Intermediate frequency furnace cooling water system multi-role cooperative monitoring platform and monitoring method based on Web end

Abstract

The invention provides an intermediate frequency furnace cooling water system multi-role cooperative monitoring platform and monitoring method based on a Web end, and the platform comprises a data monitoring module which is used for carrying out the real-time collection of related parameters of a cooling water system; the early warning analysis module is used for comparing the related parameters with corresponding preset alarm thresholds and performing correlation analysis on various types of related parameters to judge whether the cooling water system is abnormal and has potential problems or not; the abnormity alarm notification module is used for notifying related personnel through multiple communication modes when the cooling water system is detected to have abnormity or potential problems; and the multi-role collaborative management module is used for users of different roles to operate and manage alarm notifications on the cloud and related data of the intermediate frequency furnace according to respective permissions. According to the system, abnormal conditions and potential problems of the cooling water system can be captured in time, an alarm can be given in time, and sharing of information of the cooling water system and all-around and multi-level management are achieved through a multi-role cooperative processing mechanism.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial equipment monitoring, and in particular to a Web-based multi-role collaborative monitoring platform and monitoring method for a medium frequency furnace cooling water system. Background Art

[0002] In the modern industrial production system, the medium frequency furnace is a key smelting equipment, and the stable operation of its cooling water system is a key factor in ensuring production continuity and safety. Existing monitoring systems generally lack collaborative support mechanisms for users with different roles, such as management, enterprise, and government. The monitoring systems used by users of different roles are independent of each other, and data cannot be shared and interacted. The information between the management, enterprise, and government ends is isolated, like information islands. Once a failure occurs, the response of all parties is slow, and an efficient disposal force cannot be formed. This leads to inefficient management of the medium frequency furnace cooling water system, and safety hazards are difficult to eliminate in a timely manner. Therefore, there is an urgent need for an innovative monitoring platform that can integrate multi-source data and realize multi-role collaborative monitoring. Summary of the Invention

[0003] The present invention provides a multi-role collaborative monitoring platform and monitoring method for the cooling water system of a medium frequency furnace based on the Web. Through real-time monitoring and precise early warning analysis, it can timely capture abnormal conditions and potential problems of the cooling water system of the medium frequency furnace and issue alarms in a timely manner. Through the collaborative cooperation of the management end, the enterprise end and the government end, the efficient circulation and sharing of monitoring information and the all-round and multi-level management of the cooling water system of the medium frequency furnace are realized.

[0004] The present invention provides a multi-role collaborative monitoring platform for the cooling water system of a medium frequency furnace based on a Web terminal, comprising:

[0005] The data monitoring module is used to collect relevant parameters of the cooling water system in real time and upload them to the cloud to generate corresponding visual animations;

[0006] The early warning analysis module is used to compare the relevant parameters with the corresponding preset alarm thresholds after receiving them from the cloud, and to conduct correlation analysis on multiple types of relevant parameters to determine whether there are any abnormalities or potential problems in the current cooling water system;

[0007] Abnormal alarm notification module, used to notify relevant personnel through various communication methods when abnormalities or potential problems are detected in the cooling water system;

[0008] The multi-role collaborative management module is used for users with different roles to operate and manage alarm notifications and medium frequency furnace-related data on the cloud according to their respective permissions.

[0009] Preferably, in a multi-role collaborative monitoring platform for a medium frequency furnace cooling water system based on a web terminal, the data monitoring module includes:

[0010] The data acquisition unit is used to collect relevant parameters of the cooling water system in real time using monitoring equipment installed at various key locations of the cooling water system;

[0011] The data storage unit is used to collect data in real time based on the intermediate frequency furnace number, upload it to the cloud and store it in groups;

[0012] The visualization unit is used to input each group data into the display cell of the corresponding water channel in the data table of the corresponding numbered intermediate frequency furnace for visualization, and generate a dynamic data graph based on the data corresponding to each cell according to the time axis and store it in a hidden manner;

[0013] When the user clicks on the corresponding cell, the corresponding hidden dynamic data chart is displayed.

[0014] Preferably, in a multi-role collaborative monitoring platform for a medium frequency furnace cooling water system based on a web terminal, the early warning analysis module includes:

[0015] The comparison and analysis unit is used to compare various relevant parameters with the corresponding preset alarm thresholds. When any alarm condition is met, it is determined that there is an abnormality in the cooling water system of the current intermediate frequency furnace;

[0016] The joint analysis unit is used to obtain all relevant parameters of the cooling water system of the same intermediate frequency furnace and compare them with the relevant parameters of multiple water channels of the same type when there is no abnormality in the current intermediate frequency furnace cooling water system, so as to determine whether there are sudden changes in parameters in the current intermediate frequency furnace cooling water system;

[0017] When there are sudden changes in parameters in the current intermediate frequency furnace cooling water system, potential problems are speculated based on the type of sudden changes and combined with the cooling water system abnormality cause comparison table. The potential problems of the cooling water system are determined, potential problem prompts are generated, and relevant personnel are notified through various communication methods.

[0018] When there is no sudden change in the parameters of the current intermediate frequency furnace cooling water system or there is no abnormality in the current intermediate frequency furnace cooling water system, the data fluctuation characteristics corresponding to each relevant parameter are obtained based on the visual animation;

[0019] Based on data fluctuation characteristics, the parameter values ​​of non-abnormal related parameters within a preset time period in the future are predicted. When the predicted result has a risk greater than the corresponding preset alarm threshold, an early warning of parameter abnormality is generated and relevant personnel are notified through various communication methods;

[0020] When the prediction result does not have a risk greater than the corresponding preset alarm threshold, it is determined that the current intermediate frequency furnace cooling water system is normal.

[0021] Preferably, in a multi-role collaborative monitoring platform for a medium frequency furnace cooling water system based on a web terminal, the abnormal alarm notification module includes:

[0022] The platform's external alarm module is used to generate a cooling abnormality warning voice or text message and send it to the responsible operation and maintenance personnel of the intermediate frequency furnace when an abnormality or potential problem is detected in the cooling water system;

[0023] The internal alarm module of the platform is used to send the cooling abnormality warning to the corresponding enterprise and government ends based on the enterprise information and number information corresponding to the cooling abnormality warning medium frequency furnace using the communication network, and record the cooling abnormality warning.

[0024] Preferably, in a multi-role collaborative monitoring platform for a medium frequency furnace cooling water system based on a web terminal, the multi-role collaborative management module includes:

[0025] The management side is used to handle platform operation problems and set and review the preset warning thresholds of the intermediate frequency furnace;

[0026] The enterprise side is used for enterprises to view the status of all medium frequency furnace cooling water systems within the enterprise and perform corresponding operations and management;

[0027] The government side is used for government regulatory officials to view the status of all medium frequency furnace cooling water systems within their jurisdiction and perform corresponding operations and management.

