CN115903537B - Enterprise energy monitoring and analyzing system based on Internet - Google Patents
Enterprise energy monitoring and analyzing system based on Internet Download PDFInfo
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- CN115903537B CN115903537B CN202310032092.0A CN202310032092A CN115903537B CN 115903537 B CN115903537 B CN 115903537B CN 202310032092 A CN202310032092 A CN 202310032092A CN 115903537 B CN115903537 B CN 115903537B
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Abstract
The invention discloses an enterprise energy monitoring and analyzing system based on the Internet, which aims to solve the problem that the electric energy waste of an enterprise industrial area is increased when the cooling equipment of the existing enterprise industrial area continuously operates; comprises an energy collection module; according to the invention, the operation states of the workshop production equipment heating elements are dynamically monitored by establishing a dynamic coordinate system with the operation temperatures and the operation time of the workshop production equipment heating elements, and corresponding cooling grades are formulated according to different operation states of the workshop production equipment heating elements, so that the effect of saving electric energy resources is achieved, meanwhile, when the workshop production equipment heating elements are in overload operation, three-stage cooling is directly carried out, and when the cooling equipment cannot reduce the temperature of the workshop production equipment heating elements, the cooling equipment is directly stopped, so that the workshop production equipment heating elements are prevented from being overloaded for a long time to cause burning or damage of the production equipment.
Description
Technical Field
The invention relates to the technical field of enterprise energy monitoring and analysis, in particular to an enterprise energy monitoring and analysis system based on the Internet.
Background
At present, most enterprises only work the workshop production equipment heating element of the enterprise industrial area in the operation process, and the cooling equipment is always in a working state, so that the electric energy consumption of the enterprises is greatly increased, meanwhile, the living area of the enterprises is not provided with an energy monitoring and analyzing system, and the electric energy resource waste is serious.
Disclosure of Invention
The invention aims to solve the problem that the existing cooling equipment in an enterprise industrial area continuously operates to increase the electric power energy waste in the enterprise industrial area, and provides an enterprise energy monitoring and analyzing system based on the Internet.
The aim of the invention can be achieved by the following technical scheme: an internet-based enterprise energy monitoring and analysis system, comprising:
the energy collection module is used for collecting industrial data information of an enterprise industrial area and life data information of an enterprise life area, sending the industrial data information and the life data information of the enterprise life area to the cloud server through the Internet, and receiving and storing the data information by the cloud server; the industrial data information comprises the operating temperature of heating elements of workshop production equipment and the cooling grade of cooling equipment, wherein the cooling grade is divided into three grades of primary cooling, secondary cooling and tertiary cooling.
The remote monitoring terminal is used for retrieving the industrial data information stored in the cloud server and analyzing the industrial data information, and comprises the following specific steps:
capturing workshop production equipment heating elements in one period of time in real time, taking time as an abscissa, taking temperature as an ordinate, establishing an element operation temperature dynamic coordinate system, and analyzing element operation temperature conditions in a period of time; setting a first reference line, a second reference line and a third reference line, and substituting the operating temperature and the operating time into an element operating temperature dynamic coordinate system respectively;
s1: when the operating temperature is between the first reference line and the second reference line, calibrating the operating temperature at the corresponding operating time point to be an economic temperature; at this time, a standby instruction is generated, and the cooling device enters a standby state;
s2: when the operation temperature is between the second reference line and the third reference line, calibrating the operation temperature at the corresponding operation time point as the overload temperature; generating a cooling instruction at the moment, and enabling cooling equipment to enter an operating state; n operation temperatures in a period of time are periodically read, two adjacent operation temperatures are connected, the slope of each section of connection is calculated, and marked as Km (i), wherein i is the number of slopes of the connection, the average value of N-1 slopes is calculated to obtain a slope average value Kp, a first slope reference value T1, a second slope reference value T2, a third slope reference value T3 and a fourth slope reference value T4 of the slope average value are set, if the slope average value is located between T1 and T2, a first-stage cooling instruction is generated, and the first-stage cooling instruction controls cooling equipment to execute first-stage cooling operation; if the slope average value is between T2 and T3, generating a secondary cooling instruction, wherein the secondary cooling instruction controls the cooling equipment to execute a secondary cooling operation; if the slope average value is between T3 and T4, generating a three-stage cooling instruction, wherein the three-stage cooling instruction controls the cooling equipment to execute three-stage cooling operation;
s3: when the operation temperature exceeds the third reference line, three-stage cooling operation is directly executed, X operation temperatures in a period of time are read, the two adjacent operation temperatures are connected and marked as Kf (d), wherein d is the number of slopes of the connection, X-1 slopes are calculated, difference analysis is carried out on the two slopes of the adjacent connection, the slope of the previous line of the adjacent connection is marked as K1, the slope of the next line of the adjacent connection is marked as K2, the slope difference KC is obtained according to the formula KC=K2-K1, summation analysis is carried out on the X-2 slope differences to obtain a slope difference total value, and when the slope difference total value is positive, a shutdown command is generated and the workshop production equipment heating element is controlled to enter a shutdown state.
