CN117636590A - Carbon emission early warning system based on Internet of things - Google Patents
Carbon emission early warning system based on Internet of things Download PDFInfo
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- CN117636590A CN117636590A CN202311610994.4A CN202311610994A CN117636590A CN 117636590 A CN117636590 A CN 117636590A CN 202311610994 A CN202311610994 A CN 202311610994A CN 117636590 A CN117636590 A CN 117636590A
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- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 91
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 90
- 238000005265 energy consumption Methods 0.000 claims abstract description 90
- 238000012544 monitoring process Methods 0.000 claims abstract description 39
- 238000004891 communication Methods 0.000 claims abstract description 24
- 238000013500 data storage Methods 0.000 claims abstract description 18
- 230000005611 electricity Effects 0.000 claims description 65
- 239000000779 smoke Substances 0.000 claims description 5
- 238000004806 packaging method and process Methods 0.000 claims description 3
- 230000006855 networking Effects 0.000 claims 1
- 238000000034 method Methods 0.000 abstract description 4
- 230000002354 daily effect Effects 0.000 description 8
- 238000010586 diagram Methods 0.000 description 4
- 230000009970 fire resistant effect Effects 0.000 description 4
- 238000007726 management method Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 150000001721 carbon Chemical class 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000003442 weekly effect Effects 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
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Abstract
The invention discloses a carbon emission early warning system based on the Internet of things, which comprises a plurality of sensors, a communication module, an Internet of things data storage terminal and a carbon monitoring terminal; the sensor is used for acquiring energy consumption data of monitored equipment in a building, then sending the energy consumption data to the data storage terminal of the Internet of things through the communication module, so that after the data storage terminal of the Internet of things forwards the received energy consumption data to the carbon monitoring terminal, the carbon monitoring terminal calculates total carbon emission of all monitored equipment in the power consumption main body of each level according to the power consumption main body of each level to which each monitored equipment belongs and the energy consumption data of each monitored equipment, displays the total carbon emission, and generates early warning information and sends the early warning information to the communication equipment of the power consumption main body of the corresponding level when the carbon emission of any monitored equipment exceeds a threshold value. By implementing the method and the device, the early warning can be sent out when the carbon emission of any monitored equipment exceeds the threshold value, and the excessive emission of the carbon emission can be effectively prevented.
Description
Technical Field
The invention relates to the field of Internet of things, in particular to a carbon emission early warning system based on the Internet of things.
Background
At present, a lot of carbon monitoring systems are available on the market, but the existing carbon monitoring systems can only monitor the total electricity consumption and carbon emission in a park, but when a plurality of electricity utilization main bodies of each level exist in the same building in the park, the carbon emission of monitored equipment in each level electricity utilization main body in the park cannot be accurately monitored, so that when the carbon emission of the monitored equipment exceeds a threshold value, building staff cannot timely adjust the running state of the monitored equipment, so as to reduce the carbon emission of the building, therefore, when a plurality of electricity utilization main bodies of each level exist in the same building in the face of how to monitor the carbon emission of each monitored equipment in each level electricity utilization main body in the building is a problem to be solved.
Disclosure of Invention
The invention provides a carbon emission early warning system based on the Internet of things, which can monitor the carbon emission of each monitored device in a power consumption main body of each level in a building, and send out early warning when the carbon emission of any monitored device exceeds a preset value, so that the early warning system plays a role in warning, and a building worker can timely adjust the working state of the monitored device.
An embodiment of the present invention provides a carbon emission early warning system based on internet of things, including:
the system comprises a plurality of sensors, a communication module, an Internet of things data storage terminal and a carbon monitoring terminal;
each sensor is used for collecting energy consumption data of corresponding monitored equipment in the building and sending the energy consumption data of the monitored equipment to an internet of things data storage terminal through a communication module;
the data storage terminal of the Internet of things is used for forwarding the received energy consumption data to the carbon monitoring terminal;
the carbon monitoring terminal is used for calculating the total carbon emission of all monitored equipment in each hierarchy electricity consumption main body according to each hierarchy electricity consumption main body to which each monitored equipment belongs and the energy consumption data of each monitored equipment, displaying the total carbon emission, generating early warning information when the carbon emission of any monitored equipment exceeds a threshold value, and sending the early warning information to communication equipment of the corresponding hierarchy electricity consumption main body.
