CN115600148B - Power supply control method and related device based on Internet of things monitoring - Google Patents
Power supply control method and related device based on Internet of things monitoring Download PDFInfo
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- CN115600148B CN115600148B CN202211359468.0A CN202211359468A CN115600148B CN 115600148 B CN115600148 B CN 115600148B CN 202211359468 A CN202211359468 A CN 202211359468A CN 115600148 B CN115600148 B CN 115600148B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 95
- 238000000034 method Methods 0.000 title claims abstract description 44
- 230000002159 abnormal effect Effects 0.000 claims abstract description 37
- 238000011156 evaluation Methods 0.000 claims abstract description 37
- 230000005684 electric field Effects 0.000 claims abstract description 12
- 230000005611 electricity Effects 0.000 claims description 28
- 238000005265 energy consumption Methods 0.000 claims description 19
- 230000006399 behavior Effects 0.000 claims description 15
- 238000012423 maintenance Methods 0.000 claims description 15
- 230000006855 networking Effects 0.000 claims 2
- 230000000694 effects Effects 0.000 abstract description 5
- 238000004891 communication Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 3
- 238000012216 screening Methods 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
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- 230000003287 optical effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/40—Maintenance of things
Abstract
The application discloses a power supply control method and a related device based on Internet of things monitoring, wherein the method comprises the following steps: acquiring all electrical appliance information in a target area through an Internet of things at a preset interface, and determining a current electric field scene; establishing an anomaly monitoring list and storing electric appliance information meeting preset conditions into the anomaly monitoring list; acquiring a work log corresponding to the target electric appliance from the abnormal monitoring list; carrying out power consumption evaluation of the target electric appliance according to the work log so as to generate an evaluation report; and the power supply adjustment is carried out on the target electric appliance by combining the power consumption weight value in the power consumption scene, so that the technical effect of automatically carrying out the power supply adjustment on the electric appliance under the abnormal condition is realized.
Description
Technical Field
The application relates to the field of power supply control, in particular to a power supply control method based on internet of things monitoring and a related device.
Background
In daily life, the use of electric appliances has become an indispensable item for people. At present, a power network of 10kV and below belongs to a power distribution network, but part of the power distribution network has a 20kV voltage class network architecture, and the power distribution network is a part of the whole power system directly connected with scattered users.
When work or other reasons need to remotely acquire electrical appliance information, the power supply control to the electrical appliance needs to be manually input with corresponding instructions, and even the electrical appliance needs to be adjusted on site. This consumes significant manpower and material resources.
Therefore, how to automatically control the power supply of the target electric appliance under abnormal conditions is a technical problem to be solved urgently.
Disclosure of Invention
In order to realize power supply control of a target electrical appliance under abnormal conditions, the application provides a power supply control method based on monitoring of the Internet of things and a related device.
In a first aspect, the power supply control method based on internet of things monitoring provided by the application adopts the following technical scheme:
a power supply control method based on Internet of things monitoring comprises the following steps:
acquiring all electrical equipment information in a target area through an Internet of things at a preset interface, and determining a current electric field scene according to all the electrical equipment information;
establishing an anomaly monitoring list, and storing electric appliance information meeting preset conditions into the anomaly monitoring list;
acquiring a target electric appliance in the abnormal monitoring list and a work log corresponding to the target electric appliance;
performing electricity consumption assessment in the work log to generate an assessment report;
acquiring power consumption weight values of all electric appliances in the current power consumption scene, and generating a power consumption adjustment strategy according to the power consumption weight values of all electric appliances;
and carrying out power supply adjustment on the target electric appliance according to the power consumption adjustment strategy and the evaluation report.
Optionally, the step of establishing an anomaly monitoring list and storing the electrical appliance information meeting the preset condition into the anomaly monitoring list includes:
acquiring preset conditions, wherein the preset conditions are equipment incapable of feeding back electrical appliance information;
establishing an abnormal monitoring list, and judging whether target electric appliances meeting the preset conditions exist in electric equipment corresponding to all electric appliance information;
if yes, acquiring the electrical equipment information of the target electrical equipment through preset monitoring equipment and storing the electrical equipment information into the abnormal state monitoring list.
