CN115877269A - Power distribution early warning method, device, equipment and storage medium based on intelligent bus - Google Patents

Power distribution early warning method, device, equipment and storage medium based on intelligent bus Download PDF

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CN115877269A
CN115877269A CN202310149898.8A CN202310149898A CN115877269A CN 115877269 A CN115877269 A CN 115877269A CN 202310149898 A CN202310149898 A CN 202310149898A CN 115877269 A CN115877269 A CN 115877269A
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access
equipment
state
voltage
intelligent bus
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CN115877269B (en
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乔兴波
陈孔亮
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Shenzhen Sinway South Technology Co ltd
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Shenzhen Sinway South Technology Co ltd
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Abstract

The invention relates to an artificial intelligence technology, and discloses a power distribution early warning method based on an intelligent bus, which comprises the following steps: all the access devices are gathered into an access device group, and a device type form is generated according to the access device group; acquiring normal working data corresponding to the access equipment group through a temperature sensor, a voltage sensor and a current sensor of the intelligent bus, and generating normal working data according to the normal working data; monitoring the state of the access equipment group to obtain monitoring working data, and judging the state of each access equipment in the access equipment group according to the monitoring working data and the normal working data to obtain an equipment state form; and when the abnormal state appears in the equipment state form, performing abnormal early warning by using a display component of the intelligent bus according to the equipment type form. The invention further provides a power distribution early warning device based on the intelligent bus, electronic equipment and a storage medium. The invention can improve the accuracy of the safety early warning and has lower accuracy.

Description

Power distribution early warning method, device, equipment and storage medium based on intelligent bus
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a power distribution early warning method and device based on an intelligent bus, electronic equipment and a computer readable storage medium.
Background
The bus is a common circuit path for connecting a plurality of electric devices in a parallel branch form, the electricity consumption of various industries is increased sharply along with the emergence of modern engineering facilities and equipment, more and more people select the bus to carry out circuit transmission, but when the electric devices connected into the bus are excessive, the conditions of overlarge electricity load, temperature rise, sudden current increase and the like are easy to occur.
The existing bus early warning technology is mostly based on the safety early warning of current monitoring. For example, current monitoring is performed on equipment connected to the bus, and when the current exceeds a preset current threshold, a fault alarm signal is sent out to perform early warning. In practical applications, a single failure alarm cannot accurately determine the type of a device with a problem and the type of the device with the failure, and a misdetermination alarm is easily generated under the condition of a large circuit load, which may result in low accuracy in performing safety pre-warning.
Disclosure of Invention
The invention provides a power distribution early warning method and device based on an intelligent bus and a computer readable storage medium, and mainly aims to solve the problem of low accuracy in safety early warning.
In order to achieve the above object, the invention provides a power distribution early warning method based on an intelligent bus, comprising the following steps:
detecting access equipment of the intelligent bus through an access monitoring component of the intelligent bus, gathering all the access equipment into an access equipment group, and generating an equipment type form according to the access equipment group;
acquiring normal working data corresponding to the access equipment group through a temperature sensor, a voltage sensor and a current sensor of the intelligent bus;
monitoring the state of the access equipment group by using the temperature sensor, the voltage sensor and the current sensor to obtain monitoring working data, and judging the state of each access equipment in the access equipment group according to the monitoring working data and the normal working data to obtain an equipment state form;
and when the abnormal state appears in the equipment state form, carrying out abnormal early warning on the abnormal state by using a display component of the intelligent bus.
Optionally, the detecting, by an access monitoring component of the smart bus, access devices of the smart bus, and aggregating all the access devices into an access device group includes:
the access monitoring component is used for detecting the access state of all the three-jack socket components in the intelligent bus, and all three-jack socket equipment accessed into the three-jack socket components are gathered into a three-jack socket equipment set according to the detection result;
utilizing an access monitoring component of a smart bus to detect access states of all USB components in the smart bus, and collecting all USB devices accessed to the USB components into a USB device set according to a detection result;
utilizing the access monitoring component to detect the access state of all network cable components in the intelligent bus, and collecting all network cable devices accessed to the network cable components into a network cable device set according to the detection result;
the access monitoring component is used for detecting the access state of all wireless components in the intelligent bus, and all wireless equipment accessed to the wireless components are collected into a wireless equipment set according to the detection result;
and the three-jack socket device set, the USB device set, the network cable device set and the wireless device set are assembled into the access device group.
Optionally, the utilizing the access monitoring component to detect the access status of all the triple-jack socket components in the smart bus includes:
selecting the triple-jack socket assemblies one by one as target socket assemblies, and acquiring socket voltage graphs of the target socket assemblies by using the voltage detection assemblies in the access monitoring assemblies;
intercepting a voltage graph with preset duration from the socket voltage graph to serve as a target voltage graph, and counting the number of high and low level changes in the target voltage graph;
when the high-low level change times are equal to a preset socket frequency change threshold value and the voltage value is stabilized to a preset low voltage, determining that the triple-jack socket equipment is not accessed in the target socket assembly;
and when the number of times of the high and low level changes is larger than the socket frequency change threshold value and the voltage value periodically changes between the preset low voltage and the preset working voltage, determining that the triple-jack socket equipment is accessed into the target socket assembly.