[0028] Preferably, in a multi-role collaborative monitoring platform for a medium frequency furnace cooling water system based on a web terminal, the management terminal includes:

[0029] The permission setting unit is used to set the operation and management permissions of users with different roles;

[0030] Problem handling unit, used by platform operation and maintenance personnel to handle platform operation problems;

[0031] The appeal review unit is used to manually review appeals for penalty points reduction submitted by enterprises;

[0032] The data review unit is used to review the custom alarm thresholds submitted by the enterprise. After receiving the custom alarm threshold application sent by the enterprise, it determines whether the alarm standard corresponding to the custom alarm threshold is higher than the alarm standard corresponding to the platform's preset alarm threshold;

[0033] If so, the application for custom alarm threshold is approved;

[0034] Otherwise, the company will obtain all the alarm records of the company's intermediate frequency furnace cooling water system based on the cloud. If it is determined that the company has alarm records, the application for the custom alarm threshold will be rejected.

[0035] When it is determined that the enterprise has no alarm records, historical dynamic data graphs corresponding to multiple relevant parameters are obtained based on the cloud. Based on the first alarm threshold of each relevant parameter corresponding to the platform's preset alarm threshold, a standard line is generated and added to the corresponding historical dynamic data graph to obtain a comparative historical data graph;

[0036] Based on the comparison of historical data charts, determine the alarm frequency of various relevant parameters of each medium frequency furnace in the enterprise;

[0037] When the alarm frequency of any relevant parameter is greater than the preset frequency, the application for the custom alarm threshold is rejected;

[0038] Otherwise, compare the plurality of second alarm thresholds corresponding to the custom alarm threshold with the corresponding first alarm threshold to obtain the corresponding adjustment step size;

[0039] The custom alarm threshold application for the relevant parameters whose corresponding adjustment step size is less than or equal to the maximum preset step size is passed, and the custom alarm threshold application for the relevant parameters whose corresponding adjustment step size is greater than the maximum preset step size is simultaneously rejected.

[0040] Preferably, in a multi-role collaborative monitoring platform for a medium frequency furnace cooling water system based on a web terminal, the enterprise terminal includes:

[0041] The enterprise management unit is used by enterprise managers to set the responsible operation and maintenance personnel corresponding to the intermediate frequency furnace and their corresponding personal information as well as the alarm thresholds of each intermediate frequency furnace;

[0042] Enterprise query unit, used to view real-time monitoring data of all medium frequency furnaces and their corresponding cooling water systems within the enterprise;

[0043] The data statistics unit is used to collect statistics on the monitoring data of the cooling water system of each intermediate frequency furnace in the enterprise and record the alarm information of each intermediate frequency furnace;

[0044] Based on the alarm information, the alarm frequency and common abnormal causes of each medium frequency furnace are determined respectively, and the enterprise internal alarm analysis results are generated for display;

[0045] The intelligent setting unit is used to perform risk scoring on the cooling water system of each intermediate frequency furnace based on the results of internal alarm analysis of the enterprise, and to classify the cooling water system of each intermediate frequency furnace into monitoring levels based on the scoring results;

[0046] According to the monitoring level classification results, the data collection frequency of each medium frequency furnace cooling water system monitoring equipment is adaptively adjusted;

[0047] An intelligent recommendation unit is used to synchronously obtain the occurrence frequency corresponding to each common abnormality cause, obtain multiple average time intervals and the abnormality weight of each common abnormality cause based on the occurrence frequency, and calculate the recommended maintenance time interval based on the abnormality weight of each common abnormality cause and its corresponding average time interval;

[0048] Based on the recommended maintenance time interval, operation and maintenance recommendation information is generated, displayed, and synchronously sent to the responsible operation and maintenance personnel corresponding to the medium frequency furnace.

[0049] Preferably, in a multi-role collaborative monitoring platform for a medium frequency furnace cooling water system based on a web terminal, the government terminal includes:

[0050] The intelligent scoring unit is used to obtain the status data of each company's intermediate frequency furnace monitoring equipment in real time, and conduct a multi-dimensional joint analysis of the status data of multiple monitoring devices of the same intermediate frequency furnace to determine whether there is a risk of manual shutdown of the monitoring equipment of each intermediate frequency furnace;

[0051] If it does not exist, only the target medium frequency furnace will be marked as a monitoring device failure;

[0052] If it exists, the monitoring status of the target intermediate frequency furnace is marked as a risky state;

[0053] When a target intermediate frequency furnace is marked as risky, if the company to which the target intermediate frequency furnace belongs submits a risk status complaint and repair certificate to the platform within the preset time and the complaint is approved by the management end, the system will automatically remove the risk status mark;

[0054] Otherwise, based on the preset score, the corresponding enterprise of the target intermediate frequency furnace will be deducted points, and an alarm record will be made for the target intermediate frequency furnace;

[0055] The overall management unit is used by government supervisors to view the status of all medium frequency furnace cooling water systems within their jurisdiction and their corresponding uploaded data;

[0056] According to the corresponding enterprise of the intermediate frequency furnace, the alarm data of the intermediate frequency furnace cooling water system and the fault marks of the monitoring equipment are intelligently counted and the corresponding visual images are generated;

[0057] At the same time, based on the scoring results of the intelligent scoring unit, a list of enterprise scores from high to low is generated, and enterprise scores below the minimum threshold are highlighted;

[0058] The notification sending unit is used by the government regulatory officer to send corresponding regulatory penalty notices to the corresponding enterprises.

[0059] Preferably, in a multi-role collaborative monitoring platform for a medium frequency furnace cooling water system based on a web terminal, the multi-role collaborative management module further includes:

[0060] The risk analysis submodule is used to evaluate the abnormal risk of the cooling water system based on the abnormal data and potential problem data of the abnormal cooling water system, combined with the internal medium frequency furnace distribution information and enterprise location information uploaded by the enterprise;

[0061] When the abnormal risk level of the cooling water system is greater than the preset risk level, a high-risk warning will be immediately sent to the corresponding responsible persons on the management, enterprise and government sides.

[0062] The present invention provides a multi-role collaborative monitoring method for a medium frequency furnace cooling water system based on a Web terminal, comprising:

[0063] Collect relevant parameters of the cooling water system in real time and upload them to the cloud to generate corresponding visual animations;

[0064] After receiving the relevant parameters, the cloud compares them with the corresponding preset alarm thresholds and conducts correlation analysis on various related parameters to determine whether there are any abnormalities or potential problems in the current cooling water system.

[0065] When an anomaly or potential problem is detected in the cooling water system, relevant personnel are notified through various communication methods;

[0066] Users with different roles operate and manage alarm notifications and medium frequency furnace-related data on the cloud according to their respective permissions.

