CN116978202A - Method and system for improving electrical fire monitoring accuracy - Google Patents
Method and system for improving electrical fire monitoring accuracy Download PDFInfo
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Abstract
The invention discloses a method and a system for improving the accuracy of electric fire monitoring, wherein the method comprises a noise suppression step, a delay confirmation step, a model discrimination step, an extension self-checking step and an artificial intelligent inspection step, wherein an inspection check-in key is arranged on a detector, if inspection personnel are identified to press the inspection check-in key, an alarm part and an alarm value are displayed immediately, and check-in information and monitoring data during check-in are sent to a monitoring equipment host; and meanwhile, receiving processing result information fed back by a reset function on the detector, acquiring a result of processing faults or alarms by a patrol personnel, and if the faults or alarms are identified to be processed, confirming that the alarms are eliminated, so as to ensure that the fault processing forms a closed loop. According to the invention, by sequentially sending the restarting instruction to the alarm and the fault item of the display interface, the detector which is still an alarm or a fault after restarting can prompt the staff to perform the field inspection immediately, so that the monitoring accuracy is improved.
Description
Technical Field
The invention relates to the technical field of intelligent fire monitoring, and particularly discloses a method and a system for improving the accuracy of electric fire monitoring.
Background
The electric fire monitoring system is a fire-fighting electronic product defined by the national standard system GB14287, and the standard definition is as follows: when the detected parameter in the protected line exceeds the alarm set value, the system capable of sending out alarm signal and control signal and indicating the alarm position consists of electric fire monitoring equipment (not necessary) and electric fire monitoring detector.
When abnormal conditions occur in the residual current, temperature, current and other data indexes of the protected circuit and the electrical equipment, the sensor of the electrical fire monitoring system collects index change information through the electromagnetic induction principle and the temperature change effect and transmits the index change information to a signal processing unit (signal processing unit) in the electrical fire monitoring system, after the steps of filtering, amplifying, A/D conversion, analysis, judgment, comparison and the like, once the key data index exceeds a preset value, an alarm signal is immediately triggered, and meanwhile, the key data index is transmitted to the monitoring equipment of the electrical fire monitoring system, and then secondary identification and judgment are carried out through the monitoring equipment. The related staff can go to the equipment fault abnormal site for maintenance and inspection according to the display information at the first time, and meanwhile, the fire alarm information is transmitted to the central control room. In addition, the electric fire monitoring system also has a communication networking function, and can transmit the detected related fire information to a monitoring system at a higher layer, so that a monitoring center at the higher layer can obtain fire alarm information. However, the current mainstream electrical fire monitoring systems at home and abroad have the problems of too high report missing rate and false report rate, which increase the burden of staff and reduce the applicability of the system.
Therefore, the existing electrical fire monitoring system has too high alarm missing rate and false alarm rate, increases the burden of staff, greatly reduces the applicability of the system and is a technical problem to be solved urgently at present.
Disclosure of Invention
The invention provides a method and a system for improving the accuracy of electric fire monitoring, which aim to solve the problems of missing report and over-high false alarm rate of the existing electric fire monitoring system, increase the burden of staff and reduce the applicability of the system.
One aspect of the invention relates to a method for improving the accuracy of electric fire monitoring, which is applied to an electric fire intelligent monitoring device, wherein the electric fire intelligent monitoring device comprises a detector and a monitoring equipment host connected with the detector, and the method for improving the accuracy of electric fire monitoring comprises the following steps:
noise suppression: receiving monitoring data collected by a detector in an interval period, performing statistical analysis on a plurality of pieces of monitoring data collected by the detector in a set first time to form a Gaussian distributed monitoring data array, and settingRemoving a plurality of pieces of monitoring data with the largest quantity offset value; the rest pieces of monitoring data are weighted and averaged to obtain a measurement value K of the set time n ；
And (3) delay confirmation: buffering the weighted average monitoring data, comparing the buffered monitoring data with a fire monitoring threshold preset in a database in a set second time, alarming if the buffered monitoring data continuously exceeds the fire monitoring threshold, and sending the monitoring data and alarm information to a monitoring equipment host;
model discrimination: establishing a big data model and an alarm data model library, comparing the collected alarm information with the big data model in characteristic values, namely, cross-comparing the measured value at the current T moment with the value at the same time T at the last time, the measured value at the current T-1 moment and the value at the same time T of the similar environment, and simultaneously comparing the cross-comparison result with threshold data of the alarm data model library, if the cross-comparison result accords with variance estimation, alarming, and if the cross-comparison result exceeds variance, turning to the next step;
and (5) self-checking of the extension: receiving a reset instruction sent by a monitoring equipment host, confirming whether a fault or an alarm still exists, and if the fault or the alarm still exists, turning to the next step;
artificial intelligence inspection: setting a patrol button on the detector, displaying an alarm part and an alarm value in real time if the patrol button is identified to be pressed by a patrol person, and sending check-in information and monitoring data during check-in to a monitoring equipment host; and meanwhile, receiving processing result information fed back by a reset function on the detector, acquiring a result of processing faults or alarms by a patrol personnel, and if the faults or alarms are identified to be processed, confirming that the alarms are eliminated, so as to ensure that the fault processing forms a closed loop.
Further, in the step of delay confirmation, the fire monitoring threshold includes a temperature alarm threshold TT, a corresponding table of environmental temperature and temperature alarm threshold is preset in the database, and a corresponding relation among the phase line temperature TL of the power distribution cabinet, the environmental temperature level TP and the temperature alarm threshold TT is mapped in the corresponding table of environmental temperature and temperature alarm threshold.
Further, the step of delaying the confirmation includes:
receiving the ambient temperature of the primary distribution box collected by each detector in a set time interval;
comparing the current collected environmental temperature of the primary distribution box of each detector with the last collected environmental temperature and the last set temperature alarm threshold TT, acquiring a corresponding environmental temperature grade TP according to an environmental temperature and temperature alarm threshold correspondence table, and if the current environmental temperature grade TP does not change, not changing the temperature threshold of the detector; if the current environmental temperature level TP changes, a temperature threshold adjustment instruction is sent to each detector according to a threshold corresponding to the new environmental temperature level TP;
and controlling each detector to normally operate, and starting alarm if the phase line temperature detected by each detector exceeds the adjusted temperature threshold TT.
Further, in the step of delay confirmation, the fire alarm threshold includes a residual current alarm threshold TC, a table corresponding to the load and the residual current alarm threshold is preset in the database, and a corresponding relation among the load type ET, a coefficient RL of the residual current relative to the load current and the residual current alarm threshold TC is mapped in the table corresponding to the load and the residual current alarm threshold.