Optionally, after the step of obtaining the target electric appliance in the anomaly monitoring list and the work log corresponding to the target electric appliance, the method further includes:
acquiring an electric appliance type label corresponding to the target electric appliance;
judging whether the work log corresponding to the target electric appliance is valid or not according to the electric appliance type label;
if not, acquiring the electricity consumption information of the target electric appliance, generating an electric energy consumption report according to the electricity consumption information, and replacing a work log corresponding to the target electric appliance.
Optionally, the step of performing power consumption assessment in the work log to generate an assessment report includes:
acquiring an electric energy consumption list in the work log;
judging whether the electric energy consumption list meets the electricity utilization allocation condition or not;
if yes, behavior information in a preset time is obtained from the work log;
and generating an evaluation report according to the behavior information.
Optionally, after the step of determining whether the electric energy consumption list meets the point allocation condition, the method further includes:
if not, judging that the mechanical failure occurs in the target electrical appliance corresponding to the evaluation report;
generating a maintenance request report according to the judging result;
and sending the maintenance request report to a preset maintenance terminal.
Optionally, the step of obtaining the power consumption weight values of all the electrical appliances in the current power consumption scene and generating the power consumption adjustment policy according to the power consumption weight values of all the electrical appliances includes:
acquiring power consumption weight values of all electric appliances in the current power consumption scene;
determining an electric energy distribution scheme according to the power consumption weight values of all the electric appliances;
acquiring user-defined settings, and updating the electric energy distribution scheme according to the user-defined settings;
and generating an electricity utilization adjustment strategy according to the electricity energy distribution scheme.
Optionally, after the step of performing power supply adjustment on the target electrical appliance according to the power consumption adjustment policy, the method further includes:
generating a power supply adjustment log, and recording the target electric appliance and the power supply adjustment step in the power supply adjustment log;
and when the target electric appliance appears in the abnormal monitoring list, providing the power supply adjusting step to directly adjust the power supply of the target electric appliance.
In a second aspect, the present application provides a power supply control device based on monitoring of the internet of things, which is characterized in that the power supply control device based on monitoring of the internet of things includes:
the information acquisition module is used for acquiring all electrical appliance information in a target area through the Internet of things at a preset interface, and determining the current electric field scene according to all the electrical appliance information;
the list generation module is used for establishing an abnormal monitoring list and storing the electrical appliance information meeting the preset conditions into the abnormal monitoring list;
the log acquisition module is used for acquiring the target electric appliances in the abnormal monitoring list and the work logs corresponding to the target electric appliances;
a report generation module for performing a power usage assessment in the work log to generate an assessment report;
the strategy generation module is used for acquiring the power consumption weight values of all the electric appliances in the current power consumption scene and generating a power consumption adjustment strategy according to the power consumption weight values of all the electric appliances
And the power supply adjustment module is used for adjusting the power supply of the target electric appliance according to the power utilization adjustment strategy and the evaluation report.
In a third aspect, the present application provides a computer apparatus, the apparatus comprising: a memory, a processor which, when executing the computer instructions stored by the memory, performs the method as claimed in any one of the preceding claims.
In a fourth aspect, the application provides a computer readable storage medium comprising instructions which, when run on a computer, cause the computer to perform a method as described above.
In summary, the application comprises the following beneficial technical effects:
according to the method, all electric appliance information in a target area is acquired through the Internet of things at a preset interface, and the current electric field scene is determined; establishing an anomaly monitoring list and storing electric appliance information meeting preset conditions into the anomaly monitoring list; acquiring a work log corresponding to the target electric appliance from the abnormal monitoring list; carrying out power consumption evaluation of the target electric appliance according to the work log so as to generate an evaluation report; and the power supply adjustment is carried out on the target electric appliance by combining the power consumption weight value in the power consumption scene, so that the technical effect of automatically carrying out the power supply adjustment on the electric appliance under the abnormal condition is realized.
