GDS alarm centralized control system
Through multiple sensors, data acquisition, combined with priority processing and scenario-based rules engine, the problem of insufficient sensitivity of traditional gas monitoring equipment is solved, efficient alarm response and automatic control are achieved, and the system's credibility and security are improved.
Patent Information
- Application Number
- CN202510554462.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-29
- Publication Date
- 2025-08-05
AI Technical Summary
Traditional gas monitoring equipment is not sensitive and is susceptible to environmental factors, resulting in inaccurate monitoring results. The original monitoring data is not effectively processed and used directly for decision-making, which is prone to cause false positives or missed reports, affecting the credibility of the system, and traditional systems cannot adopt differentiated responses based on the urgency.
Data acquisition is carried out using a variety of sensors, the original monitoring data is obtained through the data acquisition module, the priority processing module is used to preprocess and classify the data, the intelligent alarm generation module generates alarm signals and sends notifications, the control module starts the equipment according to the scene-based rules engine, the data management module is managed and displayed in a unified manner, and the optimization module is regularly optimized.
It realizes effective management and classification of monitoring data, reduces false alarms and missed reports, fast and accurate alarm response, intelligent automatic control and linkage operation, and ensures improvement of safety management level.
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Figure CN120428618A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of GDS alarm centralized control, in particular to a GDS alarm centralized control system. Background Art
[0002] GDS centralized alarm control technology is a comprehensive solution specifically designed for gas monitoring and alarm management in industrial environments. It integrates multiple sensors, data processing modules, intelligent alarm generation mechanisms, and automated control systems to achieve real-time monitoring, analysis, and emergency response of hazardous gas concentrations in the environment.
[0003] In the field of GDS alarm centralized control, traditional gas monitoring equipment may have low sensitivity or be easily interfered with by environmental factors, resulting in inaccurate monitoring results. The original monitoring data is not effectively processed and directly used for decision-making, which can easily lead to false alarms or missed alarms, affecting the credibility of the system. At the same time, traditional systems usually use fixed alarm mechanisms and cannot take differentiated response measures according to different levels of urgency, resulting in key information being ignored. Summary of the Invention
[0004] In view of the above existing problems, the present invention is proposed.
[0005] Therefore, the present invention provides a GDS alarm centralized control system to solve the problem that traditional gas monitoring equipment may have low sensitivity or be easily interfered by environmental factors, resulting in inaccurate monitoring results, and the original monitoring data is directly used for decision-making without effective processing, which is prone to false alarms or missed alarms, affecting the credibility of the system.
[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:
[0007] In a first aspect, the present invention provides a GDS alarm centralized control system, which comprises:
[0008] Data acquisition module, priority processing module, alarm generation module, control module, data management module and optimization module;
[0009] The data acquisition module is used to collect gas concentrations in the environment using multiple sensors to obtain original monitoring data;
[0010] The priority processing module is used to pre-process the original monitoring data and dynamically adjust the alarm priority according to the preset safety threshold to obtain filtered and graded data information;
[0011] The intelligent alarm generation module is used to analyze and judge the filtered and classified data information using alarm logic. When the conditions are met, a corresponding alarm signal is generated and a notification is sent to relevant personnel according to the priority mechanism to obtain the alarm signal and its notification information;
[0012] The control module is used to analyze the alarm signal and its notification information using a scenario-based rule engine, and activate related devices according to a preset linkage strategy to obtain feedback on the device status after execution;
[0013] The data management module is used to integrate data from multiple sources and store them in a database to obtain unified management and display data;
[0014] The optimization module is used to analyze the data managed and displayed regularly and uniformly, evaluate the alarm accuracy and response efficiency, and optimize the alarm logic, priority setting and linkage strategy based on the evaluation results to obtain optimized alarm logic, priority setting and linkage strategy.
[0015] As a preferred solution of the GDS alarm centralized control system of the present invention, wherein: the gas concentration in the environment is collected by using multiple sensors to obtain the original monitoring data, and the specific steps are as follows:
[0016] The electrochemical gas sensor MICS-6814 was selected;
[0017] Install a corresponding electrochemical gas sensor at each predetermined location. Each sensor is connected to an A / D converter via a cable to convert the analog signal into a digital signal, and use OPC UA as a protocol conversion gateway.
