CN112966379A - Anti-misoperation method and device based on locking - Google Patents
Anti-misoperation method and device based on locking Download PDFInfo
- Publication number
- CN112966379A CN112966379A CN202110248290.1A CN202110248290A CN112966379A CN 112966379 A CN112966379 A CN 112966379A CN 202110248290 A CN202110248290 A CN 202110248290A CN 112966379 A CN112966379 A CN 112966379A
- Authority
- CN
- China
- Prior art keywords
- data
- cabinet
- state
- low
- locking
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/906—Clustering; Classification
Abstract
The embodiment of the application discloses a locking-based anti-misoperation method and device. The technical scheme provided by the embodiment of the application comprises the following steps: collecting operation data of a low-voltage contact cabinet, inputting the operation data of the low-voltage contact cabinet into a preset data analysis model to output the current operation state of the low-voltage contact cabinet, and detecting the locking state of switching equipment when the operation state is normal, wherein the locking state comprises locking and unlocking; and when the switching equipment is determined to be unlocked, starting a locking process to lock the switching equipment. This application embodiment is through gathering low pressure contact cabinet operation relevant all kinds of data to carry out the result output of running state through the data analysis model established in advance, combine the state of locking of running state's result matching control switch device, intelligently combine all kinds of parameter control switch device to lock, prevent to be gone into by personnel's mistake and maloperation in low pressure contact cabinet normal operating, avoid bringing unnecessary economic loss.
Description
Technical Field
The embodiment of the application relates to the technical field of low-voltage contact cabinets, in particular to a locking-based anti-misoperation method and device.
Background
The low-voltage connection cabinet is the final equipment of a power distribution system, is usually used in the occasions with more dispersed loads and less loops, distributes the electric energy of a certain circuit of the upper-level power distribution equipment to the nearby coincidence and provides protection, monitoring and control.
There are a large number of switching devices in low-voltage interconnection cabinets that are used directly to control the switching of the lines. In actual operation, a plurality of switch devices of the same type are often required to be distributed in different areas, the switch devices of the same type only have differences in numbers and are difficult to distinguish in appearance, and a worker may operate a wrong switch device, which causes unnecessary trouble and economic loss.
Disclosure of Invention
The embodiment of the application provides a misoperation preventing method based on locking to combine various parameter data to carry out locking control in the operation process of a low-voltage contact cabinet, and prevent personnel from being lost due to misoperation.
In a first aspect, an embodiment of the present application provides a method for preventing misoperation based on locking, including:
collecting operation data of a low-voltage contact cabinet, and inputting the operation data of the low-voltage contact cabinet into a preset data analysis model so as to output the current operation state of the low-voltage contact cabinet, wherein the operation state comprises normal and abnormal;
when the operation state is normal, detecting the locking state of the switch equipment, wherein the locking state comprises locking and unlocking;
and when the switching equipment is determined to be unlocked, starting a locking process to lock the switching equipment.
Further, when the switching device is latched, receiving external touch data from the switching device;
and controlling an alarm device to alarm according to the external touch data.
Further, the preset data analysis model is constructed in the following manner:
the method comprises the steps that a plurality of groups of historical low-voltage contact cabinet operation data are obtained, wherein each group of historical low-voltage contact cabinet operation data comprises an operation state and at least one type of operation parameter;
classifying a plurality of groups of historical low-voltage cabinet operation data according to the operation state, wherein the groups of historical low-voltage cabinet operation data comprise historical low-voltage cabinet operation data with normal operation state and abnormal historical low-voltage cabinet operation data;
respectively acquiring the numerical range of each operating parameter in the historical low-voltage contact cabinet operating data with normal operating state and the historical low-voltage contact cabinet operating data with abnormal operating state;
extracting data characteristics of the historical low-voltage cabinet operation data according to the normal numerical range of each operation parameter in the operation state and the abnormal numerical range of each operation parameter in the operation state; the data characteristics comprise a numerical value increment range from the normal running state to the abnormal running state of each running parameter;
and constructing the data analysis model according to the data characteristics.
Further, according to the normal numerical range of each operation parameter in the operation state and the abnormal numerical range in the operation state, extracting the data characteristics of the operation data of the historical low-voltage cabinet, including:
calculating a difference range between a normal numerical range of each operation parameter in an operation state and an abnormal numerical range of each operation parameter in the operation state, wherein the difference range is a data characteristic and is defined as a numerical increment range;
constructing a data analysis model as Y ═ X1+Xd1，X2+Xd2，……，Xi+XdiIn which Y is a data analysis model, XiDenotes different operating parameters, XdiA range of numerical increments corresponding to the operating parameter is indicated.