[0067] Compared with the prior art, the present invention has at least the following beneficial effects:

[0068] The present invention realizes the real-time collection and visualization of the relevant parameters of the cooling water system through the data monitoring module. The staff can intuitively view the operating status of the cooling water system through the Web terminal without having to go to the site in person, and timely grasp the dynamic changes of key data such as the water temperature, water pressure, and flow of the cooling water system, which greatly improves the monitoring efficiency and effectively avoids system failures caused by untimely manual inspections. Subsequently, the early warning analysis module can not only compare the real-time parameters with the preset alarm threshold, but also perform correlation analysis on multiple types of related parameters. This intelligent early warning method can accurately identify the hidden anomalies and potential problems in the cooling water system. Compared with a single threshold judgment, it can not only timely discover the abnormal problems that have occurred in the cooling water system, but also discover in advance the subtle hidden dangers that may cause the cooling water system failure, greatly reducing the risk of damage to the medium frequency furnace and production accidents. Then, the abnormal alarm notification module supports multiple communication methods. When the system detects an abnormality or potential problem, it can quickly notify the relevant personnel through multiple channels such as text messages, emails, instant messaging software, etc. No matter where the relevant personnel are, they can obtain the alarm information in the first time so that they can quickly take countermeasures, reduce the response time of fault handling, and reduce production losses caused by faults. Through the multi-role collaborative management module, users of different roles are granted corresponding permissions. The management, enterprise, and government sides each perform their duties and work together. The management side is responsible for ensuring stable system operation and reasonable parameter configuration, laying a solid operational foundation for the monitoring platform; the enterprise side focuses on monitoring and maintaining its own equipment to ensure safe operation; the government side conducts supervision and decision-making at a macro level. Through data sharing and collaborative operations, the three parties break down information barriers and form an organic whole, achieving all-round, multi-level management of the medium-frequency furnace cooling water system, which is conducive to promoting the development of industrial production safety management towards standardization, refinement, and coordination.

[0069] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in this application document.

[0070] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0072] Figure 1 This is the structural diagram of the multi-role collaborative monitoring platform for the intermediate frequency furnace cooling water system based on the Web terminal;

[0073] Figure 2 This is the structural diagram of the data monitoring module;

[0074] Figure 3 This is the structural diagram of the early warning analysis module;

[0075] Figure 4 This is the structural diagram of the abnormal alarm notification module;

[0076] Figure 5 This is the structural diagram of the multi-role collaborative management module. DETAILED DESCRIPTION

[0077] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0078] Example 1:

[0079] The present invention provides a multi-role collaborative monitoring platform for the cooling water system of a medium frequency furnace based on a Web terminal, such as Figure 1 Shown, including:

[0080] The data monitoring module is used to collect relevant parameters of the cooling water system in real time and upload them to the cloud to generate corresponding visual animations;

[0081] The early warning analysis module is used to compare the relevant parameters with the corresponding preset alarm thresholds after receiving them from the cloud, and to conduct correlation analysis on multiple types of relevant parameters to determine whether there are any abnormalities or potential problems in the current cooling water system;

[0082] Abnormal alarm notification module, used to notify relevant personnel through various communication methods when abnormalities or potential problems are detected in the cooling water system;

[0083] The multi-role collaborative management module is used for users with different roles to operate and manage alarm notifications and medium frequency furnace-related data on the cloud according to their respective permissions.

[0084] In this embodiment, the relevant parameters include key parameters of multiple dimensions of the medium frequency furnace, including but not limited to the opening and closing status of the medium frequency furnace, temperature, flow rate, flow rate difference, pressure, etc.

[0085] The beneficial effects of the above technical solution: The present invention realizes the real-time collection and visual display of the relevant parameters of the cooling water system through the data monitoring module. The staff does not need to go to the site in person, and can visually view the operating status of the cooling water system through the Web terminal, and timely grasp the dynamic changes of key data such as water temperature, water pressure, and flow of the cooling water system, which greatly improves the monitoring efficiency and effectively avoids system failures caused by untimely manual inspections. Afterwards, the early warning analysis module can not only compare the real-time parameters with the preset alarm thresholds, but also perform correlation analysis on various types of related parameters. This intelligent early warning method can accurately identify hidden anomalies and potential problems in the cooling water system. Compared with a single threshold judgment, it can not only timely discover abnormal problems that have occurred in the cooling water system, but also discover in advance subtle hidden dangers that may cause cooling water system failures, greatly reducing the risk of damage to the medium frequency furnace and production accidents. Then, through the abnormal alarm notification module, multiple communication methods are supported. When the system detects an abnormality or potential problem, it can quickly notify relevant personnel through multiple channels such as SMS, email, instant messaging software, etc. No matter where the relevant personnel are, they can obtain alarm information at the first time so that they can quickly take countermeasures, reduce the response time of fault handling, and reduce production losses caused by faults. And through the multi-role collaborative management module, users of different roles are given corresponding permissions. The three roles of management, enterprise and government each perform their duties and work together. The management side is responsible for ensuring the stable operation of the system and the reasonable configuration of parameters, laying a solid foundation for the operation of the monitoring platform; the enterprise side focuses on the monitoring and maintenance of its own equipment to ensure the safe operation of the equipment; the government side conducts supervision and decision-making from a macro level. The three parties break down information barriers through data sharing and collaborative operations, forming an organic whole, and realizing all-round and multi-level management of the medium frequency furnace cooling water system, which is conducive to promoting the development of industrial production safety management towards standardization, refinement and coordination.

[0086] Example 2:

[0087] Based on Example 1, the data monitoring module, such as Figure 2 Shown, including:

[0088] The data acquisition unit is used to collect relevant parameters of the cooling water system in real time using monitoring equipment installed at various key locations of the cooling water system;

[0089] The data storage unit is used to collect data in real time based on the intermediate frequency furnace number, upload it to the cloud and store it in groups;

[0090] The visualization unit is used to input each group data into the display cell of the corresponding water channel in the data table of the corresponding numbered intermediate frequency furnace for visualization, and generate a dynamic data graph based on the data corresponding to each cell according to the time axis and store it in a hidden manner;

[0091] When the user clicks on the corresponding cell, the corresponding hidden dynamic data chart is displayed.

[0092] In this embodiment, the monitoring equipment includes but is not limited to flow monitoring equipment, temperature monitoring equipment and pressure monitoring equipment.

[0093] In this embodiment, the key positions include at least one of the inlets and outlets of the cooling water system, the cooling pipes in direct contact with the intermediate frequency furnace, the water pumps and valves, the heat exchanger positions, and the elbows and interfaces of the pipes.

[0094] In this embodiment, the serial number of each intermediate frequency furnace is unique, and includes information such as the region to which the intermediate frequency furnace belongs, the enterprise, the year of the equipment, and the number of equipment within the enterprise.

[0095] The beneficial effects of the above technical solution: The present invention deploys monitoring equipment at key positions of the cooling water system through the data acquisition unit to achieve real-time and accurate collection of core parameters such as water temperature, water pressure, and flow, and realizes a full-coverage data acquisition method, avoiding data loss due to monitoring blind spots, ensuring that the acquired system operation data is true, complete and timely, and providing a reliable data basis for subsequent early warning analysis and fault diagnosis. The data storage unit groups the collected data according to the intermediate frequency furnace number and uploads it to the cloud storage, building a clear data management architecture; when it is necessary to query the operating data of a specific intermediate frequency furnace, the staff can quickly locate and retrieve the relevant data without having to screen one by one in the massive data, greatly improving the efficiency of data retrieval and calling. At the same time, cloud storage has the characteristics of high capacity and high stability, ensuring data security and not being lost, and facilitating the long-term storage and accumulation of data, providing data support for long-term analysis and trend prediction of system operation status. The grouped data is then displayed in an intuitive manner in the data table of the corresponding numbered medium frequency furnace through the visualization unit. By mapping the data to the display cells of each water channel, the staff can view the operating parameters of each part of the system at a glance, and generate dynamic data graphs on this basis. When the user clicks on a cell, the hidden dynamic data graph is displayed in time, which can clearly show the changing trends of different related parameters over time, which is conducive to managers from all parties to promptly discover data fluctuations and anomalies, and provide strong visualization support for system optimization and adjustment and fault prevention.