Optionally, through temperature sensor, voltage sensor and the current sensor of wisdom generating line acquire the normal operating data that access equipment crowd corresponds includes:
selecting access devices in the access device group one by one as target access devices, acquiring working temperature data of the target access devices under preset monitoring duration by using the temperature sensor, and generating a working temperature curve according to the working temperature data;
acquiring working voltage data of the target access equipment under a preset monitoring duration by using the voltage sensor, and generating a working voltage frequency spectrum according to the working voltage data;
acquiring working current data of the target access equipment under a preset monitoring duration by using the current sensor, and generating a working current frequency spectrum according to the working current data;
and collecting the working temperature curve, the working voltage frequency spectrum and the working current frequency spectrum into equipment working data of the target access equipment, and collecting all the equipment working data into normal working data.
Optionally, the performing state judgment on each access device in the access device group according to the monitoring working data and the normal working data to obtain a device state form includes:
calculating the temperature deviation value of each access device in the access device group by using a preset inverse cosine deviation algorithm;
calculating the voltage deviation value of each access device in the access device group by using a preset countermeasure deviation algorithm;
calculating the current deviation value of each access device in the access device group by utilizing a preset multilayer conversion algorithm;
and judging the states of the access equipment in the access equipment group one by one according to the temperature deviation value, the voltage deviation value and the current deviation value to obtain an equipment state list.
Optionally, the performing state judgment on the access devices in the access device group one by one according to the temperature deviation value, the voltage deviation value, and the current deviation value to obtain a device state form includes:
selecting access devices in the access device group one by one as target detection devices, and judging whether the temperature deviation value of the target detection devices is greater than a preset temperature deviation threshold value or not;
when the temperature deviation value of the target detection equipment is greater than the temperature deviation threshold, judging whether the voltage deviation value of the target detection equipment is greater than a preset voltage deviation threshold or not and whether the current deviation value of the target detection equipment is greater than a preset current deviation threshold or not;
when the voltage deviation value of the target detection equipment is larger than the voltage deviation threshold value and the current deviation value of the target detection equipment is larger than the current deviation threshold value, determining that the target detection equipment is in a short-circuit state, and adding the short-circuit state into a preset equipment state form;
when the voltage deviation value of the target detection equipment is larger than the voltage deviation threshold and the current deviation value of the target detection equipment is smaller than or equal to the current deviation threshold, determining that the target detection equipment is in an overheat state, and adding the overheat state into a preset equipment state form;
when the temperature deviation value of the target detection equipment is smaller than or equal to the temperature deviation threshold, judging whether the voltage deviation value of the target detection equipment is larger than a preset voltage deviation threshold or not and whether the current deviation value of the target detection equipment is larger than a preset current deviation threshold or not;
when the voltage deviation value of the target detection equipment is smaller than or equal to the voltage deviation threshold and the current deviation value of the target detection equipment is larger than the current deviation threshold, determining that the target detection equipment is in a circuit breaking state, and adding the circuit breaking state into a preset equipment state form;
and when the voltage deviation value of the target detection equipment is less than or equal to the voltage deviation threshold and the current deviation value of the target detection equipment is less than or equal to the current deviation threshold, determining that the target detection equipment is in a normal state, and adding the normal state into a preset equipment state form.
Optionally, the using the display module of the smart bus to perform the abnormal early warning on the abnormal state includes:
retrieving access devices corresponding to the abnormal states from the device state form one by one to serve as target abnormal devices, acquiring the device types of the target abnormal devices from the device type form, and taking the device types of the target abnormal devices as target device types;
judging whether the abnormal state is the short-circuit state or not;
when the abnormal state is the short-circuit state, performing power-off operation on the target abnormal equipment, performing early warning display on the abnormal state and the type of the target equipment by using the display component, and sending an early warning notice to a user;
and when the abnormal state is not the short-circuit state, performing early warning display on the abnormal state and the type of the target equipment by using the display component, and sending an early warning notice to the user.
In order to solve the above problems, the present invention further provides a power distribution early warning device based on an intelligent bus, the device comprising:
the access detection module is used for detecting access equipment of the intelligent bus through an access monitoring component of the intelligent bus, gathering all the access equipment into an access equipment group and generating an equipment type form according to the access equipment group;
the normal data module is used for acquiring normal working data corresponding to the access equipment group through a temperature sensor, a voltage sensor and a current sensor of the intelligent bus;
the state judgment module is used for monitoring the state of the access equipment group by utilizing the temperature sensor, the voltage sensor and the current sensor to obtain monitoring working data, and judging the state of each access equipment in the access equipment group according to the monitoring working data and the normal working data to obtain an equipment state list;
and the abnormal early warning module is used for performing abnormal early warning on the abnormal state by utilizing a display component of the intelligent bus when the abnormal state appears in the equipment state form.
In order to solve the above problem, the present invention also provides an electronic device, including:
at least one processor; and (c) a second step of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the intelligent bus-based power distribution warning method described above.
In order to solve the above problem, the present invention further provides a computer-readable storage medium, in which at least one computer program is stored, and the at least one computer program is executed by a processor in an electronic device to implement the intelligent bus-based power distribution warning method described above.
According to the embodiment of the invention, the access equipment of the intelligent bus is detected through the access monitoring component of the intelligent bus, all the access equipment is gathered into the access equipment group, the access information of all the equipment accessed into the intelligent bus can be obtained, the equipment type form can be conveniently generated according to the access information in the follow-up process, and meanwhile, the equipment type information of all the equipment accessed into the intelligent bus can be obtained through the equipment type form, so that the safety early warning can be conveniently performed according to the equipment type in the follow-up process; through temperature sensor, voltage sensor and the current sensor of wisdom generating line acquire the normal operating data that the access equipment crowd corresponds can take notes the normal condition of every equipment among the access equipment to supplementary follow-up abnormal state's judgement promotes safety precaution's accuracy, through according to monitoring operating data and normal operating data is right every access equipment among the access equipment crowd carries out state judgement, obtains equipment state form, confirms equipment state through the mode of multistage judgement, can carry out mutual verification between the data, obtains more accurate equipment operating condition, thereby promotes the accuracy of unusual early warning, through utilizing the display module of wisdom generating line is right abnormal state carries out unusual early warning, can carry out the early warning according to the different branch circumstances of abnormal state, has strengthened safety precaution's ageing to can provide more accurate abnormal information for the user. Therefore, the intelligent bus-based power distribution early warning method, the intelligent bus-based power distribution early warning device, the electronic equipment and the computer readable storage medium can solve the problem of low accuracy in safety early warning.