Further, the method also comprises the following steps:
when the switching equipment is determined to be locked, receiving an unlocking instruction of a user, wherein the unlocking instruction comprises identity information and operation requirements of the user; the operation requirement comprises the model of the equipment to be overhauled;
and when the identity information is verified to be legal, the model of the equipment to be overhauled is matched, and when the matching is consistent, the switch equipment is controlled to be unlocked.
Further, the operation data of the low-voltage communication cabinet comprises one or more of temperature data in the cabinet, temperature data outside the cabinet, humidity data in the cabinet, humidity data outside the cabinet, atmospheric pressure in the cabinet, atmospheric pressure outside the cabinet and electric parameter data in the cabinet.
In a second aspect, an embodiment of the present application provides a lockout-based anti-misoperation device, including:
a data acquisition module: the low-voltage contact cabinet operation data acquisition module is used for acquiring the low-voltage contact cabinet operation data, inputting the low-voltage contact cabinet operation data into a preset data analysis model, and outputting the current operation state of the low-voltage contact cabinet, wherein the operation state comprises normal and abnormal;
the switch state detection module: the locking device is used for detecting the locking state of the switch equipment when the operation state is normal, wherein the locking state comprises locking and unlocking;
a locking flow starting module: and starting a locking process to lock the switch device when the switch device is determined to be unlocked.
Further, the method also comprises the following steps:
a touch data acquisition module: receiving external touch data from the switching device when the switching device is latched;
the equipment alarm module: and the alarm device is used for controlling alarm equipment to alarm according to the external touch data.
Further, the preset data analysis model is constructed by the following means:
a historical data acquisition module: the system comprises a plurality of groups of historical low-voltage contact cabinet operation data, a plurality of groups of historical low-voltage contact cabinet operation data acquisition units and a control unit, wherein each group of historical low-voltage contact cabinet operation data comprises an operation state and at least one type of operation parameter;
a data classification module: the system comprises a plurality of groups of historical low-voltage cabinet operation data, a plurality of groups of historical low-voltage cabinet operation data and a plurality of groups of historical low-voltage cabinet operation data, wherein the groups of historical low-voltage cabinet operation data are classified according to the operation states, and the groups of historical low-voltage cabinet operation data comprise historical low-voltage cabinet operation data with normal operation states and abnormal historical;
a numerical range calculation module: the numerical range of each operating parameter in the historical low-voltage contact cabinet operating data with normal operating state and the historical low-voltage contact cabinet operating data with abnormal operating state is respectively obtained;
a data feature extraction module: the data characteristic of the historical low-voltage cabinet operation data is extracted according to the normal numerical range of each operation parameter in the operation state and the abnormal numerical range of each operation parameter in the operation state; the data characteristics comprise a numerical value increment range from the normal running state to the abnormal running state of each running parameter;
a model construction module: for constructing the data analysis model from the data features.
Further, according to the normal numerical range of each operation parameter in the operation state and the abnormal numerical range in the operation state, extracting the data characteristics of the operation data of the historical low-voltage cabinet, including:
calculating a difference range between a normal numerical range of each operation parameter in an operation state and an abnormal numerical range of each operation parameter in the operation state, wherein the difference range is a data characteristic and is defined as a numerical increment range;
constructing a data analysis model as Y ═ X1+Xd1，X2+Xd2，……，Xi+XdiIn which Y is a data analysis model, XiDenotes different operating parameters, XdiA range of numerical increments corresponding to the operating parameter is indicated.
Further, the method also comprises the following steps:
unlocking instruction receiving module: the unlocking method comprises the steps that when the switching device is determined to be locked, an unlocking instruction of a user is received, wherein the unlocking instruction comprises identity information and operation requirements of the user; the operation requirement comprises the model of the equipment to be overhauled;
an instruction verification module: and the device is used for matching the model of the equipment to be overhauled when the identity information is verified to be legal, and controlling the switch equipment to unlock when the identity information is matched with the model of the equipment to be overhauled.
