CN113592446A - Equipment management system for intelligent equipment - Google Patents
Equipment management system for intelligent equipment Download PDFInfo
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- CN113592446A CN113592446A CN202110859143.8A CN202110859143A CN113592446A CN 113592446 A CN113592446 A CN 113592446A CN 202110859143 A CN202110859143 A CN 202110859143A CN 113592446 A CN113592446 A CN 113592446A
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
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Abstract
The invention discloses an equipment management system for intelligent equipment, which comprises a data acquisition unit, an area division unit, a temporary storage library, a delivery analysis unit, an input unit, a processor, a positioning unit, a sending unit, a management unit, a real-time monitoring unit, an abnormal judgment unit and a temporary storage unit, wherein the area division unit is used for dividing the temporary storage library into a plurality of areas; the data acquisition unit is used for acquiring personnel flow data of a target area; the method comprises the steps that a data acquisition unit is used for acquiring personnel flow data of a target area, the specific acquisition method comprises the steps of firstly, preliminarily dividing the target area to obtain a plurality of preliminary divided area groups, and then, after the preliminary divided area groups are obtained, carrying out fine adjustment processing on the preliminary divided area groups to obtain a plurality of target areas; then, the target area is transmitted to a temporary storage library by means of an area dividing unit; and meanwhile, the input unit is used for uploading the release information, and the release information is the corresponding release quantity of the intelligent equipment.
Description
Technical Field
The invention belongs to the field of equipment management, relates to an intelligent equipment management technology, and particularly relates to an equipment management system for intelligent equipment.
Background
Patent publication No. CN108108160A discloses a personal device management system, which includes an enterprise device management system, a mobile terminal device management system, and a cloud storage system. The enterprise equipment management system distributes enterprise equipment to affiliated users and provides equipment management functions; the mobile terminal equipment management system is used for a user to manage equipment with authority, and the user interacts information with the enterprise equipment management system through the Internet so as to provide a necessary equipment management function and provide a mobile terminal characteristic management function; the cloud storage system stores all equipment information and exchanges and updates information with the enterprise equipment management system and the mobile terminal equipment management system through the internet. According to the invention, the equipment data information resources are stored in the third-party cloud storage system, unified and diversified equipment management of the resources is realized, and meanwhile, the convenient and fast characteristics of the mobile terminal are combined, so that the equipment management work is shared to the user, and the user is allowed to self-manage the equipment under the own name.
However, the patent only manages personal devices, and if the intelligent device is a market-oriented intelligent device for enterprises, a reasonable management system is lacked, so that each region of a target market can be automatically divided, the input quantity can be determined, the practical state can be monitored in real time, and the separation management caused by various conditions can be avoided; in order to solve this technical problem, a solution is now provided.
Disclosure of Invention
The invention aims to provide an equipment management system for intelligent equipment.
The purpose of the invention can be realized by the following technical scheme:
an equipment management system for intelligent equipment comprises a data acquisition unit, an area division unit, a temporary storage library, a release analysis unit, an input unit, a processor, a positioning unit, a sending unit, a management unit, a real-time monitoring unit, a different judgment unit and a temporary storage unit;
the data acquisition unit is used for acquiring personnel flow data of a target area, and the specific acquisition method comprises the following steps:
the method comprises the following steps: preliminarily dividing the target area to obtain a plurality of preliminary divided area groups,
step two: after the primary zone group is obtained, fine tuning processing is carried out on the primary zone group to obtain a plurality of target zones;
the data acquisition unit is used for transmitting the target area to the temporary storage library by virtue of the area division unit, and the temporary storage library receives the target area transmitted by the area division unit and stores the target area in real time;
the input unit is used for uploading the release information, and the release information is the corresponding release quantity of the intelligent equipment; the input unit is used for transmitting the input quantity to the input analysis unit, the input analysis unit receives the input quantity transmitted by the input unit and performs component input steps by combining a temporary storage library, and the component input steps specifically include:
and dividing the putting information by the number of the target areas to obtain the putting amount of each area, and putting the corresponding intelligent equipment according to the putting amount.
Further, the specific way of the preliminary division in the step one is as follows:
dividing a target area into a plurality of square areas with equal areas, wherein the square areas meet the requirement of fully covering the target area;
and marking all the square areas as primary areas to obtain primary area groups.