Further, the step of delaying the confirmation includes:
receiving load current and residual current of a power distribution cabinet detected by each detector in a set time interval;
comparing the current detected load current value of each detector with the last recorded load current value, acquiring a corresponding residual current alarm threshold value adjustment coefficient RL according to a corresponding table of load current and residual current alarm threshold values, adjusting a residual current alarm threshold value TC of the corresponding detector according to the corresponding residual current alarm threshold value adjustment coefficient RL, and sending a current threshold value adjustment command to the extension machine if the current detected load current value deviates from the amplitude range of the last recorded load current value;
and controlling each detector to normally operate, and starting an alarm if the residual current of the power distribution cabinet, which is acquired by each detector recently, is recognized to exceed the adjusted residual current alarm threshold TC.
Another aspect of the present invention relates to a system for improving accuracy of electrical fire monitoring, which is applied to an electrical fire intelligent monitoring device, the electrical fire intelligent monitoring device includes a detector and a monitoring equipment host connected with the detector, the system for improving accuracy of electrical fire monitoring includes:
the noise suppression module is used for receiving the monitoring data collected by the detector in the interval time period, carrying out statistical analysis on a plurality of pieces of monitoring data collected by the detector in the set first time to form Gaussian distributed monitoring data arrangement, and eliminating a plurality of pieces of monitoring data with the largest set quantity of offset values; the rest pieces of monitoring data are weighted and averaged to obtain a measurement value K of the set time n ；
The delay confirmation module is used for buffering the weighted average monitoring data, comparing the buffered monitoring data with a fire monitoring threshold preset in the database in a set second time, alarming if the buffered monitoring data continuously exceeds the fire monitoring threshold, and sending the monitoring data and alarm information to the monitoring equipment host;
the model judging module is used for establishing a big data model and an alarm data model library, comparing the collected alarm information with the big data model in characteristic value, namely, cross-comparing the measured value at the current T moment with the value at the same time T at the last time, the measured value at the current T-1 moment and the value at the same time T of the similar environment, and simultaneously comparing the measured value with the threshold value data of the alarm data model library, alarming if the variance estimation is met, and turning to the next step if the variance is exceeded;
The extension self-checking module is used for receiving a reset instruction sent by the monitoring equipment host, confirming whether a fault or an alarm still exists, and if the fault or the alarm still exists, turning to the next step;
the artificial intelligent inspection module is used for setting an inspection sign-on key on the detector, displaying an alarm part and an alarm value in real time if an inspection person is identified to press the inspection sign-on key, and sending sign-on information and monitoring data during sign-on to the monitoring equipment host; and meanwhile, receiving processing result information fed back by a reset function on the detector, acquiring a result of processing faults or alarms by a patrol personnel, and if the faults or alarms are identified to be processed, confirming that the alarms are eliminated, so as to ensure that the fault processing forms a closed loop.
Further, in the delay confirmation module, a corresponding table of the ambient temperature and the temperature alarm threshold value is preset in the database, and the corresponding table of the ambient temperature and the temperature alarm threshold value is mapped with a corresponding relation among the phase line temperature TL of the power distribution cabinet, the ambient temperature grade TP and the temperature alarm threshold value TT.
Further, the delay confirmation module includes:
the first receiving unit is used for receiving the ambient temperature of the primary distribution box collected by each detector in a set time interval;
The first adjusting unit is used for comparing the current collected environmental temperature of the primary distribution box of each detector with the last collected environmental temperature and the last set temperature alarm threshold TT, acquiring a corresponding environmental temperature grade TP according to the corresponding table of the environmental temperature and the temperature alarm threshold, and not changing the temperature threshold of the detector if the current environmental temperature grade TP is unchanged; if the current environmental temperature level TP changes, a temperature threshold adjustment instruction is sent to each detector according to a threshold corresponding to the new environmental temperature level TP;
the first alarm unit is used for controlling each detector to normally operate, and if the last detected phase line temperature of each detector is identified to exceed the adjusted temperature threshold TT, the alarm is started.
Further, in the delay confirmation module, the fire alarm threshold includes a residual current alarm threshold TC, a corresponding table of load and residual current alarm threshold is preset in the database, and a corresponding relation among the load type ET, a coefficient RL of residual current relative to load current and the residual current alarm threshold TC is mapped in the corresponding table of load and residual current alarm threshold.
Further, the delay confirmation module includes:
The second receiving unit is used for receiving the load current and the residual current of the power distribution cabinet detected by each detector in a set time interval;
the second adjusting unit is used for comparing the current detected load current value of each detector with the last recorded load current value, acquiring a corresponding residual current alarm threshold value adjusting coefficient RL according to a corresponding table of load current and residual current alarm threshold values, adjusting the residual current alarm threshold value TC of the corresponding detector according to the corresponding residual current alarm threshold value adjusting coefficient RL, and sending a current threshold value adjusting command to the extension machine if the current detected load current value deviates from the amplitude range of the last recorded load current value;
and the second alarm unit is used for controlling each detector to normally operate, and if the residual current of the power distribution cabinet which is acquired by each detector most recently exceeds the adjusted residual current alarm threshold TC, the alarm is started.
