CN113986655B - Data acquisition and analysis system and platform based on monitoring equipment - Google Patents
Data acquisition and analysis system and platform based on monitoring equipment Download PDFInfo
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Abstract
The invention discloses a data acquisition and analysis system and platform based on monitoring equipment, and relates to the technical field of data analysis; the system is used for solving the problem that the monitoring equipment is frequently damaged and cannot be monitored due to the fact that the state of the monitoring equipment cannot be analyzed in time in the existing monitoring equipment acquisition system, and comprises the monitoring equipment and an acquisition and analysis subsystem in communication connection with the monitoring equipment; the acquisition and analysis subsystem comprises a data acquisition module, a database, a data analysis module, an execution processing module, a parameter processing module, a registration and login module and an information acquisition unit; the equipment information of the monitoring equipment is processed and the data score is obtained by combining the terminal parameters of the registration processing terminal, so that the equipment information of the corresponding monitoring equipment is reasonably selected and processed by the corresponding information processing terminal, and the information processing efficiency is improved; meanwhile, early warning analysis is carried out on the monitoring equipment, so that the monitoring equipment can be known in time, and the problem that data monitoring cannot be carried out due to the failure of the monitoring equipment is avoided.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a data acquisition and analysis system and platform based on monitoring equipment.
Background
The monitoring equipment mainly comprises a front-end device and a rear-end device, wherein the front-end device usually comprises a camera, a manual or electric lens, a holder, a protective cover, a monitor, an alarm detector, a multifunctional decoder and other components, which respectively play their roles and establish corresponding relations (transmitting video/audio signals and control and alarm signals) with various devices of a central control system through wired, wireless or optical fiber transmission media. Cameras and lenses to achieve surveillance field image acquisition are essential. The back-end equipment can be further divided into central control equipment and sub-control equipment;
the existing monitoring equipment acquisition system has the technical problem that the monitoring equipment cannot be monitored due to frequent damage caused by failure of the monitoring equipment due to failure of timely analysis of the state of the monitoring equipment.
Disclosure of Invention
The invention aims to provide a monitoring equipment-based data acquisition and analysis system and a monitoring equipment-based data acquisition and analysis platform, aiming at solving the problem that the existing monitoring equipment acquisition system cannot analyze the state of monitoring equipment in time, so that the monitoring equipment is frequently damaged and cannot be monitored.
The purpose of the invention can be realized by the following technical scheme:
in a first aspect, the invention provides a data acquisition and analysis system based on monitoring equipment, which comprises the monitoring equipment and an acquisition and analysis subsystem in communication connection with the monitoring equipment; the monitoring equipment is used for acquiring video data in a monitoring range and transmitting the video data to the acquisition and analysis subsystem; the acquisition and analysis subsystem comprises a data acquisition module, a database, a data analysis module and an execution processing module; the data acquisition module is used for acquiring equipment information generated by the monitoring equipment in real time and sending the equipment information to the data analysis module; the data analysis module is used for marking the received equipment information of the same monitoring equipment as data to be analyzed and acquiring terminal parameters of all the registered processing terminals, wherein the terminal parameters comprise a terminal base value and a terminal reverse value; processing the terminal parameters to obtain data scores of the registration processing terminals, marking the registration processing terminal with the maximum data score as an information processing terminal, and finally sending the data to be analyzed to the information processing terminal; processing the data through an information processing terminal to obtain a standby state value of the monitoring equipment and sending the standby state value to an execution processing module; the execution processing module is used for receiving the standby condition value of the monitoring equipment and judging, and when the standby condition value is larger than a set threshold value, generating an equipment early warning signaling of the monitoring equipment and feeding the equipment early warning signaling back to corresponding equipment personnel for early warning display.
As an embodiment of the present invention, the method further includes:
the registration login module is used for submitting terminal information for registration through the computer terminal by a user, sending the terminal information which is successfully registered to the database for storage, and marking the computer terminal which is successfully registered as a registration terminal; the terminal information comprises the model, the communication number, the processor model, the position and the like of the computer terminal;
the information acquisition unit is used for acquiring first information of the data to be analyzed received by the registration terminal and sending the first information to the database; the first information comprises the total times of receiving the data to be analyzed by the registration terminal, the time of receiving the data to be analyzed and the time of feeding back the standby condition value.
