CN113487278B - Enterprise collaborative office system based on Internet of things - Google Patents
Enterprise collaborative office system based on Internet of things Download PDFInfo
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- CN113487278B CN113487278B CN202110746604.0A CN202110746604A CN113487278B CN 113487278 B CN113487278 B CN 113487278B CN 202110746604 A CN202110746604 A CN 202110746604A CN 113487278 B CN113487278 B CN 113487278B
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Abstract
The invention discloses an enterprise cooperative office system based on the Internet of things, which relates to the technical field of cooperative office, and comprises a login and registration module, a server, a conference application module, a data analysis module, a data acquisition module, a retrieval module, a data monitoring module, a signal analysis module and a data management module; the data analysis module is used for acquiring the conference requests and analyzing the conference requests to acquire the ordering of the conference requests; the server is used for processing the conference requests according to the ordering of the conference requests, so that resources are reasonably utilized; the data monitoring module is used for searching, downloading and monitoring the internet of things data stored by the storage module, and obtaining an active value of the internet of things data; generating a data updating instruction according to the active value, updating the data of the Internet of things, and improving the application value of the data of the Internet of things; the data management module is used for managing the internet of things data stored in the storage module; the storage space is effectively saved; and the retrieval efficiency is improved.
Description
Technical Field
The invention relates to the technical field of collaborative office, in particular to an enterprise collaborative office system based on the Internet of things.
Background
Along with the development of society, enterprises enter the current network era, the information management is greatly improved, the creativity and imagination of people are greatly restrained by the traditional office mode, the wisdom and the potential of people are buried, and a great deal of time and effort are consumed by people to manually process complicated and repeated work. The manual mode can not meet the development requirement under the new situation, and people need to use a collaborative office platform to improve the office efficiency of enterprises;
along with the development of the Internet of things and the progress of science and technology, the generated big data are sent to the cloud for storage through a network; in order to fully utilize the Internet of things data, more and more enterprises construct Internet of things data centers for mining the Internet of things data, and enabling Internet of things data resources or information resources to be provided for data requesters in the enterprises so as to achieve the purposes of collaborative office work and create application values of the Internet of things data and information; the existing enterprise cooperative office system cannot realize real-time communication of internal personnel information and cannot divide the level of stored internet of things data, so that low-frequency data are deleted and high-frequency data are updated in time; the storage space is effectively saved, and meanwhile, the meeting application cannot be arranged reasonably according to the occupation condition of the meeting room and the optimal analysis value of the meeting application, so that the resources are reasonably utilized.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide an enterprise cooperative office system based on the Internet of things.
The aim of the invention can be achieved by the following technical scheme: an enterprise collaborative office system based on the Internet of things comprises a login and registration module, a server, a database, a conference application module, a data analysis module, a data acquisition module, a retrieval module, a storage module, a data monitoring module, a signal analysis module and a data management module;
the conference application module is used for a user to input a conference application signal through the mobile phone terminal and transmit the conference application signal to the server, and the server automatically acquires the idle period of the conference room from the database and transmits the idle period of the conference room to the mobile phone terminal of the user after receiving the conference application signal; after receiving the idle period of the conference room, the user edits a conference uploading request through a conference application module, and marks the time for uploading the conference request as the uploading request time;
the data analysis module is used for acquiring conference requests and analyzing the conference requests to acquire the ordering of the conference requests; the data analysis module is used for sequentially sending the conference requests to be analyzed to the server for processing according to the ordering of the conference requests to be analyzed;
the data monitoring module is used for carrying out retrieval and downloading monitoring on the Internet of things data stored by the storage module, generating a retrieval and downloading signal when the Internet of things data is monitored to be retrieved and downloaded, and sending the retrieval and downloading signal to the signal analysis module, wherein the signal analysis module is used for receiving the retrieval and downloading signal transmitted by the data monitoring module and carrying out signal analysis to obtain an active value HY of the Internet of things data; comparing the activity value HY with an activity threshold; if the activity value HY is more than or equal to the activity threshold value, marking the target data as high-frequency data, and generating a data updating instruction.
