A data acquisition method, device and system for weak current system

Abstract

The present invention discloses a data collection method, device and system for a weak current system. By monitoring the smoke concentration, carbon monoxide concentration, carbon dioxide concentration, oxygen concentration and temperature key parameters in the area, the present invention can timely discover the early signs of safety incidents such as fire, realize early warning and rapid response, and by integrating efficient data analysis algorithms, can conduct in-depth mining and real-time analysis on a large amount of collected data, improve data processing capabilities and the ability to predict potential risks, reduce dependence on manual monitoring through automated data collection and analysis, improve the level of intelligent management, and reduce operation and maintenance costs. When an abnormal situation is monitored, the present invention can quickly trigger an early warning signal, and notify management personnel in multiple ways through alarms, display devices and mobile terminals, thereby accelerating emergency response speed and improving the rate of early warning processing.

Description

Technical Field

[0001] The present invention relates to the technical field of weak current systems, and in particular to a data acquisition method, device and system for weak current systems. Background Art

[0002] With the development of intelligent buildings and smart homes, weak current systems play an increasingly important role in data collection.

[0003] However, the data collection method for weak current system in the prior art still has the following shortcomings:

[0004] Due to the closed system, difficulty in secondary development, poor data sharing, insufficient compatibility and limited scalability, these problems limit the potential of weak current systems in intelligent management, especially in terms of safety early warning capabilities. It is impossible to monitor the early signs of safety incidents in a timely and accurate manner, resulting in the inability to achieve early warning and rapid response;

[0005] In addition, there are limitations in data processing and analysis. There is often a lack of efficient data processing capabilities and intelligent analysis algorithms, making it difficult to achieve in-depth mining and real-time analysis of large amounts of data. This not only affects the response speed of the system, but also limits the prediction and prevention of potential risks.

[0006] At the same time, the monitoring area is fixed and cannot be adjusted according to actual usage needs. Waiting for collection in a natural state can easily lead to an uncontrollable emergency situation, which cannot better reduce the losses of emergencies and leads to poor actual warning effects.

[0007] To this end, a data acquisition method, device and system for a weak current system are introduced. Summary of the invention

[0008] In view of this, the present invention provides a data collection method, device and system for a weak current system to solve the problems raised by the above background technology.

[0009] The object of the present invention can be achieved by the following technical solution: A data acquisition method for a weak current system, comprising:

[0010] S1: Pre-build the architecture for data collection in the current monitoring area;

[0011] S2: Set the monitoring time interval. When the set time interval is reached, collect the abnormal parameter set in the regional air within the set time period, analyze the abnormal concentration parameter, oxygen concentration parameter and temperature parameter within the set time period, and obtain the abnormal concentration index Za, oxygen concentration index Zb and temperature evaluation index Zc in the region corresponding to the current set time period; the abnormal parameter set includes abnormal concentration parameter, oxygen concentration parameter and temperature parameter;

[0012] S3: Comprehensively evaluate the analysis results of the abnormal parameter set in the area within the current set time period, and obtain the fire warning evaluation index of the area corresponding to the current set time period based on the evaluation results. ; Extract fire warning assessment index The comparison result between the fire warning evaluation index and the set threshold index is If the threshold index is exceeded, the warning signal is triggered to execute step S4, otherwise, step S5 is executed;

[0013] S4: After the early warning signal is triggered, the alarm in the monitoring room is triggered and the following operations are performed, specifically:

[0014] S4-401: Fire warning assessment index Integrate into the surveillance video clips within the currently set time period;

[0015] S4-402: Select a manager to send an alarm signal;

[0016] S4-403: record abnormal points and integrate them into the surveillance video clips within the current set time period;

[0017] S4-404: The trigger cause is retrieved, and after screening the management personnel, a comprehensive investigation is conducted in the area;

[0018] S5: The fire warning assessment index of this group As the starting data point, if X groups of fire warning evaluation index are If both are smaller than the set threshold index, corresponding operations are performed to optimize and adjust the monitoring time interval set in step S2; wherein X>3 and is a positive integer.

[0019] In some embodiments, the abnormal concentration index Za in the region corresponding to the current set time period is obtained, specifically:

[0020] S2-201: extract the smoke concentration value at each time point in the current set time period, set the smoke concentration allowable value of the monitoring area, compare the smoke concentration value at each time point with the set smoke concentration allowable value one by one, if one group of smoke concentration values ​​is greater than the set smoke concentration allowable value, mark the group of smoke concentration values ​​as exceeding the value;

[0021] The number of exceeded values ​​is counted as the smoke excess value in the current set time period, and the average of the exceeded values ​​in each group is taken, and the ratio between the average and the smoke concentration allowable value is calculated as the smoke concentration excess value in the current set time period;

[0022] The weight coefficients of the smoke excess value and smoke density excess value of the monitoring area are set, and the smoke excess value and smoke density excess value of the monitoring area corresponding to the current set time period are multiplied by the set weight coefficients respectively, and then the sum is obtained to obtain the smoke estimation value within the current set time period;

[0023] S2-202: Similarly to step S2-201, extract the carbon monoxide concentration value and carbon dioxide concentration value at each time point in the current set time period, set the allowable carbon monoxide concentration value and carbon dioxide concentration value of the monitoring area, and analyze them respectively to obtain the carbon monoxide estimation value and carbon dioxide estimation value in the current set time period;

[0024] S2-203: Based on the current monitoring area, set the maximum allowable values ​​of the smoke valuation, oxygen valuation and dioxygen valuation, calculate the ratios between the smoke valuation, oxygen valuation and dioxygen valuation and the corresponding maximum allowable values, and add up the three sets of ratios to obtain the abnormal concentration index Za within the current set time period.

[0025] In some embodiments, the oxygen concentration index Zb and the temperature evaluation index Zc in the region corresponding to the current set time period are obtained, specifically:

[0026] S2-204: setting the minimum allowable oxygen concentration in the monitoring area, extracting the oxygen concentration value at each time point in the currently set time period, obtaining the minimum oxygen concentration value from the oxygen concentration values ​​at each time point, calculating the ratio of the minimum allowable oxygen concentration value to the minimum oxygen concentration value, and using the calculated ratio as the oxygen concentration index Zb in the currently set time period;

[0027] S2-205: extract the temperature value of the region at each time point in the current set time period, calculate the average of the temperature values ​​at each time point, and obtain the temperature average value of the region corresponding to the current set time period; take the highest and lowest values ​​of the temperature values ​​at each time point, calculate the difference between the two and take the absolute value, and obtain the temperature difference value of the region corresponding to the current set time period;

[0028] Set the maximum allowable temperature value and normal temperature difference of the area; the maximum allowable temperature value and normal temperature difference are based on the current time point;

[0029] The average temperature and the temperature difference in the current set time period are respectively calculated with the maximum allowable temperature and the normal temperature difference, that is, the average ratio index and the temperature difference index are obtained by temperature average / maximum allowable temperature and temperature difference / normal temperature difference; the average ratio index and the temperature difference index in the current set time are summed and used as the side length of the square, thereby constructing a square and calculating the area value of the constructed square, and the calculated area value is used as the temperature evaluation index in the current set time period, recorded as Zc.