The beneficial effects obtained by the invention are as follows:
the invention provides a method and a system for improving the accuracy of electric fire monitoring, which are characterized in that the noise is suppressed: receiving monitoring data acquired by a detector in an interval period, performing statistical analysis on a plurality of pieces of monitoring data acquired by the detector in a set first time to form Gaussian distributed monitoring data arrangement, and eliminating a plurality of pieces of monitoring data with the largest set quantity offset value; carrying out weighted average calculation on the rest pieces of monitoring data to obtain a measured value Kn of the set time; and (3) delay confirmation: buffering the weighted average monitoring data, comparing the buffered monitoring data with a fire monitoring threshold preset in a database in a set second time, alarming if the buffered monitoring data continuously exceeds the fire monitoring threshold, and sending the monitoring data and alarm information to a monitoring equipment host; model discrimination: establishing a big data model and an alarm data model library, comparing the collected alarm information with the big data model in characteristic values, namely, cross-comparing the measured value at the current T moment with the value at the same time T at the last time, the measured value at the current T-1 moment and the value at the same time T of the similar environment, and simultaneously comparing the cross-comparison result with threshold data of the alarm data model library, if the cross-comparison result accords with variance estimation, alarming, and if the cross-comparison result exceeds variance, turning to the next step; and (5) self-checking of the extension: receiving a reset instruction sent by a monitoring equipment host, confirming whether a fault or an alarm still exists, and if the fault or the alarm still exists, turning to the next step; artificial intelligence inspection: setting a patrol button on the detector, displaying an alarm part and an alarm value in real time if the patrol button is identified to be pressed by a patrol person, and sending check-in information and monitoring data during check-in to a monitoring equipment host; and meanwhile, receiving processing result information fed back by a reset function on the detector, acquiring a result of processing faults or alarms by a patrol personnel, and if the faults or alarms are identified to be processed, confirming that the alarms are eliminated, so as to ensure that the fault processing forms a closed loop. The invention provides a method and a system for improving the accuracy rate of electric fire monitoring, wherein a display interface comprises equipment state, alarm information, fault information of an online detector, sign-in information and the like in normal operation; the intelligent alarm information processing and inspection function is designed, automatic inspection is mainly carried out on alarm information and fault information reported by an online detector, and an alarm and fault item of a display interface is sequentially sent by a restarting instruction, and after restarting, the intelligent alarm information processing and inspection function is still realized by the detector which is still an alarm or fault, so that personnel can be immediately arranged for carrying out field inspection, and the monitoring accuracy is further improved; the false alarm and missing alarm condition processing mode of the alarm information is that if the detector is in an unstable condition in the recent continuous working state, the system sends out an instruction to restart the alarm detector, after the instruction is issued, the detector executes restarting operation, self-checking is completed when the detector is started, if the fault exists in a sensor signal source of the detector, the detector is marked as the fault, and the processing flow is repair reporting; if the detector is in a normal state in the recent continuous working state, finishing restarting after issuing a restarting instruction and still being in an alarm state, sending an alarm to remind an operator on duty to go to the installation position of the detector immediately for checking, and manually releasing the alarm state after the fire hidden danger is processed; the fault information is processed in such a way that after a restarting instruction is issued through automatic inspection, the detector is still in a fault reporting state, and a worker is arranged to go to maintenance; aiming at the fault of the off-line detector, under the condition that a restarting instruction cannot be transmitted to a place, personnel are directly arranged to the installation place of the detector for fault detection; after maintenance or fault investigation is completed, the system considers the detector to be in a normal state after the self-detection normal work is completed by a self-detection button on the detector.
Drawings
FIG. 1 is a schematic flow chart of an embodiment of a method for improving accuracy of electrical fire monitoring according to the present invention;
FIG. 2 is a detailed flow chart of a first embodiment of the delay verification step shown in FIG. 1;
FIG. 3 is a detailed flow chart of a first embodiment of the delay verification step shown in FIG. 1;
FIG. 4 is a functional block diagram of an embodiment of a system for improving accuracy of electrical fire monitoring provided by the present invention;
FIG. 5 is a functional block diagram of a first embodiment of the delay confirmation module shown in FIG. 4;
fig. 6 is a functional block diagram of a second embodiment of the delay confirmation module shown in fig. 4.
Reference numerals illustrate:
10. a noise suppression module; 20. a delay confirmation module; 30. a model discrimination module; 40. an extension self-checking module; 50. an artificial intelligent inspection module; 21. a first receiving unit; 22. a first adjusting unit; 23. a first alarm unit; 24. a second receiving unit; 25. a second adjusting unit; 26. and a second alarm unit.
Detailed Description
In order to better understand the above technical solutions, the following detailed description will be given with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1 and 2, a first embodiment of the present invention provides a method for improving accuracy of electric fire monitoring, which is applied to an electric fire intelligent monitoring device, wherein the electric fire intelligent monitoring device includes a detector and a monitoring device host connected with the detector, the detector is provided with a temperature sensor and a current transformer, and the method for improving accuracy of electric fire monitoring includes the following steps:
step S100, noise suppression: receiving monitoring data acquired by a detector in an interval period, performing statistical analysis on a plurality of pieces of monitoring data acquired by the detector in a set first time to form Gaussian distributed monitoring data arrangement, and eliminating a plurality of pieces of monitoring data with the largest set quantity offset value; the rest pieces of monitoring data are weighted and averaged to obtain a measurement value K of the set time n 。
The detector can collect monitoring data (the monitoring data can be residual current, temperature and the like) once every 20ms, namely 50 pieces of monitoring data can be collected every second, 10 pieces of data (namely data noise) with the largest offset value are removed through Gaussian distributed monitoring data arrangement, the rest 40 pieces of data are subjected to weighted average calculation, a measured value Kn of the second is obtained, and the specific calculation method of the measured value Kn is as follows: buffering the collected 50 monitoring data into a datacollection [1..50] array; the 50 monitoring data are stored in the DataOrder [1..50] in sequence; kn is obtained by calculating Sum (DataOrder [5..45 ])/40.
Step S200, delay confirmation: buffering the weighted average monitoring data, comparing the buffered monitoring data with a fire monitoring threshold preset in a database in a set second time, alarming if the buffered monitoring data continuously exceeds the fire monitoring threshold, and sending the monitoring data and alarm information to a monitoring equipment host.
The monitoring data are buffered, the detector collects the monitoring data K1, K2 and K3 for 3 seconds, if the monitoring data continuously exceeds a threshold value, the alarm is given, and the monitoring data and alarm information are sent to the monitoring equipment host.
Step S300, model discrimination: and establishing a big data model and an alarm data model library, comparing the collected alarm information with the big data model in characteristic value, namely, cross-comparing the measured value at the current T moment with the value at the same time T at the last time, the measured value at the current T-1 moment and the value at the same time T of the similar environment, and simultaneously comparing the cross-comparison result with threshold data of the alarm data model library, and if the cross-comparison result accords with the variance estimation, giving an alarm and going to the next step if the cross-comparison result exceeds the variance.
And establishing a big data model and an alarm data model base. After the monitoring equipment host collects the alarm information, the monitoring equipment host performs characteristic value comparison with a big data model, namely, the measured value at the moment T is crossly compared with the value at the same moment T yesterday, the measured value at the moment T-1 today and the value at the same moment T of the similar environment, and meanwhile, the monitoring equipment host performs comparison with the data of an alarm data model base, if the data accords with variance estimation, the alarm is given, and if the data exceeds variance, the next step is performed, and the method is specifically as follows:
(1) Assume that the measured values at the same moment of today T, the same moment of yesterday T, the same moment of today T-1 and the same moment of the same kind of environment are Kt, kd-1, kt-1 and Ks respectively;
(2) and (3) respectively using Kd-1, kt-1 and Ks to calculate the difference with Kt, and if the difference/Kt is less than 20%, judging that the variance is consistent, predicting and immediately alarming, otherwise, turning to the next step for further judgment.
Step S400, self-checking by the extension machine: and receiving a reset instruction sent by the monitoring equipment host, confirming whether the fault or the alarm still exists, and if the fault or the alarm still exists, turning to the next step.
