CN117037454A - Early warning protection system, control method and device of electrical cabinet, medium and electrical cabinet - Google Patents
Early warning protection system, control method and device of electrical cabinet, medium and electrical cabinet Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000001514 detection method Methods 0.000 claims abstract description 250
- 230000008859 change Effects 0.000 claims abstract description 41
- 230000002159 abnormal effect Effects 0.000 claims abstract description 36
- 238000010438 heat treatment Methods 0.000 claims description 22
- 239000007789 gas Substances 0.000 description 44
- KWOLFJPFCHCOCG-UHFFFAOYSA-N Acetophenone Chemical compound CC(=O)C1=CC=CC=C1 KWOLFJPFCHCOCG-UHFFFAOYSA-N 0.000 description 10
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- 238000012549 training Methods 0.000 description 3
- 238000012369 In process control Methods 0.000 description 2
- 238000010965 in-process control Methods 0.000 description 2
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- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
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- 238000000802 evaporation-induced self-assembly Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
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- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
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- 239000010959 steel Substances 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/06—Electric actuation of the alarm, e.g. using a thermally-operated switch
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/185—Electrical failure alarms
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Abstract
The application relates to the technical field of early warning protection, and provides an early warning protection system, a control method, a device, a medium and an electric cabinet of the electric cabinet. The early warning protection system comprises: the system comprises an acquisition unit, a control unit, a power supply unit and an early warning unit; the control unit is respectively connected with the acquisition unit, the power supply unit and the early warning unit; a control unit for: determining whether detection parameters with abnormal data exist according to the relation between the decision coefficients and the decision coefficient threshold values between the data of any two detection parameters; if the data is abnormal, taking the detection parameters except the detection parameters with abnormal data in the detection parameters as target detection parameters; acquiring a target detection parameter variation trend according to the data of the target detection parameter; and determining whether the electrical cabinet has a risk of fire disaster or not according to the data change trend of the target detection parameters. The method realizes the prior control of the fire risk of the electrical cabinet, and can effectively avoid the occurrence of the fire of the electrical cabinet.
Description
Technical Field
The application relates to the technical field of early warning protection, in particular to an early warning protection system, a control method, a device, a medium and an electric cabinet of the electric cabinet.
Background
The electric cabinet is a cabinet which is formed by processing steel materials and is used for protecting components from working normally. Because the electrical cabinet generally comprises more components and cables, when the internal components are in a working state, the temperature in the electrical cabinet is generally higher, and the electrical cabinet fire is extremely easy to occur.
At present, in order to reduce the loss caused by the fire disaster of the electrical cabinet, an early warning protection system is usually additionally arranged in the electrical cabinet. However, the existing early warning protection system added to the electrical cabinet has the problems that early warning is not timely, the occurrence of electrical cabinet fire disaster cannot be avoided, and fire disaster loss is large.
Disclosure of Invention
The application provides an early warning protection system, a control method, a control device, a medium and an electric cabinet, which are used for solving the problems that the early warning protection system in the existing electric cabinet is not timely in early warning, the occurrence of electric cabinet fire is unavoidable, and the fire loss is large.
In a first aspect, the present application provides an early warning protection system for an electrical cabinet, the early warning protection system comprising: the system comprises an acquisition unit, a control unit, a power supply unit and an early warning unit; the control unit is respectively connected with the acquisition unit, the power supply unit and the early warning unit; the acquisition unit is arranged in the cabinet body of the electrical cabinet;
The acquisition unit is used for acquiring data of detection parameters in the gas holder, and the detection parameters comprise: the temperature of the cable in the electrical cabinet, the current of the cable, and the target gas content generated by heating the cable;
the control unit is used for:
acquiring a decision coefficient between data of any two detection parameters;
determining whether detection parameters with abnormal data exist according to the relation between the decision coefficients and the decision coefficient threshold values between the data of any two detection parameters;
if the data is abnormal, taking the detection parameters except the detection parameters with abnormal data in the detection parameters as target detection parameters;
acquiring the change trend of the target detection parameter according to the data of the target detection parameter; the target detection parameters are part or all of the detection parameters;
and determining whether the electrical cabinet has a risk of fire disaster or not according to the data change trend of the target detection parameters, and controlling the early warning unit to output fire disaster early warning prompt information when the risk exists.
Optionally, the control unit is specifically configured to:
determining whether predicted data exceeding a corresponding data threshold value exists in a future preset time length of the target detection parameters according to the data change trend of each target detection parameter;
And if at least one target detection parameter has prediction data exceeding a corresponding data threshold value, determining that the electrical cabinet has a fire risk.
Optionally, the early warning protection system further includes: a switching unit; the switch unit is arranged on a main power supply circuit of the electric cabinet;
the control unit is further configured to:
and if the duration of the risk of fire occurrence of the electrical cabinet exceeds a preset time threshold and/or the predicted data of the target detection parameter exceeds a safety protection threshold, controlling the switch unit to disconnect the path of the main power supply circuit of the electrical cabinet.
Optionally, the acquisition unit includes: a target gas content detection device, a plurality of temperature detection devices, and a plurality of current detection devices;
the plurality of temperature detection devices are used for collecting temperature data of the main circuit cable and at least one branch circuit cable of the electrical cabinet;
the plurality of current detection devices are used for collecting current data of the main circuit cable and at least one branch circuit cable of the electrical cabinet.
