CN115578838A - Building monitoring data abnormity early warning method and related device - Google Patents
Building monitoring data abnormity early warning method and related device Download PDFInfo
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- CN115578838A CN115578838A CN202211197494.8A CN202211197494A CN115578838A CN 115578838 A CN115578838 A CN 115578838A CN 202211197494 A CN202211197494 A CN 202211197494A CN 115578838 A CN115578838 A CN 115578838A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
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Abstract
The application discloses building monitoring data abnormity early warning method and related device, which comprises the following steps: acquiring abnormal monitoring items in monitoring data by acquiring the monitoring data of a target building under the condition that the monitoring data meet preset conditions; judging whether an emergency project exists in the abnormal monitoring project, if so, acquiring the emergency project from the abnormal monitoring project and sending an emergency message to a preset terminal; if no critical item exists, generating a health state report and further carrying out operation state evaluation in the health state report; when monitoring data is abnormal, whether the abnormal data item belongs to a critical item or not is judged, the distinguishing between an emergency situation and a chronic deterioration situation is realized, and under the condition of belonging to the chronic deterioration, not only a health state report is generated, but also the operation state evaluation is carried out, and the technical effect of providing a reasonable execution strategy according to the abnormal monitoring data is further realized.
Description
Technical Field
The application relates to the field of monitoring data processing, in particular to a building monitoring data abnormity early warning method and a related device.
Background
In recent years, the continuous collapse accidents of dangerous houses, high-rise buildings and other structures cause great loss to the personal and property safety of people. When an accident occurs, compensation assistance is carried out, and then the related responsible person is processed. This pattern of shuttling also continues to erode the people's property and life safety. In the past, for building safety of houses, a method of fixing persons, fixing points and strictly preventing death and guard is adopted for safety monitoring, and due to the self limitation of the persons, dangerous house change conditions cannot be timely and accurately found. For the management of the critical house, if the monitoring is carried out in an effective way, the safety state of the management is mastered. The collapse of the vehicle is not required, the trend can be accurately predicted before the collapse is only required, and various plans and emergency measures can be set in enough time, so that the occurrence of emergency situations can be reduced to the maximum extent.
Therefore, how to accurately process the building monitoring data according to the monitoring data when the building monitoring data is abnormal becomes a technical problem to be solved urgently.
Disclosure of Invention
In order to generate a reasonable execution strategy when the building monitoring data are detected to be abnormal, the application provides a building monitoring data abnormity early warning method and a related device.
In a first aspect, the building monitoring data abnormity early warning method provided by the application adopts the following technical scheme:
a building monitoring data abnormity early warning method comprises the steps of collecting monitoring data of a target building;
when the monitoring data are detected to meet preset conditions, acquiring abnormal monitoring items in the monitoring data;
judging whether a critical project exists in the abnormal monitoring project or not;
if so, acquiring a corresponding emergency project and sending an emergency message to a preset terminal;
and if not, generating a health state report according to the monitoring data and carrying out operation state evaluation in the health state report.
Optionally, when it is detected that the monitoring data meets the preset condition, acquiring an abnormal monitoring item in the monitoring data includes:
acquiring a first preset range set corresponding to monitoring data, and taking data which is not in the first preset range set as abnormal data;
when abnormal data exist in the monitoring data, judging the effectiveness of the abnormal data;
and if the abnormal data are valid, acquiring an abnormal monitoring item corresponding to the abnormal data.
Optionally, the determining whether there is a critical item in the anomaly monitoring item includes:
acquiring a corresponding item label in the abnormal monitoring item;
judging whether the item label belongs to an emergency item label or not;
if yes, judging that a critical project exists in the abnormal monitoring project;
if not, judging whether a critical project exists according to abnormal data in the abnormal monitoring project.
Optionally, the determining whether there is a critical project according to the abnormal data in the abnormal monitoring project includes:
acquiring abnormal data in the abnormal monitoring project;
acquiring a second preset range set corresponding to the abnormal monitoring item;
and if the abnormal data is not in the second preset range set, judging that a critical project exists in the abnormal monitoring projects.
