CN113344452A - Park energy consumption management and control method and system, intelligent terminal and storage medium - Google Patents

Park energy consumption management and control method and system, intelligent terminal and storage medium Download PDF

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CN113344452A
CN113344452A CN202110756758.8A CN202110756758A CN113344452A CN 113344452 A CN113344452 A CN 113344452A CN 202110756758 A CN202110756758 A CN 202110756758A CN 113344452 A CN113344452 A CN 113344452A
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杨毅
吴孝林
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Shenzhen Yungu Xingchen Information Technology Co ltd
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Abstract

The invention relates to a park energy consumption control method, a system, an intelligent terminal and a storage medium, wherein the park energy consumption control method comprises the steps of establishing a sub energy consumption data module for each enterprise in a park independently, dividing energy consumption into different energy consumption stages based on the working time of a target enterprise, setting the reference energy consumption of each stage, and comparing the real-time actual energy consumption of the target enterprise with the reference energy consumption of the corresponding stage; when the enterprise energy consumption exceeds the reference energy consumption threshold value, early warning processing is carried out, so that the target enterprise can be checked in time, and the energy waste is reduced; when the energy consumption of the enterprise is between the reference energy consumption and the reference energy consumption threshold value, the factor of overtime of staff is directly taken into the reason of increasing the energy consumption of the enterprise, whether the energy consumption stage is modified or not is judged based on the employee card punching condition, and comparison is carried out again, so that the occurrence of system false alarm events can be reduced, and the early warning accuracy is improved.

Description

Park energy consumption management and control method and system, intelligent terminal and storage medium
Technical Field
The invention relates to the technical field of energy consumption monitoring, in particular to a park energy consumption management and control method, a park energy consumption management and control system, an intelligent terminal and a storage medium.
Background
Under the promotion of the energy, economy and environment collaborative development requirements, the ecological industrial park, as a typical representative of ecological industry, becomes a mainstream development mode of modern industrial organization forms. The ecological industrial park is an important embodiment that industrial enterprises follow a sustainable development concept, and the ecological industrial park takes the core ideas of improving resource recycling and reducing pollutant emission advocated by circular economy as a core idea and essentially provides an effective solution for the synergistic development among energy, economy and environment. With the gradual application and popularization of ecological industrial parks in industrial enterprises of various countries, the organization form becomes an important guide basis for the industrial enterprises to change the organization structure and the operation mode.
At present, the energy consumption monitoring and management system of the ecological industrial park mostly collects the energy consumption of each enterprise in the park through a data sensor, then compares the energy consumption with the historical energy consumption according to the actual energy consumption, if the energy consumption in a certain time period is far greater than the energy consumption in the same period before, the system carries out red marking processing on the enterprise, and then the manager informs the enterprise side to process the energy consumption in the next day. The method only judges whether the employees of the enterprise forget to turn off the light and the air conditioner during work according to the previous and next energy consumption, does not consider the influence of other factors on the energy consumption, is not accurate in data analysis, and does not feed back the early warning result to the enterprise in time, thereby causing energy waste.
Disclosure of Invention
The invention mainly aims to provide a park energy consumption management and control method, a park energy consumption management and control system, an intelligent terminal and a storage medium, and aims to solve the problems in the background art. The technical scheme comprises the following contents.
On one hand, the park energy consumption management and control method comprises the following steps:
s1, collecting energy consumption data of each enterprise in the park, and establishing a sub energy consumption data module for each enterprise;
and S2, based on the working time of the target enterprise, dividing the energy consumption into three stages: the sub-energy consumption data module sets a reference energy consumption and a reference energy consumption threshold value of each stage according to historical energy consumption conditions;
s3, acquiring energy consumption data of the target enterprise in real time, recording the acquired energy consumption time, and correcting the energy consumption data to obtain actual energy consumption;
s4, judging the stage of energy consumption, and calling the reference energy consumption of the corresponding stage;
s5, comparing the actual energy consumption with the reference energy consumption, and returning to the step S3 when the actual energy consumption is less than or equal to the reference energy consumption; when the actual energy consumption is larger than the reference energy consumption, judging whether the actual energy consumption is larger than the reference energy consumption threshold, if the actual energy consumption is larger than or equal to the reference energy consumption threshold, performing early warning processing, if the actual energy consumption data is smaller than the reference energy consumption threshold, calling attendance information to analyze the card punching condition of the staff, judging whether the staff who do not work meet the target parameter condition, if so, returning to the step S4, and adjusting the stage of energy consumption; if the target parameter condition is not met, early warning processing is carried out; the target parameter conditions comprise the department and position of the employees who do not go to work and the number of the employees who do not go to work.