Further, the operation data of the low-voltage communication cabinet comprises one or more of temperature data in the cabinet, temperature data outside the cabinet, humidity data in the cabinet, humidity data outside the cabinet, air pressure in the cabinet, air pressure outside the cabinet and power parameter data in the cabinet.
In a third aspect, an embodiment of the present application provides a computer device, including: a memory and one or more processors;
the memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method for anti-misoperation based on locking as described in the first aspect.
In a fourth aspect, embodiments of the present application provide a storage medium containing computer-executable instructions for performing the method of the first aspect when executed by a computer processor.
This application embodiment is through gathering low pressure contact cabinet operation relevant all kinds of data to carry out the result output of running state through the data analysis model established in advance, combine the state of locking of running state's result matching control switch device, intelligently combine all kinds of parameter control switch device to lock, prevent to be gone into by personnel's mistake and maloperation in low pressure contact cabinet normal operating, avoid bringing unnecessary economic loss.
Drawings
FIG. 1 is a flow chart of a method for preventing misoperation based on locking according to an embodiment of the present application;
FIG. 2 is a flow chart of another method for preventing misoperation based on locking provided by the embodiment of the application;
fig. 3 is a schematic structural diagram of a cable monitoring device based on a smart device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, specific embodiments of the present application will be described in detail with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some but not all of the relevant portions of the present application are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
Example one
Fig. 1 shows a flowchart provided in an embodiment of the present application, and the method for preventing misoperation based on locking provided in the embodiment of the present application may be executed by a misoperation preventing device based on locking, which may be implemented by hardware and/or software and integrated in a computer device.
The following description will be given taking as an example a method of performing the lock-based erroneous operation prevention by the lock-based erroneous operation prevention apparatus. Referring to fig. 1, the method for preventing misoperation based on locking comprises the following steps:
s101: the method comprises the steps of collecting operation data of the low-voltage contact cabinet, inputting the operation data of the low-voltage contact cabinet into a preset data analysis model so as to output the current operation state of the low-voltage contact cabinet, wherein the operation state comprises normal and abnormal.
In the invention, the operation data of the low-voltage communication cabinet is collected, and the collection mode is used for detecting relevant parameters in real time through various sensing devices. In this embodiment, as a preferred implementation manner, the low-voltage communication cabinet operation data includes one or more of cabinet internal temperature data, cabinet external temperature data, cabinet internal humidity data, cabinet external humidity data, cabinet internal atmospheric pressure, cabinet external atmospheric pressure, and cabinet internal power parameter data.
And inputting any one or more combinations of the operation data of the low-voltage contact cabinet into a pre-established data analysis model, analyzing the data analysis model according to the characteristics of the operation data of the low-voltage contact cabinet, and outputting a corresponding operation state. That is, in the embodiment of the present invention, the data analysis model is used to help automatically confirm the current operation state of the low-voltage contact cabinet, so as to perform the subsequent action on the switch device.
The operation data can be one of the temperature data in the cabinet, the temperature data outside the cabinet, the humidity data in the cabinet, the humidity data outside the cabinet, the air pressure in the cabinet, the air pressure outside the cabinet and the power parameter data in the cabinet independently, namely, the operation data is acquired through the corresponding data, and the operation state is defined according to the numerical condition of the data. For example, the operation state of the low-voltage contact cabinet is judged according to the power parameter data in the cabinet when the power parameter data in the cabinet is detected.
In another embodiment, the operational data may include all of in-cabinet temperature data, out-cabinet temperature data, in-cabinet humidity data, out-cabinet humidity data, in-cabinet air pressure, out-cabinet air pressure, in-cabinet power parameter data. That is, the operation status is bound with the above-mentioned various data, and the lack is none. And judging according to the numerical conditions of the various data, and analyzing the current running state.
S102: and judging whether the operation state is normal or not, executing S103 when the operation state is normal, otherwise, directly controlling the switch equipment to unlock, maintaining the detection judgment of the step or returning to the previous step.
In this step, the result of the operation state has been directly output in the last step S101, and it can be directly and quickly known that the current operation state is normal or abnormal according to the output operation state. In this step, based on the previous step S101, the next operation S103 is performed when the operation state is normal.
S103: detecting a locked state of the switching device, the locked state including locking and unlocking, and performing S104 when it is determined that the switching device is unlocked, otherwise maintaining the locked state of the switching device.
S104: and when the switching equipment is determined to be unlocked, starting a locking process to lock the switching equipment.
