CN111639769A - Monitoring equipment remote maintenance method and device and electronic equipment - Google Patents
Monitoring equipment remote maintenance method and device and electronic equipment Download PDFInfo
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Abstract
The invention discloses a monitoring equipment remote maintenance method and device and electronic equipment. When the scheme is applied, the running state of the monitoring equipment in the target area is obtained, the abnormal information of the monitoring equipment is further obtained according to the working state form corresponding to the running state of the monitoring equipment, the correlation coefficient between the running state of the monitoring equipment and the abnormal information is matched according to the working state form, the correlation coefficient is compared with the preset abnormal coefficient to obtain the abnormal fault information table, and the abnormal fault information table is sent to the server. Therefore, when the monitoring equipment in the target area breaks down, the monitoring equipment in the target area can be subjected to troubleshooting and maintenance in time, and the troubleshooting result is uploaded to the server at the same time, so that the maintenance cost is reduced, and the data loss is avoided.
Description
Technical Field
The present disclosure relates to the field of video surveillance technologies, and in particular, to a method and an apparatus for remote maintenance of a monitoring device, and an electronic device.
Background
With the deep application and development of the mobile internet technology, people have more and more abundant requirements on smart life, and the modern society rapidly develops towards the smart internet of things era. At present, the video monitoring technology is widely applied to the fields of road traffic, national defense safety, monitoring area protection, forest fire prevention and the like.
When a target area is installed at a remote place, if the target area is in trouble, a maintenance worker is required to go to the site for troubleshooting and maintenance in the conventional maintenance method, which results in an increase in maintenance cost. When the monitoring equipment in the target area fails, the maintenance personnel cannot perform troubleshooting and maintenance in time, which may cause data loss during the failure of the target area.
Disclosure of Invention
In order to solve the technical problems in the related art, the present disclosure provides a monitoring device remote maintenance method, an apparatus and an electronic device.
The invention provides a remote maintenance method of monitoring equipment, which comprises the following steps:
acquiring the running state of monitoring equipment in a target area, and calculating a working state form corresponding to the running state of the monitoring equipment, wherein the running state of the monitoring equipment is the running state which changes when the monitoring equipment in the target area runs;
acquiring abnormal information acquired by the monitoring equipment, and matching a correlation coefficient between the running state of the monitoring equipment and the abnormal information according to the working state form;
if the correlation coefficient between the running state of the monitoring equipment and the abnormal information is different from a preset abnormal coefficient, obtaining an abnormal state information form according to the abnormal information acquired by the monitoring equipment and the working state form;
summarizing the abnormal information into an abnormal state information unit, setting the abnormal state information unit as a target abnormal state information unit, and performing information matching with at least one preset monitoring device matching information by taking the target area as a monitoring unit to obtain a target state matching result;
classifying the target state matching results according to the abnormal state information sheet to obtain current state matching results, namely, adding the consideration of the running state of the monitoring equipment, and classifying the target state matching results to obtain state matching results arranged according to the emergency degree, namely, the current state matching results;
determining a real-time monitoring area corresponding to the current state matching result and the abnormal state information unit, matching parameter change information in the real-time monitoring area with the abnormal information to obtain an abnormal fault information table, and sending the abnormal fault information table to a server;
and if the correlation coefficient between the running state of the monitoring equipment and the abnormal information is the same as the preset abnormal coefficient, determining the target state matching result and the actual state matching result of the abnormal state information unit, matching parameter change information in the actual state matching result with the abnormal information to obtain an abnormal fault information table, and sending the abnormal fault information table to a server.
In an alternative embodiment, obtaining an abnormal state information form according to the abnormal information collected by the monitoring device and the working state form specifically includes:
determining target environment parameters corresponding to a monitoring area acquired by monitoring equipment and a working state form of the monitoring area, wherein the working state form represents working information of the monitoring area acquired by the monitoring equipment; the working state form at least comprises: fault information and alarm information of a monitoring area acquired by the monitoring equipment are represented;
acquiring a preset parameter database corresponding to the target environment parameter, wherein the preset parameter database comprises a working state form corresponding to the preset parameter database, and the working state form corresponding to the parameter database represents working information of a monitoring area corresponding to the target environment parameter in the parameter database; the working state form corresponding to the parameter database at least comprises: fault information and alarm information of a monitoring area corresponding to the environmental parameters contained in the parameter database are represented;
and searching an abnormal state information form matched with the monitoring equipment acquisition in the parameter database according to the fault information and the alarm information of the monitoring area and the working state form which are obtained by the target environment parameters.
In an alternative embodiment, determining a real-time monitoring area corresponding to the current state matching result and the abnormal state information unit, and matching parameter change information in the real-time monitoring area with the abnormal information to obtain an abnormal fault information table specifically includes:
classifying the parameter change information in the real-time monitoring area according to a set mode to obtain a classification result;
acquiring preset target monitoring equipment, classifying parameter change information of the target monitoring equipment into detection information of monitoring equipment to be detected while classifying the parameter change information of the target monitoring equipment according to a set mode;
adjusting the detection information according to the priority of the detection sequence, and mapping the current detection information obtained after adjustment as additional information to the subsequent classification result of the target monitoring equipment of the parameter change information corresponding to the detection information;
and matching the classification result mapped with the additional information with the abnormal information to obtain an abnormal fault information table.