[0096] Example 3:

[0097] Based on Example 1, the early warning analysis module, such as Figure 3 Shown, including:

[0098] The comparison and analysis unit is used to compare various relevant parameters with the corresponding preset alarm thresholds. When any alarm condition is met, it is determined that there is an abnormality in the cooling water system of the current intermediate frequency furnace;

[0099] The joint analysis unit is used to obtain all relevant parameters of the cooling water system of the same intermediate frequency furnace and compare them with the relevant parameters of multiple water channels of the same type when there is no abnormality in the current intermediate frequency furnace cooling water system, so as to determine whether there are sudden changes in parameters in the current intermediate frequency furnace cooling water system;

[0100] When there are sudden changes in parameters in the current intermediate frequency furnace cooling water system, potential problems are speculated based on the type of sudden changes and combined with the cooling water system abnormality cause comparison table. The potential problems of the cooling water system are determined, potential problem prompts are generated, and relevant personnel are notified through various communication methods.

[0101] When there is no sudden change in the parameters of the current intermediate frequency furnace cooling water system or there is no abnormality in the current intermediate frequency furnace cooling water system, the data fluctuation characteristics corresponding to each relevant parameter are obtained based on the visual animation;

[0102] Based on data fluctuation characteristics, the parameter values ​​of non-abnormal related parameters within a preset time period in the future are predicted. When the predicted result has a risk greater than the corresponding preset alarm threshold, an early warning of parameter abnormality is generated and relevant personnel are notified through various communication methods;

[0103] When the prediction result does not have a risk greater than the corresponding preset alarm threshold, it is determined that the current intermediate frequency furnace cooling water system is normal.

[0104] In this embodiment, the cooling water system abnormality cause comparison table integrates a large number of historical failure cases and expert experience knowledge, covering various potential causes such as pipe blockage, sensor failure, water pump abnormality, etc., and is automatically updated periodically according to preset time intervals.

[0105] In this embodiment, the parameter abnormality early warning refers to an alarm notification generated when a relevant parameter of the cooling water system changes suddenly.

[0106] In this embodiment, a sudden change parameter means that when the comparative analysis unit determines that there is no abnormality in the cooling water system of the current intermediate frequency furnace, the joint analysis unit will obtain the relevant parameters of multiple water channels of the same type from all the relevant parameters of the cooling water system of the same intermediate frequency furnace (such as the water temperature, water pressure and other parameters of multiple cooling water pipes) for comparison. During the comparison process, if it is found that one or more parameters have undergone significant changes that do not conform to the normal fluctuation pattern in a short period of time, the parameter is identified as a sudden change parameter; or if the relevant parameters of the same type of multiple (at least two) water channels of the same intermediate frequency furnace cooling system are the same, but the relevant parameters of one of the water channels are different from the relevant parameters of other water channels under the control of non-control devices, the relevant parameters of the type corresponding to the water channel are sudden changes.

[0107] The beneficial effects of the above technical solution are as follows: The present invention utilizes an early warning analysis module in conjunction with a comparative analysis unit and a joint analysis unit to construct a multi-level anomaly detection system. The comparative analysis unit compares real-time parameters with preset alarm thresholds, quickly identifying abnormal data that significantly exceeds the normal range and triggering an alarm in a timely manner. The joint analysis unit automatically initiates a horizontal comparison of waterway parameters, accurately identifying irregular parameter changes within a short period of time and sensitively capturing parameter mutations. These two approaches complement each other, avoiding the limitations of single-factor analysis and effectively ensuring that all types of anomalies and potential problems in the cooling water system can be accurately identified, thereby improving the comprehensiveness and accuracy of system anomaly detection. When a sudden change in a parameter is detected, the joint analysis unit analyzes the type of sudden change in the parameter based on a comparison table of cooling water system abnormality causes, inferring potential system problems. This enables analysis that combines real-time data with historical experience, identifying potential factors that may cause failures at their root. When a potential problem is discovered, a potential problem alert is immediately generated and promptly notified to relevant personnel, enabling personnel to take preventive maintenance measures and nip potential failures in the bud. This effectively reduces the probability of sudden failures in the cooling water system, thereby minimizing production interruptions and economic losses caused by such failures. When there are no obvious abnormalities or sudden changes in parameters in the cooling water system, the parameter values ​​of non-abnormal related parameters within a preset time period in the future can still be predicted based on the data fluctuation characteristics extracted from the visual animation. When the prediction results show that there is a risk of exceeding the preset alarm threshold, a parameter abnormality warning is generated in advance and relevant personnel are notified, forming a forward-looking early warning mechanism, which transforms the abnormal warning of the cooling water system from passive response to faults to active risk prevention and control. Staff can adjust the system operating parameters and arrange maintenance plans in advance according to the warning information to avoid the problem from worsening, ensure the stable operation of the medium frequency furnace cooling water system, and thus improve the continuity and reliability of industrial production.

[0108] Example 4:

[0109] Based on Example 1, the abnormal alarm notification module, such as Figure 4 Shown, including:

[0110] The platform's external alarm module is used to generate a cooling abnormality warning voice or text message and send it to the responsible operation and maintenance personnel of the intermediate frequency furnace when an abnormality or potential problem is detected in the cooling water system;

[0111] The internal alarm module of the platform is used to send the cooling abnormality warning to the corresponding enterprise and government ends based on the enterprise information and number information corresponding to the cooling abnormality warning medium frequency furnace using the communication network, and record the cooling abnormality warning.

[0112] Beneficial effects of the above technical solution: The present invention adopts a dual-track mechanism of platform external alarm and platform internal alarm. The platform external alarm module sends the cooling abnormality warning directly to the responsible operation and maintenance personnel in the form of voice or text message, breaking through the time and space limitations. Even if the operation and maintenance personnel are in a complex environment or have not logged into the system, they can receive the alarm in the first time and rush to the scene to deal with it immediately, ensuring that key information is not missed; the platform internal alarm module is based on the enterprise and number information of the medium frequency furnace, accurately pushes the warning to the corresponding enterprise end and government end, realizes the efficient flow of information within the management system, and builds an all-round, no-dead-angle information access network to ensure that abnormal information can be quickly transmitted to all relevant parties, breaking down information barriers, promoting multi-party collaboration and linkage, and effectively avoiding delays in fault handling due to poor information transmission.

[0113] Example 5:

[0114] Based on Example 1, the multi-role collaborative management module, such as Figure 5 Shown, including:

[0115] The management side is used to handle platform operation problems and set and review the preset warning thresholds of the intermediate frequency furnace;

[0116] The enterprise side is used for enterprises to view the status of all medium frequency furnace cooling water systems within the enterprise and perform corresponding operations and management;

[0117] The government side is used for government regulatory officials to view the status of all medium frequency furnace cooling water systems within their jurisdiction and perform corresponding operations and management.