Drawings
FIG. 1 is a schematic diagram of a computer device in a hardware operating environment according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a first embodiment of a power supply control method based on internet of things monitoring according to the present application;
FIG. 3 is a schematic flow chart of a second embodiment of a power supply control method based on Internet of things monitoring according to the present application;
fig. 4 is a block diagram of a first embodiment of a power supply control device based on internet of things monitoring according to the present application.
Detailed Description
The present application will be described in further detail below with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
Referring to fig. 1, fig. 1 is a schematic diagram of a computer device structure of a hardware running environment according to an embodiment of the present application.
As shown in fig. 1, the computer device may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) or a stable nonvolatile Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
Those skilled in the art will appreciate that the architecture shown in fig. 1 is not limiting of a computer device and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a power supply control program based on monitoring of the internet of things may be included in the memory 1005 as one storage medium.
In the computer device shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the computer device of the present application may be provided in the computer device, where the computer device invokes the power supply control program based on the monitoring of the internet of things stored in the memory 1005 through the processor 1001, and executes the power supply control method based on the monitoring of the internet of things provided by the embodiment of the present application.
The embodiment of the application provides a power supply control method based on internet of things monitoring, and referring to fig. 2, fig. 2 is a flow chart of a first embodiment of the power supply control method based on internet of things monitoring.
In this embodiment, the power supply control method based on the monitoring of the internet of things includes the following steps:
step S10: and acquiring all the electrical equipment information in the target area through the Internet of things at a preset interface, and determining the current electric field scene according to all the electrical equipment information.
It should be noted that, the execution body of the present embodiment may be a computing service device having functions of data processing, network communication and program running, for example, a smart phone, a tablet computer, a personal computer, or other devices capable of implementing the above functions, which is not limited in this embodiment.
It can be understood that the electrical appliance (electrical appliance) refers to all electrical appliances, and from a professional perspective, mainly refers to electrical devices, equipment and elements for switching on and off a circuit and changing circuit parameters so as to realize the functions of controlling, adjusting, switching, detecting, protecting and the like of the circuit or the electrical equipment; from the common public, it mainly refers to some electric equipment commonly used in families for providing convenience for life, such as televisions, air conditioners, refrigerators, washing machines, various small household appliances, and the like.
It should be noted that, the current electric field scene refers to judging the working electric equipment according to the electric equipment information, and traversing the electric equipment according to the corresponding scene label after obtaining the information of the working electric equipment, and obtaining the scene factor matched with the label. And generating the current electric field scene according to all the matched scene factors after the traversal is finished.
In a specific implementation, acquiring all electrical appliance information in a target area through the internet of things at a preset interface means that the electrical appliance information in the target area is acquired through the internet of things, wherein the target area can be a house or a building, and specific use requirements are met. And the appliance information refers to information of an appliance transmitted by using a network, the appliance information including: the service time of the electric appliance, the current state of the electric appliance, the working energy consumption of the electric appliance and the like.
Step S20: and establishing an abnormal monitoring list, and storing the electrical appliance information meeting the preset conditions into the normal monitoring list.
The abnormal monitoring list is a list for storing abnormal electric appliances and corresponding electric appliance information after detecting the abnormal electric appliances. And the anomaly monitoring list is stored in a back-end server.
It will be appreciated that the preset condition is set for the purpose of screening electrical devices that do not function properly.
In a specific implementation, an anomaly monitoring list is established, and the electrical appliance information meeting the preset conditions is stored in the anomaly monitoring list by acquiring the preset conditions after the anomaly monitoring list is established at a preset address, and screening is performed according to the preset conditions and all the electrical appliance information to obtain a target electrical appliance. The number of the target electric appliances is an integer.