[0018] After receiving the digital signal from the sensor, the central processing unit calculates the actual gas concentration and obtains the original monitoring data, which is expressed as:
[0019]
[0020] Where C is the actual concentration of the target gas, V s is the currently measured voltage value, V0 is the baseline voltage when there is no target gas, S is the sensitivity coefficient, which is a fixed parameter of the sensor, and C0 is a predetermined calibration value.
[0021] As a preferred solution of the GDS alarm centralized control system of the present invention, the raw monitoring data is pre-processed and the alarm priority is dynamically adjusted according to the preset safety threshold to obtain filtered and graded data information. The specific steps are as follows:
[0022] Perform preliminary processing on all received gas concentration data to remove obvious outliers;
[0023] Set the corresponding safety threshold according to different gas types. The expression is:
[0024]
[0025] Among them, P is the alarm priority, C is the actual concentration of the target gas, T low , T mid , T high There are three safety thresholds: low, medium and high;
[0026] Combine the gas concentration data processed by the above steps and its corresponding alarm priority P to form new data information;
[0027] Each record contains two key fields, namely, gas concentration and corresponding alarm priority.
[0028] As a preferred solution of the GDS alarm centralized control system of the present invention, wherein: the alarm logic is used to analyze and judge the filtered and classified data information, and when the conditions are met, a corresponding alarm signal is generated, and a notification is sent to relevant personnel according to the priority mechanism to obtain the alarm signal and its notification information. The specific steps are as follows:
[0029] According to different alarm priorities, set specific alarm trigger conditions and introduce alarm levels to determine whether to alarm. The expression is:
[0030]
[0031] Among them, A is the alarm level, ranging from 0 to 3, with a larger value indicating a higher degree of urgency; P is the alarm priority, ranging from 1 to 4, with a larger value indicating a higher degree of urgency;
[0032] When A>0, the corresponding alarm signal is triggered;
[0033] For each data record, if its corresponding alarm level A is greater than 0, a corresponding alarm signal is generated;
[0034] The alarm signal includes gas type, actual gas concentration, alarm priority and alarm level;
[0035] According to the alarm level A, different notification methods are selected to send notifications to relevant personnel.
[0036] As a preferred solution of the GDS alarm centralized control system of the present invention, wherein: according to the alarm level A, different notification methods are selected to send notifications to relevant personnel, specifically:
[0037] When A=1, the relevant operators are notified via internal system messages or low-priority emails;
[0038] When A=2, the relevant operators will be notified via SMS or instant messaging tools, and a highlighted warning will be displayed on the system interface;
[0039] When A=3, all relevant operators will be notified immediately through multiple channels such as phone calls, text messages, instant messaging tools, etc., and a red emergency warning will be displayed on the system interface;
[0040] Define the function N(A) to select the notification method. The expression is:
[0041]
[0042] Where N(A) is the notification method selected according to the alarm level, and A is the alarm level;
[0043] According to the selected notification method N(A), a notification is sent to relevant personnel.
[0044] As a preferred solution of the GDS alarm centralized control system of the present invention, wherein: the scenario rule engine is used to parse the alarm signal and its notification information, and start the relevant equipment according to the preset linkage strategy to obtain the equipment status feedback after execution. The specific steps are as follows:
[0045] Define scenario-based rules based on different gas types and alarm levels;
[0046] Each scenario rule corresponds to a set of specific operations;
[0047] Define the function to select the corresponding operation, the expression is:
[0048]
[0049] Where R(G,A) is the operation selected based on the gas type G and the alarm level A, G is the gas type, and A is the alarm level;
[0050] Parse each received alarm signal, extract key information, and then select the corresponding action based on the scenario-based rule engine defined above;
[0051] When the detected gas is CO and the alarm level A≥2, select the "Close Valve" operation;
[0052] When the detected gas is NO2 and the alarm level A≥2, select the "Start ventilation system" operation;
[0053] When the alarm level reaches the highest level A=3, select the "Emergency Stop" operation;
[0054] According to the selected operation, send instructions to relevant equipment through the central control system;
[0055] For the "close valve" operation, the system will send a command to the electric valve controller to close the specified valve;
[0056] For the "start ventilation system" operation, the system will send a command to the ventilation system controller to start the corresponding fan;
[0057] After executing the operation of the relevant device, the device status feedback S is obtained from the device controller.