As a preferred implementation mode of the invention, the remote monitoring terminal also comprises an analysis module and an execution module;
the indoor current power consumption data and the indoor temperature are respectively analyzed, and the method specifically comprises the following steps:
comparing the power consumption data with a standby energy consumption threshold, if the current power consumption data is higher than the standby energy consumption threshold, calling the resident information in the current time period, judging whether the resident exists in the current indoor time according to the resident information, if the resident information shows that the resident does not exist in the current indoor time, sending a judging signaling to a remote monitoring terminal, sending an inquiry prompt message to an intelligent terminal of the resident by the remote monitoring terminal, and receiving an inquiry result fed back by the resident through the intelligent terminal, wherein the inquiry result is indoor or not indoor;
when the query result is that the vehicle is not in the room, generating a power-off instruction and sending the power-off instruction to the execution module; and after receiving the power-off instruction, the execution module controls the corresponding common electric equipment to power off.
As a preferred embodiment of the present invention, the specific steps of the execution module for performing the power-off process are:
SS1: directly carrying out power-off treatment on common electric equipment; the common electric equipment comprises an indoor illuminating lamp, a television and computer equipment;
SS2: analyzing indoor preset electric equipment; the indoor preset electric equipment comprises a refrigerator and a water heater; analyzing food storage information in the refrigerator, and if no food exists in the refrigerator at present, directly powering off the refrigerator by an execution module; if food exists in the current refrigerator, shooting the food and transmitting shot picture information to a remote monitoring terminal, and comparing the shot food pictures with a preset picture library by the remote monitoring terminal to obtain classification of the food; if the food is classified as meat products or products which are easy to be degraded at normal temperature, the power-off instruction is not executed; if the food in the refrigerator is classified as a product which is not easy to deteriorate and has a long storage time in a normal temperature environment, the power-off instruction is executed.
As a preferred embodiment of the invention, the implementation steps of the execution module for the water heater are as follows:
SSS1: analyzing the total water consumption of the water heater in one week, calculating the average value of the water consumption of each time of use of the households to obtain the daily average water consumption of the households, and setting the daily average water consumption as the daily preset water consumption of the water heater; if the water storage capacity of the water heater is smaller than the daily preset water consumption, the execution module controls the valve body of the water heater to supplement water until the water storage capacity of the water heater is matched within the set range of the daily preset water consumption, and at the moment, the execution module closes the valve body;
SSS2: the method comprises the steps of calling a resident working time period and dividing the resident working time period into a standby time period and a heating time period, wherein the heating time period is the previous hour of a resident leisure time period, and when the water heater is in the standby time period, an execution module executes power-off processing on the water heater; when the water heater is in the heating time period, the execution module executes a heating instruction on the water heater, and the specific process is as follows: the execution module receives the water temperature value in the water heater, converts the water temperature value into a heating time required when the water temperature value in the water heater reaches a preset temperature value according to a certain proportion, controls the water heater to start heating, enables the water temperature value in the water heater to be matched with the range of the preset temperature value, reduces the power of the water heater when the water temperature value in the water heater reaches the preset temperature value, maintains the water temperature value in the water heater to float in the range of the preset temperature value, and controls the water heater to heat again if the water temperature value of the water heater is lower than the floating range of the preset temperature value, and reduces the power of the water heater again after the water temperature value in the water heater reaches the floating range of the preset temperature value; after the heat Shui Qidi reaches the set temperature value once, setting the temperature maintaining time period as a heat preserving time period, and if the heat preserving time period is more than three hours, directly powering off the water heater by the execution module;
SSS3: the method comprises the steps of calling a resident leisure time period, and simultaneously, directly powering off the water heater by an execution module when the water heater is in a non-water use time period for the water heater in the resident leisure time period within a week; when the water heater is in a water consumption time period, a water consumption inquiry request is sent to an intelligent terminal of a resident, and when an inquiry request result fed back by the resident is received within a preset time range, if the inquiry request result is that water is not used, the water heater is controlled to execute power-off processing; if the query request result is water consumption time and water consumption time, calculating the time difference between the current time and the water consumption time to obtain standby time, and obtaining a preset time threshold required by the water heater to be heated to the preset temperature of the resident; comparing the standby time length with a preset time length threshold, and calculating a time length difference value between the standby time length and the preset time length threshold when the standby time length is longer than the preset time length threshold to obtain the power-off time length;
acquiring the electric quantity required by the water heater to be heated to the preset temperature of a resident and to be kept warm until the water consumption moment, and marking the electric quantity as Q1; then, calculating the electric quantity required by the water heater to heat to the preset temperature of the resident, and marking the electric quantity as Q2;
when Q2 is less than Q1, controlling the water heater to execute power-off processing, and controlling the water heater to execute power-on and heat to a preset temperature of a resident when the difference value between the current moment and the water consumption moment is equal to a preset duration threshold value; if not, the power-off operation is not performed;
when the inquiry request result fed back by the resident is not received within the preset time range, directly controlling the water heater to perform power-off operation;
when the inquiry result is in the room, the number of persons in the current time period and the indoor temperature are called, the indoor temperature is compared with the preset residence temperature, and when the indoor temperature is higher than the preset residence temperature, a temperature reducing instruction is generated and sent to the execution module; when the indoor temperature is smaller than the preset residence temperature, generating a temperature increasing instruction and sending the temperature increasing instruction to the execution module; and the execution module receives and processes the power-off instruction, the temperature reduction instruction and the temperature increase instruction.