In a second aspect, the present application provides a method for controlling an electrical cabinet, the method comprising:
acquiring a decision coefficient between data of any two detection parameters;
Determining whether detection parameters with abnormal data exist according to the relation between the decision coefficients and the decision coefficient threshold values between the data of any two detection parameters;
if the data is abnormal, taking the detection parameters except the detection parameters with abnormal data in the detection parameters as target detection parameters;
acquiring data of the target detection parameters in the electrical cabinet, wherein the target detection parameters are part or all of the detection parameters in the electrical cabinet, and the detection parameters comprise: the temperature of the cable in the electrical cabinet, the current of the cable, and the target gas content generated by heating the cable;
acquiring the change trend of the target detection parameter according to the data of the target detection parameter;
and determining whether the electrical cabinet has a risk of fire disaster or not according to the data change trend of the target detection parameters, and controlling the early warning unit to output fire disaster early warning prompt information when the risk exists.
In a third aspect, the present application provides an electrical cabinet control device, the device comprising:
the first acquisition module is used for acquiring a decision coefficient between the data of any two detection parameters;
the first determining module is used for determining whether the detection parameters with abnormal data exist according to the relation between the decision coefficients and the decision coefficient threshold values between the data of any two detection parameters; if the data is abnormal, taking the detection parameters except the detection parameters with abnormal data in the detection parameters as target detection parameters;
The second acquisition module is used for acquiring data of the target detection parameters in the electrical cabinet, wherein the target detection parameters are part or all of the detection parameters in the electrical cabinet, and the detection parameters comprise: the temperature of the cable in the electrical cabinet, the current of the cable, and the target gas content generated by heating the cable;
the third acquisition module is used for acquiring the change trend of the target detection parameter according to the data of the target detection parameter;
and the second determining module is used for determining whether the electrical cabinet has a risk of fire disaster or not according to the data change trend of the target detection parameter, and controlling the early warning unit to output fire disaster early warning prompt information when the risk exists.
In a fourth aspect, the present application provides a computer-readable storage medium having stored therein computer-executable instructions, which when executed by a processor, are for implementing the electrical cabinet control method according to the second aspect.
In a fifth aspect, the present application provides an electrical cabinet comprising: an early warning protection system; the early warning protection system comprises: the system comprises an acquisition unit, a control unit, a power supply unit and an early warning unit; the control unit is respectively connected with the acquisition unit, the power supply unit and the early warning unit; the acquisition unit is arranged in the cabinet body of the electrical cabinet;
The acquisition unit is used for acquiring data of detection parameters in the gas holder, and the detection parameters comprise: the temperature of the cable in the electrical cabinet, the current of the cable, and the target gas content generated by heating the cable;
the control unit is configured to execute the electrical cabinet control method according to the second aspect.
In a sixth aspect, the application provides a computer program product comprising a computer program which, when executed by a processor, implements the method according to the second aspect.
The application provides an early warning protection system, a control method, a device, a medium and an electric cabinet of the electric cabinet, wherein the early warning protection system of the electric cabinet comprises: the system comprises an acquisition unit, a control unit, a power supply unit and an early warning unit. The acquisition unit is used for acquiring data of detection parameters in the gas holder, and the detection parameters comprise: the temperature of the cable in the electrical cabinet, the current of the cable, and the target gas content generated by the heating of the cable. The control unit obtains a decision coefficient between the data of any two detection parameters; determining whether detection parameters with abnormal data exist according to the relation between the decision coefficients and the decision coefficient threshold values between the data of any two detection parameters; if the data is abnormal, taking the detection parameters except the detection parameters with abnormal data in the detection parameters as target detection parameters; after the target detection parameters are acquired, the change trend of the target detection parameters can be acquired according to the data of the target detection parameters; and then, determining whether the electrical cabinet has a risk of fire disaster according to the data change trend of the target detection parameters, and controlling the early warning unit to output fire disaster early warning prompt information when the risk exists. The early warning protection system of the electrical cabinet can realize accurate early warning on whether the electrical cabinet has fire risks according to the change trend of the target detection parameters in the electrical cabinet, and can realize the advanced control on the fire risks of the electrical cabinet. By the mode, the occurrence of the fire disaster of the electrical cabinet can be avoided, and further the loss caused by the fire disaster of the electrical cabinet is reduced.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
Fig. 1 is a schematic diagram of an architecture of an early warning protection system 100 of a first electrical cabinet according to the present application;
fig. 2 is a schematic diagram of an architecture of an early warning protection system 100 of a second electrical cabinet according to the present application;
fig. 3 is a schematic flow chart of a first electrical cabinet control method provided by the application;
fig. 4 is a schematic flow chart of a second electrical cabinet control method provided by the application;
fig. 5 is a schematic structural diagram of an electrical cabinet control device provided by the application;
fig. 6 is a schematic structural diagram of an electronic device 110 according to the present application.
Specific embodiments of the present application have been shown by way of the above drawings and will be described in more detail below. The drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but rather to illustrate the inventive concepts to those skilled in the art by reference to the specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with aspects of the application as detailed in the accompanying claims.
Noun interpretation:
the decision coefficient (Coefficient of Determination), also called R square, is an index for measuring the fitting degree of the regression model to the data. The value range is between 0 and 1, and the ratio of all variations of the dependent variable to independent variable interpretation through regression relation is expressed. For example, if the decision coefficient is 0.8, the regression relationship may be expressed to account for the 80% variance of the dependent variable. In other words, if we can control the independent variable to be unchanged, the variation degree of the dependent variable is reduced by 80%.
