CN116721002B - Intelligent Internet of things management system suitable for museum - Google Patents

Intelligent Internet of things management system suitable for museum Download PDF

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CN116721002B
CN116721002B CN202311004163.2A CN202311004163A CN116721002B CN 116721002 B CN116721002 B CN 116721002B CN 202311004163 A CN202311004163 A CN 202311004163A CN 116721002 B CN116721002 B CN 116721002B
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CN116721002A (en
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邰如林
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Tianjin Wangda Wenbo Exhibition Co ltd
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    • A47FSPECIAL FURNITURE, FITTINGS, OR ACCESSORIES FOR SHOPS, STOREHOUSES, BARS, RESTAURANTS OR THE LIKE; PAYING COUNTERS
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    • A47FSPECIAL FURNITURE, FITTINGS, OR ACCESSORIES FOR SHOPS, STOREHOUSES, BARS, RESTAURANTS OR THE LIKE; PAYING COUNTERS
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    • G16Y20/00Information sensed or collected by the things
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Abstract

The application provides an intelligent internet of things management system suitable for a museum, which belongs to the technical field of museum management and is used for solving the problem that the museum management system is difficult to better realize cultural relic preservation condition management in the related art. In the system, the setting environment of each showcase is determined reasonably, and the inspection strategy can be generally determined according to the abnormal fluctuation frequency of the environment of each showcase, so that the environment for maintaining the cultural relics in the showcase for long time can be guaranteed.

Description

Intelligent Internet of things management system suitable for museum
Technical Field
The application relates to the technical field of museum management, in particular to an intelligent Internet of things management system suitable for a museum.
Background
In museum management work, management of cultural relics preservation is of great importance. In order to enable the cultural relics to be preserved for a longer time, a proper preservation environment must be provided for the cultural relics. Museum content is typically stored in a museum showcase, and an environment suitable for storing the content is configured in the museum showcase, for example, to provide a suitable temperature and humidity, etc. However, during operation, the museum showcase is difficult to avoid being abnormally damaged, so that the environment in which the cultural relics are stored fluctuates. Avoiding fluctuations in the preservation environment of the cultural relics as much as possible is a continuing problem addressed by those skilled in the art.
Disclosure of Invention
The application provides an intelligent internet of things management system suitable for a museum, which can guide staff in the museum to patrol showcases so as to guarantee the environment of cultural relics preservation and better realize management of cultural relics preservation conditions.
The intelligent Internet of things management system suitable for the museum provided by the application specifically adopts the following technical scheme.
An intelligent internet of things management system suitable for a museum comprises a management platform, a plurality of showcase management subsystems and a plurality of management terminals, wherein the showcase management subsystems and the management terminals are connected with the management platform;
the showcase management subsystem comprises a temperature acquisition module, a humidity acquisition module, an image acquisition module and a showcase monitoring module;
the temperature acquisition module is used for acquiring temperature data in the showcase, the humidity acquisition module is used for acquiring humidity data in the showcase, the image acquisition module is used for acquiring image data in the showcase, and the showcase monitoring module is respectively connected with the temperature acquisition module, the humidity acquisition module and the image acquisition module so as to receive the temperature data, the humidity data and the image data;
the showcase monitoring module is configured to:
acquiring the temperature data, the humidity data and the image data;
based on an image recognition technology, analyzing cultural relic attribute information of a plurality of cultural relics stored in a large showcase according to the image data;
determining recommended environment information according to the attribute information of each cultural relic based on a preset analysis rule, wherein the recommended environment information comprises recommended temperature data and recommended humidity data;
determining setting environment information according to recommended environment information and pre-acquired setting selection information, wherein the setting environment information comprises setting temperature data and setting humidity data;
generating abnormal record information, wherein the abnormal record information comprises records that the difference value between temperature data and set temperature data exceeds a preset temperature difference threshold value and records that the difference value between humidity data and set humidity data exceeds a preset humidity difference threshold value;
the management platform is configured to:
acquiring abnormal record information of each showcase management subsystem;
calculating abnormal degree data of each showcase according to the abnormal record information based on a preset calculation rule;
and generating patrol strategy information according to all the abnormal data, wherein the patrol strategy information is used for being sent to the management terminal.