Further, the login and registration module is used for inputting personal information by a user to register and register, transmitting the personal information to a server, and the server is used for receiving the personal information transmitted by the login and registration module and transmitting the personal information to a database for storage; the personal information includes name, gender, birthday, age, academic, home address, and company position; the database stores idle periods of the conference room.
Further, the specific analysis steps of the data analysis module are as follows:
step one: acquiring a conference request uploaded by a conference application module; the conference request comprises sponsors, conference time periods and conference numbers; the conference time period comprises conference start time and conference end time; calibrating the uploading time of the request of each uploading meeting request;
step two: marking all conference requests with uploading time difference within T1 by taking the request uploading time of one uploading conference request as a center; the uploading time difference is the time difference between the request uploading moments of two conference requests; marking all conference requests with uploading time differences within T1 as conference requests to be analyzed;
step three: acquiring an initiator of a conference request to be analyzed, and comparing the initiator with personal information stored in a database so as to acquire identity information of the initiator; acquiring corresponding company positions in the identity information;
setting all the company positions to have corresponding preset values, matching the company positions of the sponsor with all the company positions to obtain corresponding preset values, and marking the corresponding preset values as D1;
step four: the conference requests to be analyzed are arranged in descending order according to the corresponding preset value; if the corresponding preset values are the same; further analyzing the meeting request to be analyzed; obtaining an optimal analysis value of a conference request to be analyzed; the method comprises the following specific steps:
s41: marking a mobile phone terminal for sending a conference request to be analyzed as a sending terminal;
acquiring the total times of sending the conference request by the sending terminal, and marking the total times as C1; meanwhile, the request uploading time corresponding to the conference request sent by the sending terminal is ordered according to time, the time difference between the latest request uploading time and the current time of the system is calculated to obtain the delay time, and the delay time is marked as CT;
acquiring the number of times that the sending terminal cancels the conference request, dividing the number of times of cancellation by the total number of times to acquire the cancellation rate of the sending terminal, and marking the cancellation rate as C2;
obtaining a transmission value FS of the transmission terminal by using a formula FS= (C1×a1)/(CT×a2+C2×a3), wherein a1, a2 and a3 are coefficient factors;
s42: acquiring meeting starting time, meeting ending time and meeting number in a meeting request to be analyzed; performing time difference calculation on the meeting starting time and the meeting ending time to obtain the meeting duration, and marking the meeting duration as H1; performing time difference calculation on the meeting starting time and the current time of the system to obtain a buffer duration H2;
marking the number of people in the conference as R1;
s43: normalizing the sending value, the duration of the conference, the buffer duration and the number of the conference, and taking the numerical value; obtaining an optimal analysis value YX of the conference request to be analyzed by using a formula YX= (FS×a4+H2×a5+R1×a6)/(H2×a7);
s44: and arranging conference requests to be analyzed in descending order according to the size of the optimal analysis value YX.
Further, the data acquisition module is used for acquiring the internet of things data acquired by each internet of things device, uploading the internet of things data to a server, and the server is used for transmitting the internet of things data to the storage module for storage; the retrieval module is used for retrieving and downloading the internet of things data stored by the storage module by a user.
Further, the server is configured to receive a conference request to be analyzed, match a conference time period in the conference request to be analyzed with an idle period of the conference room, and if the conference time period is in the idle period, send an application success signal to the mobile terminal, and change the idle period of the conference room; if the meeting time period is not in the idle period, sending an application failure signal to the mobile terminal, and sending the idle period of the meeting room to the mobile terminal at the moment to prompt the user to upload the meeting request again.