Time sequence: is a set of data arranged at certain time intervals, and the time intervals can be any time unit, such as hours, days, weeks, months, etc. For example, the data collected by the collection device (e.g., sensor, etc.) at regular time intervals may form a time series.
At present, the loss caused by the fire disaster of the electrical cabinet is generally reduced by additionally installing an early warning protection system. The existing early warning protection system is generally used for early warning fire after the fire occurs in the electrical cabinet, and then extinguishing the fire in a mode of isolating oxygen or reducing temperature. The mode for protecting the electrical cabinet belongs to in-process control, and can avoid the expansion of fire risks, but cannot avoid the occurrence of risks, and can still cause small loss.
There are some prior art methods for detecting whether a fire has occurred in an electrical cabinet by thermal imaging. However, the method is also in-process control, and early warning can be performed only after the fire disaster occurs in the electrical cabinet, so that the timeliness is poor. In addition, in addition to the problems, the method needs to be monitored by adopting a thermal imager, so that the cost is high, the operation is complex, the requirement on maintenance personnel is high, the labor cost is high, and the detection control logic is long.
The inventor considers that if the risk of fire occurrence of the electrical cabinet can be predicted before the fire occurrence, and whether the early warning is performed can be judged according to the prediction result, the prior control of the risk of fire occurrence of the electrical cabinet can be realized, and further the occurrence of fire is effectively avoided, and the loss is avoided.
In view of the above, the application provides an early warning protection system for an electrical cabinet, which can generate a corresponding detection parameter change trend according to data of target detection parameters in the electrical cabinet, further predict whether the electrical cabinet has a risk of fire according to the change trend, and perform early warning prompt when the electrical cabinet has the risk, so as to realize the prior control of the risk of fire of the electrical cabinet, predict whether the electrical cabinet has the risk of fire in time, avoid the occurrence of fire of the electrical cabinet, and reduce electrical cabinet loss caused by fire.
The following describes the technical scheme of the present application and how the technical scheme of the present application solves the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 1 is a schematic architecture diagram of an early warning protection system 100 of a first electrical cabinet according to the present application, as shown in fig. 1, the early warning protection system 100 includes: the system comprises an acquisition unit 1, a control unit 2, a power supply unit 3 and an early warning unit 4.
The connection relationship between each unit in the early warning protection system 100 is as follows:
the control unit 2 is respectively connected with the acquisition unit 1, the power supply unit 3 and the early warning unit 4; wherein, the acquisition unit 1 is arranged in the cabinet body of the electric cabinet.
It should be appreciated that the present application is not limited to the specific configuration of other circuit structures within the electrical cabinet, other than the pre-alarm protection system 100. The control unit 2 may be a chip, such as a micro control unit (Microcontroller Unit, MCU) or the like.
The power supply unit 3 is used for supplying power to the control unit 2. The power supply unit 3 may be powered by an external power supply or by a battery, and the present application is not limited thereto. The present application does not limit the power supply voltage value specifically output by the power supply unit 3, and is specifically related to the use requirement of the control unit 2 connected thereto. When the power supply unit 3 supplies power through an external power supply, the input and output power supplies are not limited, and for example, the specification of the input power supply may be ac 220V 50hz, and the specification of the output power supply may be dc 24V.
When the power supply unit 3 supplies power in a mode of an external power supply, a first end of the power supply unit 3 can be connected with a second end of the external power supply, and the second end can be connected with the second end of the external power supply; the third terminal is connected to the first terminal of the control unit 2 and the fourth terminal is connected to the second terminal of the control unit 2.
In this case, the present application is not limited to the specific circuit configuration of the power supply unit 3. Fig. 2 is a schematic structural diagram of an early warning protection system 100 of a second electrical cabinet according to the present application, as shown in fig. 2, for example, the power unit 3 may further include an air circuit breaker 31 and a switching power supply 32. The first end of the air circuit breaker 31 is the first end of the power supply unit 3, the second end of the air circuit breaker is the second end of the power supply unit 3, the third end of the air circuit breaker is connected with the first end of the switching power supply 32, and the fourth end of the air circuit breaker is connected with the second end of the switching power supply 32; the third terminal of the switching power supply 32 is the third terminal of the power supply unit 3, and the fourth terminal is the fourth terminal of the power supply unit 3.
The switching power supply 32 is also referred to herein as a switched mode power supply (Switch Mode Power Supply, SMPS), a switched mode power supply, a switching converter. The magnitude of the voltage value output by the switching power supply 32 to the control unit 2 is not limited by the present application, and is specifically related to the power supply requirement of the control unit 2.
The collecting unit 1 is configured to collect data of detection parameters in a gas holder, where the detection parameters include: the temperature of the cable in the electrical cabinet, the current of the cable, and the target gas content generated by the heating of the cable. The application is not limited to the type of target gas generated by heating the cable, and is particularly related to the type of cable. By way of example, if acetophenone is included in the cable, which upon heating releases acetophenone gas, the target gas may be, for example, acetophenone gas.
