Data processing method for production process control

Abstract

The present application provides a data processing method for production process control. The method obtains the environmental monitoring data set of the target production plant through the production environment monitoring sensor cluster, and uploads the environmental monitoring data set to the production environment control cloud platform, and each production equipment in the production equipment cluster reports the equipment operation status to the production environment control cloud platform to generate a production equipment operation status set, so that the production environment control cloud platform uses the preset ventilation volume confirmation model, and determines the target ventilation volume according to the environmental monitoring data set and the production equipment operation status set, and sends the target ventilation volume to the ventilation device to instruct the ventilation device to ventilate the target production plant according to the target ventilation volume, thereby realizing comprehensive intelligent monitoring and regulation of the production environment to adapt to changes in the production environment, and can effectively avoid production interruptions or product quality problems caused by environmental fluctuations.

Description

Technical Field

[0001] The present application relates to data processing technology, and in particular to a data processing method for production process control. Background Art

[0002] In modern industrial production, the stability of the production environment is crucial to ensuring product quality and production efficiency. The production environment is affected by many factors, including temperature, humidity, dust concentration, etc. Fluctuations in these factors may have an adverse effect on the production process. For example, too high a temperature may cause equipment to overheat, too high a humidity may cause corrosion problems, and excessive dust concentration may threaten the health of production personnel and equipment operation. Therefore, how to monitor and control the production environment in real time and accurately has become an important issue in industrial production.

[0003] Traditional production environment monitoring methods often rely on manual inspections and statically preset ventilation systems, which have many shortcomings. First, manual inspections have problems such as poor timeliness, high labor intensity, and easy omissions, making it difficult to achieve continuous and real-time monitoring of the production environment. Second, statically preset ventilation systems cannot dynamically adjust the ventilation volume according to real-time changes in the production environment, often leading to problems such as insufficient or excessive ventilation, which not only affects the quality of the production environment, but also causes energy waste. Summary of the invention

[0004] The present application provides a data processing method for production process control, which is used to achieve comprehensive intelligent monitoring and regulation of the production environment.

[0005] In a first aspect, the present application provides a data processing method for production process control, which is applied to a production process control system, wherein the production process control system comprises: a production environment monitoring sensor cluster, a production equipment cluster, a production environment control cloud platform, and a ventilation device, wherein each production environment monitoring sensor in the production environment monitoring sensor cluster, each production equipment in the production equipment cluster, and the ventilation device are respectively connected to the production environment control cloud platform in communication; the method comprises:

[0006] Acquire an environmental monitoring data set of a target production plant through the production environment monitoring sensor cluster, and upload the environmental monitoring data set to the production environment control cloud platform, wherein the environmental monitoring data set includes multi-dimensional environmental monitoring data;

[0007] Each production device in the production device cluster reports the device operation status to the production environment control cloud platform to generate a production device operation status set;

[0008] The production environment control cloud platform uses a preset ventilation volume confirmation model and determines a target ventilation volume according to the environmental monitoring data set and the production equipment operation status set;

[0009] The production environment control cloud platform sends the target ventilation volume to the ventilation device to instruct the ventilation device to ventilate the target production plant according to the target ventilation volume.

[0010] In the above scheme, by integrating the production environment monitoring sensor cluster, the production equipment cluster, the production environment control cloud platform and the ventilation device, the comprehensive intelligent monitoring and control of the production environment is realized. By real-time monitoring of the multi-dimensional environmental data of the production plant, such as temperature, humidity, dust concentration, etc., and combining the operating status of the production equipment, the required target ventilation volume is determined, thereby realizing precise control of the production environment. By dynamically adjusting the ventilation volume to adapt to changes in the production environment, production interruptions or product quality problems caused by environmental fluctuations can be effectively avoided. Whether the ambient temperature is too high, the humidity is too high or the dust concentration exceeds the standard, it can be handled in time to ensure that the production environment is always in the best state, thereby improving the stability and reliability of the production environment. In addition, by intelligently controlling the ventilation device, it is ensured that the production environment is always in the best production conditions, thereby reducing the uncertainty factors in the production process and improving production efficiency and product quality. In addition, by determining the target ventilation volume based on the monitoring data, unnecessary ventilation energy consumption can be avoided and efficient use of energy can be achieved. At the same time, intelligent management reduces the need for manual intervention and reduces labor costs. In addition, by timely handling environmental problems, equipment failures and downtime caused by environmental problems are reduced, further reducing production costs.

[0011] In addition, when it is detected that environmental parameters exceed the preset threshold, it can respond quickly and take measures such as strengthening ventilation to deal with sudden environmental deterioration. This rapid response and emergency handling capability helps to ensure the continuity and stability of production and reduce production losses caused by environmental problems.

[0012] Optionally, the step of acquiring a set of environmental monitoring data of a target production plant through the production environment monitoring sensor cluster includes:

[0013] Acquiring temperature monitoring data of the target production plant through the temperature sensor in the production environment monitoring sensor cluster;

[0014] Acquiring humidity monitoring data of the target production plant through a humidity sensor in the production environment monitoring sensor cluster;

[0015] Acquire dust concentration monitoring data of the target production plant through a dust concentration sensor in the production environment monitoring sensor cluster, wherein the environmental monitoring data set includes the temperature monitoring data, the humidity monitoring data and the dust concentration monitoring data;

[0016] Correspondingly, each production device in the production device cluster reports the device operation status to the production environment control cloud platform to generate a production device operation status set, including:

[0017] Each production device in the production device cluster acquires a device operating status, where the device operating status includes a device on status and a device off status, to generate the production device operating status set.

[0018] In the above scheme, by explicitly specifying the use of temperature sensors, humidity sensors and dust concentration sensors in the production environment monitoring sensor cluster, the multi-dimensional environmental data of the target production plant can be fully and accurately obtained. The acquisition of these data provides a solid foundation for subsequent environmental analysis and control, and helps to achieve more refined environmental management. Specifically, each production equipment in the production equipment cluster reports its operating status to the production environment control cloud platform, including the equipment on status and the equipment off status. This detailed equipment status monitoring enables the cloud platform to understand the operating status of the production equipment in real time, and provides the possibility to consider the influence of the equipment status when calculating the target ventilation volume, thereby further improving the accuracy and pertinence of ventilation control. In addition, due to the detailed acquisition of environmental monitoring data and production equipment status data, the production environment control cloud platform can consider more influencing factors when using these data to calculate the target ventilation volume, such as the mutual influence between different environmental parameters, the impact of equipment operating status on the environment, etc. This comprehensive data input enables the control algorithm to more accurately reflect the actual situation of the production environment, thereby improving the accuracy and efficiency of ventilation control.

[0019] In addition, through detailed data collection and monitoring, this method can promptly detect and respond to abnormal situations in the production environment. For example, when a certain environmental parameter is detected to exceed the preset threshold, the cloud platform can respond quickly and take corresponding measures (such as adjusting the ventilation volume, issuing early warning alarms, etc.), thereby enhancing the robustness of the entire production process control system and its ability to respond to emergencies. In addition, detailed environmental monitoring data and equipment status data not only provide a basis for current ventilation control, but also provide data support for subsequent decision optimization.

[0020] Optionally, the production environment control cloud platform uses a preset ventilation volume confirmation model and determines a target ventilation volume according to the environmental monitoring data set and the production equipment operation status set, including:

[0021] The production environment control cloud platform determines the target ventilation volume and the dynamic ventilation demand coefficient according to the temperature monitoring data, the humidity monitoring data and the dust concentration monitoring data in the environmental monitoring data set and the production equipment operation status set;

[0022] The production environment control cloud platform determines the target ventilation volume according to the dynamic ventilation demand coefficient and a preset minimum ventilation volume.

[0023] In the above scheme, by introducing the preset ventilation volume confirmation model and combining the real-time environmental monitoring data (including temperature, humidity, dust concentration) and the operating status of the production equipment, the target ventilation volume can be accurately calculated. This comprehensive calculation method based on multiple factors ensures that the setting of the ventilation volume not only meets the actual needs of the production environment, but also avoids unnecessary energy waste. In addition, by considering the operating status of the production equipment (such as the equipment on or off status), the method can dynamically adjust the ventilation demand coefficient, thereby realizing flexible adjustment of the ventilation volume. This dynamic adaptability enables the production process control system to better respond to changes in the production environment and ensure the stability and controllability of the production environment. After determining the dynamic ventilation demand coefficient, combined with the preset minimum ventilation volume, the target ventilation volume is further calculated, which not only helps to maintain the stability of the production environment, but also reduces energy waste and environmental pollution caused by excessive ventilation. By reasonably controlling the ventilation volume, the cloud platform can quickly respond to changes in the production environment and make reasonable ventilation control decisions to ensure the smooth progress of the production process.