Further, the fine tuning process in the second step comprises the following specific steps:
s1: optionally selecting a primary division area;
s2: acquiring the number of personnel with the residence time exceeding T1 in the primary area, wherein T1 is a numerical value preset by management personnel and can be half an hour or one hour;
s3: obtaining the number of people;
s4: then obtaining the number of the personnel on the day corresponding to the selected initial division area, and marking the number as the amount of passing;
s5: continuously acquiring the through-put quantity of nearly 30 days, and marking the through-put quantity as a through-put quantity group Li, i-1.. n;
s6: calculating the average value of Li, and marking the average value as Pl;
s7: and then calculating the deviation value by using a formula, wherein the specific calculation formula is as follows:
s8: when the deviation value is less than X1, according to | Li-PlSequentially removing numerical values from large to small, and recalculating the deviation value after not removing the numerical values once until the deviation value is smaller than X1;
s9: then averaging the remaining via quantities meeting the requirement of step S8, and marking the value as a value of the incoming;
s10: optionally selecting the next primary partition area, and repeating the steps S2-S10 until all the primary partition areas are processed;
s11: obtaining a group of incoming and outgoing values corresponding to the primary zone group;
s12: calculating the average value of the group of the incoming and outgoing values, and calibrating the average value as a target value;
s13: adjusting each primary zone group until the traffic value of each primary zone is a target value;
and obtaining each corrected primary division area, and calibrating the primary division area as a target area.
Further, the specific adjusting method in step S13 may be:
sequencing the primary regions in a sequence from high to low, then taking the highest primary region as a center, and increasing the primary regions from the primary region at the position farthest from the center, wherein the farthest primary regions simultaneously meet the condition that the value of the current value is lower than a target value; and sequentially prolonging the areas of the primary division areas to increase the incoming and outgoing values in the primary division areas until all the primary division areas meet the requirements.
Further, the putting analysis unit transmits a monitoring signal to the processor after the component putting step is completed, and the processor automatically starts to receive other information to work after receiving the monitoring signal transmitted by the putting analysis unit;
the real-time monitoring unit is a monitoring camera arranged on the intelligent equipment and used for acquiring the environmental video around the intelligent equipment in real time and dividing and storing the environmental video by combining the temporary storage unit, and the method comprises the following specific steps:
SS 1: acquiring an environment video;
SS 2: performing segmentation once every T2 time to obtain a stage video;
SS 3: then storing the stage video in a temporary storage unit;
SS 4: when the storage capacity of the temporary storage unit exceeds eighty percent of the total capacity, automatically acquiring all stage videos, and the corresponding stored time and the corresponding stored size of the stage videos;
SS 5: calculating the deletion value of the video in the stage according to the stored time and the stored size, wherein the specific calculation formula is as follows:
cut value 0.455 stored time +0.545 stored size;
SS 6: listing the five stage videos which are the nearest at present as protection videos, and sequentially deleting the stage videos except the protection videos according to the sequence of deletion values from large to small until the storage capacity of the temporary storage unit is less than thirty percent of the total capacity;
the abnormal judgment unit is used for power failure detection arranged in the intelligent equipment, the unit is independently powered by solar energy and supplies power to the intelligent equipment in two sets, when the intelligent equipment is detected to be powered off, a warning signal is automatically transmitted to the real-time monitoring unit, the abnormal judgment unit is used for transmitting the vigilance signal to the processor through the real-time monitoring unit and the temporary unit, the temporary storage unit transmits the protection video to the processor together when transmitting the vigilance signal to the processor, the processor receives the alert signal and the protection video transmitted by the temporary storage unit, the processor is used for acquiring the position of the equipment at the moment by means of the positioning unit, and fusing the device position, the alert signal and the protection video to form detachment information, wherein the processor is used for transmitting the detachment information to the sending unit, and the sending unit is used for automatically forwarding the detachment information to the specified device when receiving the detachment information.
Further, the management unit is in communication connection with the processor, and the management unit is used for recording all preset numerical values.
