CN117198019B - Intelligent archive storehouse intelligent early warning system based on multiple sensors - Google Patents
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Abstract
The invention belongs to the technical field of archival warehouse early warning, and particularly discloses a multi-sensor-based intelligent archival warehouse early warning system, which comprises a warehouse environment monitoring module, a warehouse water leakage preliminary evaluation module, a primary water leakage monitoring module, a secondary water leakage monitoring module, a water leakage early warning verification evaluation module, a warehouse monitoring database and a warehouse environment early warning processing terminal; according to the invention, the environment information inside and outside the target archive warehouse is monitored, the humidity state is assessed according to the environment information, and then the corresponding water leakage state monitoring, verification and early warning are carried out according to the humidity state assessment result, so that the problem of resource waste in the current integrated water leakage monitoring and early warning is effectively solved, unnecessary energy waste is saved, the security of paper file storage and the timeliness and effectiveness of archive warehouse early warning are effectively improved, and the stability and security of archive warehouse storage environment are further maintained.
Description
Technical Field
The invention belongs to the technical field of archive storehouse early warning, and relates to an intelligent archive storehouse intelligent early warning system based on multiple sensors.
Background
The archive warehouse is used as a key tool for ensuring the safety of the archive and protecting the value of the archive, and the papery archive is extremely easy to be interfered by factors such as temperature, humidity and the like, so that the environment of the archive warehouse needs to be monitored in real time and the environment is pre-warned.
The current archival repository environment early warning includes diversified early warning such as temperature early warning, acousto-optic early warning, smog early warning, invasion early warning and water leakage early warning, but to the water leakage early warning aspect, still has the following several aspects of shortages at present, and its concrete implementation is in: 1. the coverage of water leakage monitoring is insufficient, the water leakage monitoring is carried out only through the arranged water leakage detection equipment at present, the water leakage monitoring is more apparent, the timeliness of water leakage early warning cannot be improved, the potential safety hazard of paper files cannot be further reduced, and the storage security of the paper files is not strong.
2. At present, the integrated monitoring is that all water leakage equipment which is started to be arranged is monitored in real time, certain resource waste exists, preliminary investigation is not carried out, and therefore the monitoring energy consumption of the archive warehouse is higher.
3. At present, early warning evaluation is carried out only according to water leakage data monitored by water leakage monitoring equipment, and then early warning is carried out, so that the reliability and the accuracy of the water leakage early warning evaluation are still deficient to a certain extent, the possibility of untimely early warning and early warning is existed, the effectiveness of early warning of a file warehouse and the timeliness of early warning cannot be guaranteed, and the damage probability of stored files cannot be reduced.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the above background art, an intelligent archive warehouse early warning system based on multiple sensors is proposed.
The aim of the invention can be achieved by the following technical scheme: the invention provides an intelligent archive warehouse intelligent early warning system based on multiple sensors, which comprises: the warehouse environment monitoring module is used for starting the environment sensors arranged in the target archive warehouse and the environment monitoring points outside the target archive warehouse to monitor environment information, simultaneously starting the wind speed sensors arranged in the wind condition monitoring points in the target archive warehouse to monitor wind speed, and extracting the storage archive types in the areas of the environment monitoring points in the target archive warehouse.
The warehouse water leakage preliminary assessment module is used for assessing the humidity state, starting a primary water leakage instruction when the assessment result is in a normal state, starting a humidity early warning instruction when the assessment result is in an ultra-wet state, analyzing the current ultra-wet cause, starting a secondary water leakage instruction when the ultra-wet cause is due to internal factors, and otherwise starting the primary water leakage instruction.
The primary water leakage monitoring module is used for monitoring the primary water leakage state of the target archive warehouse when the primary water leakage instruction is started, so as to obtain primary water leakage state information.
The secondary water leakage monitoring module is used for monitoring the primary water leakage state and the secondary water leakage state of the target archive warehouse when the secondary water leakage instruction is started, so as to obtain primary water leakage state information and secondary water leakage state information.
The water leakage early warning verification and evaluation module is used for verifying the water leakage state, and starting a water leakage early warning instruction when the verification result is that water leakage exists.
The warehouse monitoring database is used for storing the apparent images of each water leakage monitoring area when the history of the target archive warehouse is monitored each time and the monitoring date when the history is monitored each time.
And the warehouse environment early warning processing terminal is used for carrying out ultra-humidity early warning when receiving the humidity early warning instruction, starting the dehumidifying equipment to dehumidify, carrying out water leakage early warning when receiving the water leakage early warning instruction, and sending the water leakage maintenance instruction to a target archive warehouse operation and maintenance manager.
Preferably, the environmental information includes temperature and humidity, and the environmental sensor includes a temperature sensor and a humidity sensor, wherein the temperature sensor is used for temperature monitoring, and the humidity sensor is used for humidity monitoring.