Further, the specific analysis steps of the signal analysis module are as follows:
v1: recording retrieval downloading information when the retrieval downloading signal is monitored; the retrieval and downloading information comprises Internet of things data and retrieval and downloading time; marking the retrieved and downloaded internet of things data as target data;
v2: when the target data is searched and downloaded, automatically counting down, wherein the counting down time is T2 time, and T2 is a preset value;
continuously searching and downloading the target data in the countdown stage, and when the target data generates a new searching and downloading signal, automatically returning the countdown to the original value and carrying out countdown again according to T2; otherwise, the countdown returns to zero, and the timing is stopped;
v3: acquiring all retrieval downloading information of the target data in the countdown stage; marking the retrieval download information as Gi, i=1, according to the time information, m, gm being the last retrieval download information;
performing time difference calculation on the retrieval downloading time of G1 and the retrieval downloading time of Gm to obtain retrieval duration; and is labeled T3;
obtaining the times of the target data in the countdown stage to be searched and downloaded according to the m value and marking the times as the searching total times C3;
v4: obtaining an active value HY of the target data by using a formula HY= (T3×b1+C3×b2) x (C3/T3×b3); wherein b1, b2 and b3 are coefficient factors;
v5: comparing the activity value HY with an activity threshold;
if the activity value HY is more than or equal to the activity threshold value, marking the target data as high-frequency data, and generating a data updating instruction; marking the Internet of things equipment corresponding to the high frequency data as target equipment;
the signal analysis module is used for transmitting the data updating instruction and the corresponding target equipment to the server, and the server is used for transmitting the data updating instruction and the corresponding target equipment to the data acquisition module; the data acquisition module is used for acquiring the internet of things data of the target device according to the data updating instruction to update, and returning the updated internet of things data to the storage module for storage through the server; meanwhile, the total update times of the data of the Internet of things are increased by one.
Further, the data management module is used for managing the internet of things data stored in the storage module; the specific management steps are as follows:
VV1: acquiring storage time of the data of the Internet of things, performing time difference calculation on the storage time and the current time of the system to acquire storage time length, and marking the storage time length as DT1;
VV2: setting the total update times of the data of the Internet of things as GC; acquiring the update time of each update of the data of the Internet of things; performing time difference calculation on the latest updated time and the current time of the system to obtain an un-updated time length, and marking the un-updated time length as DT2;
VV3: counting the times of the data of the Internet of things in three days and marking the times as C4;
obtaining a storage value CX of the data of the Internet of things by using a formula CX= (GC xg1+C4 xg2)/(DT 2 xg3) -DT1 xg 4, wherein g1, g2, g3 and g4 are coefficient factors;
VV4: comparing the stored value CX with a stored threshold value; if the storage value CX is smaller than the storage threshold value, marking the corresponding data of the Internet of things as low-frequency data; the low-frequency data is transferred to a data transfer module, a time length threshold value is set as t, and when the storage time length of the low-frequency data in the data transfer module reaches the time length threshold value t, the data transfer module deletes the corresponding low-frequency data;
VV5: and after the low-frequency data are transferred to the data transfer module, the internet of things data in the storage module are arranged in descending order according to the size of the storage value CX.
The beneficial effects of the invention are as follows:
1. the data analysis module is used for acquiring a conference request and analyzing the conference request; taking the request uploading moment of one uploading meeting request as a center, and marking all meeting requests with uploading time difference within T1 as meeting requests to be analyzed; acquiring an initiator of a conference request to be analyzed, and acquiring a company position corresponding to the initiator; the conference requests to be analyzed are arranged in descending order according to the preset value corresponding to the company position; if the corresponding preset values are the same; further analyzing the meeting request to be analyzed; obtaining an optimal analysis value of a conference request to be analyzed; the conference requests to be analyzed are arranged in descending order according to the size of the optimal analysis value YX; the data analysis module is used for sequentially sending the conference requests to be analyzed to the server for processing according to the ordering of the conference requests to be analyzed, and the conference application can be reasonably arranged according to the occupation condition of the conference room and the optimal analysis value of the conference application, so that resources are reasonably utilized;
2. the data monitoring module is used for carrying out retrieval and downloading monitoring on the Internet of things data stored by the storage module, generating a retrieval and downloading signal when the Internet of things data is monitored to be retrieved and downloaded, and the signal analysis module is used for receiving the retrieval and downloading signal transmitted by the data monitoring module and carrying out signal analysis to obtain an active value HY of the Internet of things data; if the activity value HY is more than or equal to the activity threshold value, generating a data updating instruction, and updating the data of the Internet of things; the application value of the data of the Internet of things is improved;
3. the data management module is used for managing the internet of things data stored in the storage module; combining the storage time length, the total update time, the non-update time length and the time length of the last three days of the data of the Internet of things to be searched and downloaded, obtaining a storage value CX of the data of the Internet of things by using a formula CX= (GC xg1+C4 xg2)/(DT 2 xg 3) -DT1 xg 4, if the storage value CX is smaller than a storage threshold value, transferring the corresponding data of the Internet of things to a data transfer module, setting the time length threshold value as t, and when the storage time length reaches the time length threshold value t, deleting the corresponding data of the Internet of things by the data transfer module; the storage space is effectively saved; meanwhile, the internet of things data in the storage module are arranged in descending order according to the size of the storage value CX, so that the retrieval efficiency is improved.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a system block diagram of 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.