For example, the acquisition unit 1 may acquire data of detection parameters in the gas holder by using a device integrated with functions of acquiring detection parameters such as temperature of the cable, current of the cable, and content of target gas generated by heating the cable; alternatively, with continued reference to fig. 2 (fig. 2 is a schematic diagram taking as an example that the acquisition unit 1 includes 2 temperature detecting devices 12,2 current detecting devices 13,1 target gas content detecting device 11), the acquisition unit 1 may include the target gas content detecting device 11, the temperature detecting device 12, the current detecting device 13. The acquisition unit 1 can detect the content of target gas generated by heating the cable through the target gas content detection device 11 respectively; detecting the temperature of the cable with the temperature detecting device 12; the current of the cable is detected by a current detection means 13.
The temperature detection device 12 may be, for example, a thermocouple. The present application is not limited to the specific type of the thermocouple, and may be, for example, a solder joint type K-type thermocouple. The current detection device 13 may be, for example, a metering type current transformer. In this case, the metering current transformer is connected to the cable to be detected, acquires the current of the cable to be detected, converts the current value, and transmits the converted current value to the control unit 2. After obtaining the current signal converted by the metering type current transformer, the control unit 2 can determine the current value of the cable to be detected according to the current signal. The constitution of the above-described target gas content detecting device 11 is related to the type of target gas. For example, if the target gas is acetophenone gas, the target gas content detection device 11 may be any device that may be placed in an electrical cabinet in the prior art and may be used to detect the acetophenone gas content.
The present application does not limit the number of target gas content detecting means 11, temperature detecting means 12, current detecting means 13 included in the collecting unit 1. For example, with continued reference to fig. 2, the acquisition unit 1 may include therein, for example, a target gas content detection device 11, a plurality of temperature detection devices 12, and a plurality of current detection devices 13. Wherein a plurality of temperature detection means 12 for acquiring temperature data of the main circuit cable and at least one branch circuit cable of the gas holder; a plurality of current detecting means 13 for collecting current data of the main circuit cable and at least one branch circuit cable of the gas holder.
The early warning unit 4 may include any early warning device that can output sound and/or light early warning prompts under the control of the control unit 2, for example.
On the basis of the early warning protection system 100 of the electrical cabinet, the application provides a control method of the electrical cabinet. The main execution body of the method is the control unit 2. Fig. 3 is a schematic flow chart of a first electrical cabinet control method provided by the present application, as shown in fig. 3, the method may include the following steps:
s101, acquiring data of target detection parameters in the electrical cabinet, wherein the target detection parameters are part or all of the detection parameters in the electrical cabinet.
In this step, the control unit 2 acquires data of the target detection parameter in the electrical cabinet to thereby determine whether the electrical cabinet is at risk of fire.
For example, the control unit 2 may acquire the target detection parameters acquired by the acquisition unit 1 in real time. Specifically, the target detection parameter is a part parameter or all parameters of the detection parameters in the electrical cabinet, and when the target detection parameter is a part parameter, the target detection parameter is specifically which parameters, and the target detection parameter can be set by a person skilled in the art according to actual requirements.
S102, acquiring the change trend of the target detection parameter according to the data of the target detection parameter.
In this step, the control unit 2 obtains the trend of the target detection parameter according to the data of the target detection parameter, so as to predict whether the electrical cabinet has a risk of fire according to the trend of the target detection parameter.
In an implementation manner, the control unit 2 respectively carries out linear fitting on scattered points of the acquisition time corresponding to the data in which the ordinate is the data of each target detection parameter in the preset time period acquired recently aiming at the data acquired by each target detection parameter acquisition device, and fits the scattered points corresponding to each acquisition device into a straight line, so as to obtain the change trend of the target detection parameters acquired by each target detection parameter acquisition device. At this time, the change trend is the slope of a straight line corresponding to the preset duration obtained after linear fitting. The present application is not limited to the specific value of the above-mentioned preset time period, and those skilled in the art can set the value according to actual situations.
The above-mentioned linear fitting method may be, for example, a linear fitting method based on a least square method, and the specific implementation manner may refer to the prior art, which is not described herein. In this case, for example, the target detection parameter variation trend may be calculated by the following formula (1).
（1）
Wherein,for the slope of the straight line corresponding to the preset duration obtained after linear fitting, < >>Is the abscissa of the scatter points within a preset duration, +.>Is the ordinate of the scatter in the preset time period.
In another implementation manner, the control unit 2 obtains the change trend of the target detection parameter by using a change trend prediction model according to the data of the target detection parameter.
The data of the target detection parameter may be time series, and the trend prediction model may be any model that can be predicted based on time series, for example, a transducer network model, a recurrent neural network model (Recurrent Neural Network, RNN), or the like. As an example of the training method of the trend prediction model, the trend corresponding to the data of the history detection parameter may be obtained by training using the data of the history detection parameter as an input and the trend corresponding to the data of the history detection parameter as a label, and the slope of the straight line obtained by linear fitting the data of the history detection parameter may be used. The application does not limit the time span of the data of the history detection parameters input to the model in a single time, and can specifically preset according to actual requirements. On the basis, the application is not limited to a specific training mode of the change trend prediction model.
S103, determining whether the electrical cabinet has a fire risk or not according to the data change trend of the target detection parameters.
In this step, the control unit 2 determines whether the electrical cabinet has a risk of fire according to the data change trend of the target detection parameter, and further determines whether to perform fire early warning prompt accordingly.
In one implementation manner, the control unit 2 judges whether the data change trend of any target detection parameter is greater than a preset change trend threshold corresponding to the target detection parameter, and if yes, determines that the electrical cabinet has a fire risk. The application is not limited to the specific value of the preset change trend threshold, and a person skilled in the art can set the preset change trend threshold according to actual conditions, wherein the preset change trend threshold corresponding to different target monitoring parameters can be the same or different.