[0030] In some embodiments, the fire warning assessment index of the area corresponding to the current set time period is obtained. , specifically:

[0031] The extraction area corresponds to the abnormal concentration index Za, oxygen concentration index Zb and temperature evaluation index Zc within the current set time period, according to the formula The abnormal concentration index Za, oxygen concentration index Zb and temperature assessment index Zc of the area corresponding to the current set time period are weighted to obtain the fire warning assessment index within the current set time period. ; Among them, m1, m2 and m3 are the influence weight factors of abnormal concentration index Za, oxygen concentration index Zb and temperature evaluation index Zc respectively.

[0032] In some embodiments, the alarm in the monitoring room is triggered and corresponding steps are performed, specifically:

[0033] S4-401: First, retrieve the surveillance video clips in the area corresponding to the current set time period, and display them on the display screen in the monitoring room, and extract the fire warning evaluation index obtained in the current set time period. And integrated into the surveillance video clips within the currently set time period;

[0034] S4-402: While retrieving the surveillance video clip, determine whether there is any human activity in the current surveillance room through the camera in the surveillance room. If the judgment result is that there is no human activity, the surveillance room is used as the center of the location circle to obtain the managers who are within the working range at the current time point, and send a location acquisition signal to the mobile terminal of each manager. After each manager confirms the location acquisition signal, the location of each manager at the current time point is obtained, and the manager with the closest distance is selected to send an alarm signal;

[0035] S4-403: while executing steps S4-401 and S4-402, use a thermal imaging camera to scan electrical equipment and lines in the area, capture thermal images, identify abnormal points from the captured thermal images, and record specific locations corresponding to the abnormal points. After recording, the locations are integrated into the current monitoring video clip;

[0036] S4-404: The manager searches for the cause of the triggering of the warning signal in the area. After confirming the cause, the manager records the event. If there is no abnormality in the cause search, the fire warning evaluation index in the next set time period is evaluated again through step S3. Analyze the event. If no warning signal is triggered, mark the event as a false alarm. If the warning signal is triggered again, extract similar historical events from historical events, obtain the search results of similar historical events and send them to the mobile terminal of the manager in the current monitoring room. The manager will check the area again based on the search results of similar historical events. If the search fails, immediately organize and evacuate the remaining personnel in the area, and select the manager with the largest experience evaluation value Jyt to go to the area for a comprehensive search.

[0037] S4-405: extract the total number of historical inspections and processing and the working years from the work log of each manager, and obtain the distance between each manager and the area at the current time point, and mark the distance and working years of each manager as nh1 and nh2 respectively;

[0038] The number of successful troubleshooting is obtained from the total number of historical troubleshooting processes of each manager, and the number of successful troubleshooting is marked as nh3. At the same time, the time taken by each manager for each successful troubleshooting is obtained. The time taken starts from the time when the manager is selected and ends when the troubleshooting is completed. The assessment time is preset. If the time taken for a successful troubleshooting is less than the preset assessment time, the successful troubleshooting is marked as a high-efficiency troubleshooting. The number of high-efficiency troubleshootings of each manager is counted as the number of efficient troubleshootings of each manager, and recorded as nh4.

[0039] According to the formula A weighted calculation is performed on the distance nh1, working experience nh2, number of successful inspections nh3 and number of efficiency inspections nh4 of each manager at the current time point; among which v1, v2, v3 and v4 are the influencing weight factors of the distance nh1, working experience nh2, number of successful inspections nh3 and number of efficiency inspections nh4 respectively.

[0040] In some embodiments, the monitoring time interval set in step S2 is optimized and adjusted, specifically:

[0041] Based on the fire warning evaluation index of each group Construct a line chart of the index changes in the region based on the fire warning evaluation index of each group Draw the fire warning assessment index of each group in chronological order Corresponding to the numerical points in the line graph, connect the adjacent numerical points to get the exponential line, calculate the slope of each exponential line and the angle between it and the horizontal line, if the angle between an exponential line and the horizontal line is an obtuse angle, then mark the slope of the exponential line as a descending slope, if the angle between an exponential line and the horizontal line is an acute angle, then mark the slope of the exponential line as an ascending slope, sum all the ascending slopes to get the total ascending value, take the absolute values ​​of all the descending slopes and sum them to get the total descending value, calculate the ratio between the total ascending value and the total descending value, and get the stable valuation Pe;

[0042] Mark the highest and lowest numerical points in the line graph, construct a vertical line between them, and calculate the length of the vertical line to obtain the stable difference Pg;

[0043] Substitute the obtained stable estimate Pe and stable difference Pg into the formula , and perform weighted calculation to obtain the risk assessment index Ku; where y1 and y2 are the influencing weight factors of the stable estimate Pe and the stable difference Pg respectively;

[0044] Preset the value ranges of each index of the risk assessment index Ku, set each index value range to correspond to an interval duration additional value, match the currently calculated risk assessment index Ku with the preset value ranges of each index, and obtain the interval duration additional value; add the obtained interval duration additional value to the monitoring time interval set in step S2, and use the accumulated value as the adjusted monitoring time interval in step S2.

[0045] In some embodiments, a data acquisition device for a weak current system includes a sensor unit, a thermal imaging camera unit, a wireless communication unit, a data processing unit, an early warning unit, a data storage device, a video monitoring unit, and a power supply unit;

[0046] The sensor unit includes a smoke detector, a gas concentration sensor and a temperature sensor, which are used to collect abnormal concentration parameters, oxygen concentration parameters and temperature parameters in the area;

[0047] The thermal imaging camera unit is specifically a thermal imaging camera, which is used to capture thermal images of electrical equipment and lines and identify hot spots;

[0048] The wireless communication unit transmits data to the data processing unit using Wi-Fi technology;

[0049] The data processing unit executes data analysis and early warning algorithms to process the collected data:

[0050] The early warning unit includes an alarm and a display device for sounding an alarm when an abnormal situation is detected, and for displaying real-time data;

[0051] The data storage device includes a solid-state hard disk for recording the data and time of the above analysis;

[0052] The video monitoring unit is specifically a camera, which is used to provide real-time video monitoring and is integrated with the early warning unit;

[0053] Gas collection mechanism, used to cooperate with smoke detectors to monitor abnormal concentration parameters, and cooperate with thermal imaging cameras to capture thermal images of electrical equipment and lines, identify hot spots, and install wireless communication units and power supply units;

[0054] Gas guide mechanism, used to cooperate with gas concentration sensor to monitor oxygen concentration parameters;

[0055] An extension mechanism, used to extend the gas collection monitoring range, and cooperate with the temperature sensor to monitor the temperature parameters; and

[0056] The power supply unit is used to provide power for the entire data acquisition device.

[0057] In some embodiments, a data acquisition device for a weak current system, the gas collection mechanism includes a base, a top frame, a mounting seat, a sealing frame and a rotating frame, the top frame is connected and arranged on the top of the base, the mounting seat is fixedly connected to the top of the top frame, the smoke detector is arranged at the bottom of the mounting seat, a mounting box is fixedly connected between the opposite outer surfaces on both sides of the mounting seat, the sealing frame is inserted into the base, the rotating frame is rotatably connected to the bottom of the sealing frame, and the thermal imaging camera is rotatably connected between the opposite inner walls on both sides of the rotating frame;

[0058] The gas guide mechanism includes a gas guide ring and a gas guide tube, the gas guide ring is slidably sleeved on the outer surface of the rotating frame, and the inside of the gas guide ring is connected with the inside of the rotating frame, the gas guide tube is connected and arranged on the outer surface of one side of the gas guide ring, and one end of the gas guide tube is connected with the inside of the top frame, and the gas concentration sensor is arranged on the gas guide tube;

[0059] The extension mechanism includes an extension frame and an elastic extension tube. A movable threaded rod is rotatably connected between the relative outer surfaces on both sides of the extension frame. The outer surface of the movable threaded rod is threadedly connected to the movable frame. The elastic extension tube is connected and arranged on the outer surface of one side of the extension frame. Three air inlets are equidistantly opened on the inner bottom surface of the extension frame. The temperature sensor is arranged on the movable frame.