In the embodiment of the invention, aiming at the condition that the running state is normal, the condition that the low-voltage communication cabinet is not abnormal at the moment is shown, and the switch equipment needs to be controlled to be locked without maintenance, so that the misoperation of the equipment by workers or other irrelevant personnel is prevented. For this purpose, in the embodiment of the present invention, when the operating state output from the data analysis model is normal, the locking state of the switchgear is checked, and if the current switchgear is in the locking state, the current state may be maintained, and if the current switchgear is in the unlocking state, the locking state of the switchgear should be controlled to be in the locking state by sending a command.
As a further implementable manner of this embodiment, the method may further include step S105 and step S106, where S105: when the switching equipment is determined to be locked, receiving an unlocking instruction of a user, wherein the unlocking instruction comprises identity information and operation requirements of the user; the operation requirement comprises the model of the equipment to be overhauled; s106: and when the identity information is verified to be legal, the model of the equipment to be overhauled is matched, and when the matching is consistent, the switch equipment is controlled to be unlocked.
S105 and S106 further perform corresponding actions when the switchgear is in the locked state. It should be noted that the latching state of the switching device here includes the current latching state of the switching device detected in step S103, and also includes the latching state after the latching process is started in S104 to latch the switching device.
When the switch equipment is in a locking state, the operation in the low-voltage interconnection cabinet is normal, no fault occurs, and personnel is not allowed to enter for operation under the conventional condition. However, the situation of regular maintenance and manual detection of the equipment exists, and when the switchgear is locked, a worker is required to actively send an unlocking request, and meanwhile, identity information, an operation requirement and an operation requirement are input, wherein the operation requirement can further comprise an operation type and the like besides the model of the equipment to be overhauled. Inputting the model of the equipment to be overhauled, helping a processor in the low-voltage contact cabinet to automatically match with the equipment in the cabinet to determine whether a machine or a component is consistent, if not, indicating that the user has the possibility of entering the equipment by mistake, and sending an alarm signal to remind the user of confirmation.
Example two
Fig. 2 shows a method for preventing misoperation based on locking according to another embodiment of the present invention, and as shown in fig. 2, the method for preventing misoperation based on locking includes the following steps:
s201, collecting operation data of a low-voltage contact cabinet, inputting the operation data of the low-voltage contact cabinet into a preset data analysis model to output the current operation state of the low-voltage contact cabinet, wherein the operation state comprises normal and abnormal;
s202, detecting the locking state of the switch equipment when the running state is normal, wherein the locking state comprises locking and unlocking;
and S203, starting a locking process to lock the switch device when the switch device is determined to be unlocked.
Steps S201 to S203 are the same as steps S101 to S104 in the first embodiment of the present invention, and are not described again in this embodiment.
Based on above-mentioned S201 to S203, through gathering low pressure contact cabinet operation relevant all kinds of data to carry out the result output of running state through the data analysis model who establishes in advance, combine running state 'S result to match the state of locking of control switchgear, intelligent combination all kinds of parameter control switchgear locks, prevent to be gone into by personnel' S mistake and maloperation when low pressure contact cabinet normal operating, avoid bringing unnecessary economic loss.
In this embodiment, as an improved implementation manner, in step S202, when it is determined that the switch device is locked according to the detection of the locked state of the switch device, further operations are performed, including the following steps:
s204: external touch data is received from the switching device when the switching device is latched.
S205: and controlling an alarm device to alarm according to the external touch data.
In step S204, external touch data may be collected through a sensing element, such as a touch sensor, a human proximity switch, or a human sensing switch lamp, disposed on the switch device or a carrier on which the switch device is mounted, and the implementation of data, such as data that a human approaches or touches a human, by disposing the sensing element on one carrier is already a mature technology in the prior art, and this embodiment separately improves this technology, so this embodiment does not limit the manner of implementing detection of touch data.
As in the first embodiment, when the switchgear is in the locked state, it indicates that the operation in the low-voltage interconnection cabinet is normal, and no fault occurs, the personnel is not allowed to enter for operation under the normal condition. Therefore, when a human body is detected to be close to the low-voltage contact cabinet, an alarm signal is output in time to remind people. The alarm modes comprise audible and visual alarm, display of characters and the like, remote transmission of information to workers in charge of the low-voltage contact cabinet and the like.