[0058] As a preferred solution of the GDS alarm centralized control system of the present invention, wherein: the integration of multi-source data and storage in the database to obtain unified management and display data, the specific steps are:
[0059] The integrated multi-source data includes original monitoring data, filtered and graded data information, alarm signals and notification information, and equipment status feedback after execution;
[0060] Standardize all data received to ensure that each type of data follows a consistent format;
[0061] Integrate data from different sources according to timestamps and establish associations between data. The expression is:
[0062] D={T std ,G,C,P,A,N(A),R(G,A),S};
[0063] Among them, D is the integrated data record, T std is the normalized timestamp, G is the gas type, C is the actual gas concentration, P is the alarm priority, A is the alarm level, N(A) is the notification method selected based on the alarm level, R(G,A) is the operation selected based on the gas type and alarm level, and S is the device operation status;
[0064] The integrated data record D is stored in the central database.
[0065] As a preferred solution of the GDS alarm centralized control system of the present invention, wherein: the data of the regular unified management and display is analyzed to evaluate the alarm accuracy and response efficiency, and the alarm logic, priority setting and linkage strategy are optimized based on the evaluation results to obtain the optimized alarm logic, priority setting and linkage strategy, the specific steps are as follows:
[0066] Batch process all received data records and calculate the alarm accuracy and average response time in each time period;
[0067] Define the function summary statistics, the expression is:
[0068]
[0069] Where Stats(D) is the statistical result set, and n is the number of data records in the statistical time period;
[0070] Identify problems in the system based on the calculated alarm accuracy Acc and average response time RT;
[0071] Based on the above analysis results, adjust the safety threshold in the alarm logic;
[0072] Adjust the priority settings of different gas types based on historical data analysis;
[0073] Optimize the linkage strategy in the scenario-based rule engine based on device operation status feedback;
[0074] Deploy the optimized alarm logic, priority settings, and linkage strategies back into the system and verify their effectiveness through testing.
[0075] In a second aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, any step of the GDS alarm centralized control system as described in the first aspect of the present invention is implemented.
[0076] In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the GDS alarm centralized control system as described in the first aspect of the present invention is implemented.
[0077] The beneficial effects of the present invention are: by preprocessing the original monitoring data and dynamically adjusting the alarm priority according to the preset safety threshold, the filtered and graded data information is obtained, the effective management and classification of a large amount of monitoring data is realized, the process of removing abnormal values and setting safety thresholds can effectively reduce false alarms and missed alarms, and the alarm logic is used to analyze and judge the filtered and graded data information. When the conditions are met, a corresponding alarm signal is generated, and a notification is sent to relevant personnel according to the priority mechanism to obtain an alarm signal and its notification information, thereby realizing a fast and accurate alarm response. Specific alarm trigger conditions are set according to different alarm priorities, and an alarm level is introduced to determine whether an alarm is needed. A scenario rule engine is used to parse the alarm signal and its notification information, and relevant equipment is started according to the preset linkage strategy to obtain equipment status feedback after execution, thereby realizing intelligent automatic control and linkage operation, and scenario rules are defined according to different gas types and alarm levels, and corresponding operation instructions are selected. BRIEF DESCRIPTION OF THE DRAWINGS
[0078] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0079] Figure 1 This is a flow chart of the GDS alarm centralized control system in Example 1. DETAILED DESCRIPTION
[0080] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.
[0081] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.
[0082] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.
[0083] Example 1, reference Figure 1 , which is the first embodiment of the present invention, provides a GDS alarm centralized control system, including the following steps:
[0084] Data acquisition module, priority processing module, alarm generation module, control module, data management module and optimization module;
[0085] The data acquisition module is used to collect gas concentrations in the environment using a variety of sensors to obtain original monitoring data;
[0086] Furthermore, the gas sensor MICS-6814 based on electrochemical principle was selected;
[0087] Install a corresponding electrochemical gas sensor at each predetermined location. Each sensor is connected to an A / D converter via a cable to convert the analog signal into a digital signal, and use OPC UA as a protocol conversion gateway.