As shown in fig. 1, an enterprise collaborative office system based on the internet of things comprises a login and registration module, a server, a database, a meeting application module, a data analysis module, a data acquisition module, a retrieval module, a storage module, a data monitoring module, a signal analysis module and a data management module;
the login and registration module is used for inputting personal information by a user to register and register, transmitting the personal information to the server, and the server is used for receiving the personal information transmitted by the login and registration module and transmitting the personal information to the database for storage; personal information includes name, gender, birthday, age, school, home address, and company position;
the database stores the idle time period of the conference room;
the conference application module is used for a user to input a conference application signal through the mobile phone terminal and transmit the conference application signal to the server, and the server automatically acquires the idle period of the conference room from the database and transmits the idle period of the conference room to the mobile phone terminal of the user after receiving the conference application signal; after receiving the idle period of the conference room, the user edits a conference uploading request through a conference application module, and marks the time for uploading the conference request as the uploading request time; the conference request comprises an initiator, a conference time period and a conference number; the conference time period comprises conference start time and conference end time;
the data analysis module is used for acquiring the conference request and analyzing the conference request, and the specific analysis steps are as follows:
step one: acquiring a conference request uploaded by a conference application module; calibrating the uploading time of the request of each uploading meeting request;
step two: marking all conference requests with uploading time difference within T1 by taking the request uploading time of one uploading conference request as a center; the uploading time difference is the time difference between the request uploading moments of two conference requests; marking all conference requests with uploading time differences within T1 as conference requests to be analyzed;
step three: acquiring an initiator of a conference request to be analyzed, and comparing the initiator with personal information stored in a database so as to acquire identity information of the initiator; acquiring corresponding company positions in the identity information; the company positions comprise common staff, group members, department entrepreneurs, project managers, CEOs and the like;
setting all the company positions to have corresponding preset values, matching the company positions of the sponsor with all the company positions to obtain corresponding preset values, and marking the corresponding preset values as D1; the higher the position is, the larger the corresponding preset value is;
step four: the conference requests to be analyzed are arranged in descending order according to the corresponding preset value; if the corresponding preset values are the same; further analyzing the meeting request to be analyzed; obtaining an optimal analysis value of a conference request to be analyzed; the method comprises the following specific steps:
s41: marking a mobile phone terminal for sending a conference request to be analyzed as a sending terminal;
acquiring the total times of sending the conference request by the sending terminal, and marking the total times as C1; meanwhile, the request uploading time corresponding to the conference request sent by the sending terminal is ordered according to time, the time difference between the latest request uploading time and the current time of the system is calculated to obtain the delay time, and the delay time is marked as CT; acquiring the number of times that the sending terminal cancels the conference request, dividing the number of times of cancellation by the total number of times to acquire the cancellation rate of the sending terminal, and marking the cancellation rate as C2;
obtaining a transmission value FS of the transmission terminal by using a formula fs= (c1×a1)/(ct×a2+c2×a3), wherein a1, a2 and a3 are all coefficient factors, for example, a1 takes a value of 0.55, a2 takes a value of 0.67 and a3 takes a value of 0.81;
s42: acquiring meeting starting time, meeting ending time and meeting number in a meeting request to be analyzed; performing time difference calculation on the meeting starting time and the meeting ending time to obtain the meeting duration, and marking the meeting duration as H1;
performing time difference calculation on the meeting starting time and the current time of the system to obtain a buffer duration H2;
marking the number of people in the conference as R1;
s43: normalizing the sending value, the duration of the conference, the buffer duration and the number of the conference, and taking the numerical value;
