Indirect building fire pump monitoring and alarming terminal and monitoring method thereof

Abstract

The invention discloses an indirect building fire pump monitoring and alarm terminal and a monitoring method thereof, and the terminal comprises a monitoring module which comprises a sensor monitoring module and an environment monitoring module which are respectively used for receiving sensor monitoring data and monitoring environment information, and transmitting the data and information to a data processing and analyzing module, abnormal information and data are directly transmitted to the alarm module; the data processing and analyzing module is used for processing and analyzing the data detected by the monitoring module, performing early warning in advance, submitting the environmental factors or equipment information of the corresponding data set to the emergency plan module, and making a maintenance plan and a maintenance plan; an emergency plan module; and an alarm module. The system has the advantages that the data processing and analyzing module is adopted, intelligent processing of data is achieved, through data analysis, the change trend of the running state of the water pump can be predicted, potential faults can be found in time, early warning is conducted in advance, and powerful support is provided for repair and maintenance.

Description

Technical Field

[0001] The present invention relates to the technical field of fire pump monitoring, and in particular to an indirect building fire pump monitoring and alarm terminal and a monitoring method thereof. Background Art

[0002] In the building fire protection system, the fire pump is a key equipment, and its operating status directly affects the fire extinguishing effect when a fire occurs. Traditional fire pump monitoring methods mostly use direct monitoring of the operating parameters of the pump, such as current, voltage, etc., but this method has the problems of limited monitoring range, single data, and inability to reflect the overall status of the pump in real time. In addition, when the pump fails, it is often not discovered and warned in time, which brings hidden dangers to building fire safety.

[0003] With the continuous development of Internet of Things technology, more and more buildings have begun to introduce intelligent management systems to achieve remote monitoring and intelligent early warning of equipment. However, most of the existing building fire pump monitoring systems are still at the level of simple data collection and display, lacking intelligent data processing and analysis capabilities, and unable to effectively mine and utilize the valuable information in the monitoring data to provide more accurate protection for building fire safety. In particular, most of the monitoring modes used in the existing technology are to warn of data that is about to break or has already broken the threshold, which is very likely to affect the subsequent maintenance and emergency plan formulation, resulting in slow plan formulation and difficulty in handling current faults. Summary of the invention

[0004] To this end, the present invention provides an indirect building fire pump monitoring and alarm terminal and a monitoring method thereof to solve the above-mentioned problems in the prior art.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] According to a first aspect of the present invention, an indirect building fire pump monitoring and alarm terminal comprises:

[0007] The monitoring module includes a sensor monitoring module and an environment monitoring module, which are used to receive sensor monitoring data and monitoring environment information respectively, and transmit them to the data processing and analysis module, and the abnormal information and data are directly transmitted to the alarm module;

[0008] The data processing and analysis module is used to process and analyze the data detected by the monitoring module, provide early warning, and submit the environmental factors or equipment information of the corresponding data set to the emergency plan module for formulating maintenance plans and maintenance plans;

[0009] The emergency plan module includes an emergency plan backup module and an emergency plan process guidance module, wherein the emergency plan backup module includes multiple basic emergency plan templates;

[0010] The alarm module receives abnormal information and data, and issues real-time alarms and submits information to the emergency plan module.

[0011] Furthermore, the sensor monitoring module includes a flow sensor and a pressure sensor.

[0012] Furthermore, the environmental monitoring module is used to monitor the following information: power supply voltage, ambient temperature and humidity, and the working status of fire pumps, access control, communication interfaces, backup power supplies, valves and pipes, air partitions and backflow preventers.

[0013] Furthermore, the data analysis step of the data processing and analysis module includes:

[0014] S1: Data cleaning: The check module included in the data processing and analysis module checks for errors and duplications in the data and deletes them;

[0015] S2: Data conversion: convert the various data formats in the cleaned data into a unified numerical format;

[0016] S3: Data reduction: randomly extract a part of the values ​​to represent the overall value, reducing the amount of data;

[0017] S4: Data integration: merging data collected from different sources to form a unified dataset;

[0018] S5: Data analysis: According to the data trend in the data set, predict the change of the later data, and send the data set with abnormal data trend or predicted trend close to the abnormal data threshold to the emergency plan module.

[0019] Furthermore, the emergency plan implementation guidance information includes process guidance for each step of the emergency plan implementation. After each step is implemented, the implementation process will be saved in the emergency plan backup module.