Further, in order to reasonably establish an anomaly monitoring list, the step of establishing the anomaly monitoring list and storing the electrical appliance information meeting the preset condition into the anomaly monitoring list includes: acquiring preset conditions, wherein the preset conditions are equipment incapable of feeding back electrical appliance information; establishing an abnormal monitoring list, and judging whether target electric appliances meeting the preset conditions exist in electric equipment corresponding to all electric appliance information; if yes, the electric appliance information of the target electric appliance is stored in the abnormal state monitoring list.
It should be noted that, the preset condition is a device that cannot feed back the electrical information, which means that the electrical device cannot upload its device information through the internet of things and cannot acquire the electrical information through other modes, for example, related sensors.
In a specific implementation, when the occurrence of an electric appliance meeting the preset condition is detected, the electric appliance is used as a target electric appliance and is stored in an abnormality monitoring list.
Step S30: and acquiring the target electric appliance and the corresponding work log of the target electric appliance in the abnormal monitoring list.
The work log corresponding to the target electric appliance is the work log for recording the work content of the target electric appliance, and the work log may be stored in a server and recorded by the target electric appliance itself, or may be generated by an execution body of the implementation in the background by collecting the work record sent by the target electric appliance.
Further, in order to improve the validity of the work log, after the step of obtaining the target electric appliance in the anomaly monitoring list and the work log corresponding to the target electric appliance, the method further includes: acquiring an electric appliance type label corresponding to the target electric appliance; judging whether the work log corresponding to the target electric appliance is valid or not according to the electric appliance type label; if not, acquiring the electricity consumption information of the target electric appliance, generating an electric energy consumption report according to the electricity consumption information, and replacing a work log corresponding to the target electric appliance.
It should be noted that, the appliance type tag refers to a function for distinguishing whether the appliance type has an automatic log record. In the present embodiment, the tag types include a class 1 tag and a class 2 tag. The electric appliance belonging to the class 1 label can keep a work log, and the work content of the electric appliance can be obtained by calling the work log of the class 1 label; the class 2 tag appliances themselves have no way to keep a log of work, as they do not carry a logic processor, but can only power on to do a simple job. For example: a common bulb or a small household hair dryer.
Step S40: the power usage assessment is performed in the work log to generate an assessment report.
Further, to improve accuracy of the evaluation report, the step of performing the power consumption evaluation in the work log to generate the evaluation report includes: performing electricity consumption assessment in the work log; acquiring behavior information of the target electric appliance in a preset time period; and generating an evaluation report according to the behavior information.
In specific implementation, performing power consumption evaluation to generate an evaluation report refers to obtaining the power consumption condition of a target electric appliance in a preset time period, and generating the evaluation report by combining the working content of the target electric appliance; the evaluation report refers to judging the electricity utilization trend of the target electric appliance and providing power supply adjustment suggestions.
Step S50: and acquiring the power consumption weight values of all the electric appliances in the current power consumption scene, and generating a power consumption adjustment strategy according to the power consumption weight values of all the electric appliances.
Further, in order to improve the rationality of generating the power consumption adjustment policy, the step of obtaining the power consumption weight values of all the electric appliances in the current power consumption scene and generating the power consumption adjustment policy according to the power consumption weight values of all the electric appliances includes: acquiring power consumption weight values of all electric appliances in the current power consumption scene; determining an electric energy distribution scheme according to the power consumption weight values of all the electric appliances; acquiring user-defined settings, and updating the electric energy distribution scheme according to the user-defined settings; and generating an electricity utilization adjustment strategy according to the electricity energy distribution scheme.
The power consumption adjustment strategy is a strategy for supplying power to the target electric appliance, and different power supply strategies to the target electric appliance are realized by controlling the power consumption adjustment strategy.
In a specific implementation, the specific operation of performing power supply adjustment on the target electrical appliance according to the power consumption adjustment strategy includes: switching power, cutting off power, enabling a safe power protocol, etc. The power consumption adjustment strategy is a strategy for supplying power to the target electric appliance, and different power supply strategies to the target electric appliance are realized by controlling the power consumption adjustment strategy.