Through adopting above-mentioned technical scheme, in this intelligent thing networking management system of museum, every showcase management subsystem can confirm the setting environment that is suitable for the showcase internal context to preserve according to the attribute of showcase internal context, and record the unusual fluctuation of showcase internal context, and send the unusual fluctuation to management platform, management platform can confirm the demand of patrolling and examining of showcase according to the unusual fluctuation frequency of all showcases internal context, automatic corresponding strategy of patrolling and examining of generating, and instruct the management of museum to the showcase through management terminal, this thing networking management system is favorable to the museum in time to discover the unusual fluctuation of showcase environment, so that should deal with, thereby be favorable to guaranteeing the preserving environment of cultural relics, be favorable to better realization cultural relics to preserve the management of condition.
Further, the cultural relic attribute information comprises cultural relic name information, cultural relic material information, cultural relic age information and cultural relic grade information;
the showcase monitoring module is further configured to:
linking a cultural relic exhibition big database, wherein the cultural relic exhibition big database comprises cultural relic exhibition historical data, and each piece of cultural relic exhibition historical data comprises cultural relic attribute information and historical setting environment information;
aiming at each cultural relic in the showcase,
searching historical relic exhibition data in a relic exhibition big database according to the relic name information of the relic attribute information to obtain historical relic exhibition data containing the relic name information;
searching historical relic exhibition data in a relic exhibition big database according to the relic material information, the relic age information and the relic grade information of the relic attribute information of the relic, and obtaining historical relic exhibition data containing the relic material information, the relic age information and the relic grade information;
and carrying out data analysis on historical relic exhibition data containing the historical relic name information and historical relic exhibition data containing the historical relic acquisition information, the historical relic age information and the historical relic grade information to obtain recommended environment information corresponding to the historical relic.
Further, the showcase monitoring module is further configured to:
aiming at each cultural relic in the showcase,
calculating setting median data, two setting end value data and two setting quartile data of historical setting environment information in historical relic exhibition historical data containing the historical relic name information;
calculating the calculation median data of historical setting environment information of historical relic exhibition historical data containing the relic material information, the relic year information and the relic grade information of the relic;
and selecting one of the set median data, the two set end value data and the two set quartile data, which is closest to the calculated median data, as recommended environment information of the cultural relics.
Further, the showcase monitoring module is further configured to:
the setting selection information carries authority information, and the authority information comprises parameter setting authority, environment selection authority or only selectable recommendation authority;
setting selection information carrying parameter setting authority can modify parameters of the recommended environment information to obtain the setting environment information; if a piece of cultural relics is arranged in the showcase, setting selection information carrying environment selection permission can select one of setting median data, two setting end value data and two setting quartile data of the cultural relics as the setting environment information, and setting selection information carrying only selectable recommendation permission can only select recommended environment information of the cultural relics as the setting environment information; if at least two pieces of cultural relics are arranged in the showcase, the setting selection information carrying the environment selection authority can select one of the recommended environment information of all the cultural relics as the setting environment information, and the setting selection information carrying the only selectable recommended authority can only select the lowest one of all the recommended temperature information and the lowest one of all the recommended humidity information as the setting environment information.
Further, the management platform is further configured to,
the calculation mode of the abnormality data of the showcase management subsystem is as follows: z=ak1+bk2, where Z is abnormal data, a is the number of times that the difference between the temperature data and the set temperature data exceeds the preset temperature difference threshold in the preset time of the showcase, B is the number of times that the difference between the humidity data and the set humidity data exceeds the preset humidity difference threshold, K1 is a first preset weight, and K2 is a second preset weight;
the method for generating the patrol strategy information comprises the following steps: presetting a first abnormality threshold and a second abnormality threshold which is larger than the first abnormality threshold, and presetting three patrol demand labels of slight patrol, normal patrol and enhanced patrol, wherein each patrol demand label corresponds to a preset patrol frequency based on unit duration; if the abnormal degree data is smaller than the first abnormal degree threshold value, the inspection requirement label of the corresponding showcase is light inspection, if the abnormal degree data is not smaller than the first abnormal degree data but smaller than the second abnormal degree threshold value, the inspection requirement label of the corresponding showcase is normal inspection, and if the abnormal degree data is not smaller than the second abnormal degree threshold value, the inspection requirement label of the corresponding showcase is reinforced inspection; the inspection strategy information comprises inspection requirement labels of all showcases.
Further, the temperature acquisition module comprises temperature sensors arranged at a plurality of positions in the showcase, and the temperature data is an average value of temperature values acquired by the temperature sensors.