[0020] Furthermore, the terminal further comprises a circuit detection module for detecting the circuit working status in the sensor monitoring module and the environment monitoring module of the terminal;

[0021] The detection steps of the line detection module include:

[0022] S1: Collect historical data of each circuit, including resistance, current and voltage data;

[0023] S2: Clean all collected historical data;

[0024] S3: Data preprocessing, standardize the data, the formula is as follows,

[0025]

[0026] Where x is the eigenvalue, min is the minimum value among the eigenvalues, max is the maximum value among the eigenvalues, and x′ is the normalized value. It is necessary to ensure that 0≤x′≤1;

[0027] S4: Divide the preprocessed data into a training set and a test set, and use a support vector machine to train the model, and determine the model accuracy based on historical data and historical judgment information;

[0028] S5: When the model is trained to 90% accuracy, it can be used to analyze historical and new measurement data. New data samples are input into the model for classification. Segments classified as positive instances represent good working conditions at this time, and segments classified as negative instances represent poor working conditions at this time and need maintenance as soon as possible.

[0029] Furthermore, when the alarm module triggers the emergency plan module to run, the monitoring module sends the regional location and environmental information of the situation to the emergency plan module for determining the start-up process of the emergency plan.

[0030] According to a first aspect of the present invention, a monitoring and alarm method of an indirect building fire pump monitoring and alarm terminal comprises the following steps:

[0031] S1: The data detected by the monitoring module is transmitted to the data processing and analysis module for storage, and the data processing and analysis module performs data processing, while the line detection module monitors the circuit working status in the sensor monitoring module and the environment monitoring module;

[0032] S2: The monitoring module feeds back abnormal data to the emergency plan module: when the smoke concentration or the concentration of leaked gas reaches the warning value, the smoke sensor responds and triggers the smoke alarm, and when the infrared imager detects abnormal image feedback and the temperature sensor detects abnormal temperature indoors, it feeds back to the remote monitoring platform and triggers the alarm module, and submits the abnormal data or abnormal image to the emergency plan module;

[0033] and the data processing and analysis module submits data sets with abnormally changing data trends or predicted trends close to abnormal data thresholds to the emergency plan module;

[0034] S3: The emergency plan module outputs corresponding emergency plan implementation guidance information.

[0035] The present invention has the following advantages:

[0036] 1. The data processing and analysis module is used to realize intelligent processing of data. Through data analysis, the changing trend of the water pump operation status can be predicted, potential faults can be discovered in time, and early warning can be given, providing strong support for repair and maintenance.

[0037] 2. Using the emergency plan module, when an abnormality is detected in the water pump or pump room, the alarm module can be triggered in real time and fed back to the remote monitoring platform. At the same time, the emergency plan module outputs corresponding emergency plan implementation guidance information according to the abnormal situation, which helps relevant personnel to quickly become familiar with the emergency plan process and take corresponding emergency measures, effectively improving the response speed and efficiency of the emergency plan.

[0038] 3. The circuit working status of the terminal is monitored in real time through the line detection module, and the support vector machine training model is used to classify and analyze the data, so as to timely discover potential problems in the circuit and perform maintenance in advance, thereby extending the service life of the equipment and reducing maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 A module connection diagram of an indirect building fire pump monitoring and alarm terminal provided in some embodiments of the present invention.

[0040] Figure 2 A flow chart of a monitoring and alarm method of an indirect building fire water pump monitoring and alarm terminal provided in some embodiments of the present invention. DETAILED DESCRIPTION

[0041] The following is a description of the implementation of the present invention by specific embodiments. People familiar with the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] like Figure 1 As shown, an indirect building fire pump monitoring and alarm terminal and a monitoring method thereof in an embodiment of the first aspect of the present invention include:

[0043] The monitoring module includes a sensor monitoring module and an environmental monitoring module. The sensor monitoring module includes a flow sensor and a pressure sensor, which are used to monitor the flow and pressure of the water pump in real time. These sensors can provide key data about the performance of the water pump, such as the volume of liquid delivered per unit time (flow) and the energy added after passing through the water pump (lift). The environmental monitoring module includes a monitoring camera to monitor the pump room and compare the before and after images to detect changes in the area and monitor key locations. The environmental monitoring module also monitors the following information: power supply voltage, ambient temperature and humidity, as well as the working status of the fire pump, access control, communication interface, backup power supply, valves and pipelines, air partitions and backflow preventers.

[0044] When the alarm module triggers the emergency plan module to run, the monitoring module sends the regional location and environmental information of the situation to the emergency plan module to determine the startup process of the emergency plan.

[0045] Working status: The working status of the fire pump includes starting, running, stopping, etc. These status information helps to determine whether the fire pump is in normal working condition.

[0046] Ambient temperature and humidity: The ambient temperature and humidity of the fire pump room have a certain impact on the stability of the equipment, especially in extreme environments, which may affect the normal operation of the equipment.

[0047] Flooding: Flooding in the pump room may cause damage to the equipment and therefore needs to be monitored to prevent potential risks.