Drawings
Fig. 1 is a schematic flow chart illustrating a power distribution warning method based on an intelligent bus according to an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating a process of calculating a matching value according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart illustrating selection of a second user representation according to one embodiment of the present invention;
fig. 4 is a functional block diagram of a power distribution warning device based on an intelligent bus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device for implementing the intelligent bus-based power distribution warning method according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
The embodiment of the application provides a power distribution early warning method based on an intelligent bus. The execution subject of the intelligent bus-based power distribution early warning method includes, but is not limited to, at least one of electronic devices, such as a server, a terminal, and the like, which can be configured to execute the method provided by the embodiments of the present application. In other words, the intelligent bus-based power distribution early warning method may be performed by software or hardware installed in a terminal device or a server device, and the software may be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server may be an independent server, or may be a cloud server that provides basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a web service, cloud communication, a middleware service, a domain name service, a security service, a Content Delivery Network (CDN), and a big data and artificial intelligence platform.
Fig. 1 is a schematic flow chart of a power distribution warning method based on an intelligent bus according to an embodiment of the present invention. In this embodiment, the power distribution early warning method based on the smart bus includes:
s1, detecting access equipment of a smart bus through an access monitoring component of the smart bus, gathering all the access equipment into an access equipment group, and generating an equipment type form according to the access equipment group;
in the embodiment of the invention, the intelligent bus is a safe and reliable novel intelligent bus system capable of monitoring the working condition of the bus in real time in the working process of the bus, can realize comprehensive, visual and real-time monitoring and intelligent analysis of the working condition of the bus, can provide more accurate, more timely, more complete and more consistent state information, and can send out a fault alarm signal in time when the working temperature of a three-phase node of an intelligent bus joint unit connected with the bus exceeds a normal value or the bus is abnormal due to other adverse condition factors such as bus overload, insulation layer aging and the like, so that the bus is ensured to run in a safe state for a long time.
Specifically, the access monitoring component comprises a wireless monitoring component and a voltage detection component.
In detail, the access device group is a device group formed by devices accessed to the smart bus, and includes a physical access device and a wireless access device.
In an embodiment of the present invention, the detecting, by an access monitoring component of a smart bus, access devices of the smart bus, and aggregating all the access devices into an access device group includes:
the method comprises the following steps of detecting access states of all three-jack socket assemblies in a smart bus by using an access monitoring assembly of the smart bus, and converging all three-jack socket equipment accessed into the three-jack socket assemblies into a three-jack socket equipment set according to a detection result;
the access monitoring component is used for detecting the access state of all USB components in the intelligent bus, and all USB equipment accessed to the USB components are collected into a USB equipment set according to the detection result;
the access monitoring component is used for detecting the access state of all network cable components in the intelligent bus, and all network cable equipment accessed to the network cable components are gathered into a network cable equipment set according to the detection result;
utilizing the access monitoring component to detect the access state of all wireless components in the intelligent bus, and collecting all wireless devices accessed to the wireless components into a wireless device set according to the detection result;
and the three-jack socket device set, the USB device set, the network cable device set and the wireless device set are assembled into the access device group.
In detail, the triple-jack socket assembly refers to a triple-jack socket for supplying power, and the triple-jack socket device refers to a device connected with the smart bus through a triple-jack socket.
In particular, the voltage detection component may be a voltmeter or a multimeter.
In detail, the wireless monitoring component may be a SAVS-C3000P wireless analyzer or a BQX-GD007 wireless analyzer.
In detail, the utilizing the access monitoring component to detect the access state of all the three-jack socket components in the smart bus comprises:
selecting the three-jack socket assemblies one by one as target socket assemblies, and acquiring socket voltage graphs of the target socket assemblies by using voltage detection assemblies in the access monitoring assemblies;
intercepting a voltage graph with preset duration from the socket voltage graph to serve as a target voltage graph, and counting the number of high and low level changes in the target voltage graph;
when the high-low level change times are equal to a preset socket frequency change threshold value and the voltage value is stabilized to a preset low voltage, determining that the triple-jack socket equipment is not accessed in the target socket assembly;
and when the high-low level change times are larger than the socket frequency change threshold value and the voltage value periodically changes between the preset low voltage and the preset working voltage, determining that the triple-jack socket equipment is accessed into the target socket assembly.
In detail, the preset time period may be 50ms.
In particular, the socket frequency variation threshold may be 0 or 1.
In detail, the preset low voltage may be 0.5V or 0.35V, and the operating voltage may be 3.5V or 5V.
Specifically, the method for detecting the access states of all USB components in the smart bus by using the access monitoring component is the same as the method for detecting the access states of all three-jack socket components in the smart bus by using the access monitoring component in S1, and is not described herein again.
In detail, the method for detecting the access states of all the network cable assemblies in the smart bus by using the access monitoring assembly is the same as the method for detecting the access states of all the triple-jack socket assemblies in the smart bus by using the access monitoring assembly in S1, and is not described again here.