The monitoring equipment host sends a reset instruction to the detector, the detector confirms whether the fault or the alarm still exists, and if the alarm still exists, the next step is carried out.
Step S500, artificial intelligence inspection: setting a patrol sign-on key on the detector, if the patrol personnel is identified to press the patrol sign-on key, immediately displaying an alarm part and an alarm value, and sending sign-in information and monitoring data during sign-in to a monitoring equipment host; and meanwhile, receiving processing result information fed back by a reset function on the detector, acquiring a result of processing faults or alarms by a patrol personnel, and if the faults or alarms are identified to be processed, confirming that the alarms are eliminated, so as to ensure that the fault processing forms a closed loop.
And a patrol sign-on key is designed on the detector, a patrol inspector presses the patrol sign-on key, the detector immediately displays an alarm part and an alarm value, the detector sends sign-on information and monitoring data during sign-on to a monitoring equipment host, and the reliability and the authenticity of an alarm are ensured by combining system patrol. Meanwhile, the patrol personnel processes the faults or alarms, and after the faults or alarms are processed, the reset button of the detector is pressed to confirm that the alarms are eliminated, so that the fault processing is ensured to form a closed loop.
The method for improving the electrical fire monitoring accuracy provided by the embodiment adopts a noise suppression step, a delay confirmation step, a model discrimination step, an extension self-checking step and an artificial intelligent inspection step. According to the method for improving the electrical fire monitoring accuracy, the display interface comprises equipment state, alarm information, fault information of the online detector, sign-in information and the like in normal operation; the intelligent alarm information processing and inspection function is designed, automatic inspection is mainly carried out on alarm information and fault information reported by an online detector, and an alarm and fault item of a display interface is sequentially sent by a restarting instruction, and after restarting, the intelligent alarm information processing and inspection function is still realized by the detector which is still an alarm or fault, so that personnel can be immediately arranged for carrying out field inspection, and the monitoring accuracy is further improved; the false alarm and missing alarm condition processing mode of the alarm information is that if the detector is in an unstable condition in the recent continuous working state, the system sends out an instruction to restart the alarm detector, after the instruction is issued, the detector executes restarting operation, self-checking is completed when the detector is started, if the fault exists in a sensor signal source of the detector, the detector is marked as the fault, and the processing flow is repair reporting; if the detector is in a normal state in the recent continuous working state, finishing restarting after issuing a restarting instruction and still being in an alarm state, sending an alarm to remind an operator on duty to go to the installation position of the detector immediately for checking, and manually releasing the alarm state after the fire hidden danger is processed; the fault information is processed in such a way that after a restarting instruction is issued through automatic inspection, the detector is still in a fault reporting state, and a worker is arranged to go to maintenance; aiming at the fault of the off-line detector, under the condition that a restarting instruction cannot be transmitted to a place, personnel are directly arranged to the installation place of the detector for fault detection; after maintenance or fault investigation is completed, the system considers the detector to be in a normal state after the self-detection normal work is completed by a self-detection button on the detector.
Further, please refer to fig. 2, fig. 2 is a detailed flow chart of the first embodiment of step S200 shown in fig. 1, in this embodiment, step S200 includes:
step S210, the ambient temperature of the primary distribution box collected by each detector in a set time interval is received.
Each detector sends the current detected ambient temperature of the primary distribution box to the monitoring equipment host every 10 minutes.
Step S220, comparing the current collected environmental temperature of the primary distribution box of each detector with the last collected environmental temperature and the last set temperature alarm threshold TT, and obtaining a corresponding environmental temperature grade TP according to a corresponding table of the environmental temperature and the temperature alarm threshold, wherein if the current environmental temperature grade TP is unchanged, the temperature threshold of the detector is not changed; if the current environmental temperature level TP changes, a temperature threshold adjustment instruction is sent to each detector according to the threshold corresponding to the new environmental temperature level TP.
The monitoring equipment host compares the current collected ambient temperature of the primary distribution box of each detector with the last collected ambient temperature and the last set temperature alarm threshold TT in the fire alarm threshold, in this embodiment, the fire alarm threshold comprises the temperature alarm threshold TT, a corresponding table of ambient temperature and temperature alarm threshold is preset in the database, and the corresponding relation between the phase line temperature TL of the distribution cabinet, the ambient temperature grade TP and the temperature alarm threshold TT is mapped in the corresponding table of ambient temperature and temperature alarm threshold. The monitoring equipment host acquires a corresponding environment temperature grade TP according to the environment temperature and temperature alarm threshold corresponding table, and if the current environment temperature grade TP is identified to be unchanged, the temperature threshold of the detector is not changed; if the current environment temperature level TP is identified to be changed, a temperature threshold adjustment instruction is sent to each detector according to the threshold corresponding to the new environment temperature level TP. And each detector adjusts the temperature threshold TT according to the temperature threshold adjusting instruction. The table of the correspondence between the ambient temperature and the temperature alarm threshold is shown in table 1.
TABLE 1
And step S230, controlling each detector to normally operate, and starting an alarm if the phase line temperature detected by each detector exceeds the adjusted temperature threshold TT.
And the monitoring equipment host controls each detector to normally operate, and if the latest detected phase line temperature of each detector is identified to exceed the adjusted temperature threshold TT, audible and visual alarm is started.
Compared with the prior art, the method for improving the accuracy of electric fire monitoring provided by the embodiment has the advantages that the ambient temperature of the primary distribution box collected by each detector in a set time interval is received; comparing the current collected environmental temperature of the primary distribution box of each detector with the last collected environmental temperature and the last set temperature alarm threshold TT, acquiring a corresponding environmental temperature grade TP according to a corresponding table of the environmental temperature and the temperature alarm threshold, and if the current environmental temperature grade TP does not change, not changing the temperature threshold of the detector; if the current environmental temperature level TP changes, a temperature threshold adjustment instruction is sent to each detector according to a threshold corresponding to the new environmental temperature level TP; and controlling each detector to normally operate, and starting alarm if the phase line temperature detected by each detector exceeds the adjusted temperature threshold TT. The method for improving the electrical fire monitoring accuracy rate greatly reduces the false alarm rate and the missing report rate of electrical fire prediction and improves the monitoring accuracy rate.
Preferably, referring to fig. 3, fig. 3 is a schematic diagram of a refinement flow of a second embodiment of step S200 shown in fig. 1, in this embodiment, step S200 includes:
and step S240, receiving the load current and the residual current of the power distribution cabinet detected by each detector in a set time interval.
The current transformer sends the currently detected load current and residual current of the power distribution cabinet to the host computer every 10 minutes.