As a preferred embodiment of the present invention, the public activity area of each floor is divided into a plurality of activity areas, the number of people in each activity area is collected, and an activity determination signal is generated, specifically comprising the steps of:
SSSS1: dividing public activity areas of all floors into a plurality of activity areas, collecting the number of people in each activity area, and generating a first positive signal if the number of people is greater than 0; if the number of people is equal to 0, generating a second negative signal;
SSSS2: comparing the illumination value of the floor lighting at the current time point with a preset illumination value, and generating a second negative signal when the illumination value of the floor lighting is larger than the preset illumination value; when the illumination value of floor lighting is smaller than or equal to a preset illumination value, generating a second positive signal;
SSSS3: if the first positive signal and the second positive signal are generated at the same time, an electrifying signaling is generated, a floor lighting illumination value and a preset illumination value at a corresponding time point are obtained according to the electrifying signaling, differential analysis is carried out on the floor lighting illumination value and the preset illumination value to obtain an illumination difference value, the illumination of a corresponding movable area is increased by a P illumination value according to the illumination difference value, the absolute value of the P illumination value is equal to the absolute value of the illumination difference value, and the illumination compensation illumination of each illumination lamp of the movable area is calculated.
As a preferred embodiment of the present invention, the remote detection terminal further includes an energy saving module, where the energy saving module is configured to receive the scheme instruction sent by the analysis module and send the scheme instruction to the remote detection terminal, and the remote detection terminal sends the operation instruction to the execution module, and at the same time, the energy saving module stores the corresponding scheme in the cloud server.
As a preferred embodiment of the present invention, the cloud server is configured to receive and store industrial data information and life data information; and a classification management unit is also arranged in the cloud server and is used for carrying out classification management on the industrial data information and the life data information.
As a preferred embodiment of the present invention, the specific process of the classification management unit performing classification management is:
setting a plurality of classification categories, wherein each classification category corresponds to a plurality of subjects; such as the subjects including the operating temperature, the cooling grade, the water consumption of the water heater each time, the total water consumption in a week, the power consumption degree, etc.; matching the industrial data information and the life data information with all subjects, classifying the industrial data information and the life data information into corresponding classification categories when the industrial data information and the life data information belong to the corresponding subjects, and presetting that each classification category corresponds to a preset storage duration;
and counting the initial time when the industrial data information and the life data information are correspondingly stored in the cloud server. And calculating the time difference between the initial time and the current time to obtain the stored time, and deleting the industrial data information and the life data information when the stored time is equal to the preset storage time.
As a preferred embodiment of the present invention, the cloud server further includes an encryption unit, where the encryption unit is configured to encrypt industrial data information and life data information of a preset subject.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the operation states of the workshop production equipment heating elements are dynamically monitored by establishing a dynamic coordinate system with the operation temperatures and the operation time of the workshop production equipment heating elements, and corresponding cooling grades are formulated according to different operation states of the workshop production equipment heating elements, so that the effect of saving electric energy resources is achieved, meanwhile, when the workshop production equipment heating elements are in overload operation, three-stage cooling is directly carried out, and when the cooling equipment cannot reduce the temperature of the workshop production equipment heating elements, the cooling equipment is directly stopped, so that the workshop production equipment heating elements are prevented from being overloaded for a long time to cause burning or damage of the production equipment.
2. According to the invention, through monitoring the power consumption of the living area of an enterprise in real time, when no personnel are moving in a room, the electric equipment in the room is analyzed, the electric equipment which does not need to work is turned off in time, the loss of the power energy is reduced, meanwhile, the illumination of the floor illuminating lamp is automatically adjusted according to the illumination intensity of the outside, the illuminating lamp is prevented from continuously working under the condition of no personnel movement, and meanwhile, the illuminating lamp is prevented from continuously working with a certain illumination, so that the energy-saving effect is achieved.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a functional block diagram of the present invention.
FIG. 2 is a block diagram of a remote monitoring terminal of the present invention;
FIG. 3 is a block flow diagram of a power down instruction of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, an enterprise energy monitoring and analyzing system based on the internet includes an energy collecting module, a cloud server and a remote monitoring terminal;
the energy collection module collects industrial data information of an enterprise industrial area and life data information of an enterprise life area, and sends the industrial data information and the life data information of the enterprise life area to the cloud server through the Internet, and the cloud server receives and stores the data information; the industrial data information comprises the operating temperature of heating elements of workshop production equipment and the cooling grade of cooling equipment, wherein the cooling grade is divided into three grades of primary cooling, secondary cooling and tertiary cooling.