Preferably, the humidity state evaluation is performed by the specific evaluation process: matching and comparing the storage file types in the area of each environment monitoring point with the set suitable storage humidity intervals corresponding to the storage file types to obtain the suitable storage humidity intervals corresponding to the storage file types in the area of each environment monitoring point, and taking the suitable storage humidity intervals as the allowable humidity intervals of each environment monitoring point.
And positioning humidity from the environmental information monitored by each environmental monitoring point in the target archive warehouse, comparing the humidity monitored by each environmental monitoring point with the allowable humidity interval, and judging that the humidity state of the target archive warehouse is an ultra-wet state if the humidity monitored by a certain environmental monitoring point exceeds the upper limit value of the allowable humidity interval.
If the humidity monitored by each environment monitoring point is in the allowable humidity range, the humidity state of the target archive warehouse is judged to be a normal state.
Preferably, the analyzing the current super-wet cause comprises: and respectively marking each environment monitoring point in the target archive warehouse and each environment monitoring point outside the target archive warehouse as each internal environment monitoring point and each external environment monitoring point.
The temperature is respectively extracted from the environmental information monitored by each internal environmental monitoring point and each external environmental monitoring point, and then the average monitoring temperature of the internal environmental monitoring points is respectively calculated by means of average calculationAnd the average monitoring temperature of the external environment monitoring point +.>。
Extracting the highest temperature from the temperatures monitored by the external environment monitoring points and marking the highest temperature asExtracting humidity from environment information monitored by each external environment monitoring point, and obtaining average monitoring humidity of the external environment monitoring points through average value calculation>。
Monitoring wind in each wind condition monitoring point in target archive warehouseCalculating the average value to obtain the corresponding average internal wind speed in the target archive warehouse。
Counting external super-wet guiding degree of target archive warehouse，/>，Representing a downward rounding symbol, < >>The reference internal and external temperature difference, the external environment temperature, the external humidity and the internal wind speed under the condition of the interference indoor humidity are respectively set.
If it isThe external factors are used as the current super-wet leading cause, if +.>The internal factor is taken as the current super-wet cause.
Preferably, the primary water leakage state information comprises an apparent image of each water leakage monitoring area and a monitoring humidity value of each primary water leakage monitoring point.
Preferably, the water leakage state verification is used for performing water leakage state verification when a primary water leakage instruction is received, and the method comprises the following steps: and extracting apparent images of the water leakage monitoring areas from the primary water leakage state information to serve as current apparent images of the water leakage monitoring areas.
Extracting apparent images of each water leakage monitoring area and monitoring dates of each time of history monitoring of the target archive warehouse from a warehouse monitoring database, recording historical monitoring with least days of date interval with the current as target monitoring, and taking the apparent images of each water leakage monitoring area as reference apparent images of each water leakage monitoring area during target monitoring.
If no water leakage track exists in the current apparent image of each water leakage monitoring area, extracting the monitoring humidity value of each level of water leakage monitoring point, if the monitoring humidity value of a certain level of water leakage monitoring point is larger than or equal to a set allowable humidity value, taking the water leakage as a verification result of the water leakage state of the target archive warehouse, and if the monitoring humidity value of each level of water leakage monitoring point is smaller than the set allowable humidity value, taking the water leakage as a verification result of the water leakage state of the target archive warehouse.
If the current apparent image of a certain water leakage monitoring area has water leakage tracks, the water leakage monitoring area is marked as an area to be confirmed, a reference apparent image of the area to be confirmed is extracted, and if the reference apparent image of the area to be confirmed does not have water leakage tracks, water leakage exists as a verification result of the water leakage state of the target archive warehouse.
If water leakage tracks exist in the reference apparent image of the area to be confirmed, water leakage track contours are respectively extracted from the current apparent image and the water leakage apparent image of the area to be confirmed, then the areas of the overlapped water leakage tracks are obtained through overlapping comparison, and water leakage trend indexes of the area to be confirmed are counted.
If the leak trend index of the area to be confirmed is greater than 0, the leak is used as a verification result of the leak state of the target archive warehouse, otherwise, no leak is used as a verification result of the leak state of the target archive warehouse.
Preferably, the counting the water leakage trend index of the area to be confirmed includes: the ratio of the area of the water leakage track overlapped with the area of the water leakage track corresponding to the outline area in the current apparent image is recorded as。
The monitoring humidity value of each primary water leakage monitoring point is recorded as，/>Representing oneThe serial numbers of the stage water leakage monitoring points,counting water leakage trend index of area to be confirmed>，/>，/>The humidity value is monitored for the set license.
Preferably, the secondary water leakage state information comprises flow velocity and pressure which are correspondingly monitored by all water pipe monitoring points, humidity values which are correspondingly monitored by all air outlet monitoring points and infrared thermosensitive images of all water leakage monitoring areas.
Preferably, the performing the water leakage state verification is used for performing the water leakage state verification when the secondary water leakage instruction is received, and the method comprises the following steps: and extracting the primary water leakage state information of the target archive warehouse, and obtaining a primary water leakage state verification result of the target archive warehouse according to the same water leakage state verification mode when the primary water leakage instruction is received.