Optionally, the obtaining of the corresponding critical item and sending the emergency message to the preset terminal includes:
acquiring a critical project processing strategy corresponding to a critical project;
acquiring contact information and a sending mode in the critical project according to the critical project processing strategy;
and generating an emergency message according to the contact information and sending the emergency message to a preset terminal according to the sending mode.
Optionally, the generating a health status report according to the monitoring data and performing operation status evaluation in the health status report includes:
judging the performance type of the corresponding project according to the monitoring data, wherein the performance type comprises the following steps: damage, deterioration, operation, and maintenance;
acquiring a historical monitoring log, and performing health diagnosis by combining the historical monitoring log and the monitoring data to generate a health state report;
performing an operational state assessment after the health status report is generated.
Optionally, if not, after generating a health status report according to the monitoring data and performing operation status evaluation in the health status report, the method further includes:
generating an offline return visit task according to the operation state evaluation report, and sending the offline return visit task to a corresponding information receiving terminal according to the project information in the operation state evaluation report;
when an instruction for completing a return visit task is received, acquiring an offline information report in the return visit task instruction;
if the offline information report belongs to a confirmation report, comparing the offline information report with the health report to judge the accuracy of data acquisition;
and if the offline information report belongs to the maintenance report, updating the monitoring data of the target building, and judging whether offline maintenance is effective or not according to the detection data of the target building.
In a second aspect, the present application provides an unusual early warning device of building monitoring data, unusual early warning device of building monitoring data includes:
the data acquisition module is used for acquiring monitoring data of a target building;
the abnormal item acquisition module is used for acquiring an abnormal monitoring item in the monitoring data when the monitoring data is detected to meet a preset condition;
the critical project judgment module is used for judging whether a critical project exists in the abnormal monitoring project;
the emergency project processing module is used for acquiring a corresponding emergency project and sending an emergency message to a preset terminal if the emergency project processing module is used for acquiring the corresponding emergency project and sending the emergency message to the preset terminal;
and the non-critical project processing module is used for generating a health state report according to the monitoring data and evaluating the operation state in the health state report if the monitoring data is not the same as the monitoring data.
In a third aspect, the present application provides a computer apparatus, the apparatus comprising: a memory, a processor that, when executing computer instructions stored by the memory, performs a method as in any one of the above.
In a fourth aspect, the present application provides a computer-readable storage medium comprising instructions which, when executed on a computer, cause the computer to perform the method as described above.
In summary, the present application includes the following advantageous technical effects:
according to the method, abnormal monitoring items in monitoring data are acquired under the condition that the monitoring data meet preset conditions by acquiring the monitoring data of a target building; judging whether an emergency project exists in the abnormal monitoring project, if so, acquiring the emergency project in the abnormal monitoring project and sending an emergency message to a preset terminal; if no critical item exists, generating a health state report and further carrying out operation state evaluation in the health state report; when monitoring data is abnormal, whether the abnormal data item belongs to a critical item or not is judged, the distinguishing between an emergency situation and a chronic deterioration situation is realized, and under the condition of belonging to the chronic deterioration, not only a health state report is generated, but also the operation state evaluation is carried out, and the technical effect of providing a reasonable execution strategy according to the abnormal monitoring data is further realized.
Drawings
FIG. 1 is a schematic diagram of a computer device architecture of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of the building monitoring data anomaly early warning method according to the present invention;
FIG. 3 is a schematic flow chart of a building monitoring data anomaly early warning method according to a second embodiment of the present invention;
fig. 4 is a block diagram of the first embodiment of the building monitoring data abnormality warning device according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a computer device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the computer device may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a high-speed Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in FIG. 1 is not intended to be limiting of computer devices and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and a building monitoring data abnormality warning program.
In the computer device shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the computer device of the present invention may be disposed in the computer device, and the computer device calls the building monitoring data abnormality warning program stored in the memory 1005 through the processor 1001 and executes the building monitoring data abnormality warning method provided by the embodiment of the present invention.