In detail, the access state detection of all wireless components in the smart bus by using the access monitoring component comprises:
selecting the wireless assemblies one by one as target wireless assemblies, and acquiring a connecting equipment list of the target wireless assemblies by utilizing the wireless detection assemblies in the access monitoring assemblies;
determining that no wireless device has access to the wireless component when the list of connected devices is an empty list;
determining that a wireless device has access to the wireless component when the list of connected devices is not an empty list.
In detail, the device type table is a table that summarizes information such as a connection mode, a device type, and a device serial number of the device.
In this embodiment of the present invention, the generating a device type form according to the access device group includes:
generating a three-jack device list corresponding to the three-jack device set by using a preset feedback interaction method;
generating a USB device form corresponding to the USB device group by using a preset first communication method;
generating a network cable equipment list corresponding to the network cable equipment group by using a preset second communication method;
generating a wireless device list corresponding to the wireless device group by using a preset third communication method;
and the three-hole device form, the USB device form, the network cable device form and the wireless device form are collected into a device type form.
Specifically, the three-jack device form is a form containing the device types and device serial numbers of all three-jack socket devices.
In detail, the generating a three-jack device form corresponding to the three-jack device set by using a preset feedback interaction method includes:
selecting the socket equipment in the three-jack socket equipment set one by one as target socket equipment, and sending socket number information of the three-jack socket component corresponding to the target socket equipment to a user;
acquiring feedback information of the user aiming at the socket number information, and extracting the equipment type of the target socket equipment from the feedback information;
and adding the device type of the target socket device into a preset three-hole device form.
In detail, the first communication method may be a USB1.1 communication protocol or a USB2.0 communication protocol.
Specifically, the generating a USB device form corresponding to the USB device group by using a preset first communication method includes:
selecting the USB equipment as target USB equipment one by one, and sending an equipment type request to the target USB equipment through a preset first communication protocol;
acquiring first return data of the target USB equipment for the equipment type request, and extracting the equipment type of the target USB equipment from the first return data;
and adding the device type of the target USB device into a preset device type form.
In detail, the second communication method may be a TCP communication protocol or an IP communication protocol.
In detail, the method for generating the network cable device form corresponding to the network cable device group by using the preset second communication method is consistent with the method for generating the USB device form corresponding to the USB device group by using the preset first communication method in step S1, and is not described herein again.
Specifically, the third communication method may be a WiFi communication protocol, a bluetooth communication protocol, or a GSM communication protocol.
In detail, the method for generating the wireless device form corresponding to the wireless device group by using the preset third communication method is the same as the method for generating the USB device form corresponding to the USB device group by using the preset first communication method in step S1, and is not described herein again.
In the embodiment of the invention, the access equipment of the intelligent bus is monitored by the access detection component of the intelligent bus, all the access equipment is gathered into the access equipment group, the access information of all the equipment accessed into the intelligent bus can be obtained, the equipment type form can be conveniently generated according to the access information in the follow-up process, and meanwhile, the equipment type information of all the equipment accessed into the intelligent bus can be obtained by generating the equipment type form, so that the safety early warning can be conveniently carried out according to the equipment type in the follow-up process.
S2, acquiring normal working data corresponding to the access equipment group through a temperature sensor, a voltage sensor and a current sensor of the intelligent bus;
in the embodiment of the invention, the normal working data comprises a working temperature curve, a working voltage frequency spectrum and a working current frequency spectrum.
In an embodiment of the present invention, the acquiring, by the temperature sensor, the voltage sensor, and the current sensor of the smart bus, the normal operating data corresponding to the access device group includes:
selecting access devices in the access device group one by one as target access devices, acquiring working temperature data of the target access devices under a preset monitoring duration by using the temperature sensor, and generating a working temperature curve according to the working temperature data;
acquiring working voltage data of the target access equipment under a preset monitoring duration by using the voltage sensor, and generating a working voltage frequency spectrum according to the working voltage data;
acquiring working current data of the target access equipment under a preset monitoring duration by using the current sensor, and generating a working current frequency spectrum according to the working current data;
and collecting the working temperature curve, the working voltage frequency spectrum and the working current frequency spectrum into the device working data of the target access device, and collecting all the device working data into the normal working data.
In the embodiment of the invention, the normal working data corresponding to the access equipment group is obtained through the temperature sensor, the voltage sensor and the current sensor of the intelligent bus, and the normal state of each piece of access equipment can be recorded, so that the judgment of the subsequent abnormal state is assisted, and the accuracy of safety early warning is improved.
S3, monitoring the state of the access equipment group by using the temperature sensor, the voltage sensor and the current sensor to obtain monitoring working data, and judging the state of each access equipment in the access equipment group according to the monitoring working data and the normal working data to obtain an equipment state list;
in the embodiment of the present invention, the method for obtaining the monitoring working data by monitoring the state of the access device group using the temperature sensor, the voltage sensor, and the current sensor is consistent with the method for obtaining the normal working data corresponding to the access device group through the temperature sensor, the voltage sensor, and the current sensor of the smart bus in step S1, and details thereof are omitted here.
In detail, the performing state judgment on each access device in the access device group according to the monitoring working data and the normal working data to obtain a device state form includes:
calculating the temperature deviation value of each access device in the access device group by using a preset inverse cosine deviation algorithm;
calculating the voltage deviation value of each access device in the access device group by using a preset countermeasure deviation algorithm;
calculating the current deviation value of each access device in the access device group by utilizing a preset multilayer conversion algorithm;
and judging the states of the access equipment in the access equipment group one by one according to the temperature deviation value, the voltage deviation value and the current deviation value to obtain an equipment state list.