When the verification result of the preliminary water leakage state of the target archive warehouse is that water leakage exists, the water leakage exists as the verification result of the water leakage state of the target archive warehouse.
When the verification result of the primary water leakage state of the target archive warehouse is that water leakage does not exist, extracting infrared thermosensitive images of all water leakage monitoring areas from the secondary water leakage state information, and accordingly counting the abnormal degree of the temperature distribution of the target archive warehouse。
Extracting flow velocity and pressure which are correspondingly monitored by each water pipe monitoring point from the secondary water leakage state information and respectively marking the flow velocity and the pressure asAnd->Simultaneously extracting humidity values which are correspondingly monitored at all air outlet monitoring points>，/>The number of the monitoring point of the water pipe is represented,，/>indicating the number of the air outlet monitoring point, and ∈ ->Counting abnormality degree of water body state of target archive warehouse，/>，/>The number of the monitoring points of the water pipe is represented,respectively set reference water pipe flow speed difference, water pipe pressure difference and air outlet humidity.
If it isOr->If the verification result is true, taking the water leakage as the verification result of the water leakage state of the target archive warehouse, ifAnd->At the same time, the purpose is that no water leakage existsAnd (5) verifying the water leakage state of the file warehouse.
Preferably, the counting the temperature distribution anomaly degree of the target archive warehouse includes: locating the distribution temperature value of each temperature distribution area from the infrared thermosensitive image of each water leakage monitoring area, and screening the highest distribution temperature value and the lowest distribution temperature value from the distribution temperature values to obtain the distribution temperature difference of each water leakage monitoring areaAt the same time, the average distribution temperature value corresponding to each water leakage monitoring area is obtained through average value calculation>，/>Indicating the water leakage monitoring area number>。
The lowest distribution temperature value of each water leakage monitoring area is recorded asCounting the temperature distribution abnormality degree of the target archive warehouse>，/>，/>The difference is the distribution temperature extreme value and the distribution low temperature deviation value of the set reference.
Compared with the prior art, the invention has the following beneficial effects: (1) According to the method, the temperature and humidity inside and outside the target archive warehouse are monitored, the wind speed in the target archive warehouse is monitored, the humidity state is assessed according to the temperature and humidity, and then the corresponding water leakage state monitoring, verification and early warning are carried out according to the humidity state assessment result, so that the problem of resource waste in the current integrated water leakage monitoring is effectively solved, the corresponding water leakage state monitoring is carried out in a preliminary investigation mode, the grading monitoring of the water leakage state is realized, unnecessary energy waste is saved, the energy saving effect is remarkably improved, the deep monitoring of the water leakage state of the archive warehouse is realized, and the guarantee of paper file storage and the timeliness and effectiveness of the archive warehouse early warning are further effectively improved.
(2) According to the invention, when the humidity state is in the super-wet state, the super-wet cause analysis is carried out according to the temperature and humidity inside and outside the target archive warehouse and the wind speed condition inside the target archive warehouse, so that archive warehouse maintenance personnel can conveniently know the current states of various humidity abnormality factors, the reason of the humidity abnormality can be analyzed more comprehensively, meanwhile, reliable evaluation basis is provided for the selection of the water leakage state monitoring mode, the suitability of the selection of the subsequent water leakage state monitoring mode and the pertinence of the subsequent water leakage state monitoring are improved, the energy loss caused by unnecessary detection is reduced, the limitation of the detection of the current conventional water leakage problem is avoided, the accuracy and the reliability of the water leakage detection are improved, and the development of the subsequent water leakage preventive measures and the repairing measures of the archive warehouse is facilitated.
(3) According to the invention, through hierarchical water leakage state monitoring, not only is the coverage of water leakage monitoring improved, but also the rationality of water leakage monitoring of the archive storehouse and the timeliness of water leakage early warning of the subsequent archive storehouse are improved, and the deep monitoring of the visual layer and the invisible layer of the archive storehouse is realized, so that the reliability and persuasion of water leakage state monitoring are improved.
(4) According to the invention, the primary water leakage state information and the secondary water leakage state information are subjected to detailed analysis in real time, so that the hierarchical water leakage state verification is performed, the reliability and the accuracy of a water leakage early warning judgment result are effectively improved, the potential safety hazard of a paper file is further reduced, the storage safety and the storage environment adaptability of the paper file are improved, the defect of the current single information dimension assessment is avoided, the possibility of untimely early warning and early warning is also reduced, the effectiveness of early warning of a archives warehouse is ensured, and the damage probability of archives stored in the archives warehouse is further reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the connection of the modules of the system of the present invention.
FIG. 2 is a schematic diagram of a water leakage early warning process flow according to the present invention.
FIG. 3 is a flow chart of the humidity state assessment according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 to 2, the invention provides an intelligent archive warehouse intelligent early warning system based on multiple sensors, which comprises a warehouse environment monitoring module, a warehouse water leakage preliminary evaluation module, a primary water leakage monitoring module, a secondary water leakage monitoring module, a water leakage early warning verification evaluation module, a warehouse monitoring database and a warehouse environment early warning processing terminal.