Further, the monitored device is an important energy consumption device with rated power larger than a preset threshold value.
Further, each hierarchy power consumption subject to which each monitored device belongs includes: a primary electricity consumption main body and a secondary electricity consumption main body; the primary electricity utilization main body comprises all departments in the building; the secondary electricity utilization body comprises groups of different business fields under the building internal door.
Further, when the early warning information is sent to the communication equipment of the corresponding level electricity utilization main body, the early warning information is sent in the form of a short message and a mail.
Further, the internet of things data storage terminal is further configured to:
classifying the energy consumption data sent by each sensor according to the classification modes of each time, each day, each week, each month and each year according to the energy consumption data sent by each sensor;
packaging the energy consumption per hour, the energy consumption per day, the energy consumption per week, the energy consumption per month, the energy consumption per year and the corresponding identifiers of the monitored equipment, and sending the packaged data package to a carbon monitoring terminal;
the carbon monitoring terminal is further used for displaying the energy consumption per hour, the energy consumption per day, the energy consumption per week, the energy consumption per month, the energy consumption per year and the identifiers corresponding to the monitored equipment.
Further, the energy consumption data of the monitored device includes: three-phase voltage, three-phase current, power, electricity consumption, line temperature, smoke feeling and fault arc of the monitored equipment;
the carbon monitoring terminal is further used for generating early warning information when any one of the energy consumption data exceeds an early warning threshold value;
and sending the early warning information to the communication equipment of the corresponding level power utilization main body in the form of short messages and mails.
Further, the carbon monitoring terminal is further configured to:
judging the working state of the monitored equipment according to the energy consumption data of the monitored equipment;
acquiring and recording the working time length of the monitored equipment according to the working state of the monitored equipment;
and obtaining the daily utilization rate, the month utilization rate and the year utilization rate of the monitored equipment corresponding to the hierarchy power utilization main body according to the working time of the monitored equipment.
Further, according to the energy consumption data of the monitored equipment, judging the working state of the monitored equipment comprises the following steps:
comparing the electricity consumption value in the monitored equipment energy consumption data with a preset range;
if the electricity consumption value in the monitored equipment energy consumption data is within the preset range, the monitored equipment is in a normal working state; otherwise, the monitored equipment is in a preheating or stopping state.
The invention has the following beneficial effects:
according to the method, the energy consumption information of the monitored equipment is obtained by installing the sensors in the building, the electricity consumption data are sent to the data storage terminal of the Internet of things through the remote communication module, so that the data storage terminal of the Internet of things can transmit the energy consumption data to the carbon monitoring terminal after receiving the energy consumption data, the carbon monitoring terminal calculates the carbon emission according to the received energy consumption data, and when the carbon emission of any monitored equipment exceeds a threshold value, early warning signals are generated and sent to the communication equipment of the corresponding level electricity utilization main body, so that staff in the building can timely adjust the working state of the monitored equipment according to the received early warning information, the carbon emission is effectively reduced, in addition, after the total carbon emission of all the monitored equipment in the electricity utilization main body of each level is calculated, the total carbon emission is displayed, so that management staff corresponding to the electricity utilization main body of each level can timely receive the early warning information, the working state of the monitored equipment corresponding to the electricity utilization main body is timely adjusted, and therefore the total carbon emission in the building can be effectively controlled.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a carbon emission early warning system based on internet of things according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an internal structure of a carbon emission early warning system based on the internet of things according to an embodiment of the present invention.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the present application more apparent, the technical solutions in the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description and claims of the present application and in the description of the figures above are intended to cover non-exclusive inclusions.
In the description of the embodiments of the present application, the technical terms "first," "second," etc. are used merely to distinguish between different objects and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated, a particular order or a primary or secondary relationship. In the description of the embodiments of the present application, the meaning of "plurality" is two or more unless explicitly defined otherwise.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
In the description of the embodiments of the present application, the term "and/or" is merely an association relationship describing an association object, which means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
In the description of the embodiments of the present application, the term "plurality" refers to two or more (including two), and similarly, "plural sets" refers to two or more (including two), and "plural sheets" refers to two or more (including two).