In another implementation manner, the control unit 2 may determine, according to the data change trend of each target detection parameter, whether predicted data exceeding the corresponding data threshold exists in the future preset duration of time for the target detection parameter. And if the at least one target detection parameter has the prediction data exceeding the corresponding data threshold value, determining that the electrical cabinet has the risk of fire. The application is not limited to the future preset time length and the specific value of the data threshold, and can be set by a person skilled in the art according to the actual situation. For example, the data threshold may be a data threshold of a target detection parameter corresponding to each detection device, where the current, the temperature, and the gas content of the cable corresponding to each different detection device in the electrical cabinet are obtained after the load carried by the electrical cabinet is operated to the allowable maximum operation power for a certain time.
As described above, the above-described trend of change may be the slope of a straight line obtained after fitting. Therefore, in this step, the control unit may determine, for example, according to the preset duration and the variation trend, prediction data of the target detection parameter within the preset duration by using the undetermined coefficient method, and further determine whether the target detection parameter may have prediction data exceeding the corresponding data threshold within the future preset duration. In this way, the control unit 2 can accurately predict the data in the future preset time according to the change trend of the current target detection data, and judge whether the predicted data exceeding the corresponding data threshold exists in the future preset time, so as to determine whether the electric cabinet is at risk of fire.
If there is a risk of fire, step S104 is performed.
And S104, the control early-warning unit 4 outputs fire early-warning prompt information. In this step, the control unit 2 controls the early warning unit 4 to output fire early warning prompt information, thereby prompting related personnel to take measures to avoid the occurrence of electrical cabinet fire.
The control unit 2 may, for example, output a control signal to the fire early-warning unit 4, which is used to control the fire early-warning unit 4 to output fire early-warning prompt information. The early warning prompt information can be voice prompt information or light prompt information, and can also comprise both voice prompt information and light prompt information, and is specifically related to the type of the early warning unit 4.
In this embodiment, the early warning protection system 100 of the electrical cabinet includes: the system comprises an acquisition unit 1, a control unit 2, a power supply unit 3 and an early warning unit 4. The acquisition unit 1 is used for acquiring data of detection parameters in the gas holder, wherein the detection parameters comprise: the temperature of the cable in the electrical cabinet, the current of the cable, and the target gas content generated by the heating of the cable. After the control unit 2 obtains the target detection parameters, the change trend of the target detection parameters can be obtained according to the data of the target detection parameters; then, according to the data change trend of the target detection parameters, whether the electrical cabinet has a risk of fire disaster or not is determined, and when the risk exists, the control early-warning unit 4 outputs fire disaster early-warning prompt information. The early warning protection system 100 of the electrical cabinet provided by the application can realize accurate early warning on whether the electrical cabinet has a fire risk or not according to the change trend of the target detection parameters in the electrical cabinet, and can realize the advanced control on the fire risk of the electrical cabinet. By the mode, the occurrence of the fire disaster of the electrical cabinet can be avoided, and further the loss caused by the fire disaster of the electrical cabinet is reduced.
Fig. 4 is a schematic flow chart of a second electrical cabinet control method provided by the present application, as shown in fig. 4, optionally, the control unit 2 may further determine whether a detection parameter with abnormal data exists according to the data of each detection parameter in the process of acquiring the data of the target detection parameter in the electrical cabinet; if the data is abnormal, the detection parameters other than the detection parameters of the data abnormality are taken as target detection parameters.
The abnormal detection parameter may be, for example, a detection parameter in which the detection parameter data has a large error due to a missing detection or an abnormality in the detection device.
By the method, abnormal data in the data of each detection parameter can be eliminated, the control unit 2 is prevented from judging whether fire risks exist or not according to the abnormal data of the detection parameters, and then the accuracy of fire early warning judgment of the electrical cabinet is improved.
Regarding the determination of the detection parameters of whether there is a data anomaly, as one possible implementation, the control unit 2 may acquire a decision coefficient between the data of any two detection parameters. Then, the control unit 2 determines whether or not there is a detection parameter of data abnormality based on the relationship between the decision coefficient between the data of any two detection parameters and the decision coefficient threshold. The above-mentioned decision coefficient threshold is obtained by off-line calibration, i.e. under normal conditions, the decision coefficient of the data of two detection parameters should be greater than the decision coefficient threshold, if it is less than the decision coefficient threshold, it indicates that there is an abnormality in the data of at least one detection parameter in the data of two detection parameters. The application is not limited to a specific value of the decision parameter threshold. The values of the decision coefficient thresholds corresponding to the data of the different two detection parameters may be the same or different.
The present application is not limited to the method of acquiring the determination coefficient between any two detection parameters by the control unit 2, and may be any determination coefficient acquisition method. For example, the control unit 2 may acquire the decision coefficient between any two detection parameters according to formula (2).
（2）
Wherein,for the decision coefficient between any two detection parameters, < +.>Is the sum of squares of the residuals>Is the sum of the total squares>Is true value +.>For predictive value +.>Is the average value.