In one possible embodiment, the reference energy consumption is
Figure BDA0003147471320000021
Wherein, T1Which represents the energy consumption of the reference,
Figure BDA0003147471320000022
a correction parameter representing the reference power consumption,
Figure BDA0003147471320000023
Tirepresenting the actual energy consumption in the ith time;
the reference energy consumption is related to the reference threshold energy consumption as follows: t is2=λT1Wherein T is1For reference energy consumption, T2Consumption threshold value as reference, 2<λ<3。
In a possible embodiment, during the working phase and the rest phase
Figure BDA0003147471320000024
In the transition period, setting the time of the transition phase as a first period K1And a second period of time K2During the first time period K1Correction parameter of
Figure BDA0003147471320000031
And the second period of time K2Correction parameter of
Figure BDA0003147471320000032
In the range of the ratio of (A) to (B), wherein
Figure BDA0003147471320000033
While
Figure BDA0003147471320000034
In a possible embodiment, the actual energy consumption T is3Beta TP, wherein beta is a correction parameter, Tp is energy consumption data of a target enterprise collected in real time, and T3Is the actual energy consumption.
In one possible implementation, the target parameter condition in step S5 includes:
if the number of the employees not going to work is more than 50% of the total number of the employees of the target enterprise, modifying the energy consumption stage into a working stage;
if the number of the personnel who do not go to work is less than 50% of the total number of the personnel who do not go to work and more than 25% of the total number of the personnel who do not go to work, analyzing the condition of the department to which the personnel who do not go to work belong, and if the department of the personnel who do not go to work is more than half of the total number of the department of the target enterprise, modifying the energy consumption condition into a working stage.
In a possible embodiment, before step S1, the method further includes performing three-dimensional modeling based on the campus building information, the installation information of the pipes, the installation information of the cooling and heating systems and the installation information of the lighting systems of the target enterprise, and performing marking and area division on the energy consuming devices in the target enterprise.
In one possible embodiment, the early warning processing in step S5 includes: the environmental parameters in each area in the target enterprise are collected, the working conditions of the refrigerating device, the lighting device and the drainage device in each area are analyzed, and a detection report is transmitted to a manager of the target enterprise.
On the one hand, provide a garden power consumption management and control system, include:
the data acquisition module is used for acquiring energy consumption data of each enterprise in the park and establishing a sub-energy consumption database for each enterprise;
the data setting module divides energy consumption into three stages based on the working time of a target enterprise: the sub-energy consumption database sets a reference energy consumption and a reference energy consumption threshold value for each stage according to the past energy consumption condition;
the data acquisition and correction module is used for acquiring energy consumption data of a target enterprise in real time, recording the real-time acquisition energy consumption time and correcting the energy consumption data to obtain actual energy consumption;
the stage selection module is used for judging the stage where the energy consumption is positioned and calling the reference energy consumption of the corresponding stage;
and the early warning analysis module is used for comparing the actual energy consumption with the reference energy consumption, judging the energy consumption condition and carrying out early warning analysis.
In one aspect, there is provided a smart terminal comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and executed to perform any of the methods described above.
In one aspect, a computer readable storage medium is provided, storing a computer program that can be loaded by a processor and executed to perform any of the methods described above.
According to the park energy consumption control method, a sub energy consumption data module is independently established for each enterprise of a park, energy consumption is divided into different energy consumption stages based on the working time of a target enterprise, the reference energy consumption of each stage is set, and the real-time actual energy consumption of the target enterprise is compared with the reference energy consumption of the corresponding stage; when the enterprise energy consumption exceeds the reference energy consumption threshold value, early warning processing is carried out, so that the target enterprise can be checked in time, and the energy waste is reduced; when the energy consumption of the enterprise is between the reference energy consumption and the reference energy consumption threshold value, the factor of overtime of staff is directly taken into the reason of increasing the energy consumption of the enterprise, whether the energy consumption stage is modified or not is judged based on the employee card punching condition, and comparison is carried out again, so that the occurrence of system false alarm events can be reduced, and the early warning accuracy is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a schematic view of the overall steps of the energy consumption control method for a park according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The description relating to "first", "second", etc. in this disclosure is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicit to the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include a single feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
Referring to fig. 1, the method for managing and controlling energy consumption of a park disclosed by the present invention includes steps S1 to S4.