In the description of the embodiments of the present application, unless explicitly specified and limited otherwise, the terms "mounted," "connected," "secured" and the like are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally formed; or may be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communicated with the inside of two elements or the interaction relationship of the two elements. The specific meaning of the above terms in the embodiments of the present application will be understood by those of ordinary skill in the art according to the specific circumstances.
Referring to fig. 1, a schematic structural diagram of a carbon emission early warning system based on the internet of things according to an embodiment of the present invention includes: the system comprises a plurality of sensors, a communication module, an Internet of things data storage terminal and a carbon monitoring terminal;
each sensor is used for collecting energy consumption data of corresponding monitored equipment in the building and sending the energy consumption data of the monitored equipment to an internet of things data storage terminal through a communication module;
in a preferred embodiment, the monitored device is a key energy consumption monitored device with rated power greater than a preset threshold value;
schematically, the key energy consumption monitored equipment with rated power larger than a preset threshold value is test monitored equipment with power larger than 200KW and needing long-term startup;
referring to fig. 2, an internal structure diagram of a carbon emission early warning system based on the internet of things according to an embodiment of the present invention is shown;
schematically, after determining the building to be monitored and the key energy consumption equipment to be monitored of the current building, the external mutual inductance electric quantity sensing module and the communication module are arranged under the condition that the original power supply line and the installation of the power supply monitored equipment are not changed, and each monitored equipment is numbered and named, so that the uniqueness of the terminal of the internet of things and the convenience of management are ensured.
In a preferred embodiment, each level of electricity consumption subject to which each monitored device belongs includes: a primary electricity consumption main body and a secondary electricity consumption main body; the primary electricity utilization main body comprises all departments in the building; the secondary electricity utilization main body comprises groups of different service fields under the internal door of the building;
illustratively, aiming at the situation that an electricity main body exists in the same building, the electricity main body is divided into a primary electricity main body and a secondary electricity main body, wherein the primary electricity main body comprises all departments in the building, and the secondary electricity main body comprises all different service field subgroups under the internal door of the building;
it should be noted that the key energy consumption monitored equipment belongs to a primary or secondary electricity main body.
In a preferred embodiment, when the early warning information is sent to the communication equipment of the corresponding level power utilization body, the early warning information is sent in the form of short messages and mails.
In a preferred embodiment, the energy consumption data of the monitored device comprises: three-phase voltage, three-phase current, power, electricity consumption, line temperature, smoke feeling and fault arc of the monitored equipment;
the carbon monitoring terminal is further used for generating early warning information when any one of the energy consumption data exceeds an early warning threshold value;
the early warning information is sent to the communication equipment of the corresponding level power utilization main body in the form of short messages and mails;
schematically, when the three-phase voltage of the monitored equipment reaches an early warning threshold value, early warning information is generated and is notified to the communication equipment of the corresponding level power utilization main body of the monitored equipment in a short message and mail mode through a carbon monitoring terminal, the early warning information is recorded, a safe power utilization emergency plan is started, and a power utilization safe early warning line is positioned in time;
specifically, when the three-phase voltage of the monitored equipment reaches an undervoltage early warning value, early warning information is generated, wherein the undervoltage early warning value is calculated as follows:
supply voltage of 35kV and above: undervoltage warning value= (nominal voltage-nominal voltage 10%) 0.8;
three-phase supply voltage of 10kV and below: undervoltage warning value= (nominal voltage-nominal voltage 7%) 0.8;
220V single-phase supply voltage: undervoltage warning value= (nominal voltage-nominal voltage 10%) 0.8;
in addition, the monitored equipment which possibly fails to generate the early warning prompt in time after the early warning prompt is considered is adjusted, so that an alarm threshold value is additionally arranged on the carbon monitoring equipment, namely, when any monitored equipment exceeds an alarm value, alarm information is generated to further prompt;
specifically, when the three-phase voltage of the monitored equipment reaches an under-voltage alarm value, alarm information is generated, wherein the under-voltage alarm value is calculated as follows:
supply voltage of 35kV and above: undervoltage alarm value = nominal voltage-nominal voltage 10%;
three-phase supply voltage of 10kV and below: undervoltage alarm value = nominal voltage-nominal voltage 7%;
220V single-phase supply voltage: undervoltage alarm value = nominal voltage-nominal voltage 10%;
specifically, when the three-phase voltage of the monitored equipment reaches an overvoltage early warning value, early warning information is generated, wherein the overvoltage early warning value is calculated as follows:
supply voltage of 35kV and above: overvoltage warning value= (nominal voltage + nominal voltage 10%) 0.8;
three-phase supply voltage of 10kV and below: overvoltage warning value= (nominal voltage + nominal voltage 7%) 0.8;
220V single-phase supply voltage: overvoltage warning value= (nominal voltage + nominal voltage 7%) 0.8;
specifically, when the three-phase voltage of the monitored equipment reaches an overvoltage alarm value, alarm information is generated, wherein the overvoltage alarm value is calculated as follows:
supply voltage of 35kV and above: overvoltage alarm value = nominal voltage + nominal voltage 10%;
three-phase supply voltage of 10kV and below: overvoltage alarm value = nominal voltage + nominal voltage 7%;
220V single-phase supply voltage: overvoltage alarm value = nominal voltage + nominal voltage 7%;
schematically, when the three-phase current of the monitored equipment reaches an early warning threshold value, early warning information is generated and is notified to the communication equipment of the corresponding level power utilization main body of the monitored equipment in a short message and mail mode through a carbon monitoring terminal, the early warning information is recorded, a safe power utilization emergency plan is started, and a power utilization safe early warning line is positioned in time;
in addition, the monitored equipment which possibly fails to generate the early warning prompt in time after the early warning prompt is considered is adjusted, so that an alarm threshold value is additionally arranged on the carbon monitoring equipment, namely, when any monitored equipment exceeds an alarm value, alarm information is generated to further prompt;
specifically, when the three-phase current of the monitored equipment reaches a current early warning value, early warning information is generated, wherein the current early warning value is 0.64 times of rated current;
specifically, when the three-phase current of the monitored equipment reaches a current alarm value, alarm information is generated, wherein the current alarm value is 0.8 times of rated current;
specifically, when the three-phase current of the monitored equipment reaches a residual current early warning value, early warning information is generated, wherein the residual current early warning value is 1.6 times of the maximum value of leakage current when the monitored electric circuit and the monitored equipment normally operate;
specifically, when the three-phase current of the monitored equipment reaches a residual current alarm value, alarm information is generated, wherein the residual current alarm value is 2 times of the maximum value of leakage current when the monitored electric circuit and the monitored equipment normally operate;
schematically, when the temperature of the monitored equipment reaches an early warning threshold value, early warning information is generated, the monitored equipment is notified to the communication equipment of the corresponding level power utilization main body in a short message and mail mode through a carbon monitoring terminal, the early warning information is recorded, a safe power utilization emergency plan is started, and a power utilization safe early warning line is positioned in time;
in addition, the monitored equipment which possibly fails to generate the early warning prompt in time after the early warning prompt is considered is adjusted, so that an alarm threshold value is additionally arranged on the carbon monitoring equipment, namely, when any monitored equipment exceeds an alarm value, alarm information is generated to further prompt;
specifically, when the three-phase current of the monitored equipment reaches a temperature early warning value, early warning information is generated, wherein the temperature early warning value is set according to the fire-resistant temperature of the cable, and the alarm value is usually 0.64 times of the fire-resistant temperature;
specifically, when the three-phase current of the monitored equipment reaches a temperature alarm value, alarm information is generated, wherein the temperature alarm value is set according to the fire-resistant temperature of the cable, and is usually 0.8 times of the fire-resistant temperature;
in addition, since the line is in real-time monitoring, an alarm response is immediately given when the arc and smoke of the monitored equipment fail.
In a preferred embodiment, the carbon monitoring terminal is further configured to:
judging the working state of the monitored equipment according to the energy consumption data of the monitored equipment;
acquiring and recording the working time length of the monitored equipment according to the working state of the monitored equipment;
and obtaining the daily utilization rate, the month utilization rate and the year utilization rate of the monitored equipment corresponding to the hierarchy power utilization main body according to the working time of the monitored equipment.