In the above, the warehouse water leakage preliminary evaluation module is respectively connected with the warehouse environment monitoring module, the primary water leakage monitoring module and the secondary water leakage monitoring module, and the water leakage early warning verification evaluation module is respectively connected with the primary water leakage monitoring module, the secondary water leakage monitoring module, the warehouse monitoring database and the warehouse environment early warning processing terminal.
The warehouse environment monitoring module is used for starting environment sensors arranged in the target archive warehouse and each environment monitoring point outside the target archive warehouse to monitor environment information, simultaneously starting wind speed sensors arranged in each wind condition monitoring point in the target archive warehouse to monitor wind speed, and extracting the storage archive types in the area of each environment monitoring point in the target archive warehouse.
Specifically, the environmental information includes temperature and humidity, and the environmental sensor includes a temperature sensor and a humidity sensor, wherein the temperature sensor is used for temperature monitoring, and the humidity sensor is used for humidity monitoring.
The warehouse water leakage preliminary assessment module is used for assessing the humidity state, starting a primary water leakage instruction when the assessment result is in a normal state, starting a humidity early warning instruction when the assessment result is in an ultra-wet state, analyzing the current ultra-wet cause, starting a secondary water leakage instruction when the ultra-wet cause is due to internal factors, and starting the primary water leakage instruction otherwise.
Illustratively, the humidity state assessment is performed by the following specific assessment procedures: the first step, matching and comparing the storage file types in the area of each environmental monitoring point with the set suitable storage humidity intervals corresponding to the storage file types, and obtaining the suitable storage humidity intervals corresponding to the storage file types in the area of each environmental monitoring point as the allowable humidity intervals of each environmental monitoring point.
In one embodiment, the types of stored files include, but are not limited to, contracts, pictures, data and health files, and the humidity of the paper file store is generally controlled to be within a certain range, and the humidity range is reduced according to the types of stored files.
And secondly, positioning humidity from the environmental information monitored by each environmental monitoring point in the target archive warehouse, comparing the humidity monitored by each environmental monitoring point with the allowable humidity interval, and judging that the humidity state of the target archive warehouse is an ultra-wet state if the humidity monitored by a certain environmental monitoring point exceeds the upper limit value of the allowable humidity interval.
And thirdly, if the humidity monitored by each environmental monitoring point is in the allowable humidity range, judging that the humidity state of the target archive warehouse is in a normal state, wherein as shown in fig. 3, a comparison result 1 shows that the humidity monitored by a certain environmental monitoring point exceeds the upper limit value of the allowable humidity range, and a comparison result 2 shows that the humidity monitored by each environmental monitoring point is in the allowable humidity range.
Further, analyzing the current super-wet cause includes: a1, respectively marking each environment monitoring point in the target archive warehouse and outside the target archive warehouse as each internal environment monitoring point and each external environment monitoring point.
A2, respectively extracting the temperature from the environmental information monitored by each internal environmental monitoring point and each external environmental monitoring point, and further respectively calculating the average monitoring temperature of the internal environmental monitoring points through average value calculationAnd the average monitoring temperature of the external environment monitoring point +.>。
A3, extracting the highest temperature from the temperatures monitored by all external environment monitoring points, and marking asExtracting humidity from environment information monitored by each external environment monitoring point, and obtaining average monitored humidity of the external environment monitoring points through average value calculation。
A4, carrying out average value calculation on the wind speeds monitored in all wind condition monitoring points in the target archive warehouse to obtain corresponding average internal wind speeds in the target archive warehouse。
A5, counting the external super-wet guiding degree of the target archive warehouse，/>，Representing a downward rounding symbol, < >>The reference internal and external temperature difference, the external environment temperature, the external humidity and the internal wind speed under the condition of the interference indoor humidity are respectively set.
In a specific embodiment, the increase of the humidity of the archive storehouse is affected by the external humidity, the external high-temperature environment, the temperature difference between the outside and the inside, the indoor air circulation condition, the indoor water leakage and other factors, when the external environment humidity is higher, the wet air can enter the storehouse through doors and windows, ventilation openings and the like, so that the humidity in the storehouse is increased, when the external high-temperature air enters the storehouse, the condensation water is easily formed under the action of the temperature difference, the humidity in the storehouse is increased, when the flow rate of the internal air is smaller, namely the wind speed is smaller, the humidity cannot be effectively regulated and controlled, and the humidity is increased, therefore, four parameters including the temperature difference, the external temperature, the external humidity and the internal wind speed are selected as judgment conditions of the super-humidity factor.
A6, ifThe external factors are used as the current super-wet leading cause, if +.>The internal factor is taken as the current super-wet cause.