In an alternative embodiment, the determining the target state matching result and the actual state matching result of the abnormal state information unit, and matching the parameter change information in the actual state matching result with the abnormal information to obtain an abnormal fault information table, where the specific content includes:
screening out characteristic information from the abnormal information;
the types of the arranged characteristic information are used for generating a characteristic information classification table; the characteristic information classification table is a fault type table, each table corresponds to one fault type, each fault type has at least one fault value, and each table of the characteristic information classification table has a priority relation of execution emergency degree;
extracting equipment information of equipment to be detected; extracting a fault value in at least one characteristic information classification table contained in the equipment information of the equipment to be detected;
determining the corresponding relation between the feature information and the feature information classification table, and generating a current feature information set according to the corresponding relation; generating a current feature information set according to the corresponding relation, wherein the generating of the current feature information set according to the corresponding relation comprises the following steps: determining each characteristic information as a reference value of the equipment fault state; respectively generating at least one equipment fault state corresponding to the reference value of each equipment fault state; acquiring the non-repeated equipment fault states of the characteristic information to form an equipment fault state set; comparing each equipment fault state in the equipment fault state set with the characteristic information classification table to obtain a current characteristic information set;
performing cycle traversal on the fault values contained in the equipment information of the equipment to be detected and the fault values in the current characteristic information set; in the process of circulating traversal, if all fault values of one equipment fault state are contained in the equipment information of the equipment to be detected, recording the equipment fault state as the abnormal fault state of the equipment to be detected;
and determining the target state matching result and the actual state matching result of the abnormal fault state, and matching parameter change information in the actual state matching result with each abnormal fault state of the equipment to be detected to obtain the abnormal fault information table.
The invention also provides a remote maintenance device for the monitoring equipment, which comprises:
the monitoring device comprises a state acquisition module, a state calculation module and a state calculation module, wherein the state acquisition module is used for acquiring the running state of monitoring equipment in a target area and calculating a working state form corresponding to the running state of the monitoring equipment, and the running state of the monitoring equipment is the running state of the monitoring equipment in the target area, which changes during running;
the information acquisition module is used for acquiring abnormal information acquired by the monitoring equipment and matching the correlation coefficient between the running state of the monitoring equipment and the abnormal information according to the working state form;
the first coefficient comparison module is used for obtaining an abnormal state information form according to the abnormal information acquired by the monitoring equipment and the working state form if the correlation coefficient between the running state of the monitoring equipment and the abnormal information is different from a preset abnormal coefficient;
the information summarizing module is used for summarizing the abnormal information into an abnormal state information unit, setting the abnormal state information unit as a target abnormal state information unit, and performing information matching with at least one preset monitoring device matching information by taking the target area as a monitoring unit to obtain a target state matching result;
a result classification module, configured to classify the target state matching result according to the abnormal state information form to obtain a current state matching result, that is, to add consideration to an operation state of the monitoring device, and classify the target state matching result, so as to obtain state matching results arranged according to an emergency degree, that is, the current state matching result;
the fault determining module is used for determining a real-time monitoring area corresponding to the current state matching result and the abnormal state information unit, matching parameter change information in the real-time monitoring area with the abnormal information to obtain an abnormal fault information table, and sending the abnormal fault information table to a server;
and the second coefficient comparison module is used for determining the target state matching result and the actual state matching result of the abnormal state information unit if the correlation coefficient between the running state of the monitoring equipment and the abnormal information is the same as the preset abnormal coefficient, matching parameter change information in the actual state matching result with the abnormal information to obtain an abnormal fault information table, and sending the abnormal fault information table to a server.
In an alternative embodiment, the first coefficient comparing module is specifically configured to:
determining target environment parameters corresponding to a monitoring area acquired by monitoring equipment and a working state form of the monitoring area, wherein the working state form represents working information of the monitoring area acquired by the monitoring equipment; the working state form at least comprises: fault information and alarm information of a monitoring area acquired by the monitoring equipment are represented;
acquiring a preset parameter database corresponding to the target environment parameter, wherein the preset parameter database comprises a working state form corresponding to the preset parameter database, and the working state form corresponding to the parameter database represents working information of a monitoring area corresponding to the target environment parameter in the parameter database; the working state form corresponding to the parameter database at least comprises: fault information and alarm information of a monitoring area corresponding to the environmental parameters contained in the parameter database are represented;
and searching an abnormal state information form matched with the monitoring equipment acquisition in the parameter database according to the fault information and the alarm information of the monitoring area and the working state form which are obtained by the target environment parameters.
In an alternative embodiment, the fault determination module is specifically configured to:
classifying the parameter change information in the real-time monitoring area according to a set mode to obtain a classification result;
acquiring preset target monitoring equipment, classifying parameter change information of the target monitoring equipment into detection information of monitoring equipment to be detected while classifying the parameter change information of the target monitoring equipment according to a set mode;
adjusting the detection information according to the priority of the detection sequence, and mapping the current detection information obtained after adjustment as additional information to the subsequent classification result of the target monitoring equipment of the parameter change information corresponding to the detection information;
and matching the classification result mapped with the additional information with the abnormal information to obtain an abnormal fault information table.