[0088] After receiving the digital signal from the sensor, the central processing unit calculates the actual gas concentration and obtains the original monitoring data, which is expressed as:
[0089]
[0090] Where C is the actual concentration of the target gas, V s is the currently measured voltage value, V0 is the baseline voltage in the absence of target gas, S is the sensitivity coefficient, which is a fixed parameter of the sensor, and C0 is a predetermined calibration value;
[0091] It should be noted that the electrochemical-based gas sensor MICS-6814 was selected not only for its high sensitivity and good linear response characteristics, but also for its excellent stability and long service life in industrial environments. The use of OPC UA as a protocol conversion gateway ensures seamless communication between devices of different brands and improves the compatibility and scalability of the system.
[0092] Priority processing module, used to pre-process the original monitoring data and dynamically adjust the alarm priority according to the preset safety threshold to obtain filtered and graded data information;
[0093] Furthermore, all received gas concentration data are preliminarily processed to remove obvious outliers;
[0094] Set the corresponding safety threshold according to different gas types. The expression is:
[0095]
[0096] Among them, P is the alarm priority, C is the actual concentration of the target gas, T low , T mid , T high There are three safety thresholds: low, medium and high;
[0097] Combine the gas concentration data processed by the above steps and its corresponding alarm priority P to form new data information;
[0098] Each record contains two key fields, namely the gas concentration and the corresponding alarm priority;
[0099] It should be noted that when pre-processing the original monitoring data, removing outliers can not only reduce the system's false alarm rate, but also improve the accuracy of alarm decisions. By setting different security thresholds and dynamically adjusting alarm priorities, the system can more accurately identify potential risks and take corresponding measures based on the actual threat level, thereby improving the overall safety management level.
[0100] The intelligent alarm generation module is used to analyze and judge the filtered and classified data information using alarm logic. When the conditions are met, the corresponding alarm signal is generated and notifications are sent to relevant personnel according to the priority mechanism to obtain the alarm signal and notification information;
[0101] Furthermore, according to different alarm priorities, specific alarm trigger conditions are set, and alarm levels are introduced to determine whether to alarm. The expression is:
[0102]
[0103] Among them, A is the alarm level, ranging from 0 to 3, with a larger value indicating a higher degree of urgency; P is the alarm priority, ranging from 1 to 4, with a larger value indicating a higher degree of urgency;
[0104] When A>0, the corresponding alarm signal is triggered;
[0105] For each data record, if its corresponding alarm level A is greater than 0, a corresponding alarm signal is generated;
[0106] Alarm signals include gas type, actual gas concentration, alarm priority and alarm level;
[0107] According to the alarm level A, select different notification methods to send notifications to relevant personnel;
[0108] When A=1, the relevant operators are notified via internal system messages or low-priority emails;
[0109] When A=2, the relevant operators will be notified via SMS or instant messaging tools, and a highlighted warning will be displayed on the system interface;
[0110] When A=3, all relevant operators will be notified immediately through multiple channels such as phone calls, text messages, instant messaging tools, etc., and a red emergency warning will be displayed on the system interface;
[0111] Define the function N(A) to select the notification method. The expression is:
[0112]
[0113] Where N(A) is the notification method selected according to the alarm level, and A is the alarm level;
[0114] Send notifications to relevant personnel based on the selected notification method N(A);
[0115] It should be noted that the introduction of the alarm level mechanism can not only refine the urgency of the alarm information, but also select appropriate notification methods according to different levels of alarms to ensure that key information can be quickly conveyed to relevant personnel. The multi-level notification mechanism effectively avoids the problem of information overload and improves the speed and efficiency of emergency response.