obtaining an optimal analysis value YX of the conference request to be analyzed by using a formula YX= (FS×a4+H2×a5+R1×a6)/(H2×a7); wherein a4, a5, a6, a7 are coefficient factors; for example, a4 takes on a value of 0.66, a5 takes on a value of 0.18, a6 takes on a value of 0.48, a7 takes on a value of 1.21;
s44: the conference requests to be analyzed are arranged in descending order according to the size of the optimal analysis value YX;
the data analysis module is used for sequentially sending the conference requests to be analyzed to the server according to the ordering of the conference requests to be analyzed, the server is used for receiving the conference requests to be analyzed, matching the conference time period in the conference requests to be analyzed with the idle period of the conference room, and sending an application success signal to the mobile terminal and changing the idle period of the conference room if the conference time period is in the idle period; if the meeting time period is not in the idle period, sending an application failure signal to the mobile terminal, and sending the idle period of the meeting room to the mobile terminal at the moment to prompt a user to upload the meeting request again;
the data acquisition module is used for acquiring the Internet of things data acquired by each Internet of things device, uploading the Internet of things data to the server, and transmitting the Internet of things data to the storage module for storage; the retrieval module is used for retrieving and downloading the internet of things data stored by the storage module by a user;
the data monitoring module is used for searching, downloading and monitoring the internet of things data stored by the storage module, generating a searching and downloading signal when the internet of things data is searched and downloaded, and sending the searching and downloading signal to the signal analysis module, wherein the signal analysis module is used for receiving the searching and downloading signal transmitted by the data monitoring module and carrying out signal analysis, and the specific analysis steps are as follows:
v1: recording retrieval downloading information when the retrieval downloading signal is monitored; the retrieval and downloading information comprises Internet of things data and retrieval and downloading time; marking the retrieved and downloaded internet of things data as target data;
v2: when the target data is searched and downloaded, automatically counting down, wherein the counting down time is T2 time, and T2 is a preset value; for example, T2 is 3 hours;
continuously searching and downloading the target data in the countdown stage, and when the target data generates a new searching and downloading signal, automatically returning the countdown to the original value and carrying out countdown again according to T2; otherwise, the countdown returns to zero, and the timing is stopped;
v3: acquiring all retrieval downloading information of the target data in the countdown stage; marking the retrieval download information as Gi, i=1, according to the time information, m, gm being the last retrieval download information;
performing time difference calculation on the retrieval downloading time of G1 and the retrieval downloading time of Gm to obtain retrieval duration; and is labeled T3;
obtaining the times of the target data in the countdown stage to be searched and downloaded according to the m value and marking the times as the searching total times C3;
v4: obtaining an active value HY of the target data by using a formula HY= (T3×b1+C3×b2) x (C3/T3×b3); wherein b1, b2 and b3 are coefficient factors, for example, b1 takes on a value of 0.58, b2 takes on a value of 0.71 and b3 takes on a value of 0.41;
v5: comparing the activity value HY with an activity threshold;
if the activity value HY is more than or equal to the activity threshold value, marking the target data as high-frequency data, and generating a data updating instruction; marking the Internet of things equipment corresponding to the high frequency data as target equipment;
the signal analysis module is used for transmitting the data updating instruction and the corresponding target equipment to the server, and the server is used for transmitting the data updating instruction and the corresponding target equipment to the data acquisition module; the data acquisition module is used for acquiring the internet of things data of the target equipment according to the data updating instruction to update, and returning the updated internet of things data to the storage module for storage through the server; meanwhile, the total update times of the data of the Internet of things are increased by one;
the data management module is used for managing the internet of things data stored in the storage module; the specific management steps are as follows:
VV1: acquiring storage time of the data of the Internet of things, performing time difference calculation on the storage time and the current time of the system to acquire storage time length, and marking the storage time length as DT1;