Further, the humidity acquisition module comprises humidity sensors arranged at a plurality of positions in the showcase, and the humidity data is an average value of humidity values acquired by the plurality of humidity sensors.
Further, the image acquisition module comprises a plurality of cameras, and the cameras acquire images in the showcase respectively through different angles so as to obtain the image data.
In summary, the application specifically comprises the following beneficial effects:
1. the intelligent internet of things management system is suitable for the museums, the setting environment of each showcase is reasonably determined, and the inspection strategy can be generally determined according to the abnormal fluctuation frequency of the environment of each showcase, so that the environment for keeping the cultural relics in the showcase for a long time can be guaranteed;
2. in each showcase, the mode of determining the recommended environment based on the cultural relic exhibition big data is beneficial to providing a more suitable recommended environment for the cultural relics;
3. in each showcase, the carrying permission in the selected information is set, so that larger independent setting or operation space of selected parameters can be provided for more professional staff, and the independent designer of staff with insufficient experience and professional degree or operation space of selected parameters can be limited, thereby ensuring that the final setting environment is more reasonable and meets the individual requirements of a museum.
It should be understood that the description in this summary is not intended to limit the critical or essential features of the embodiments of the application, nor is it intended to limit the scope of the application. Other features of the present application will become apparent from the description that follows.
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The above and other features, advantages and aspects of embodiments of the present application will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, wherein like or similar reference numerals denote like or similar elements, in which:
fig. 1 shows a block diagram of an intelligent internet of things management system suitable for a museum according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
Referring to fig. 1, the present application provides an intelligent internet of things management system 100 for a museum that facilitates management of environments within a showcase suitable for cultural relics preservation by the museum.
An intelligent internet of things management system 100 suitable for a museum comprises a management platform 120, a plurality of showcase management subsystems 110 and a plurality of management terminals 130, wherein the showcase management subsystems 110 and the management terminals 130 are connected with the management platform 120;
the showcase management subsystem 110 comprises a temperature acquisition module 111, a humidity acquisition module 112, an image acquisition module 113 and a showcase monitoring module 114;
the temperature acquisition module 111 is used for acquiring temperature data in a showcase, the humidity acquisition module 112 is used for acquiring humidity data in the showcase, the image acquisition module 113 is used for acquiring image data in the showcase, and the showcase monitoring module 114 is respectively connected with the temperature acquisition module 111, the humidity acquisition module 112 and the image acquisition module 113 so as to receive the temperature data, the humidity data and the image data;
the showcase monitoring module 114 is configured to:
acquiring the temperature data, the humidity data and the image data;
based on an image recognition technology, analyzing cultural relic attribute information of a plurality of cultural relics stored in a large showcase according to the image data;
determining recommended environment information according to the attribute information of each cultural relic based on a preset analysis rule, wherein the recommended environment information comprises recommended temperature data and recommended humidity data;
determining setting environment information according to recommended environment information and pre-acquired setting selection information, wherein the setting environment information comprises setting temperature data and setting humidity data;
generating abnormal record information, wherein the abnormal record information comprises records that the difference value between temperature data and set temperature data exceeds a preset temperature difference threshold value and records that the difference value between humidity data and set humidity data exceeds a preset humidity difference threshold value;
the management platform 120 is configured to:
acquiring abnormal record information of each showcase management subsystem 110;
calculating abnormal degree data of each showcase according to the abnormal record information based on a preset calculation rule;
and generating inspection strategy information according to all the abnormal data, wherein the inspection strategy information is used for being sent to the management terminal 130.
Through adopting the above technical scheme, in the intelligent internet of things management system 100 of the museum, each showcase management subsystem 110 can determine the setting environment suitable for storing the cultural relics in the showcase according to the attribute of storing the cultural relics in the showcase, record the abnormal fluctuation of the internal environment of the showcase, and send the abnormal fluctuation to the management platform 120, the management platform 120 can determine the inspection requirement of the showcase according to the abnormal fluctuation frequency of all the internal environments of the showcase, automatically generate corresponding inspection strategies, and guide the management of the museum to the showcase through the management terminal 130, and the internet of things management system 100 is favorable for the museum to discover the abnormal fluctuation of the environment of the showcase in time so as to cope, thereby being favorable for guaranteeing the preservation environment of the cultural relics and better realizing the management of the preservation condition of the cultural relics.