As an embodiment of the present invention, the method further includes:
the parameter processing module is used for acquiring the terminal information and the first information of the registered terminal in the database, analyzing and processing the terminal information and the first information to obtain the terminal parameters of the registered terminal, and sending the terminal parameters to the database, wherein the specific analysis and processing process comprises the following steps:
processing the terminal information, setting all computer processor models to correspond to a preset processor model value, and matching the model of the registered terminal with all the computer processor models to obtain the preset processor model value corresponding to the registered terminal model; sending a rapid test signaling to a registered terminal to acquire uploading rate data and downloading rate data of the registered terminal; processing the uploading rate data to obtain an uploading quantity value; a download quantity value for processing the download rate data; normalizing the model value, the upper quantity value and the lower quantity value of the preset processor, taking the normalized values of the preset processor model value, the upper quantity value and the lower quantity value, and respectively marking the values of the preset processor model value, the upper quantity value and the lower quantity value as SK1, SK2 and SK 3; using formulas
Obtaining an end value DJ of the registered terminal; wherein bs1, bs2 and bs3 are all preset weighting factors;
processing the first information, calculating a difference value between the time of receiving the data to be analyzed and the time of feeding back the standby condition value to obtain the time consumption of the single data of the registered terminal, and marking the value of the time consumption of the single data of the registered terminal as thi; i is the total number of times the registered terminal receives the data to be analyzed,
n is positive integer and is substituted into formula
And obtaining the end inverse value DF of the registered terminal.
As the inventionThe device information includes a location, a model, temperature data, and current data of the monitoring device; the specific process of processing the data to be analyzed by the information processing terminal to obtain the standby condition value is as follows: analyzing the temperature data and the current data, comparing the currents in the current data, and when the number of times of zero occurrence of the current value is more than or equal to a set number value; directly taking a preset maximum value of the standby condition value; when the number of times of zero occurrence of the current value is less than a set number value; performing deviation analysis on the temperature and current values to obtain a temperature deviation value YL1 and a flow deviation value LL 1; using formulas
The standby value BK is obtained.
As an embodiment of the present invention, a specific process of performing deviation analysis on the temperature and the current value is as follows:
the temperature values in the temperature data are labeled Wdj,
n is positive integer; using formulas
Obtaining a temperature separation value YL 1;
comparing the current value in the current data with a corresponding preset normal current range, and marking the current value which does not belong to the preset normal current range as an abnormal current value; comparing the abnormal current value with the maximum value or the minimum value in a preset normal current range; when the abnormal current value is larger than the maximum value in the preset normal current range, subtracting the maximum value in the preset normal current range from the abnormal current value to obtain a larger value; when the abnormal current value is smaller than the minimum value in the preset normal current range, calculating the difference value between the abnormal current value and the minimum value to obtain a small value; summing all the large values to obtain a large total value and marking the large total value as PD; summing all the small values to obtain a small total value and marking the small total value as PX; using formulas
Obtaining a flow-off value LL 1; wherein, dd1 and dd2 are both preset weighting factors.
In a second aspect, the invention provides a monitoring device based data acquisition and analysis platform, which comprises a device processing subsystem and the monitoring device based data acquisition and analysis system; the equipment processing subsystem comprises an inquiry display module and a maintenance processing module;
the query display module is used for equipment personnel to log in through a computer terminal and access the equipment information and the video data stored in the acquisition and analysis subsystem;
the maintenance processing module is used for submitting an equipment maintenance instruction after the equipment personnel receive the equipment early warning signaling and informing the corresponding processing personnel to maintain the monitoring equipment corresponding to the equipment early warning signaling, and the specific maintenance processing process comprises the following steps: the method comprises the steps that maintenance personnel of all monitoring equipment are obtained, and position obtaining instructions are sent to mobile phone terminals of the maintenance personnel to obtain the current positions of the maintenance personnel and maintenance confirming instructions; marking maintenance personnel who send maintenance confirmation instructions as first personnel;
marking the monitoring equipment corresponding to the equipment early warning signaling as equipment to be maintained; calculating the position distance between the position of the equipment to be maintained and the current position of the first person to obtain a maintenance distance;
normalizing the maintenance interval, the dimension and value of the first person and the number to be maintained, taking the normalized values of the maintenance interval, the dimension and value of the first person and the number to be maintained, and respectively marking the normalized values as EF1, EF2 and EF 3;
using formulas
Obtaining a dimension merit value EX of the first person; marking the first person with the largest maintenance figure of merit as a processing person of the equipment to be maintained, and increasing the number of the processing person with maintenance by one; sending the position of the equipment to be maintained and a maintenance instruction to a mobile phone terminal of a processor; after receiving the position of the equipment to be maintained and the maintenance instruction through the mobile phone terminal, the processing personnel reaches the position of the equipment to be maintained and carries out maintenance and repair, and after the maintenance and repair are finished, the processing completion instruction is fed back to the maintenance processingA module for increasing the total number of times of treatment by the treating person once;
the maintenance processing module is also used for collecting the time when the processing personnel receives the maintenance instruction and the time and feeding back the processing completion instruction; calculating the time difference between the two moments to obtain the maintenance completion duration; summing all the values of the maintenance completion time of the processing personnel, taking the average value to obtain a maintenance completion average value, and marking the maintenance completion average value as TS 1; marking the total number of treatments by the treating person as TS 2; using formulas
The dimension of the handler is obtained as EF 2.