[0118] Beneficial effects of the above technical solution: The present invention clearly divides the responsibilities of the management side, the enterprise side and the government side through a multi-role collaborative management module. The management side focuses on platform operation maintenance and early warning threshold review, and relies on professional technical capabilities to ensure the stable operation of the platform and ensure that the early warning standards are scientific and reasonable; the enterprise side focuses on the management of the cooling water system of the medium frequency furnace within its own enterprise, and flexibly adjusts the equipment operating parameters and arranges maintenance plans according to actual production; the government side, from a macro-regulatory perspective, grasps the overall operation of all medium frequency furnaces in the jurisdiction, controls the industry's safety situation, breaks down the information barriers of relevant parties, realizes real-time data sharing, and meets diversified management demands. At the same time, it also effectively avoids the overlapping of responsibilities of multiple parties and management gaps, allowing each role to perform its duties, thereby significantly improving the supervision efficiency and professionalism of the cooling water system of the medium frequency furnace.

[0119] Example 6:

[0120] Based on Example 5, the management end includes:

[0121] The permission setting unit is used to set the operation and management permissions of users with different roles;

[0122] Problem handling unit, used by platform operation and maintenance personnel to handle platform operation problems;

[0123] The appeal review unit is used to manually review appeals for penalty points reduction submitted by enterprises;

[0124] The data review unit is used to review the custom alarm thresholds submitted by the enterprise. After receiving the custom alarm threshold application sent by the enterprise, it determines whether the alarm standard corresponding to the custom alarm threshold is higher than the alarm standard corresponding to the platform's preset alarm threshold;

[0125] If so, the application for custom alarm threshold is approved;

[0126] Otherwise, the company will obtain all the alarm records of the company's intermediate frequency furnace cooling water system based on the cloud. If it is determined that the company has alarm records, the application for the custom alarm threshold will be rejected.

[0127] When it is determined that the enterprise has no alarm records, historical dynamic data graphs corresponding to multiple relevant parameters are obtained based on the cloud. Based on the first alarm threshold of each relevant parameter corresponding to the platform's preset alarm threshold, a standard line is generated and added to the corresponding historical dynamic data graph to obtain a comparative historical data graph;

[0128] Based on the comparison of historical data charts, determine the alarm frequency of various relevant parameters of each medium frequency furnace in the enterprise;

[0129] When the alarm frequency of any relevant parameter is greater than the preset frequency, the application for the custom alarm threshold is rejected;

[0130] Otherwise, compare the plurality of second alarm thresholds corresponding to the custom alarm threshold with the corresponding first alarm threshold to obtain the corresponding adjustment step size;

[0131] The custom alarm threshold application for the relevant parameters whose corresponding adjustment step size is less than or equal to the maximum preset step size is passed, and the custom alarm threshold application for the relevant parameters whose corresponding adjustment step size is greater than the maximum preset step size is simultaneously rejected.

[0132] Beneficial effects of the above technical solution: The present invention uses the permission setting unit to make detailed divisions of the operation and management permissions of users of different roles, and builds a strict data access control system. Whether it is the enterprise side, the government side or the platform operation and maintenance personnel, they can only obtain the operation permissions related to their own responsibilities, effectively preventing unauthorized access and misoperation of data. For example, the enterprise side cannot arbitrarily modify the regulatory data of the government side, and the government side cannot interfere with the equipment management operations within the enterprise. Accurate permission settings not only ensure data security, but also avoid management chaos, laying a solid foundation for the stable operation of the platform. The problem handling unit gives the platform operation and maintenance personnel the ability to quickly respond to and solve platform operation problems. Once the platform has data transmission anomalies, system freezes and other failures, the operation and maintenance personnel can intervene quickly, and use the unit to efficiently troubleshoot and repair problems, reducing the platform failure time, which not only ensures the normal use of the enterprise side and the government side, but also ensures the real-time and accurate monitoring of the cooling water system data of the medium frequency furnace, avoids reducing the probability of monitoring interruptions and management disconnections due to platform failures, and ensures the continuity and stability of the platform operation. The appeal review unit manually reviews the appeals for point reductions submitted by enterprises, and professionals conduct detailed verification of the appeal content based on actual conditions to avoid unreasonable penalties due to misjudgment or misunderstanding, safeguard the legitimate rights and interests of enterprises, and ensure the fairness of management decisions. The data review unit first compares the customized alarm threshold with the platform's preset alarm threshold, and preliminarily screens out obviously unreasonable applications; for situations that require further evaluation, the rationality of the threshold setting is comprehensively judged by analyzing the enterprise's alarm records, historical dynamic data graphs, alarm frequencies and other information, effectively avoiding the problem of enterprises ignoring potential risks due to blindly lowering the alarm threshold, or causing the warning to fail due to excessively raising the threshold. The preset alarm threshold is guaranteed to the maximum extent, which can not only meet the personalized management needs of enterprises, but also ensure the effectiveness of the system's early warning mechanism, and improve the accuracy and flexibility of risk prevention and control of the medium frequency furnace cooling water system.

[0133] Example 7:

[0134] Based on Example 5, the enterprise side includes:

[0135] The enterprise management unit is used by enterprise managers to set the responsible operation and maintenance personnel corresponding to the intermediate frequency furnace and their corresponding personal information as well as the alarm thresholds of each intermediate frequency furnace;

[0136] Enterprise query unit, used to view real-time monitoring data of all medium frequency furnaces and their corresponding cooling water systems within the enterprise;

[0137] The data statistics unit is used to collect statistics on the monitoring data of the cooling water system of each intermediate frequency furnace in the enterprise and record the alarm information of each intermediate frequency furnace;

[0138] Based on the alarm information, the alarm frequency and common abnormal causes of each medium frequency furnace are determined respectively, and the enterprise internal alarm analysis results are generated for display;

[0139] The intelligent setting unit is used to perform risk scoring on the cooling water system of each intermediate frequency furnace based on the results of internal alarm analysis of the enterprise, and to classify the cooling water system of each intermediate frequency furnace into monitoring levels based on the scoring results;

[0140] According to the monitoring level classification results, the data collection frequency of each medium frequency furnace cooling water system monitoring equipment is adaptively adjusted;

[0141] An intelligent recommendation unit is used to synchronously obtain the occurrence frequency corresponding to each common abnormality cause, obtain multiple average time intervals and the abnormality weight of each common abnormality cause based on the occurrence frequency, and calculate the recommended maintenance time interval based on the abnormality weight of each common abnormality cause and its corresponding average time interval;

[0142] Based on the recommended maintenance time interval, operation and maintenance recommendation information is generated, displayed, and synchronously sent to the responsible operation and maintenance personnel corresponding to the medium frequency furnace.

[0143] In this embodiment, conventional abnormal causes refer to common faults in the cooling water system of the intermediate frequency furnace, such as waterway blockage, water pump failure, PLC control system problems, etc.

[0144] In this embodiment, the abnormality weight refers to the ratio of the occurrence frequency of any one conventional abnormality cause to the total occurrence frequency of all conventional abnormality causes.