The remote monitoring terminal is used for calling the industrial data information and analyzing the industrial data information, and specifically comprises the following steps:
capturing workshop production equipment heating elements in one period of time in real time, taking time as an abscissa, taking temperature as an ordinate, establishing an element operation temperature dynamic coordinate system, and analyzing element operation temperature conditions in a period of time; setting a first reference line, a second reference line and a third reference line, and substituting the operating temperature and the operating time into an element operating temperature dynamic coordinate system respectively;
s1: when the operating temperature is between the first reference line and the second reference line, calibrating the operating temperature at the corresponding operating time point to be an economic temperature; at this time, a standby instruction is generated, and the cooling device enters a standby state;
s2: when the operation temperature is between the second reference line and the third reference line, calibrating the operation temperature at the corresponding operation time point as the overload temperature; generating a cooling instruction at the moment, and enabling cooling equipment to enter an operating state; n operating temperatures within a period of time are periodically read, two adjacent operating temperatures are connected, the slope of each connecting line is calculated, and the slope is marked as Km (i), wherein i is the number of the slopes of the connecting lines, and the slope is calculated according to a formula
Calculating the average value of N-1 slopes to obtain a slope average value Kp, setting a first slope reference value T1, a second slope reference value T2, a third slope reference value T3 and a fourth slope reference value T4 of the slope average value, and if the slope average value is positioned between T1 and T2, generating a primary cooling instruction, wherein the primary cooling instruction controls cooling equipment to execute primary cooling operation; if the slope average value is between T2 and T3, generating a secondary cooling instruction, wherein the secondary cooling instruction controls the cooling equipment to execute a secondary cooling operation; if the slope average value is between T3 and T4, generating a three-stage cooling instruction, wherein the three-stage cooling instruction controls the cooling equipment to execute three-stage cooling operationThe method comprises the steps of carrying out a first treatment on the surface of the After the cooling operation is executed for a certain time, L running temperatures are read, slopes are calculated through a connecting line, the average value of the cooled running temperature slopes is analyzed, and corresponding cooling grades are executed according to the analysis result, so that cooling equipment is prevented from continuously running at a certain frequency, and the effect of saving electric power resources is achieved; the specific processes of the primary cooling operation, the primary cooling operation and the primary cooling operation are as follows:
the specific process of the primary cooling operation is as follows: cooling the heating element of the workshop production equipment through cooling equipment; wherein the cooling speed of the cooling device is a preset speed I, and the cooling device comprises a radiator;
the specific process of the secondary cooling operation is as follows: cooling the heating element of the workshop production equipment through cooling equipment; the cooling speed of the cooling equipment is a preset speed II; the cooling device comprises two heat sinks;
the specific process of the three-stage cooling operation is as follows: cooling the heating element of the workshop production equipment through cooling equipment; wherein the cooling speed of the cooling device is a preset speed III; the cooling apparatus includes a plurality of heat sinks;
the preset speed is one < the preset speed is two < the preset speed is three, and corresponding cooling grades are executed according to different running temperatures, so that the aim of saving energy is fulfilled;
s3: when the operation temperature exceeds the third reference line, the three-stage cooling operation is directly executed, X operation temperatures within a period of time are read after a certain period of time, two adjacent operation temperatures are connected and marked as Kf (d), and the operation temperatures are marked as Kf (d) according to the formula
Wherein d is the number of slopes of the connecting lines, and calculates X-1 slopes, performs difference analysis on two slopes of adjacent connecting lines, marks the slope of the previous line segment of the adjacent connecting lines as K1, marks the slope of the next line segment of the adjacent connecting lines as K2, obtains a slope difference KC according to a formula KC=K2-K1, performs summation analysis on the X-2 slope differences to obtain a slope difference total value, generates a shutdown instruction when the slope difference total value is positive, and controls workshop production equipment heating elements to enterAnd when the device enters a shutdown state, the heating element of workshop production equipment is prevented from running in an overload way for a long time, and equipment is prevented from being damaged by burning while the consumption of power resources is increased.