Step S250, comparing the currently detected load current value of each detector with the last recorded load current value, obtaining a corresponding residual current alarm threshold adjustment coefficient RL according to a table corresponding to the load current and residual current alarm threshold, adjusting the residual current alarm threshold TC of the corresponding detector according to the corresponding residual current alarm threshold adjustment coefficient RL, and sending a current threshold adjustment command to the extension set if the currently detected load current value deviates from the amplitude range of the last recorded load current value.
The monitoring equipment host compares the current value of the load detected by the current transformer with the last recorded value of the load current, in this embodiment, the fire alarm threshold includes a residual current alarm threshold TC, a corresponding table of the load and the residual current alarm threshold is preset in the database, and the corresponding table of the load and the residual current alarm threshold is mapped with a corresponding relation between the load type ET, a coefficient RL of the residual current relative to the load current and the residual current alarm threshold TC. The monitoring equipment host acquires a corresponding residual current alarm threshold value adjusting coefficient RL according to a corresponding table of the load current and the residual current alarm threshold value, adjusts the residual current alarm threshold value TC of the corresponding detector according to the corresponding residual current alarm threshold value adjusting coefficient RL, and sends a current threshold value adjusting command to each detector if the current detected load current value deviates from the amplitude range of the last recorded load current value. And each detector adjusts the residual current alarm threshold TC according to the current threshold adjustment command, namely TC=CE×RL×3 and intercepts according to min and max of 300mA-1000 mA. Wherein, the load and residual current alarm threshold value corresponding table is shown in table 2.
TABLE 2
| Sequence number | Load type ET | Coefficient RL of natural residual current to load current |
| 1 | General power supply | 1.0％ |
| 2 | General lighting power supply | 2.5％ |
| 3 | Mechanical room | 2.0％ |
| 4 | Comprehensive control room | 1.0％ |
| 5 | Information machine room | 0.5％ |
And step S260, controlling each detector to normally operate, and starting an alarm if the residual current of the power distribution cabinet which is acquired by each detector most recently exceeds the adjusted residual current alarm threshold TC.
And the monitoring equipment host controls each detector to normally operate, and if the current transformer is identified that the latest collected residual current of the power distribution cabinet exceeds the adjusted residual current alarm threshold value of 50mA, an alarm is started.
Compared with the prior art, the method for improving the accuracy of electric fire monitoring provided by the embodiment has the advantages that the load current of the power distribution cabinet detected by each detector in a set time interval is received; comparing the current detected load current value of each detector with the last recorded load current value, acquiring a corresponding residual current alarm threshold value adjustment coefficient RL according to a corresponding table of load and residual current alarm threshold values, adjusting the residual current alarm threshold value TC of the corresponding detector according to the corresponding residual current alarm threshold value adjustment coefficient RL, and sending a current threshold value adjustment command to the extension machine if the current detected load current value deviates from the amplitude range of the last recorded load current value; and controlling each detector to normally operate, and starting an alarm if the residual current of the power distribution cabinet, which is acquired by each detector recently, is recognized to exceed the adjusted residual current alarm threshold TC. The method for improving the electrical fire monitoring accuracy rate greatly reduces the false alarm rate and the missing report rate of electrical fire prediction and improves the monitoring accuracy rate.
As shown in fig. 4, fig. 4 is a functional block diagram of an embodiment of a system for improving accuracy of electric fire monitoring provided by the present invention, where in this embodiment, the system for improving accuracy of electric fire monitoring includes a noise suppression module 10, a delay confirmation module 20, a model discrimination module 30, an extension self-checking module 40, and an artificial intelligent patrol module 50, where the noise suppression module 10 is configured to receive monitoring data collected by a detector in an interval period, perform statistical analysis on a plurality of monitoring data collected by the detector in a set first time to form a gaussian distributed monitoring data arrangement, and reject a plurality of monitoring data with a maximum set number of offset values; the rest pieces of monitoring data are weighted and averaged to obtain a measurement value K of the set time n The method comprises the steps of carrying out a first treatment on the surface of the The delay confirmation module 20 is configured to buffer the weighted average monitoring data, compare the buffered monitoring data with a fire monitoring threshold preset in the database in a set second time, alarm if the buffered monitoring data continuously exceeds the fire monitoring threshold, and send the monitoring data and alarm information to the monitoring equipment host; the model discriminating module 30 is configured to establish a big data model and an alarm data model library, compare the collected alarm information with the big data model, i.e. cross-compare the measured value at the current time T with the value at the same time T last time, the measured value at the current time T-1, and the value at the same time T of the similar environment, and compare the cross-compare the measured value with the threshold data of the alarm data model library, if the cross-comparison meets the variance estimation, alarm, and if the cross-comparison exceeds the variance, go to the next step; dividing into The machine self-checking module 40 is configured to receive a reset instruction sent by the monitoring device host, confirm whether a fault or an alarm still exists, and if the alarm still exists, go to the next step; the artificial intelligent patrol module 50 is used for setting a patrol button on the detector, displaying an alarm part and an alarm value immediately if the patrol personnel are identified to press the patrol button, and sending check-in information and monitoring data during check-in to the monitoring equipment host; and meanwhile, receiving processing result information fed back by a reset function on the detector, acquiring a result of processing faults or alarms by a patrol personnel, and if the faults or alarms are identified to be processed, confirming that the alarms are eliminated, so as to ensure that the fault processing forms a closed loop.
The noise suppression module 10 collects monitoring data (the monitoring data can be residual current, temperature and the like) once every 20ms through the detector, namely 50 pieces of monitoring data can be collected every second, 10 pieces of data (namely data noise) with the largest offset value are removed through forming Gaussian distributed monitoring data arrangement, and the rest 40 pieces of data are subjected to weighted average calculation to obtain a measured value Kn of the second, wherein the specific calculation method of the measured value Kn is as follows: buffering the collected 50 monitoring data into a datacollection [1..50] array; the 50 monitoring data are stored in the DataOrder [1..50] in sequence; kn is obtained by calculating Sum (DataOrder [5..45 ])/40.
The delay confirmation module 20 buffers the monitoring data, the detector collects the monitoring data K1, K2 and K3 for 3 seconds, and if the monitoring data exceeds the threshold value, the alarm is given, and the monitoring data and the alarm information are sent to the monitoring equipment host.
The model discrimination module 30 builds a big data model and an alarm data model base. After the monitoring equipment host collects the alarm information, the monitoring equipment host performs characteristic value comparison with a big data model, namely, the measured value at the moment T is crossly compared with the value at the same moment T yesterday, the measured value at the moment T-1 today and the value at the same moment T of the similar environment, and meanwhile, the monitoring equipment host performs comparison with the data of an alarm data model base, if the data accords with variance estimation, the alarm is given, and if the data exceeds variance, the next step is performed, and the method is specifically as follows:
(1) assume that the measured values at the same moment of today T, the same moment of yesterday T, the same moment of today T-1 and the same moment of the same kind of environment are Kt, kd-1, kt-1 and Ks respectively;
(2) and (3) respectively using Kd-1, kt-1 and Ks to calculate the difference with Kt, and if the difference/Kt is less than 20%, judging that the variance is consistent, predicting and immediately alarming, otherwise, turning to the next step for further judgment.