[0116] The control module is used to analyze alarm signals and notification information using a scenario-based rule engine, activate related devices according to preset linkage strategies, and obtain feedback on device status after execution;
[0117] Furthermore, scenario-based rules can be defined based on different gas types and alarm levels;
[0118] Each scenario rule corresponds to a specific set of operations;
[0119] Define the function to select the corresponding operation, the expression is:
[0120]
[0121] Where R(G,A) is the operation selected based on the gas type G and the alarm level A, G is the gas type, and A is the alarm level;
[0122] Parse each received alarm signal, extract key information, and then select the corresponding action based on the scenario-based rule engine defined above;
[0123] When the detected gas is CO and the alarm level A≥2, select the "Close Valve" operation;
[0124] When the detected gas is NO2 and the alarm level A≥2, select the "Start ventilation system" operation;
[0125] When the alarm level reaches the highest level A=3, select the "Emergency Stop" operation;
[0126] According to the selected operation, send instructions to relevant equipment through the central control system;
[0127] For the "close valve" operation, the system will send a command to the electric valve controller to close the specified valve;
[0128] For the "start ventilation system" operation, the system will send a command to the ventilation system controller to start the corresponding fan;
[0129] After executing the operation of the relevant equipment, obtain the equipment status feedback S from the equipment controller;
[0130] It should be noted that the design of the scenario-based rule engine enables the system to automatically select the optimal operation strategy according to different gas types and alarm levels, realizing intelligent emergency response. Different response measures are taken for different gases such as CO and NO2, which can minimize accident risks and ensure the safety of personnel and facilities.
[0131] The data management module is used to integrate data from multiple sources and store them in a database for unified management and display;
[0132] Furthermore, the integration of multi-source data includes raw monitoring data, filtered and graded data information, alarm signals and notification information, and equipment status feedback after execution;
[0133] Standardize all data received to ensure that each type of data follows a consistent format;
[0134] Integrate data from different sources according to timestamps and establish associations between data. The expression is:
[0135] D={T std ,G,C,P,A,N(A),R(G,A),S};
[0136] Among them, D is the integrated data record, T std is the normalized timestamp, G is the gas type, C is the actual gas concentration, P is the alarm priority, A is the alarm level, N(A) is the notification method selected based on the alarm level, R(G,A) is the operation selected based on the gas type and alarm level, and S is the device operation status;
[0137] Storing the integrated data record D in the central database;
[0138] It should be noted that standardizing and integrating data from multiple sources not only ensures the consistency and comparability of the data, but also provides a solid foundation for subsequent data analysis and optimization. By establishing correlations between data, the system can comprehensively and accurately record the development process of each event, facilitating subsequent tracing and analysis.
[0139] The optimization module is used to analyze the data managed and displayed regularly, evaluate the accuracy of alarms and the efficiency of responses, and optimize the alarm logic, priority settings, and linkage strategies based on the evaluation results to obtain the optimized alarm logic, priority settings, and linkage strategies;
[0140] Furthermore, all received data records are batch processed to calculate the alarm accuracy and average response time in each time period;
[0141] Define the function summary statistics, the expression is:
[0142]
[0143] Where Stats(D) is the statistical result set, and n is the number of data records in the statistical time period;
[0144] Identify problems in the system based on the calculated alarm accuracy Acc and average response time RT;
[0145] Based on the above analysis results, adjust the safety threshold in the alarm logic;
[0146] Adjust the priority settings of different gas types based on historical data analysis;
[0147] Optimize the linkage strategy in the scenario-based rule engine based on device operation status feedback;
[0148] Deploy the optimized alarm logic, priority settings, and linkage strategies back into the system and verify their effectiveness through testing;
[0149] It should be noted that regular analysis and evaluation of system data, and optimization of alarm logic, priority settings, and linkage strategies based on the evaluation results, are key steps in achieving system self-improvement and continuous optimization. The closed-loop feedback mechanism can not only promptly discover and resolve problems in the system, but also continuously improve the performance and reliability of the system, ensuring that it is always in the best operating state.
[0150] This embodiment also provides a computer device suitable for the GDS alarm centralized control system, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement the GDS alarm centralized control system proposed in the above embodiment.
[0151] The computer device may be a terminal, comprising a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device comprises a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner may be achieved through Wi-Fi, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a button, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse.
[0152] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by the processor, the GDS alarm centralized control system proposed in the above embodiment is implemented; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.