The showcase monitoring module 114 is connected to a cultural relic material database, which theoretically contains pictures of all cultural relics and attribute information of the cultural relics, and when the showcase management subsystem 110 is applied to a showcase in a museum, the image acquisition module 113 can acquire image data of each cultural relic in the showcase, and the showcase monitoring module 114 can search the cultural relic material database for each cultural relic in the showcase of the museum based on an image recognition technology and determine the attribute information of each cultural relic.
Further, the cultural relic attribute information comprises cultural relic name information, cultural relic material information, cultural relic age information and cultural relic grade information;
the showcase monitoring module 114 is further configured to:
linking a cultural relic exhibition big database, wherein the cultural relic exhibition big database comprises a large amount of cultural relic exhibition historical data, and each piece of cultural relic exhibition historical data comprises cultural relic attribute information and historical setting environment information;
aiming at each cultural relic in the showcase,
searching historical relic exhibition data in a relic exhibition big database according to the relic name information of the relic attribute information to obtain historical relic exhibition data containing the relic name information;
searching historical relic exhibition data in a relic exhibition big database according to the relic material information, the relic age information and the relic grade information of the relic attribute information of the relic, and obtaining historical relic exhibition data containing the relic material information, the relic age information and the relic grade information;
and carrying out data analysis on historical relic exhibition data containing the historical relic name information and historical relic exhibition data containing the historical relic acquisition information and historical relic grade information to obtain recommended environment information corresponding to the cultural relic.
Specifically, the cultural relic exhibition large database contains a large number of cultural relic exhibition historical data, and the covered cultural relics are comprehensive in variety, and one piece of cultural relic exhibition historical data records the setting environment of one cultural relic in one historical exhibition. Each piece of cultural relic exhibition data in the cultural relic exhibition big database comprises four tags of cultural relic attribute information and two data records of historical setting environment information. The four labels of the cultural relic attribute information are cultural relic name information, cultural relic material information, cultural relic age information and cultural relic grade information respectively, the cultural relic name information is a label uniquely determined by an entity cultural relic, various classification information includes bronze, iron, bamboo, rock, clay, chemical stone and the like of the cultural relic material information, further includes a stone age, a business generation, zhou Dai, a primordial generation, a song end, and the like of the cultural relic age information, further includes a first-stage cultural relic, a second-stage cultural relic, a third-stage cultural relic and the like of the cultural relic grade information, and the specific classification standard can refer to a related division standard of the cultural relic industry. The two data records of the history setting environment are respectively a temperature data record and a humidity data record, wherein the temperature data record is a target temperature value, and the humidity data record is a target humidity value. The cultural relic exhibition large database comprises a large number of environmental data histories of cultural relic preservation with comprehensive categories, and the cultural relic categories are divided according to a preset frame.
Based on the foregoing, the historical relic exhibition data in the relic exhibition big database may be searched based on the label, for each relic, the historical relic exhibition data including the relic name information may be obtained by searching in the relic exhibition big database with the relic name information, that is, the historical preserved environmental data record of the relic name may be obtained by searching in the relic exhibition big database with the relic material information, the relic year information and the relic grade information, and if the relic material information, the relic year information and the relic grade information are all the same as the one relic, the search result may be the historical record of the environmental data preserved by the relic similar to the relic. The operation of the method in the step can determine the preservation environment history record of each cultural relic and the like stored in the showcase.
Further, the showcase monitoring module 114 is further configured to:
aiming at each cultural relic in the showcase,
calculating setting median data, two setting end value data and two setting quartile data of historical setting environment information in historical relic exhibition historical data containing the historical relic name information;
calculating the calculation median data of historical setting environment information of historical relic exhibition historical data containing the relic material information, the relic year information and the relic grade information of the relic;
and selecting one of the set median data, the two set end value data and the two set quartile data, which is closest to the calculated median data, as recommended environment information of the cultural relics.
Specifically, for each cultural relic, the historical setting environment information of each cultural relic display historical data contains a target temperature value and a target humidity value in the cultural relic display historical data which is the same as the name information of the cultural relic.
The setting median data refers to moderate data calculated according to historical setting environment information, and the setting median data comprises median temperature data and median humidity data, wherein the median temperature data is the median of all target temperature values in historical relic exhibition data with the same historical relic name information, and the median humidity data is the median of all target humidity values in historical relic exhibition data with the same historical relic name information.