Referring to fig. 2-3, the remote monitoring terminal further includes an analysis module and an execution module;
the analysis module is used for carrying out analysis operation on life data information, wherein the life data information comprises power consumption data, indoor temperature data, lighting brightness data of a public activity area of each floor and indoor electric equipment data in each room unit time of each floor; the indoor electric equipment data comprise food storage information in the refrigerator, water consumption of the water heater each time, total water consumption in a week, water consumption time period of the water heater in a resident leisure time period in a week, resident working time period and resident leisure time period, wherein the electric power energy consumption data are power consumption degrees, and the specific analysis operation steps are as follows:
comparing the power consumption data with a standby energy consumption threshold, if the current power consumption data is higher than the standby energy consumption threshold, calling the resident information in the current time period, judging whether the resident exists in the current indoor time according to the resident information, if the resident information shows that the resident does not exist in the current indoor time, sending a judging signaling to a remote monitoring terminal, sending an inquiry prompt message to an intelligent terminal of the resident by the remote monitoring terminal, and receiving an inquiry result fed back by the resident through the intelligent terminal, wherein the inquiry result is indoor or not indoor;
when the query result is that the vehicle is not in the room, generating a power-off instruction and sending the power-off instruction to the execution module; and after receiving the power-off instruction, the execution module controls the corresponding common electric equipment to perform power-off treatment.
The specific steps of the execution module for carrying out the power-off processing are as follows:
SS1: directly carrying out power-off treatment on common electric equipment; the common electric equipment comprises an indoor illuminating lamp, a television and computer equipment;
SS2: analyzing indoor preset electric equipment; the indoor preset electric equipment comprises a refrigerator and a water heater; analyzing food storage information in the refrigerator, and if no food exists in the refrigerator at present, directly powering off the refrigerator by an execution module; if food exists in the current refrigerator, shooting the food and transmitting shot picture information to a remote monitoring terminal, and comparing the shot food pictures with a preset picture library by the remote monitoring terminal to obtain classification of the food; if the food is classified as meat products or products which are easy to be degraded at normal temperature, the power-off instruction is not executed; if the food in the refrigerator is classified as a product which is not easy to deteriorate and has a long storage time in a normal temperature environment, the power-off instruction is executed.
The specific implementation steps of the execution module for the water heater are as follows:
SSS1: analyzing the total water consumption of the water heater in one week, calculating the average value of the water consumption of each time of use of the households to obtain the daily average water consumption of the households, and setting the daily average water consumption as the daily preset water consumption of the water heater; if the water storage capacity of the water heater is smaller than the daily preset water consumption, the execution module controls the valve body of the water heater to supplement water until the water storage capacity of the water heater is matched within the set range of the daily preset water consumption, and at the moment, the execution module closes the valve body;
SSS2: the method comprises the steps of calling a resident working time period and dividing the resident working time period into a standby time period and a heating time period, wherein the heating time period is the previous hour of a resident leisure time period, and when the water heater is in the standby time period, an execution module executes power-off processing on the water heater; when the water heater is in the heating time period, the execution module executes a heating instruction on the water heater, and the specific process is as follows: the execution module receives the water temperature value in the water heater, converts the water temperature value into a heating time required when the water temperature value in the water heater reaches a preset temperature value according to a certain proportion, controls the water heater to start heating, enables the water temperature value in the water heater to be matched with the range of the preset temperature value, reduces the power of the water heater when the water temperature value in the water heater reaches the preset temperature value, maintains the water temperature value in the water heater to float in the range of the preset temperature value, and controls the water heater to heat again if the water temperature value of the water heater is lower than the floating range of the preset temperature value, and reduces the power of the water heater again after the water temperature value in the water heater reaches the floating range of the preset temperature value; after the heat Shui Qidi reaches the set temperature value once, setting the temperature maintaining time period as a heat preserving time period, and if the heat preserving time period is more than three hours, directly powering off the water heater by the execution module;
SSS3: the method comprises the steps of calling a resident leisure time period, and simultaneously, directly powering off the water heater by an execution module when the water heater is in a non-water use time period for the water heater in the resident leisure time period within a week; when the water heater is in a water consumption time period, a water consumption inquiry request is sent to an intelligent terminal of a resident, and when an inquiry request result fed back by the resident is received within a preset time range, if the inquiry request result is that water is not used, the water heater is controlled to execute power-off processing; if the query request result is water consumption time and water consumption time, calculating the time difference between the current time and the water consumption time to obtain standby time, and obtaining a preset time threshold required by the water heater to be heated to the preset temperature of the resident; comparing the standby time length with a preset time length threshold, and calculating a time length difference value between the standby time length and the preset time length threshold when the standby time length is longer than the preset time length threshold to obtain the power-off time length;
acquiring the electric quantity required by the water heater to be heated to the preset temperature of a resident and to be kept warm until the water consumption moment, and marking the electric quantity as Q1; then, calculating the electric quantity required by the water heater to heat to the preset temperature of the resident, and marking the electric quantity as Q2;
when Q2 is less than Q1, controlling the water heater to execute power-off processing, and controlling the water heater to execute power-on and heat to a preset temperature of a resident when the difference value between the current moment and the water consumption moment is equal to a preset duration threshold value; if not, the power-off operation is not performed;
and when the inquiry request result fed back by the resident is not received within the preset time range, directly controlling the water heater to perform power-off operation.