VV2: setting the total update times of the data of the Internet of things as GC; acquiring the update time of each update of the data of the Internet of things; performing time difference calculation on the latest updated time and the current time of the system to obtain an un-updated time length, and marking the un-updated time length as DT2;
VV3: counting the times of the data of the Internet of things in three days and marking the times as C4;
obtaining a storage value CX of the data of the Internet of things by using a formula CX= (GC xg1+C4 xg2)/(DT 2 xg3) -DT1 xg 4, wherein g1, g2, g3 and g4 are coefficient factors; for example, g1 takes on 0.98, g2 takes on 0.78, g3 takes on 1.25, g4 takes on 0.88;
VV4: comparing the stored value CX with a stored threshold value; if the storage value CX is smaller than the storage threshold value, marking the corresponding data of the Internet of things as low-frequency data; the low-frequency data is transferred to a data transfer module, a time length threshold value is set as t, and when the storage time length of the low-frequency data in the data transfer module reaches the time length threshold value t, the data transfer module deletes the corresponding low-frequency data;
VV5: and after the low-frequency data are transferred to the data transfer module, the internet of things data in the storage module are arranged in descending order according to the size of the storage value CX.
The working principle of the invention is as follows:
when the enterprise collaborative office system based on the Internet of things works, the conference application module is used for a user to input a conference application signal through the mobile phone terminal, and the server automatically acquires an idle period of the conference room from the database and sends the idle period of the conference room to the mobile phone terminal of the user after receiving the conference application signal; after receiving the idle period of the conference room, the user edits and uploads a conference request through a conference application module; the data analysis module is used for acquiring a conference request and analyzing the conference request; taking the request uploading moment of one uploading meeting request as a center, and marking all meeting requests with uploading time difference within T1 as meeting requests to be analyzed; acquiring an initiator of a conference request to be analyzed, and acquiring a company position corresponding to the initiator; the conference requests to be analyzed are arranged in descending order according to the preset value corresponding to the company position; if the corresponding preset values are the same; further analyzing the meeting request to be analyzed; obtaining an optimal analysis value of a conference request to be analyzed; the conference requests to be analyzed are arranged in descending order according to the size of the optimal analysis value YX; the data analysis module is used for sequentially sending the conference requests to be analyzed to the server for processing according to the ordering of the conference requests to be analyzed, and the conference application can be reasonably arranged according to the occupation condition of the conference room and the optimal analysis value of the conference application, so that resources are reasonably utilized;
the data monitoring module is used for carrying out retrieval and downloading monitoring on the Internet of things data stored by the storage module, generating a retrieval and downloading signal when the Internet of things data is monitored to be retrieved and downloaded, and the signal analysis module is used for receiving the retrieval and downloading signal transmitted by the data monitoring module and carrying out signal analysis to obtain an active value HY of the Internet of things data; if the activity value HY is more than or equal to the activity threshold value, generating a data updating instruction, and updating the data of the Internet of things; the application value of the data of the Internet of things is improved; the data management module is used for managing the internet of things data stored in the storage module; combining the storage time length, the total update time, the non-update time length and the time length of the last three days of the data of the Internet of things to be searched and downloaded, obtaining a storage value CX of the data of the Internet of things by using a formula CX= (GC xg1+C4 xg2)/(DT 2 xg 3) -DT1 xg 4, if the storage value CX is smaller than a storage threshold value, transferring the corresponding data of the Internet of things to a data transfer module, setting the time length threshold value as t, and when the storage time length reaches the time length threshold value t, deleting the corresponding data of the Internet of things by the data transfer module; the storage space is effectively saved; meanwhile, the internet of things data in the storage module are arranged in descending order according to the size of the storage value CX, so that the retrieval efficiency is improved.