The invention has the beneficial effects that:
the method comprises the steps that a data acquisition unit is used for acquiring personnel flow data of a target area, the specific acquisition method comprises the steps of firstly, preliminarily dividing the target area to obtain a plurality of preliminary divided area groups, and then, after the preliminary divided area groups are obtained, carrying out fine adjustment processing on the preliminary divided area groups to obtain a plurality of target areas; then, the target area is transmitted to a temporary storage library by means of an area dividing unit;
meanwhile, the input unit is used for uploading the release information, and the release information is the corresponding release quantity of the intelligent equipment; then, receiving the delivery quantity transmitted by the input unit by using a delivery analysis unit, and performing a component delivery step by combining with a temporary storage library to finish delivery of the equipment;
and finally, through independent power supply and environment monitoring and positioning, when the intelligent equipment is subjected to management of a manager under some conditions, the intelligent equipment can also send out the final separation information to remind the manager to process in time, so that unnecessary loss is avoided.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
As shown in fig. 1, an apparatus management system for an intelligent device includes a data acquisition unit, an area division unit, a temporary storage, a delivery analysis unit, an entry unit, a processor, a positioning unit, a sending unit, a management unit, a real-time monitoring unit, a different judgment unit, and a temporary storage unit;
the data acquisition unit is used for acquiring personnel flow data of a target area, and the specific acquisition method comprises the following steps:
the method comprises the following steps: the method comprises the following steps of preliminarily dividing a target area to obtain a plurality of preliminary partition area groups, wherein the specific mode of preliminary division is as follows:
dividing a target area into a plurality of square areas with equal areas, wherein the square areas meet the requirement of fully covering the target area;
marking all the square areas as primary areas to obtain primary area groups;
step two: after the primary zone group is obtained, fine tuning processing is carried out on the primary zone group, and the specific fine tuning processing steps are as follows:
s1: optionally selecting a primary division area;
s2: acquiring the number of personnel with the residence time exceeding T1 in the primary area, wherein T1 is a numerical value preset by management personnel and can be half an hour or one hour;
s3: the number of the people is obtained, the specific monitoring mode can be identified by the monitoring cameras in the corresponding area, and the residence time of the user in the corresponding area is determined according to the time of the user appearing in each camera, the earliest time of the user appearing under the camera in the area and the earliest time of the user appearing in the rest areas, which is common knowledge, so that detailed description is omitted;
s4: then obtaining the number of the personnel on the day corresponding to the selected initial division area, and marking the number as the amount of passing;
s5: continuously acquiring the through-put quantity of nearly 30 days, and marking the through-put quantity as a through-put quantity group Li, i-1.. n;
s6: calculating the average value of Li, and marking the average value as Pl;
s7: and then calculating the deviation value by using a formula, wherein the specific calculation formula is as follows:
s8: when the deviation value is less than X1, according to | Li-PlSequentially removing numerical values from large to small, and recalculating the deviation value after not removing the numerical values once until the deviation value is smaller than X1;
s9: then averaging the remaining via quantities meeting the requirement of step S8, and marking the value as a value of the incoming;
s10: optionally selecting the next primary partition area, and repeating the steps S2-S10 until all the primary partition areas are processed;
s11: obtaining a group of incoming and outgoing values corresponding to the primary zone group;
s12: calculating the average value of the group of the incoming and outgoing values, and calibrating the average value as a target value;
s13: adjusting each primary partition zone group until the traffic value of each primary partition zone is a target value, wherein the specific adjustment method comprises the following steps:
sequencing the primary regions in a sequence from high to low, then taking the highest primary region as a center, and increasing the primary regions from the primary region at the position farthest from the center, wherein the farthest primary regions simultaneously meet the condition that the value of the current value is lower than a target value; sequentially prolonging the areas of the primary division areas to increase the values of the incoming and outgoing areas until all the primary division areas meet the requirements;
obtaining each corrected primary division area, and calibrating the primary division area as a target area;
the data acquisition unit is used for transmitting the target area to the temporary storage library by virtue of the area division unit, and the temporary storage library receives the target area transmitted by the area division unit and stores the target area in real time;
the input unit is used for uploading the release information, and the release information is the corresponding release quantity of the intelligent equipment; the input unit is used for transmitting the input quantity to the input analysis unit, the input analysis unit receives the input quantity transmitted by the input unit and performs component input steps by combining a temporary storage library, and the component input steps specifically include:
dividing the release information by the number of the target areas to obtain release amount of each area, and releasing corresponding intelligent equipment according to the release amount;
the throwing analysis unit transmits a monitoring signal to the processor after the component throwing step is finished, and the processor automatically starts to receive other information for work after receiving the monitoring signal transmitted by the throwing analysis unit;
the real-time monitoring unit is a monitoring camera arranged on the intelligent equipment and used for acquiring the environmental video around the intelligent equipment in real time and dividing and storing the environmental video by combining the temporary storage unit, and the method comprises the following specific steps:
SS 1: acquiring an environment video;
SS 2: performing segmentation once every T2 time to obtain a stage video;
SS 3: then storing the stage video in a temporary storage unit;