Compared with the prior art, the invention has the beneficial effects that: the method comprises the steps that equipment information generated by monitoring equipment is collected in real time through a data collection module, a data analysis module marks the equipment information received by the same monitoring equipment as data to be analyzed, terminal parameters of all registered processing terminals are obtained, the terminal parameters are processed to obtain data values of the registered processing terminals, the registered processing terminal with the maximum data value is marked as an information processing terminal, and finally the data to be analyzed are sent to the information processing terminal; the information processing terminal is used for processing to obtain a standby condition value of the monitoring equipment and sending the standby condition value to the execution processing module, the execution processing module receives and judges the standby condition value of the monitoring equipment, and when the standby condition value is larger than a set threshold value, an equipment early warning signaling of the monitoring equipment is generated and fed back to corresponding equipment personnel for early warning display; the equipment information of the monitoring equipment is processed and the data score is obtained by combining the terminal parameters of the registration processing terminal, so that the equipment information corresponding to the monitoring equipment is reasonably selected and processed by the corresponding information processing terminal, and the information processing efficiency is improved; meanwhile, early warning analysis is carried out on the monitoring equipment, so that the monitoring equipment can be known in time, and the problem that data monitoring cannot be carried out due to the failure of the monitoring equipment 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 schematic block diagram of the system of the present invention;
FIG. 2 is a block diagram of the platform of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a data acquisition and analysis system based on monitoring devices includes a plurality of monitoring devices and an acquisition and analysis subsystem; the monitoring equipment acquires video data in a monitoring range and transmits the video data to the acquisition and analysis subsystem through the Internet of things;
the acquisition and analysis subsystem comprises a data acquisition module, a database, a data analysis module, an execution processing module, a parameter processing module, a registration and login module and an information acquisition unit;
the registration login module is used for submitting terminal information for registration through the computer terminal by a user, sending the terminal information which is successfully registered to the database for storage, and marking the computer terminal which is successfully registered as a registration terminal; the terminal information comprises the model, the communication number, the processor model, the position and the like of the computer terminal;
the information acquisition unit is used for acquiring first information of the data to be analyzed received by the registration terminal and sending the first information to the database; the first information comprises the total times of receiving the data to be analyzed by the registration terminal, the time of receiving the data to be analyzed and the time of feeding back the standby condition value;
the data acquisition module is used for acquiring equipment information generated by the monitoring equipment in real time and sending the equipment information to the data analysis module, wherein the equipment information comprises the position, the model, the temperature data and the current data of the monitoring equipment;
the parameter processing module is used for acquiring the terminal information and the first information of the registered terminal in the database, analyzing and processing the terminal information and the first information to obtain the terminal parameters of the registered terminal, and sending the terminal parameters to the database, wherein the specific analysis and processing process comprises the following steps:
setting all computer processor models to correspond to a preset processor model value, and matching the model of the registered terminal with all the computer processor models to obtain the preset processor model value corresponding to the registered terminal model; sending a rapid test signaling to a registered terminal to acquire uploading rate data and downloading rate data of the registered terminal; processing the uploading rate data to obtain an uploading quantity value; a download quantity value for processing the download rate data; normalizing the model value, the upper quantity value and the lower quantity value of the preset processor, taking the normalized values of the preset processor model value, the upper quantity value and the lower quantity value, and respectively marking the values of the preset processor model value, the upper quantity value and the lower quantity value as SK1, SK2 and SK 3; using formulas
Obtaining an end value DJ of the registered terminal; wherein bs1, bs2 and bs3 are preset weighting factors, and values thereof are respectively 0.64, 0.89 and 1.2;
calculating the difference between the time of receiving the data to be analyzed and the time of feeding back the standby condition value to obtain the time consumption length of the single data of the registered terminal, and marking the time consumption length value of the single data of the registered terminal as thi; i is the total number of times the registered terminal receives the data to be analyzed,
and n is a positive integer and is substituted into the formula
Obtaining an end inverse value DF of the registered terminal;
the data analysis module is used for marking the received equipment information of the same monitoring equipment as data to be analyzed and acquiring terminal parameters of all the registered processing terminals;
using formulas