The formulas are formulas which are consistent with the real results and are obtained by acquiring a large amount of data to perform software simulation and performing parameter setting processing by corresponding experts.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (1)
1. An enterprise collaborative office system based on the Internet of things comprises a login and registration module, a server, a database, a conference application module, a data analysis module, a data acquisition module, a retrieval module, a storage module, a data monitoring module, a signal analysis module and a data management module;
the login and registration module is used for inputting personal information by a user to register and transmitting the personal information to the server, and the server is used for receiving the personal information transmitted by the login and registration module and transmitting the personal information to the database for storage; the personal information includes name, gender, birthday, age, academic, home address, and company position; the database stores idle time periods of the conference room;
the conference application module is used for a user to input a conference application signal through the mobile phone terminal and transmit the conference application signal to the server, and the server automatically acquires the idle period of the conference room from the database and transmits the idle period of the conference room to the mobile phone terminal of the user after receiving the conference application signal; after receiving the idle period of the conference room, the user edits a conference uploading request through a conference application module, and marks the time for uploading the conference request as the uploading request time;
the data analysis module is used for acquiring conference requests and analyzing the conference requests to acquire the ordering of the conference requests; the specific analysis steps are as follows:
step one: acquiring a conference request uploaded by a conference application module; the conference request comprises sponsors, conference time periods and conference numbers; the conference time period comprises conference start time and conference end time; calibrating the uploading time of the request of each uploading meeting request;
step two: marking all conference requests with uploading time difference within T1 by taking the request uploading time of one uploading conference request as a center; the uploading time difference is the time difference between the request uploading moments of two conference requests; marking all conference requests with uploading time differences within T1 as conference requests to be analyzed;
step three: acquiring an initiator of a conference request to be analyzed, and comparing the initiator with personal information stored in a database so as to acquire identity information of the initiator; acquiring corresponding company positions in the identity information; setting all the company positions to have corresponding preset values, matching the company positions of the sponsor with all the company positions to obtain corresponding preset values, and marking the corresponding preset values as D1;
step four: the conference requests to be analyzed are arranged in descending order according to the corresponding preset value; if the corresponding preset values are the same; further analyzing the meeting request to be analyzed; obtaining an optimal analysis value of a conference request to be analyzed; the method comprises the following specific steps:
s41: marking a mobile phone terminal for sending a conference request to be analyzed as a sending terminal;
acquiring the total times of sending the conference request by the sending terminal, and marking the total times as C1; meanwhile, the request uploading time corresponding to the conference request sent by the sending terminal is ordered according to time, the time difference between the latest request uploading time and the current time of the system is calculated to obtain the delay time, and the delay time is marked as CT; acquiring the number of times that the sending terminal cancels the conference request, dividing the number of times of cancellation by the total number of times to acquire the cancellation rate of the sending terminal, and marking the cancellation rate as C2;
obtaining a transmission value FS of the transmission terminal by using a formula FS= (C1×a1)/(CT×a2+C2×a3), wherein a1, a2 and a3 are coefficient factors;
s42: acquiring meeting starting time, meeting ending time and meeting number in a meeting request to be analyzed; performing time difference calculation on the meeting starting time and the meeting ending time to obtain the meeting duration, and marking the meeting duration as H1; performing time difference calculation on the meeting starting time and the current time of the system to obtain a buffer duration H2; marking the number of people in the conference as R1;
s43: normalizing the sending value, the duration of the conference, the buffer duration and the number of the conference, and taking the numerical value; obtaining an optimal analysis value YX of the conference request to be analyzed by using a formula YX= (FS×a4+H2×a5+R1×a6)/(H2×a7); wherein a4, a5, a6, a7 are coefficient factors;
s44: the conference requests to be analyzed are arranged in descending order according to the size of the optimal analysis value YX;
the data analysis module is used for sequentially sending the conference requests to be analyzed to the server for processing according to the ordering of the conference requests to be analyzed;