[0060] In some embodiments, a data acquisition device for a weak current system, the gas collection mechanism further includes a gas collection component, an adjustment component and a mixing component, the gas collection component is arranged on a base, the adjustment component is arranged on a rotating frame, and the mixing component is arranged on a sealing frame;

[0061] The air guide mechanism further comprises a driving component, and the driving component is arranged on the air guide pipe;

[0062] The extending mechanism further comprises an adjusting component, and the adjusting component is arranged on the extending frame.

[0063] In some embodiments, a data acquisition system for a weak current system includes:

[0064] Data acquisition module: collects abnormal concentration parameters, oxygen concentration parameters and temperature parameters in the regional air within a set time period;

[0065] Data transmission module: transmits the collected data to the data analysis module through a wireless network;

[0066] Data analysis module: Analyzes the abnormal concentration parameters, oxygen concentration parameters and temperature parameters within the set time period, obtains the abnormal concentration index Za, oxygen concentration index Zb and temperature evaluation index Zc in the area corresponding to the current set time period, and sends them to the early warning processing module;

[0067] Early warning processing module: Comprehensively analyze the abnormal concentration index Za, oxygen concentration index Zb and temperature assessment index Zc in the area within the current set time period to obtain the fire early warning assessment index of the area corresponding to the current set time period ; Set the fire warning assessment index corresponding to the area The threshold index, if the fire warning evaluation index within a set time period If the threshold index exceeds the set value, the warning signal is triggered and step S4 is executed; otherwise, step S5 is executed;

[0068] A communication connection is established between the data acquisition module and the sensor unit, a communication connection is established between the data transmission module and the wireless communication unit, a communication connection is established between the data analysis module and the data processing unit, and a communication connection is established between the early warning processing module and the early warning unit, the thermal imaging unit and the video monitoring unit.

[0069] Compared with the prior art, the present invention has the following beneficial effects:

[0070] 1. The present invention can timely discover early signs of safety incidents such as fires by monitoring the key parameters of smoke concentration, carbon monoxide concentration, carbon dioxide concentration, oxygen concentration and temperature in the area, realize early warning and rapid response, and integrate efficient data analysis algorithms to conduct in-depth mining and real-time analysis of a large amount of collected data, thereby improving data processing capabilities and the ability to predict potential risks. Through automated data collection and analysis, the present invention reduces dependence on manual monitoring, improves the level of intelligent management, and reduces operation and maintenance costs. When abnormal conditions are detected, early warning signals can be quickly triggered, and management personnel can be notified through alarms, display devices and mobile terminals in a variety of ways, thereby accelerating emergency response speed and improving the rate of early warning processing;

[0071] 2. The present invention intelligently adjusts the monitoring time interval according to the changing trend of the fire warning evaluation index to achieve more effective resource utilization and risk management;

[0072] 3. The present invention can collect and monitor gas in the monitoring area more quickly through the gas collecting mechanism and the gas guiding mechanism, and then can effectively prevent the further deterioration of the emergency situation. The extension mechanism can adjust the monitoring range according to actual monitoring needs, effectively improving the actual monitoring effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Further details, features and advantages of the present application are disclosed in the following description of exemplary embodiments in conjunction with the accompanying drawings, in which:

[0074] Figure 1 A flow chart of a data acquisition method for a weak current system according to the present invention;

[0075] Figure 2 This is a functional block diagram of a data acquisition device for a weak current system according to the present invention;

[0076] Figure 3 The present invention is a principle block diagram of a data acquisition system for a weak current system;

[0077] Figure 4 A first-view stereoscopic diagram of a data acquisition device for a weak current system according to the present invention;

[0078] Figure 5 A second perspective stereogram of a data acquisition device for a weak current system according to the present invention;

[0079] Figure 6 A first-angle cutaway stereoscopic diagram of a data acquisition device for a weak current system according to the present invention;

[0080] Figure 7 It is a cross-sectional expanded stereoscopic diagram of a gas collecting mechanism in a data acquisition device for a weak current system of the present invention;

[0081] Figure 8 The present invention is a data acquisition device for weak current system Figure 7 Enlarged view of part A;

[0082] Fig. 9 The present invention is a data acquisition device for weak current system Figure 7 Enlarged view of part B;

[0083] Fig.10 This is a three-dimensional diagram of an air guide mechanism in a data acquisition device for a weak current system of the present invention;

[0084] Fig.11 It is a cross-sectional and expanded stereoscopic diagram of an extension mechanism in a data acquisition device for a weak current system of the present invention;

[0085] Fig.12 The present invention is a data acquisition device for weak current system Fig.11 Enlarged view of part C.

[0086] Markings in the figure:

[0087] 1. Air collecting mechanism; 101. Base; 102. Connecting frame; 103. Sealing cover; 104. Exhaust fan body; 105. Sealing frame; 106. Air guide frame; 107. Partition plate; 108. Guide plate; 109. Impeller; 110. Linking gear; 111. Slow flow pipe; 112. Partition pipe; 113. Top frame; 114. Mounting seat; 115. Smoke detector; 116. Mounting box; 117. Fan blade; 118. Linking gear ring; 119. Rotating frame; 120. Rotating gear ring; 121. Thermal imaging camera; 122. Threaded pipe; 123. Push rod; 124. Lifting frame; 125. Rotating worm; 126. Rotating motor;

[0088] 2. Gas guide mechanism; 201. Gas guide ring; 202. Gas guide tube; 203. Gas concentration sensor; 204. Drive motor; 205. First drive gear;

[0089] 3. Extension mechanism; 301. Extension frame; 302. Moving threaded rod; 303. Moving motor; 304. Elastic extension tube; 305. Reset frame; 306. Reset spring; 307. Sealing block; 308. Moving frame; 309. Temperature sensor; 310. Abutment sheet. DETAILED DESCRIPTION

[0090] Several embodiments of the present application will be described in more detail below with reference to the accompanying drawings so that those skilled in the art can implement the present application. The present application can be embodied in many different forms and purposes and should not be limited to the embodiments described herein. These embodiments are provided to make the present application comprehensive and complete, and to fully convey the scope of the present application to those skilled in the art. The embodiments do not limit the present application.

[0091] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art to which this application belongs. It will be further understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the relevant art and / or the context of this specification, and will not be interpreted in an idealized or overly formal sense unless explicitly defined as such herein.