For example, the control unit 2 may acquire a determination coefficient between the current data of the cable and the temperature data of the cable, and a determination coefficient between the target gas content data generated by heating of the cable and the temperature data of the cable, for example. If the decision coefficient between the current data of the cable and the temperature data of the cable exceeds the corresponding decision coefficient threshold, and the decision coefficient between the target gas content data generated by heating the cable and the temperature data of the cable is smaller than the corresponding decision coefficient threshold, the data abnormality of at least one detection parameter in the target gas content data generated by heating the cable and the temperature data of the cable is proved. However, since the decision coefficient between the current data of the cable and the temperature data of the cable exceeds the corresponding decision coefficient threshold, it is indicated that the current data of the cable and the temperature data of the cable are normal, and thus it is determined that the target gas content data generated by heating is abnormal, and so on.
By the method for determining whether the data of the detection parameters is abnormal or not by utilizing the determination coefficients, whether the data of the detection parameters is abnormal or not can be accurately judged, and further, after the data is judged to be abnormal, the abnormal data of the detection parameters can be eliminated, and only the normal data of the detection parameters are adopted as the data of the target detection parameters for judging whether the subsequent electrical cabinet has fire risks or not. By the mode, accuracy of judging whether the electrical cabinet has fire risks or not can be improved.
Optionally, the early warning protection system 100 may further include: a switch unit 5; the switching unit 5 is arranged on the main supply circuit of the electrical cabinet. The switching unit 5 may be, for example, a relay device.
Optionally, with continued reference to fig. 4, on the basis of this, if the duration of the risk of fire occurring in the electrical cabinet exceeds a preset time threshold and/or the predicted data of the target detection parameter exceeds a safety protection threshold, the control unit 2 controls the switching unit 5 to disconnect the main power supply circuit of the electrical cabinet.
The present application is not limited to a specific value of the preset time threshold, and one skilled in the art may set according to actual situations. The safety protection threshold corresponding to the target detection parameter is larger than the corresponding data threshold. On this basis, the present application is not limited to the specific value of the safety protection threshold. The safety protection threshold corresponding to the current detection parameter of the cable may be, for example, a maximum allowable value of the current of the cable, the safety protection threshold corresponding to the temperature detection parameter of the cable may be, for example, a maximum allowable value of the temperature of the cable, and the safety protection threshold corresponding to the target gas content detection parameter generated by heating the cable may be, for example, a content value of the target gas in the electric cabinet generated when the cable reaches the maximum allowable temperature at the target gas detection position.
For example, the control unit 2 records the duration of the risk of the electrical cabinet having a fire, and if the duration of the risk of the electrical cabinet having a fire exceeds a preset time threshold (for example, the early warning duration of the early warning device exceeds the preset time threshold), and/or the predicted data of the target detection parameter exceeds the safety protection threshold, the control unit 2 outputs a control signal to the control switch unit 5 to disconnect the path of the main power supply circuit of the electrical cabinet.
When the duration of the risk of fire occurrence of the electrical cabinet exceeds the preset time threshold, the electrical cabinet is indicated to be delayed and not subjected to corresponding treatment after the early warning prompt is output, and the control unit 2 cuts off the path of the main power supply circuit of the electrical cabinet. In this way, the control unit 2 can further ensure the safety of the electrical cabinet, avoiding the occurrence of electrical cabinet fires due to not timely acquired treatment. When the predicted data of the target detection parameters exceeds the safety protection threshold, the risk of fire of the electrical cabinet is further enlarged. At this time, the control unit 2 controls the switching unit 5 to disconnect the path of the main power supply circuit of the electrical cabinet, so that further expansion of the risk of electrical cabinet fire can be avoided, and occurrence of electrical cabinet fire can be avoided.
Fig. 5 is a schematic structural diagram of an electrical cabinet control device provided by the application. As shown in fig. 5, the electrical cabinet control device includes: the first acquisition module 61, the first determination module 62, the second acquisition module 63, the third acquisition module 64, the second determination module 65. Optionally, the electrical cabinet control device may further comprise the following modules, for example: a power down module 66.
A first obtaining module 61, configured to obtain a decision coefficient between data of any two detection parameters.
A first determining module 62, configured to determine whether a detection parameter with abnormal data exists according to a relationship between a decision coefficient between the data of any two detection parameters and a decision coefficient threshold. If the data is abnormal, the detection parameters other than the detection parameters of the data abnormality are taken as target detection parameters.
A second obtaining module 63, configured to obtain data of target detection parameters in the electrical cabinet, where the target detection parameters are some or all of the detection parameters in the electrical cabinet, and the detection parameters include: the temperature of the cable in the electrical cabinet, the current of the cable, and the target gas content generated by the heating of the cable.
The third obtaining module 64 is configured to obtain a trend of the target detection parameter according to the data of the target detection parameter.
The second determining module 65 is configured to determine whether the electrical cabinet has a risk of fire according to a data change trend of the target detection parameter, and when the risk exists, control the early warning unit to output fire early warning prompt information.
Optionally, the second determining module 65 is specifically configured to determine, according to a data change trend of each target detection parameter, whether predicted data exceeding a corresponding data threshold exists in a future preset duration of the target detection parameter; and if at least one target detection parameter has prediction data exceeding a corresponding data threshold value, determining that the electrical cabinet has a fire risk.
Optionally, the power-off module 66 is configured to control the switch unit to disconnect the main power supply circuit of the electrical cabinet if the duration of the risk of the electrical cabinet having a fire exceeds a preset time threshold, and/or the predicted data of the target detection parameter exceeds a safety protection threshold.