In step S1, energy consumption data of each enterprise in the campus is collected, and a sub-energy consumption database is established for each enterprise;
in step S1, the collection of the enterprise energy consumption data is mainly realized by a data sensor collector. The data sensing collector comprises an electric power collector, a water quantity collector, a heating collector and a gas collector, and collects water, electricity, gas and heating of enterprises. And the data collected by the data sensing collector is in communication connection with the energy consumption database through a serial port or an Ethernet according to an MODBUS communication protocol. And a sub energy consumption data module is independently opened up for each enterprise, so that the analysis and the processing of the data of a single enterprise are facilitated.
In step S2, based on the working time of the target enterprise, the energy consumption is divided into three phases: and in the working stage, the transition stage and the rest stage, the sub-energy consumption database sets a reference energy consumption and a reference energy consumption threshold value for each stage according to the past energy consumption condition.
Because the working hours of each enterprise are different to a greater or lesser extent, especially for enterprises in different industries, the working hours of the enterprises are very different, and the energy consumption peak of the enterprise is in different time periods. Here, according to the working time of an enterprise, the energy consumption situation is divided into three phases, namely a working phase and a rest phase. Wherein the working period refers to the working time of staff on duty, generally 9:00-18:00, the transition time refers to the working time of staff on duty, generally 18:00-24:00, after arriving at the specified off duty time, the staff needs to shift in time due to the emergency of the project, and the rest period refers to the rest period of staff off duty, generally 0:00-09:00, except for non-special conditions. And the benchmark energy consumption is corrected according to the data of the enterprise in a certain past time period. The reference energy consumption is not only constant, but can be set to different values according to seasonal changes of climate. For example, in summer, staff frequently use an air conditioner to cool, and the use frequency of the air conditioner is low due to low temperature in winter, so that the electricity consumption in summer is more than that in winter.
In step S3, acquiring energy consumption data of the target enterprise in real time, recording the real-time acquired energy consumption time, and performing correction processing on the energy consumption data to obtain actual energy consumption;
wherein, the influence of self error and external factor of the data sensing collector, the collected energy consumption data and the actual energy consumption canAnd errors exist, and the acquired energy consumption data are corrected, so that the acquired energy consumption data are closer to energy consumption parameters, and the data acquisition precision is improved. The relationship between the actual energy consumption and the real-time acquisition of the energy consumption data set of the target enterprise is as follows: t is3=βTPWherein T is3For actual energy consumption, beta is a correction parameter, beta>And 0, Tp is the energy consumption data of the target enterprise collected in real time.
In step S4, the stage where the energy consumption is determined is called the reference energy consumption of the corresponding stage.
In step S4, it is generally determined which stage the energy consumption time is at by the collected energy consumption time recorded in step S3. However, when the actual energy consumption is compared with the reference energy consumption and is processed in a specific section, the energy consumption stage is changed according to the card punching condition of the staff of the target enterprise.
In step S5, comparing the actual power consumption with the reference power consumption, and returning to step S3 when the actual power consumption is less than or equal to the reference power consumption; when the actual energy consumption is larger than the reference energy consumption, judging whether the actual energy consumption is larger than a reference energy consumption threshold value or not, if the actual energy consumption is larger than or equal to the reference energy consumption threshold value, carrying out early warning processing, if the actual energy consumption data is smaller than the reference energy consumption threshold value, calling attendance information to analyze the card punching condition of the employee, judging whether the employee who does not leave the work meets the target parameter condition or not, if the actual energy consumption data meets the target parameter condition, returning to the step S4, and adjusting the energy consumption stage; if the target parameter condition is not met, early warning processing is carried out; the target parameter conditions comprise the affiliated department and position of the employees who do not go to work and the number of the employees who do not go to work.