Further, in this embodiment, the preset data analysis model described in S201 is constructed by:
the method comprises the steps of obtaining a plurality of groups of historical low-voltage contact cabinet operation data, wherein each group of historical low-voltage contact cabinet operation data comprises an operation state and at least one type of operation parameter.
And classifying a plurality of groups of historical low-voltage cabinet operation data according to the operation state, wherein the groups of historical low-voltage cabinet operation data comprise historical low-voltage cabinet operation data with normal operation state and abnormal historical low-voltage cabinet operation data.
And respectively acquiring the numerical range of each operating parameter in the historical low-voltage contact cabinet operating data in the normal operating state and the historical low-voltage contact cabinet operating data in the abnormal operating state.
Extracting data characteristics of the historical low-voltage cabinet operation data according to the normal numerical range of each operation parameter in the operation state and the abnormal numerical range of each operation parameter in the operation state; the data characteristic includes a range of numerical increments for each operating parameter from a normal operating condition to an abnormal operating condition.
And constructing the data analysis model according to the data characteristics.
Specifically, according to the normal numerical range of each operation parameter in the operation state and the abnormal numerical range in the operation state, the data characteristics of the operation data of the historical low-voltage cabinet are extracted, and the method comprises the following steps:
calculating a difference range between a normal numerical range of each operation parameter in an operation state and an abnormal numerical range of each operation parameter in the operation state, wherein the difference range is a data characteristic and is defined as a numerical increment range;
constructing a data analysis model as Y ═ X1+Xd1，X2+Xd2，……，Xi+XdiIn which Y is a data analysis model, XiDenotes different operating parameters, XdiA range of numerical increments corresponding to the operating parameter is indicated.
For example, 100 groups of historical low-voltage cabinet operation data are selected, some of the 100 groups of historical low-voltage cabinet operation data correspond to the low-voltage communication cabinet which is abnormally operated and has a fault, and some of the 100 groups of historical low-voltage cabinet operation data correspond to the low-voltage communication cabinet which is normally operated and has no fault. 100 groups of historical low-voltage cabinet operation data are classified into two types according to abnormal operation or normal operation. For example, 50 groups of historical low-voltage cabinet operation data which operate normally and 50 groups of historical low-voltage cabinet operation data which operate abnormally are total, wherein 30 groups of the 50 groups of historical low-voltage cabinet operation data which operate normally comprise voltage data, each numerical value of the 30 groups of voltage data is obtained to form a data range, and for example, the lower limit and the upper limit of the data range are A and B; and obtaining 25 groups of voltage data from the 50 groups of historical low-voltage cabinet operation data with abnormal operation, obtaining each value of the 25 groups of voltage data to form another data range, wherein the lower limit a and the upper limit B of the data range are calculated as a-A and B-B, and thus obtaining a value increment range. And constructing the data analysis model according to the data characteristics. That is, when the subsequently input operation data is compared with the set normal operation data, whether the difference value meets the numerical increment range or not is judged, and whether the operation is normal or not is judged. The set normal operation data can be extracted from historical low-voltage cabinet operation data which operate normally. Of course, the upper limit of the numerical increment range can be set to be infinite, and the operation is abnormal only if the operation data of the low-voltage cabinet meets the lower limit value of the numerical increment range.
EXAMPLE III
As shown in fig. 3, an embodiment of the present application provides a locking-based anti-misoperation device, including:
301. a data acquisition module: the low-voltage contact cabinet operation data acquisition module is used for acquiring the low-voltage contact cabinet operation data, inputting the low-voltage contact cabinet operation data into a preset data analysis model, and outputting the current operation state of the low-voltage contact cabinet, wherein the operation state comprises normal and abnormal;
302. the switch state detection module: the locking device is used for detecting the locking state of the switch equipment when the operation state is normal, wherein the locking state comprises locking and unlocking;
303. a locking flow starting module: and starting a locking process to lock the switch device when the switch device is determined to be unlocked.
Further, the method can also comprise the following steps:
304. a touch data acquisition module: receiving external touch data from the switching device when the switching device is latched;
305. the equipment alarm module: and the alarm device is used for controlling alarm equipment to alarm according to the external touch data.