[0092] Example 1

[0093] See also Figure 1 As shown, a data acquisition method for a weak current system includes:

[0094] S1: Based on the current monitoring area, build a data collection architecture, including hardware layout, data transmission method, data processing unit and early warning unit, and select the corresponding hardware for installation according to the type of monitoring area;

[0095] Install sensors, including smoke detector 115, gas concentration sensor 203 and temperature sensor 309, and set sensor parameters; parameters include but are not limited to sampling rate, range and gain, etc.;

[0096] Install thermal imaging cameras 121, install thermal imaging cameras 121 at key locations to ensure coverage of all areas that need to be monitored;

[0097] The data transmission method uses wireless transmission technology, such as Wi-Fi, Bluetooth, and ZigBee, etc.; it is used to transmit the collected data to the data processing unit through the wireless network, and is also used to establish connections with management personnel and between units;

[0098] After the data processing unit processes the collected data, it sends it to the early warning unit; the early warning unit is set up in the monitoring room, including common display devices and alarms, and the display devices are such as LCD display screens or LED display screens, etc.;

[0099] S2: Set the monitoring time interval; the management personnel make the initial setting, and then make adaptive adjustments according to the actual situation; when the set time interval is reached, collect the abnormal parameter set in the regional air within the set time period, analyze the abnormal concentration parameter, oxygen concentration parameter and temperature parameter within the set time period, and the abnormal parameter set includes abnormal concentration parameter, oxygen concentration parameter and temperature parameter; the set time period is set by the management personnel; obtain the abnormal concentration index Za, oxygen concentration index Zb and temperature evaluation index Zc in the region corresponding to the current set time period;

[0100] The abnormal concentration parameters and temperature parameters are collected through smoke detectors 115, gas concentration sensors 203 and temperature sensors 309 installed in the area;

[0101] Specifically:

[0102] S2-201: extract the smoke concentration value at each time point in the current set time period, set the smoke concentration allowable value of the monitoring area, compare the smoke concentration value at each time point with the set smoke concentration allowable value one by one, if one group of smoke concentration values ​​is greater than the set smoke concentration allowable value, mark the group of smoke concentration values ​​as exceeding the value;

[0103] The number of exceeded values ​​is counted as the smoke excess value in the current set time period, and the average of the exceeded values ​​in each group is taken, and the ratio between the average and the smoke concentration allowable value is calculated as the smoke concentration excess value in the current set time period;

[0104] The weight coefficients of the smoke excess value and smoke density excess value of the monitoring area are set, and the smoke excess value and smoke density excess value of the monitoring area corresponding to the current set time period are multiplied by the set weight coefficients respectively, and then the sum is obtained to obtain the smoke estimation value within the current set time period;

[0105] S2-202: Similarly to step S2-201, extract the carbon monoxide concentration value and carbon dioxide concentration value at each time point in the current set time period, set the allowable carbon monoxide concentration value and carbon dioxide concentration value of the monitoring area, and analyze them respectively to obtain the carbon monoxide estimation value and carbon dioxide estimation value in the current set time period;

[0106] S2-203: Based on the current monitoring area, set the maximum allowable values ​​of the smoke estimation, oxygen estimation and oxygen divaluation, respectively calculate the ratios between the smoke estimation, oxygen estimation and oxygen divaluation and the corresponding maximum allowable values, and add up the calculated three sets of ratios to obtain the abnormal concentration index Za within the current set time period;

[0107] S2-204: setting the minimum allowable oxygen concentration in the monitoring area, extracting the oxygen concentration value at each time point in the currently set time period, obtaining the minimum oxygen concentration value from the oxygen concentration values ​​at each time point, calculating the ratio of the minimum allowable oxygen concentration value to the minimum oxygen concentration value, and using the calculated ratio as the oxygen concentration index Zb in the currently set time period;

[0108] S2-205: extract the temperature value of the region at each time point in the current set time period, calculate the average of the temperature values ​​at each time point, and obtain the temperature average value of the region corresponding to the current set time period; take the highest and lowest values ​​of the temperature values ​​at each time point, calculate the difference between the two and take the absolute value, and obtain the temperature difference value of the region corresponding to the current set time period;

[0109] Set the maximum allowable temperature value and the normal temperature difference of the area; the maximum allowable temperature value and the normal temperature difference are based on the current time point; and are marked as Wja and Wjb respectively;

[0110] The temperature mean and temperature difference in the current set time period are calculated by ratio with the maximum allowable temperature value and the normal temperature difference, that is, the average ratio index and the temperature difference index are obtained by temperature mean / maximum allowable temperature value and temperature difference / normal temperature difference; the average ratio index and the temperature difference index in the current set time are summed and used as the side length of the square, thereby constructing a square and calculating the area value of the constructed square, and the calculated area value is used as the temperature evaluation index in the current set time period, recorded as Zc;

[0111] S3: Comprehensively evaluate the analysis results of the abnormal parameter set in the area within the current set time period, and obtain the fire warning evaluation index of the area corresponding to the current set time period based on the evaluation results. ; Extract fire warning assessment index The comparison result between the fire warning evaluation index and the set threshold index is If the threshold index is exceeded, the warning signal is triggered to execute step S4, otherwise, step S5 is executed;

[0112] Get the fire warning assessment index of the area corresponding to the current set time period , specifically:

[0113] The extraction area corresponds to the abnormal concentration index Za, oxygen concentration index Zb and temperature evaluation index Zc within the current set time period, according to the formula The abnormal concentration index Za, oxygen concentration index Zb and temperature assessment index Zc of the area corresponding to the current set time period are weighted to obtain the fire warning assessment index within the current set time period. ; Among them, m1, m2 and m3 are the influence weight factors of abnormal concentration index Za, oxygen concentration index Zb and temperature evaluation index Zc respectively

[0114] S4: After the early warning signal is triggered, the alarm in the monitoring room is triggered and corresponding steps are executed; specifically:

[0115] S4-401: First, retrieve the surveillance video clips in the area corresponding to the current set time period, and display them on the display screen in the monitoring room, and extract the fire warning evaluation index obtained in the current set time period. And integrated into the surveillance video clips within the currently set time period;

[0116] S4-402: While retrieving the surveillance video clip, determine whether there is any human activity in the current surveillance room through the camera in the surveillance room. If the judgment result is that there is no human activity, the surveillance room is used as the center of the location circle to obtain the managers who are within the working range at the current time point, and send a location acquisition signal to the mobile terminal of each manager. After each manager confirms the location acquisition signal, the location of each manager at the current time point is obtained, and the manager with the closest distance is selected to send an alarm signal;

[0117] S4-403: while executing steps S4-401 and S4-402, use the thermal imaging camera 121 to scan the electrical equipment and lines in the area, capture thermal images, and identify abnormal points from the captured thermal images; set temperature thresholds to facilitate identification of abnormal points; and record the specific locations corresponding to the abnormal points, which are then integrated into the current monitoring video clip after recording is completed;

[0118] S4-404: The manager searches for the cause of the triggering of the warning signal in the area. After confirming the cause, the manager records the event. If there is no abnormality in the cause search, the fire warning evaluation index in the next set time period is evaluated again through step S3. Analyze the event. If no warning signal is triggered, mark the event as a false alarm. If the warning signal is triggered again, extract similar historical events from historical events, obtain the search results of similar historical events and send them to the mobile terminal of the manager in the current monitoring room. The manager will check the area again based on the search results of similar historical events. If the search fails, immediately organize and evacuate the remaining personnel in the area, and select the manager with the largest experience evaluation value Jyt to go to the area for a comprehensive search.