The method comprises the steps that data score JF of a registration processing terminal is obtained, the registration processing terminal with the largest data score is marked as an information processing end, and finally data to be analyzed are sent to the information processing end;
processing the data through an information processing terminal to obtain a standby state value of the monitoring equipment and sending the standby state value to an execution processing module; the specific process of processing the data to be analyzed to obtain the standby condition value is as follows: analyzing the temperature data and the current data, comparing the currents in the current data, and when the number of times of zero occurrence of the current value is more than or equal to a set number value; directly taking a preset maximum value of the standby condition value; when the number of times of zero occurrence of the current value is less than a set number value; performing deviation analysis on the temperature and current values to obtain a temperature deviation value YL1 and a flow deviation value LL 1; the specific process of performing deviation analysis on the temperature and the current value is as follows:
the temperature values in the temperature data are labeled Wdj,
n is positive integer; using formulas
Obtaining a temperature separation value YL 1;
comparing the current value in the current data with a corresponding preset normal current range, and marking the current value which does not belong to the preset normal current range as an abnormal current value; comparing the abnormal current value with the maximum value or the minimum value in a preset normal current range; when the abnormal current value is larger than the maximum value in the preset normal current range, subtracting the maximum value in the preset normal current range from the abnormal current value to obtain a larger value; when the abnormal current value is smaller than the minimum value in the preset normal current range, calculating the difference value between the abnormal current value and the preset normal current range to obtain a smaller value; summing all the large values to obtain a large total value and marking the large total value as PD; summing all the smaller values to obtain a smaller total value which is marked as PX; using formulas
Obtaining a flow-off value LL 1; wherein dd1 and dd2 are both preset weighting factors; the values of dd1 and dd2 are 0.64 and 0.36 respectively;
using formulas
Obtaining a standby condition value BK; the execution processing module is used for receiving and judging the standby condition value of the monitoring equipment, and when the standby condition value is larger than a set threshold value, generating an equipment early warning signaling of the monitoring equipment and feeding the equipment early warning signaling back to corresponding equipment personnel for early warning display;
referring to fig. 2, a data acquisition and analysis platform based on monitoring equipment includes an equipment processing subsystem, monitoring equipment, and an acquisition and analysis subsystem;
the equipment processing subsystem comprises an inquiry display module and a maintenance processing module;
the query display module is used for equipment personnel to log in through a computer terminal and access the equipment information and the video data stored in the acquisition and analysis subsystem;
the maintenance processing module is used for submitting an equipment maintenance instruction after the equipment personnel receive the equipment early warning signaling and informing corresponding processing personnel to maintain and process the monitoring equipment corresponding to the equipment early warning signaling, and the specific maintenance processing process comprises the following steps: the method comprises the steps that maintenance personnel of all monitoring equipment are obtained, and position obtaining instructions are sent to mobile phone terminals of the maintenance personnel to obtain the current positions of the maintenance personnel and maintenance confirming instructions; marking maintenance personnel who send maintenance confirmation instructions as first personnel;
marking the monitoring equipment corresponding to the equipment early warning signaling as equipment to be maintained; calculating the position distance between the position of the equipment to be maintained and the current position of the first person to obtain a maintenance distance;
normalizing the maintenance interval, the dimension and value of the first person and the number to be maintained, taking the normalized values of the maintenance interval, the dimension and value of the first person and the number to be maintained, and respectively marking the normalized values as EF1, EF2 and EF 3;
using formulas
Obtaining a dimension merit value EX of the first person; marking the first person with the maximum dimension merit value as a processing person of the equipment to be maintained, and increasing the number of the processing person with maintenance by one; sending the position of the equipment to be maintained and a maintenance instruction to a mobile phone terminal of a processor; the processing personnel receives the information through the mobile phone terminalAfter the position of the equipment to be maintained and the maintenance instruction are received, the equipment to be maintained is positioned and maintained, and after the maintenance and the maintenance are completed, a processing completion instruction is fed back to the maintenance processing module, so that the total processing times of the processing personnel are increased once;
the maintenance processing module is also used for collecting the time when the processing personnel receives the maintenance instruction and the time and feeding back the processing completion instruction; calculating the time difference between the two moments to obtain the maintenance completion duration; summing all the values of the maintenance completion time of the processing personnel, taking the average value to obtain a maintenance completion average value, and marking the maintenance completion average value as TS 1; marking the total number of treatments by the treating person as TS 2; using formulas
The dimension EF2 of the handler is obtained.
