CN113835026A - Monitoring system for intelligence switch based on thing networking - Google Patents
Monitoring system for intelligence switch based on thing networking Download PDFInfo
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- CN113835026A CN113835026A CN202111114008.7A CN202111114008A CN113835026A CN 113835026 A CN113835026 A CN 113835026A CN 202111114008 A CN202111114008 A CN 202111114008A CN 113835026 A CN113835026 A CN 113835026A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/327—Testing of circuit interrupters, switches or circuit-breakers
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00036—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02B90/20—Smart grids as enabling technology in buildings sector
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/128—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment involving the use of Internet protocol
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Abstract
The invention discloses a monitoring system for an intelligent switch based on the Internet of things, which aims to solve the problem that the error deviation of monitoring data is large because the existing intelligent switch monitoring cannot carry out bidirectional monitoring on environment and equipment and reasonably selects personnel to calibrate a sensor in time; the system comprises an environment detection module, a switch acquisition module, an information gathering module and a monitoring end; the environment detection module, the switch acquisition module, the information gathering module and the monitoring end are in communication connection through the Internet of things; according to the intelligent switch monitoring system, the environment detection module and the switch acquisition module are used for acquiring the environment information in the coal mine and the operation information of the intelligent switch, and then the environment information and the operation information are transmitted to the monitoring end through the Internet of things, so that the environment and equipment are monitored, the environment information and the operation information are monitored and early warned, and the two-way early warning of the environment and the equipment is realized; the sensor is calibrated and analyzed so as to ensure the accuracy of the collected data.
Description
Technical Field
The invention relates to the technical field of coal mine monitoring, in particular to an intelligent switch monitoring system based on the Internet of things.
Background
The rapid development of network communication technologies such as the Internet of things and the like enables the current coal mine production to enter an information and networking era, partial equipment is connected to a mine ring network through a network communication interface, data interaction with a ground dispatching room is realized, a blank is still formed in the aspect of mining switches, and the functions of networking and remote control cannot be effectively realized;
at present, detection and monitoring of surrounding environments are not considered in a mine switch and a soft starter in the market, so that better monitoring management cannot be performed on the environment and equipment in a coal mine, and a solution is provided aiming at the technical defects.
Disclosure of Invention
The invention aims to provide a monitoring system for an intelligent switch based on the Internet of things, aiming at solving the problem that the error deviation of monitoring data is large because the environment and equipment cannot be monitored in two directions and people are reasonably selected to calibrate a sensor in time in the existing intelligent switch monitoring; the invention can effectively monitor the gas concentration, the oxygen concentration, the temperature and the like of the environment, and realize the bidirectional early warning of the environment and equipment.
The purpose of the invention can be realized by the following technical scheme:
a monitored control system for intelligence switch based on thing networking includes:
the environment detection module is used for acquiring environment information in the coal mine and sending the environment information to the information summarizing module; wherein the environmental information comprises position, gas concentration, oxygen concentration, temperature and the like;
the switch acquisition module is used for acquiring the operation information of the intelligent switch and sending the operation information to the information summarizing module; the operation information comprises the position, current, voltage, power, internal temperature and the like of the intelligent switch;
the information collecting module is in communication connection with the environment detection module, the switch acquisition module and the monitoring end through the Internet of things and is used for transmitting environment information, operation information and sensor working information to the monitoring end;
the monitoring terminal is used for receiving and storing the environmental information, the operation information and the sensor working information; carrying out early warning analysis on the environment information and the operation information, generating a parameter early warning signaling corresponding to the parameter when any parameter in the environment information and the operation information is not in a preset normal range corresponding to the parameter, sending the parameter early warning signaling to an intelligent switch, and carrying out early warning display at the same time; the parameter early warning signaling is used for triggering the intelligent switch to carry out parameter fault warning and cutting off a corresponding power supply;
as a preferred embodiment of the present invention, the environment detection module includes a plurality of sensors for collecting environment information, specifically including a temperature and humidity sensor, a gas sensor, an oxygen concentration sensor, and the like; the switch acquisition module is arranged in an inner cavity arranged in the intelligent switch and comprises a plurality of sensors for acquiring operation information, specifically comprising a current sensor, a voltage sensor, a temperature sensor and the like;