An embodiment of the present invention provides a building monitoring data anomaly early warning method, and referring to fig. 2, fig. 2 is a schematic flow diagram of a first embodiment of the building monitoring data anomaly early warning method according to the present invention.
In this embodiment, the building monitoring data abnormality early warning method includes the following steps:
step S10: and collecting monitoring data of the target building.
It should be noted that, in this embodiment, real-time security monitoring of dangerous houses, high-rise (building) buildings and other structures guarantees property safety of people, early discovery, early warning and early disposal are really achieved, life and property safety of the masses is guaranteed more effectively, a real-time automatic monitoring mode for dangerous houses is to perform real-time acquisition and real-time transmission on data in the inclined deformation process of the buildings through an advanced information technology means, perform dynamic processing on the acquired data, perform abnormal exceeding alarm, and reduce or avoid losses such as casualties caused by accidents as much as possible.
It will be appreciated that common building safety issues and causes are as follows: the temperature crack can cause house deformation crack due to temperature change, the expansion and contraction of the material due to temperature change can cause the temperature crack of the wall body when the temperature stress caused by temperature deformation under the constraint condition is large enough. The most common temperature cracks are in the walls at the two ends of the top layer of the concrete flat roof house, such as the regular splayed cracks at the edges of door and window openings, the horizontal cracks at the lower edge of a flat roof or a roof gird along the mortar joints of bricks (blocks), and the horizontal corner wrapping cracks (including parapet walls). The reason for the flat roof temperature crack is that the temperature of the roof is much higher than that of the wall body below the roof, and the coefficient of linear expansion of the concrete roof is much higher than that of the brick masonry, so that the deformation between the roof and the wall body is poor, and great tensile force and shearing force are generated in the wall body. The distribution of the shear stress in the wall body is that the two ends are larger, the middle is gradually smaller, the top layer is larger, and the lower part is smaller. Temperature cracking is the main cause of early cracking of walls. The cracks are generally gradually stabilized after a winter and a summer and do not continue to develop any more, and the width of the cracks is slightly changed along with the temperature change; the foundation is unevenly settled, and the foundation is unevenly settled along with development of underground space and more complex geological structures such as underground water and the like. The house is shown in a diagonal crack in the lower middle area of the wall. Building middle part pressure interact is higher than the edge, and the non-load area ground of edge sinks to the load district and has the shear resistance effect, so when the ground received the pressure of upper portion transmission, the ground counter-force was higher at the marginal zone, arouses that the subside of ground warp to be the spill. The settlement enables the building to form a bending with large settlement in the middle and small settlement at the end parts, the middle lower part of the structure is pulled, the end parts are sheared, when the shearing stress at the end parts is large, the wall body is broken due to the main tensile stress formed by shearing force, and cracks are inclined towards the direction with small settlement through two opposite angles of the window. The collapsed beam drives the surrounding precast slabs to fall together, and the falling of the precast slabs causes the adjacent beams to lose lateral support and to shift towards one side of the falling precast slabs under the action of an earthquake; the beams which laterally move cause the damage and collapse of the wall bodies above and below the beams, the pressure of other wall bodies is increased after the wall bodies collapse, the large-area collapse occurs after the structure continuously collapses, and in addition, the lower parts of the collapsed beams and the corners of doors and windows are seriously cracked. The cracking of the lower part of the beam is caused by the tendency of the beam to rotate under the action of horizontal force, so that the surrounding brick wall cracks; and door and window corner cracking is caused by corner stress concentration. Horizontal cracks in the lower middle area of the wall. Because the middle upper part of the wall body is pressed and forms an arch function, the closer the wall body crack is to the foundation and the door and window, the more serious the wall body crack is, and the wall body on the upper side of the middle lower part cracking area has a self-weight falling function, so that the vertical direction tensile stress is caused. When the tensile stress in the vertical direction exceeds the bonding strength between the block material and the mortar, a horizontal crack is formed; stress of a structure changes, and the early house structure is long in construction age, so that the building material is degraded in long-term aging performance, unreasonable in use, disassembled and modified in a load-bearing structure and the like, so that the integrity is poor, the structure is loose, once the building material is influenced by external force such as vibration and foundation settlement, huge hidden dangers are caused to safe use, and the building structure is identified as a C \ D-level dangerous house; the damage of wind load of coastal cities, wind is a disordered random phenomenon, has very complex effect on buildings and is a factor which is inevitably considered in the structural design. With the development of economy, high-rise buildings, especially super high-rise buildings with complicated shapes, have been developed vigorously in recent years. Generally speaking, high-rise buildings occupy less area, have large building area and unique and relatively concentrated shapes. This feature has led to rapid development of high-rise buildings in densely populated large cities. But the wind load on high-rise buildings is also increased more and more, so that the horizontal load is increased continuously.