In an alternative embodiment, the second coefficient comparing module is specifically configured to:
screening out characteristic information from the abnormal information;
the types of the arranged characteristic information are used for generating a characteristic information classification table; the characteristic information classification table is a fault type table, each table corresponds to one fault type, each fault type has at least one fault value, and each table of the characteristic information classification table has a priority relation of execution emergency degree;
extracting equipment information of equipment to be detected; extracting a fault value in at least one characteristic information classification table contained in the equipment information of the equipment to be detected;
determining the corresponding relation between the feature information and the feature information classification table, and generating a current feature information set according to the corresponding relation; generating a current feature information set according to the corresponding relation, wherein the generating of the current feature information set according to the corresponding relation comprises the following steps: determining each characteristic information as a reference value of the equipment fault state; respectively generating at least one equipment fault state corresponding to the reference value of each equipment fault state; acquiring the non-repeated equipment fault states of the characteristic information to form an equipment fault state set; comparing each equipment fault state in the equipment fault state set with the characteristic information classification table to obtain a current characteristic information set;
performing cycle traversal on the fault values contained in the equipment information of the equipment to be detected and the fault values in the current characteristic information set; in the process of circulating traversal, if all fault values of one equipment fault state are contained in the equipment information of the equipment to be detected, recording the equipment fault state as the abnormal fault state of the equipment to be detected;
and determining the target state matching result and the actual state matching result of the abnormal fault state, and matching parameter change information in the actual state matching result with each abnormal fault state of the equipment to be detected to obtain the abnormal fault information table.
The invention also provides an electronic device, which comprises a processor, a memory and a bus, wherein the memory and the bus are connected with the processor; wherein, the processor and the memory complete mutual communication through the bus; the processor is used for calling the program instructions in the memory so as to execute the method.
The invention also provides a readable storage medium on which a program is stored which, when executed by a processor, implements the method described above.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects.
The invention provides a monitoring equipment remote maintenance method, a monitoring equipment remote maintenance device and electronic equipment. And if the correlation coefficient is different from the abnormal coefficient, matching the parameter change information with the abnormal information to obtain an abnormal fault information table, and sending the abnormal fault information table to the server. Therefore, when the monitoring equipment in the target area breaks down, the monitoring equipment in the target area can be subjected to troubleshooting and maintenance in time, and the troubleshooting result is uploaded to the server at the same time, so that the maintenance cost can be reduced, and data loss is avoided.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a schematic communication connection diagram of a monitoring device remote maintenance system according to an embodiment of the present invention.
Fig. 2 is a flowchart of a method for remote maintenance of a monitoring device according to an embodiment of the present invention.
Fig. 3 is a block diagram of a monitoring device remote maintenance apparatus according to an embodiment of the present invention.
Fig. 4 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
Fig. 1 shows a schematic communication architecture of a monitoring device remote maintenance system 500, the monitoring device remote maintenance system 500 comprising an electronic device 200, a monitoring device 300 and a server 400, wherein the electronic device 200 is in communication with the monitoring device 300 and the server 400. In this embodiment, the electronic device 200 may be a notebook computer or a desktop computer, the monitoring device 300 may be a camera, and the server 400 may be a database, such as a mysql database.
Fig. 2 is a flowchart of a monitoring device remote maintenance method according to the present disclosure, which may be applied to the electronic device 200 in fig. 1, and which may include the following.
Step S110, acquiring the running state of the monitoring equipment in the target area, and calculating a working state form corresponding to the running state of the monitoring equipment, wherein the running state of the monitoring equipment is the running state of the monitoring equipment in the target area which changes during running.
And step S120, acquiring abnormal information acquired by the monitoring equipment, and matching the correlation coefficient between the running state of the monitoring equipment and the abnormal information according to the working state form.
Step S130, if the correlation coefficient between the running state of the monitoring device and the abnormal information is different from a preset abnormal coefficient, obtaining an abnormal state information form according to the abnormal information collected by the monitoring device and the working state form.
Step S140, summarizing the abnormal information into an abnormal state information unit, setting the abnormal state information unit as a target abnormal state information unit, and performing information matching with at least one preset monitoring device matching information by taking the target area as a monitoring unit to obtain a target state matching result.
Step S150, classifying the target state matching results according to the abnormal state information sheet to obtain current state matching results, namely, adding the consideration of the running state of the monitoring equipment, and classifying the target state matching results, thereby obtaining state matching results arranged according to the degree of urgency, namely, the current state matching results.
Step S160, determining a real-time monitoring area corresponding to the current state matching result and the abnormal state information unit, matching parameter change information in the real-time monitoring area with the abnormal information to obtain an abnormal fault information table, and sending the abnormal fault information table to a server.
Step S170, if the correlation coefficient between the running state of the monitoring device and the abnormal information is the same as the preset abnormal coefficient, determining the target state matching result and the actual state matching result of the abnormal state information unit, matching the parameter change information in the actual state matching result with the abnormal information to obtain an abnormal fault information table, and sending the abnormal fault information table to a server.