According to the embodiment of the invention, when the humidity state is in the super-wet state, the super-wet cause analysis is carried out according to the temperature and humidity inside and outside the target archive warehouse and the wind speed condition inside the target archive warehouse, so that archive warehouse maintenance personnel can conveniently know the current state of various factors possibly causing humidity abnormality, the reason of the humidity abnormality can be analyzed more comprehensively, meanwhile, reliable evaluation basis is provided for the selection of the water leakage state monitoring mode, the suitability of the selection of the follow-up water leakage state monitoring mode and the pertinence of the follow-up water leakage state monitoring are improved, the energy loss caused by unnecessary detection is reduced, the limitation of the detection of the current conventional water leakage problem is avoided, the accuracy and the reliability of the water leakage detection are improved, and the follow-up water leakage preventive measures and the restoration measures of the archive warehouse are facilitated.
The primary water leakage monitoring module is used for monitoring the primary water leakage state of the target archive warehouse when the primary water leakage instruction is started, and obtaining primary water leakage state information.
Specifically, the primary water leakage state information includes an apparent image of each water leakage monitoring area and a monitored humidity value of each primary water leakage monitoring point.
In a specific embodiment, a rotatable high-definition camera arranged in the archive warehouse is used for monitoring, the monitored humidity value of the water leakage monitoring point is obtained through monitoring by a humidity sensor arranged in the water leakage monitoring point, and the primary water leakage monitoring point refers to monitoring points arranged in the area where the door and the window are arranged.
The secondary water leakage monitoring module is used for monitoring the primary water leakage state and the secondary water leakage state of the target archive warehouse when the secondary water leakage instruction is started, and obtaining primary water leakage state information and secondary water leakage state information.
Specifically, the secondary water leakage state information comprises flow velocity and pressure which are correspondingly monitored by all water pipe monitoring points, humidity values which are correspondingly monitored by all air outlet monitoring points and infrared thermosensitive images of all water leakage monitoring areas.
In a specific embodiment, the flow rate and the pressure of each water pipe monitoring point are obtained through monitoring by a flow rate sensor and a pressure sensor which are arranged in a pipeline where each pipeline monitoring point is located, the humidity value of each air-out monitoring point is obtained through monitoring by a humidity sensor arranged in the air-out monitoring point, and the infrared thermosensitive image of each water leakage monitoring area is obtained through monitoring by an infrared camera arranged in the archive warehouse.
It should be noted that the air outlet monitoring point indicates a monitoring point in the tuyere position.
According to the embodiment of the invention, through hierarchical water leakage state monitoring, not only is the coverage of water leakage monitoring improved, but also the rationality of water leakage monitoring of the archive storehouse and the timeliness of water leakage early warning of the subsequent archive storehouse are improved, and the deep monitoring of the visual layer and the invisible layer of the archive storehouse is realized, so that the reliability and persuasion of water leakage state monitoring are improved.
The water leakage early warning verification and evaluation module is used for verifying the water leakage state, and starting a water leakage early warning instruction when the verification result is that water leakage exists.
Specifically, performing the water leakage state verification for performing the water leakage state verification when the primary water leakage instruction is received includes: b1, extracting apparent images of all water leakage monitoring areas from the primary water leakage state information, and taking the apparent images as current apparent images of all water leakage monitoring areas.
And B2, extracting apparent images of each water leakage monitoring area and monitoring dates of each time of history monitoring of the target archive warehouse from a warehouse monitoring database, marking the history monitoring with the least date and time interval to the current date as target monitoring, and taking the apparent images of each water leakage monitoring area as reference apparent images of each water leakage monitoring area during target monitoring.
And B3, extracting the monitoring humidity value of each level of water leakage monitoring point if no water leakage track exists in the current apparent image of each water leakage monitoring area, taking the water leakage as a verification result of the water leakage state of the target archive warehouse if the monitoring humidity value of a certain level of water leakage monitoring point is greater than or equal to a set allowable humidity value, and taking the water leakage as a verification result of the water leakage state of the target archive warehouse if the monitoring humidity value of each level of water leakage monitoring point is smaller than the set allowable humidity value.
And B4, if the current apparent image of a certain water leakage monitoring area has water leakage tracks, marking the water leakage monitoring area as an area to be confirmed, extracting a reference apparent image of the area to be confirmed, and if the reference apparent image of the area to be confirmed does not have water leakage tracks, taking the water leakage as a verification result of the water leakage state of the target archive warehouse.
And B5, if the water leakage water trace exists in the reference apparent image of the area to be confirmed, respectively extracting the water leakage water trace outline from the current apparent image and the water leakage apparent image of the area to be confirmed, further obtaining the area of the overlapped water leakage water trace by overlapping comparison, and counting the water leakage trend index of the area to be confirmed.
Understandably, counting the water leakage trend index of the area to be confirmed includes: the ratio of the area of the water leakage track overlapped with the area of the water leakage track corresponding to the outline area in the current apparent image is recorded as。
The monitoring humidity value of each primary water leakage monitoring point is recorded as，/>The number of the first-level water leakage monitoring point is represented,counting water leakage trend index of area to be confirmed>，/>，/>To set the allowable monitoring humidity value,/>Is indicated at->And->The middle takes the maximum value->Indicate->Humidity deviation degree of each first-level water leakage monitoring point, < >>And the maximum value is shown in the humidity deviation degree of each stage of water leakage monitoring points.