Specifically, the temperature deviation value refers to a curve trend deviation degree between an operating temperature curve of the target detection device and a monitoring temperature curve of the target detection device, the voltage deviation value refers to a spectrum state deviation degree between an operating voltage spectrum of the target detection device and a monitoring voltage spectrum of the target detection device, and the current deviation value refers to a deviation degree between an operating current spectrum of the target detection device and a monitoring current spectrum of the target detection device.
In detail, the calculating the temperature deviation value of each access device in the access device group by using a preset arccosine deviation algorithm includes:
selecting access devices in the access device group one by one as target detection devices, extracting a working temperature curve of the target detection devices from the normal working data, and extracting a monitoring temperature curve of the target detection devices from the monitoring working data;
calculating the temperature deviation value between the working temperature curve of the target detection equipment and the monitoring temperature curve of the target detection equipment by using an inverse cosine deviation algorithm as follows:
Figure SMS_1
wherein T is the temperature deviation value, arccos is an inverse cosine function, N is a total curve duration in the operating temperature curve and the monitored temperature curve, i is the ith time in the total curve duration, and->
Figure SMS_2
Is the temperature value at a first point in the operating temperature curve, in question>
Figure SMS_3
Is the temperature value at point 0 in the operating temperature curve, in particular at a temperature in the interior of a lamp or in the interior of a lamp housing>
Figure SMS_4
Is the temperature value at the i-th point in the monitored temperature curve, is greater than>
Figure SMS_5
Refers to monitoring the temperature value at time 0 in the temperature curve.
In the embodiment of the invention, the temperature deviation value between the working temperature curve of the target detection equipment and the monitoring temperature curve of the target detection equipment is calculated by utilizing the inverse cosine deviation algorithm, so that the two temperature curves can be divided into a plurality of deformation vectors, and the deviation values of the deformation vectors are compared, thereby comparing the deviation degree between the two temperature curves and improving the calculation accuracy of the deviation value.
In detail, the calculating the voltage deviation value of each access device in the access device group by using a preset countermeasure deviation algorithm includes:
selecting access devices in the access device group one by one as target detection devices, extracting working voltage frequency spectrums of the target detection devices from the normal working data, and extracting monitoring voltage frequency spectrums of the target detection devices from the monitoring working data;
calculating a voltage deviation value between the working voltage spectrum of the target detection device and the monitoring voltage spectrum of the target detection device by using a deviation countermeasure algorithm as follows:
Figure SMS_6
wherein V is the voltage deviation value, m is the total time length of the spectra in the operating voltage spectrum and in the monitoring voltage spectrum, j is the jth time in the total time length of the spectra, and/or>
Figure SMS_7
Refers to a voltage value in the operating voltage spectrum at a j-th time instant>
Figure SMS_8
Is the voltage value at the j-th time in the monitoring voltage spectrum>
Figure SMS_9
Is a preset countermeasure coefficient.
In detail, by calculating a voltage deviation value between the working voltage spectrum of the target detection device and the monitoring voltage spectrum of the target detection device by using the countermeasure deviation algorithm, a deviation value between characteristics of the voltage spectrum can be extracted, and by increasing a countermeasure coefficient, a user can extract the deviation value in a demand direction more conveniently.
Specifically, the calculating the current deviation value of each access device in the access device group by using a preset multilayer conversion algorithm includes:
selecting access devices in the access device group one by one as target detection devices, extracting a working current frequency spectrum of the target detection devices from the normal working data, and extracting a monitoring current frequency spectrum of the target detection devices from the monitoring working data;
calculating a current deviation value between the working current spectrum of the target detection device and the monitoring current spectrum of the target detection device by using a multi-layer conversion algorithm as follows:
Figure SMS_10
wherein A is the current deviation value, n is the total time span of the operating current spectrum and the monitoring current spectrum, k is the kth time instant in the total time span of the spectrum, and/or>
Figure SMS_11
Refers to the current value at the k-th time in the operating current spectrum>
Figure SMS_12
Refers to the current value at the kth time in the monitoring current spectrum.
In detail, by calculating a current deviation value between the working current spectrum of the target detection device and the monitoring current spectrum of the target detection device by using the multi-layer conversion algorithm, a difference value between the current spectrums can be enlarged, so that a larger difference value between the two current spectrums can be obtained.
In detail, the device status form includes a normal status, an open status, an over-temperature status, and a short-circuit status.
Specifically, referring to fig. 2, the performing state judgment on the access devices in the access device group one by one according to the temperature deviation value, the voltage deviation value, and the current deviation value to obtain a device state table includes:
s21, selecting access devices in the access device group one by one as target detection devices, and judging whether the temperature deviation value of the target detection devices is larger than a preset temperature deviation threshold value or not;
s22, when the temperature deviation value of the target detection equipment is larger than the temperature deviation threshold, judging whether the voltage deviation value of the target detection equipment is larger than a preset voltage deviation threshold or not and whether the current deviation value of the target detection equipment is larger than a preset current deviation threshold or not;
s23, when the voltage deviation value of the target detection equipment is larger than the voltage deviation threshold and the current deviation value of the target detection equipment is larger than the current deviation threshold, determining that the target detection equipment is in a short-circuit state, and adding the short-circuit state into a preset equipment state form;
s24, when the voltage deviation value of the target detection equipment is larger than the voltage deviation threshold and the current deviation value of the target detection equipment is smaller than or equal to the current deviation threshold, determining that the target detection equipment is in an overheat state, and adding the overheat state into a preset equipment state form;
s25, when the temperature deviation value of the target detection equipment is smaller than or equal to the temperature deviation threshold, judging whether the voltage deviation value of the target detection equipment is larger than the voltage deviation threshold or not and whether the current deviation value of the target detection equipment is larger than the current deviation threshold or not;
s26, when the voltage deviation value of the target detection equipment is smaller than or equal to the voltage deviation threshold and the current deviation value of the target detection equipment is larger than the current deviation threshold, determining that the target detection equipment is in a circuit breaking state, and adding the circuit breaking state into a preset equipment state form;
and S27, when the voltage deviation value of the target detection equipment is smaller than or equal to the voltage deviation threshold and the current deviation value of the target detection equipment is smaller than or equal to the current deviation threshold, determining that the target detection equipment is in a normal state, and adding the normal state into a preset equipment state form.