[0024] Optionally, before the production environment control cloud platform sends the target ventilation volume to the ventilation device, it also includes:

[0025] The production environment control cloud platform determines the ventilation rate according to the target ventilation volume and the dust concentration monitoring data, and sends the ventilation rate to the ventilation device.

[0026] In the above scheme, after determining the target ventilation volume, the ventilation rate is further calculated based on the dust concentration monitoring data. This step makes the ventilation control more detailed. By considering the key factor of dust concentration, the operating speed of the ventilation device can be adjusted more accurately, thereby more effectively controlling the dust concentration in the production environment and ensuring the health and safety of the production environment and production personnel. By adjusting the ventilation rate according to the dust concentration, unnecessary ventilation energy consumption can be minimized while ensuring that the environment meets the standards. When the dust concentration is low, the ventilation rate can be appropriately reduced to save energy; when the dust concentration is high, the ventilation rate is increased to quickly reduce the dust concentration. This strategy of dynamically adjusting the ventilation rate helps to improve the overall efficiency of the ventilation system.

[0027] It is worth noting that different production links and processes may have different requirements for the production environment. By real-time monitoring and adjusting the ventilation rate according to the dust concentration, the above scheme can better adapt to the needs of different production environments and ensure that the production environment is always kept in the best state. In addition, a reasonable ventilation rate not only helps to control the production environment, but also extends the service life of the ventilation equipment to a certain extent. Too high a ventilation rate may increase equipment wear and energy consumption, while too low a ventilation rate may not meet the needs of the production environment. Moreover, by finely controlling the ventilation rate, the above scheme can further reduce the energy consumption of the ventilation system while ensuring that the production environment meets the standards.

[0028] Optionally, after the production environment control cloud platform sends the target ventilation volume to the ventilation device, the method further includes:

[0029] After the ventilation device performs ventilation operation at the ventilation rate, obtaining a first environment monitoring update data set of the target production plant through the production environment monitoring sensor cluster, and sending the first environment monitoring update data set to the production environment control cloud platform;

[0030] The production environment control cloud platform determines that there is at least one environment monitoring update data in the first environment monitoring update data set that is greater than the corresponding environment monitoring data threshold, then the production environment control cloud platform instructs the ventilation device to ventilate the target production plant at the maximum ventilation rate.

[0031] In the above scheme, after the ventilation device performs preliminary ventilation operation according to the calculated ventilation rate, the production environment monitoring sensor cluster is used again to obtain the latest environmental monitoring data (i.e., the first environmental monitoring update data set), and these data are fed back to the production environment control cloud platform in real time, so as to achieve an instant evaluation of the ventilation effect. This real-time feedback mechanism allows the system to adjust the ventilation strategy according to the latest environmental conditions, thereby improving the ventilation efficiency while ensuring the safety of the production environment and avoiding unnecessary energy waste. When the production environment control cloud platform analyzes the first environmental monitoring update data set, if it is found that any environmental monitoring update data exceeds the preset threshold, it means that the current ventilation effect is not enough to maintain the suitability of the production environment. The system can respond quickly and instruct the ventilation device to ventilate at the maximum ventilation rate. This immediate and powerful emergency response mechanism is crucial for quickly handling sudden environmental deterioration situations, and helps to reduce potential production risks and equipment damage. By continuously monitoring and dynamically adjusting the ventilation volume, the above scheme ensures the stability of the production environment, so that key factors such as temperature, humidity, and dust concentration in the production process are always kept within a reasonable range, thereby ensuring product quality and production efficiency.

[0032] Optionally, after the production environment control cloud platform sends the maximum ventilation rate to the ventilation device, the method further includes:

[0033] After the ventilation operation is performed at the maximum ventilation rate through the ventilation device, a second environment monitoring update data set of the target production plant is obtained through the production environment monitoring sensor cluster, and the second environment monitoring update data set is sent to the production environment control cloud platform;

[0034] If the second temperature monitoring data in the second environment monitoring update data set is greater than a preset environment temperature threshold, and the second humidity monitoring data is greater than a preset environment humidity threshold, the production environment control cloud platform sends a first early warning alarm to the monitoring terminal; or,

[0035] If the second temperature monitoring data in the second environmental monitoring update data set is greater than the preset environmental temperature threshold, and the second dust concentration monitoring data is greater than the preset environmental dust concentration threshold, the production environment control cloud platform issues a second warning alarm to the monitoring terminal, and the second warning alarm level is higher than the first warning alarm.

[0036] In the above scheme, after the ventilation device performs ventilation operation at the maximum ventilation rate, the system obtains the second environmental monitoring update data set again through the production environment monitoring sensor cluster and analyzes the data. This process ensures continuous monitoring of the production environment status and can timely detect potential environmental risks. Then, two different types of early warning alarm mechanisms are introduced, one for the case of temperature and humidity exceeding the standard, and the other for temperature and dust concentration exceeding the standard. This multi-level early warning strategy helps the system to more accurately judge the nature and urgency of environmental risks and provide targeted risk prompts for decision makers. Once the system detects environmental monitoring data that meets the early warning conditions, it will immediately send a corresponding early warning alarm to the monitoring terminal. This instant feedback mechanism ensures that management or operators can quickly grasp the environmental risk status and take effective intervention measures to prevent the situation from further deteriorating. By distinguishing the first early warning alarm from the second early warning alarm and formulating different response strategies according to different levels of alarms, this technology provides strong support for risk management and decision-making in the production process. Different levels of alarms can trigger different levels of response procedures to achieve optimal resource allocation and minimize risks. Through continuous environmental monitoring and data analysis, the system is able to gradually optimize ventilation strategies and early warning thresholds to better adapt to environmental control needs under different production conditions.

[0037] Optionally, after sending the second environment monitoring update data set to the production environment control cloud platform, the method further includes:

[0038] The production environment control cloud platform determines that the second temperature monitoring data is greater than the first temperature monitoring data in the first environment monitoring update data set, and the first temperature monitoring data is greater than the temperature monitoring data; and / or the second humidity monitoring data is greater than the first humidity monitoring data in the first environment monitoring update data set, and the first humidity monitoring data is greater than the humidity monitoring data; and / or the second dust concentration monitoring data is greater than the first dust concentration monitoring data in the first environment monitoring update data set, and the first dust concentration monitoring data is greater than the dust concentration monitoring data, then the production environment control cloud platform issues a third early warning alarm to the monitoring terminal and instructs the ventilation device to suspend ventilation of the target production plant. The third early warning alarm level is higher than the second early warning alarm.

[0039] In the above scheme, by comparing the environmental monitoring data at different time points (i.e., the changes in temperature, humidity, and dust concentration monitoring data at different update stages), the dynamic change trend of the production environment quality can be accurately captured. This trend monitoring capability enables the system to predictively identify potential environmental deterioration risks, rather than just reacting based on the current environmental status. In the above scheme, a third early warning alarm is introduced to warn specifically for the trend of continued deterioration of environmental monitoring data. When it is found that the continuously updated environmental monitoring data are all on an upward trend and exceed the previously recorded values, the system can trigger a higher level of early warning, further enhancing the timeliness and accuracy of risk early warning. Once the system determines that the environmental change trend has a significant risk of deterioration, it can not only send a high-level third early warning alarm to the monitoring terminal, but also instruct the ventilation device to suspend ventilation operations. This intelligent decision-making and self-protection mechanism is designed to prevent further damage that may be caused by continued ventilation in extremely adverse environments, ensuring the safety of equipment and production environment.

[0040] In addition, through this multi-level early warning and intervention mechanism, managers can have a more comprehensive understanding of the real-time status and future trends of the production environment, so as to formulate more accurate and effective management strategies. This not only helps to reduce the risk level in the production process, but also improves overall management effectiveness and production efficiency. When the system issues a third early warning alarm and instructs the ventilation device to suspend, managers can quickly evaluate whether it is necessary to adjust the production plan, deploy other emergency measures, or arrange personnel for on-site processing based on the alarm content and actual conditions. This rapid response and resource optimization helps to maximize the use of limited resources and ensure the smooth progress of production activities.

[0041] In a second aspect, the present application provides a production process control system, including: a production environment monitoring sensor cluster, a production equipment cluster, a production environment control cloud platform and a ventilation device, wherein each production environment monitoring sensor in the production environment monitoring sensor cluster, each production equipment in the production equipment cluster and the ventilation device are respectively connected to the production environment control cloud platform for communication;

[0042] Acquire an environmental monitoring data set of a target production plant through the production environment monitoring sensor cluster, and upload the environmental monitoring data set to the production environment control cloud platform, wherein the environmental monitoring data set includes multi-dimensional environmental monitoring data;

[0043] Each production device in the production device cluster reports the device operation status to the production environment control cloud platform to generate a production device operation status set;

[0044] The production environment control cloud platform uses a preset ventilation volume confirmation model and determines a target ventilation volume according to the environmental monitoring data set and the production equipment operation status set;

[0045] The production environment control cloud platform sends the target ventilation volume to the ventilation device to instruct the ventilation device to ventilate the target production plant according to the target ventilation volume.