as a preferred embodiment of the present invention, the environment detection module and the switch acquisition module are both internally provided with sensor acquisition units; the sensor acquisition unit is used for acquiring sensor working information of the sensors corresponding to the environment detection module and the switch acquisition module and sending the sensor working information to the information summarizing module; the working information of the sensor comprises the position, the model, the power-on duration, the ambient temperature and the magnetic field intensity of the sensor;
as a preferred embodiment of the present invention, the monitoring terminal includes:
the database is used for storing environmental information, operation information and sensor working information;
the input display module is used for accessing and displaying the information stored in the database;
the early warning monitoring module is used for monitoring and analyzing the environmental information and the operation information, acquiring a preset normal range of parameters corresponding to the environmental information and the operation information, comparing the parameters of the environmental information and the operation information with the preset normal range of the corresponding parameters, generating a parameter early warning signaling corresponding to the parameters when any one of the parameters of the environmental information and the operation information is not in the preset normal range corresponding to the parameters, and sending the parameter early warning signaling to the intelligent switch and the input display module;
as a preferred embodiment of the present invention, the monitoring end further includes:
the calibration analysis module is used for performing calibration analysis on the working information of the sensor to obtain a calibration value corresponding to the sensor, and when the calibration value of the sensor is greater than a corresponding set threshold value of the sensor, a calibration processing signaling corresponding to the sensor is generated and sent to the calibration processing module;
the adjusting and processing module is used for receiving the adjusting and processing signaling, performing adjusting and processing operation to obtain a corresponding adjusting and processing person, and sending the adjusting and processing signaling, the corresponding sensor number and the corresponding position to an intelligent terminal of the adjusting and processing person; after receiving the adjustment processing signaling and the corresponding sensor number and position through the intelligent terminal, an adjustment worker calibrates the sensor;
as a preferred embodiment of the present invention, the specific process of performing calibration analysis on the sensor operating information includes: acquiring the adjustment time of the sensor closest to the current time, and marking the adjustment time as a first time; if the time is not adjusted, the installation time of the sensor is marked as a first time; carrying out time difference time on the first moment and the current moment to obtain corresponding uncorrected duration; acquiring a time threshold corresponding to the sensor, subtracting the time threshold from the uncorrected time to obtain an uncorrected value, and marking the uncorrected value as TQ 1;
acquiring all the ambient temperatures of the sensor between the first moment and the current moment, screening the ambient temperatures, and marking the ambient temperatures which are greater than the high-temperature threshold corresponding to the sensor as ultrahigh temperatures; subtracting the high temperature threshold from the ultra-high temperature to obtain an ultra-temperature difference, and marking the ultra-temperature difference as CTm; m represents the number of the super temperature difference and takes the value as a positive integer;
substituting formula Ym ═ 1.74+ (CTm)2/2]-0.79 obtaining a temperature influence value Ym corresponding to the excess temperature difference; summing all the temperature influence values to obtain an influence total value and marking the influence total value as TQ 2;
acquiring the electromagnetic intensity of the sensor at the position between the first moment and the current moment, summing all the electromagnetic intensities, averaging to obtain an electromagnetic intensity average value, and marking the electromagnetic intensity average value as TQ 3;
normalizing the uncorrected difference value, the influence total value and the electromagnetic intensity mean value of the sensor and taking the numerical values of the uncorrected difference value, the influence total value and the electromagnetic intensity mean value; obtaining a calibration value DJ of the sensor by using a formula DJ ═ TQ1 × b1n + TQ2 × b2n ]/10(b1n + b2n) + TQ3 × b3 n; b1n, b2n and b3n are weight coefficients corresponding to the uncorrected difference value, the total influence value and the electromagnetic intensity of the sensor; n is a positive integer and represents the type of the sensor; b11, b21 and b31 are weight coefficients corresponding to the gas sensor; b12, b22 and b32 are weight coefficients corresponding to the temperature sensors;
as a preferred embodiment of the present invention, the tuning processing module performs tuning processing operation by the following specific steps: acquiring a calibrator of the sensor corresponding to the calibration processing signaling; feeding back an information acquisition instruction to an intelligent terminal of a calibrator to acquire personnel parameters of the calibrator, and processing the personnel parameters to obtain a correction value of the calibrator; the calibrator having the largest calibration value is labeled as the calibrator.