And B6, if the water leakage trend index of the area to be confirmed is greater than 0, taking the water leakage as a verification result of the water leakage state of the target archive warehouse, otherwise taking the water leakage absence as a verification result of the water leakage state of the target archive warehouse.
Still more specifically, performing the water leakage state verification for performing the water leakage state verification when the secondary water leakage instruction is received includes: and C1, extracting the primary water leakage state information of the target archive warehouse, and obtaining a primary water leakage state verification result of the target archive warehouse according to the same water leakage state verification mode when the primary water leakage instruction is received.
And C2, when the verification result of the preliminary water leakage state of the target archive warehouse is that water leakage exists, taking the water leakage as the verification result of the water leakage state of the target archive warehouse.
C3, when the verification result of the preliminary water leakage state of the target archive warehouse is that water leakage does not exist, extracting infrared thermosensitive images of all water leakage monitoring areas from the secondary water leakage state information, and accordingly counting the abnormal degree of the temperature distribution of the target archive warehouse。
Understandably, counting temperature profile anomalies for a target archive includes: c3-1, locating the distribution temperature value of each temperature distribution area from the infrared thermosensitive image of each water leakage monitoring area, and screening the highest distribution temperature value and the lowest distribution temperature value from the distribution temperature values, and obtaining the distribution temperature difference of each water leakage monitoring area by differencingAt the same time, the average distribution temperature value corresponding to each water leakage monitoring area is obtained through average value calculation>，/>Indicating the water leakage monitoring area number>。
C3-2, recording the lowest distribution temperature value of each water leakage monitoring area asCounting the temperature distribution abnormality degree of the target archive warehouse>，/>，/>The difference is the distribution temperature extreme value and the distribution low temperature deviation value of the set reference.
In one embodiment, the thermal conductivity properties of the wall material may be affected by moisture. Some materials may have poor thermal conductivity under humid conditions, which may cause the thermal conductivity of the wall to change, thereby affecting the temperature distribution of the wall, causing some areas to increase in temperature and other areas to decrease in temperature, while moisture permeates into the wall and evaporates, releasing latent heat, thereby causing the temperature of the nearby areas to decrease.
C3, extracting the flow velocity and pressure which are correspondingly monitored by each water pipe monitoring point from the secondary water leakage state information and respectively marking asAnd->Simultaneously extracting humidity values which are correspondingly monitored at all air outlet monitoring points>，/>Indicating water pipeThe number of the monitoring point is given,，/>indicating the number of the air outlet monitoring point, and ∈ ->Counting water body state anomaly degree of target archive storehouse>，，/>The number of the monitoring points of the water pipe is represented,respectively set water pipe flow speed difference, water pipe pressure difference and air outlet humidity of reference>Andrespectively expressed as the minimum value of the flow rate and the pressure which are correspondingly monitored at each water pipe monitoring point>And (5) representing that the maximum value is taken in the humidity value correspondingly monitored by each air outlet monitoring point.
In one embodiment, the lower the water pressure, the lower the flow rate the more abnormal the surface water tube, the more prone to leakage, the higher the outlet humidity, and the more prone to water leakage.
C4, ifOr->Is established and will be storedIf +.>And->Meanwhile, if the situation is established, the situation that no water leakage exists is used as a verification result of the water leakage state of the target archive warehouse.
According to the embodiment of the invention, the primary water leakage state information and the secondary water leakage state information are subjected to detailed analysis in real time, so that the hierarchical water leakage state verification is further performed, the reliability and the accuracy of a water leakage early warning judgment result are effectively improved, the potential safety hazard of paper files is further reduced, the storage safety and the storage environment adaptability of the paper files are improved, the defect of the current single information dimension assessment is avoided, the possibility of untimely early warning and early warning is also reduced, the effectiveness of the early warning of a archives warehouse is ensured, and the damage probability of archives stored in the archives warehouse is further reduced.
The warehouse monitoring database is used for storing the apparent images of each water leakage monitoring area when the histories of the target archives are monitored each time and the monitoring date when the histories are monitored each time.
And the warehouse environment early warning processing terminal is used for carrying out ultra-humidity early warning when receiving the humidity early warning instruction, starting the dehumidifying equipment to dehumidify, carrying out water leakage early warning when receiving the water leakage early warning instruction, and sending a water leakage maintenance instruction to a target archive warehouse operation and maintenance manager.