[0145] The beneficial effects of the above technical solution: The present invention gives enterprise managers the ability to centrally allocate resources through the enterprise management unit, and can uniformly set the responsible operation and maintenance personnel of the medium frequency furnace and their personal information, clearly define the responsibilities of personnel, and help avoid the emergence of operation and maintenance vacuums or overlapping responsibilities. The manager can set the alarm threshold of the medium frequency furnace based on factors such as equipment characteristics and production conditions, and the warning standard of the cooling water system is more in line with the actual needs of the enterprise, thereby providing a guarantee for the timeliness of abnormal alarms of the cooling water systems of medium frequency furnaces in different enterprises. The enterprise query unit supports enterprises to view the status of all internal medium frequency furnaces and their cooling water system monitoring data in real time, and intuitively present the equipment operating parameters through a visual interface. Whether it is fluctuations in key parameters such as water temperature and water pressure, or changes in the start and stop status of the medium frequency furnace, they can all be seen at a glance, which is conducive to assisting management personnel to quickly grasp the actual operating trends and potential anomalies of each medium frequency furnace cooling water system, and provide strong support for enterprises to promptly discover equipment hazards and adjust production arrangements. The data statistics unit can also be used to realize intelligent statistics of monitoring data and alarm information of the medium frequency furnace cooling water system. By generating internal alarm analysis results of the enterprise, the areas and time periods with high incidence of equipment failures are displayed in the form of intuitive charts, helping enterprise managers to extract key information from massive data, identify weak links in the management of the medium frequency furnace cooling water system, and provide data support for formulating scientific cooling water system maintenance strategies and optimizing production processes. Based on the alarm analysis results, the intelligent setting unit can be used to conduct risk scoring and monitoring level division of the medium frequency furnace cooling water system, realizing dynamic adaptive adjustment of cooling water system management. For high-risk equipment, the data collection frequency of the monitoring equipment is automatically increased, providing a guarantee for the timely capture of subtle abnormal changes; for low-risk equipment, the collection frequency is appropriately reduced, and system resources are reasonably allocated. Under the premise of ensuring the safe operation of the equipment, data redundancy and system load are effectively reduced, thereby improving the data processing efficiency of the enterprise end. The intelligent recommendation unit comprehensively considers factors such as the frequency of occurrence of common abnormal causes and abnormal weights, calculates the recommended maintenance time interval, generates accurate operation and maintenance recommendation information, and pushes this information directly to the responsible operation and maintenance personnel, providing a scientific basis for the operation and maintenance personnel to formulate maintenance plans, and transforming passive maintenance into active maintenance. It can not only significantly reduce the probability of sudden equipment failures and reduce production interruption losses, but also extend the service life of equipment and improve the overall operation and maintenance management level of the enterprise.

[0146] Example 8:

[0147] Based on Example 5, the government side includes:

[0148] The intelligent scoring unit is used to obtain the status data of each company's intermediate frequency furnace monitoring equipment in real time, and conduct a multi-dimensional joint analysis of the status data of multiple monitoring devices of the same intermediate frequency furnace to determine whether there is a risk of manual shutdown of the monitoring equipment of each intermediate frequency furnace;

[0149] If it does not exist, only the target medium frequency furnace will be marked as a monitoring device failure;

[0150] If it exists, the monitoring status of the target intermediate frequency furnace is marked as a risky state;

[0151] When a target intermediate frequency furnace is marked as risky, if the company to which the target intermediate frequency furnace belongs submits a risk status complaint and repair certificate to the platform within the preset time and the complaint is approved by the management end, the system will automatically remove the risk status mark;

[0152] Otherwise, based on the preset score, the corresponding enterprise of the target intermediate frequency furnace will be deducted points, and an alarm record will be made for the target intermediate frequency furnace;

[0153] The overall management unit is used by government supervisors to view the status of all medium frequency furnace cooling water systems within their jurisdiction and their corresponding uploaded data;

[0154] According to the corresponding enterprise of the intermediate frequency furnace, the alarm data of the intermediate frequency furnace cooling water system and the fault marks of the monitoring equipment are intelligently counted and the corresponding visual images are generated;

[0155] At the same time, based on the scoring results of the intelligent scoring unit, a list of enterprise scores from high to low is generated, and enterprise scores below the minimum threshold are highlighted;

[0156] The notification sending unit is used by the government regulatory officer to send corresponding regulatory penalty notices to the corresponding enterprises.

[0157] The beneficial effects of the above technical solution: The present invention first jointly analyzes the monitoring equipment status data through multiple dimensions (equipment operation logic, data transmission rules and other factors) of the intelligent scoring unit, timely discovers abnormal data interruptions or unreasonable fluctuations, and accurately identifies the illegal behavior of enterprises manually shutting down monitoring equipment. For example, enterprises shut down monitoring equipment to cover up equipment abnormalities and evade supervision, effectively avoiding the problem of enterprises hiding the true operating status of equipment through improper means, curbing the phenomenon of human interference in supervision from the source, thereby ensuring the authenticity and integrity of supervision data and ensuring the reliability of enterprise equipment information held by the government. The intelligent scoring unit adopts a differentiated processing strategy for the two different situations of monitoring equipment failure and the risk of manual shutdown. When only equipment failure exists, the fault is marked, facilitating the government's subsequent targeted guidance on the operation and maintenance of the enterprise's cooling water system. When there is a risk of manual shutdown, it is marked as a risk state and strictly handled, allowing the government to accurately invest regulatory resources in high-risk enterprises and issues, thereby avoiding excessive intervention in ordinary equipment failures. For enterprises marked as risky, an appeal and review process is established, providing enterprises with reasonable appeal channels. If the enterprise believes that the mark is incorrect or has completed rectification, it can submit an appeal and repair certificate. After approval by the management end, the mark will be removed. This not only protects the legitimate rights and interests of the enterprise, avoids misjudgments that affect the normal production of the enterprise, but also promotes communication between the government and enterprises. Subsequently, the overall management unit integrates the data of all medium-frequency furnace cooling water systems within its jurisdiction. Through intelligent statistics and visualization of information such as alarm data and monitoring equipment fault marks, it provides government regulatory officials with an intuitive and comprehensive view of the industry's security situation. Combined with the enterprise score display list generated by the intelligent scoring unit, it can help government agencies quickly locate high-risk enterprises, high-failure equipment, and areas with frequent abnormalities. For example, visualization can clearly show that water temperature alarms for medium-frequency furnaces are concentrated across multiple companies in a given area. This allows the government to analyze potential common issues, such as water pollution and abnormal water source temperatures, and formulate scientific and rational regulatory policies and solutions, enabling accurate decision-making. Finally, a notification sending unit can promptly send regulatory penalty notices to the corresponding companies, greatly enhancing the timeliness of government oversight.

[0158] Example 9:

[0159] Based on Example 5, the multi-role collaborative management module, such as Figure 5 As shown, it also includes:

[0160] The risk analysis submodule is used to evaluate the abnormal risk of the cooling water system based on the abnormal data and potential problem data of the abnormal cooling water system, combined with the internal medium frequency furnace distribution information and enterprise location information uploaded by the enterprise;

[0161] When the abnormal risk level of the cooling water system is greater than the preset risk level, a high-risk warning will be immediately sent to the corresponding responsible persons on the management, enterprise and government sides.