The extension self-checking module 40 sends a reset instruction to the detector, which confirms whether a fault or alarm still exists, and if so, proceeds to the next step.
The artificial intelligent patrol module 50 designs a patrol button on the detector, the patrol personnel presses the patrol button, the detector immediately displays the alarm part and the alarm value, the detector sends the check-in information and the monitoring data during check-in to the monitoring equipment host computer, and the reliability and the authenticity of the alarm are ensured by combining system patrol. Meanwhile, the patrol personnel processes the faults or alarms, and after the faults or alarms are processed, the reset button of the detector is pressed to confirm that the alarms are eliminated, so that the fault processing is ensured to form a closed loop.
The system for improving the accuracy of electric fire monitoring provided by the embodiment adopts a noise suppression module 10, a delay confirmation module 20, a model discrimination module 30, an extension self-checking module 40 and an artificial intelligent patrol module 50. The system for improving the electrical fire monitoring accuracy provided by the embodiment has the advantages that the display interface comprises equipment state, alarm information, fault information of the online detector, sign-in information and the like in normal operation; the intelligent alarm information processing and inspection function is designed, automatic inspection is mainly carried out on alarm information and fault information reported by an online detector, and an alarm and fault item of a display interface is sequentially sent by a restarting instruction, and after restarting, the intelligent alarm information processing and inspection function is still realized by the detector which is still an alarm or fault, so that personnel can be immediately arranged for carrying out field inspection, and the monitoring accuracy is further improved; the false alarm and missing alarm condition processing mode of the alarm information is that if the detector is in an unstable condition in the recent continuous working state, the system sends out an instruction to restart the alarm detector, after the instruction is issued, the detector executes restarting operation, self-checking is completed when the detector is started, if the fault exists in a sensor signal source of the detector, the detector is marked as the fault, and the processing flow is repair reporting; if the detector is in a normal state in the recent continuous working state, finishing restarting after issuing a restarting instruction and still being in an alarm state, sending an alarm to remind an operator on duty to go to the installation position of the detector immediately for checking, and manually releasing the alarm state after the fire hidden danger is processed; the fault information is processed in such a way that after a restarting instruction is issued through automatic inspection, the detector is still in a fault reporting state, and a worker is arranged to go to maintenance; aiming at the fault of the off-line detector, under the condition that a restarting instruction cannot be transmitted to a place, personnel are directly arranged to the installation place of the detector for fault detection; after maintenance or fault investigation is completed, the system considers the detector to be in a normal state after the self-detection normal work is completed by a self-detection button on the detector.
Further, please refer to fig. 5, fig. 5 is a functional block diagram of a first embodiment of the delay confirmation module shown in fig. 4, in which the delay confirmation module 20 includes a first receiving unit 21, a first adjusting unit 22 and a first alarm unit 23, wherein the first receiving unit 21 is configured to receive an ambient temperature of a primary distribution box collected by each detector in a set time interval; the first adjusting unit 22 is configured to compare the current collected environmental temperature of the primary distribution box with the last collected environmental temperature and the last set temperature alarm threshold TT of each detector, obtain a corresponding environmental temperature level TP according to the environmental temperature and temperature alarm threshold correspondence table, and if the current environmental temperature level TP does not change, not change the temperature threshold of the detector; if the current environmental temperature level TP changes, a temperature threshold adjustment instruction is sent to each detector according to a threshold corresponding to the new environmental temperature level TP; the first alarm unit 23 is configured to control each detector to operate normally, and if it is identified that the phase line temperature detected by each detector exceeds the adjusted temperature threshold TT, then an alarm is started.
The first receiving unit 21 transmits the currently detected ambient temperature of the primary distribution box to the monitoring device host at intervals of 10 minutes using the respective detectors.
The first adjusting unit 22 compares the current collected ambient temperature of the primary distribution box with the last collected ambient temperature of each detector and the last set temperature alarm threshold TT in the fire alarm threshold, in this embodiment, the fire alarm threshold includes a temperature alarm threshold TT, a table corresponding to the ambient temperature and the temperature alarm threshold is preset in the database, and a correspondence relationship between the phase line temperature TL of the distribution cabinet, the ambient temperature level TP and the temperature alarm threshold TT is mapped in the table corresponding to the ambient temperature and the temperature alarm threshold. The monitoring equipment host acquires a corresponding environment temperature grade TP according to the environment temperature and temperature alarm threshold corresponding table, and if the current environment temperature grade TP is identified to be unchanged, the temperature threshold of the detector is not changed; if the current environment temperature level TP is identified to be changed, a temperature threshold adjustment instruction is sent to each detector according to the threshold corresponding to the new environment temperature level TP. And each detector adjusts the temperature threshold TT according to the temperature threshold adjusting instruction. The corresponding table of the ambient temperature and the temperature alarm threshold is shown in table 3.
TABLE 3 Table 3
The first alarm unit 23 controls the normal operation of each detector, and if it is recognized that the phase line temperature newly detected by each detector exceeds the adjusted temperature threshold TT, an audible and visual alarm is started.
Compared with the prior art, the system for improving the accuracy of electric fire monitoring provided by the embodiment adopts the first receiving unit 21, the first adjusting unit 22 and the first alarm unit 23, and the environmental temperature of the primary distribution box collected by each detector in a set time interval is received; comparing the current collected environmental temperature of the primary distribution box of each detector with the last collected environmental temperature and the last set temperature alarm threshold TT, acquiring a corresponding environmental temperature grade TP according to a corresponding table of the environmental temperature and the temperature alarm threshold, and if the current environmental temperature grade TP does not change, not changing the temperature threshold of the detector; if the current environmental temperature level TP changes, a temperature threshold adjustment instruction is sent to each detector according to a threshold corresponding to the new environmental temperature level TP; and controlling each detector to normally operate, and starting alarm if the phase line temperature detected by each detector exceeds the adjusted temperature threshold TT. The system for improving the electrical fire monitoring accuracy rate greatly reduces the false alarm rate and the missing report rate of electrical fire prediction and improves the monitoring accuracy rate.