It should be noted that, in the present embodiment, the target building includes: large buildings, gymnasiums, museums, historic buildings and other large buildings.
In specific implementation, the sensors used for acquiring data in the embodiment mainly monitor two parts, namely environmental load and structural response. For example, when data monitoring is performed on a large building a, the sensors used include: the device comprises a meteorological detector, a deformation meter, a displacement meter, a distributed temperature sensor, an average stress meter, a vibration sensor, a video meter and a load sensor.
In specific implementation, the embodiment judges the emergency degree of the alarm and the coping scheme by real-time alarm condition and alarm classification: sending the alarm message to each manager in different modes at the first time, improving the response speed, reducing the number of operators on duty and knowing the alarm processing progress in real time; one-key positioning is adopted, the alarm position/equipment can be accurately known, the real-time state of the equipment can be checked or systems such as peripheral cameras can be linked, the field condition can be known in time, and remote coordination command can be carried out; in the aspect of security protection, the highest position of the danger level can be judged according to the historical alarm times, an optimized security scheme can be formulated by combining the alarm details, and the building security is enhanced; in the aspect of equipment management, data trend scoring is carried out through data accumulation.
Step S20: and when the monitoring data are detected to meet the preset conditions, acquiring abnormal monitoring items in the monitoring data.
In specific implementation, the collected data needs to be cleaned, for example, the temperature detected by an outdoor temperature detector is 80 ℃, the value obviously not meeting the normal temperature needs to be cleaned, and the fault reason is reported.
It should be noted that, acquiring an abnormal monitoring item in the monitoring data means that an item corresponding to data in which an abnormality occurs in the detection data is the abnormal monitoring item. And calculating and obtaining the area of the project correspondingly monitored by the sensor for collecting data and contrasting the area of the project correspondingly monitored by the sensor.
Further, in order to prevent erroneous data interference judgment caused by an accident, when it is detected that the monitoring data meets a preset condition, the acquiring an abnormal monitoring item in the monitoring data includes: acquiring a first preset range set corresponding to monitoring data, and taking data which is not in the first preset range set as abnormal data; when abnormal data exist in the monitoring data, judging the effectiveness of the abnormal data; and if the abnormal data is valid, acquiring an abnormal monitoring item corresponding to the abnormal data.
It should be noted that the first preset range set refers to a range value preset according to each monitoring item or monitoring location, for example, the first preset range set corresponding to the indoor environment temperature value of a certain point a is: 20 to 30 degrees celsius.
It is understood that each monitoring item in the monitoring data has its corresponding monitoring data and first preset range. And comparing each monitoring data with a corresponding first preset range, and if the monitoring data is not in the first preset range, taking the monitoring data as abnormal data.
It should be noted that, the judgment of the validity of the abnormal data refers to detecting whether the corresponding data acquisition device can work normally or not, and dispatching a front-line manager to perform actual data comparison on site, and the above measures all belong to validity judgment.
Step S30: and judging whether a critical project exists in the abnormal monitoring project.