Correspondingly, the preset data analysis model is constructed by the following devices:
a historical data acquisition module: the system comprises a plurality of groups of historical low-voltage contact cabinet operation data, a plurality of groups of historical low-voltage contact cabinet operation data acquisition units and a control unit, wherein each group of historical low-voltage contact cabinet operation data comprises an operation state and at least one type of operation parameter;
a data classification module: the system comprises a plurality of groups of historical low-voltage cabinet operation data, a plurality of groups of historical low-voltage cabinet operation data and a plurality of groups of historical low-voltage cabinet operation data, wherein the groups of historical low-voltage cabinet operation data are classified according to the operation states, and the groups of historical low-voltage cabinet operation data comprise historical low-voltage cabinet operation data with normal operation states and abnormal historical;
a numerical range calculation module: the numerical range of each operating parameter in the historical low-voltage contact cabinet operating data with normal operating state and the historical low-voltage contact cabinet operating data with abnormal operating state is respectively obtained;
a data feature extraction module: the data characteristic of the historical low-voltage cabinet operation data is extracted according to the normal numerical range of each operation parameter in the operation state and the abnormal numerical range of each operation parameter in the operation state; the data characteristics comprise a numerical value increment range from the normal running state to the abnormal running state of each running parameter;
a model construction module: for constructing the data analysis model from the data features.
The data characteristics of the historical low-voltage cabinet operation data are extracted according to the normal numerical range of each operation parameter in the operation state and the abnormal numerical range of each operation parameter in the operation state, and the data characteristics comprise: calculating a difference range between a normal numerical range of each operation parameter in an operation state and an abnormal numerical range of each operation parameter in the operation state, wherein the difference range is a data characteristic and is defined as a numerical increment range; constructing a data analysis model as Y ═ X1+Xd1，X2+Xd2，……，Xi+XdiIn which Y is a data analysis model, XiDenotes different operating parameters, XdiA range of numerical increments corresponding to the operating parameter is indicated.
Example four
An embodiment of the present application further provides a computer device, including: a memory and one or more processors; the memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method for anti-misoperation based on locking as described in the first aspect.
EXAMPLE five
Embodiments of the present application further provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform the method for preventing misoperation based on locking provided in the foregoing embodiments, where the method for preventing misoperation based on locking includes: collecting operation data of a low-voltage contact cabinet, and inputting the operation data of the low-voltage contact cabinet into a preset data analysis model so as to output the current operation state of the low-voltage contact cabinet, wherein the operation state comprises normal and abnormal; when the operation state is normal, detecting the locking state of the switch equipment, wherein the locking state comprises locking and unlocking; and when the switching equipment is determined to be unlocked, starting a locking process to lock the switching equipment.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network (such as the internet). The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations, such as in different computer systems that are connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium provided in the embodiments of the present application contains computer-executable instructions, and the computer-executable instructions are not limited to the method for preventing misoperation based on locking described above, and may also perform related operations in the method for preventing misoperation based on locking provided in any embodiment of the present application.
The cable monitoring device, the apparatus and the storage medium based on the smart device provided in the foregoing embodiments may perform the cable monitoring method based on the smart device provided in any embodiment of the present application, and refer to the cable monitoring method based on the smart device provided in any embodiment of the present application without detailed technical details described in the foregoing embodiments.
The foregoing is considered as illustrative of the preferred embodiments of the invention and the technical principles employed. The present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the claims.
Claims (10)
1. The anti-misoperation method based on locking is characterized by comprising the following steps:
collecting operation data of a low-voltage contact cabinet, and inputting the operation data of the low-voltage contact cabinet into a preset data analysis model so as to output the current operation state of the low-voltage contact cabinet, wherein the operation state comprises normal and abnormal;
when the operation state is normal, detecting the locking state of the switch equipment, wherein the locking state comprises locking and unlocking;
and when the switching equipment is determined to be unlocked, starting a locking process to lock the switching equipment.
2. The method of claim 1,
receiving external touch data from the switching device when the switching device is latched;
and controlling an alarm device to alarm according to the external touch data.
3. The anti-misoperation method according to claim 2, wherein the preset data analysis model is constructed by:
the method comprises the steps that a plurality of groups of historical low-voltage contact cabinet operation data are obtained, wherein each group of historical low-voltage contact cabinet operation data comprises an operation state and at least one type of operation parameter;
classifying a plurality of groups of historical low-voltage cabinet operation data according to the operation state, wherein the groups of historical low-voltage cabinet operation data comprise historical low-voltage cabinet operation data with normal operation state and abnormal historical low-voltage cabinet operation data;
respectively acquiring the numerical range of each operating parameter in the historical low-voltage contact cabinet operating data with normal operating state and the historical low-voltage contact cabinet operating data with abnormal operating state;
extracting data characteristics of the historical low-voltage cabinet operation data according to the normal numerical range of each operation parameter in the operation state and the abnormal numerical range of each operation parameter in the operation state; the data characteristics comprise a numerical value increment range from the normal running state to the abnormal running state of each running parameter;
and constructing the data analysis model according to the data characteristics.