In a specific implementation, the specific operation of performing power supply adjustment on the target electrical appliance according to the power consumption adjustment strategy includes: switching power, cutting off power, enabling a safe power protocol, etc.
It should be noted that, the power consumption weight value means that there may be important electrical equipment in the target area, and the influence on the important electrical equipment needs to be reduced as much as possible when the power consumption control is performed, so that when the power consumption adjustment strategy is generated, excessive control on the important electrical equipment is avoided by setting a high weight value.
Step S60: and carrying out power supply adjustment on the target electric appliance according to the power consumption adjustment strategy and the evaluation report.
Further, in order to improve the efficiency of power supply adjustment, after the step of performing power supply adjustment on the target electrical appliance according to the power consumption adjustment policy, the method further includes: generating a power supply adjustment log, and recording the target electric appliance and the power supply adjustment step in the power supply adjustment log; and when the target electric appliance appears in the abnormal monitoring list, providing the power supply adjusting step to directly adjust the power supply of the target electric appliance.
In the embodiment, all electric appliance information in a target area is acquired through the Internet of things at a preset interface, and the current electric field scene is determined; establishing an anomaly monitoring list and storing electric appliance information meeting preset conditions into the anomaly monitoring list; acquiring a work log corresponding to the target electric appliance from the abnormal monitoring list; carrying out power consumption evaluation of the target electric appliance according to the work log so as to generate an evaluation report; and the power supply adjustment is carried out on the target electric appliance by combining the power consumption weight value in the power consumption scene, so that the technical effect of automatically carrying out the power supply adjustment on the electric appliance under the abnormal condition is realized.
Referring to fig. 4, fig. 4 is a flowchart of a second embodiment of a power supply control method based on internet of things monitoring according to the present application.
Based on the above first embodiment, the step S40 of the power supply control method based on the monitoring of the internet of things in this embodiment further includes:
step S401: and acquiring a power consumption list in the evaluation report.
It should be noted that, the power consumption list refers to the power consumption situation of the target electric appliance within the preset time, where specific power consumption information in the power consumption list may be represented by a histogram or a graph, and the embodiment is not limited herein.
Step S402: and judging whether the target electric appliance corresponding to the evaluation report meets the electricity utilization allocation condition according to the electric energy consumption list.
Further, in order to realize timely feedback of the fault problem of the target electric appliance under the condition that the power consumption allocation is not satisfied, after the step of judging whether the target electric appliance corresponding to the evaluation report satisfies the power consumption allocation condition according to the electric energy consumption list, the method further includes: if not, judging that the mechanical failure occurs in the target electrical appliance corresponding to the evaluation report; generating a maintenance request report according to the judging result; and sending the maintenance request report to a preset maintenance terminal.
Step S403: if yes, behavior information in a preset time is obtained from the work log.
In a specific implementation, if it is determined according to the electric energy consumption list that the target electric appliance corresponding to the evaluation report meets the electricity utilization allocation condition, a preset time is obtained, wherein the preset time is a duration set according to a specific use condition. And acquiring corresponding behavior information after acquiring the preset time.
Step S404: and generating an evaluation report according to the behavior information.
The embodiment obtains the electric energy consumption list in the work log; judging whether the electric energy consumption list meets the electricity utilization allocation condition or not; if yes, behavior information in a preset time is obtained from the work log; generating an evaluation report according to the behavior information; the situation of wrong power supply is prevented, and the safety of power supply adjustment of the target electrical appliance is further improved.
In addition, the embodiment of the application also provides a computer readable storage medium, wherein the storage medium is stored with a program for controlling power supply based on the monitoring of the internet of things, and the program for controlling the power supply based on the monitoring of the internet of things realizes the steps of the method for controlling the power supply based on the monitoring of the internet of things when being executed by a processor.
Referring to fig. 4, fig. 4 is a block diagram of a first embodiment of a power supply control device based on internet of things monitoring according to the present application.