SS 4: when the storage capacity of the temporary storage unit exceeds eighty percent of the total capacity, automatically acquiring all stage videos, and the corresponding stored time and the corresponding stored size of the stage videos;
SS 5: calculating the deletion value of the video in the stage according to the stored time and the stored size, wherein the specific calculation formula is as follows:
cut value 0.455 stored time +0.545 stored size;
SS 6: listing the five stage videos which are the nearest at present as protection videos, and sequentially deleting the stage videos except the protection videos according to the sequence of deletion values from large to small until the storage capacity of the temporary storage unit is less than thirty percent of the total capacity;
the abnormal judgment unit is used for power failure detection arranged in the intelligent equipment, the unit is independently powered by solar energy and supplies power to the intelligent equipment in two sets, when the intelligent equipment is detected to be powered off, a warning signal is automatically transmitted to the real-time monitoring unit, the abnormal judgment unit is used for transmitting the vigilance signal to the processor through the real-time monitoring unit and the temporary unit, the temporary storage unit transmits the protection video to the processor together when transmitting the vigilance signal to the processor, the processor receives the alert signal and the protection video transmitted by the temporary storage unit, the processor is used for acquiring the position of the equipment at the moment by means of the positioning unit, the processor is used for transmitting the detachment information to the sending unit, and the sending unit is used for automatically forwarding the detachment information to the specified equipment when receiving the detachment information;
the management unit is in communication connection with the processor and is used for recording all preset numerical values.
An equipment management system for intelligent equipment is used for acquiring personnel flow data of a target area through a data acquisition unit, and the specific acquisition method comprises the steps of firstly carrying out primary division on the target area to obtain a plurality of primary division area groups, and then carrying out fine adjustment processing on the primary division area groups after the primary division area groups are obtained to obtain a plurality of target areas; then, the target area is transmitted to a temporary storage library by means of an area dividing unit;
meanwhile, the input unit is used for uploading the release information, and the release information is the corresponding release quantity of the intelligent equipment; then, receiving the delivery quantity transmitted by the input unit by using a delivery analysis unit, and performing a component delivery step by combining with a temporary storage library to finish delivery of the equipment;
and finally, through independent power supply and environment monitoring and positioning, when the intelligent equipment is subjected to management of a manager under some conditions, the intelligent equipment can also send out the final separation information to remind the manager to process in time, so that unnecessary loss is avoided.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (9)
1. An equipment management system for smart devices, comprising:
the data acquisition unit is used for acquiring personnel flow data of a target area, and the specific acquisition method comprises the following steps:
the method comprises the following steps: preliminarily dividing the target area to obtain a plurality of preliminary divided area groups,
step two: after the primary zone group is obtained, fine tuning processing is carried out on the primary zone group to obtain a plurality of target zones;
the data acquisition unit is used for transmitting the target area to the temporary storage library by virtue of the area division unit, and the temporary storage library receives the target area transmitted by the area division unit and stores the target area in real time;
the input unit is used for uploading the release information, and the release information is the corresponding release quantity of the intelligent equipment; the input unit is used for transmitting the input quantity to the input analysis unit, the input analysis unit receives the input quantity transmitted by the input unit and performs component input steps by combining a temporary storage library, and the component input steps specifically include:
and dividing the putting information by the number of the target areas to obtain the putting amount of each area, and putting the corresponding intelligent equipment according to the putting amount.
2. The device management system for the intelligent device according to claim 1, wherein the preliminary division in the first step is specifically as follows:
dividing a target area into a plurality of square areas with equal areas, wherein the square areas meet the requirement of fully covering the target area;
and marking all the square areas as primary areas to obtain primary area groups.
3. The device management system for the intelligent device according to claim 1, wherein the fine-tuning process in the second step specifically comprises the steps of:
s1: optionally selecting a primary division area;
s2: acquiring the number of personnel with the residence time exceeding T1 in the primary area, wherein T1 is a numerical value preset by management personnel and can be half an hour or one hour;
s3: obtaining the number of people;
s4: then obtaining the number of the personnel on the day corresponding to the selected initial division area, and marking the number as the amount of passing;
s5: continuously acquiring the through-put quantity of nearly 30 days, and marking the through-put quantity as a through-put quantity group Li, i-1.. n;
s6: calculating the average value of Li, and marking the average value as Pl;
s7: and then calculating the deviation value by using a formula, wherein the specific calculation formula is as follows:
s8: when the deviation value is less than X1, according to | Li-PlSequentially removing numerical values from large to small, and recalculating the deviation value after not removing the numerical values once until the deviation value is smaller than X1;
s9: then averaging the remaining via quantities meeting the requirement of step S8, and marking the value as a value of the incoming;
s10: optionally selecting the next primary partition area, and repeating the steps S2-S10 until all the primary partition areas are processed;
s11: obtaining a group of incoming and outgoing values corresponding to the primary zone group;
s12: calculating the average value of the group of the incoming and outgoing values, and calibrating the average value as a target value;
s13: adjusting each primary zone group until the traffic value of each primary zone is a target value;
and obtaining each corrected primary division area, and calibrating the primary division area as a target area.