[0153] In summary, the present invention pre-processes the original monitoring data and dynamically adjusts the alarm priority according to the preset safety threshold to obtain filtered and graded data information, thereby realizing effective management and classification of a large amount of monitoring data, removing abnormal values and setting safety thresholds, and effectively reducing false alarms and missed alarms. The alarm logic is used to analyze and judge the filtered and graded data information. When the conditions are met, a corresponding alarm signal is generated, and a notification is sent to relevant personnel according to the priority mechanism to obtain an alarm signal and its notification information, thereby realizing a fast and accurate alarm response. Specific alarm trigger conditions are set according to different alarm priorities, and an alarm level is introduced to determine whether an alarm is needed. A scenario-based rule engine is used to parse the alarm signal and its notification information, and relevant equipment is started according to the preset linkage strategy to obtain equipment status feedback after execution, thereby realizing intelligent automatic control and linkage operation. Scenario-based rules are defined according to different gas types and alarm levels, and corresponding operation instructions are selected.
[0154] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.
Claims
1. GDS alarm centralized control system, characterized by: include: Data acquisition module, priority processing module, alarm generation module, control module, data management module and optimization module; The data acquisition module is used to collect gas concentrations in the environment using multiple sensors to obtain original monitoring data; The priority processing module is used to pre-process the original monitoring data and dynamically adjust the alarm priority according to the preset safety threshold to obtain filtered and graded data information; The intelligent alarm generation module is used to analyze and judge the filtered and classified data information using alarm logic. When the conditions are met, a corresponding alarm signal is generated and a notification is sent to relevant personnel according to the priority mechanism to obtain the alarm signal and its notification information; The control module is used to analyze the alarm signal and its notification information using a scenario-based rule engine, and activate related devices according to a preset linkage strategy to obtain feedback on the device status after execution; The data management module is used to integrate data from multiple sources and store them in a database to obtain unified management and display data; The optimization module is used to analyze the data managed and displayed regularly and uniformly, evaluate the alarm accuracy and response efficiency, and optimize the alarm logic, priority setting and linkage strategy based on the evaluation results to obtain optimized alarm logic, priority setting and linkage strategy.
2. The GDS alarm centralized control system according to claim 1, characterized in that: The method uses multiple sensors to collect gas concentrations in the environment to obtain original monitoring data. The specific steps are as follows: The electrochemical gas sensor MICS-6814 was selected; Install a corresponding electrochemical gas sensor at each predetermined location. Each sensor is connected to an A / D converter via a cable to convert the analog signal into a digital signal, and use OPC UA as a protocol conversion gateway. After receiving the digital signal from the sensor, the central processing unit calculates the actual gas concentration and obtains the original monitoring data, which is expressed as: Where C is the actual concentration of the target gas, V s is the currently measured voltage value, V0 is the baseline voltage when there is no target gas, S is the sensitivity coefficient, which is a fixed parameter of the sensor, and C0 is a predetermined calibration value.
3. The GDS alarm centralized control system according to claim 2, characterized in that: The raw monitoring data is pre-processed, and the alarm priority is dynamically adjusted according to the preset safety threshold to obtain filtered and graded data information. The specific steps are as follows: Perform preliminary processing on all received gas concentration data to remove obvious outliers; Set the corresponding safety threshold according to different gas types. The expression is: Among them, P is the alarm priority, C is the actual concentration of the target gas, T low , T mid , T high There are three safety thresholds: low, medium and high; Combine the gas concentration data processed by the above steps and its corresponding alarm priority P to form new data information; Each record contains two key fields, namely, gas concentration and corresponding alarm priority.
4. The GDS centralized alarm control system according to claim 3, characterized in that: The alarm logic is used to analyze and judge the filtered and classified data information. When the conditions are met, a corresponding alarm signal is generated and a notification is sent to relevant personnel according to the priority mechanism to obtain the alarm signal and its notification information. The specific steps are as follows: According to different alarm priorities, set specific alarm trigger conditions, and introduce alarm levels to determine whether to alarm. The expression is: Among them, A is the alarm level, ranging from 0 to 3, with a larger value indicating a higher degree of urgency; P is the alarm priority, ranging from 1 to 4, with a larger value indicating a higher degree of urgency; When A>0, the corresponding alarm signal is triggered; For each data record, if its corresponding alarm level A is greater than 0, a corresponding alarm signal is generated; The alarm signal includes gas type, actual gas concentration, alarm priority and alarm level; According to the alarm level A, select different notification methods to send notifications to relevant personnel.