[0046] Optionally, the step of acquiring a set of environmental monitoring data of a target production plant through the production environment monitoring sensor cluster includes:

[0047] Acquiring temperature monitoring data of the target production plant through the temperature sensor in the production environment monitoring sensor cluster;

[0048] Acquiring humidity monitoring data of the target production plant through a humidity sensor in the production environment monitoring sensor cluster;

[0049] Acquire dust concentration monitoring data of the target production plant through a dust concentration sensor in the production environment monitoring sensor cluster, wherein the environmental monitoring data set includes the temperature monitoring data, the humidity monitoring data and the dust concentration monitoring data;

[0050] Correspondingly, each production device in the production device cluster reports the device operation status to the production environment control cloud platform to generate a production device operation status set, including:

[0051] Each production device in the production device cluster acquires a device operating status, where the device operating status includes a device on status and a device off status, to generate the production device operating status set.

[0052] Optionally, the production environment control cloud platform uses a preset ventilation volume confirmation model and determines a target ventilation volume according to the environmental monitoring data set and the production equipment operation status set, including:

[0053] The production environment control cloud platform determines the target ventilation volume and the dynamic ventilation demand coefficient according to the temperature monitoring data, the humidity monitoring data and the dust concentration monitoring data in the environmental monitoring data set and the production equipment operation status set;

[0054] The production environment control cloud platform determines the target ventilation volume according to the dynamic ventilation demand coefficient K and a preset minimum ventilation volume.

[0055] Optionally, before the production environment control cloud platform sends the target ventilation volume to the ventilation device, it also includes:

[0056] The production environment control cloud platform determines the ventilation rate according to the target ventilation volume and the dust concentration monitoring data, and sends the ventilation rate to the ventilation device.

[0057] Optionally, after the production environment control cloud platform sends the target ventilation volume to the ventilation device, the method further includes:

[0058] After the ventilation device performs ventilation operation at the ventilation rate, obtaining a first environment monitoring update data set of the target production plant through the production environment monitoring sensor cluster, and sending the first environment monitoring update data set to the production environment control cloud platform;

[0059] The production environment control cloud platform determines that there is at least one environment monitoring update data in the first environment monitoring update data set that is greater than the corresponding environment monitoring data threshold, then the production environment control cloud platform instructs the ventilation device to ventilate the target production plant at the maximum ventilation rate.

[0060] Optionally, after the production environment control cloud platform sends the maximum ventilation rate to the ventilation device, the method further includes:

[0061] After the ventilation operation is performed at the maximum ventilation rate through the ventilation device, a second environment monitoring update data set of the target production plant is obtained through the production environment monitoring sensor cluster, and the second environment monitoring update data set is sent to the production environment control cloud platform;

[0062] If the second temperature monitoring data in the second environment monitoring update data set is greater than a preset environment temperature threshold, and the second humidity monitoring data is greater than a preset environment humidity threshold, the production environment control cloud platform sends a first early warning alarm to the monitoring terminal; or,

[0063] If the second temperature monitoring data in the second environmental monitoring update data set is greater than the preset environmental temperature threshold, and the second dust concentration monitoring data is greater than the preset environmental dust concentration threshold, the production environment control cloud platform issues a second warning alarm to the monitoring terminal, and the second warning alarm level is higher than the first warning alarm.

[0064] Optionally, after sending the second environment monitoring update data set to the production environment control cloud platform, the method further includes:

[0065] The production environment control cloud platform determines that the second temperature monitoring data is greater than the first temperature monitoring data in the first environment monitoring update data set, and the first temperature monitoring data is greater than the temperature monitoring data; and / or the second humidity monitoring data is greater than the first humidity monitoring data in the first environment monitoring update data set, and the first humidity monitoring data is greater than the humidity monitoring data; and / or the second dust concentration monitoring data is greater than the first dust concentration monitoring data in the first environment monitoring update data set, and the first dust concentration monitoring data is greater than the dust concentration monitoring data, then the production environment control cloud platform issues a third early warning alarm to the monitoring terminal and instructs the ventilation device to suspend ventilation of the target production plant. The third early warning alarm level is higher than the second early warning alarm.

[0066] In a third aspect, the present application provides an electronic device, including:

[0067] processor; and,

[0068] A memory, configured to store executable instructions of the processor;

[0069] The processor is configured to perform any possible method described in the first aspect by executing the executable instructions.

[0070] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement any possible method described in the first aspect.

[0071] The data processing method for production process control provided by the present application obtains the environmental monitoring data set of the target production plant through the production environment monitoring sensor cluster, and uploads the environmental monitoring data set to the production environment control cloud platform, and each production equipment in the production equipment cluster reports the equipment operation status to the production environment control cloud platform to generate a production equipment operation status set, so that the production environment control cloud platform uses the preset ventilation volume to confirm the model, and determines the target ventilation volume according to the environmental monitoring data set and the production equipment operation status set, and sends the target ventilation volume to the ventilation device to instruct the ventilation device to ventilate the target production plant according to the target ventilation volume, thereby realizing comprehensive intelligent monitoring and regulation of the production environment, so as to adapt to the changes in the production environment, and can effectively avoid production interruptions or product quality problems caused by environmental fluctuations. In addition, the determination of the target ventilation volume according to the monitoring data can avoid unnecessary ventilation energy consumption and realize efficient use of energy. At the same time, the demand for manual intervention is reduced through intelligent management, and the labor cost is reduced. In addition, by promptly handling environmental problems, equipment failures and downtime caused by environmental problems are reduced, and production costs are further reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0073] Figure 1 is a flow chart of a data processing method for production process control according to an exemplary embodiment of the present application;

[0074] Figure 2 is a flow chart of a data processing method for production process control according to another exemplary embodiment of the present application;

[0075] Figure 3 is a structural schematic diagram of a production process control system according to an exemplary embodiment of the present application;

[0076] Figure 4 It is a schematic diagram of the structure of an electronic device according to an exemplary embodiment of the present application.

[0077] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0078] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0079] In order to solve the above problems, the embodiments provided in this application aim to realize comprehensive intelligent monitoring and control of the production environment through an integrated production process control system, so as to improve the stability, reliability and production efficiency of the production environment. The system includes a production environment monitoring sensor cluster, a production equipment cluster, a production environment control cloud platform and a ventilation device. The various parts work together through communication connections to jointly realize precise control and dynamic adjustment of the production environment. Specifically, the specific technical concepts of the embodiments provided in this application are as follows:

[0080] Comprehensive environmental monitoring and data collection: Through the production environment monitoring sensor cluster (including temperature sensors, humidity sensors, dust concentration sensors, etc.), the multi-dimensional environmental monitoring data (temperature, humidity, dust concentration, etc.) of the target production plant is obtained in real time to ensure the comprehensiveness and accuracy of the data. Each production equipment in the production equipment cluster reports its operating status (on or off status, operating power, etc.) to provide the necessary equipment status information for the calculation of ventilation volume.

[0081] Intelligent ventilation volume calculation and control: The production environment control cloud platform receives environmental monitoring data and production equipment status data, uses the preset ventilation volume confirmation model for comprehensive analysis, and dynamically calculates the target ventilation volume. This calculation process takes into account multiple factors such as ambient temperature, humidity, dust concentration, and production equipment operating status to ensure accurate setting of ventilation volume. After calculating the target ventilation volume, the cloud platform further determines the ventilation rate based on the dust concentration data to more finely control the operation of the ventilation device and optimize the ventilation effect.

[0082] Dynamic feedback and emergency response: After the ventilation device performs preliminary ventilation operations according to the calculated ventilation rate, the production environment monitoring sensor cluster obtains and uploads the updated environmental monitoring data to the cloud platform again. The cloud platform evaluates the ventilation effect in real time. Once any environmental monitoring data exceeds the preset threshold, it immediately instructs the ventilation device to perform enhanced ventilation at the maximum ventilation rate to quickly respond to sudden environmental deterioration.

[0083] Multi-level early warning and decision support: After ventilation at the maximum ventilation rate, the environmental monitoring data is acquired and analyzed again. According to the different exceeding conditions of the data (such as temperature and humidity exceeding the standard at the same time, temperature and dust concentration exceeding the standard at the same time), the cloud platform sends different levels of early warning alarms to the monitoring terminal to provide managers with timely and accurate environmental risk information. When it is detected that the environmental monitoring data continues to deteriorate, the cloud platform issues the highest level of early warning alarm and instructs the ventilation device to suspend ventilation to prevent further damage. This multi-level early warning mechanism significantly enhances the system's responsiveness to changes in the production environment and the level of risk management.