As a preferred embodiment of the present invention, the database includes an registration unit, a storage allocation unit, and a plurality of storage terminals; the registration unit is used for submitting terminal information of the intelligent terminal for registration by a worker and marking the intelligent terminal which is successfully registered as a storage terminal; the storage distribution unit is used for distributing the environment information, the operation information and the sensor working information to the storage end for storage.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the intelligent switch monitoring system, the environment detection module and the switch acquisition module are used for acquiring the environment information in the coal mine and the operation information of the intelligent switch, and then the environment information and the operation information are transmitted to the monitoring end through the Internet of things, so that the environment and equipment are monitored, the environment information and the operation information are monitored and early warned, and the two-way early warning of the environment and the equipment is realized;
2. the calibration analysis module performs calibration analysis on the working information of the sensor to obtain a calibration value corresponding to the sensor, and generates a calibration processing signaling corresponding to the sensor and sends the signaling to the calibration processing module when the calibration value of the sensor is greater than a corresponding set threshold value of the sensor; the adjusting and processing module receives the adjusting and processing signaling and performs adjusting and processing operation to obtain a corresponding adjusting and processing person, and sends the adjusting and processing signaling, the corresponding sensor number and the corresponding position to an intelligent terminal of the adjusting and processing person; after receiving the adjustment processing signaling and the corresponding sensor number and position through the intelligent terminal, an adjustment worker calibrates the sensor; the sensor is calibrated and analyzed so as to ensure the accuracy of the collected data.
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 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.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the disclosure herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the disclosure. As used in the specification and claims of this disclosure, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should be further understood that the term "and/or" as used in the specification and claims of this disclosure refers to any and all possible combinations of one or more of the associated listed items and includes such combinations;
referring to fig. 1, a monitoring system for an intelligent switch based on the internet of things includes an environment detection module, a switch acquisition module, an information summarizing module and a monitoring terminal; the environment detection module, the switch acquisition module, the information gathering module and the monitoring end are in communication connection through the Internet of things;
the environment detection module acquires environment information in the coal mine, wherein the environment information comprises position, gas concentration, oxygen concentration, temperature and the like; the switch acquisition module acquires the operation information of the intelligent switch; the operation information comprises the position, current, voltage, power, internal temperature and the like of the intelligent switch; sensor acquisition units are arranged in the environment detection module and the switch acquisition module; the sensor acquisition unit acquires sensor working information of the environment detection module and the switch acquisition module corresponding to the sensors; the working information of the sensor comprises the position, the model, the power-on duration, the ambient temperature and the magnetic field intensity of the sensor;
the information summarizing module sends the environmental information, the operation information and the sensor working information to the monitoring end;
the monitoring end comprises a database, an input display module, an early warning monitoring module, a calibration analysis module and a calibration processing module;
the database stores environment information, operation information and sensor working information and comprises a registration unit, a storage distribution unit and a plurality of storage terminals; the registration unit is used for submitting terminal information of the intelligent terminal for registration by a worker and marking the intelligent terminal which is successfully registered as a storage terminal; the terminal information comprises a model, a communication number, purchase time and the like;
the storage distribution unit is used for distributing the environment information, the operation information and the sensor working information to a storage end for storage; the method comprises the following specific steps: sending a terminal message acquisition instruction to a storage end, wherein the terminal message acquisition instruction is used for triggering the storage end to feed back the residual memory and the current position of the storage end to a storage allocation unit; calculating the distance difference between the current position of the storage end and the position of the storage distribution unit to obtain a communication distance and marking the communication distance as GT 1; marking the residual memory of the storage end as GT 2; obtaining an information effective value of a storage end and marking the information effective value as GT 3; then, carrying out normalization processing on the communication distance, the residual memory and the information effective value and taking the numerical values of the communication distance, the residual memory and the information effective value;
using formulas
Obtaining an information storage value CG of a storage end; wherein f1, f2 and f3 are all preset proportionality coefficients; the preset proportionality coefficient is reasonably set by a person skilled in the art according to actual conditions, such as: the values are respectively 1.3, 1.7 and 1.5; the smaller the communication distance is, the larger the residual memory is and the larger the information value is, the larger the corresponding information value is, the higher the probability of representing the information stored by the storage end is;