And executing the steps S110 to S170, further acquiring abnormal information of the monitoring device by acquiring the running state of the monitoring device in the target area, according to a working state form corresponding to the running state of the monitoring device, matching a correlation coefficient between the running state of the monitoring device and the abnormal information according to the working state form, comparing the correlation coefficient with a preset abnormal coefficient, if the correlation coefficient is different from the abnormal coefficient, generating an abnormal state information form according to the abnormal information and the working state form, further acquiring an abnormal fault information table of the target area according to the abnormal state information form, and simultaneously sending the abnormal fault information table to the server. And if the correlation coefficient is different from the abnormal coefficient, matching the parameter change information with the abnormal information to obtain an abnormal fault information table, and sending the abnormal fault information table to the server. Therefore, when the monitoring equipment in the target area breaks down, the monitoring equipment in the target area can be subjected to troubleshooting and maintenance in time, and the troubleshooting result is uploaded to the server at the same time, so that the maintenance cost can be reduced, and data loss is avoided.
In practical implementation, the abnormal state monitoring of the monitoring equipment is realized by removing the abnormal state and listing the abnormal state on site by maintenance personnel, so that an abnormal state information form is difficult to be quickly listed, and the effective monitoring of the monitoring equipment is realized. In order to solve the above problem, the content described in step S130 may specifically include the following sub-steps.
Step S1301, determining target environment parameters corresponding to a monitoring area acquired by monitoring equipment and a working state form of the monitoring area, wherein the working state form represents working information of the monitoring area acquired by the monitoring equipment; the working state form at least comprises: and indicating fault information and alarm information of the monitoring area acquired by the monitoring equipment.
Step S1302, acquiring a preset parameter database corresponding to the target environment parameter, wherein the preset parameter database comprises a working state form corresponding to the preset parameter database, and the working state form corresponding to the parameter database represents working information of a monitoring area corresponding to the target environment parameter and located in the parameter database; the working state form corresponding to the parameter database at least comprises: and fault information and alarm information of the monitoring area corresponding to the environmental parameters contained in the parameter database are represented.
Step S1303, according to the fault information and alarm information of the monitored area and the working state form obtained by the target environmental parameter, finding out an abnormal state information form matched with the monitoring device acquisition in the parameter database.
By executing the steps S1301 to S1303, the abnormal state information form matched with the monitoring device acquisition is searched in the parameter database according to the target environment parameter corresponding to the monitoring region acquired by the monitoring device, and further according to the fault information and alarm information of the monitoring region and the working state form acquired by the target environment parameter. Therefore, the abnormal state of the monitoring equipment can be determined, the abnormal state information form can be further listed quickly, and effective monitoring on the monitoring equipment is realized.
In practical implementation, in order to increase the speed of fault detection, the following sub-steps may be specifically included in step S160.
And S1601, classifying the parameter change information in the real-time monitoring area according to a set mode to obtain a classification result.
Step S1602, acquiring a preset target monitoring device, classifying the parameter change information of the target monitoring device according to a set manner, and classifying the parameter change information of the target monitoring device into detection information of a monitoring device to be detected.
Step S1603, adjusting the detection information according to the priority of the detection order, and mapping the current detection information obtained after adjustment as additional information to a subsequent classification result of the target monitoring device of the parameter change information corresponding to the detection information.
And step S1604, matching the classification result and the classification result mapped with the additional information with the abnormal information to obtain an abnormal fault information table.
By executing the above steps S1601 to S1604, the abnormal failure information table is obtained by performing failure matching on the target monitoring apparatuses in accordance with the priority of the detection order. Due to the design, the fault detection speed can be increased, and the normal operation of the monitoring equipment can be effectively guaranteed.
In practical implementation, in order to reduce the occurrence probability of the abnormal state, and thus effectively monitor the abnormal state of the monitoring device, the step S170 may specifically include the following sub-steps.
In step S1701, feature information is screened from the abnormality information.
Step 1702, arranging the types of the feature information to generate a feature information classification table; the characteristic information classification table is a fault type table, each table corresponds to one fault type, each fault type has at least one fault value, and each table of the characteristic information classification table has a priority relation of execution emergency degree.
Step S1703, extracting equipment information of the equipment to be detected; and extracting a fault value in at least one characteristic information classification table contained in the equipment information of the equipment to be detected.
Step S1704, determining the corresponding relation between the feature information and the feature information classification table, and generating a current feature information set according to the corresponding relation; generating a current feature information set according to the corresponding relation, wherein the generating of the current feature information set according to the corresponding relation comprises the following steps: determining each characteristic information as a reference value of the equipment fault state; respectively generating at least one equipment fault state corresponding to the reference value of each equipment fault state; acquiring the non-repeated equipment fault states of the characteristic information to form an equipment fault state set; and comparing each equipment fault state in the equipment fault state set with the characteristic information classification table to obtain a current characteristic information set.
Step S1705, performing cycle traversal on the fault values contained in the equipment information of the equipment to be detected and the fault values in the current characteristic information set; in the process of cycle traversal, if all fault values of one equipment fault state are contained in the equipment information of the equipment to be detected, the equipment fault state is recorded as the abnormal fault state of the equipment to be detected.
Step S1706, determining the target state matching result and the actual state matching result of the abnormal fault state, and matching parameter change information in the actual state matching result with each abnormal fault state of the device to be tested to obtain the abnormal fault information table.