The working principle of the invention is as follows: the method comprises the steps that equipment information generated by monitoring equipment is collected in real time through a data collection module and is sent to a data analysis module, the data analysis module marks the equipment information received by the same monitoring equipment as data to be analyzed, terminal parameters of all registered processing terminals are obtained, the terminal parameters are processed to obtain data scores of the registered processing terminals, the registered processing terminal with the maximum data score is marked as an information processing terminal, and finally the data to be analyzed are sent to the information processing terminal; the information processing terminal is used for processing to obtain a standby condition value of the monitoring equipment and sending the standby condition value to the execution processing module, the execution processing module receives and judges the standby condition value of the monitoring equipment, and when the standby condition value is larger than a set threshold value, an equipment early warning signaling of the monitoring equipment is generated and fed back to corresponding equipment personnel for early warning display; the equipment information of the monitoring equipment is processed and the data score is obtained by combining the terminal parameters of the registration processing terminal, so that the equipment information of the corresponding monitoring equipment of the corresponding information processing terminal is reasonably selected and processed, and the information processing efficiency is improved; meanwhile, early warning analysis is carried out on the monitoring equipment, so that the monitoring equipment can be known in time, and the problem that data monitoring cannot be carried out due to the failure of the monitoring equipment is avoided.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms 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 utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (3)
1. A data acquisition and analysis system based on monitoring equipment comprises the monitoring equipment and an acquisition and analysis subsystem in communication connection with the monitoring equipment; the monitoring equipment is used for acquiring video data in a monitoring range and transmitting the video data to the acquisition and analysis subsystem; the acquisition and analysis subsystem comprises a data acquisition module, a database, a data analysis module and an execution processing module; the data acquisition module is used for acquiring equipment information generated by the monitoring equipment in real time and sending the equipment information to the data analysis module; the system is characterized in that the data analysis module is used for marking the received equipment information of the same monitoring equipment as data to be analyzed and acquiring terminal parameters of all registered processing terminals, wherein the terminal parameters comprise a terminal base value and a terminal reverse value; processing the terminal parameters to obtain data scores of the registration processing terminals, marking the registration processing terminal with the maximum data score as an information processing terminal, and finally sending the data to be analyzed to the information processing terminal; processing the data through an information processing terminal to obtain a standby state value of the monitoring equipment and sending the standby state value to an execution processing module; the execution processing module is used for receiving and judging the standby condition value of the monitoring equipment, and when the standby condition value is larger than a set threshold value, generating an equipment early warning signaling of the monitoring equipment and feeding the equipment early warning signaling back to corresponding equipment personnel for early warning display;
further comprising: the parameter processing module is used for acquiring the terminal information and the first information of the registered terminal in the database, analyzing and processing the terminal information and the first information to obtain the terminal parameters of the registered terminal, and sending the terminal parameters to the database, wherein the specific analysis and processing process comprises the following steps:
processing terminal information, and setting all computer processor models to correspond to a preset positionThe processor model value is used for matching the model of the registered terminal with all the computer processor models to obtain a preset processor model value corresponding to the registered terminal model; sending a rapid test signaling to a registered terminal to acquire uploading rate data and downloading rate data of the registered terminal; processing the uploading rate data to obtain an uploading quantity value; a download quantity value for processing the download rate data; normalizing the model value, the upper quantity value and the lower quantity value of the preset processor, taking the normalized values of the preset processor model value, the upper quantity value and the lower quantity value, and respectively marking the values of the preset processor model value, the upper quantity value and the lower quantity value as SK1, SK2 and SK 3; using formulas
Obtaining an end value DJ of the registered terminal; wherein bs1, bs2 and bs3 are all preset weighting factors;