marking the information storage value with the maximum information storage value as a selecting terminal; sending the environment information, the operation information and the sensor working information to a selected terminal for storage, and increasing the total storage times CZ1 of the selected terminal once;
recording the access initial time and the access finishing time of the storage environment information, the operation information and the sensor working information in the access selection terminal, and performing time difference on the access initial time and the access finishing time to obtain the access success duration; when the access success time length is smaller than a preset access time length threshold, calculating the difference between the access success time length and the preset access time length threshold to obtain an advance time length, summing all the advance time lengths of the selected end, and taking the average value to obtain an advance average value time length CZ 2; normalizing the average value duration and the total storage times, taking the values of the average value duration and the total storage times, and substituting the two values into a formula GT3 (CZ 1 multiplied by 0.4+1.2/CZ 2) to obtain an information value of a selected end;
the input display module is used for accessing and displaying the information stored in the database; the staff searches and checks the information stored in the database through the input display module;
the early warning monitoring module carries out monitoring analysis to environmental information and operation information, specifically is: acquiring a preset normal range of parameters corresponding to the environment information and the operation information; if the temperature corresponds to a preset normal range of 20 ℃ to 35 ℃; the number of the specific numerical values is reasonably selected by the technical personnel in the field according to the actual situation;
comparing the parameters of the environment information and the operation information with the preset normal range of the corresponding parameters, generating a parameter early warning signaling corresponding to the parameters when any one of the parameters of the environment information and the operation information is not in the preset normal range corresponding to the parameters, and sending the parameter early warning signaling to the intelligent switch and the input display module;
the calibration analysis module is used for performing calibration analysis on the working information of the sensor, acquiring the calibration time of the sensor closest to the current time, and marking the calibration time as a first time; if the time is not adjusted, the installation time of the sensor is marked as a first time; carrying out time difference time on the first moment and the current moment to obtain corresponding uncorrected duration; acquiring a time threshold corresponding to the sensor, subtracting the time threshold from the uncorrected time to obtain an uncorrected value, and marking the uncorrected value as TQ 1;
acquiring all the ambient temperatures of the sensor between the first moment and the current moment, screening the ambient temperatures, and marking the ambient temperatures which are greater than the high-temperature threshold corresponding to the sensor as ultrahigh temperatures; subtracting the high temperature threshold from the ultra-high temperature to obtain an ultra-temperature difference, and marking the ultra-temperature difference as CTm; m represents the number of the super temperature difference and takes the value as a positive integer;
substituting formula Ym ═ 1.74+ (CTm)2/2]-0.79 obtaining a temperature influence value Ym corresponding to the excess temperature difference; summing all the temperature influence values to obtain an influence total value and marking the influence total value as TQ 2;
acquiring the electromagnetic intensity of the sensor at the position between the first moment and the current moment, summing all the electromagnetic intensities, averaging to obtain an electromagnetic intensity average value, and marking the electromagnetic intensity average value as TQ 3;
normalizing the uncorrected difference value, the influence total value and the electromagnetic intensity mean value of the sensor and taking the numerical values of the uncorrected difference value, the influence total value and the electromagnetic intensity mean value; obtaining a calibration value DJ of the sensor by using a formula DJ ═ TQ1 × b1n + TQ2 × b2n ]/10(b1n + b2n) + TQ3 × b3 n; b1n, b2n and b3n are weight coefficients corresponding to the uncorrected difference value, the total influence value and the electromagnetic intensity of the sensor; n is a positive integer and represents the type of the sensor; b11, b21 and b31 are weight coefficients corresponding to the gas sensor; b12, b22 and b32 are weight coefficients corresponding to the temperature sensors; when the calibration value of the sensor is greater than the corresponding set threshold value of the sensor, generating a calibration processing signaling corresponding to the sensor and sending the calibration processing signaling to the calibration processing module; the larger the uncorrected difference value, the total influence value and the electromagnetic intensity are obtained through a formula, the larger the corresponding correction value is, and the higher the probability that the sensor sends a calibrator to calibrate is; the sensor is calibrated and analyzed, so that the accuracy of the acquired data is guaranteed; the situation that the difference between the data collected by the sensor and the actual error is large and the use of a monitoring system is influenced due to untimely adjustment of the sensor is avoided;
the adjusting and processing module receives the adjusting and processing signaling and performs the adjusting and processing operation to obtain corresponding adjusting and processing personnel, and the adjusting and processing module specifically comprises: acquiring a calibrator of the sensor corresponding to the calibration processing signaling; feeding back an information acquisition instruction to an intelligent terminal of a calibrator to acquire the current position and the idle state of the calibrator; acquiring a calibrator in an idle state, and calculating the distance between the current position of the calibrator in the idle state and the position corresponding to the sensor corresponding to the calibration processing signaling to obtain a calibration distance and marking the calibration distance as RF 1;