When the inquiry result is in the room, the number of persons in the current time period and the indoor temperature are called, the indoor temperature is compared with the preset residence temperature, and when the indoor temperature is higher than the preset residence temperature, a temperature reducing instruction is generated and sent to the execution module; when the indoor temperature is smaller than the preset residence temperature, generating a temperature increasing instruction and sending the temperature increasing instruction to the execution module; the execution module receives and processes the power-off instruction, the temperature reducing instruction and the temperature increasing instruction, and when the power-off instruction is received, the indoor air conditioner is controlled to power off; when a temperature reducing instruction is received, controlling the indoor air conditioner to reduce the temperature so that the indoor temperature of the indoor air conditioner is equal to the preset residence temperature; when a temperature increasing instruction is received, the indoor air conditioner is controlled to increase the temperature, so that the indoor temperature of the indoor air conditioner is equal to the preset residence temperature.
Dividing public activity areas of all floors into a plurality of activity areas, collecting the number of people in each activity area and generating activity judgment signals, wherein the specific steps are as follows:
SSSS1: dividing public activity areas of all floors into a plurality of activity areas, collecting the number of people in each activity area, and generating a first positive signal if the number of people is greater than 0; if the number of people is equal to 0, generating a second negative signal;
SSSS2: comparing the illumination value of the floor lighting at the current time point with a preset illumination value, and generating a second negative signal when the illumination value of the floor lighting is larger than the preset illumination value; when the illumination value of floor lighting is smaller than or equal to a preset illumination value, generating a second positive signal;
SSSS3: if the first positive signal and the second positive signal are generated at the same time, an electrifying signaling is generated, a floor lighting illumination value and a preset illumination value at a corresponding time point are obtained according to the electrifying signaling, differential analysis is carried out on the floor lighting illumination value and the preset illumination value to obtain an illumination difference value, the illumination of a corresponding active area is increased by a P illumination value according to the illumination difference value, the absolute value of the P illumination value is equal to the absolute value of the illumination difference value, and the illumination compensation illumination Hgu of each illumination lamp is calculated according to a formula, wherein S is the number of illumination lamps in the corresponding active area.
The cloud server also comprises a classification management unit and an encryption unit;
the classification management unit performs classification management on the industrial data information and the life data information, and sets a plurality of classification categories, wherein each classification category corresponds to a plurality of subjects; such as the subjects including the operating temperature, the cooling grade, the water consumption of the water heater each time, the total water consumption in a week, the power consumption degree, etc.; matching the industrial data information and the life data information with all subjects, classifying the industrial data information and the life data information into corresponding classification categories when the industrial data information and the life data information belong to the corresponding subjects, and presetting that each classification category corresponds to a preset storage duration;
and counting the initial time when the industrial data information and the life data information are correspondingly stored in the cloud server. And calculating the time difference between the initial time and the current time to obtain the stored time, and deleting the industrial data information and the life data information when the stored time is equal to the preset storage time.
The encryption unit encrypts industrial data information and life data information of preset subjects, and adopts a key algorithm, wherein the encryption comprises DES (DataEncryption Standard), 3DES (TripleDES), RC2, RC4, IDEA (InternationalData Encryption Algorithm), RSA, DSA (DigitalSignature Algorithm), AES (AdvancedEncryption Standard), BLOWFISHElGamal, deffie-Hellman, a novel elliptic curve algorithm ECC and the like.
When the intelligent control system is used, the analysis module establishes a dynamic coordinate system for the operation temperature and the operation time of the workshop production equipment heating element in an enterprise industrial area, dynamically monitors the operation state of the workshop production equipment heating element, formulates a corresponding cooling grade according to different operation states of the workshop production equipment heating element, achieves the effect of saving electric energy resources, directly carries out three-stage cooling on the workshop production equipment heating element when the workshop production equipment heating element is in excessive operation, directly stops the workshop production equipment heating element when the cooling equipment cannot reduce the temperature of the workshop production equipment heating element, prevents the workshop production equipment heating element from being in overload operation for a long time, causes burning or damage of the production equipment, carries out real-time monitoring analysis on electric energy consumption data of the enterprise living area, timely closes common electric equipment under the condition of no people indoors, monitors the power consumption of the refrigerator and the water heater independently, intelligently controls the power consumption of the refrigerator and the water heater, simultaneously adjusts the brightness of the illuminating lamp according to the lighting of the movable area and the quantity of people, and carries out power-off treatment in time under the condition of good lighting condition and no people, and reduces the loss of the electric power resources.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the 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 present disclosure 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 present disclosure and claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations;
the preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (11)
1. An internet-based enterprise energy monitoring and analysis system, comprising:
the energy collection module is used for collecting industrial data information of an enterprise industrial area and life data information of an enterprise life area and sending the industrial data information and the life data information to the cloud server through the Internet;