4. The anti-misoperation method according to claim 3, wherein the data characteristics of the historical low-voltage cabinet operation data are extracted according to the normal value range and the abnormal value range of each operation parameter in the operation state, and the method comprises the following steps:
calculating a difference range between a normal numerical range of each operation parameter in an operation state and an abnormal numerical range of each operation parameter in the operation state, wherein the difference range is a data characteristic and is defined as a numerical increment range;
constructing a data analysis model as Y ═ X1+Xd1，X2+Xd2，……，Xi+XdiIn which Y is a data analysis model, XiDenotes different operating parameters, XdiA range of numerical increments corresponding to the operating parameter is indicated.
5. The method of claim 1, further comprising:
when the switching equipment is determined to be locked, receiving an unlocking instruction of a user, wherein the unlocking instruction comprises identity information and operation requirements of the user; the operation requirement comprises the model of the equipment to be overhauled;
and when the identity information is verified to be legal, the model of the equipment to be overhauled is matched, and when the matching is consistent, the switch equipment is controlled to be unlocked.
6. The method for preventing misoperation according to claim 1, wherein the low-voltage communication cabinet operation data comprises one or more of cabinet internal temperature data, cabinet external temperature data, cabinet internal humidity data, cabinet external humidity data, cabinet internal air pressure, cabinet external air pressure and cabinet internal power parameter data.
7. A lockout based anti-tamper apparatus comprising:
a data acquisition module: the low-voltage contact cabinet operation data acquisition module is used for acquiring the low-voltage contact cabinet operation data, inputting the low-voltage contact cabinet operation data into a preset data analysis model, and outputting the current operation state of the low-voltage contact cabinet, wherein the operation state comprises normal and abnormal;
the switch state detection module: the locking device is used for detecting the locking state of the switch equipment when the operation state is normal, wherein the locking state comprises locking and unlocking;
a locking flow starting module: and starting a locking process to lock the switch device when the switch device is determined to be unlocked.
8. The anti-misoperation device of claim 7, further comprising:
a touch data acquisition module: receiving external touch data from the switching device when the switching device is latched;
the equipment alarm module: and the alarm device is used for controlling alarm equipment to alarm according to the external touch data.
9. A computer device, comprising: a memory and one or more processors;
the memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method of anti-misoperation based on locking as claimed in any one of claims 1 to 7.
10. A storage medium containing computer-executable instructions for performing the method of any of claims 1-7 when executed by a computer processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110248290.1A CN112966379B (en) | 2021-03-07 | 2021-03-07 | Misoperation prevention method and device based on locking |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110248290.1A CN112966379B (en) | 2021-03-07 | 2021-03-07 | Misoperation prevention method and device based on locking |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112966379A true CN112966379A (en) | 2021-06-15 |
| CN112966379B CN112966379B (en) | 2023-05-23 |
Family
ID=76276754
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110248290.1A Active CN112966379B (en) | 2021-03-07 | 2021-03-07 | Misoperation prevention method and device based on locking |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112966379B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN205070179U (en) * | 2015-11-05 | 2016-03-02 | 青岛鲁能恒源高新电气有限公司 | Electric blocking device of electric power low -voltage switchgear |
| CN107679649A (en) * | 2017-09-13 | 2018-02-09 | 珠海格力电器股份有限公司 | A kind of failure prediction method of electrical equipment, device, storage medium and electrical equipment |
| CN110459421A (en) * | 2019-08-26 | 2019-11-15 | 国网新疆电力有限公司阿勒泰供电公司 | Low pressure with misoperation-proof locking device is spaced apart switch |
| CN110474429A (en) * | 2019-09-11 | 2019-11-19 | 珠海优特电力科技股份有限公司 | Power distribution network power transmission Interlocking Methods and system |