It should be noted that, when monitoring of building data is abnormal, one of two situations exists, namely, deterioration of the building condition due to an emergency situation, and the stability of the building is threatened in a short time; the other is chronic diseases caused by daily aging, such as wall cracking or part aging.
In a specific implementation, when determining whether there is a critical item in an abnormal monitoring item, in this embodiment, monitoring data and item types corresponding to the abnormal monitoring item are analyzed.
Step S40: if yes, acquiring a corresponding emergency project and sending an emergency message to a preset terminal.
It should be noted that the preset terminal refers to the communication terminals of the corresponding backend management personnel and the site management personnel, and the corresponding message can be notified to the target task at the first time by sending the communication terminals.
In a specific implementation, after the emergency message is sent, the receiving end is required to feed back a read instruction to confirm that the message can be successfully transmitted, and if the read instruction is not received after the instruction is sent to the target terminal, the standby mode is selected for contact. For example, the system automatically dials an emergency contact address preset by the other party.
Further, in order to realize management and control and notification at the first time when an emergency project occurs, the acquiring a corresponding emergency project and sending an emergency message to a preset terminal includes: acquiring a critical project processing strategy corresponding to a critical project; acquiring contact information and a sending mode in the critical project according to the critical project processing strategy; and generating an emergency message according to the contact information and sending the emergency message to a preset terminal according to the sending mode.
Step S50: and if not, generating a health state report according to the monitored data and evaluating the operation state in the health state report.
It should be noted that the health status report includes building name, total floor, height, monitoring items, monitoring instruments, number, configuration description and specific numerical value.
It is understood that the operation status evaluation means obtaining a maintenance decision based on the current monitoring data in combination with the historical monitoring data, the maintenance decision comprising: major repair decisions, intermediate repair decisions, and minor repair decisions. The corresponding minor repair decision refers to arranging a front-line manager to repair on site, the middle repair decision refers to the need of replacing or carrying out corresponding construction behaviors on the schedule, and the major repair decision refers to the need of arranging professional inspection and maintenance personnel and experts to carry out specific survey and regular consultation to determine a solution.
Further, in order to take precaution in advance under the condition of non-critical projects, the generating a health status report according to the monitoring data and performing operation status evaluation in the health status report includes: if the critical project does not exist in the abnormal monitoring project, judging the performance type of the corresponding project according to the monitoring data, wherein the performance type comprises the following steps: damage, deterioration, operation, and maintenance; acquiring a historical monitoring log, and performing health diagnosis by combining the historical monitoring log and the monitoring data to generate a health state report; performing an operational state assessment after the health status report is generated.
Further, in order to verify the validity of the policy after generating the execution policy, if not, after generating a health status report according to the monitoring data and performing operation status evaluation in the health status report, the method further includes: generating an offline return visit task according to the operation state evaluation report, and sending the offline return visit task to a corresponding information receiving terminal according to the project information in the operation state evaluation report; when an instruction for completing a return visit task is received, acquiring an offline information report in the return visit task instruction; if the offline information report belongs to a confirmation report, comparing the offline information report with the health report to judge the accuracy of data acquisition; and if the offline information report belongs to the maintenance report, updating the monitoring data of the target building, and judging whether offline maintenance is effective or not according to the detection data of the target building.
It should be noted that the offline return visit task refers to arranging corresponding construction or a front line manager to go to a preset location to execute a corresponding task.
It can be understood that, when the return visit task under line is completed, the corresponding personnel need to complete the return visit task completion instruction, complete the confirmation report and/or the maintenance report in the return visit task completion instruction, and supplement the corresponding information according to the report type.
In the embodiment, by acquiring monitoring data of a target building, an abnormal monitoring item in the monitoring data is acquired under the condition that the monitoring data meets a preset condition; judging whether an emergency project exists in the abnormal monitoring project, if so, acquiring the emergency project in the abnormal monitoring project and sending an emergency message to a preset terminal; if no critical item exists, generating a health state report and further carrying out operation state evaluation in the health state report; when monitoring data is abnormal, whether the abnormal data item belongs to a critical item or not is judged, the distinguishing between an emergency situation and a chronic deterioration situation is realized, and under the condition of belonging to the chronic deterioration, not only a health state report is generated, but also the operation state evaluation is carried out, and the technical effect of providing a reasonable execution strategy according to the abnormal monitoring data is further realized.
Referring to fig. 3, fig. 3 is a schematic flow chart of a building monitoring data anomaly early warning method according to a second embodiment of the present invention.
Based on the first embodiment, the step S30 of the building monitoring data abnormality early warning method of this embodiment further includes:
step S301: and acquiring a corresponding item label in the abnormal monitoring item.
The item tag is a tag set according to an actual building situation and a target to be monitored. For example, a large museum has a labor insurance product storage area and a cultural relic preservation area, and for the condition of temperature, the abnormality of the labor insurance product storage area and the abnormality of the cultural relic preservation area belong to areas with different importance degrees, so that different project labels are assigned to the two areas.
Step S302: and judging whether the item label belongs to a critical item label.
In a specific implementation, determining whether the item tag belongs to a critical item tag is performed by traversing through a critical item tag set to determine whether there is an item tag in the critical item tag set.
Step S303: if yes, judging that the critical item exists in the abnormal monitoring items.
In a specific implementation, if the item tag belongs to the critical item tag, the corresponding critical item tag is acquired, and the item corresponding to the acquired critical item tag is used as the critical item.
Step S304: if not, judging whether a critical project exists according to abnormal data in the abnormal monitoring project.
Further, in order to accurately determine whether an emergency project exists according to abnormal data in the abnormal monitoring project, the determining whether an emergency project exists according to abnormal data in the abnormal monitoring project includes: acquiring abnormal data in the abnormal monitoring project; acquiring a second preset range set corresponding to the abnormal monitoring item; and if the abnormal data is not in the second preset range set, judging that a critical project exists in the abnormal monitoring projects.
It should be noted that the second preset range set is a monitoring data set according to the specific situation of each item or place to be monitored. And if the data in the second preset range set belong to abnormal data, the danger to the building to be tested cannot be immediately generated. Which is a problem of chronic growth but requires timely maintenance. And, the second preset range set comprises a first preset range set.
In specific implementation, the judgment according to the abnormal data in the abnormal monitoring project means that after the abnormal data is acquired, a project corresponding to the abnormal data is analyzed, a corresponding second preset range set is acquired according to the project, data corresponding to each project is compared with the second preset range set, data which are not in the second preset range set are used as dangerous data, and the project corresponding to the dangerous data is used as a critical project.
In the embodiment, the corresponding item tag is acquired from the abnormal monitoring item; judging whether the item label belongs to a critical item label; if yes, judging that a critical project exists in the abnormal monitoring projects; if not, judging whether the critical item exists according to the abnormal data in the abnormal monitoring item, carrying out first judgment through the label information, and further judging through a specific numerical value when the label is judged not to belong to the critical item label so as to realize accurate acquisition of the critical item through multiple judgments.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where the storage medium stores a program for building monitoring data anomaly early warning, and when the program for building monitoring data anomaly early warning is executed by a processor, the steps of the method for building monitoring data anomaly early warning as described above are implemented.
Referring to fig. 4, fig. 4 is a block diagram illustrating a first embodiment of the building monitoring data anomaly early warning device according to the present invention.
As shown in fig. 4, the building monitoring data abnormality early warning device provided in the embodiment of the present invention includes:
the data acquisition module 10 is used for acquiring monitoring data of a target building;
the abnormal item acquisition module 20 is configured to acquire an abnormal monitoring item in the monitoring data when it is detected that the monitoring data meets a preset condition;
the critical item judgment module 30 is configured to judge whether a critical item exists in the abnormal monitoring item;
the emergency project processing module 40 is configured to, if yes, obtain a corresponding emergency project and send an emergency message to a preset terminal;
and the non-critical item processing module 50 is configured to generate a health status report according to the monitoring data and perform operation status evaluation in the health status report if the monitoring data is not the same as the monitoring data.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited in this respect.
In the embodiment, by acquiring monitoring data of a target building, an abnormal monitoring item in the monitoring data is acquired under the condition that the monitoring data meets a preset condition; judging whether an emergency project exists in the abnormal monitoring project, if so, acquiring the emergency project from the abnormal monitoring project and sending an emergency message to a preset terminal; if no critical item exists, generating a health state report and further carrying out operation state evaluation in the health state report; when monitoring data is abnormal, whether the abnormal data item belongs to a critical item or not is judged, the distinguishing between an emergency situation and a chronic deterioration situation is realized, and under the condition of belonging to the chronic deterioration, not only a health state report is generated, but also the operation state evaluation is carried out, and the technical effect of providing a reasonable execution strategy according to the abnormal monitoring data is further realized.
In an embodiment, the abnormal item obtaining module 20 is further configured to obtain a first preset range set corresponding to the monitoring data, and use data that is not in the first preset range set as the abnormal data; when abnormal data exist in the monitoring data, judging the effectiveness of the abnormal data; and if the abnormal data are valid, acquiring an abnormal monitoring item corresponding to the abnormal data.
In an embodiment, the critical item determining module 30 is further configured to obtain a corresponding item tag in the abnormal monitoring item; judging whether the item label belongs to a critical item label; if yes, judging that a critical project exists in the abnormal monitoring projects; if not, judging whether a critical project exists according to abnormal data in the abnormal monitoring project.
In an embodiment, the critical item determining module 30 is further configured to obtain abnormal data in the abnormal monitoring item; acquiring a second preset range set corresponding to the abnormal monitoring item; and if the abnormal data is not in the second preset range set, judging that a critical project exists in the abnormal monitoring projects.
In an embodiment, the critical item processing module 40 is further configured to obtain a critical item processing policy corresponding to a critical item; acquiring contact information and a sending mode in the critical project according to the critical project processing strategy; and generating an emergency message according to the contact information and sending the emergency message to a preset terminal according to the sending mode.
In an embodiment, the non-critical item processing module 50 is further configured to determine a performance category of the corresponding item according to the monitoring data, where the performance category includes: damage, deterioration, operation, and maintenance; acquiring a historical monitoring log, and performing health diagnosis by combining the historical monitoring log and the monitoring data to generate a health state report; performing an operational state assessment after the health status report is generated.
In an embodiment, the non-critical project processing module 50 is further configured to generate an offline return visit task according to the operation status evaluation report, and send the offline return visit task to a corresponding information receiving terminal according to the project information in the operation status evaluation report; when an instruction for completing a return visit task is received, acquiring an offline information report in the return visit task instruction; if the offline information report belongs to a confirmation report, comparing the offline information report with the health report to judge the accuracy of data acquisition; and if the offline information report belongs to the maintenance report, updating the monitoring data of the target building, and judging whether offline maintenance is effective or not according to the detection data of the target building.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment may refer to the method for early warning the abnormality of the building monitoring data provided in any embodiment of the present invention, and are not described herein again.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are only for description, and do not represent the advantages and disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all equivalent structures or equivalent processes performed by the present invention or directly or indirectly applied to other related technical fields are also included in the scope of the present invention.
Claims (10)
1. A building monitoring data abnormity early warning method is characterized by comprising the following steps:
collecting monitoring data of a target building;
when the monitoring data are detected to meet preset conditions, acquiring abnormal monitoring items in the monitoring data;
judging whether a critical project exists in the abnormal monitoring project or not;
if so, acquiring a corresponding emergency project and sending an emergency message to a preset terminal;
and if not, generating a health state report according to the monitoring data and carrying out operation state evaluation in the health state report.