5. The GDS alarm centralized control system according to claim 4, characterized in that: According to the alarm level A, different notification methods are selected to send notifications to relevant personnel, specifically: When A=1, the relevant operators are notified via internal system messages or low-priority emails; When A=2, the relevant operators will be notified via SMS or instant messaging tools, and a highlighted warning will be displayed on the system interface; When A=3, all relevant operators will be notified immediately through multiple channels such as phone calls, text messages, instant messaging tools, etc., and a red emergency warning will be displayed on the system interface; Define the function N(A) to select the notification method. The expression is: Where N(A) is the notification method selected according to the alarm level, and A is the alarm level; According to the selected notification method N(A), a notification is sent to relevant personnel.
6. The GDS centralized alarm control system according to claim 5, characterized in that: The scenario-based rule engine is used to analyze the alarm signal and its notification information, and start the relevant equipment according to the preset linkage strategy to obtain the equipment status feedback after execution. The specific steps are as follows: Define scenario-based rules based on different gas types and alarm levels; Each scenario rule corresponds to a set of specific operations; Define the function to select the corresponding operation, the expression is: Where R(G,A) is the operation selected based on the gas type G and the alarm level A, G is the gas type, and A is the alarm level; Parse each received alarm signal, extract key information, and then select the corresponding action based on the scenario-based rule engine defined above; When the detected gas is CO and the alarm level A≥2, select the "Close Valve" operation; When the detected gas is NO2 and the alarm level A≥2, select the "Start ventilation system" operation; When the alarm level reaches the highest level A=3, select "Emergency Stop" operation; According to the selected operation, send instructions to relevant equipment through the central control system; For the "close valve" operation, the system will send a command to the electric valve controller to close the specified valve; For the "start ventilation system" operation, the system will send a command to the ventilation system controller to start the corresponding fan; After executing the operation of the relevant device, the device status feedback S is obtained from the device controller.
7. The GDS centralized alarm control system according to claim 6, characterized in that: The steps of integrating data from multiple sources and storing them in a database to obtain unified management and display data are as follows: The integrated multi-source data includes original monitoring data, filtered and graded data information, alarm signals and notification information, and equipment status feedback after execution; Standardize all data received to ensure that each type of data follows a consistent format; Integrate data from different sources according to timestamps and establish associations between data. The expression is: D={T std ,G,C,P,A,N(A),R(G,A),S}; Among them, D is the integrated data record, T std is the normalized timestamp, G is the gas type, C is the actual gas concentration, P is the alarm priority, A is the alarm level, N(A) is the notification method selected based on the alarm level, R(G,A) is the operation selected based on the gas type and alarm level, and S is the device operation status; The integrated data record D is stored in the central database.
8. The GDS centralized alarm control system according to claim 7, characterized in that: The data regularly managed and displayed are analyzed to evaluate the alarm accuracy and response efficiency, and the alarm logic, priority setting and linkage strategy are optimized based on the evaluation results to obtain the optimized alarm logic, priority setting and linkage strategy. The specific steps are as follows: Batch process all received data records and calculate the alarm accuracy and average response time in each time period; Define the function summary statistics, the expression is: Where Stats(D) is the statistical result set, and n is the number of data records in the statistical time period; Identify problems in the system based on the calculated alarm accuracy Acc and average response time RT; Based on the above analysis results, adjust the safety threshold in the alarm logic; Adjust the priority settings of different gas types based on historical data analysis; Optimize the linkage strategy in the scenario-based rule engine based on device operation status feedback; Deploy the optimized alarm logic, priority settings, and linkage strategies back into the system and verify their effectiveness through testing.
9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the GDS alarm centralized control system according to any one of claims 1 to 8 are implemented.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the GDS alarm centralized control system according to any one of claims 1 to 8 are implemented.
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