the remote monitoring terminal is used for retrieving the industrial data information stored in the cloud server and analyzing the industrial data information, and comprises the following specific steps:
capturing the running temperature of the heating element of workshop production equipment in real time, taking time as an abscissa, taking temperature as an ordinate, establishing an element running temperature dynamic coordinate system, and analyzing the element running temperature condition in a period of time; setting a first reference line, a second reference line and a third reference line, and substituting the operating temperature and the operating time into an element operating temperature dynamic coordinate system respectively;
s1: when the operating temperature is between the first reference line and the second reference line, calibrating the operating temperature at the corresponding operating time point to be an economic temperature; at this time, a standby instruction is generated, and the cooling device enters a standby state;
s2: when the operation temperature is between the second reference line and the third reference line, calibrating the operation temperature at the corresponding operation time point as the overload temperature; generating a cooling instruction at the moment, and enabling cooling equipment to enter an operating state; n operation temperatures in a period of time are regularly read, two adjacent operation temperatures are connected, the slope of each section of connection is calculated, the average value of N-1 slopes is calculated, the slope average value is obtained, a first slope reference value T1, a second slope reference value T2, a third slope reference value T3 and a fourth slope reference value T4 of the slope average value are set, if the slope average value is located between the T1 and the T2, a primary cooling instruction is generated, and the primary cooling instruction controls cooling equipment to execute primary cooling operation; if the slope average value is between T2 and T3, generating a secondary cooling instruction, wherein the secondary cooling instruction controls the cooling equipment to execute a secondary cooling operation; if the slope average value is between T3 and T4, generating a three-stage cooling instruction, wherein the three-stage cooling instruction controls the cooling equipment to execute three-stage cooling operation;
s3: when the operation temperature exceeds the third reference line, three-stage cooling operation is directly executed, X operation temperatures in a period of time are read after a certain period of time, two adjacent operation temperatures are connected, X-1 slopes are calculated, difference analysis is carried out on the two slopes of the adjacent connection lines, difference analysis is carried out on the slope of the front line segment of the adjacent connection lines and the slope of the rear line segment of the adjacent connection lines to obtain slope differences, summation analysis is carried out on the X-2 slope differences to obtain a slope difference total value, when the slope difference total value is positive value, a shutdown instruction is generated, and a workshop production equipment heating element is controlled to enter a shutdown state.
2. The internet-based enterprise energy monitoring and analysis system of claim 1, wherein the remote monitoring terminal further comprises an analysis module and an execution module;
the analysis module is used for carrying out analysis operation on the life data information, and the specific analysis operation steps are as follows:
comparing the power consumption data with a standby energy consumption threshold, if the current power consumption data is higher than the standby energy consumption threshold, calling the living information of a resident in the current time period, judging whether the resident exists in the current indoor time according to the living information of the resident login, if the living information shows that the resident does not exist in the current indoor time, sending a judging signaling to a remote monitoring terminal, sending an inquiry prompt message to an intelligent terminal of the resident by the remote monitoring terminal, and receiving an inquiry result fed back by the resident through the intelligent terminal;
and when the inquiry result is that the vehicle is not in a room, generating a power-off instruction and sending the power-off instruction to the execution module.
3. The internet-based enterprise energy monitoring and analysis system of claim 2, wherein the specific steps of the execution module for power down processing are:
SS1: directly carrying out power-off treatment on common electric equipment;
SS2: analyzing indoor preset electric equipment; analyzing food storage information in the refrigerator, and if no food exists in the refrigerator at present, directly powering off the refrigerator by an execution module; if food exists in the current refrigerator, classifying the food, and if the food is classified as meat products or easily-degraded products at normal temperature, not executing a power-off instruction; if the food in the refrigerator is classified as a product which is not easy to deteriorate and has a long storage time in a normal temperature environment, the power-off instruction is executed.
4. The internet-based enterprise energy monitoring and analysis system of claim 2, wherein the implementation steps of the execution module for the water heater are as follows:
SSS1: analyzing the total water consumption of the water heater in one week, calculating the average value of the water consumption of each time of use of the households to obtain the daily average water consumption of the households, and setting the daily average water consumption as the daily preset water consumption of the water heater; if the water storage capacity of the water heater is smaller than the daily preset water consumption, the execution module controls the valve body of the water heater to supplement water until the water storage capacity of the water heater is matched within the set range of the daily preset water consumption, and at the moment, the execution module closes the valve body;
SSS2: the household working time period is called and divided into a standby time period and a heating time period, and when the water heater is in the standby time period, the execution module executes power-off processing on the water heater; when the water heater is in the heating time period, the execution module executes a heating instruction for the water heater;
SSS3: the method comprises the steps of calling a resident leisure time period, and simultaneously, directly powering off the water heater by an execution module when the water heater is in a non-water use time period for the water heater in the resident leisure time period within a week; when the water heater is in the water consumption time period, a water consumption inquiry request is sent to the intelligent terminal of the resident, and when the inquiry request result fed back by the resident is received in the preset time range, analysis and power-off operation are carried out on the inquiry request result.