2. The building monitoring data abnormity early warning method according to claim 1, wherein when the monitoring data is detected to meet a preset condition, acquiring abnormity monitoring items in the monitoring data comprises:
acquiring a first preset range set corresponding to monitoring data, and taking data which is not in the first preset range set as abnormal data;
when abnormal data exist in the monitoring data, judging the effectiveness of the abnormal data;
and if the abnormal data is valid, acquiring an abnormal monitoring item corresponding to the abnormal data.
3. The building monitoring data abnormality early warning method according to claim 1, wherein the judging whether there is a critical item in the abnormality monitoring items includes:
acquiring a corresponding item label in the abnormal monitoring item;
judging whether the item label belongs to a critical item label;
if yes, judging that a critical project exists in the abnormal monitoring projects;
if not, judging whether a critical project exists according to abnormal data in the abnormal monitoring project.
4. The building monitoring data abnormality early warning method according to claim 3, wherein the judging whether there is a critical item according to the abnormality data in the abnormality monitoring item includes:
acquiring abnormal data in the abnormal monitoring project;
acquiring a second preset range set corresponding to the abnormal monitoring item;
and if the abnormal data is not in the second preset range set, judging that a critical project exists in the abnormal monitoring projects.
5. The building monitoring data abnormity early warning method according to claim 1, wherein the obtaining of the corresponding critical item and the sending of the emergency message to the preset terminal comprises:
acquiring a critical project processing strategy corresponding to a critical project;
acquiring contact information and a sending mode in the critical project according to the critical project processing strategy;
and generating an emergency message according to the contact information and sending the emergency message to a preset terminal according to the sending mode.
6. The building monitoring data anomaly early warning method according to claim 1, wherein the generating of the health status report according to the monitoring data and the performing of the operation status evaluation in the health status report comprises:
judging the performance type of the corresponding project according to the monitoring data, wherein the performance type comprises the following steps: damage, deterioration, operation, and maintenance;
acquiring a historical monitoring log, and performing health diagnosis by combining the historical monitoring log and the monitoring data to generate a health state report;
performing an operational state assessment after the health status report is generated.
7. The building monitoring data abnormality early warning method according to claim 1, wherein if not, after generating a health status report according to the monitoring data and performing operation status evaluation in the health status report, the method further comprises:
generating an offline return visit task according to the operation state evaluation report, and sending the offline return visit task to a corresponding information receiving terminal according to the project information in the operation state evaluation report;
when an instruction for completing a return visit task is received, acquiring an offline information report in the return visit task instruction;
if the offline information report belongs to a confirmation report, comparing the offline information report with the health report to judge the accuracy of data acquisition;
and if the offline information report belongs to the maintenance report, updating the monitoring data of the target building, and judging whether offline maintenance is effective or not according to the detection data of the target building.
8. The utility model provides a building monitoring data abnormity early warning device which characterized in that, building monitoring data abnormity early warning device includes:
the data acquisition module is used for acquiring monitoring data of a target building;
the abnormal item acquisition module is used for acquiring an abnormal monitoring item in the monitoring data when the monitoring data is detected to meet a preset condition;
the critical item judging module is used for judging whether a critical item exists in the abnormal monitoring item;
the emergency project processing module is used for acquiring a corresponding emergency project and sending an emergency message to a preset terminal if the emergency project processing module is used for acquiring the corresponding emergency project and sending the emergency message to the preset terminal;
and the non-critical project processing module is used for generating a health state report according to the monitoring data and evaluating the operation state in the health state report if the monitoring data is not the same as the monitoring data.
9. A computer device, the device comprising: a memory, a processor that, when executing computer instructions stored by the memory, performs the method of any of claims 1-7.
10. A computer-readable storage medium comprising instructions that, when executed on a computer, cause the computer to perform the method of any of claims 1 to 7.
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CN116895046A (en) * | 2023-07-21 | 2023-10-17 | 北京亿宇嘉隆科技有限公司 | Abnormal operation and maintenance data processing method based on virtualization |
CN116895046B (en) * | 2023-07-21 | 2024-05-07 | 北京亿宇嘉隆科技有限公司 | Abnormal operation and maintenance data processing method based on virtualization |
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