By executing the above steps S1701 to S1706, the abnormal failure state is obtained by processing the abnormal information, the target state matching result and the actual state matching result of the abnormal failure state are further determined, and the parameter change information in the actual state matching result and the abnormal failure state are matched to obtain the abnormal failure information table. Therefore, the abnormal state of the monitoring equipment can be effectively monitored, the occurrence probability of the abnormal state is reduced, the monitoring cost is further reduced, and the working efficiency is improved.
Optionally, in a specific implementation, in order to accurately calculate the working state form corresponding to the operation state of the monitoring device, the calculation of the working state form corresponding to the operation state of the monitoring device described in step S110 may further include the following.
(1) And determining an operation state track from the operation state of the monitoring equipment, and comparing whether the operation state track in the operation state of the monitoring equipment is changed relative to the operation state track in the historical operation state of the monitoring equipment.
(2) And if the operation state track is changed, determining the operation state track determined from the operation state of the monitoring equipment as a working state form corresponding to the operation state of the monitoring equipment.
(3) If the running state track determined from the running state of the monitoring equipment does not change, performing weighted sum on a working state form at the overlapping position of the running state track and the historical running state, and determining a weighted sum result as the working state form of the running state of the monitoring equipment, wherein the method specifically comprises the following steps: acquiring whether the running state track in the historical running state changes relative to the running state track in the historical running state of the current running track state; and if the running state of the monitoring equipment changes, carrying out weighted sum on the running state track determined from the running state of the monitoring equipment and the target running state track at the overlapping position of the historical running state based on the result of the change factor to obtain a working state form corresponding to the running state of the monitoring equipment.
By executing the steps, determining the running state track from the running state of the monitoring equipment, comparing whether the running state track and the running state track in the historical running state change or not, and if not, weighting and summing the running state track and the working state form at the overlapping position of the historical running state to obtain the working state form. And if the target running state track is changed, weighting and summing the running state track and the target running state track at the overlapping position of the historical running states based on the result of the change factor to obtain a working form. In this way, the working state form corresponding to the running state of the monitoring device can be accurately calculated.
On the basis, please refer to fig. 3 in combination, the present invention provides a remote maintenance apparatus for monitoring equipment, which may specifically include the following functional modules.
The state obtaining module 110 is configured to obtain an operating state of a monitoring device in a target area, and calculate a working state form corresponding to the operating state of the monitoring device, where the operating state of the monitoring device is an operating state that changes when the monitoring device in the target area operates.
The information obtaining module 120 is configured to obtain the abnormal information collected by the monitoring device, and match a correlation coefficient between the running state of the monitoring device and the abnormal information according to the working state form.
A first coefficient comparing module 130, configured to, if a correlation coefficient between the running state of the monitoring device and the abnormal information is different from a preset abnormal coefficient, obtain an abnormal state information form according to the abnormal information collected by the monitoring device and the working state form.
The information summarizing module 140 is configured to summarize the abnormal information into an abnormal state information unit, set the abnormal state information unit as a target abnormal state information unit, and perform information matching with at least one preset monitoring device matching information by using the target area as a monitoring unit to obtain a target state matching result.
A result classifying module 150, configured to classify the target state matching results according to the abnormal state information table to obtain current state matching results, that is, to add consideration to the operation state of the monitoring device, and classify the target state matching results, so as to obtain state matching results arranged according to the degree of urgency, that is, the current state matching results.
And a fault determining module 160, configured to determine a real-time monitoring area corresponding to the current state matching result and the abnormal state information unit, match parameter change information in the real-time monitoring area with the abnormal information to obtain an abnormal fault information table, and send the abnormal fault information table to a server.
A second coefficient comparison module 170, configured to determine, if a correlation coefficient between the running state of the monitoring device and the abnormal information is the same as a preset abnormal coefficient, an actual state matching result of the target state matching result and the abnormal state information unit, match parameter change information in the actual state matching result with the abnormal information to obtain an abnormal fault information table, and send the abnormal fault information table to a server.
In an alternative embodiment, the first coefficient comparing module 130 is specifically configured to:
determining target environment parameters corresponding to a monitoring area acquired by monitoring equipment and a working state form of the monitoring area, wherein the working state form represents working information of the monitoring area acquired by the monitoring equipment; the working state form at least comprises: fault information and alarm information of a monitoring area acquired by the monitoring equipment are represented;
acquiring a preset parameter database corresponding to the target environment parameter, wherein the preset parameter database comprises a working state form corresponding to the preset parameter database, and the working state form corresponding to the parameter database represents working information of a monitoring area corresponding to the target environment parameter in the parameter database; the working state form corresponding to the parameter database at least comprises: fault information and alarm information of a monitoring area corresponding to the environmental parameters contained in the parameter database are represented;
and searching an abnormal state information form matched with the monitoring equipment acquisition in the parameter database according to the fault information and the alarm information of the monitoring area and the working state form which are obtained by the target environment parameters.