The electrical cabinet control device provided by the application can execute the electrical cabinet control method in the embodiment of the method, and the implementation principle and the technical effect are similar and are not repeated here. The division of the modules shown in fig. 5 is merely an illustration, and the present application is not limited to the division of the modules and the naming of the modules.
The application also provides an electrical cabinet comprising: an early warning protection system; the early warning protection system comprises: the system comprises an acquisition unit, a control unit, a power supply unit and an early warning unit; the control unit is respectively connected with the acquisition unit, the power supply unit and the early warning unit; the acquisition unit is arranged in the cabinet body of the electric cabinet.
The acquisition unit is used for acquiring data of detection parameters in the gas holder, and the detection parameters comprise: the temperature of the cable in the electrical cabinet, the current of the cable, and the target gas content generated by heating the cable.
The control unit is used for executing the electrical cabinet control method according to any one of the embodiments.
Fig. 6 is a schematic structural diagram of an electronic device 110 according to the present application. As shown in fig. 6, the electronic device may include: at least one processor 111, a memory 112. The electronic device may be, for example, the aforementioned control unit.
A memory 112 for storing a program. In particular, the program may include program code including computer-operating instructions.
Memory 112 may comprise high-speed RAM memory or may further comprise non-volatile memory (non-volatile memory), such as at least one disk memory.
The processor 111 is configured to execute computer-executable instructions stored in the memory 112 to implement the electrical cabinet control method described in the foregoing method embodiment. The processor 111 may be a central processing unit (Central Processing Unit, abbreviated as CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, abbreviated as ASIC), or one or more integrated circuits configured to implement embodiments of the present application.
The electronic device 110 may further include a communication interface 113, so that communication interaction with an external device may be performed through the communication interface 113, and the external device may be, for example, an acquisition unit, a power supply unit, an early warning unit, and a switching unit. In a specific implementation, if the communication interface 113, the memory 112, and the processor 111 are implemented independently, the communication interface 113, the memory 112, and the processor 111 may be connected to each other and perform communication with each other through buses. The bus may be an industry standard architecture (Industry Standard Architecture, abbreviated ISA) bus, an external device interconnect (Peripheral Component, abbreviated PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated EISA) bus, among others. Buses may be divided into address buses, data buses, control buses, etc., but do not represent only one bus or one type of bus.
Alternatively, in a specific implementation, if the communication interface 113, the memory 112, and the processor 111 are integrated on a chip, the communication interface 113, the memory 112, and the processor 111 may complete communication through internal interfaces.
The present application also provides a computer-readable storage medium, which may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, and the like, specifically, the computer readable storage medium stores program instructions for the electrical cabinet control method in the above embodiment.
The present application also provides a computer program product comprising execution instructions stored in a readable storage medium. The at least one processor of the electronic device may read the execution instructions from the readable storage medium, and execution of the execution instructions by the at least one processor causes the electronic device to implement the electrical cabinet control method provided by the various embodiments described above.
Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (8)
1. An early warning protection system of an electrical cabinet, characterized in that the early warning protection system comprises: the system comprises an acquisition unit, a control unit, a power supply unit and an early warning unit; the control unit is respectively connected with the acquisition unit, the power supply unit and the early warning unit; the acquisition unit is arranged in the cabinet body of the electrical cabinet;
the acquisition unit is used for acquiring data of detection parameters in the gas holder, and the detection parameters comprise: the temperature of the cable in the electrical cabinet, the current of the cable, and the target gas content generated by heating the cable;
the control unit is used for:
acquiring a decision coefficient between data of any two detection parameters;
determining whether detection parameters with abnormal data exist according to the relation between the decision coefficients and the decision coefficient threshold values between the data of any two detection parameters;
if the data is abnormal, taking the detection parameters except the detection parameters with abnormal data in the detection parameters as target detection parameters; acquiring the change trend of the target detection parameter according to the data of the target detection parameter; the target detection parameters are part or all of the detection parameters;
And determining whether the electrical cabinet has a risk of fire disaster or not according to the data change trend of the target detection parameters, and controlling the early warning unit to output fire disaster early warning prompt information when the risk exists.
2. The system according to claim 1, characterized in that the control unit is specifically configured to:
determining whether predicted data exceeding a corresponding data threshold value exists in a future preset time length of the target detection parameters according to the data change trend of each target detection parameter;
and if at least one target detection parameter has prediction data exceeding a corresponding data threshold value, determining that the electrical cabinet has a fire risk.
3. The system according to any one of claims 1 or 2, wherein the early warning protection system further comprises: a switching unit; the switch unit is arranged on a main power supply circuit of the electric cabinet;
the control unit is further configured to:
and if the duration of the risk of fire occurrence of the electrical cabinet exceeds a preset time threshold and/or the predicted data of the target detection parameter exceeds a safety protection threshold, controlling the switch unit to disconnect the path of the main power supply circuit of the electrical cabinet.
4. The system according to any one of claims 1 or 2, wherein the acquisition unit comprises: a target gas content detection device, a plurality of temperature detection devices, and a plurality of current detection devices;
the plurality of temperature detection devices are used for collecting temperature data of the main circuit cable and at least one branch circuit cable of the electrical cabinet;
the plurality of current detection devices are used for collecting current data of the main circuit cable and at least one branch circuit cable of the electrical cabinet.