[0048] Access control: The monitoring of the access control system can ensure that only authorized personnel can enter the fire pump room, thereby ensuring the safety of the equipment.

[0049] Communication interface: Status monitoring of the communication interface can ensure the stability of data transmission and is crucial for remote monitoring and management.

[0050] Backup power: Monitoring of backup power or UPS (uninterruptible power system) can ensure that the normal operation of the equipment can be maintained in the event of a power outage.

[0051] Valves and pipes: The status of valves and pipes is directly related to the normal delivery of water flow, so they need to be monitored to ensure there are no problems such as leakage or blockage.

[0052] Monitoring of air barriers and backflow preventers: Monitoring of these devices ensures that the water supply is not contaminated while preventing the potential hazards of water backflow.

[0053] The data of the flow sensor, pressure sensor, and ambient temperature and humidity are transmitted to the data processing and analysis module for storage and data processing. The data analysis step includes the following steps:

[0054] Data cleaning: The inspection module included in the data processing and analysis module checks for errors, duplications, or incomplete parts in the data and corrects or deletes them. The purpose of data cleaning is to ensure the quality of the data and provide accurate and reliable data for subsequent analysis;

[0055] Data conversion: convert the various data formats in the cleaned data into a numerical format to facilitate subsequent processing, and use ETL tools to automate and standardize data conversion;

[0056] Data reduction: randomly extract a part of the values ​​to represent the overall values ​​and reduce the amount of data;

[0057] Data integration: In this step, data collected from different sources is merged together to form a unified data set;

[0058] Data analysis: Based on the data trends within the data set, predict future data changes. For data sets with abnormal data trends or predicted trends close to abnormal data thresholds, issue early warnings and submit the environmental factors or equipment information of the corresponding data sets to the emergency plan module to develop maintenance plans and maintenance plans to reduce the occurrence of emergency events.

[0059] The circuit detection module is used to detect the circuit working status in the sensor monitoring module and the environment monitoring module of the terminal.

[0060] The detection method of the line detection module includes the following steps:

[0061] Step 1: Collect the resistance, current and voltage data of each circuit;

[0062] Step 2: Clean all collected data to ensure data quality;

[0063] Step 3: Data preprocessing, standardize the data, the formula is as follows,

[0064]

[0065] Where x is the eigenvalue, min is the minimum value among the eigenvalues, max is the maximum value among the eigenvalues, and x′ is the normalized value. It is necessary to ensure that 0≤x′≤1;

[0066] Step 4: Set the training set and use the support vector machine training model;

[0067] Step 5: When the model is trained to an accuracy rate of 90%, it can be used to analyze historical and new measurement data. New data samples are input into the model for classification. Segments classified as positive instances represent good working conditions at this time, and segments classified as negative instances represent poor working conditions at this time and need to be maintained as soon as possible.

[0068] The alarm module is connected to the smoke alarm, temperature sensor, and infrared imager, and adopts the Internet of Things fire monitoring product based on NB-IOT. When the smoke concentration or the concentration of leaked gas reaches the warning value, the system can respond in time, trigger the smoke alarm, or when abnormal image feedback occurs, or the temperature sensor detects abnormal temperature indoors, it will be fed back to the remote monitoring platform in time, and the relevant personnel will implement the corresponding emergency plan. At the same time, the abnormal data in the data processing and analysis module will be fed back to the emergency plan module to implement the corresponding emergency plan.

[0069] The emergency plan module includes an emergency plan backup module and an emergency plan process guidance module. The emergency plan module receives the regional location and environmental information of the occurrence from the monitoring module, selects the basic emergency plan template, and formulates the emergency plan. The emergency plan backup module contains multiple basic emergency plan templates. The output information of the emergency plan implementation guidance includes the process guidance of each step of the emergency plan implementation, so that relevant personnel can become familiar with the emergency plan process as soon as possible. At the same time, after each step is implemented, the implementation process will be saved in the emergency plan backup module for reference before subsequent implementation.

[0070] Second, as Figure 2 As shown, a monitoring and alarm method of an indirect building fire pump monitoring and alarm terminal includes the following steps:

[0071] S1: The data detected by the monitoring module is transmitted to the data processing and analysis module for storage, and the data processing and analysis module performs data processing, while the line detection module monitors the circuit working status in the sensor monitoring module and the environment monitoring module;

[0072] S2: The monitoring module feeds back abnormal data to the emergency plan module: when the smoke concentration or the concentration of leaked gas reaches the warning value, the smoke sensor responds and triggers the smoke alarm, and when the infrared imager detects abnormal image feedback and the temperature sensor detects abnormal temperature indoors, it feeds back to the remote monitoring platform and triggers the alarm module, and submits the abnormal data or abnormal image to the emergency plan module;

[0073] and the data processing and analysis module submits data sets with abnormally changing data trends or predicted trends close to abnormal data thresholds to the emergency plan module;

[0074] S3: The emergency plan module outputs corresponding emergency plan implementation guidance information.