In an alternative embodiment, the fault determining module 160 is specifically configured to:
classifying the parameter change information in the real-time monitoring area according to a set mode to obtain a classification result;
acquiring preset target monitoring equipment, classifying parameter change information of the target monitoring equipment into detection information of monitoring equipment to be detected while classifying the parameter change information of the target monitoring equipment according to a set mode;
adjusting the detection information according to the priority of the detection sequence, and mapping the current detection information obtained after adjustment as additional information to the subsequent classification result of the target monitoring equipment of the parameter change information corresponding to the detection information;
and matching the classification result mapped with the additional information with the abnormal information to obtain an abnormal fault information table.
In an alternative embodiment, the second coefficient comparing module 170 is specifically configured to:
screening out characteristic information from the abnormal information;
the types of the arranged characteristic information are used for generating a characteristic information classification table; the characteristic information classification table is a fault type table, each table corresponds to one fault type, each fault type has at least one fault value, and each table of the characteristic information classification table has a priority relation of execution emergency degree;
extracting equipment information of equipment to be detected; extracting a fault value in at least one characteristic information classification table contained in the equipment information of the equipment to be detected;
determining the corresponding relation between the feature information and the feature information classification table, and generating a current feature information set according to the corresponding relation; generating a current feature information set according to the corresponding relation, wherein the generating of the current feature information set according to the corresponding relation comprises the following steps: determining each characteristic information as a reference value of the equipment fault state; respectively generating at least one equipment fault state corresponding to the reference value of each equipment fault state; acquiring the non-repeated equipment fault states of the characteristic information to form an equipment fault state set; comparing each equipment fault state in the equipment fault state set with the characteristic information classification table to obtain a current characteristic information set;
performing cycle traversal on the fault values contained in the equipment information of the equipment to be detected and the fault values in the current characteristic information set; in the process of circulating traversal, if all fault values of one equipment fault state are contained in the equipment information of the equipment to be detected, recording the equipment fault state as the abnormal fault state of the equipment to be detected;
and determining the target state matching result and the actual state matching result of the abnormal fault state, and matching parameter change information in the actual state matching result with each abnormal fault state of the equipment to be detected to obtain the abnormal fault information table.
On the basis of the above, please refer to fig. 4 in combination, which provides an electronic device 200, including a processor 211, a memory 212 and a bus 213, which are connected to the processor 211; wherein, the processor 211 and the memory 212 complete the communication with each other through the bus 213; the processor 211 is configured to call the program instructions in the memory 212 to execute the above-mentioned method.
Further, a readable storage medium is provided, on which a program is stored, which when executed by a processor implements the method described above.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (10)
1. A monitoring device remote maintenance method is characterized by comprising the following steps:
acquiring the running state of monitoring equipment in a target area, and calculating a working state form corresponding to the running state of the monitoring equipment, wherein the running state of the monitoring equipment is the running state which changes when the monitoring equipment in the target area runs;
acquiring abnormal information acquired by the monitoring equipment, and matching a correlation coefficient between the running state of the monitoring equipment and the abnormal information according to the working state form;
if the correlation coefficient between the running state of the monitoring equipment and the abnormal information is different from a preset abnormal coefficient, obtaining an abnormal state information form according to the abnormal information acquired by the monitoring equipment and the working state form;
summarizing the abnormal information into an abnormal state information unit, setting the abnormal state information unit as a target abnormal state information unit, and performing information matching with at least one preset monitoring device matching information by taking the target area as a monitoring unit to obtain a target state matching result;
classifying the target state matching results according to the abnormal state information sheet to obtain current state matching results, namely, adding the consideration of the running state of the monitoring equipment, and classifying the target state matching results to obtain state matching results arranged according to the emergency degree, namely, the current state matching results;
determining a real-time monitoring area corresponding to the current state matching result and the abnormal state information unit, matching parameter change information in the real-time monitoring area with the abnormal information to obtain an abnormal fault information table, and sending the abnormal fault information table to a server;
and if the correlation coefficient between the running state of the monitoring equipment and the abnormal information is the same as the preset abnormal coefficient, determining the target state matching result and the actual state matching result of the abnormal state information unit, matching parameter change information in the actual state matching result with the abnormal information to obtain an abnormal fault information table, and sending the abnormal fault information table to a server.
2. The remote maintenance method of the monitoring device according to claim 1, wherein obtaining an abnormal state information form according to the abnormal information collected by the monitoring device and the working state form specifically includes:
determining target environment parameters corresponding to a monitoring area acquired by monitoring equipment and a working state form of the monitoring area, wherein the working state form represents working information of the monitoring area acquired by the monitoring equipment; the working state form at least comprises: fault information and alarm information of a monitoring area acquired by the monitoring equipment are represented;
acquiring a preset parameter database corresponding to the target environment parameter, wherein the preset parameter database comprises a working state form corresponding to the preset parameter database, and the working state form corresponding to the parameter database represents working information of a monitoring area corresponding to the target environment parameter in the parameter database; the working state form corresponding to the parameter database at least comprises: fault information and alarm information of a monitoring area corresponding to the environmental parameters contained in the parameter database are represented;
and searching an abnormal state information form matched with the monitoring equipment acquisition in the parameter database according to the fault information and the alarm information of the monitoring area and the working state form which are obtained by the target environment parameters.