According to the embodiment of the invention, the humiture inside and outside the target archive warehouse is monitored, the wind speed in the target archive warehouse is monitored, the humidity state is assessed according to the temperature and humidity, and then the corresponding water leakage state monitoring, verification and early warning are carried out according to the humidity state assessment result, so that the problem of resource waste in the current integrated water leakage monitoring is effectively solved, the corresponding water leakage state monitoring is carried out in a preliminary investigation mode, the grading monitoring of the water leakage state is realized, the unnecessary energy waste is saved, the energy saving effect is remarkably improved, the deep monitoring of the water leakage state of the archive warehouse is realized, and the guarantee of paper file storage and the timeliness and effectiveness of the archive warehouse early warning are further effectively improved.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (8)
1. Intelligent archive storehouse intelligent early warning system based on multisensor, its characterized in that: the system comprises:
the warehouse environment monitoring module is used for starting environment sensors arranged in the target archive warehouse and each environment monitoring point outside the target archive warehouse to monitor environment information, simultaneously starting wind speed sensors arranged in each wind condition monitoring point in the target archive warehouse to monitor wind speed, and extracting the storage archive type in the area of each environment monitoring point in the target archive warehouse;
the environment information comprises temperature and humidity, the environment sensor comprises a temperature sensor and a humidity sensor, wherein the temperature sensor is used for temperature monitoring, and the humidity sensor is used for humidity monitoring;
the warehouse water leakage preliminary assessment module is used for assessing the humidity state, starting a primary water leakage instruction when the assessment result is in a normal state, starting a humidity early warning instruction when the assessment result is in an ultra-wet state, analyzing the current ultra-wet cause, and starting a secondary water leakage instruction when the ultra-wet cause is due to internal factors, otherwise starting the primary water leakage instruction;
the analysis of the current super-wet cause comprises:
marking each environment monitoring point in the target archive storehouse and outside the target archive storehouse as each internal environment monitoring point and each external environment monitoring point respectively;
extracting temperature from environment information monitored by each internal environment monitoring point and each external environment monitoring point respectively, and then communicatingRespectively calculating the average monitoring temperature of the internal environment monitoring points through the average value calculationAnd the average monitoring temperature of the external environment monitoring point +.>；
Extracting the highest temperature from the temperatures monitored by the external environment monitoring points and marking the highest temperature asExtracting humidity from environment information monitored by each external environment monitoring point, and obtaining average monitoring humidity of the external environment monitoring points through average value calculation>；
Average value calculation is carried out on the wind speeds monitored in all wind condition monitoring points in the target archive warehouse to obtain the corresponding average internal wind speed in the target archive warehouse；
Counting external super-wet guiding degree of target archive warehouse，/>，/>Representing a downward rounding symbol, < >>Respectively setting a reference internal and external temperature difference, an external environment temperature, an external humidity and an internal wind speed under the condition of interfering indoor humidity;
if it isThe external factors are used as the current super-wet leading cause, if +.>Taking the internal factors as the current super-humidity leading factors;
the primary water leakage monitoring module is used for monitoring the primary water leakage state of the target archive warehouse when the primary water leakage instruction is started, so as to obtain primary water leakage state information;
the secondary water leakage monitoring module is used for monitoring the primary water leakage state and the secondary water leakage state of the target archive warehouse when the secondary water leakage instruction is started to obtain primary water leakage state information and secondary water leakage state information;
the water leakage early warning verification and evaluation module is used for verifying the water leakage state, and starting a water leakage early warning instruction when the verification result is that water leakage exists;
the warehouse monitoring database is used for storing the apparent images of each water leakage monitoring area when the history of the target archive warehouse is monitored each time and the monitoring date when the history is monitored each time;
and the warehouse environment early warning processing terminal is used for carrying out ultra-humidity early warning when receiving the humidity early warning instruction, starting the dehumidifying equipment to dehumidify, carrying out water leakage early warning when receiving the water leakage early warning instruction, and sending the water leakage maintenance instruction to a target archive warehouse operation and maintenance manager.
2. The intelligent pre-warning system for a smart archive warehouse based on multiple sensors of claim 1, wherein: the humidity state evaluation is carried out, and the specific evaluation process is as follows:
matching and comparing the storage file types in the area of each environment monitoring point with the set suitable storage humidity intervals corresponding to the storage file types to obtain the suitable storage humidity intervals corresponding to the storage file types in the area of each environment monitoring point, and taking the suitable storage humidity intervals as the allowable humidity intervals of each environment monitoring point;
positioning humidity from environment information monitored by each environment monitoring point in the target archive warehouse, comparing the humidity monitored by each environment monitoring point with a permissible humidity interval thereof, and judging that the humidity state of the target archive warehouse is an ultra-wet state if the humidity monitored by a certain environment monitoring point exceeds the upper limit value of the permissible humidity interval;
if the humidity monitored by each environment monitoring point is in the allowable humidity range, the humidity state of the target archive warehouse is judged to be a normal state.
3. The intelligent pre-warning system for a smart archive warehouse based on multiple sensors of claim 1, wherein: the primary water leakage state information comprises apparent images of water leakage monitoring areas and monitoring humidity values of primary water leakage monitoring points.