Claims

1. An indirect building fire pump monitoring and alarm terminal, characterized in that: The terminal comprises: The monitoring module includes a sensor monitoring module and an environment monitoring module, which are used to receive sensor monitoring data and monitoring environment information respectively, and transmit them to the data processing and analysis module, and the abnormal information and data are directly transmitted to the alarm module; The data processing and analysis module is used to process and analyze the data detected by the monitoring module, provide early warning, and submit the environmental factors or equipment information of the corresponding data set to the emergency plan module for formulating maintenance plans and maintenance plans; The emergency plan module includes an emergency plan backup module and an emergency plan process guidance module, wherein the emergency plan backup module includes multiple basic emergency plan templates; The alarm module receives abnormal information and data, and issues real-time alarms and submits information to the emergency plan module.

2. The indirect building fire pump monitoring and alarm terminal according to claim 1 is characterized in that: The sensor monitoring module includes a flow sensor and a pressure sensor.

3. The indirect building fire pump monitoring and alarm terminal according to claim 1 is characterized in that: The environmental monitoring module is used to monitor the following information: power supply voltage, ambient temperature and humidity, and the working status of fire pumps, access control, communication interfaces, backup power supplies, valves and pipes, air partitions and backflow preventers.

4. The indirect building fire pump monitoring and alarm terminal according to claim 1 is characterized in that: The data analysis step of the data processing and analysis module includes: S1: Data cleaning: The check module included in the data processing and analysis module checks for errors and duplications in the data and deletes them; S2: Data conversion: convert the various data formats in the cleaned data into a unified numerical format; S3: Data reduction: randomly extract a part of the values ​​to represent the overall value, reducing the amount of data; S4: Data integration: merging data collected from different sources to form a unified dataset; S5: Data analysis: According to the data trend in the data set, predict the change of the later data, and send the data set with abnormal data trend or predicted trend close to the abnormal data threshold to the emergency plan module.

5. The indirect building fire pump monitoring and alarm terminal according to claim 1 is characterized in that: The emergency plan implementation guidance information includes process guidance for each step of the emergency plan implementation. After each step is implemented, the implementation process will be saved in the emergency plan backup module.

6. The indirect building fire pump monitoring and alarm terminal according to claim 1 is characterized in that: The terminal further comprises a circuit detection module for detecting the circuit working status in the sensor monitoring module and the environment monitoring module of the terminal; The detection steps of the line detection module include: S1: Collect historical data of each circuit, including resistance, current and voltage data; S2: Clean all collected historical data; S3: Data preprocessing, standardize the data, the formula is as follows, Where x is the eigenvalue, min is the minimum value among the eigenvalues, max is the maximum value among the eigenvalues, and x′ is the normalized value. It is necessary to ensure that 0≤x′≤1; S4: Divide the preprocessed data into a training set and a test set, and use a support vector machine to train the model, and determine the model accuracy based on historical data and historical judgment information; S5: When the model is trained to 90% accuracy, it can be used to analyze historical and new measurement data. New data samples are input into the model for classification. Segments classified as positive instances represent good working conditions at this time, and segments classified as negative instances represent poor working conditions at this time and need maintenance as soon as possible.

7. The indirect building fire pump monitoring and alarm terminal according to claim 1 is characterized in that: When the alarm module triggers the emergency plan module to run, the monitoring module sends the regional location and environmental information of the situation to the emergency plan module for determining the start-up process of the emergency plan.

8. The monitoring and alarm method of an indirect building fire pump monitoring and alarm terminal according to any one of claims 1 to 7, characterized in that: The following steps are involved: S1: The data detected by the monitoring module is transmitted to the data processing and analysis module for storage, and the data processing and analysis module performs data processing, while the line detection module monitors the circuit working status in the sensor monitoring module and the environment monitoring module; S2: The monitoring module feeds back abnormal data to the emergency plan module: when the smoke concentration or the concentration of leaked gas reaches the warning value, the smoke sensor responds and triggers the smoke alarm, and when the infrared imager detects abnormal image feedback and the temperature sensor detects abnormal temperature indoors, it feeds back to the remote monitoring platform and triggers the alarm module, and submits the abnormal data or abnormal image to the emergency plan module; and the data processing and analysis module submits data sets with abnormally changing data trends or predicted trends close to abnormal data thresholds to the emergency plan module; S3: The emergency plan module outputs corresponding emergency plan implementation guidance information.

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