In principle of calculating the set median data above, the analogy can calculate two set end values and two quartiles. The large end value comprises maximum temperature data and maximum humidity data, wherein the maximum temperature data is the maximum value of all target temperature values in historical relic exhibition data with the same historical relic name information, and the maximum humidity data is the maximum value of all target humidity values in historical relic exhibition data with the same historical relic name information. The small end value comprises the lowest temperature data and the lowest humidity data, wherein the lowest temperature data is the minimum value of all target temperature values in historical relic exhibition data with the same historical relic name information, and the lowest humidity data is the minimum value of all target humidity values in historical relic exhibition data with the same historical relic name information.
The two quartiles are respectively one-quarter bit data and three-quarterbit data. The quarter-bit data comprises a quarter-bit temperature value and a quarter-bit humidity value, wherein the quarter-bit temperature value is a temperature value in which all target temperature values in the historical relic exhibition data with the same relic name information are ranked from low to high, and the quarter-bit humidity value is a humidity value in which all target humidity values in the historical relic exhibition data with the same relic name information are ranked from low to high. The three-quarter data comprises three-quarter temperature values and three-quarter humidity values, wherein the three-quarter temperature values are all temperature values in three-quarter of the historical relic exhibition data which are ranked from low to high in the historical relic exhibition data with the same historical relic name information, and the three-quarter humidity values are all humidity values in three-quarter of the historical relic exhibition data which are ranked from low to high in the historical relic exhibition data with the same historical relic name information.
For each cultural relic, the cultural relic exhibition historical data which are the same as the cultural relic material information, the cultural relic age information and the cultural relic grade information of the cultural relic are calculated in the same mode as the calculation setting median data to obtain calculation median data, and the calculation median data comprises calculation median temperature and calculation median humidity.
And finally, taking one of the set median data, the two set end value data and the two set quartile data, which is closest to the calculated median data, as recommended environment information, wherein the approaching calculation mode is that the approaching coefficient is equal to the sum of the absolute value of the difference value of the temperature value and the absolute value of the difference value of the humidity value, and the smaller the approaching coefficient is, the closer the two data is. For example, the proximity coefficient of the set median data and the calculated median data= (absolute value of the difference between the median temperature data and the calculated median temperature) + (absolute value of the difference between the median humidity data and the calculated median humidity), whereas the larger proximity coefficient of the set median data and the calculated median data= (absolute value of the difference between the maximum value of all target temperature values and the calculated median temperature) + (absolute value of the difference between the maximum value of all target humidity values and the calculated median humidity), if the proximity coefficient of the set median data and the calculated median data is smaller than the proximity coefficient of the larger set median data and the calculated median data, it is indicated that the set median data is closer to the calculated median data than the larger set median data. Based on the method, the recommended environment information of the cultural relics can be formed by the corresponding temperature value and humidity value of one of the set median data, the two set end value data and the two set quartile data, which is closest to the calculated median data, so that the recommended environment information of each cultural relic in the showcase can be determined. It should be understood that each of the recommended environment information includes a recommended temperature information and a recommended humidity system information.
Further, the showcase monitoring module 114 is further configured to:
the setting selection information carries authority information, and the authority information comprises parameter setting authority, environment selection authority or only selectable recommendation authority;
setting selection information carrying parameter setting authority can modify parameters of the recommended environment information to obtain the setting environment information; if a piece of cultural relics is arranged in the showcase, setting selection information carrying environment selection permission can select one of setting median data, two setting end value data and two setting quartile data of the cultural relics as the setting environment information, and setting selection information carrying only selectable recommendation permission can only select recommended environment information of the cultural relics as the setting environment information; if at least two pieces of cultural relics are arranged in the showcase, the setting selection information carrying the environment selection authority can select one of the recommended environment information of all the cultural relics as the setting environment information, and the setting selection information carrying the only selectable recommended authority can only select the lowest one of all the recommended temperature information and the lowest one of all the recommended humidity information as the setting environment information.