Further, in the delay confirmation module 20, the fire alarm threshold includes a residual current alarm threshold TC, a table corresponding to the load and the residual current alarm threshold is preset in the database, and a corresponding relationship between the load type ET, a coefficient RL of the residual current relative to the load current and the residual current alarm threshold TC is mapped in the table corresponding to the load and the residual current alarm threshold.
Preferably, referring to fig. 6, fig. 6 is a schematic functional block diagram of a second embodiment of the delay confirmation module shown in fig. 4, in which the delay confirmation module 20 includes a second receiving unit 24, a second adjusting unit 25, and a second alarm unit 26, where the second receiving unit 24 is configured to receive a load current and a residual current of the power distribution cabinet detected by each detector in a set time interval; a second adjusting unit 25, configured to compare the currently detected load current value of each detector with the last recorded load current value, obtain a corresponding residual current alarm threshold adjustment coefficient RL according to a table corresponding to the load and residual current alarm threshold, adjust the residual current alarm threshold TC of the corresponding detector according to the corresponding residual current alarm threshold adjustment coefficient RL, and send a current threshold adjustment command to the extension if the currently detected load current value deviates from the amplitude range of the last recorded load current value; and the second alarm unit 26 is used for controlling the detectors to operate normally, and if the residual current of the power distribution cabinet which is acquired by the detectors last time exceeds the adjusted residual current alarm threshold TC, an alarm is started.
The second receiving unit 24 transmits the currently detected load current and the residual current of the power distribution cabinet to the host computer once every 10 minutes using the current transformer.
The second adjusting unit 25 compares the currently detected load current value of the current transformer with the last recorded load current value, in this embodiment, the fire alarm threshold includes a residual current alarm threshold TC, a table corresponding to the load and residual current alarm threshold is preset in the database, and a correspondence between the load type ET, a coefficient RL of residual current relative to load current and the residual current alarm threshold TC is mapped in the table corresponding to the load and residual current alarm threshold. The monitoring equipment host acquires a corresponding residual current alarm threshold value adjusting coefficient RL according to the load and residual current alarm threshold value corresponding table, adjusts a residual current alarm threshold value TC of a corresponding detector according to the corresponding residual current alarm threshold value adjusting coefficient RL, and sends a current threshold value adjusting command to each detector if the current detected load current value deviates from the amplitude range of the last recorded load current value. And each detector adjusts the residual current alarm threshold TC according to the current threshold adjustment command, namely TC=CE×RL×3 and intercepts according to min and max of 300mA-1000 mA. The table of the correspondence between the load and the residual current alarm threshold is shown in table 4.
TABLE 4 Table 4
| Sequence number | Load type ET | Coefficient RL of natural residual current to load current |
| 1 | General power supply | 1.0％ |
| 2 | General lighting power supply | 2.5％ |
| 3 | Mechanical room | 2.0％ |
| 4 | Comprehensive control room | 1.0％ |
| 5 | Information machine room | 0.5％ |
The second alarm unit 26 controls the detectors to operate normally, and if the current transformer is identified that the latest collected residual current of the power distribution cabinet exceeds the adjusted residual current alarm threshold value, an alarm is started.
Compared with the prior art, the system for improving the accuracy of electric fire monitoring provided by the embodiment adopts the second receiving unit 24, the second adjusting unit 25 and the second alarm unit 26, and the load current and the residual current of the power distribution cabinet detected by each detector in a set time interval are received; comparing the current detected load current value of each detector with the last recorded load current value, acquiring a corresponding residual current alarm threshold value adjustment coefficient RL according to a corresponding table of load and residual current alarm threshold values, adjusting the residual current alarm threshold value TC of the corresponding detector according to the corresponding residual current alarm threshold value adjustment coefficient RL, and sending a current threshold value adjustment command to the extension machine if the current detected load current value deviates from the amplitude range of the last recorded load current value; and controlling each detector to normally operate, and starting an alarm if the residual current of the power distribution cabinet, which is acquired by each detector recently, is recognized to exceed the adjusted residual current alarm threshold TC. The system for improving the electrical fire monitoring accuracy rate greatly reduces the false alarm rate and the missing report rate of electrical fire prediction and improves the monitoring accuracy rate.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention. It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. The method for improving the electrical fire monitoring accuracy is applied to an electrical fire intelligent monitoring device, and the electrical fire intelligent monitoring device comprises a detector and a monitoring equipment host connected with the detector, and is characterized by comprising the following steps of:
noise suppression: receiving monitoring data acquired by a detector in an interval period, performing statistical analysis on a plurality of pieces of monitoring data acquired by the detector in a set first time to form Gaussian distributed monitoring data arrangement, and eliminating a plurality of pieces of monitoring data with the largest set quantity offset value; the rest pieces of monitoring data are weighted and averaged to obtain a measurement value K of the set time n ；
And (3) delay confirmation: buffering the weighted average monitoring data, comparing the buffered monitoring data with a fire monitoring threshold preset in a database in a set second time, alarming if the buffered monitoring data continuously exceeds the fire monitoring threshold, and sending the monitoring data and alarm information to the monitoring equipment host;
model discrimination: establishing a big data model and an alarm data model base, comparing the collected alarm information with the big data model in characteristic value, namely, cross-comparing the measured value at the current T moment with the value at the same time T of the last time, the measured value at the current T-1 moment and the value at the same time T of the similar environment, and simultaneously comparing the measured value with threshold data of the alarm data model base, if the measured value meets the variance estimation, alarming, and if the measured value exceeds the variance, turning to the next step;
and (5) self-checking of the extension: receiving a reset instruction sent by the monitoring equipment host, confirming whether a fault or an alarm still exists, and if the alarm still exists, turning to the next step;
artificial intelligence inspection: setting a patrol button on the detector, displaying an alarm part and an alarm value in real time if the patrol button is identified to be pressed by a patrol person, and sending sign-in information and monitoring data during sign-in to the monitoring equipment host; and meanwhile, receiving processing result information fed back by a reset function on the detector, acquiring a result of processing faults or alarms by a patrol personnel, and if the faults or alarms are identified to be processed, confirming that the alarms are eliminated, so as to ensure that the fault processing forms a closed loop.
2. The method for improving accuracy of electrical fire monitoring according to claim 1, wherein in the step of time-lapse confirmation, the electrical fire monitoring threshold includes a temperature alarm threshold TT, a table of correspondence between ambient temperature and temperature alarm threshold is preset in the database, and a correspondence between a power distribution cabinet phase line temperature TL, an ambient temperature level TP and the temperature alarm threshold TT is mapped in the table of correspondence between ambient temperature and temperature alarm threshold.