4. The intelligent pre-warning system for a smart archive warehouse based on multiple sensors as claimed in claim 3, wherein: the water leakage state verification is used for verifying the water leakage state when a primary water leakage instruction is received, and comprises the following steps:
extracting apparent images of all water leakage monitoring areas from the primary water leakage state information to serve as current apparent images of all water leakage monitoring areas;
extracting apparent images of each water leakage monitoring area and monitoring dates of each time of history monitoring of a target archive warehouse from a warehouse monitoring database, recording historical monitoring with least days of date intervals with the current date as target monitoring, and taking the apparent images of each water leakage monitoring area as reference apparent images of each water leakage monitoring area during target monitoring;
if no water leakage track exists in the current apparent image of each water leakage monitoring area, extracting the monitoring humidity value of each level of water leakage monitoring point, if the monitoring humidity value of a certain level of water leakage monitoring point is larger than or equal to a set allowable humidity value, taking the water leakage as a verification result of the water leakage state of the target archive warehouse, and if the monitoring humidity value of each level of water leakage monitoring point is smaller than the set allowable humidity value, taking the water leakage as a verification result of the water leakage state of the target archive warehouse;
if the current apparent image of a certain water leakage monitoring area has water leakage tracks, marking the water leakage monitoring area as an area to be confirmed, extracting a reference apparent image of the area to be confirmed, and if the reference apparent image of the area to be confirmed does not have water leakage tracks, taking the water leakage as a verification result of the water leakage state of the target archive warehouse;
if water leakage tracks exist in the reference apparent image of the area to be confirmed, respectively extracting water leakage track contours from the current apparent image and the water leakage apparent image of the area to be confirmed, further overlapping and comparing to obtain the area of overlapping water leakage tracks, and counting the water leakage trend index of the area to be confirmed;
if the leak trend index of the area to be confirmed is greater than 0, the leak is used as a verification result of the leak state of the target archive warehouse, otherwise, no leak is used as a verification result of the leak state of the target archive warehouse.
5. The intelligent pre-warning system for a smart archive warehouse based on multiple sensors as claimed in claim 4, wherein: the water leakage trend index of the area to be confirmed is counted, and the water leakage trend index comprises:
the ratio of the area of the water leakage track overlapped with the area of the water leakage track corresponding to the outline area in the current apparent image is recorded as；
The monitoring humidity value of each primary water leakage monitoring point is recorded as，/>Representing the number of the first-level water leakage monitoring point and->Counting water leakage trend index of area to be confirmed>，/>，/>The humidity value is monitored for the set license.
6. The intelligent pre-warning system for a smart archive warehouse based on multiple sensors as claimed in claim 4, wherein: the secondary water leakage state information comprises flow speed and pressure which are correspondingly monitored by all water pipe monitoring points, humidity values which are correspondingly monitored by all air outlet monitoring points and infrared thermosensitive images of all water leakage monitoring areas.
7. The intelligent pre-warning system for a smart archive warehouse based on multiple sensors of claim 6, wherein: the water leakage state verification is used for verifying the water leakage state when a secondary water leakage instruction is received, and comprises the following steps:
extracting first-level water leakage state information of the target archive warehouse, and obtaining a preliminary water leakage state verification result of the target archive warehouse according to the same water leakage state verification mode when a first-level water leakage instruction is received;
when the verification result of the preliminary water leakage state of the target archive warehouse is that water leakage exists, the water leakage exists as the verification result of the water leakage state of the target archive warehouse;
when the verification result of the primary water leakage state of the target archive warehouse is that water leakage does not exist, extracting infrared thermosensitive images of all water leakage monitoring areas from the secondary water leakage state information, and accordingly counting the abnormal degree of the temperature distribution of the target archive warehouse；
Extracting flow velocity and pressure which are correspondingly monitored by each water pipe monitoring point from the secondary water leakage state information and respectively marking the flow velocity and the pressure asAnd->Simultaneously extracting humidity values which are correspondingly monitored at all air outlet monitoring points>，/>The number of the monitoring point of the water pipe is represented,，/>indicating the number of the air outlet monitoring point, and ∈ ->Counting abnormality degree of water body state of target archive warehouse，/>，/>Indicating the number of water pipe monitoring points->Respectively setting a water pipe flow speed difference, a water pipe pressure difference and an air outlet humidity of a reference;
if it isOr->If true, taking the water leakage as the water leakage state of the target archive warehouseVerify the result if->And->Meanwhile, if the situation is established, the situation that no water leakage exists is used as a verification result of the water leakage state of the target archive warehouse.
8. The intelligent pre-warning system for a smart archive warehouse based on multiple sensors of claim 7, wherein: the counting the temperature distribution anomaly degree of the target archive warehouse comprises the following steps:
locating the distribution temperature value of each temperature distribution area from the infrared thermosensitive image of each water leakage monitoring area, and screening the highest distribution temperature value and the lowest distribution temperature value from the distribution temperature values to obtain the distribution temperature difference of each water leakage monitoring areaAt the same time, the average distribution temperature value corresponding to each water leakage monitoring area is obtained through average value calculation>，/>Indicating the water leakage monitoring area number>；
The lowest distribution temperature value of each water leakage monitoring area is recorded asCounting abnormal degree of temperature distribution of target archive warehouse，/>，/>The difference is the distribution temperature extreme value and the distribution low temperature deviation value of the set reference.
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