5. A method of controlling an electrical cabinet, the method comprising:
acquiring a decision coefficient between data of any two detection parameters;
determining whether detection parameters with abnormal data exist according to the relation between the decision coefficients and the decision coefficient threshold values between the data of any two detection parameters;
if the data is abnormal, taking the detection parameters except the detection parameters with abnormal data in the detection parameters as target detection parameters;
acquiring data of the target detection parameters in the electrical cabinet, wherein the target detection parameters are part or all of the detection parameters in the electrical cabinet, and the detection parameters comprise: the temperature of the cable in the electrical cabinet, the current of the cable, and the target gas content generated by heating the cable;
Acquiring the change trend of the target detection parameter according to the data of the target detection parameter;
and determining whether the electrical cabinet has a risk of fire disaster or not according to the data change trend of the target detection parameters, and controlling the early warning unit to output fire disaster early warning prompt information when the risk exists.
6. An electrical cabinet control device, the device comprising:
the first acquisition module is used for acquiring a decision coefficient between the data of any two detection parameters;
the first determining module is used for determining whether the detection parameters with abnormal data exist according to the relation between the decision coefficients and the decision coefficient threshold values between the data of any two detection parameters; if the data is abnormal, taking the detection parameters except the detection parameters with abnormal data in the detection parameters as target detection parameters;
the second acquisition module is used for acquiring data of the target detection parameters in the electrical cabinet, wherein the target detection parameters are part or all of the detection parameters in the electrical cabinet, and the detection parameters comprise: the temperature of the cable in the electrical cabinet, the current of the cable, and the target gas content generated by heating the cable;
The third acquisition module is used for acquiring the change trend of the target detection parameter according to the data of the target detection parameter;
and the second determining module is used for determining whether the electrical cabinet has a risk of fire disaster or not according to the data change trend of the target detection parameter, and controlling the early warning unit to output fire disaster early warning prompt information when the risk exists.
7. A computer-readable storage medium having stored therein computer-executable instructions that, when executed by a processor, are adapted to implement the electrical cabinet control method of claim 5.
8. An electrical cabinet, the electrical cabinet comprising: an early warning protection system; the early warning protection system comprises: the system comprises an acquisition unit, a control unit, a power supply unit and an early warning unit; the control unit is respectively connected with the acquisition unit, the power supply unit and the early warning unit; the acquisition unit is arranged in the cabinet body of the electrical cabinet;
the acquisition unit is used for acquiring data of detection parameters in the gas holder, and the detection parameters comprise: the temperature of the cable in the electrical cabinet, the current of the cable, and the target gas content generated by heating the cable;
The control unit is configured to execute the electrical cabinet control method according to claim 5.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117975699A (en) * | 2024-03-29 | 2024-05-03 | 烟台信谊电器有限公司 | Intelligent regulator cubicle control governing system based on thing networking |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100073841A1 (en) * | 2006-10-09 | 2010-03-25 | Per Erik Lie | Apparatus and method for fire protection of electrical installations |
| CN111247571A (en) * | 2018-09-28 | 2020-06-05 | 株式会社派特莱 | Notification system |
| CN113516819A (en) * | 2021-05-25 | 2021-10-19 | 北京创源信诚管理体系认证有限公司 | Intelligent electric fire early warning system and method for tobacco warehouse |
| CN113763667A (en) * | 2021-08-16 | 2021-12-07 | 镇江默勒电器有限公司 | Fire early warning and state monitoring device and method based on 5G edge calculation |
| CN115587331A (en) * | 2022-08-30 | 2023-01-10 | 广东电网有限责任公司广州供电局 | Power grid equipment operation state diagnosis and prediction method and system |
| CN116295595A (en) * | 2022-09-08 | 2023-06-23 | 国网江西省电力有限公司电力科学研究院 | Electrical cabinet fire risk assessment and early warning method based on multi-source heterogeneous information |
-
2023
- 2023-10-08 CN CN202311289606.7A patent/CN117037454B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100073841A1 (en) * | 2006-10-09 | 2010-03-25 | Per Erik Lie | Apparatus and method for fire protection of electrical installations |
| CN111247571A (en) * | 2018-09-28 | 2020-06-05 | 株式会社派特莱 | Notification system |
| CN113516819A (en) * | 2021-05-25 | 2021-10-19 | 北京创源信诚管理体系认证有限公司 | Intelligent electric fire early warning system and method for tobacco warehouse |
| CN113763667A (en) * | 2021-08-16 | 2021-12-07 | 镇江默勒电器有限公司 | Fire early warning and state monitoring device and method based on 5G edge calculation |
| CN115587331A (en) * | 2022-08-30 | 2023-01-10 | 广东电网有限责任公司广州供电局 | Power grid equipment operation state diagnosis and prediction method and system |
| CN116295595A (en) * | 2022-09-08 | 2023-06-23 | 国网江西省电力有限公司电力科学研究院 | Electrical cabinet fire risk assessment and early warning method based on multi-source heterogeneous information |
Non-Patent Citations (1)
| Title |
|---|
| 陈尚;蒋毅;宋珍;: "电力电缆火灾风险评价模型与预警信号分级", 南方电网技术, no. 04, pages 9 - 13 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117975699A (en) * | 2024-03-29 | 2024-05-03 | 烟台信谊电器有限公司 | Intelligent regulator cubicle control governing system based on thing networking |
| CN117975699B (en) * | 2024-03-29 | 2024-06-04 | 烟台信谊电器有限公司 | Intelligent regulator cubicle control governing system based on thing networking |
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|---|---|
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