the server is used for receiving the conference request to be analyzed, matching the conference time period in the conference request to be analyzed with the idle time period of the conference room, and sending a success applying signal to the mobile terminal and changing the idle time period of the conference room if the conference time period is in the idle time period; if the meeting time period is not in the idle period, sending an application failure signal to the mobile terminal, and sending the idle period of the meeting room to the mobile terminal at the moment to prompt a user to upload the meeting request again;
the data acquisition module is used for acquiring the Internet of things data acquired by each Internet of things device, uploading the Internet of things data to the server, and the server is used for transmitting the Internet of things data to the storage module for storage; the retrieval module is used for retrieving and downloading the internet of things data stored by the storage module by a user;
the data monitoring module is used for carrying out retrieval and downloading monitoring on the internet of things data stored by the storage module, generating a retrieval and downloading signal when the internet of things data is monitored to be retrieved and downloaded, and sending the retrieval and downloading signal to the signal analysis module; the signal analysis module is used for receiving the retrieval downloading signal transmitted by the data monitoring module and carrying out signal analysis to obtain an active value HY of the data of the Internet of things; the specific analysis steps are as follows:
v1: recording retrieval downloading information when the retrieval downloading signal is monitored; the retrieval and downloading information comprises Internet of things data and retrieval and downloading time; marking the retrieved and downloaded internet of things data as target data;
v2: when the target data is searched and downloaded, automatically counting down, wherein the counting down time is T2 time, and T2 is a preset value; continuously searching and downloading the target data in the countdown stage, and when the target data generates a new searching and downloading signal, automatically returning the countdown to the original value and carrying out countdown again according to T2; otherwise, the countdown returns to zero, and the timing is stopped;
v3: acquiring all retrieval downloading information of the target data in the countdown stage; marking the retrieval download information as Gi, i=1, according to the time information, m, gm being the last retrieval download information;
performing time difference calculation on the retrieval downloading time of G1 and the retrieval downloading time of Gm to obtain retrieval duration; and is labeled T3; obtaining the times of the target data in the countdown stage to be searched and downloaded according to the m value and marking the times as the searching total times C3;
v4: obtaining an active value HY of the target data by using a formula HY= (T3×b1+C3×b2) x (C3/T3×b3); wherein b1, b2 and b3 are coefficient factors;
v5: comparing the activity value HY with an activity threshold; if the activity value HY is more than or equal to the activity threshold value, marking the target data as high-frequency data, and generating a data updating instruction; marking the Internet of things equipment corresponding to the high frequency data as target equipment;
the signal analysis module is used for transmitting the data updating instruction and the corresponding target equipment to the server, and the server is used for transmitting the data updating instruction and the corresponding target equipment to the data acquisition module; the data acquisition module is used for acquiring the internet of things data of the target device according to the data updating instruction to update, and returning the updated internet of things data to the storage module for storage through the server; meanwhile, the total update times of the data of the Internet of things are increased by one;
the data management module is used for managing the internet of things data stored in the storage module; the specific management steps are as follows:
VV1: acquiring storage time of the data of the Internet of things, performing time difference calculation on the storage time and the current time of the system to acquire storage time length, and marking the storage time length as DT1;
VV2: setting the total update times of the data of the Internet of things as GC; acquiring the update time of each update of the data of the Internet of things; performing time difference calculation on the latest updated time and the current time of the system to obtain an un-updated time length, and marking the un-updated time length as DT2;
VV3: counting the times of the data of the Internet of things in three days and marking the times as C4;
obtaining a storage value CX of the data of the Internet of things by using a formula CX= (GC xg1+C4 xg2)/(DT 2 xg3) -DT1 xg 4, wherein g1, g2, g3 and g4 are coefficient factors;
VV4: comparing the stored value CX with a stored threshold value; if the storage value CX is smaller than the storage threshold value, marking the corresponding data of the Internet of things as low-frequency data; the low-frequency data is transferred to a data transfer module, a time length threshold value is set as t, and when the storage time length of the low-frequency data in the data transfer module reaches the time length threshold value t, the data transfer module deletes the corresponding low-frequency data;
VV5: and after the low-frequency data are transferred to the data transfer module, the internet of things data in the storage module are arranged in descending order according to the size of the storage value CX.
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