As shown in fig. 4, the monitoring and power supply control device based on the internet of things provided by the embodiment of the application includes:
the information acquisition module 10 is used for acquiring all electrical appliance information in a target area through the internet of things at a preset interface, and determining a current electric field scene according to all the electrical appliance information;
the list generation module 20 is configured to establish an anomaly monitoring list, and store electrical appliance information that meets a preset condition into the anomaly monitoring list;
the log obtaining module 30 is configured to obtain a target electric appliance in the anomaly monitoring list and a working log corresponding to the target electric appliance;
a report generation module 40 for performing a power usage assessment in the work log to generate an assessment report;
the policy generation module 50 is configured to obtain power consumption weight values of all electrical appliances in the current power consumption scene, and generate a power consumption adjustment policy according to the power consumption weight values of all electrical appliances;
and the power supply adjustment module 60 is used for adjusting the power supply of the target electrical appliance according to the power utilization adjustment strategy and the evaluation report.
It should be understood that the foregoing is illustrative only and is not limiting, and that in specific applications, those skilled in the art may set the application as desired, and the application is not limited thereto.
In the embodiment, all electric appliance information in a target area is acquired through the Internet of things at a preset interface, and the current electric field scene is determined; establishing an anomaly monitoring list and storing electric appliance information meeting preset conditions into the anomaly monitoring list; acquiring a work log corresponding to the target electric appliance from the abnormal monitoring list; carrying out power consumption evaluation of the target electric appliance according to the work log so as to generate an evaluation report; and the power supply adjustment is carried out on the target electric appliance by combining the power consumption weight value in the power consumption scene, so that the technical effect of automatically carrying out the power supply adjustment on the electric appliance under the abnormal condition is realized.
In an embodiment, the list generating module 20 is further configured to obtain a preset condition, where the preset condition is a device that cannot feed back information of an electrical appliance; establishing an abnormal monitoring list, and judging whether target electric appliances meeting the preset conditions exist in electric equipment corresponding to all electric appliance information; if yes, the electric appliance information of the target electric appliance is stored in the abnormal state monitoring list.
In an embodiment, the log obtaining module 30 is further configured to obtain an appliance type tag corresponding to the target appliance; judging whether the work log corresponding to the target electric appliance is valid or not according to the electric appliance type label; if not, acquiring the electricity consumption information of the target electric appliance, generating an electric energy consumption report according to the electricity consumption information, and replacing a work log corresponding to the target electric appliance.
In one embodiment, the report generating module 40 is further configured to obtain a power consumption list in the work log; judging whether the electric energy consumption list meets the electricity utilization allocation condition or not; if yes, behavior information in a preset time is obtained from the work log; and generating an evaluation report according to the behavior information.
In an embodiment, the report generating module 40 is further configured to determine that the target electrical appliance corresponding to the evaluation report has a mechanical failure if not; generating a maintenance request report according to the judging result; and sending the maintenance request report to a preset maintenance terminal.
In an embodiment, the policy generation module 50 is further configured to obtain power consumption weight values of all electrical appliances in the current power consumption scenario; determining an electric energy distribution scheme according to the power consumption weight values of all the electric appliances; acquiring user-defined settings, and updating the electric energy distribution scheme according to the user-defined settings; and generating an electricity utilization adjustment strategy according to the electricity energy distribution scheme.
In an embodiment, the power supply adjustment module 60 is further configured to generate a power supply adjustment log, and record the target appliance and the power supply adjustment step in the power supply adjustment log; and when the target electric appliance appears in the abnormal monitoring list, providing the power supply adjusting step to directly adjust the power supply of the target electric appliance.
It should be noted that the above-described working procedure is merely illustrative, and does not limit the scope of the present application, and in practical application, a person skilled in the art may select part or all of them according to actual needs to achieve the purpose of the embodiment, which is not limited herein.