[0119] S4-405: extract the total number of historical inspections and processing and the working years from the work log of each manager, and obtain the distance between each manager and the area at the current time point, and mark the distance and working years of each manager as nh1 and nh2 respectively;

[0120] The number of successful troubleshooting is obtained from the total number of historical troubleshooting processes of each manager, and the number of successful troubleshooting is marked as nh3. At the same time, the time taken by each manager for each successful troubleshooting is obtained. The time taken starts from the time when the manager is selected and ends when the troubleshooting is completed. The assessment time is preset. If the time taken for a successful troubleshooting is less than the preset assessment time, the successful troubleshooting is marked as a high-efficiency troubleshooting. The number of high-efficiency troubleshootings of each manager is counted as the number of efficient troubleshootings of each manager, and recorded as nh4.

[0121] According to the formula Perform weighted calculation on the distance nh1, working years nh2, number of successful inspections nh3 and number of efficiency inspections nh4 of each manager at the current time point; v1, v2, v3 and v4 are the influencing weight factors of the distance nh1, working years nh2, number of successful inspections nh3 and number of efficiency inspections nh4 respectively;

[0122] S5: If the fire warning evaluation index within a set time period If the fire warning index of this group is lower than the set threshold index, As the starting data point, if X groups of fire warning evaluation index are If all of them are less than the set threshold index, the monitoring time interval set in step S2 is optimized and adjusted; wherein X>3 and is a positive integer, and the specific value is set by the management personnel;

[0123] Based on the above fire warning evaluation index groups , construct the index change line chart of the region, based on the fire warning evaluation index of each group Draw the fire warning assessment index of each group in chronological order Corresponding to the numerical points in the line graph, connect the adjacent numerical points to get the exponential line, calculate the slope of each exponential line and the angle between it and the horizontal line, if the angle between an exponential line and the horizontal line is an obtuse angle, then mark the slope of the exponential line as a descending slope, if the angle between an exponential line and the horizontal line is an acute angle, then mark the slope of the exponential line as an ascending slope, sum all the ascending slopes to get the total ascending value, take the absolute values ​​of all the descending slopes and sum them to get the total descending value, calculate the ratio between the total ascending value and the total descending value, and get the stable valuation Pe;

[0124] Mark the highest and lowest numerical points in the line graph, construct a vertical line between them, and calculate the length of the vertical line to obtain the stable difference Pg;

[0125] Substitute the obtained stable estimate Pe and stable difference Pg into the formula , and weighted calculation is performed to obtain the risk assessment index Ku; where y1 and y2 are the influence weight factors of the stable estimate Pe and the stable difference Pg, and their values ​​are set to 1.158 and 1.139 respectively;

[0126] Preset the value range of each index of the risk assessment index Ku, set each index value range to correspond to an interval duration additional value, match the currently calculated risk assessment index Ku with the preset value range of each index, and obtain the interval duration additional value; the larger the risk assessment index Ku, the smaller the matched interval duration additional value; add the obtained interval duration additional value to the monitoring time interval set in step S2, and use the accumulated value as the adjusted monitoring time interval in step S2;

[0127] Example 2

[0128] See also Figure 2 and Figure 4-Figure 12 As shown, based on a data acquisition method for a weak current system provided in Example 1 of the present application, Example 2 of the present application proposes a data acquisition device for a weak current system. Example 2 is only a preferred method of Example 1, and the implementation of Example 2 will not affect the independent implementation of Example 1;

[0129] A data acquisition device for a weak current system, comprising a sensor unit, a thermal imaging camera unit, a wireless communication unit, a data processing unit, an early warning unit, a data storage device, a video monitoring unit and a power supply unit;

[0130] The sensor unit includes a smoke detector 115, a gas concentration sensor 203 and a temperature sensor 309, which are used to collect abnormal concentration parameters, oxygen concentration parameters and temperature parameters in the area;

[0131] The thermal imaging camera unit is specifically a thermal imaging camera 121, which is used to capture thermal images of electrical equipment and lines and identify hot spots;

[0132] The wireless communication unit transmits data to the data processing unit using Wi-Fi technology;

[0133] The data processing unit executes data analysis and early warning algorithms to process the collected data:

[0134] The early warning unit includes an alarm and a display device for sounding an alarm when an abnormal situation is detected, and for displaying real-time data;

[0135] The data storage device includes a solid-state hard disk for recording the data and time of the above analysis;

[0136] The video monitoring unit is specifically a camera, which is used to provide real-time video monitoring and is integrated with the early warning unit;

[0137] The gas collecting mechanism 1 is used to cooperate with the smoke detector 115 to monitor abnormal concentration parameters, and cooperate with the thermal imaging camera 121 to capture thermal images of electrical equipment and lines, identify hot spots, and install wireless communication units and power supply units;

[0138] The gas collecting mechanism 1 includes a base 101, a top frame 113, a mounting seat 114, a sealing frame 105 and a rotating frame 119. The top frame 113 is connected and arranged at the top of the base 101. The mounting seat 114 is fixedly connected to the top of the top frame 113. The smoke detector 115 is arranged at the bottom of the mounting seat 114. The mounting box 116 is fixedly connected between the opposite outer surfaces on both sides of the mounting seat 114. The sealing frame 105 is inserted into the inside of the base 101. The rotating frame 119 is rotatably connected to the bottom of the sealing frame 105. The thermal imaging camera 121 is rotatably connected between the opposite inner walls on both sides of the rotating frame 119.

[0139] The gas collecting mechanism 1 further comprises a gas collecting component, an adjusting component and a mixing component. The gas collecting component is arranged on the base 101, the adjusting component is arranged on the rotating frame 119, and the mixing component is arranged on the sealing frame 105;

[0140] The air collecting component includes four connecting frames 102 and fan blades 117. The fan blades 117 are rotatably connected to the bottom of the sealing frame 105. The outer surface of the fan blades 117 is sleeved with a linkage gear ring 118. The four connecting frames 102 are equidistantly inserted inside the base 101. The inside of each connecting frame 102 is fixedly connected to the exhaust fan body 104. Among them, one end of three connecting frames 102 is slidably inserted with a sealing cover 103, and one end of another connecting frame 102 is fixedly connected to one end of the elastic extension tube 304.

[0141] The regulating components include four air guide frames 106, a partition 107, four guide plates 108, a slow flow tube 111 and a partition tube 112. The partition 107 is fixedly connected to the inside of the sealing frame 105. The four air guide frames 106 are equidistantly passed through the top of the partition 107. The inside of each air guide frame 106 is connected to the inside of the corresponding connection frame 102. Each guide plate 108 is fixedly connected to the bottom surface of the inside of the sealing frame 105, and the outer surface of one side of each guide plate 108 is fixedly connected to the outer surface of one side of the corresponding air guide frame 106. The outer surface of the other side of each guide plate 108 is rotatably connected to an impeller 109. The bottom end of each impeller 109 extends to the outside of the sealing frame 105. The bottom end of each impeller 109 is sleeved with a linkage gear 110. Each linkage gear 110 is meshed with a linkage gear ring 118. The slow flow tube 111 is connected and arranged on the top of the partition 107. The partition tube 112 is fixedly connected to the top of the sealing frame 105.

[0142] The mixing component includes a rotating ring gear 120, a support frame 124, a rotating motor 126, a threaded tube 122, a rotating worm wheel and a rotating worm 125. The rotating ring gear 120 is sleeved on the outer surface of the rotating frame 119. The support frame 124 is fixedly connected to the outer surface of one side of the thermal imaging camera 121121. The threaded tube 122 is rotatably connected to the inner bottom surface of the rotating frame 119. The rotating worm wheel is sleeved on the outer surface of the threaded tube 122. The threaded tube 122 is internally threadedly connected with a push rod 123. The top end of the push rod 123 is slidably embedded in the support frame 124. The rotating worm 125 is rotatably connected to the inner bottom surface of the rotating frame 119. The rotating motor 126 is fixedly connected to the inner bottom surface of the rotating frame 119. The output end of the rotating motor 126 is fixedly connected to one end of the rotating worm 125.