In a preferred embodiment, the determining the working state of the monitored device according to the energy consumption data of the monitored device includes:
comparing the electricity consumption value in the monitored equipment energy consumption data with a preset range;
if the electricity consumption value in the monitored equipment energy consumption data is within the preset range, the monitored equipment is in a normal working state; otherwise, the monitored equipment is in a preheating or stopping state;
schematically, the electricity consumption information collected by the carbon monitoring terminal is compared with the load electricity consumption threshold of the monitored equipment, when the electricity consumption information of the monitored equipment is +/-15% near the load threshold of the monitored equipment, the electricity consumption time period is the normal working state of the monitored equipment, otherwise, the monitored equipment is in a preheating or stopping state,
specifically, assuming that the daily working time length of the monitored equipment is 16 hours, the daily utilization rate, the month utilization rate and the annual utilization rate of the corresponding level electricity utilization main body are calculated by the following steps:
daily utilization rate of monitored equipment = 100% of the sum of normal operating state time of monitored equipment/16 hours;
the monitored equipment month utilization rate=the sum of the monitored equipment day utilization rates in the current month/the number of working days in the current month;
annual availability of monitored equipment = month availability sum/12.
Daily utilization rate of monitored equipment of a certain department in a primary main body=the sum of daily utilization rates of all monitored equipment belonging to the certain department/the sum of the numbers of monitored equipment belonging to the certain department;
the month utilization rate of a certain department of monitored equipment in a primary main body=the sum of the month utilization rates of all monitored equipment affiliated to the certain department/the sum of the number of monitored equipment affiliated to the certain department;
annual utilization rate of monitored equipment of a certain department in a primary main body = sum of annual utilization rates of all monitored equipment affiliated to the certain department/sum of number of monitored equipment affiliated to the certain department.
The data storage terminal of the Internet of things is used for forwarding the received energy consumption data to the carbon monitoring terminal;
in a preferred embodiment, the data storage terminal of the internet of things is further configured to:
classifying the energy consumption data sent by each sensor according to the classification modes of each time, each day, each week, each month and each year according to the energy consumption data sent by each sensor;
packaging the energy consumption per hour, the energy consumption per day, the energy consumption per week, the energy consumption per month, the energy consumption per year and the corresponding identifiers of the monitored equipment, and sending the packaged data package to a carbon monitoring terminal;
the carbon monitoring terminal is further used for displaying the energy consumption at each time, the energy consumption every day, the energy consumption every week, the energy consumption every month, the energy consumption every year and the identifiers corresponding to the monitored equipment;
the data storage terminal of the internet of things processes and gathers and converts the energy consumption data sent by each sensor according to service requirements after receiving the energy consumption data sent by each sensor, namely, the energy consumption data sent by each sensor is classified according to classification modes of each time, each day, each week, each month and each year and then sent to the carbon monitoring terminal;
specifically, the transmitted data packet includes: unique identification of each monitored device, hourly power consumption, daily power consumption, weekly power consumption, monthly power consumption, yearly power consumption; and after receiving the information, the carbon monitoring terminal displays the energy consumption per hour, the energy consumption per day, the energy consumption per week, the energy consumption per month, the energy consumption per year and the identification corresponding to the monitored equipment.
The carbon monitoring terminal is used for calculating the total carbon emission of all monitored equipment in each hierarchy electricity consumption main body according to each hierarchy electricity consumption main body to which each monitored equipment belongs and the energy consumption data of each monitored equipment, displaying the total carbon emission, generating early warning information when the carbon emission of any one monitored equipment exceeds a threshold value, and sending the early warning information to communication equipment of the corresponding hierarchy electricity consumption main body;
illustratively, the total carbon emission of all monitored devices in the electricity consumption main body of each level can be calculated through the energy consumption data corresponding to each monitored device obtained by the carbon monitoring terminal;
illustratively, the energy consumption data of the monitored equipment collected by each sensor comprises three-phase voltage, three-phase current, power, electricity consumption, line temperature, smoke feeling and fault arc of the monitored equipment, and when the carbon emission is calculated, the calculation is only carried out according to the electricity consumption data in the data and a preset carbon emission factor;
the setting of the carbon emission factor is set according to a local electric power management department accounting mode;
specifically, the calculation process of the carbon emission amount is as follows:
the carbon emission amount of each monitored device=the corresponding electricity consumption amount of each monitored device;
the total carbon emission of each department in the primary electricity main body=the sum of the electricity consumption of all monitored equipment in each department in the primary electricity main body;
and the total carbon emission of each department in the secondary electricity main body=the sum of the electricity consumption of all monitored equipment in each department in the secondary electricity main body.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the invention, such changes and modifications are also intended to be within the scope of the invention.