3. The electrical fire monitoring threshold dynamic processing method based on big data according to claim 2, wherein the step of delay confirmation includes:
receiving the ambient temperature of the primary distribution box collected by each detector in a set time interval;
comparing the current collected environmental temperature of the primary distribution box of each detector with the last collected environmental temperature and the last set temperature alarm threshold TT, acquiring a corresponding environmental temperature grade TP according to a corresponding table of the environmental temperature and the temperature alarm threshold, and if the current environmental temperature grade TP does not change, not changing the temperature threshold of the detector; if the current environmental temperature level TP changes, a temperature threshold value adjusting instruction is sent to a corresponding detector according to a threshold value corresponding to the new environmental temperature level TP;
And controlling each detector to normally operate, and starting alarm if the phase line temperature detected by each detector exceeds the adjusted temperature threshold TT.
4. The method for improving accuracy of electrical fire monitoring according to claim 1, wherein in the step of delay confirmation, the fire alarm threshold includes a residual current alarm threshold TC, a table of correspondence between load current and residual current alarm threshold is preset in the database, and a correspondence between load type ET, a coefficient RL of residual current to load current and the residual current alarm threshold TC is mapped in the table of correspondence between load current and residual current alarm threshold.
5. The method of improving electrical fire monitoring accuracy of claim 4, wherein the step of time-delay confirmation comprises:
receiving load current and residual current of a power distribution cabinet detected by each detector in a set time interval;
comparing the current detected load current value of each detector with the last recorded load current value, acquiring a corresponding residual current alarm threshold value adjustment coefficient RL according to a corresponding table of load current and residual current alarm threshold values, adjusting a residual current alarm threshold value TC of the corresponding detector according to the corresponding residual current alarm threshold value adjustment coefficient RL, and sending a residual current alarm threshold value adjustment command to the extension machine if the current detected load current value deviates from the amplitude range of the last recorded load current value;
And controlling each detector to normally operate, and starting an alarm if the residual current of the power distribution cabinet, which is acquired by each detector recently, is recognized to exceed the adjusted residual current alarm threshold TC.
6. The utility model provides a system for improve electric fire and monitor rate of accuracy, is applied to among the electric fire intelligent monitoring device, electric fire intelligent monitoring device include the detector and with the supervisory equipment host computer that the detector is connected, its characterized in that, the system of improvement electric fire monitors rate of accuracy includes:
the noise suppression module (10) is used for receiving the monitoring data acquired by the detector in the interval time period, carrying out statistical analysis on a plurality of pieces of monitoring data acquired by the detector in the set first time to form Gaussian distributed monitoring data arrangement, and eliminating a plurality of pieces of monitoring data with the largest set quantity of offset values; the rest pieces of monitoring data are weighted and averaged to obtain a measurement value K of the set time n ；
The delay confirmation module (20) is used for buffering the weighted average monitoring data, comparing the buffered monitoring data with a fire monitoring threshold preset in a database in a set second time, alarming if the buffered monitoring data continuously exceeds the fire monitoring threshold, and sending the monitoring data and alarm information to the monitoring equipment host;
The model judging module (30) is used for establishing a big data model and an alarm data model library, comparing the collected alarm information with the big data model in characteristic value, namely, cross-comparing the measured value of the current T moment with the value of the same moment T, the measured value of the current T-1 moment and the value of the same moment T of the similar environment, and simultaneously comparing the measured value of the current T moment with the threshold value data of the alarm data model library, if the measured value of the current T moment and the value of the same moment T accord with the variance estimation, alarming, and turning to the next step if the variance is exceeded;
the extension self-checking module (40) is used for receiving a reset instruction sent by the monitoring equipment host, confirming whether a fault or an alarm still exists, and if the alarm still exists, proceeding to the next step;
the artificial intelligent patrol module (50) is used for setting a patrol button on the detector, displaying an alarm part and an alarm value in real time if the patrol personnel are identified to press the patrol button, and sending sign-in information and monitoring data during sign-in to the monitoring equipment host; and meanwhile, receiving processing result information fed back by a reset function on the detector, acquiring a result of processing faults or alarms by a patrol personnel, and if the faults or alarms are identified to be processed, confirming that the alarms are eliminated, so as to ensure that the fault processing forms a closed loop.
7. The system for improving accuracy of electrical fire monitoring according to claim 6, wherein in the delay confirmation module (20), a table of correspondence between ambient temperature and temperature alarm threshold is preset in the database, and a correspondence between a power distribution cabinet phase line temperature TL, an ambient temperature level TP and the temperature alarm threshold TT is mapped in the table of correspondence between ambient temperature and temperature alarm threshold.
8. The system for improving accuracy of electrical fire monitoring of claim 7, wherein the delay confirmation module (20) comprises:
the first receiving unit (21) is used for receiving the ambient temperature and the phase line temperature of the primary distribution box acquired by each detector in a set time interval;
the first adjusting unit (22) is used for comparing the current collected ambient temperature of the primary distribution box of each detector with the last collected ambient temperature and the last set temperature alarm threshold TT, acquiring a corresponding ambient temperature grade TP according to the ambient temperature and temperature alarm threshold correspondence table, and not changing the temperature threshold of the detector if the current ambient temperature grade TP is unchanged; if the current environmental temperature level TP changes, a temperature threshold adjustment instruction is sent to each detector according to a threshold corresponding to the new environmental temperature level TP;
And the first alarm unit (23) is used for controlling each detector to normally operate, and if the last detected phase line temperature of each detector is identified to exceed the adjusted temperature threshold TT, the alarm is started.
9. The system for improving accuracy of electrical fire monitoring according to claim 6, wherein the fire alarm threshold value comprises a residual current alarm threshold value TC in the delay confirmation module (20), and a load and residual current alarm threshold value correspondence table is preset in the database, and a corresponding relation among a load type ET, a coefficient RL of residual current relative load current and the residual current alarm threshold value TC is mapped in the load and residual current alarm threshold value correspondence table.
10. The system for improving accuracy of electrical fire monitoring of claim 9, wherein the delay confirmation module (20) comprises:
a second receiving unit (24) for receiving the load current and the residual current of the power distribution cabinet detected by each detector in a set time interval;
a second adjusting unit (25) for comparing the current detected load current value of each detector with the last recorded load current value, obtaining a corresponding residual current alarm threshold adjustment coefficient RL according to a corresponding table of load and residual current alarm threshold, adjusting the residual current alarm threshold TC of the corresponding detector according to the corresponding residual current alarm threshold adjustment coefficient RL, and sending a current threshold adjustment command to the extension machine if the current detected load current value deviates from the amplitude range of the last recorded load current value;
And the second alarm unit (26) is used for controlling each detector to normally operate, and if the residual current of the power distribution cabinet which is acquired by each detector last exceeds the adjusted residual current alarm threshold TC, the alarm is started.
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