[0084] Intelligent management and efficiency improvement: Through the above intelligent control process, not only can the precise control of the production environment be achieved, but also unnecessary ventilation energy consumption can be avoided by dynamically adjusting the ventilation volume, thus improving energy efficiency. At the same time, the need for manual intervention is reduced, labor costs are reduced, and by timely handling of environmental problems, equipment failures and downtime are reduced, further reducing production costs.

[0085] Figure 1 FIG. 1 is a flow chart of a data processing method for production process control according to an exemplary embodiment of the present application. Figure 1 As shown, the data processing method for production process control provided in this embodiment includes:

[0086] S101. Obtain a set of environmental monitoring data of a target production plant through a production environment monitoring sensor cluster.

[0087] The method provided in this embodiment is applied to a production process control system, which includes: a production environment monitoring sensor cluster, a production equipment cluster, a production environment control cloud platform and a ventilation device. Each production environment monitoring sensor in the production environment monitoring sensor cluster, each production equipment in the production equipment cluster and the ventilation device are respectively communicated with the production environment control cloud platform.

[0088] Specifically, the above-mentioned production process control system includes four main parts: production environment monitoring sensor cluster, production equipment cluster, production environment control cloud platform and ventilation device. These components are connected through stable communication for data transmission and command exchange. In a possible design, the design of each part of the production process control system can be:

[0089] Production environment monitoring sensor cluster: It is composed of multiple different types of sensors, such as temperature sensors, humidity sensors, dust concentration sensors, etc. They are responsible for real-time monitoring of multi-dimensional environmental data such as temperature, humidity, dust concentration, etc. in the target production plant.

[0090] Production equipment cluster: includes various production equipment on the production line, which can report their respective equipment operating status to the production environment control cloud platform, such as on or off status, current operating power, etc.

[0091] Production environment control cloud platform: As the core of the system, it is responsible for receiving data from sensors and production equipment, running the preset ventilation volume confirmation model, and sending control instructions to the ventilation device.

[0092] Ventilation device: According to the target ventilation volume instruction sent by the cloud platform, the target production plant is ventilated to ensure the suitability of the production environment. The above-mentioned ventilation device can be an axial flow fan, a centrifugal fan, a ventilation duct system, etc.

[0093] In this step, the environmental monitoring data set of the target production plant is obtained through the production environment monitoring sensor cluster, and the environmental monitoring data set is uploaded to the production environment control cloud platform. The environmental monitoring data set includes multi-dimensional environmental monitoring data.

[0094] Specifically, each sensor in the production environment monitoring sensor cluster collects environmental data of the target production plant at regular or real-time intervals, including temperature, humidity, dust concentration, etc., and packages these data into an environmental monitoring data set and uploads it to the production environment control cloud platform. After receiving these data, the cloud platform performs preliminary verification and sorting to provide basic data for subsequent analysis.

[0095] S102. Each production device in the production device cluster reports the device operation status to the production environment control cloud platform.

[0096] In this step, each production device in the production device cluster reports the device operation status to the production environment control cloud platform to generate a production device operation status set.

[0097] Specifically, each device in the production equipment cluster regularly reports its operating status to the production environment control cloud platform through a preset communication protocol. This status information includes the device's on or off status, current operating power, etc. After collecting this information, the cloud platform generates a set of production equipment operating status to provide data support for subsequent analysis of the impact of equipment status on ventilation demand.

[0098] S103. The production environment control cloud platform uses a preset ventilation volume confirmation model and determines a target ventilation volume based on a set of environmental monitoring data and a set of production equipment operating status.

[0099] Specifically, the production environment control cloud platform uses the preset ventilation volume confirmation model, combined with the received environmental monitoring data set and the equipment operation status set, to conduct comprehensive analysis and calculation. The model will consider the impact of ambient temperature, humidity, and dust concentration on ventilation requirements, as well as the dynamic adjustment requirements of the production equipment operation status (such as increased heat dissipation requirements when the equipment is turned on) on ventilation volume. Through complex calculation logic, the cloud platform ultimately determines the target ventilation volume suitable for the current production environment.

[0100] S104. The production environment control cloud platform sends the target ventilation volume to the ventilation device.

[0101] In this step, the production environment control cloud platform sends the target ventilation volume to the ventilation device to instruct the ventilation device to ventilate the target production plant according to the target ventilation volume.

[0102] Specifically, once the target ventilation volume is determined, the production environment control cloud platform will immediately send a ventilation instruction to the ventilation device through a communication connection, instructing the ventilation device to perform ventilation operations according to the target ventilation volume. After receiving the instruction, the ventilation device starts the corresponding ventilation equipment, adjusts to the specified air volume, and ventilates the target production plant to maintain or improve the production environment.

[0103] In this embodiment, the environmental monitoring data set of the target production plant is obtained through the production environment monitoring sensor cluster, and the environmental monitoring data set is uploaded to the production environment control cloud platform, and each production equipment in the production equipment cluster reports the equipment operation status to the production environment control cloud platform to generate a production equipment operation status set, so that the production environment control cloud platform uses the preset ventilation volume to confirm the model, and determines the target ventilation volume according to the environmental monitoring data set and the production equipment operation status set, and sends the target ventilation volume to the ventilation device to instruct the ventilation device to ventilate the target production plant according to the target ventilation volume, thereby realizing comprehensive intelligent monitoring and regulation of the production environment, so as to adapt to the changes in the production environment, and effectively avoid production interruptions or product quality problems caused by environmental fluctuations. In addition, the determination of the target ventilation volume according to the monitoring data can avoid unnecessary ventilation energy consumption and realize efficient use of energy. At the same time, the need for manual intervention is reduced through intelligent management, and the labor cost is reduced. In addition, by promptly handling environmental problems, equipment failures and downtime caused by environmental problems are reduced, and production costs are further reduced.

[0104] Figure 2 FIG. 1 is a flow chart of a data processing method for production process control according to another exemplary embodiment of the present application. Figure 2 As shown, the data processing method for production process control provided in this embodiment includes:

[0105] S201. Obtain a set of environmental monitoring data of a target production plant through a production environment monitoring sensor cluster.

[0106] In this step, the environmental monitoring data set of the target production plant is obtained through the production environment monitoring sensor cluster, and the environmental monitoring data set is uploaded to the production environment control cloud platform. The environmental monitoring data set includes multi-dimensional environmental monitoring data.

[0107] Specifically, the temperature monitoring data of the target production plant is obtained through the temperature sensor in the production environment monitoring sensor cluster. The humidity monitoring data of the target production plant is obtained through the humidity sensor in the production environment monitoring sensor cluster. The dust concentration monitoring data of the target production plant is obtained through the dust concentration sensor in the production environment monitoring sensor cluster. The environmental monitoring data set includes temperature monitoring data, humidity monitoring data, and dust concentration monitoring data.

[0108] S202. Each production device in the production device cluster reports the device operation status to the production environment control cloud platform.

[0109] In this step, each production device in the production device cluster reports the device operation status to the production environment control cloud platform to generate a production device operation status set.

[0110] Specifically, each device in the production equipment cluster regularly reports its operating status to the production environment control cloud platform through a preset communication protocol. This status information includes the device's on or off status, current operating power, etc. After collecting this information, the cloud platform generates a set of production equipment operating status to provide data support for subsequent analysis of the impact of equipment status on ventilation demand.

[0111] S203. The production environment control cloud platform determines the target ventilation volume based on the temperature monitoring data, humidity monitoring data and dust concentration monitoring data in the environmental monitoring data set and the dynamic ventilation demand coefficient based on the production equipment operation status set.

[0112] Specifically, the production environment control cloud platform uses formula 1 and determines the target ventilation volume according to the temperature monitoring data T, humidity monitoring data H and dust concentration monitoring data G in the environmental monitoring data set, and determines the dynamic ventilation demand coefficient K according to the production equipment operation status set, where formula 1 is:

[0113]

[0114] in, To calibrate the minimum dynamic ventilation demand coefficient K, is the first weight value, is the second weight value, is the third weight value, is the fourth weight value, is the set ambient temperature of the target production plant, is the maximum value of the ambient temperature fluctuation of the target production plant. Set the ambient humidity for the target production plant. is the maximum value of the ambient humidity fluctuation set for the target production plant. The minimum dust concentration value detected by the dust concentration sensor. is the safe concentration threshold of dust concentration, is the operating status characteristic value of the i-th production equipment in the production equipment cluster. If the equipment operating status is the equipment on status, then , if the device operation state is the device shutdown state, then , is the current operating power of the i-th production equipment in the production equipment cluster, n is the total number of production equipment in the production equipment cluster, It is the sum of the maximum operating power of all production equipment in the production equipment cluster.