The selected information is set as the input information, and aiming at each showcase, the first setting is generally required to have the action of manual setting, and the selected information can be input in the cultural relic exhibition process. The method comprises the steps that the set selected information is bound with the authority of an operator, the authority of the operator is preset based on the category and knowledge storage of the operator, in a simple way, the operator has three categories, the first category is a master with rich professional experience and has sufficient independent setting authority for setting the environment information, the priority of the corresponding set selected information is directly higher than that of the recommended environment information of a system, the recommended environment information is only pushed out to serve as a set reference, the second category is a common professional and has certain independent selection authority, if a plurality of cultural relics exist in a showcase, one cultural relics can be freely selected as the set environment information in the recommended environment information of all cultural relics, if one cultural relics exist in the showcase, one cultural relics can be freely selected as the set environment information in the set environment information of the cultural relics, and two set end value data and two set quartile data, namely, a certain selection space exists, and the third category is a non-professional and has no authority to be recommended, so that only the recommended cultural relics can be recommended, if the plurality of cultural relics exist in the showcase, only the minimum temperature information and the minimum humidity information in the recommended environment information can be set as the recommended environment information, and the minimum cultural relics exist in the showcase, and the cultural relics can be freely set as the set environment information. Based on the foregoing, a final set environment information, i.e., the target environment in which the cultural relics are stored in the showcase, can be obtained for each showcase. The setting environment obtained by the method can macroscopically reduce the influence of experience and subjective factors of operators on the setting environment of the showcase, and simultaneously reserves a certain autonomous operation authority for a part of reliable personnel, thereby being beneficial to providing more proper preservation environment for cultural relics and being beneficial to longer-term display and preservation of the cultural relics.
Based on the foregoing, each showcase in the museum can have appropriate setting environment information (i.e., target environment), and control of the interior environment of the showcase can be performed based on the setting environment information, and the target of the control mode is constant temperature and humidity, and the temperature and humidity of the showcase are regulated and controlled by adopting a constant temperature and humidity system generally. However, the constant temperature and humidity system may have serious regulation delay or even failure due to abnormal faults in the long-term use process, so that there may be serious deviation between the temperature data and the set temperature data or between the humidity data and the set humidity data of the museum showcase, which indicates the abnormal faults of the constant temperature and humidity system of the showcase, so in the scheme of the embodiment of the application, a temperature difference threshold and a humidity difference threshold are preset in the showcase monitoring module 114 (different showcase monitoring modules 114 can respectively and independently set the two thresholds), according to the temperature data and the humidity data of the showcase acquired in real time, the difference between the temperature data and the set temperature data and the difference between the humidity data and the set humidity data are calculated, so as to obtain actual temperature deviation and humidity deviation, the relation between the temperature deviation and the set temperature difference threshold and the relation between the humidity deviation and the humidity difference threshold can be compared, and then the times that the temperature deviation exceeds the temperature difference threshold and the times that the humidity deviation exceeds the humidity difference threshold can be recorded, and the times that the times exceed the humidity difference threshold are continuously recorded, and the times are continuously recorded, regardless of the differences of the times.
Further, the management platform 120 is further configured to,
the abnormal data of the showcase management subsystem 110 is calculated in the following manner: z=ak1+bk2, where Z is abnormal data, a is the number of times that the difference between the temperature data and the set temperature data exceeds the preset temperature difference threshold in the preset time of the showcase, B is the number of times that the difference between the humidity data and the set humidity data exceeds the preset humidity difference threshold, K1 is a first preset weight, and K2 is a second preset weight;
the method for generating the patrol strategy information comprises the following steps: presetting a first abnormality threshold and a second abnormality threshold which is larger than the first abnormality threshold, and presetting three patrol demand labels of slight patrol, normal patrol and enhanced patrol, wherein each patrol demand label corresponds to a preset patrol frequency based on unit duration; if the abnormal degree data is smaller than the first abnormal degree threshold value, the inspection requirement label of the corresponding showcase is light inspection, if the abnormal degree data is not smaller than the first abnormal degree data but smaller than the second abnormal degree threshold value, the inspection requirement label of the corresponding showcase is normal inspection, and if the abnormal degree data is not smaller than the second abnormal degree threshold value, the inspection requirement label of the corresponding showcase is reinforced inspection; the inspection strategy information comprises inspection requirement labels of all showcases.
The first preset weight, the second preset weight, the first abnormality threshold, the second abnormality threshold and the number of inspection times corresponding to each inspection requirement label can be set according to actual requirements. The preset inspection times corresponding to the light inspection are smaller than the preset inspection times corresponding to the normal inspection and the reinforced inspection.