[0143] The gas guide mechanism 2 is used to cooperate with the gas concentration sensor 203 to monitor the oxygen concentration parameter. The gas guide mechanism 2 includes a gas guide ring 201 and a gas guide tube 202. The gas guide ring 201 is slidably sleeved on the outer surface of the rotating frame 119, and the inside of the gas guide ring 201 is connected to the inside of the rotating frame 119. The gas guide tube 202 is connected and arranged on the outer surface of one side of the gas guide ring 201, and one end of the gas guide tube 202 is connected to the inside of the top frame 113. The gas concentration sensor 203 is arranged on the gas guide tube 202. The gas guide mechanism 2 also includes a driving component, and the driving component is arranged on the gas guide tube 202;

[0144] The driving component includes a driving motor 204 and a second driving gear. The driving motor 204 is fixedly connected to the top of the air duct 202. The output end of the driving motor 204 is sleeved with a first driving gear 205. The second driving gear is rotatably connected to the top of the air duct 202. The second driving gear is meshed with the first driving gear 205, and the second driving gear is meshed with the rotating gear ring 120.

[0145] The extension mechanism 3 is used to extend the gas collection monitoring range and cooperate with the temperature sensor 309 to monitor the temperature parameters. The extension mechanism 3 includes an extension frame 301 and an elastic extension tube 304. The extension frame 301 has two opposite outer surfaces on both sides thereof rotatably connected with a movable threaded rod 302. The outer surface of the movable threaded rod 302 is threadedly connected with a movable frame 308. The elastic extension tube 304 is connected and arranged on the outer surface of one side of the extension frame 301. The inner bottom surface of the extension frame 301 is provided with three air inlets at equal distances. The temperature sensor 309 is arranged on the movable frame 308. The extension mechanism 3 also includes an adjustment component, which is arranged on the extension frame 301.

[0146] The adjusting component includes a moving motor 303, a stopper 310, and three reset frames 305. The moving motor 303 is fixedly connected to the outer surface of one side of the extension frame 301. The output end of the moving motor 303 is fixedly connected to one end of the moving threaded rod 302. The stopper 310 is fixedly connected to the outer surface of one side of the moving frame 308. The three reset frames 305 are all fixedly connected to the inner bottom surface of the extension frame 301, and the interior of each reset frame 305 is connected to the interior of the corresponding air inlet. A sealing block 307 is slidably embedded in the interior of each reset frame 305. One end of each sealing block 307 slides through the corresponding air inlet. A reset spring 306 is arranged inside each reset frame 305. A sealing cover 103 is also inserted at the other end of the extension frame 301.

[0147] The power supply unit is used to provide power to the entire data acquisition device;

[0148] The working principle or working method of this data acquisition device is:

[0149] The device is stably set at the designated use position through the mounting seat 114, and the extension mechanism 3 is increased or decreased according to the actual required monitoring range, so that the adjacent extension frames 301 can be connected through the elastic extension tube 304, and then the corresponding moving motor 303 is controlled. The moving motor 303 drives the corresponding moving threaded rod 302 to rotate. The rotating moving threaded rod 302 adjusts the position of the moving frame 308 in the horizontal direction, so that the moving frame 308 moves to the bottom of the corresponding air inlet through the stop piece 310, and then squeezes the corresponding sealing block 307, so that the air inlet can be connected with the inside of the extension frame 301 through the reset frame 305, and the exhaust fan body 104 is started. The exhaust fan body 104 quickly retrieves the gas at the corresponding monitoring position through the extension mechanism 3, and at the same time, the temperature parameters of the monitoring area are collected and processed in time through the temperature sensor 309, so as to effectively improve the actual monitoring range of the equipment;

[0150] The exhaust fan body 104 injects the collected gas into the space below the partition 107 through the connecting frame 102 and the air guide frame 106. At the same time, under the obstruction of the guide plate 108, the flowing airflow flows along the gap between the inner wall of the sealing frame 105 and the guide plate 108, thereby driving the impeller 109 to rotate. The rotating impeller 109 cooperates with the linkage gear 110 and the linkage gear ring 118 to drive the fan blades 117 to rotate. The fan blades 117 can accelerate the discharge of the air inside the top frame 113, so that the gas collected inside the sealing frame 105 can be slowly injected into the partition tube 112 through the slow flow tube 111, and then the smoke detector 115 can collect abnormal concentration parameters in time, and finally can issue a dangerous early warning in time;

[0151] When the collected gas is injected into the rotating frame 119 through the air guide tube 202 and the air guide ring 201, the collected gas can be effectively detected by the gas concentration sensor 203, and then the gas concentration sensor 203 performs monitoring and collection of the reverse oxygen concentration parameters. At the same time, the flow airflow injected into the rotating frame 119 flows through the thermal imaging camera 121 under the action of the rotating fan blades 117, and then ensures efficient heat dissipation of the thermal imaging camera 121, so that the thermal imaging camera 121 can operate for a long time, and finally improves the actual monitoring safety;

[0152] Start the drive motor 204, so that the drive motor 204 cooperates with the first drive gear 205, the second drive gear and the rotating gear ring 120 to rotate and adjust the use angle of the rotating frame 119, thereby facilitating the thermal imaging camera 121 to monitor the electrical equipment and lines, thereby improving the actual use effect of the equipment and the early warning efficiency;

[0153] Example 3

[0154] See also Figure 3 As shown, based on a data acquisition method for a weak current system provided in Example 1 of the present application, Example 3 of the present application proposes a data acquisition system for a weak current system. Example 3 is only a preferred embodiment of Example 1, and the implementation of Example 3 will not affect the independent implementation of Example 1;

[0155] A data acquisition system for a weak current system, comprising a data acquisition module, a data transmission module, a data analysis module and an early warning processing module;

[0156] The data acquisition module is used to collect abnormal concentration parameters, oxygen concentration parameters and temperature parameters in the regional air within a set time period;

[0157] The data transmission module is used to transmit the collected data to the data analysis module through a wireless network;

[0158] The data analysis module is used to analyze the abnormal concentration parameters, oxygen concentration parameters and temperature parameters within the set time period, obtain the abnormal concentration index Za, oxygen concentration index Zb and temperature evaluation index Zc in the area corresponding to the current set time period, and send them to the early warning processing module;

[0159] The early warning processing module is used to comprehensively analyze the abnormal concentration index Za, oxygen concentration index Zb and temperature evaluation index Zc in the area within the current set time period, and obtain the fire early warning evaluation index of the area corresponding to the current set time period. ; Set the fire warning assessment index corresponding to the area The threshold index, if the fire warning evaluation index within a set time period If the threshold index exceeds the set value, the warning signal is triggered and step S4 is executed; otherwise, step S5 is executed;

[0160] It should be noted that a communication connection is established between the data acquisition module and the sensor unit, a communication connection is established between the data transmission module and the wireless communication unit, a communication connection is established between the data analysis module and the data processing unit, and a communication connection is established between the early warning processing module and the early warning unit, the thermal imaging unit and the video monitoring unit.

[0161] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The influencing weight factor and specific coefficient value in the formula are set by technical personnel in this field according to actual conditions, and can be adjusted and modified later.