Claims (8)
1. Carbon emission early warning system based on thing networking, characterized by comprising: the system comprises a plurality of sensors, a communication module, an Internet of things data storage terminal and a carbon monitoring terminal;
each sensor is used for collecting energy consumption data of corresponding monitored equipment in the building and sending the energy consumption data of the monitored equipment to an internet of things data storage terminal through a communication module;
the data storage terminal of the Internet of things is used for forwarding the received energy consumption data to the carbon monitoring terminal;
the carbon monitoring terminal is used for calculating the total carbon emission of all monitored equipment in each hierarchy electricity consumption main body according to each hierarchy electricity consumption main body to which each monitored equipment belongs and the energy consumption data of each monitored equipment, displaying the total carbon emission, generating early warning information when the carbon emission of any monitored equipment exceeds a threshold value, and sending the early warning information to communication equipment of the corresponding hierarchy electricity consumption main body.
2. The carbon emission early warning system based on the internet of things according to claim 1, wherein the monitored equipment is key energy consumption equipment with rated power larger than a preset threshold value.
3. The carbon emission early warning system based on the internet of things according to claim 1, wherein each level of electricity consumption subject to which each monitored device belongs comprises: a primary electricity consumption main body and a secondary electricity consumption main body; the primary electricity utilization main body comprises all departments in the building; the secondary electricity utilization body comprises groups of different business fields under the building internal door.
4. The carbon emission early warning system based on the internet of things according to claim 1, wherein when the early warning information is transmitted to the communication equipment of the corresponding level power application main body, the early warning information is transmitted in the form of a short message and a mail.
5. The internet of things-based carbon emission early warning system of claim 1, wherein the internet of things data storage terminal is further configured to:
classifying the energy consumption data sent by each sensor according to the classification modes of each time, each day, each week, each month and each year according to the energy consumption data sent by each sensor;
packaging the energy consumption per hour, the energy consumption per day, the energy consumption per week, the energy consumption per month, the energy consumption per year and the corresponding identifiers of the monitored equipment, and sending the packaged data package to a carbon monitoring terminal;
the carbon monitoring terminal is further used for displaying the energy consumption per hour, the energy consumption per day, the energy consumption per week, the energy consumption per month, the energy consumption per year and the identifiers corresponding to the monitored equipment.
6. The internet of things-based carbon emission pre-warning system of claim 1, wherein the monitored device's energy consumption data comprises: three-phase voltage, three-phase current, power, electricity consumption, line temperature, smoke feeling and fault arc of the monitored equipment;
the carbon monitoring terminal is further used for generating early warning information when any one of the energy consumption data exceeds an early warning threshold value;
and sending the early warning information to the communication equipment of the corresponding level power utilization main body in the form of short messages and mails.
7. The internet of things-based carbon emission pre-warning system of claim 6, wherein the carbon monitoring terminal is further configured to:
judging the working state of the monitored equipment according to the energy consumption data of the monitored equipment;
acquiring and recording the working time length of the monitored equipment according to the working state of the monitored equipment;
and obtaining the daily utilization rate, the month utilization rate and the year utilization rate of the monitored equipment corresponding to the hierarchy power utilization main body according to the working time of the monitored equipment.
8. The carbon emission early warning system based on the internet of things according to claim 6, wherein the judging the working state of the monitored equipment according to the energy consumption data of the monitored equipment comprises:
comparing the electricity consumption value in the monitored equipment energy consumption data with a preset range;
if the electricity consumption value in the monitored equipment energy consumption data is within the preset range, the monitored equipment is in a normal working state; otherwise, the monitored equipment is in a preheating or stopping state.
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