5. The internet-based enterprise energy monitoring and analysis system of claim 4, wherein the specific process of analyzing the query request results is:
if the query request result is that water is not used, controlling the water heater to execute power-off processing;
if the query request result is water consumption time and water consumption time, calculating the time difference between the current time and the water consumption time to obtain standby time, and obtaining a preset time threshold required by the water heater to be heated to the preset temperature of the resident; comparing the standby time length with a preset time length threshold, and when the standby time length is larger than the preset time length threshold, calculating a time length difference value between the standby time length and the preset time length threshold to obtain a power-off time length, and obtaining the electric quantity required by the water heater to be heated to the preset temperature of a resident and to be kept warm until the water use time is equal to Q1; then, calculating the electric quantity required by the water heater to heat to the preset temperature of the resident, and marking the electric quantity as Q2; when Q2 is less than Q1, controlling the water heater to execute power-off processing, and controlling the water heater to execute power-on and heat to a preset temperature of a resident when the difference value between the current moment and the water consumption moment is equal to a preset duration threshold value; if not, the power-off operation is not performed; when the inquiry request result fed back by the resident is not received within the preset time range, directly controlling the water heater to perform power-off operation;
when the inquiry request result is in the room, the number of persons in the current time period and the indoor temperature are called, the indoor temperature is compared with the preset residence temperature, and when the indoor temperature is higher than the preset residence temperature, a temperature reducing instruction is generated and sent to the execution module; when the indoor temperature is smaller than the preset residence temperature, a temperature increasing instruction is generated and sent to the execution module.
6. The internet-based enterprise energy monitoring and analysis system of claim 5, wherein: the execution module is used for receiving and processing the power-off instruction, the temperature reducing instruction and the temperature increasing instruction; the method comprises the following steps:
when a power-off instruction is received, controlling corresponding common electric equipment or indoor preset electric equipment to power off;
when a temperature reducing instruction is received, controlling the indoor air conditioner to reduce the temperature so that the indoor temperature is equal to the preset residence temperature;
when a temperature increasing instruction is received, controlling the indoor air conditioner to increase the temperature so that the indoor temperature is equal to the preset residence temperature.
7. An internet-based enterprise energy monitoring and analysis system as claimed in claim 2, wherein: the analysis module is also used for analyzing the lighting brightness data of the public activity area of the floor, and the specific analysis is as follows:
SSSS1: dividing public activity areas of all floors into a plurality of activity areas, collecting the number of people in each activity area, and generating a first positive signal if the number of people is greater than zero; if the number of people is equal to zero, generating a second negative signal;
SSSS2: comparing the illumination value of the floor lighting at the current time point with a preset illumination value, and generating a second negative signal when the illumination value of the floor lighting is larger than the preset illumination value; when the illumination value of floor lighting is smaller than or equal to a preset illumination value, generating a second positive signal;
SSSS3: if the first positive signal and the second positive signal are generated at the same time, generating an electrifying signaling, acquiring a floor lighting illumination value and a preset illumination value at a corresponding time point according to the electrifying signaling, performing differential analysis on the floor lighting illumination value and the preset illumination value to obtain an illumination difference value, increasing the illumination of a corresponding active area by a P illumination value according to the illumination difference value, wherein the absolute value of the P illumination value is equal to the absolute value of the illumination difference value.
8. An internet-based enterprise energy monitoring and analysis system as claimed in claim 1, wherein: the industrial data information comprises the operating temperature of heating elements of workshop production equipment and the cooling grade of cooling equipment, wherein the cooling grade is divided into three grades of primary cooling, secondary cooling and tertiary cooling; the life data information comprises power consumption data, indoor temperature data, lighting brightness data of a public activity area of each floor and indoor electric equipment data in each room unit time of each floor; the indoor electric equipment data comprise food storage information in the refrigerator, water consumption of the water heater each time, total water consumption in a week, water consumption time period of the water heater when the resident is in a resident leisure time period in a week, resident working time period and resident leisure time period, wherein the electric power energy consumption data are power consumption degrees.
9. The internet-based enterprise energy monitoring and analysis system of claim 8, wherein: the cloud server is used for receiving and storing industrial data information and life data information; and a classification management unit is also arranged in the cloud server and is used for carrying out classification management on the industrial data information and the life data information.
10. The internet-based enterprise energy monitoring and analysis system of claim 9, wherein: the specific process of the classification management unit for classification management is as follows:
setting a plurality of classification categories, wherein each classification category corresponds to a plurality of subjects; matching the industrial data information and the life data information with all subjects, classifying the industrial data information and the life data information into corresponding classification categories when the industrial data information and the life data information belong to the corresponding subjects, and presetting that each classification category corresponds to a preset storage duration;
and counting the initial time when the industrial data information and the life data information are correspondingly stored in the cloud server, calculating the time difference between the initial time and the current time to obtain the stored time length, and deleting the industrial data information and the life data information when the stored time length is equal to the preset storage time length.
11. An internet-based enterprise energy monitoring and analysis system as claimed in claim 10, wherein: the cloud server further comprises an encryption unit, wherein the encryption unit is used for encrypting the industrial data information and the life data information in the preset subjects.
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