In addition, technical details not described in detail in the present embodiment may refer to the method for controlling power supply based on monitoring of the internet of things provided in any embodiment of the present application, which is not described herein again.
Furthermore, it should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. Read Only Memory)/RAM, magnetic disk, optical disk) and including several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present application.
The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the application, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (7)
1. The power supply control method based on the monitoring of the Internet of things is characterized by comprising the following steps of:
acquiring all electrical equipment information in a target area through an Internet of things at a preset interface, and determining a current electric field scene according to all the electrical equipment information;
establishing an anomaly monitoring list, and storing electric appliance information meeting preset conditions into the anomaly monitoring list;
acquiring a target electric appliance in the abnormal monitoring list and a work log corresponding to the target electric appliance;
performing electricity consumption assessment in the work log to generate an assessment report;
acquiring power consumption weight values of all electric appliances in the current power consumption scene, and generating a power consumption adjustment strategy according to the power consumption weight values of all electric appliances;
performing power supply adjustment on the target electric appliance according to the power consumption adjustment strategy and the evaluation report;
the step of establishing an anomaly monitoring list and storing the electrical appliance information meeting the preset conditions into the anomaly monitoring list comprises the following steps:
acquiring preset conditions, wherein the preset conditions are equipment incapable of feeding back electrical appliance information;
establishing an abnormal monitoring list, and judging whether target electric appliances meeting the preset conditions exist in electric equipment corresponding to all electric appliance information;
if yes, acquiring the electrical equipment information of the target electrical equipment through preset monitoring equipment and storing the electrical equipment information into the abnormal monitoring list;
wherein the step of performing the electricity consumption assessment in the work log to generate an assessment report includes:
acquiring an electric energy consumption list in the work log;
judging whether the electric energy consumption list meets the electricity utilization allocation condition or not;
if yes, behavior information in a preset time is obtained from the work log;
generating an evaluation report according to the behavior information;
after the step of judging whether the electric energy consumption list meets the point allocation condition, the method further comprises the following steps:
if not, judging that the mechanical failure occurs in the target electrical appliance corresponding to the evaluation report;
generating a maintenance request report according to the judging result;
the maintenance request report is sent to a preset maintenance terminal;
the power consumption weight values of all the electric appliances are used for avoiding excessive control of important electric appliance equipment by setting the power consumption weight.
2. The power supply control method based on internet of things monitoring according to claim 1, wherein after the step of obtaining the target electric appliance in the anomaly monitoring list and the work log corresponding to the target electric appliance, further comprises:
acquiring an electric appliance type label corresponding to the target electric appliance;
judging whether the work log corresponding to the target electric appliance is valid or not according to the electric appliance type label;
if not, acquiring the electricity consumption information of the target electric appliance, generating an electric energy consumption report according to the electricity consumption information, and replacing a work log corresponding to the target electric appliance.
3. The power supply control method based on the monitoring of the internet of things according to claim 1, wherein the step of obtaining the power consumption weight values of all the electric appliances in the current power consumption scene and generating the power consumption adjustment strategy according to the power consumption weight values of all the electric appliances comprises the following steps:
acquiring power consumption weight values of all electric appliances in the current power consumption scene;
determining an electric energy distribution scheme according to the power consumption weight values of all the electric appliances;
acquiring user-defined settings, and updating the electric energy distribution scheme according to the user-defined settings;
and generating an electricity utilization adjustment strategy according to the electricity energy distribution scheme.
4. The power supply control method based on internet of things monitoring according to any one of claims 1 to 3, wherein after the step of performing power supply adjustment on the target electrical appliance according to the power consumption adjustment policy, further comprising:
generating a power supply adjustment log, and recording the target electric appliance and the power supply adjustment step in the power supply adjustment log;
and when the target electric appliance appears in the abnormal monitoring list, providing the power supply adjusting step to directly adjust the power supply of the target electric appliance.