| CN111340287A (en) * | 2020-02-24 | 2020-06-26 | 清华大学 | Power distribution cabinet operation state prediction method and device |
| CN111444168A (en) * | 2020-03-26 | 2020-07-24 | 易电务(北京)科技有限公司 | Distribution room transformer daily maximum load abnormal data detection processing method |
| CN111585177A (en) * | 2020-04-30 | 2020-08-25 | 广东电网有限责任公司广州供电局 | Anti-misoperation locking device, system, method and power distribution system |
| CN112421612A (en) * | 2020-11-03 | 2021-02-26 | 北京科东电力控制系统有限责任公司 | Medium-voltage main line branch line analysis method based on distribution network operation state |
-
2021
- 2021-03-07 CN CN202110248290.1A patent/CN112966379B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN205070179U (en) * | 2015-11-05 | 2016-03-02 | 青岛鲁能恒源高新电气有限公司 | Electric blocking device of electric power low -voltage switchgear |
| CN107679649A (en) * | 2017-09-13 | 2018-02-09 | 珠海格力电器股份有限公司 | A kind of failure prediction method of electrical equipment, device, storage medium and electrical equipment |
| CN110459421A (en) * | 2019-08-26 | 2019-11-15 | 国网新疆电力有限公司阿勒泰供电公司 | Low pressure with misoperation-proof locking device is spaced apart switch |
| CN110474429A (en) * | 2019-09-11 | 2019-11-19 | 珠海优特电力科技股份有限公司 | Power distribution network power transmission Interlocking Methods and system |
| CN111340287A (en) * | 2020-02-24 | 2020-06-26 | 清华大学 | Power distribution cabinet operation state prediction method and device |
| CN111444168A (en) * | 2020-03-26 | 2020-07-24 | 易电务(北京)科技有限公司 | Distribution room transformer daily maximum load abnormal data detection processing method |
| CN111585177A (en) * | 2020-04-30 | 2020-08-25 | 广东电网有限责任公司广州供电局 | Anti-misoperation locking device, system, method and power distribution system |
| CN112421612A (en) * | 2020-11-03 | 2021-02-26 | 北京科东电力控制系统有限责任公司 | Medium-voltage main line branch line analysis method based on distribution network operation state |
Non-Patent Citations (1)
| Title |
|---|
| 林建新等: "配电网综合防误全面解决方案", 《供用电》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112966379B (en) | 2023-05-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106338928B (en) | Inlet/outlet condition detection method and device | |
| CN107492952A (en) | A kind of regulation and control center alarm signal analysis method and the intelligent warning system based on it | |
| CN111293784B (en) | Temporary power utilization system for construction site | |
| CN111524306A (en) | Centralized monitoring system for power environment of machine room | |
| CN106529683A (en) | Method for calculating error rate of alarm | |
| CN108988487B (en) | Power grid power failure event identification method based on multidimensional data | |
| US9423780B2 (en) | Handheld device for preventing misoperations in an electric power system | |
| CN114881808B (en) | Big data-based accurate identification method for electric power larceny and electric power larceny prevention system | |
| CN112947172A (en) | Intelligent fire-fighting remote monitoring system and method for park | |
| CN112333142A (en) | Intelligent equipment detection system and detection method thereof | |
| CN109461235B (en) | Electricity testing unlocking method | |
| CN112803581B (en) | Intelligent power supply control method, system and device for low-voltage contact cabinet | |
| CN112966379A (en) | Anti-misoperation method and device based on locking | |
| CN103530965B (en) | Supermarket remote shelf monitor burglary-resisting system and method for work thereof | |
| CN112965990A (en) | Low-voltage contact cabinet fault solution generation method and device | |
| CN112415330A (en) | Power grid fault intelligent identification method and system based on wide area information | |
| CN115664026A (en) | Anti-misoperation method for screen cabinet and real-time monitoring system | |
| CN112217282B (en) | Control method and control system for power supply office machine room | |
| CN106549493B (en) | Transformer substation anti-misoperation unlocking control device and control method | |
| CN109861393B (en) | Processing method for preventing error locking and execution terminal | |
| CN201040964Y (en) | Electrical power system five-proof unlocking key keeping device | |
| CN112489260A (en) | Anti-misoperation locking system and method | |
| JP4514691B2 (en) | Supervisory control system and method | |
| EP2450820B1 (en) | User authentication system and plant control system having user authentication system | |
| CN112255481A (en) | Target equipment anti-error detection method and device, storage medium and electronic device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |