amplifier U2 is connected to the drain of the field effect transistor Q1 and one end of the resistor R10, an inverting input terminal of the operational amplifier U2 is connected to the power supply VCC through a resistor R6, an output terminal of the operational amplifier U2 is connected to the input terminal of the sampling feedback unit, one end of the resistor R8 and the microprocessor through a resistor R7, and the other end of the resistor R8 is grounded.

6. According to claim 5, an intelligent management and control system for enterprise production safety risks is characterized in that: The sampling feedback unit includes a voltage follower U3, the in-phase input end of the voltage follower U3 is connected to one end of the resistor R8, the output end of the voltage follower U3 is connected to the resistor R11, one end of the capacitor C5 and the other end of the resistor R10 through the resistor R9, and the other ends of the resistor R11 and the capacitor C5 are grounded.

7. According to claim 6, an intelligent management and control system for enterprise production safety risks is characterized in that: The microprocessor is an STM32F103 series microcontroller from STMicroelectronics.

8. According to claim 1, an intelligent management and control system for enterprise production safety risks is characterized in that: The data interaction module includes: A data receiver, used to receive and process data from each data collection node; A data storage device, used to store the data processed by the data receiver into a database for subsequent analysis and query; and A communication interface is used to forward the data processed by the data receiver to the risk assessment module.

9. According to claim 8, an intelligent management and control system for enterprise production safety risks is characterized in that: The data receiver uses the STM32WB series wireless microcontroller of STMicroelectronics.

10. A method applied to the enterprise production safety risk intelligent management and control system according to any one of claims 1 to 9, characterized in that: The steps include: Utilize sensor modules deployed at the production site to collect process parameter data of hazardous source units in real time; The collected data is sent to the data interaction module via wireless communication; The data interaction module receives, cleans, verifies and preprocesses the data, and stores it in the database; The risk assessment module reads real-time data from the database and calculates the comprehensive risk level R of each hazardous source unit by comparing the actual data with the system-set threshold: Where N is the number of monitored process parameters; w i is the weight of the ith parameter, reflecting the importance of this parameter to the overall risk, and x i is the actual measured value of the i-th parameter; x i_t is the safety threshold of the i-th parameter; Based on the risk assessment results and the preset emergency response strategy, the system automatically generates an emergency response plan; The user interaction module displays risk assessment results, warning information and emergency response plans to operators in a visual manner and provides a user feedback mechanism.

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