5. The utility model provides a power supply control device based on thing networking monitoring, its characterized in that, power supply control device based on thing networking monitoring includes:
the information acquisition module is used for acquiring all electrical appliance information in a target area through the Internet of things at a preset interface, and determining the current electric field scene according to all the electrical appliance information;
the list generation module is used for establishing an abnormal monitoring list and storing the electrical appliance information meeting the preset conditions into the abnormal monitoring list;
the log acquisition module is used for acquiring the target electric appliances in the abnormal monitoring list and the work logs corresponding to the target electric appliances; a report generation module for performing a power usage assessment in the work log to generate an assessment report;
the strategy generation module is used for acquiring the power consumption weight values of all the electric appliances in the current power consumption scene and generating a power consumption adjustment strategy according to the power consumption weight values of all the electric appliances;
the power supply adjustment module is used for adjusting the power supply of the target electric appliance according to the power utilization adjustment strategy and the evaluation report; the list generation module is further used for acquiring preset conditions, wherein the preset conditions are equipment incapable of feeding back electrical appliance information;
establishing an abnormal monitoring list, and judging whether target electric appliances meeting the preset conditions exist in electric equipment corresponding to all electric appliance information;
if yes, acquiring the electrical equipment information of the target electrical equipment through preset monitoring equipment and storing the electrical equipment information into the abnormal monitoring list;
the report generation module is further used for acquiring an electric energy consumption list in the work log;
judging whether the electric energy consumption list meets the electricity utilization allocation condition or not;
if yes, behavior information in a preset time is obtained from the work log;
generating an evaluation report according to the behavior information;
the report generation module is further used for judging that the target electric appliance corresponding to the evaluation report has mechanical faults if not;
generating a maintenance request report according to the judging result;
and sending the maintenance request report to a preset maintenance terminal.
6. A computer device, the device comprising: a memory, a processor which, when executing the computer instructions stored by the memory, performs the method of any one of claims 1 to 4.
7. A computer readable storage medium comprising instructions which, when run on a computer, cause the computer to perform the method of any one of claims 1 to 4.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110555972A (en) * | 2019-06-06 | 2019-12-10 | 国网浙江省电力有限公司 | Household appliance use frequency optimization method based on mass data acquired by intelligent socket |
| CN110867964A (en) * | 2019-11-26 | 2020-03-06 | 胡维东 | Intelligent electricity utilization safety monitoring method based on Internet of things and main control computer |
| CN111260505A (en) * | 2020-02-13 | 2020-06-09 | 吴龙圣 | Big data analysis method and device based on power Internet of things and computer equipment |
| CN112165161A (en) * | 2020-02-11 | 2021-01-01 | 吴龙圣 | Intelligent power grid monitoring method and system based on Internet of things |
| WO2021003923A1 (en) * | 2019-07-08 | 2021-01-14 | 平安科技（深圳）有限公司 | Freeswitch monitoring method, device, storage medium, and apparatus |
-
2022
- 2022-11-02 CN CN202211359468.0A patent/CN115600148B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110555972A (en) * | 2019-06-06 | 2019-12-10 | 国网浙江省电力有限公司 | Household appliance use frequency optimization method based on mass data acquired by intelligent socket |
| WO2021003923A1 (en) * | 2019-07-08 | 2021-01-14 | 平安科技（深圳）有限公司 | Freeswitch monitoring method, device, storage medium, and apparatus |
| CN110867964A (en) * | 2019-11-26 | 2020-03-06 | 胡维东 | Intelligent electricity utilization safety monitoring method based on Internet of things and main control computer |
| CN112165161A (en) * | 2020-02-11 | 2021-01-01 | 吴龙圣 | Intelligent power grid monitoring method and system based on Internet of things |
| CN111260505A (en) * | 2020-02-13 | 2020-06-09 | 吴龙圣 | Big data analysis method and device based on power Internet of things and computer equipment |
Non-Patent Citations (1)
| Title |
|---|
| 基于时间序列分析的用户异常供用电自动监测系统设计;韩锋等;《自动化与仪器仪表》(第03期);第190-193页 * |
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