acquiring the total number of times of the month and the age of the calibrator and respectively marking as RF2 and RF 3; marking the adjusting distance, the age and the total times of the current month as personnel parameters;
normalizing the adjustment interval, age and the total number of times of the month, taking the numbers of the adjustment interval, age and total number of times of the month, and substituting the numbers into a preset formula
Obtaining a correction value of a calibrator; marking the calibrator with the maximum calibration value as a calibrator; the smaller the adjustment distance of a calibrator is, the closer the age is to 40 years, and the total times in the month are, the larger the correction value is obtained through a formula, and the probability that the calibrator calibrates the sensor is higher;
transmitting the adjusting processing signaling, the corresponding sensor number and the corresponding position to an intelligent terminal of an adjusting worker; after receiving the adjustment processing signaling and the corresponding sensor number and position through the intelligent terminal, an adjustment worker calibrates the sensor;
when the intelligent switch is used, environment information in a coal mine and operation information of the intelligent switch are acquired through the environment detection module and the switch acquisition module and then transmitted to the monitoring end through the Internet of things, so that the environment and equipment are monitored, monitoring and early warning are further performed on the environment information and the operation information, bidirectional early warning of the environment and the equipment is realized, the adjustment analysis module performs adjustment analysis on working information of the sensor to obtain an adjustment time of the sensor, which is closest to the current time, and the adjustment time is marked as a first time; if the time is not adjusted, the installation time of the sensor is marked as a first time; carrying out time difference time on the first moment and the current moment to obtain corresponding uncorrected duration; acquiring a time length threshold corresponding to the sensor, and subtracting the time length threshold from the uncorrected time length to obtain an uncorrected difference value; acquiring all the ambient temperatures of the sensor between the first moment and the current moment, screening the ambient temperatures, and marking the ambient temperatures which are greater than the high-temperature threshold corresponding to the sensor as ultrahigh temperatures; subtracting a high temperature threshold value from the ultrahigh temperature to obtain an overtemperature difference; analyzing the excess temperature difference to obtain a temperature influence value corresponding to the excess temperature difference; summing all the temperature influence values to obtain a total influence value; acquiring the electromagnetic intensity of the position of the sensor between the first moment and the current moment, summing all the electromagnetic intensities and averaging to obtain an electromagnetic intensity average value; normalizing the uncorrected difference value, the total influence value and the electromagnetic intensity mean value of the sensor to obtain a calibration value of the sensor, and generating a calibration processing signaling corresponding to the sensor and sending the calibration processing signaling to a calibration processing module when the calibration value of the sensor is greater than a corresponding set threshold of the sensor; the sensor is calibrated and analyzed, so that the accuracy of the acquired data is guaranteed; the situation that the difference between the data collected by the sensor and the actual error is large and the use of a monitoring system is influenced due to untimely adjustment of the sensor is avoided; the adjusting and processing module receives the adjusting and processing signaling and performs adjusting and processing operation to obtain a corresponding adjusting and processing person, and sends the adjusting and processing signaling, the corresponding sensor number and the corresponding position to an intelligent terminal of the adjusting and processing person; after receiving the adjustment processing signaling and the corresponding sensor number and position through the intelligent terminal, an adjustment worker calibrates the sensor; the sensor is calibrated and analyzed so as to ensure the accuracy of the collected data.
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 (8)
1. The utility model provides a monitored control system for intelligence switch based on thing networking which characterized in that includes:
the environment detection module is used for acquiring environment information in the coal mine and sending the environment information to the information summarizing module;
the switch acquisition module is used for acquiring the operation information of the intelligent switch and sending the operation information to the information summarizing module;
the information summarizing module is used for transmitting the environment information, the operation information and the sensor working information to the monitoring end;
the monitoring terminal is used for receiving and storing the environmental information, the operation information and the sensor working information; carrying out early warning analysis on the environment information and the operation information, generating a parameter early warning signaling corresponding to the parameter when any parameter in the environment information and the operation information is not in a preset normal range corresponding to the parameter, sending the parameter early warning signaling to an intelligent switch, and carrying out early warning display at the same time; the parameter early warning signaling is used for triggering the intelligent switch to carry out parameter fault warning and cutting off a corresponding power supply.