The preset time length can also be set according to actual scene demands, the unit time length is generally the minimum period for arranging the inspection task, the preset time length is generally an integral multiple of the unit time length, for example, the unit time length is one day when the museum needs to inspect every day, the preset time length can be one day, two days, three days, five days, ten days and the like, and the preset time length can be determined by self according to actual demands.
Further, the temperature acquisition module 111 includes temperature sensors disposed at a plurality of positions in the showcase, and the temperature data is an average value of temperature values acquired by the plurality of temperature sensors.
Further, the humidity collection module 112 includes humidity sensors disposed at a plurality of positions in the showcase, and the humidity data is an average value of humidity values collected by the plurality of humidity sensors.
Further, the image acquisition module 113 includes a plurality of cameras, and the plurality of cameras acquire images in the showcase from different angles respectively to obtain the image data.
The setting modes of the temperature sensor, the humidity sensor and the camera can be set automatically based on the acquisition requirement of the concrete museum showcase based on experience of the person skilled in the art, and the setting modes are not particularly limited herein.
In the working process of the intelligent internet of things management system 100, each showcase management subsystem 110 can provide a proper setting environment for cultural relics in a showcase, and the management platform 120 can inform the management terminal 130 of the management strategy according to the frequency of excessively deviating from the setting environment according to the actual environment of each showcase, so that the inspection management of all showcases in a museum is realized, the environment in the showcase is convenient to guarantee, the cultural relics are suitable for long-term preservation, and the management of the showcase and the cultural relics in the showcase by the museum is facilitated.
In summary, the application specifically comprises the following beneficial effects:
the intelligent internet of things management system 100 suitable for the museum is provided, wherein the setting environment of each showcase is determined reasonably, and the inspection strategy can be generally determined according to the abnormal fluctuation frequency of the environment of each showcase, so that the environment for keeping the cultural relics in the showcase for a long time can be ensured;
in each showcase, the mode of determining the recommended environment based on the cultural relic exhibition big data is beneficial to providing a more suitable recommended environment for the cultural relics;
in each showcase, the carrying permission in the selected information is set, so that larger independent setting or operation space of selected parameters can be provided for more professional staff, and the independent designer of staff with insufficient experience and professional degree or operation space of selected parameters can be limited, thereby ensuring that the final setting environment is more reasonable and meets the individual requirements of a museum.
The above description is only illustrative of the preferred embodiments of the present application and of the principles of the technology employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in the present application is not limited to the specific combinations of technical features described above, but also covers other technical features which may be formed by any combination of the technical features described above or their equivalents without departing from the spirit of the disclosure. Such as the above-mentioned features and the technical features disclosed in the present application (but not limited to) having similar functions are replaced with each other.

Claims (4)

1. An intelligent internet of things management system suitable for a museum is characterized by comprising a management platform (120), a plurality of showcase management subsystems (110) and a plurality of management terminals (130) connected with the management platform (120);
the showcase management subsystem (110) comprises a temperature acquisition module (111), a humidity acquisition module (112), an image acquisition module (113) and a showcase monitoring module (114);
the temperature acquisition module (111) is used for acquiring temperature data in the showcase, the humidity acquisition module (112) is used for acquiring humidity data in the showcase, the image acquisition module (113) is used for acquiring image data in the showcase, and the showcase monitoring module (114) is respectively connected with the temperature acquisition module (111), the humidity acquisition module (112) and the image acquisition module (113) so as to receive the temperature data, the humidity data and the image data;
the showcase monitoring module (114) is configured to:
acquiring the temperature data, the humidity data and the image data;
based on an image recognition technology, analyzing cultural relic attribute information of a plurality of cultural relics stored in a large showcase according to the image data;
determining recommended environment information according to the attribute information of each cultural relic based on a preset analysis rule, wherein the recommended environment information comprises recommended temperature data and recommended humidity data;
determining setting environment information according to recommended environment information and pre-acquired setting selection information, wherein the setting environment information comprises setting temperature data and setting humidity data;
generating abnormal record information, wherein the abnormal record information comprises records that the difference value between temperature data and set temperature data exceeds a preset temperature difference threshold value and records that the difference value between humidity data and set humidity data exceeds a preset humidity difference threshold value;
the management platform (120) is configured to:
acquiring abnormal record information of each showcase management subsystem (110);
calculating abnormal degree data of each showcase according to the abnormal record information based on a preset calculation rule;