In step S5, based on different energy consumption stages, it is determined whether the energy consumption of the target enterprise exceeds an energy consumption threshold; when the enterprise energy consumption exceeds the reference energy consumption threshold value, early warning processing is carried out, and if the short message and the production early warning analysis report are sent to a manager of a target enterprise, the manager can check and process in time, and energy waste is reduced. And when the energy consumption of the enterprise is between the reference energy consumption and the reference energy consumption threshold value, the attendance information of the enterprise is called, whether the energy consumption is increased because the staff is not off duty is analyzed, namely the factor of staff overtime is directly included as the reason of increasing the energy consumption of the enterprise, the system judges whether the energy consumption stage is modified or not based on the staff card punching condition, and then comparison is carried out again, so that the occurrence of false alarm events of the system can be reduced, and the early warning accuracy is improved.
It should be noted that, in the working phase, most employees of the company are on duty, and the conditions such as the change of the environment of the company or the fault and the working condition of the energy consumption device can be found visually, so that the early warning processing by the system is rarely needed, and the early warning processing is mainly used in the transition phase and the rest phase. The reference energy consumption threshold is set based on the reference energy consumption, and according to statistical analysis and experience, in the embodiment, the reference energy consumption threshold is 2 to 3 times of the reference energy consumption.
Compared with the prior art, in the embodiment, a sub-energy consumption data module is independently established for each enterprise in the park, and energy consumption is divided into three stages based on the working time of a target enterprise: the sub-energy consumption data module sets the reference energy consumption of each stage according to the historical energy consumption condition, and judges whether the real-time actual energy consumption of the target enterprise and the reference energy consumption of the corresponding stage exceed the energy consumption threshold value or not; when the enterprise energy consumption exceeds the reference energy consumption threshold value, early warning processing is carried out, so that the target enterprise management personnel can carry out troubleshooting processing in time, and energy waste is reduced; when the energy consumption of the enterprise is between the reference energy consumption and the reference energy consumption threshold value, the factor of overtime of staff is directly taken into the reason of increasing the energy consumption of the enterprise, the system judges whether the energy consumption stage is modified or not based on the employee card punching condition, and then comparison is carried out again, so that the occurrence of false alarm events of the system can be reduced, and the early warning accuracy is improved.
In an alternative embodiment, the reference energy consumption is a function of
Figure BDA0003147471320000081
Wherein, T1Which represents the energy consumption of the reference,
Figure BDA0003147471320000082
a correction parameter representing the reference power consumption,
Figure BDA0003147471320000083
Tirepresenting the actual energy consumption in the ith time;
the relation between the reference energy consumption threshold and the reference energy consumption is as follows: t is2=λT1Wherein T is1For reference energy consumption, T2The value range of lambda is 2-3 for the reference energy consumption threshold value.
In the present embodiment, the reference energy consumption T1The average value is obtained by collecting actual energy consumption in a plurality of continuous time periods. For example, during the transition phase, the data sensor collector collects [ i, i +1, i +2, + n]The power consumption energy collected in the time of [ a ]0、a1、a2、、、、、、an]Then the advanced energy consumption of the time period is
Figure BDA0003147471320000084
Wherein, in order to make the setting of the reference energy consumption more reasonable, the actual energy consumption in the same time period on a plurality of dates can be obtained by averaging,
Figure BDA0003147471320000085
the parameters are corrected for the reference energy consumption,
Figure BDA0003147471320000091
the value range is between 08 and 1.25.
Furthermore, most of the staff work in the working stage, and most of the staff leave the company in the rest stage, so that the energy consumption of the two stages is relatively stable, large-amplitude correction is not needed, and the correction parameters of the reference energy consumption are used
Figure BDA0003147471320000092
Is 1.
Further, due to the transition stage, the off-duty time of each employee is randomly dispersed, but based on the public transport, subway and reception in the gardenMultiple factors such as the bus barge, etc. may determine that there are overtime hours for the overtime crew during one time period, and that there are few or no people still overtime during another time period (18: 00-21:30 for the first time period and 21: 30-24:00 for the second time period). Based on the above, the time of the transition stage is the first time period K1And a second period of time K2During a first time period K1Correction parameter of
Figure BDA0003147471320000093
And a second period of time K2Correction parameter of
Figure BDA0003147471320000094
In the range of the ratio of (A) to (B), wherein
Figure BDA0003147471320000095
While
Figure BDA0003147471320000096
In one embodiment, the target parameter conditions in step S5 include:
1) if the number of the employees not going to work is more than 50% of the total number of the employees of the target enterprise, modifying the energy consumption stage into a working stage;
2) if the number of the workers not on duty is less than 50% of the total number of the workers of the target enterprise and more than 25% of the total number of the workers of the target enterprise, analyzing the condition of the department to which the workers not on duty belong, and if the number of the department to which the workers not on duty belong is more than half of the number of the departments of the target enterprise headquarter, modifying the energy consumption condition into a working stage.