In the embodiment of the invention, each access device in the access device group is subjected to state judgment according to the monitoring working data and the normal working data to obtain a device state form, the device state is determined in a multi-stage judgment mode, mutual verification of data can be carried out, a more accurate device working state is obtained, and the accuracy of abnormal early warning is improved.
And S4, when the abnormal state occurs in the equipment state form, performing abnormal early warning on the abnormal state by using a display component of the intelligent bus.
In an embodiment of the present invention, the abnormal state includes a short-circuit state, and an overheat state.
In detail, the device state form may be traversed through a regular expression or a select language, so as to determine whether an abnormal state occurs in the device state form.
In an embodiment of the present invention, referring to fig. 3, the performing an abnormal early warning on the abnormal state by using the display module of the smart bus includes:
s31, retrieving access devices corresponding to the abnormal states from the device state form one by one to serve as target abnormal devices, acquiring the device types of the target abnormal devices from the device type form, and taking the device types of the target abnormal devices as target device types;
s32, judging whether the abnormal state is the short-circuit state or not;
s33, when the abnormal state is the short-circuit state, performing power-off operation on the target abnormal equipment, performing early warning display on the abnormal state and the type of the target equipment by using the display component, and sending an early warning notice to a user;
and S34, when the abnormal state is not the short-circuit state, performing early warning display on the abnormal state and the type of the target equipment by using the display component, and sending an early warning notice to the user.
In the embodiment of the invention, the display component of the intelligent bus is used for carrying out abnormity early warning on the abnormal state, the early warning can be carried out according to different conditions of the abnormal state, the timeliness of safety early warning is enhanced, and more accurate abnormity information can be provided for a user.
According to the embodiment of the invention, the access equipment of the intelligent bus is detected through the access monitoring component of the intelligent bus, all the access equipment is gathered into the access equipment group, the access information of all the equipment accessed into the intelligent bus can be obtained, the equipment type form can be conveniently generated according to the access information in the follow-up process, and meanwhile, the equipment type information of all the equipment accessed into the intelligent bus can be obtained through the equipment type form, so that the safety early warning can be conveniently performed according to the equipment type in the follow-up process; through temperature sensor, voltage sensor and the current sensor of wisdom generating line acquire the normal operating data that access equipment crowd corresponds can take notes the normal condition of every equipment in the access equipment to supplementary follow-up abnormal state's judgement promotes safety precaution's accuracy, through according to monitoring operating data and normal operating data is right every access equipment in the access equipment crowd carries out state judgement, obtains equipment status form, confirms equipment status through the mode of multistage judgement, can carry out mutual verification between the data, obtains more accurate equipment operating condition, thereby promotes the accuracy of unusual early warning, through utilizing the display module of wisdom generating line is right abnormal state carries out unusual early warning, can carry out the early warning according to the different branch condition of abnormal state, has strengthened safety precaution's timeliness to can provide more accurate abnormal information for the user. Therefore, the intelligent bus-based power distribution early warning method provided by the invention can solve the problem of low accuracy in safety early warning.
Fig. 4 is a functional block diagram of a power distribution warning device based on an intelligent bus according to an embodiment of the present invention.
The intelligent bus-based power distribution early warning device 100 can be installed in electronic equipment. According to the realized function, the intelligent bus-based power distribution early warning device 100 may include an access detection module 101, a normal data module 102, a state judgment module 103, and an abnormality early warning module 104. The module of the present invention, which may also be referred to as a unit, refers to a series of computer program segments that can be executed by a processor of an electronic device and that can perform a fixed function, and that are stored in a memory of the electronic device.
In the present embodiment, the functions of the respective modules/units are as follows: the access detection module 101 is configured to detect access devices of the smart bus through an access monitoring component of the smart bus, aggregate all the access devices into an access device group, and generate a device type form according to the access device group;
the normal data module 102 is configured to obtain normal working data corresponding to the access device group through a temperature sensor, a voltage sensor, and a current sensor of the smart bus;
the state judgment module 103 is configured to perform state monitoring on the access device group by using the temperature sensor, the voltage sensor, and the current sensor to obtain monitoring working data, and perform state judgment on each access device in the access device group according to the monitoring working data and the normal working data to obtain a device state form;
the abnormal early warning module 104 is configured to perform abnormal early warning on the abnormal state by using the display component of the smart bus when the abnormal state occurs in the device state form.
In detail, in the embodiment of the present invention, when the modules in the intelligent bus-based power distribution early warning apparatus 100 are used, the same technical means as the intelligent bus-based power distribution early warning method described in fig. 1 to 3 are adopted, and the same technical effect can be produced, which is not described herein again.
Fig. 5 is a schematic structural diagram of an electronic device for implementing a smart bus-based power distribution warning method according to an embodiment of the present invention.