[0162] The beneficial effects of the above technical solution are as follows: This invention integrates abnormal cooling water system data and potential problem data through the risk analysis submodule, combined with internal intermediate frequency furnace distribution information and enterprise location information uploaded by the enterprise, to conduct a comprehensive, multi-level analysis. By combining equipment abnormality data with the actual enterprise layout, the scope and severity of abnormal risks can be more accurately determined. For example, when an abnormality occurs in the cooling water system of an intermediate frequency furnace within a certain enterprise, this submodule can assess whether the abnormality will spread and affect other equipment based on the distribution of intermediate frequency furnaces within the enterprise. Combined with the enterprise's location information, it can determine whether the abnormality will trigger a chain reaction in the surrounding environment, such as whether there is a risk of fire or pollution of surrounding water sources. This can provide a more scientific and accurate abnormality risk assessment result, avoiding the limitations of single-data-dimension assessment. When the abnormality risk level of the cooling water system is assessed to be greater than the preset risk level, the risk analysis submodule immediately sends a high-risk warning to the corresponding responsible persons on the management side, the enterprise side, and the government side, allowing all responsible persons to grasp the high-risk situation at the first time. Compared with traditional passive fault response, this greatly shortens the risk perception time. After receiving the high-risk warning, all parties can quickly activate the emergency plan based on the warning information. The management side can remotely guide the enterprise to investigate the problem, the enterprise side can quickly allocate resources for emergency repairs, and the government side can coordinate surrounding rescue forces or regulatory resources, realizing the transition from "post-event handling" to "pre-event prevention and control", effectively reducing the possibility of major accidents caused by abnormal risks and minimizing the losses caused by accidents.

[0163] Example 10:

[0164] The present invention provides a multi-role collaborative monitoring method for a medium frequency furnace cooling water system based on a Web terminal, comprising:

[0165] Collect relevant parameters of the cooling water system in real time and upload them to the cloud to generate corresponding visual animations;

[0166] After receiving the relevant parameters, the cloud compares them with the corresponding preset alarm thresholds and conducts correlation analysis on various related parameters to determine whether there are any abnormalities or potential problems in the current cooling water system.

[0167] When an anomaly or potential problem is detected in the cooling water system, relevant personnel are notified through various communication methods;

[0168] Users with different roles operate and manage alarm notifications and medium frequency furnace-related data on the cloud according to their respective permissions.

[0169] The beneficial effects of the above technical solution: The present invention realizes the real-time collection and visual display of the relevant parameters of the cooling water system. The staff does not need to go to the site in person. They can visually view the operating status of the cooling water system through the Web terminal, and timely grasp the dynamic changes of key data such as water temperature, water pressure, flow rate, etc. of the cooling water system, which greatly improves the monitoring efficiency and effectively avoids system failures caused by untimely manual inspections. Afterwards, the real-time parameters are compared with the preset alarm thresholds, and correlation analysis can be performed on various types of related parameters. This intelligent early warning method can accurately identify hidden anomalies and potential problems in the cooling water system. Compared with a single threshold judgment, it can not only timely discover abnormal problems that have occurred in the cooling water system, but also discover in advance the subtle hidden dangers that may cause cooling water system failures, greatly reducing the risk of damage to the medium frequency furnace and production accidents. When the system detects an anomaly or potential problem, it can quickly notify relevant personnel through various channels such as text messages, emails, instant messaging software, etc. No matter where the relevant personnel are, they can obtain alarm information at the first time so that they can quickly take countermeasures, reduce the response time of fault handling, and reduce production losses caused by faults. Users with different roles are granted corresponding permissions, with management, enterprise, and government roles each performing their respective duties and working collaboratively. The management side is responsible for ensuring stable system operation and reasonable parameter configuration, laying a solid foundation for the monitoring platform; the enterprise side focuses on monitoring and maintaining its own equipment to ensure safe operation; and the government side conducts supervision and decision-making at a macro level. Through data sharing and collaborative operations, the three parties break down information barriers, forming an organic whole, achieving comprehensive, multi-level management of the medium-frequency furnace cooling water system, and promoting the development of standardized, refined, and coordinated industrial production safety management.

[0170] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A multi-role collaborative monitoring platform for the cooling water system of a medium frequency furnace based on a web terminal, characterized in that: include: The data monitoring module is used to collect relevant parameters of the cooling water system in real time and upload them to the cloud to generate corresponding visual animations; The early warning analysis module is used to compare the relevant parameters with the corresponding preset alarm thresholds after receiving them from the cloud, and to conduct correlation analysis on multiple types of relevant parameters to determine whether there are any abnormalities or potential problems in the current cooling water system; Abnormal alarm notification module, used to notify relevant personnel through various communication methods when abnormalities or potential problems are detected in the cooling water system; The multi-role collaborative management module is used for users with different roles to operate and manage alarm notifications and medium frequency furnace-related data on the cloud according to their respective permissions.

2. A multi-role collaborative monitoring platform for the cooling water system of a medium frequency furnace based on a Web terminal according to claim 1, characterized in that: Data monitoring module, including: The data acquisition unit is used to collect relevant parameters of the cooling water system in real time using monitoring equipment installed at various key locations of the cooling water system; The data storage unit is used to collect data in real time based on the intermediate frequency furnace number, upload it to the cloud and store it in groups; The visualization unit is used to input each group data into the display cell of the corresponding water channel in the data table of the corresponding numbered intermediate frequency furnace for visualization, and generate a dynamic data graph based on the data corresponding to each cell according to the time axis and store it in a hidden manner; When the user clicks on the corresponding cell, the corresponding hidden dynamic data chart is displayed.

3. A multi-role collaborative monitoring platform for the cooling water system of a medium frequency furnace based on a web terminal according to claim 1, characterized in that: Early warning analysis module, including: The comparison and analysis unit is used to compare various relevant parameters with the corresponding preset alarm thresholds. When any alarm condition is met, it is determined that there is an abnormality in the cooling water system of the current intermediate frequency furnace; The joint analysis unit is used to obtain all relevant parameters of the cooling water system of the same intermediate frequency furnace and compare them with the relevant parameters of multiple water channels of the same type when there is no abnormality in the current intermediate frequency furnace cooling water system, so as to determine whether there are sudden changes in parameters in the current intermediate frequency furnace cooling water system; When there are sudden changes in parameters in the current intermediate frequency furnace cooling water system, potential problems are speculated based on the type of sudden changes and combined with the cooling water system abnormality cause comparison table. The potential problems of the cooling water system are determined, potential problem prompts are generated, and relevant personnel are notified through various communication methods. When there is no sudden change in the parameters of the current intermediate frequency furnace cooling water system or there is no abnormality in the current intermediate frequency furnace cooling water system, the data fluctuation characteristics corresponding to each relevant parameter are obtained based on the visual animation; Based on data fluctuation characteristics, the parameter values ​​of non-abnormal related parameters within a preset time period in the future are predicted. When the predicted result has a risk greater than the corresponding preset alarm threshold, an early warning of parameter abnormality is generated and relevant personnel are notified through various communication methods; When the prediction result does not have a risk greater than the corresponding preset alarm threshold, it is determined that the current intermediate frequency furnace cooling water system is normal.