[0162] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A data acquisition method for a weak current system, characterized in that: include: S1: Pre-build the architecture for data collection in the current monitoring area; S2: Set the monitoring time interval. When the set time interval is reached, collect the abnormal parameter set in the regional air within the set time period, analyze the abnormal concentration parameter, oxygen concentration parameter and temperature parameter within the set time period, and obtain the abnormal concentration index Za, oxygen concentration index Zb and temperature evaluation index Zc in the region corresponding to the current set time period; the abnormal parameter set includes abnormal concentration parameter, oxygen concentration parameter and temperature parameter; S3: Comprehensively evaluate the analysis results of the abnormal parameter set in the area within the current set time period, and based on the evaluation results, obtain the fire warning evaluation index α of the area corresponding to the current set time period; extract the comparison result between the fire warning evaluation index α and the set threshold index, if the fire warning evaluation index α exceeds the set threshold index, trigger the warning signal to execute step S4, otherwise execute step S5; S4: After the early warning signal is triggered, the alarm in the monitoring room is triggered and the following operations are performed, specifically: S4-401: Integrate the fire warning evaluation index α into the surveillance video clips within the current set time period; S4-402: Select a manager to send an alarm signal; S4-403: Record the abnormal points and integrate them into the surveillance video clips within the current set time period; S4-404: The trigger cause is retrieved, and after screening the management personnel, a comprehensive investigation is conducted in the area; S5: taking the group of fire warning evaluation index α as the starting data point, after the starting data point, if the X groups of fire warning evaluation index α are all less than the set threshold index, then performing corresponding operations to optimize and adjust the monitoring time interval set in step S2; wherein X>3 and is a positive integer; Get the abnormal concentration index Za in the area corresponding to the current set time period, specifically: S2-201: extract the smoke concentration value at each time point in the current set time period, set the smoke concentration allowable value of the monitoring area, compare the smoke concentration value at each time point with the set smoke concentration allowable value one by one, if one group of smoke concentration values ​​is greater than the set smoke concentration allowable value, mark the group of smoke concentration values ​​as exceeding the value; The number of exceeded values ​​is counted as the smoke excess value in the current set time period, and the average of the exceeded values ​​in each group is taken, and the ratio between the average and the smoke concentration allowable value is calculated as the smoke concentration excess value in the current set time period; The weight coefficients of the smoke excess value and smoke density excess value of the monitoring area are set, and the smoke excess value and smoke density excess value of the monitoring area corresponding to the current set time period are multiplied by the set weight coefficients respectively, and then the sum is obtained to obtain the smoke estimation value within the current set time period; S2-202: Similarly to step S2-201, extract the carbon monoxide concentration value and carbon dioxide concentration value at each time point in the current set time period, set the allowable carbon monoxide concentration value and carbon dioxide concentration value of the monitoring area, and analyze them respectively to obtain the carbon monoxide estimation value and carbon dioxide estimation value in the current set time period; S2-203: Based on the current monitoring area, set the maximum allowable values ​​of the smoke estimation, oxygen estimation and oxygen divaluation, respectively calculate the ratios between the smoke estimation, oxygen estimation and oxygen divaluation and the corresponding maximum allowable values, and add up the calculated three sets of ratios to obtain the abnormal concentration index Za within the current set time period; The oxygen concentration index Zb and temperature evaluation index Zc in the area corresponding to the current set time period are obtained, specifically: S2-204: setting the minimum allowable oxygen concentration in the monitoring area, extracting the oxygen concentration value at each time point in the currently set time period, obtaining the minimum oxygen concentration value from the oxygen concentration values ​​at each time point, calculating the ratio of the minimum allowable oxygen concentration value to the minimum oxygen concentration value, and using the calculated ratio as the oxygen concentration index Zb in the currently set time period; S2-205: extract the temperature value of the region at each time point in the current set time period, calculate the average of the temperature values ​​at each time point, and obtain the temperature average value of the region corresponding to the current set time period; take the highest and lowest values ​​of the temperature values ​​at each time point, calculate the difference between the two and take the absolute value, and obtain the temperature difference value of the region corresponding to the current set time period; Set the maximum allowable temperature value and normal temperature difference of the area; The maximum allowable temperature value and the normal temperature difference are based on the current time point; The temperature mean and temperature difference in the current set time period are calculated by ratio with the maximum allowable temperature value and the normal temperature difference, that is, the average ratio index and the temperature difference index are obtained by temperature mean / maximum allowable temperature value and temperature difference / normal temperature difference; the average ratio index and the temperature difference index in the current set time are summed and used as the side length of the square, thereby constructing a square and calculating the area value of the constructed square, and the calculated area value is used as the temperature evaluation index in the current set time period, recorded as Zc; The fire warning assessment index α of the region corresponding to the current set time period is obtained, specifically: The extraction area corresponds to the abnormal concentration index Za, oxygen concentration index Zb and temperature evaluation index Zc within the current set time period, according to the formula Perform weighted calculation on the abnormal concentration index Za, oxygen concentration index Zb and temperature assessment index Zc in the current set time period corresponding to the region to obtain the fire warning assessment index α in the current set time period; where m1, m2 and m3 are the influence weight factors of the abnormal concentration index Za, oxygen concentration index Zb and temperature assessment index Zc respectively; Trigger the alarm in the monitoring room and execute the corresponding steps, specifically: S4-401: First, retrieve the surveillance video clips in the area corresponding to the current set time period, and display them on the display screen in the monitoring room, and at the same time extract the fire warning evaluation index α obtained in the current set time period and integrate it into the surveillance video clips in the current set time period; S4-402: While retrieving the surveillance video clip, determine whether there is any human activity in the current surveillance room through the camera in the surveillance room. If the judgment result is that there is no human activity, the surveillance room is used as the center of the location circle to obtain the managers who are within the working range at the current time point, and send a location acquisition signal to the mobile terminal of each manager. After each manager confirms the location acquisition signal, the location of each manager at the current time point is obtained, and the manager with the closest distance is selected to send an alarm signal; S4-403: while executing steps S4-401 and S4-402, use a thermal imaging camera (121) to scan electrical equipment and lines in the area, capture thermal images, identify abnormal points from the captured thermal images; and record specific locations corresponding to the abnormal points, and after recording is completed, integrate them into the current monitoring video clip; S4-404: The manager searches for the reason why the warning signal was triggered in the area. After confirming the reason, the manager records the event. If the search for the reason does not find any abnormality, the fire warning evaluation index α within the next set time period is analyzed again through step S3. If the warning signal is not triggered, the event is marked as a false alarm event. If the early warning signal is triggered again, similar historical events are extracted from historical events, and the retrieval results of similar historical events are obtained and sent to the mobile terminal of the manager in the current monitoring room. The manager will check the area again based on the retrieval results of similar historical events. If the check fails, the remaining personnel in the area will be immediately organized and evacuated, and the manager with the largest experience evaluation value Jyt will be selected to go to the area for a comprehensive check; S4-405: extract the total number of historical inspections and processing and the working years from the work log of each manager, and obtain the distance between each manager and the area at the current time point, and mark the distance and working years of each manager as nh1 and nh2 respectively; The number of successful troubleshooting is obtained from the total number of historical troubleshooting processes of each manager, and the number of successful troubleshooting is marked as nh3. At the same time, the time taken by each manager for each successful troubleshooting is obtained. The time taken starts from the time when the manager is selected and ends when the troubleshooting is completed. The assessment time is preset. If the time taken for a successful troubleshooting is less than the preset assessment time, the successful troubleshooting is marked as a high-efficiency troubleshooting. The number of high-efficiency troubleshootings of each manager is counted as the number of efficient troubleshootings of each manager, and recorded as nh4. According to the formula Perform weighted calculation on the distance nh1, working years nh2, number of successful inspections nh3 and number of efficiency inspections nh4 of each manager at the current time point; v1, v2, v3 and v4 are the influencing weight factors of the distance nh1, working years nh2, number of successful inspections nh3 and number of efficiency inspections nh4 respectively; The monitoring time interval set in step S2 is optimized and adjusted, specifically: Based on each group of fire warning assessment index α, an index change line graph of the region is constructed. Based on the time sequence of each group of fire warning assessment index α, the numerical points corresponding to each group of fire warning assessment index α in the line graph are drawn, and adjacent numerical points are connected to obtain index lines. The slopes of each index line and the angles with the horizontal line are calculated. If the angle between a certain index line and the horizontal line is an obtuse angle, the slope of the index line is marked as a descending slope. If the angle between a certain index line and the horizontal line is an acute angle, the slope of the index line is marked as an ascending slope. All ascending slopes are summed to obtain the total ascending value. All descending slopes are taken as absolute values ​​and summed to obtain the total descending value. The ratio between the total ascending value and the total descending value is calculated to obtain the stable valuation Pe. Mark the highest and lowest numerical points in the line graph, construct a vertical line between them, and calculate the length of the vertical line to obtain the stable difference Pg; Substitute the obtained stable estimate Pe and stable difference Pg into the formula The risk assessment index Ku is obtained by weighted calculation; y1 and y2 are the influence weight factors of the stable estimate Pe and the stable difference Pg respectively; Preset the value ranges of each index of the risk assessment index Ku, set each index value range to correspond to an interval duration additional value, match the currently calculated risk assessment index Ku with the preset value ranges of each index, and obtain the interval duration additional value; add the obtained interval duration additional value to the monitoring time interval set in step S2, and use the accumulated value as the adjusted monitoring time interval in step S2.