The electronic device 1 may include a processor 10, a memory 11, a communication bus 12, and a communication interface 13, and may further include a computer program, such as a smart bus-based power distribution warning program, stored in the memory 11 and executable on the processor 10.
In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same function or different functions, and includes one or more Central Processing Units (CPUs), a microprocessor, a digital Processing chip, a graphics processor, a combination of various control chips, and the like. The processor 10 is a Control Unit of the electronic device, connects various components of the whole electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device by running or executing programs or modules (for example, executing a power distribution warning program based on a smart bus, etc.) stored in the memory 11 and calling data stored in the memory 11.
The memory 11 includes at least one type of readable storage medium including flash memory, removable hard disks, multimedia cards, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disks, optical disks, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device, for example a removable hard disk of the electronic device. The memory 11 may also be an external storage device of the electronic device in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, provided on the electronic device. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device. The memory 11 may be used to store not only application software installed in the electronic device and various data, such as codes of a power distribution warning program based on a smart bus, but also data that has been output or will be output temporarily.
The communication bus 12 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.
The communication interface 13 is used for communication between the electronic device and other devices, and includes a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), which are typically used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable, among other things, for displaying information processed in the electronic device and for displaying a visualized user interface.
Only electronic devices having components are shown, and those skilled in the art will appreciate that the structures shown in the figures do not constitute limitations on the electronic devices, and may include fewer or more components than shown, or some components in combination, or a different arrangement of components.
For example, although not shown, the electronic device may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management and the like are realized through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The intelligent bus-based power distribution early warning program stored in the memory 11 of the electronic device 1 is a combination of a plurality of instructions, and when running in the processor 10, can realize that:
detecting access equipment of the intelligent bus through an access monitoring component of the intelligent bus, gathering all the access equipment into an access equipment group, and generating an equipment type form according to the access equipment group;
acquiring normal working data corresponding to the access equipment group through a temperature sensor, a voltage sensor and a current sensor of the intelligent bus;
monitoring the state of the access equipment group by using the temperature sensor, the voltage sensor and the current sensor to obtain monitoring working data, and judging the state of each access equipment in the access equipment group according to the monitoring working data and the normal working data to obtain an equipment state form;
and when the abnormal state appears in the equipment state form, carrying out abnormal early warning on the abnormal state by using a display component of the intelligent bus.
Specifically, the specific implementation method of the instruction by the processor 10 may refer to the description of the relevant steps in the embodiment corresponding to the drawings, which is not described herein again.
Further, the integrated modules/units of the electronic device 1 may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. The computer readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM).
The present invention also provides a computer-readable storage medium, storing a computer program which, when executed by a processor of an electronic device, may implement:
detecting access equipment of the intelligent bus through an access monitoring component of the intelligent bus, gathering all the access equipment into an access equipment group, and generating an equipment type form according to the access equipment group;
acquiring normal working data corresponding to the access equipment group through a temperature sensor, a voltage sensor and a current sensor of the intelligent bus;
monitoring the state of the access equipment group by using the temperature sensor, the voltage sensor and the current sensor to obtain monitoring working data, and judging the state of each access equipment in the access equipment group according to the monitoring working data and the normal working data to obtain an equipment state form;
and when the abnormal state appears in the equipment state form, carrying out abnormal early warning on the abnormal state by using a display component of the intelligent bus.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The embodiment of the application can acquire and process related data based on an artificial intelligence technology. Among them, artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human Intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the same, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (10)

1. A power distribution early warning method based on an intelligent bus is characterized by comprising the following steps:
detecting access equipment of the intelligent bus through an access monitoring component of the intelligent bus, gathering all the access equipment into an access equipment group, and generating an equipment type form according to the access equipment group;
acquiring normal working data corresponding to the access equipment group through a temperature sensor, a voltage sensor and a current sensor of the intelligent bus;
monitoring the state of the access equipment group by using the temperature sensor, the voltage sensor and the current sensor to obtain monitoring working data, and judging the state of each access equipment in the access equipment group according to the monitoring working data and the normal working data to obtain an equipment state form;
and when the abnormal state appears in the equipment state form, carrying out abnormal early warning on the abnormal state by using a display component of the intelligent bus.
2. The intelligent bus-based power distribution early warning method as claimed in claim 1, wherein the access monitoring component of the intelligent bus detects the access devices of the intelligent bus, and the method for collecting all the access devices into an access device group comprises:
the access monitoring component of the intelligent bus is used for detecting the access state of all three-jack socket components in the intelligent bus, and all three-jack socket equipment accessed into the three-jack socket components are gathered into a three-jack socket equipment set according to the detection result;
the access monitoring component is used for detecting the access state of all USB components in the intelligent bus, and all USB devices accessed into the USB components are collected into a USB device set according to the detection result;
utilizing the access monitoring component to detect the access state of all network cable components in the intelligent bus, and collecting all network cable devices accessed to the network cable components into a network cable device set according to the detection result;
utilizing the access monitoring component to detect the access state of all wireless components in the intelligent bus, and collecting all wireless devices accessed to the wireless components into a wireless device set according to the detection result;
and the three-jack socket device set, the USB device set, the network cable device set and the wireless device set are assembled into the access device group.
3. The intelligent bus-based power distribution early warning method as claimed in claim 2, wherein the detecting the access status of all three-jack socket assemblies in the intelligent bus by using the access monitoring assembly comprises:
selecting the triple-jack socket assemblies one by one as target socket assemblies, and acquiring socket voltage graphs of the target socket assemblies by using the voltage detection assemblies in the access monitoring assemblies;
intercepting a voltage graph with preset duration from the socket voltage graph as a target voltage graph, and counting the high and low level change times in the target voltage graph;
when the high-low level change times are equal to a preset socket frequency change threshold value and the voltage value is stabilized to a preset low voltage, determining that the triple-jack socket equipment is not accessed in the target socket assembly;
and when the high-low level change times are larger than the socket frequency change threshold value and the voltage value periodically changes between the preset low voltage and the preset working voltage, determining that the triple-jack socket equipment is accessed into the target socket assembly.