generating inspection strategy information according to all abnormal data, wherein the inspection strategy information is used for being sent to the management terminal (130);
the cultural relic attribute information comprises cultural relic name information, cultural relic material information, cultural relic age information and cultural relic grade information;
the showcase monitoring module (114) is further configured to:
linking a cultural relic exhibition big database, wherein the cultural relic exhibition big database comprises cultural relic exhibition historical data, and each piece of cultural relic exhibition historical data comprises cultural relic attribute information and historical setting environment information;
aiming at each cultural relic in the showcase,
searching historical relic exhibition data in a relic exhibition big database according to the relic name information of the relic attribute information to obtain historical relic exhibition data containing the relic name information;
searching historical relic exhibition data in a relic exhibition big database according to the relic material information, the relic age information and the relic grade information of the relic attribute information of the relic, and obtaining historical relic exhibition data containing the relic material information, the relic age information and the relic grade information;
performing data analysis on historical relic exhibition data containing the historical relic name information and historical relic exhibition data containing the historical relic material information, the historical relic age information and the historical relic grade information to obtain recommended environment information corresponding to the historical relic;
aiming at each cultural relic in the showcase,
calculating setting median data, two setting end value data and two setting quartile data of historical setting environment information in historical relic exhibition historical data containing the historical relic name information;
calculating the calculation median data of historical setting environment information of historical relic exhibition historical data containing the relic material information, the relic year information and the relic grade information of the relic;
selecting one of the set median data, the two set end value data and the two set quartile data, which is closest to the calculated median data, as recommended environment information of the cultural relics;
the showcase monitoring module (114) is further configured to:
the setting selection information carries authority information, and the authority information comprises parameter setting authority, environment selection authority or only selectable recommendation authority;
setting selection information carrying parameter setting authority can modify parameters of the recommended environment information to obtain the setting environment information; if a piece of cultural relics is arranged in the showcase, setting selection information carrying environment selection permission can select one of setting median data, two setting end value data and two setting quartile data of the cultural relics as the setting environment information, and setting selection information carrying only selectable recommendation permission can only select recommended environment information of the cultural relics as the setting environment information; if at least two pieces of cultural relics are arranged in the showcase, the setting selection information carrying the environment selection authority can select one of the recommended environment information of all the cultural relics as the setting environment information, and the setting selection information carrying the only selectable recommended authority can only select the lowest one of all the recommended temperature information and the lowest one of all the recommended humidity information as the setting environment information;
the management platform (120) is further configured to,
the calculation mode of the abnormality data of the showcase management subsystem (110) is as follows: z=ak1+bk2, where Z is abnormal data, a is the number of times that the difference between the temperature data and the set temperature data exceeds the preset temperature difference threshold in the preset time of the showcase, B is the number of times that the difference between the humidity data and the set humidity data exceeds the preset humidity difference threshold, K1 is a first preset weight, and K2 is a second preset weight;
the method for generating the patrol strategy information comprises the following steps: presetting a first abnormality threshold and a second abnormality threshold which is larger than the first abnormality threshold, and presetting three patrol demand labels of slight patrol, normal patrol and enhanced patrol, wherein each patrol demand label corresponds to a preset patrol frequency based on unit duration; if the abnormal degree data is smaller than the first abnormal degree threshold value, the inspection requirement label of the corresponding showcase is light inspection, if the abnormal degree data is not smaller than the first abnormal degree data but smaller than the second abnormal degree threshold value, the inspection requirement label of the corresponding showcase is normal inspection, and if the abnormal degree data is not smaller than the second abnormal degree threshold value, the inspection requirement label of the corresponding showcase is reinforced inspection; the inspection strategy information comprises inspection requirement labels of all showcases.
2. The intelligent internet of things management system for a museum according to any one of claim 1, wherein the temperature acquisition module (111) comprises temperature sensors arranged at a plurality of positions in a showcase, and the temperature data is an average value of temperature values acquired by the plurality of temperature sensors.
3. The intelligent internet of things management system for museums according to claim 1 or 2, wherein the humidity acquisition module (112) comprises humidity sensors arranged at a plurality of positions in a showcase, and the humidity data is an average value of humidity values acquired by the plurality of humidity sensors.
4. An intelligent internet of things management system for museums according to any of claims 1 or 2, wherein the image acquisition module (113) comprises a plurality of cameras, which acquire images in a showcase from different angles, respectively, to obtain the image data.
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