2. A data acquisition device for a weak current system, applied to a data acquisition method for a weak current system as claimed in claim 1, characterized in that: It includes a sensor unit, a thermal imaging camera unit, a wireless communication unit, a data processing unit, an early warning unit, a data storage device, a video monitoring unit, and a power supply unit; The sensor unit includes a smoke detector (115), a gas concentration sensor (203) and a temperature sensor (309), and is used to collect abnormal concentration parameters, oxygen concentration parameters and temperature parameters in the area; The thermal imaging camera unit is specifically a thermal imaging camera (121) for capturing thermal images of electrical equipment and lines and identifying hot spots; The wireless communication unit transmits data to the data processing unit using Wi-Fi technology; The data processing unit executes data analysis and early warning algorithms to process the collected data: The early warning unit includes an alarm and a display device for sounding an alarm when an abnormal situation is detected, and for displaying real-time data; The data storage device includes a solid-state hard disk for recording the data and time of the above analysis; The video monitoring unit is specifically a camera, which is used to provide real-time video monitoring and is integrated with the early warning unit; The gas collecting mechanism (1) is used to cooperate with the smoke detector (115) to monitor abnormal concentration parameters, and cooperate with the thermal imaging camera (121) to capture thermal images of electrical equipment and lines, identify hot spots, and install a wireless communication unit and a power supply unit; The gas guide mechanism (2) is used to cooperate with the gas concentration sensor (203) to monitor oxygen concentration parameters; An extension mechanism (3) is used to extend the gas collection monitoring range and cooperate with the temperature sensor (309) to monitor the temperature parameters; as well as The power supply unit is used to provide power for the entire data acquisition device.

3. A data acquisition device for a weak current system according to claim 2, characterized in that: The gas collecting mechanism (1) comprises a base (101), a top frame (113), a mounting seat (114), a sealing frame (105) and a rotating frame (119); the top frame (113) is arranged on the top of the base (101) in a communication manner; the mounting seat (114) is fixedly connected to the top of the top frame (113); the smoke detector (115) is arranged on the bottom of the mounting seat (114); a mounting box (116) is fixedly connected between opposite outer surfaces on both sides of the mounting seat (114); the sealing frame (105) is inserted into the base (101); the rotating frame (119) is rotatably connected to the bottom of the sealing frame (105); and the thermal imaging camera (121) is rotatably connected between opposite inner walls on both sides of the rotating frame (119); The gas guide mechanism (2) comprises a gas guide ring (201) and a gas guide tube (202); the gas guide ring (201) is slidably sleeved on the outer surface of the rotating frame (119), and the interior of the gas guide ring (201) is connected to the interior of the rotating frame (119); the gas guide tube (202) is communicatively arranged on the outer surface of one side of the gas guide ring (201), and one end of the gas guide tube (202) is communicated with the interior of the top frame (113); and the gas concentration sensor (203) is arranged on the gas guide tube (202); The extension mechanism (3) comprises an extension frame (301) and an elastic extension tube (304); a movable threaded rod (302) is rotatably connected between the opposite outer surfaces of both sides of the extension frame (301); the outer surface of the movable threaded rod (302) is threadedly connected to a movable frame (308); the elastic extension tube (304) is connected and arranged on the outer surface of one side of the extension frame (301); three air inlets are equidistantly provided on the inner bottom surface of the extension frame (301); and the temperature sensor (309) is arranged on the movable frame (308).

4. The data acquisition device for a weak current system according to claim 3, characterized in that: The gas collecting mechanism (1) further comprises a gas collecting component, an adjusting component and a mixing component, wherein the gas collecting component is arranged on the base (101), the adjusting component is arranged on the rotating frame (119), and the mixing component is arranged on the sealing frame (105); The air guide mechanism (2) further comprises a driving component, wherein the driving component is arranged on the air guide pipe (202); The extension mechanism (3) further comprises an adjustment component, wherein the adjustment component is arranged on the extension frame (301).

5. A data acquisition system for a weak current system, applied to the data acquisition method for a weak current system as claimed in claim 1, characterized in that: include: Data acquisition module: collects abnormal concentration parameters, oxygen concentration parameters and temperature parameters in the regional air within a set time period; Data transmission module: transmits the collected data to the data analysis module through a wireless network; Data analysis module: Analyzes the abnormal concentration parameters, oxygen concentration parameters and temperature parameters within the set time period, obtains the abnormal concentration index Za, oxygen concentration index Zb and temperature evaluation index Zc in the area corresponding to the current set time period, and sends them to the early warning processing module; Early warning processing module: comprehensively analyze the abnormal concentration index Za, oxygen concentration index Zb and temperature assessment index Zc in the area within the current set time period to obtain the fire early warning assessment index α of the area corresponding to the current set time period; set the threshold index of the fire early warning assessment index α corresponding to the area, if the fire early warning assessment index α within a certain set time period exceeds the set threshold index, trigger the early warning signal and execute step S4, otherwise execute step S5; A communication connection is established between the data acquisition module and the sensor unit, a communication connection is established between the data transmission module and the wireless communication unit, a communication connection is established between the data analysis module and the data processing unit, and a communication connection is established between the early warning processing module and the early warning unit, the thermal imaging unit and the video monitoring unit.

Images