3. The remote maintenance method of monitoring equipment according to claim 1, wherein a real-time monitoring area corresponding to the current state matching result and the abnormal state information unit is determined, and parameter change information in the real-time monitoring area is matched with the abnormal information to obtain an abnormal fault information table, specifically comprising:
classifying the parameter change information in the real-time monitoring area according to a set mode to obtain a classification result;
acquiring preset target monitoring equipment, classifying parameter change information of the target monitoring equipment into detection information of monitoring equipment to be detected while classifying the parameter change information of the target monitoring equipment according to a set mode;
adjusting the detection information according to the priority of the detection sequence, and mapping the current detection information obtained after adjustment as additional information to the subsequent classification result of the target monitoring equipment of the parameter change information corresponding to the detection information;
and matching the classification result mapped with the additional information with the abnormal information to obtain an abnormal fault information table.
4. The remote maintenance method of the monitoring device according to claim 1, wherein the target state matching result and the actual state matching result of the abnormal state information unit are determined, and parameter change information in the actual state matching result is matched with the abnormal information to obtain an abnormal fault information table, and the specific content includes:
screening out characteristic information from the abnormal information;
the types of the arranged characteristic information are used for generating a characteristic information classification table; the characteristic information classification table is a fault type table, each table corresponds to one fault type, each fault type has at least one fault value, and each table of the characteristic information classification table has a priority relation of execution emergency degree;
extracting equipment information of equipment to be detected; extracting a fault value in at least one characteristic information classification table contained in the equipment information of the equipment to be detected;
determining the corresponding relation between the feature information and the feature information classification table, and generating a current feature information set according to the corresponding relation; generating a current feature information set according to the corresponding relation, wherein the generating of the current feature information set according to the corresponding relation comprises the following steps: determining each characteristic information as a reference value of the equipment fault state; respectively generating at least one equipment fault state corresponding to the reference value of each equipment fault state; acquiring the non-repeated equipment fault states of the characteristic information to form an equipment fault state set; comparing each equipment fault state in the equipment fault state set with the characteristic information classification table to obtain a current characteristic information set;
performing cycle traversal on the fault values contained in the equipment information of the equipment to be detected and the fault values in the current characteristic information set; in the process of circulating traversal, if all fault values of one equipment fault state are contained in the equipment information of the equipment to be detected, recording the equipment fault state as the abnormal fault state of the equipment to be detected;
and determining the target state matching result and the actual state matching result of the abnormal fault state, and matching parameter change information in the actual state matching result with each abnormal fault state of the equipment to be detected to obtain the abnormal fault information table.
5. A monitoring device remote maintenance apparatus, the apparatus comprising:
the monitoring device comprises a state acquisition module, a state calculation module and a state calculation module, wherein the state acquisition module is used for acquiring the running state of monitoring equipment in a target area and calculating a working state form corresponding to the running state of the monitoring equipment, and the running state of the monitoring equipment is the running state of the monitoring equipment in the target area, which changes during running;
the information acquisition module is used for acquiring abnormal information acquired by the monitoring equipment and matching the correlation coefficient between the running state of the monitoring equipment and the abnormal information according to the working state form;
the first coefficient comparison module is used for obtaining an abnormal state information form according to the abnormal information acquired by the monitoring equipment and the working state form if the correlation coefficient between the running state of the monitoring equipment and the abnormal information is different from a preset abnormal coefficient;
the information summarizing module is used for summarizing the abnormal information into an abnormal state information unit, setting the abnormal state information unit as a target abnormal state information unit, and performing information matching with at least one preset monitoring device matching information by taking the target area as a monitoring unit to obtain a target state matching result;
a result classification module, configured to classify the target state matching result according to the abnormal state information form to obtain a current state matching result, that is, to add consideration to an operation state of the monitoring device, and classify the target state matching result, so as to obtain state matching results arranged according to an emergency degree, that is, the current state matching result;
the fault determining module is used for determining a real-time monitoring area corresponding to the current state matching result and the abnormal state information unit, matching parameter change information in the real-time monitoring area with the abnormal information to obtain an abnormal fault information table, and sending the abnormal fault information table to a server;
and the second coefficient comparison module is used for determining the target state matching result and the actual state matching result of the abnormal state information unit if the correlation coefficient between the running state of the monitoring equipment and the abnormal information is the same as the preset abnormal coefficient, matching parameter change information in the actual state matching result with the abnormal information to obtain an abnormal fault information table, and sending the abnormal fault information table to a server.
6. The remote maintenance device of monitoring equipment according to claim 5, wherein the first coefficient comparing module is specifically configured to:
determining target environment parameters corresponding to a monitoring area acquired by monitoring equipment and a working state form of the monitoring area, wherein the working state form represents working information of the monitoring area acquired by the monitoring equipment; the working state form at least comprises: fault information and alarm information of a monitoring area acquired by the monitoring equipment are represented;
acquiring a preset parameter database corresponding to the target environment parameter, wherein the preset parameter database comprises a working state form corresponding to the preset parameter database, and the working state form corresponding to the parameter database represents working information of a monitoring area corresponding to the target environment parameter in the parameter database; the working state form corresponding to the parameter database at least comprises: fault information and alarm information of a monitoring area corresponding to the environmental parameters contained in the parameter database are represented;
and searching an abnormal state information form matched with the monitoring equipment acquisition in the parameter database according to the fault information and the alarm information of the monitoring area and the working state form which are obtained by the target environment parameters.