4. The intelligent bus-based power distribution early warning method according to claim 1, wherein the acquiring of the normal operation data corresponding to the access device group through the temperature sensor, the voltage sensor and the current sensor of the intelligent bus comprises:
selecting access devices in the access device group one by one as target access devices, acquiring working temperature data of the target access devices under preset monitoring duration by using the temperature sensor, and generating a working temperature curve according to the working temperature data;
acquiring working voltage data of the target access equipment under a preset monitoring duration by using the voltage sensor, and generating a working voltage frequency spectrum according to the working voltage data;
acquiring working current data of the target access equipment under a preset monitoring duration by using the current sensor, and generating a working current frequency spectrum according to the working current data;
and collecting the working temperature curve, the working voltage frequency spectrum and the working current frequency spectrum into equipment working data of the target access equipment, and collecting all the equipment working data into normal working data.
5. The intelligent bus-based power distribution early warning method as claimed in claim 1, wherein the performing the state judgment on each access device in the access device group according to the monitored operation data and the normal operation data to obtain a device state form comprises:
calculating the temperature deviation value of each access device in the access device group by using a preset inverse cosine deviation algorithm;
calculating the voltage deviation value of each access device in the access device group by using a preset countermeasure deviation algorithm;
calculating the current deviation value of each access device in the access device group by using a preset multilayer conversion algorithm;
and judging the states of the access equipment in the access equipment group one by one according to the temperature deviation value, the voltage deviation value and the current deviation value to obtain an equipment state list.
6. The intelligent bus-based power distribution early warning method as claimed in claim 5, wherein the step of performing state judgment on the access devices in the access device group one by one according to the temperature deviation value, the voltage deviation value and the current deviation value to obtain a device state table comprises:
selecting access devices in the access device group one by one as target detection devices, and judging whether the temperature deviation value of the target detection devices is greater than a preset temperature deviation threshold value or not;
when the temperature deviation value of the target detection equipment is greater than the temperature deviation threshold, judging whether the voltage deviation value of the target detection equipment is greater than a preset voltage deviation threshold or not and whether the current deviation value of the target detection equipment is greater than a preset current deviation threshold or not;
when the voltage deviation value of the target detection equipment is larger than the voltage deviation threshold and the current deviation value of the target detection equipment is larger than the current deviation threshold, determining that the target detection equipment is in a short circuit state, and adding the short circuit state into a preset equipment state form;
when the voltage deviation value of the target detection equipment is larger than the voltage deviation threshold and the current deviation value of the target detection equipment is smaller than or equal to the current deviation threshold, determining that the target detection equipment is in an overheat state, and adding the overheat state into a preset equipment state form;
when the temperature deviation value of the target detection equipment is smaller than or equal to the temperature deviation threshold, judging whether the voltage deviation value of the target detection equipment is larger than a preset voltage deviation threshold or not and whether the current deviation value of the target detection equipment is larger than a preset current deviation threshold or not;
when the voltage deviation value of the target detection equipment is smaller than or equal to the voltage deviation threshold and the current deviation value of the target detection equipment is larger than the current deviation threshold, determining that the target detection equipment is in a circuit breaking state, and adding the circuit breaking state into a preset equipment state form;
when the voltage deviation value of the target detection equipment is smaller than or equal to the voltage deviation threshold value and the current deviation value of the target detection equipment is smaller than or equal to the current deviation threshold value, determining that the target detection equipment is in a normal state, and adding the normal state into a preset equipment state form.
7. The intelligent bus-based power distribution early warning method as claimed in any one of claims 2 to 6, wherein the performing of the abnormal early warning on the abnormal state by using the display component of the intelligent bus comprises:
retrieving access devices corresponding to the abnormal states from the device state form one by one to serve as target abnormal devices, acquiring the device types of the target abnormal devices from the device type form, and taking the device types of the target abnormal devices as target device types;
judging whether the abnormal state is the short-circuit state or not;
when the abnormal state is the short-circuit state, performing power-off operation on the target abnormal equipment, performing early warning display on the abnormal state and the type of the target equipment by using the display component, and sending an early warning notice to a user;
and when the abnormal state is not the short-circuit state, performing early warning display on the abnormal state and the type of the target equipment by using the display component, and sending an early warning notice to the user.
8. The utility model provides a distribution early warning device based on wisdom generating line which characterized in that, the device includes:
the access detection module is used for detecting access equipment of the intelligent bus through an access monitoring component of the intelligent bus, gathering all the access equipment into an access equipment group and generating an equipment type form according to the access equipment group;
the normal data module is used for acquiring normal working data corresponding to the access equipment group through a temperature sensor, a voltage sensor and a current sensor of the intelligent bus;
the state judgment module is used for monitoring the state of the access equipment group by using the temperature sensor, the voltage sensor and the current sensor to obtain monitoring working data, and judging the state of each access equipment in the access equipment group according to the monitoring working data and the normal working data to obtain an equipment state form;
and the abnormal early warning module is used for performing abnormal early warning on the abnormal state by utilizing a display component of the intelligent bus when the abnormal state appears in the equipment state form.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the intelligent bus-based power distribution warning method according to any one of claims 1 to 7.
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