processing the first information, calculating a difference value between the time of receiving the data to be analyzed and the time of feeding back the standby condition value to obtain the time consumption of the single data of the registered terminal, and marking the value of the time consumption of the single data of the registered terminal as thi; i is the total times of receiving the data to be analyzed by the registered terminal, i =1,2, … …, n, n is positive integer, and is substituted into the formula
Obtaining an end inverse value DF of the registered terminal;
the equipment information comprises the position, the model, the temperature data and the current data of the monitoring equipment; the specific process of processing the data to be analyzed by the information processing terminal to obtain the standby condition value is as follows: analyzing the temperature data and the current data, comparing the currents in the current data, and when the number of times of zero occurrence of the current value is more than or equal to a set number value; directly taking a preset maximum value of the standby condition value; when the number of times of zero occurrence of the current value is less than a set number value; performing deviation analysis on the temperature and current values to obtain a temperature deviation value YL1 and a flow deviation value LL 1; obtaining a standby condition value BK by using a formula BK = YL1 × 0.45+ LL1 × 0.55;
the specific process of carrying out deviation analysis on the temperature and the current value is as follows:
in the temperature dataThe temperature values are labeled as Wdj, j =1,2, … …, n, n being positive integers; using a formula
Obtaining a temperature separation value YL 1;
comparing the current value in the current data with a corresponding preset normal current range, and marking the current value which does not belong to the preset normal current range as an abnormal current value; comparing the abnormal current value with the maximum value or the minimum value in a preset normal current range; when the abnormal current value is larger than the maximum value in the preset normal current range, subtracting the maximum value in the preset normal current range from the abnormal current value to obtain a larger value; when the abnormal current value is smaller than the minimum value in the preset normal current range, calculating the difference value between the abnormal current value and the minimum value to obtain a small value; summing all the large values to obtain a large total value and marking the large total value as PD; summing all the smaller values to obtain a smaller total value which is marked as PX; obtaining a flow-off value LL1 using the formula LL1= PD × dd1+ PX × dd 2; wherein, dd1 and dd2 are both preset weighting factors.
2. The monitoring-device-based data collection and analysis system of claim 1, further comprising:
the registration login module is used for submitting terminal information for registration through the computer terminal by a user, sending the terminal information which is successfully registered to the database for storage, and marking the computer terminal which is successfully registered as a registration terminal; the terminal information comprises the model, the communication number, the processor model and the position of the computer terminal;
the information acquisition unit is used for acquiring first information of the data to be analyzed received by the registration terminal and sending the first information to the database; the first information comprises the total times of receiving the data to be analyzed by the registered terminal, the time of receiving the data to be analyzed and the time of feeding back the standby condition value.
3. A monitoring-device-based data collection and analysis platform, comprising a device processing subsystem and a monitoring-device-based data collection and analysis system according to any one of claims 1 to 2; the equipment processing subsystem comprises an inquiry display module and a maintenance processing module;
the query display module is used for equipment personnel to log in through a computer terminal and access the equipment information and the video data stored in the acquisition and analysis subsystem;
and the maintenance processing module is used for submitting an equipment maintenance instruction after the equipment personnel receive the equipment early warning signaling and informing corresponding processing personnel to carry out maintenance processing on the monitoring equipment corresponding to the equipment early warning signaling.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111183697.7A CN113986655B (en) | 2021-10-11 | 2021-10-11 | Data acquisition and analysis system and platform based on monitoring equipment |
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| CN114362376A (en) * | 2022-03-19 | 2022-04-15 | 山东中安电力科技有限公司 | Box-type substation health state monitoring system based on big data analysis |
| CN114913675A (en) * | 2022-05-13 | 2022-08-16 | 邹平县宏正新材料科技有限公司 | Real-time monitoring system for aluminum electrolysis production |
| CN114629811A (en) * | 2022-05-16 | 2022-06-14 | 上海泛腾电子科技有限公司 | Operation monitoring method for industrial Ethernet communication system |
| CN114666405B (en) * | 2022-05-26 | 2022-08-12 | 河北兰科网络工程集团有限公司 | System and method for integrating data engines of multiple types of acquisition equipment |
| CN115983835B (en) * | 2023-01-30 | 2023-07-28 | 北京惠朗时代科技有限公司 | Wireless heating energy consumption analysis and supervision system based on Internet of things |
| CN116032977B (en) * | 2023-03-24 | 2023-05-30 | 中国电力工程顾问集团西南电力设计院有限公司 | Intelligent power plant intelligent monitoring early warning maintenance management system based on Internet of things |
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