2. The monitoring system for the intelligent switch based on the Internet of things is characterized in that the environment detection module comprises a plurality of sensors for acquiring environment information, and the switch acquisition module is installed in an inner cavity arranged inside the intelligent switch and comprises a plurality of sensors for acquiring operation information.
3. The monitoring system for the intelligent switch based on the Internet of things is characterized in that sensor acquisition units are arranged in the environment detection module and the switch acquisition module; the sensor acquisition unit is used for acquiring the sensor working information of the sensors corresponding to the environment detection module and the switch acquisition module and sending the sensor working information to the information summarizing module.
4. The monitoring system for the intelligent switch based on the Internet of things as claimed in claim 1, wherein the monitoring terminal comprises:
the database is used for storing environmental information, operation information and sensor working information;
the input display module is used for accessing and displaying the information stored in the database;
and the early warning monitoring module is used for monitoring and analyzing the environmental information and the operation information, acquiring a preset normal range of parameters corresponding to the environmental information and the operation information, comparing the parameters of the environmental information and the operation information with the preset normal range of the corresponding parameters, generating a parameter early warning signaling corresponding to the parameters when any one of the parameters of the environmental information and the operation information is not in the preset normal range corresponding to the parameters, and sending the parameter early warning signaling to the intelligent switch and the input display module.
5. The monitoring system for the intelligent switch based on the internet of things as claimed in claim 4, wherein the monitoring terminal further comprises:
the calibration analysis module is used for performing calibration analysis on the working information of the sensor to obtain a calibration value corresponding to the sensor, and when the calibration value of the sensor is greater than a corresponding set threshold value of the sensor, a calibration processing signaling corresponding to the sensor is generated and sent to the calibration processing module;
the adjusting and processing module is used for receiving the adjusting and processing signaling, performing adjusting and processing operation to obtain a corresponding adjusting and processing person, and sending the adjusting and processing signaling, the corresponding sensor number and the corresponding position to an intelligent terminal of the adjusting and processing person; and after the calibration personnel receives the calibration processing signaling and the corresponding sensor serial number and position through the intelligent terminal, calibrating the sensor.
6. The monitoring system for the intelligent switch based on the internet of things as claimed in claim 5, wherein the specific process of adjusting and analyzing the working information of the sensor comprises the following steps: acquiring the adjustment time of the sensor closest to the current time, and marking the adjustment time as a first time; if the time is not adjusted, the installation time of the sensor is marked as a first time; carrying out time difference time on the first moment and the current moment to obtain corresponding uncorrected duration; acquiring a time length threshold corresponding to the sensor, and subtracting the time length threshold from the uncorrected time length to obtain an uncorrected difference value;
acquiring all the ambient temperatures of the sensor between the first moment and the current moment, screening the ambient temperatures, and marking the ambient temperatures which are greater than the high-temperature threshold corresponding to the sensor as ultrahigh temperatures; subtracting a high temperature threshold value from the ultrahigh temperature to obtain an overtemperature difference; analyzing the excess temperature difference to obtain a temperature influence value corresponding to the excess temperature difference; summing all the temperature influence values to obtain a total influence value; acquiring the electromagnetic intensity of the position of the sensor between the first moment and the current moment, summing all the electromagnetic intensities and averaging to obtain an electromagnetic intensity average value;
and then normalizing the uncorrected difference value, the influence total value and the electromagnetic intensity mean value of the sensor to obtain the correction value of the sensor.
7. The monitoring system for the intelligent switch based on the internet of things as claimed in claim 5, wherein the tuning processing module performs the tuning processing operation by the specific steps of: acquiring a calibrator of the sensor corresponding to the calibration processing signaling; feeding back an information acquisition instruction to an intelligent terminal of a calibrator to acquire personnel parameters of the calibrator, and processing the personnel parameters to obtain a correction value of the calibrator; the calibrator having the largest calibration value is labeled as the calibrator.
8. The monitoring system for the intelligent switch based on the Internet of things is characterized in that the database comprises an registration unit, a storage distribution unit and a plurality of storage terminals; the registration unit is used for submitting terminal information of the intelligent terminal for registration by a worker and marking the intelligent terminal which is successfully registered as a storage terminal; the storage distribution unit is used for distributing the environment information, the operation information and the sensor working information to the storage end for storage.
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