4. A Web-based multi-role collaborative monitoring platform for a medium frequency furnace cooling water system according to claim 1, characterized in that: Abnormal alarm notification module, including: The platform's external alarm module is used to generate a cooling abnormality warning voice or text message and send it to the responsible operation and maintenance personnel of the intermediate frequency furnace when an abnormality or potential problem is detected in the cooling water system; The internal alarm module of the platform is used to send the cooling abnormality warning to the corresponding enterprise and government ends based on the enterprise information and number information corresponding to the cooling abnormality warning medium frequency furnace using the communication network, and record the cooling abnormality warning.

5. The multi-role collaborative monitoring platform for the intermediate frequency furnace cooling water system based on a Web terminal according to claim 1 is characterized in that: Multi-role collaborative management module, including: The management side is used to handle platform operation problems and set and review the preset warning thresholds of the intermediate frequency furnace; The enterprise side is used for enterprises to view the status of all medium frequency furnace cooling water systems within the enterprise and perform corresponding operations and management; The government side is used for government regulatory officials to view the status of all medium frequency furnace cooling water systems within their jurisdiction and perform corresponding operations and management.

6. A multi-role collaborative monitoring platform for the cooling water system of an intermediate frequency furnace based on a Web terminal according to claim 5, characterized in that: Management side, including: The permission setting unit is used to set the operation and management permissions of users with different roles; Problem handling unit, used by platform operation and maintenance personnel to handle platform operation problems; The appeal review unit is used to manually review appeals for penalty points reduction submitted by enterprises; The data review unit is used to review the custom alarm thresholds submitted by the enterprise. After receiving the custom alarm threshold application sent by the enterprise, it determines whether the alarm standard corresponding to the custom alarm threshold is higher than the alarm standard corresponding to the platform's preset alarm threshold; If so, the application for custom alarm threshold is approved; Otherwise, the company will obtain all the alarm records of the company's intermediate frequency furnace cooling water system based on the cloud. If it is determined that the company has alarm records, the application for the custom alarm threshold will be rejected. When it is determined that the enterprise has no alarm records, historical dynamic data graphs corresponding to multiple relevant parameters are obtained based on the cloud. Based on the first alarm threshold of each relevant parameter corresponding to the platform's preset alarm threshold, a standard line is generated and added to the corresponding historical dynamic data graph to obtain a comparative historical data graph; Based on the comparison of historical data charts, determine the alarm frequency of various relevant parameters of each medium frequency furnace in the enterprise; When the alarm frequency of any relevant parameter is greater than the preset frequency, the application for the custom alarm threshold is rejected; Otherwise, compare the plurality of second alarm thresholds corresponding to the custom alarm threshold with the corresponding first alarm threshold to obtain the corresponding adjustment step size; The custom alarm threshold application for the relevant parameters whose corresponding adjustment step size is less than or equal to the maximum preset step size is passed, and the custom alarm threshold application for the relevant parameters whose corresponding adjustment step size is greater than the maximum preset step size is simultaneously rejected.

7. The multi-role collaborative monitoring platform for the cooling water system of a medium frequency furnace based on a web terminal according to claim 5 is characterized in that: Enterprise side, including: The enterprise management unit is used by enterprise managers to set the responsible operation and maintenance personnel corresponding to the intermediate frequency furnace and their corresponding personal information as well as the alarm thresholds of each intermediate frequency furnace; Enterprise query unit, used to view real-time monitoring data of all medium frequency furnaces and their corresponding cooling water systems within the enterprise; The data statistics unit is used to collect statistics on the monitoring data of the cooling water system of each intermediate frequency furnace in the enterprise and record the alarm information of each intermediate frequency furnace; Based on the alarm information, the alarm frequency and common abnormal causes of each medium frequency furnace are determined respectively, and the enterprise internal alarm analysis results are generated for display; The intelligent setting unit is used to perform risk scoring on the cooling water system of each intermediate frequency furnace based on the results of internal alarm analysis of the enterprise, and to classify the cooling water system of each intermediate frequency furnace into monitoring levels based on the scoring results; According to the monitoring level classification results, the data collection frequency of each medium frequency furnace cooling water system monitoring equipment is adaptively adjusted; An intelligent recommendation unit is used to synchronously obtain the occurrence frequency corresponding to each common abnormality cause, obtain multiple average time intervals and the abnormality weight of each common abnormality cause based on the occurrence frequency, and calculate the recommended maintenance time interval based on the abnormality weight of each common abnormality cause and its corresponding average time interval; Based on the recommended maintenance time interval, operation and maintenance recommendation information is generated, displayed, and synchronously sent to the responsible operation and maintenance personnel corresponding to the medium frequency furnace.

8. The multi-role collaborative monitoring platform for the intermediate frequency furnace cooling water system based on a web terminal according to claim 5 is characterized in that: The government side includes: The intelligent scoring unit is used to obtain the status data of each company's intermediate frequency furnace monitoring equipment in real time, and conduct a multi-dimensional joint analysis of the status data of multiple monitoring devices of the same intermediate frequency furnace to determine whether there is a risk of manual shutdown of the monitoring equipment of each intermediate frequency furnace; If it does not exist, only the target medium frequency furnace will be marked as a monitoring device failure; If it exists, the monitoring status of the target intermediate frequency furnace is marked as a risky state; When a target intermediate frequency furnace is marked as risky, if the company to which the target intermediate frequency furnace belongs submits a risk status complaint and repair certificate to the platform within the preset time and the complaint is approved by the management end, the system will automatically remove the risk status mark; Otherwise, based on the preset score, the corresponding enterprise of the target intermediate frequency furnace will be deducted points, and an alarm record will be made for the target intermediate frequency furnace; The overall management unit is used by government supervisors to view the status of all medium frequency furnace cooling water systems within their jurisdiction and their corresponding uploaded data; According to the corresponding enterprise of the intermediate frequency furnace, the alarm data of the intermediate frequency furnace cooling water system and the fault marks of the monitoring equipment are intelligently counted and the corresponding visual images are generated; At the same time, based on the scoring results of the intelligent scoring unit, a list of enterprise scores from high to low is generated, and enterprise scores below the minimum threshold are highlighted; The notification sending unit is used by the government regulatory officer to send corresponding regulatory penalty notices to the corresponding enterprises.

9. The multi-role collaborative monitoring platform for the cooling water system of a medium frequency furnace based on a web terminal according to claim 5 is characterized in that: The multi-role collaborative management module also includes: The risk analysis submodule is used to evaluate the abnormal risk of the cooling water system based on the abnormal data and potential problem data of the abnormal cooling water system, combined with the internal medium frequency furnace distribution information and enterprise location information uploaded by the enterprise; When the abnormal risk level of the cooling water system is greater than the preset risk level, a high-risk warning will be immediately sent to the corresponding responsible persons on the management, enterprise and government sides.

10. A multi-role collaborative monitoring method for a medium frequency furnace cooling water system based on a Web terminal, characterized in that: include: Collect relevant parameters of the cooling water system in real time and upload them to the cloud to generate corresponding visual animations; After receiving the relevant parameters, the cloud compares them with the corresponding preset alarm thresholds and conducts correlation analysis on various related parameters to determine whether there are any abnormalities or potential problems in the current cooling water system. When an anomaly or potential problem is detected in the cooling water system, relevant personnel are notified through various communication methods; Users with different roles operate and manage alarm notifications and medium frequency furnace-related data on the cloud according to their respective permissions.

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