4. The device management system according to claim 3, wherein the specific adjustment method in step S13 includes:
sequencing the primary regions in a sequence from high to low, then taking the highest primary region as a center, and increasing the primary regions from the primary region at the position farthest from the center, wherein the farthest primary regions simultaneously meet the condition that the value of the current value is lower than a target value; and sequentially prolonging the areas of the primary division areas to increase the incoming and outgoing values in the primary division areas until all the primary division areas meet the requirements.
5. The device management system for the intelligent device according to claim 1, wherein the placement analysis unit transmits a monitoring signal to the processor after performing the component placement step, and the processor automatically starts to receive other information to work after receiving the monitoring signal transmitted by the placement analysis unit.
6. The equipment management system according to claim 5, further comprising a real-time monitoring unit, wherein the real-time monitoring unit is a monitoring camera arranged on the intelligent equipment and is configured to acquire an environmental video around the intelligent equipment in real time and combine the temporary storage unit to segment and store the environmental video to obtain a protection video.
7. The device management system for the intelligent device according to claim 6, further comprising a different determination unit, wherein the different determination unit is used for detecting power failure in the intelligent device, the different determination unit is independently powered by solar energy and is used for powering the intelligent device and the intelligent device, when the power failure of the intelligent device is detected, the different determination unit automatically transmits a warning signal to the real-time monitoring unit, the different determination unit is used for transmitting the warning signal to the processor through the real-time monitoring unit and the temporary storage unit, the temporary storage unit transmits the protection video to the processor when transmitting the warning signal to the processor, the processor receives the warning signal and the protection video transmitted by the temporary storage unit, the processor is used for acquiring the current device position by the positioning unit and fusing the device position, the warning signal and the protection video to form detachment information, and the processor is used for transmitting the detachment information to the transmitting unit, the sending unit is used for automatically forwarding the detachment information to the specified equipment when the detachment information is received.
8. The device management system for the intelligent device according to claim 1, further comprising a management unit, wherein the management unit is in communication connection with the processor; the management unit is used for recording all preset numerical values.
9. The device management system for the intelligent device according to claim 6, comprising the following specific steps:
SS 1: acquiring an environment video;
SS 2: performing segmentation once every T2 time to obtain a stage video;
SS 3: then storing the stage video in a temporary storage unit;
SS 4: when the storage capacity of the temporary storage unit exceeds eighty percent of the total capacity, automatically acquiring all stage videos, and the corresponding stored time and the corresponding stored size of the stage videos;
SS 5: calculating the deletion value of the video in the stage according to the stored time and the stored size, wherein the specific calculation formula is as follows:
cut value 0.455 stored time +0.545 stored size;
SS 6: and listing the five stage videos which are next to the nearest as the protection videos, and deleting the stage videos except the protection videos in sequence from large to small according to the deletion value until the storage capacity of the temporary storage unit is less than thirty percent of the total capacity.
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| CN202110859143.8A CN113592446A (en) | 2021-07-28 | 2021-07-28 | Equipment management system for intelligent equipment |
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| CN202110859143.8A CN113592446A (en) | 2021-07-28 | 2021-07-28 | Equipment management system for intelligent equipment |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114336935A (en) * | 2021-12-27 | 2022-04-12 | 宁波南方航空油料辅机厂 | Energy supply system for underground water level monitoring |
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2021
- 2021-07-28 CN CN202110859143.8A patent/CN113592446A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114336935A (en) * | 2021-12-27 | 2022-04-12 | 宁波南方航空油料辅机厂 | Energy supply system for underground water level monitoring |
| CN114336935B (en) * | 2021-12-27 | 2023-03-28 | 山东高创自动化设备有限公司 | Energy supply system for underground water level monitoring |
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Application publication date: 20211102 |