7. The remote maintenance device of monitoring equipment according to claim 5, wherein the fault determination module is specifically configured to:
classifying the parameter change information in the real-time monitoring area according to a set mode to obtain a classification result;
acquiring preset target monitoring equipment, classifying parameter change information of the target monitoring equipment into detection information of monitoring equipment to be detected while classifying the parameter change information of the target monitoring equipment according to a set mode;
adjusting the detection information according to the priority of the detection sequence, and mapping the current detection information obtained after adjustment as additional information to the subsequent classification result of the target monitoring equipment of the parameter change information corresponding to the detection information;
and matching the classification result mapped with the additional information with the abnormal information to obtain an abnormal fault information table.
8. The remote maintenance device of monitoring equipment according to claim 5, wherein the second coefficient comparing module is specifically configured to:
screening out characteristic information from the abnormal information;
the types of the arranged characteristic information are used for generating a characteristic information classification table; the characteristic information classification table is a fault type table, each table corresponds to one fault type, each fault type has at least one fault value, and each table of the characteristic information classification table has a priority relation of execution emergency degree;
extracting equipment information of equipment to be detected; extracting a fault value in at least one characteristic information classification table contained in the equipment information of the equipment to be detected;
determining the corresponding relation between the feature information and the feature information classification table, and generating a current feature information set according to the corresponding relation; generating a current feature information set according to the corresponding relation, wherein the generating of the current feature information set according to the corresponding relation comprises the following steps: determining each characteristic information as a reference value of the equipment fault state; respectively generating at least one equipment fault state corresponding to the reference value of each equipment fault state; acquiring the non-repeated equipment fault states of the characteristic information to form an equipment fault state set; comparing each equipment fault state in the equipment fault state set with the characteristic information classification table to obtain a current characteristic information set;
performing cycle traversal on the fault values contained in the equipment information of the equipment to be detected and the fault values in the current characteristic information set; in the process of circulating traversal, if all fault values of one equipment fault state are contained in the equipment information of the equipment to be detected, recording the equipment fault state as the abnormal fault state of the equipment to be detected;
and determining the target state matching result and the actual state matching result of the abnormal fault state, and matching parameter change information in the actual state matching result with each abnormal fault state of the equipment to be detected to obtain the abnormal fault information table.
9. An electronic device comprising a processor and a memory and bus connected to the processor; wherein, the processor and the memory complete mutual communication through the bus; the processor is configured to call program instructions in the memory to perform the method of any of the preceding claims 1-4.
10. A readable storage medium, characterized in that a program is stored thereon, which program, when being executed by a processor, carries out the method of any one of the preceding claims 1-4.
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| CN202010455324.XA CN111639769A (en) | 2020-05-26 | 2020-05-26 | Monitoring equipment remote maintenance method and device and electronic equipment |
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| CN202010455324.XA CN111639769A (en) | 2020-05-26 | 2020-05-26 | Monitoring equipment remote maintenance method and device and electronic equipment |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112327100A (en) * | 2020-10-30 | 2021-02-05 | 浙江大学 | Power failure detection method and system based on Internet of things |
| CN112558897A (en) * | 2021-01-07 | 2021-03-26 | 深圳市久和精密自动化设备有限公司 | Single-station chip pad printing information processing method and single-station chip pad printing machine |
| CN113313274A (en) * | 2021-07-29 | 2021-08-27 | 深圳市前海数字城市科技有限公司 | Fault positioning method and device, detection equipment and storage medium |
| CN116032799A (en) * | 2021-10-25 | 2023-04-28 | 中移物联网有限公司 | Fault detection method, device and storage medium |
-
2020
- 2020-05-26 CN CN202010455324.XA patent/CN111639769A/en not_active Withdrawn
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112327100A (en) * | 2020-10-30 | 2021-02-05 | 浙江大学 | Power failure detection method and system based on Internet of things |
| CN112327100B (en) * | 2020-10-30 | 2021-09-03 | 浙江大学 | Power failure detection method and system based on Internet of things |
| CN112558897A (en) * | 2021-01-07 | 2021-03-26 | 深圳市久和精密自动化设备有限公司 | Single-station chip pad printing information processing method and single-station chip pad printing machine |
| CN112558897B (en) * | 2021-01-07 | 2021-06-11 | 深圳市久和精密自动化设备有限公司 | Single-station chip pad printing information processing method and single-station chip pad printing machine |
| CN113313274A (en) * | 2021-07-29 | 2021-08-27 | 深圳市前海数字城市科技有限公司 | Fault positioning method and device, detection equipment and storage medium |
| CN116032799A (en) * | 2021-10-25 | 2023-04-28 | 中移物联网有限公司 | Fault detection method, device and storage medium |
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Address after: 650100 phase 4b, shenggaodacheng, Xishan District, Kunming City, Yunnan Province Applicant after: Li Yunxiang Address before: No. 206, Machang village, Machang village committee, Kuishan Town, Shizong County, Qujing City, Yunnan Province Applicant before: Li Yunxiang |
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Application publication date: 20200908 |