[0115] It is worth noting that the above formula 1 calculates the dynamic ventilation demand coefficient by comprehensively considering multiple factors such as the temperature, humidity, dust concentration of the production environment and the operating status of the production equipment. This process not only reflects the direct impact of environmental parameters on ventilation demand, but also incorporates the indirect impact of the state of production equipment on ventilation volume, thereby achieving a more accurate and dynamic ventilation volume setting. Specifically, formula 1 includes environmental parameters such as the set ambient temperature of the production plant, the set maximum value of ambient temperature fluctuation, the set ambient humidity, the set maximum value of ambient humidity fluctuation, the minimum monitoring value of dust concentration and the safety concentration threshold into the calculation scope. These parameters directly reflect the actual situation of the production environment and the basic demand for ventilation volume. At the same time, the formula also considers the operating status and operating power of each device in the production equipment cluster, and reflects the indirect impact of the equipment status on ventilation demand by assigning different weight values. The dynamic ventilation demand coefficient is a key parameter in the ventilation volume calculation. It is dynamically adjusted according to the real-time monitored environmental data and the state of production equipment to ensure that the ventilation volume setting can adapt to changes in the production environment. Through the calculation of formula 1, even when the environmental parameters fluctuate or the state of production equipment changes, the dynamic ventilation demand coefficient that meets the current needs can be quickly obtained.

[0116] In addition, traditional ventilation control systems often use static preset ventilation volumes, which cannot be flexibly adjusted according to real-time environmental changes. Formula 1 dynamically calculates the ventilation demand coefficient, making the setting of ventilation volume more flexible and able to adapt to ventilation needs under different production conditions. This flexibility not only improves the accuracy of ventilation control, but also helps reduce energy waste and improve overall production efficiency. Combined with the dynamic ventilation demand coefficient calculated by Formula 1, the production environment control cloud platform can formulate more scientific and reasonable ventilation control strategies. These strategies can not only effectively improve the production environment, ensure product quality and production efficiency, but also reduce production costs and labor costs while ensuring production continuity and stability.

[0117] S204. The production environment control cloud platform determines the target ventilation volume according to the dynamic ventilation demand coefficient and the preset minimum ventilation volume.

[0118] Specifically, the production environment control cloud platform uses Formula 2 and determines the target ventilation volume W based on the dynamic ventilation demand coefficient K and the preset minimum ventilation volume. Formula 2 is:

[0119]

[0120] in, The preset minimum ventilation rate for the target production plant.

[0121] It is worth noting that the above formula 2 combines the dynamic ventilation demand coefficient and the preset minimum ventilation volume to determine the target ventilation volume. It not only takes into account the real-time needs of the production environment, but also takes into account the basic operating requirements of the ventilation system, ensuring that the setting of the target ventilation volume not only meets the actual needs of the production environment, but also avoids energy waste caused by excessive ventilation. By determining the target ventilation volume through formula 2, the ventilation system can operate in the optimal state, which not only ensures the stability and comfort of the production environment, but also improves the operating efficiency of the ventilation system. Compared with the static preset ventilation volume, the dynamically adjusted target ventilation volume can better adapt to changes in the production environment, reduce invalid ventilation time, and thus improve energy utilization efficiency.

[0122] S205. The production environment control cloud platform determines the ventilation rate based on the target ventilation volume and dust concentration monitoring data.

[0123] In this step, the production environment control cloud platform determines the ventilation rate based on the target ventilation volume and dust concentration monitoring data, and sends the ventilation rate to the ventilation device.

[0124] Specifically, the production environment control cloud platform uses formula 3 and determines the ventilation rate V according to the target ventilation volume W and the dust concentration monitoring data G, and sends the ventilation rate V to the ventilation device. Formula 3 is:

[0125]

[0126] in, is the maximum ventilation rate of the ventilation device, is the minimum ventilation rate of the ventilation device, is the dynamic ventilation rate, To dynamically increase ventilation time, Enhance ventilation time for preset basis.

[0127] It is worth noting that the above formula 3 determines the ventilation rate according to the target ventilation volume and the dust concentration monitoring data. This step makes the operation of the ventilation system no longer rely solely on the fixed ventilation volume, but can dynamically adjust the ventilation rate according to the real-time changes in the dust concentration. The above method of controlling the ventilation rate can better adapt to the changes in the production environment and ensure that the air quality of the production environment is always maintained at an appropriate level. By dynamically adjusting the ventilation rate, the ventilation system can automatically increase the ventilation rate when the dust concentration is high and quickly reduce the dust concentration; when the dust concentration is low, the ventilation rate can be appropriately reduced to save energy. This flexible ventilation rate adjustment strategy enables the ventilation system to operate at a higher efficiency, which not only ensures the cleanliness of the production environment, but also avoids unnecessary energy waste. The application of formula 3 makes the energy utilization of the ventilation system more efficient. By monitoring the dust concentration in real time and adjusting the ventilation rate accordingly, the system can minimize the ventilation energy consumption while ensuring the quality of the production environment. This energy optimization strategy is of great significance for reducing production costs and improving the economic benefits of enterprises. In addition, the dynamic adjustment of the ventilation rate enables the system to better respond to emergencies. For example, when a large amount of dust is suddenly generated during the production process, the system can respond quickly and increase the ventilation rate to effectively prevent the dust concentration from exceeding the standard. This robust ventilation control strategy helps to ensure the continuity and stability of the production process. In addition, since the adjustment of the ventilation rate is done automatically, the operator does not need to frequently manually adjust the ventilation volume or rate. This not only reduces the workload of the operator, but also reduces the risk of ventilation control errors caused by improper human operation.

[0128] S206: Acquire a first environment monitoring update data set of the target production plant through the production environment monitoring sensor cluster.

[0129] In this step, the ventilation device is used to perform dynamic enhanced ventilation at a ventilation rate V for a duration of After the ventilation operation, a first environment monitoring update data set of the target production plant is obtained through the production environment monitoring sensor cluster, and the first environment monitoring update data set is sent to the production environment control cloud platform.

[0130] S207. The production environment control cloud platform instructs the ventilation device to ventilate the target production plant at a maximum ventilation rate.

[0131] In this step, the production environment control cloud platform determines that there is at least one environment monitoring update data in the first environment monitoring update data set that is greater than the corresponding environment monitoring data threshold, then the production environment control cloud platform will increase the maximum ventilation rate Sent to the ventilation device to make the ventilation device ventilate at the maximum rate Ventilate the target production plant.

[0132] Based on the above embodiment, the ventilation device is used at the maximum ventilation rate. The duration is the dynamic reinforcement ventilation time After the ventilation operation, the second environment monitoring update data set of the target production plant is obtained through the production environment monitoring sensor cluster, and the second environment monitoring update data set is sent to the production environment control cloud platform, wherein the dynamic reinforcement ventilation time To set the maximum enhanced ventilation time Dynamically enhanced ventilation time The difference between

[0133] If the second temperature monitoring data in the second environment monitoring update data set is greater than the preset environment temperature threshold, and the second humidity monitoring data is greater than the preset environment humidity threshold, the production environment control cloud platform sends a first early warning alarm to the monitoring terminal; or,

[0134] If the second temperature monitoring data in the second environmental monitoring update data set is greater than the preset environmental temperature threshold, and the second dust concentration monitoring data is greater than the preset environmental dust concentration threshold, the production environment control cloud platform issues a second warning alarm to the monitoring terminal, and the second warning alarm level is higher than the first warning alarm.

[0135] Specifically, the first environmental monitoring update data set of the target production plant is obtained again through the production environment monitoring sensor cluster. This data set includes the latest temperature monitoring data, humidity monitoring data and dust concentration monitoring data, reflecting the environmental conditions after the ventilation operation. The first environmental monitoring update data set is uploaded to the production environment control cloud platform in real time. After receiving these data, the cloud platform immediately analyzes them to determine whether all environmental parameters have reached the safety standards. If the production environment control cloud platform determines that there is at least one environmental monitoring update data in the first environmental monitoring update data set that is greater than the corresponding environmental monitoring data threshold, it means that the current ventilation effect is not enough to maintain the suitability of the production environment. In order to quickly improve the environmental conditions, the cloud platform will take further measures. In this case, the production environment control cloud platform will send the maximum ventilation rate to the ventilation device, instructing the ventilation device to immediately ventilate the target production plant at the maximum ventilation rate. This step ensures that the system can respond quickly to environmental deterioration and prevent the situation from further deteriorating. After the ventilation device performs ventilation operation at the maximum ventilation rate, the production environment monitoring sensor cluster will continue to monitor the environmental conditions and feed back the latest environmental monitoring data to the production environment control cloud platform in real time. This process allows the system to continuously evaluate the ventilation effect and adjust the ventilation strategy as needed.

[0136] In the above scheme, after the ventilation device performs ventilation operation at the maximum ventilation rate, the system obtains the second environmental monitoring update data set again through the production environment monitoring sensor cluster and analyzes the data. This process ensures continuous monitoring of the production environment status and can timely detect potential environmental risks. Then, two different types of early warning alarm mechanisms are introduced, one for the case of temperature and humidity exceeding the standard, and the other for temperature and dust concentration exceeding the standard. This multi-level early warning strategy helps the system to more accurately judge the nature and urgency of environmental risks and provide targeted risk prompts for decision makers. Once the system detects environmental monitoring data that meets the early warning conditions, it will immediately send a corresponding early warning alarm to the monitoring terminal. This instant feedback mechanism ensures that management or operators can quickly grasp the environmental risk status and take effective intervention measures to prevent the situation from further deteriorating. By distinguishing the first early warning alarm from the second early warning alarm and formulating different response strategies according to different levels of alarms, this technology provides strong support for risk management and decision-making in the production process. Different levels of alarms can trigger different levels of response procedures to achieve optimal resource allocation and minimize risks. Through continuous environmental monitoring and data analysis, the system is able to gradually optimize ventilation strategies and early warning thresholds to better adapt to environmental control needs under different production conditions.

[0137] Furthermore, after sending the second environmental monitoring update data set to the production environment control cloud platform, the production environment control cloud platform determines that the second temperature monitoring data is greater than the first temperature monitoring data in the first environmental monitoring update data set, and the first temperature monitoring data is greater than the temperature monitoring data; and / or the second humidity monitoring data is greater than the first humidity monitoring data in the first environmental monitoring update data set, and the first humidity monitoring data is greater than the humidity monitoring data; and / or the second dust concentration monitoring data is greater than the first dust concentration monitoring data in the first environmental monitoring update data set, and the first dust concentration monitoring data is greater than the dust concentration monitoring data, then the production environment control cloud platform issues a third early warning alarm to the monitoring terminal, and instructs the ventilation device to suspend ventilation of the target production plant, and the third early warning alarm level is higher than the second early warning alarm.

[0138] Specifically, the second environmental monitoring update data set of the target production plant is obtained through the production environment monitoring sensor cluster. This data set includes the latest temperature monitoring data, humidity monitoring data, and dust concentration monitoring data, reflecting the environmental conditions after the ventilation device is running at the maximum ventilation rate. The second environmental monitoring update data set is uploaded to the production environment control cloud platform in real time. After receiving this data, the cloud platform immediately conducts a detailed analysis to determine whether the environmental parameters are still within a safe range.

[0139] Based on the analysis results, the production environment control cloud platform will take one of the following measures to issue a warning alert:

[0140] If the second temperature monitoring data in the second environmental monitoring update data set is greater than the preset environmental temperature threshold, and the second humidity monitoring data is greater than the preset environmental humidity threshold, it means that both the ambient temperature and humidity are beyond the safe range. At this time, the cloud platform sends a first early warning alarm to the monitoring terminal, prompting management personnel to pay attention to the environmental temperature and humidity problems.

[0141] If the second temperature monitoring data in the second environmental monitoring update data set is greater than the preset environmental temperature threshold, and the second dust concentration monitoring data is greater than the preset environmental dust concentration threshold, it means that both the environmental temperature and dust concentration are exceeded, and the cloud platform sends a second early warning alarm to the monitoring terminal. Since the health and safety risks caused by excessive dust concentration are higher, the level of the second early warning alarm is higher than the first early warning alarm to attract the attention of management personnel.

[0142] When the cloud platform issues a warning alarm, it will also record the environmental parameter violations in detail and take into account the changing trends of the environmental parameters. If continuous environmental monitoring data shows that environmental parameters continue to deteriorate (such as a continuous increase in temperature, humidity or dust concentration), the cloud platform will issue a higher level third warning alarm and instruct the ventilation device to suspend ventilation operations to prevent further deterioration of the environment or damage to the equipment.

[0143] In the above scheme, by comparing the environmental monitoring data at different time points (i.e., the changes in temperature, humidity, and dust concentration monitoring data at different update stages), the dynamic change trend of the production environment quality can be accurately captured. This trend monitoring capability enables the system to predictively identify potential environmental deterioration risks, rather than just reacting based on the current environmental status. In the above scheme, a third early warning alarm is introduced to warn specifically for the trend of continued deterioration of environmental monitoring data. When it is found that the continuously updated environmental monitoring data are all on an upward trend and exceed the previously recorded values, the system can trigger a higher level of early warning, further enhancing the timeliness and accuracy of risk early warning. Once the system determines that the environmental change trend has a significant risk of deterioration, it can not only send a high-level third early warning alarm to the monitoring terminal, but also instruct the ventilation device to suspend ventilation operations. This intelligent decision-making and self-protection mechanism is designed to prevent further damage that may be caused by continued ventilation in extremely adverse environments, ensuring the safety of equipment and production environment.

[0144] It is worth noting that after the production environment control cloud platform issues the first early warning alarm or the second early warning alarm to the monitoring terminal, each production device in the production device cluster uploads the device operating parameters to the production environment control cloud platform to generate a set of production device operating parameters;

[0145] If the production environment control cloud platform determines that there is abnormally operating production equipment based on the production equipment operating parameter set, the production environment control cloud platform sends a fourth early warning alarm to the monitoring terminal to indicate the equipment information of the abnormally operating production equipment.

[0146] Specifically, once the production environment control cloud platform issues a warning alarm, the system immediately triggers the operating status monitoring mechanism of the production equipment. Each production equipment in the production equipment cluster uploads its current operating parameters to the production environment control cloud platform to generate a set of production equipment operating parameters. These parameters include but are not limited to key indicators such as equipment operating time, power consumption, temperature, vibration, and the shutdown status of each component of the equipment. After receiving the equipment operating parameter set, the production environment control cloud platform immediately performs a detailed analysis of these data, which may be compared with preset related indicators or states, so that according to the analysis results, the cloud platform determines whether there is an abnormally operating production equipment. For example, if the cloud platform detects that the hatch of the CNC grinding machine equipment is not closed, the device is judged to be an abnormally operating device. Once it is confirmed that there is an abnormally operating production equipment, the production environment control cloud platform will immediately issue a fourth warning alarm to the monitoring terminal. The alarm not only contains the specific information of the abnormal equipment (such as equipment number, location, abnormal type, etc.), but may also contain recommended countermeasures so that managers can respond quickly and solve the problem. After the fourth warning alarm is issued, the system will continue to monitor the operating status of the abnormal equipment and the overall status of the production environment. If the problem is solved and the environmental parameters return to the normal range, the cloud platform will update the status information and report to the monitoring terminal. If the problem persists or worsens, the cloud platform will repeat the above steps or take further emergency measures.

[0147] In the above solution, by requiring each production equipment in the production equipment cluster to upload equipment operating parameters to the production environment control cloud platform, the system can obtain detailed equipment operating conditions in real time. This step significantly enhances the system's fault diagnosis capabilities for production equipment and helps to quickly locate potential equipment failures or improper operations. Once a warning situation is found in the production environment (such as temperature and humidity exceeding the standard or temperature and dust concentration exceeding the standard), the system can immediately trigger the upload and analysis process of equipment operating parameters. This immediate response mechanism helps to take quick action before the problem worsens and reduce the risk of production interruption. By generating a set of production equipment operating parameters and judging whether there are abnormally operating production equipment based on these parameters, the system can provide production managers with more comprehensive and accurate information support. Managers can quickly formulate targeted management measures or maintenance plans based on this information to optimize production management decisions. Timely discovery and reporting of abnormally operating production equipment can help prevent further deterioration of equipment failures and reduce the risk of production accidents caused by equipment problems. At the same time, this also helps to reduce production losses caused by equipment downtime or maintenance. Through continuous monitoring and analysis of the production environment and equipment operating status, the system can continuously accumulate data resources. These data not only help solve current problems, but also provide strong support for future production environment improvement and equipment optimization, and promote continuous improvement of the production process.

[0148] It is worth noting that the production equipment cluster includes multiple CNC grinding machine equipment; correspondingly, the production environment control cloud platform determines that there are abnormally operating production equipment based on the production equipment operation parameter set, including:

[0149] The production environment control cloud platform determines the hatch closing state of the CNC grinding machine equipment according to the set of production equipment operation parameters. If the hatch closing state is not closed, the CNC grinding machine equipment is determined to be an abnormally operating production equipment.

[0150] In the above solution, when the production equipment cluster contains multiple CNC grinding machines, how does the production environment control cloud platform determine whether the CNC grinding machine is an abnormally operating production equipment through specific equipment operating parameters (i.e., the hatch closing status of the CNC grinding machine equipment). By directly monitoring the hatch closing status of the CNC grinding machine equipment, the cloud platform can quickly and accurately identify abnormally operating equipment caused by the hatch not being closed. This monitoring directly related to the specific equipment operating status greatly improves the accuracy and efficiency of abnormal identification.

[0151] It is worth noting that if the hatch of the CNC grinding machine equipment is not closed, it may cause problems such as cutting fluid splashing and dust diffusion, which not only affects the production environment, but may also damage the equipment itself, causing a rapid increase in dust concentration in the production workshop. By monitoring the hatch status in real time, the cloud platform can detect such risks at the first time and avoid potential accidents and equipment failures. Once abnormal equipment is identified, the cloud platform can immediately notify maintenance personnel to handle it, thereby shortening equipment downtime and reducing production losses. At the same time, based on historical data, enterprises can analyze the reasons why the hatch is not closed and formulate targeted improvement measures, such as strengthening employee training and optimizing operating procedures, so as to fundamentally reduce the probability of abnormalities. By quickly responding to and effectively handling equipment anomalies, the system can ensure the continuity and stability of the production process and avoid production interruptions caused by equipment failures. This not only improves production efficiency, but also helps to improve product quality and customer satisfaction.

[0152] Figure 3 1 is a schematic diagram of a production process control system according to an exemplary embodiment of the present application. Figure 3 As shown, the production process control system 300 provided in this embodiment includes:

[0153] It includes: a production environment monitoring sensor cluster 310, a production equipment cluster 320, a production environment control cloud platform 330 and a ventilation device 340, wherein each production environment monitoring sensor in the production environment monitoring sensor cluster 310, each production equipment in the production equipment cluster 320 and the ventilation device 340 are respectively connected to the production environment control cloud platform 330 in communication;

[0154] Acquire the environmental monitoring data set of the target production plant through the production environment monitoring sensor cluster 310, and upload the environmental monitoring data set to the production environment control cloud platform 330, wherein the environmental monitoring data set includes multi-dimensional environmental monitoring data;

[0155] Each production device in the production device cluster 320 reports the device operation status to the production environment control cloud platform 330 to generate a production device operation status set;

[0156] The production environment control cloud platform 330 uses a preset ventilation volume confirmation model and determines a target ventilation volume according to the environmental monitoring data set and the production equipment operation status set;

[0157] The production environment control cloud platform 330 sends the target ventilation volume to the ventilation device 340 to instruct the ventilation device 340 to ventilate the target production plant according to the target ventilation volume.

[0158] Optionally, the step of acquiring the environmental monitoring data set of the target production plant through the production environment monitoring sensor cluster 310 includes:

[0159] Acquiring temperature monitoring data of the target production plant through the temperature sensor in the production environment monitoring sensor cluster 310;

[0160] Acquiring humidity monitoring data of the target production plant through the humidity sensor in the production environment monitoring sensor cluster 310;

[0161] Acquire dust concentration monitoring data of the target production plant through the dust concentration sensor in the production environment monitoring sensor cluster 310, wherein the environmental monitoring data set includes the temperature monitoring data, the humidity monitoring data and the dust concentration monitoring data;

[0162] Correspondingly, each production device in the production device cluster 320 reports the device operation status to the production environment control cloud platform 330 to generate a production device operation status set, including:

[0163] Each production device in the production device cluster 320 obtains a device operating status, where the device operating status includes a device on status and a device off status, to generate the production device operating status set.

[0164] Optionally, the production environment control cloud platform 330 uses a preset ventilation volume confirmation model and determines a target ventilation volume according to the environmental monitoring data set and the production equipment operation status set, including:

[0165] The production environment control cloud platform 330 determines the target ventilation volume and the dynamic ventilation demand coefficient according to the temperature monitoring data, the humidity monitoring data and the dust concentration monitoring data in the environmental monitoring data set and the production equipment operation status set;

[0166] The production environment control cloud platform 330 determines the target ventilation volume according to the dynamic ventilation demand coefficient K and a preset minimum ventilation volume.

[0167] Optionally, before the production environment control cloud platform 330 sends the target ventilation volume to the ventilation device 340, it also includes:

[0168] The production environment control cloud platform 330 determines the ventilation rate according to the target ventilation volume and the dust concentration monitoring data, and sends the ventilation rate to the ventilation device 340 .

[0169] Optionally, after the production environment control cloud platform 330 sends the target ventilation volume to the ventilation device 340, the method further includes:

[0170] After the ventilation device 340 performs ventilation operation at the ventilation rate, the first environment monitoring update data set of the target production plant is obtained through the production environment monitoring sensor cluster 310, and the first environment monitoring update data set is sent to the production environment control cloud platform 330;

[0171] The production environment control cloud platform 330 determines that there is at least one environment monitoring update data in the first environment monitoring update data set that is greater than the corresponding environment monitoring data threshold, then the production environment control cloud platform 330 instructs the ventilation device 340 to ventilate the target production plant at the maximum ventilation rate.

[0172] Optionally, after the production environment control cloud platform 330 sends the maximum ventilation rate to the ventilation device 340, the method further includes:

[0173] After the ventilation operation is performed at the maximum ventilation rate by the ventilation device 340, a second environment monitoring update data set of the target production plant is obtained by the production environment monitoring sensor cluster 310, and the second environment monitoring update data set is sent to the production environment control cloud platform 330;

[0174] If the second temperature monitoring data in the second environment monitoring update data set is greater than the preset environment temperature threshold, and the second humidity monitoring data is greater than the preset environment humidity threshold, the production environment control cloud platform 330 issues a first early warning alarm to the monitoring terminal; or,

[0175] If the second temperature monitoring data in the second environmental monitoring update data set is greater than the preset environmental temperature threshold, and the second dust concentration monitoring data is greater than the preset environmental dust concentration threshold, the production environment control cloud platform 330 issues a second warning alarm to the monitoring terminal, and the second warning alarm level is higher than the first warning alarm.

[0176] Optionally, after sending the second environment monitoring update data set to the production environment control cloud platform 330, the method further includes:

[0177] The production environment control cloud platform 330 determines that the second temperature monitoring data is greater than the first temperature monitoring data in the first environment monitoring update data set, and the first temperature monitoring data is greater than the temperature monitoring data; and / or the second humidity monitoring data is greater than the first humidity monitoring data in the first environment monitoring update data set, and the first humidity monitoring data is greater than the humidity monitoring data; and / or the second dust concentration monitoring data is greater than the first dust concentration monitoring data in the first environment monitoring update data set, and the first dust concentration monitoring data is greater than the dust concentration monitoring data, then the production environment control cloud platform 330 issues a third early warning alarm to the monitoring terminal and instructs the ventilation device 340 to suspend ventilation of the target production plant. The third early warning alarm level is higher than the second early warning alarm.

[0178] Figure 4 is a schematic diagram of the structure of an electronic device according to an exemplary embodiment of the present application. Figure 4 As shown, an electronic device 400 provided in this embodiment includes: a processor 401 and a memory 402; wherein:

[0179] The memory 402 is used to store computer programs, and the memory may also be a flash memory.

[0180] The processor 401 is used to execute the execution instructions stored in the memory to implement each step in the above method. For details, please refer to the relevant description in the above method embodiment.

[0181] Optionally, the memory 402 may be independent or integrated with the processor 401 .

[0182] When the memory 402 is a device independent of the processor 401, the electronic device 400 may further include:

[0183] The bus 403 is used to connect the memory 402 and the processor 401 .

[0184] This embodiment further provides a readable storage medium, in which a computer program is stored. When at least one processor of an electronic device executes the computer program, the electronic device executes the methods provided in the above-mentioned various implementation modes.

[0185] This embodiment also provides a program product, which includes a computer program stored in a readable storage medium. At least one processor of the electronic device can read the computer program from the readable storage medium, and at least one processor executes the computer program so that the electronic device implements the methods provided in the above various embodiments.

[0186] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the claims.

[0187] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A data processing method for production process control, characterized in that: Applied to a production process control system, the production process control system includes: a production environment monitoring sensor cluster, a production equipment cluster, a production environment control cloud platform and a ventilation device, each production environment monitoring sensor in the production environment monitoring sensor cluster, each production equipment in the production equipment cluster and the ventilation device are respectively connected to the production environment control cloud platform for communication; the method includes: Acquire an environmental monitoring data set of a target production plant through the production environment monitoring sensor cluster, and upload the environmental monitoring data set to the production environment control cloud platform, wherein the environmental monitoring data set includes multi-dimensional environmental monitoring data; Each production device in the production device cluster reports the device operation status to the production environment control cloud platform to generate a production device operation status set; The production environment control cloud platform uses a preset ventilation volume confirmation model and determines a target ventilation volume according to the environmental monitoring data set and the production equipment operation status set; The production environment control cloud platform sends the target ventilation volume to the ventilation device to instruct the ventilation device to ventilate the target production plant according to the target ventilation volume; The step of obtaining a set of environmental monitoring data of a target production plant through the production environment monitoring sensor cluster includes: Acquiring temperature monitoring data of the target production plant through the temperature sensor in the production environment monitoring sensor cluster; Acquiring humidity monitoring data of the target production plant through a humidity sensor in the production environment monitoring sensor cluster; Acquire dust concentration monitoring data of the target production plant through a dust concentration sensor in the production environment monitoring sensor cluster, wherein the environmental monitoring data set includes the temperature monitoring data, the humidity monitoring data and the dust concentration monitoring data; Correspondingly, each production device in the production device cluster reports the device operation status to the production environment control cloud platform to generate a production device operation status set, including: Each production device in the production device cluster acquires a device operation status, where the device operation status includes a device on status and a device off status, to generate the production device operation status set; The production environment control cloud platform uses a preset ventilation volume confirmation model and determines a target ventilation volume according to the environmental monitoring data set and the production equipment operation status set, including: The production environment control cloud platform uses formula 1 and according to the temperature monitoring data in the environmental monitoring data set , the humidity monitoring data And the dust concentration monitoring data Determine the target ventilation volume and the production equipment operating status set to determine the dynamic ventilation demand coefficient , wherein the formula 1 is: in, To calibrate the minimum dynamic ventilation demand factor , is the first weight value, is the second weight value, is the third weight value, is the fourth weight value, is the set ambient temperature of the target production plant, is the maximum value of the ambient temperature fluctuation of the target production plant, is the set ambient humidity of the target production plant, is the maximum value of the ambient humidity fluctuation set for the target production plant, is the minimum dust concentration value monitored by the dust concentration sensor, is the safe concentration threshold of the dust concentration, The production equipment cluster The operating status characteristic value of a production device, if the operating status of the device is the device is turned on, then , if the device operation state is the device shutdown state, then , The production equipment cluster The current operating power of production equipment, is the total number of production devices in the production device cluster, is the sum of the maximum operating powers of all production equipment in the production equipment cluster; The production environment control cloud platform uses formula 2 and according to the dynamic ventilation demand coefficient And preset the minimum ventilation volume to determine the target ventilation volume The formula 2 is: in, The preset minimum ventilation volume of the target production plant.

2. The data processing method for production process control according to claim 1, characterized in that: Before the production environment control cloud platform sends the target ventilation volume to the ventilation device, it also includes: The production environment control cloud platform determines the ventilation rate according to the target ventilation volume and the dust concentration monitoring data, and sends the ventilation rate to the ventilation device.

3. The data processing method for production process control according to claim 2, characterized in that: After the production environment control cloud platform sends the target ventilation volume to the ventilation device, the method further includes: After the ventilation device performs ventilation operation at the ventilation rate, obtaining a first environment monitoring update data set of the target production plant through the production environment monitoring sensor cluster, and sending the first environment monitoring update data set to the production environment control cloud platform; The production environment control cloud platform determines that there is at least one environment monitoring update data in the first environment monitoring update data set that is greater than the corresponding environment monitoring data threshold, then the production environment control cloud platform instructs the ventilation device to ventilate the target production plant at the maximum ventilation rate.

4. The data processing method for production process control according to claim 3, characterized in that: After the production environment control cloud platform sends the maximum ventilation rate to the ventilation device, the method further includes: After the ventilation operation is performed at the maximum ventilation rate through the ventilation device, a second environment monitoring update data set of the target production plant is obtained through the production environment monitoring sensor cluster, and the second environment monitoring update data set is sent to the production environment control cloud platform; If the second temperature monitoring data in the second environment monitoring update data set is greater than a preset environment temperature threshold, and the second humidity monitoring data is greater than a preset environment humidity threshold, the production environment control cloud platform sends a first early warning alarm to the monitoring terminal; or, If the second temperature monitoring data in the second environmental monitoring update data set is greater than the preset environmental temperature threshold, and the second dust concentration monitoring data is greater than the preset environmental dust concentration threshold, the production environment control cloud platform issues a second warning alarm to the monitoring terminal, and the second warning alarm level is higher than the first warning alarm.

5. The data processing method for production process control according to claim 4, characterized in that: After sending the second environment monitoring update data set to the production environment control cloud platform, the method further includes: The production environment control cloud platform determines that the second temperature monitoring data is greater than the first temperature monitoring data in the first environment monitoring update data set, and the first temperature monitoring data is greater than the temperature monitoring data; and / or the second humidity monitoring data is greater than the first humidity monitoring data in the first environment monitoring update data set, and the first humidity monitoring data is greater than the humidity monitoring data; and / or the second dust concentration monitoring data is greater than the first dust concentration monitoring data in the first environment monitoring update data set, and the first dust concentration monitoring data is greater than the dust concentration monitoring data, then the production environment control cloud platform issues a third early warning alarm to the monitoring terminal and instructs the ventilation device to suspend ventilation of the target production plant. The third early warning alarm level is higher than the second early warning alarm.

6. A production process control system, characterized in that: include: A production environment monitoring sensor cluster, a production equipment cluster, a production environment control cloud platform and a ventilation device, wherein each production environment monitoring sensor in the production environment monitoring sensor cluster, each production equipment in the production equipment cluster and the ventilation device are respectively connected to the production environment control cloud platform for communication; Acquire an environmental monitoring data set of a target production plant through the production environment monitoring sensor cluster, and upload the environmental monitoring data set to the production environment control cloud platform, wherein the environmental monitoring data set includes multi-dimensional environmental monitoring data; Each production device in the production device cluster reports the device operation status to the production environment control cloud platform to generate a production device operation status set; The production environment control cloud platform uses a preset ventilation volume confirmation model and determines a target ventilation volume according to the environmental monitoring data set and the production equipment operation status set; The production environment control cloud platform sends the target ventilation volume to the ventilation device to instruct the ventilation device to ventilate the target production plant according to the target ventilation volume; The step of obtaining a set of environmental monitoring data of a target production plant through the production environment monitoring sensor cluster includes: Acquiring temperature monitoring data of the target production plant through the temperature sensor in the production environment monitoring sensor cluster; Acquiring humidity monitoring data of the target production plant through a humidity sensor in the production environment monitoring sensor cluster; Acquire dust concentration monitoring data of the target production plant through a dust concentration sensor in the production environment monitoring sensor cluster, wherein the environmental monitoring data set includes the temperature monitoring data, the humidity monitoring data and the dust concentration monitoring data; Correspondingly, each production device in the production device cluster reports the device operation status to the production environment control cloud platform to generate a production device operation status set, including: Each production device in the production device cluster acquires a device operation status, where the device operation status includes a device on status and a device off status, to generate the production device operation status set; The production environment control cloud platform uses a preset ventilation volume confirmation model and determines a target ventilation volume according to the environmental monitoring data set and the production equipment operation status set, including: The production environment control cloud platform uses formula 1 and according to the temperature monitoring data in the environmental monitoring data set , the humidity monitoring data And the dust concentration monitoring data Determine the target ventilation volume and the production equipment operating status set to determine the dynamic ventilation demand coefficient , wherein the formula 1 is: in, To calibrate the minimum dynamic ventilation demand factor , is the first weight value, is the second weight value, is the third weight value, is the fourth weight value, is the set ambient temperature of the target production plant, is the maximum value of the ambient temperature fluctuation of the target production plant, is the set ambient humidity of the target production plant, is the maximum value of the ambient humidity fluctuation set for the target production plant, is the minimum dust concentration value monitored by the dust concentration sensor, is the safe concentration threshold of the dust concentration, The production equipment cluster The operating status characteristic value of a production device, if the operating status of the device is the device is turned on, then , if the device operation state is the device shutdown state, then , The production equipment cluster The current operating power of production equipment, is the total number of production devices in the production device cluster, is the sum of the maximum operating powers of all production equipment in the production equipment cluster; The production environment control cloud platform uses formula 2 and according to the dynamic ventilation demand coefficient And preset the minimum ventilation volume to determine the target ventilation volume The formula 2 is: in, The preset minimum ventilation volume of the target production plant.

7. An electronic device, characterized in that: include: processor; as well as, A memory, configured to store executable instructions of the processor; The processor is configured to perform the method of any one of claims 1 to 5 by executing the executable instructions.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 5 when executed by a processor.

Images