In this embodiment, the above situations mainly occur in the transition stage and the rest stage, and false alarm is avoided through the energy consumption supply stage in which the number of people who do not go off duty is adjusted in time. Specifically, when the number of the employees not on duty is more than 50% of the total number of the employees in the target enterprise, it is indicated that most of the employees in the enterprise are on duty, and the air conditioners, lamps and other equipment in each department are most likely to work, the system automatically compares and analyzes the energy consumption parameters in the working stage and the working stage, so that the system is prevented from directly giving an alarm without analyzing the influence of other factors only when the energy consumption is higher than a preset reference energy consumption, the occurrence of false alarm events of the system can be effectively reduced, and the early warning accuracy is improved; and when the number of the personnel who do not go to work is less than 50% of the total number of the personnel who do not go to work and more than 25% of the total number of the personnel who do not go to work, a part of colleagues are indicated to be working, then the situation of the department to which the personnel who do not go to work belong is analyzed, and if the number of the department to which the personnel who do not go to work belong is more than half of the number of the headquarters of the target enterprise, the energy consumption situation is modified into a working stage. According to the department clustering principle, the colleagues belonging to one department are often divided into adjacent or nearby work stations for working, so that the same department is basically located in the same working area. When the number of the workers on duty is small, the conditions of the departments to which the workers belong are analyzed through statistics, namely the enterprise departments are used as units to divide the regions, whether energy consumption equipment in each region works or not is checked from the side for the conditions of the workers on duty, and the conditions of the energy consumption stages are adjusted according to the working conditions of the energy consumption equipment.
For example, company a has 100 employees and 6 departments, the number of people who do not go to work within a certain period of time is 30, wherein, the number of the employees is 7 in the sales department, the number of the administrative staff is 2, the number of the employees is 20 in the product service department, and the number of the employees is 1 in the finance department, so that the employees work in 4 departments in 6 departments of the company, and energy consumption equipment such as air conditioners, light tubes and the like in the office area or office of the department are opened more than before, and compared with the working stage, the working conditions of the energy consumption equipment are almost consistent, so that the working stage is modified from the transition stage to the working stage.
In another embodiment, before step S1, three-dimensional modeling is performed based on the campus building information, the pipeline installation information of the target enterprise, the installation information of the cooling and heating system and the lighting system, and energy consumption devices in the target enterprise are marked and divided into areas, which is beneficial for a system administrator to intuitively and quickly know the energy consumption situation of each enterprise.
Further, the warning process in step S5 includes: the environmental parameters in each area in the target enterprise are collected, the working conditions of the refrigerating device, the lighting device and the drainage device in each area are analyzed, and a detection report is transmitted to a manager of the target enterprise. For example, when the temperature sensor detects that the indoor temperature is 20 degrees celsius and the outdoor temperature is 30 degrees celsius, the difference between the two temperatures is relatively large, and it can be determined that the air conditioner in the area is not turned off.
Based on the same inventive concept, the embodiment of the invention provides a park energy consumption management and control system, which comprises:
the data acquisition module is used for acquiring enterprise data and inputting the enterprise data into a preset analysis model, and the preset analysis model is used for processing the acquired enterprise data so as to establish an enterprise portrait for each enterprise;
the data setting module is used for acquiring energy consumption data of each enterprise in the park and establishing a sub-energy consumption database for each enterprise;
the data acquisition and correction module divides energy consumption into three stages based on the working time of a target enterprise: the sub-energy consumption database sets a reference energy consumption and a reference energy consumption threshold value for each stage according to the past energy consumption condition;
the stage selection module is used for judging the stage where the energy consumption is positioned and calling the reference energy consumption of the corresponding stage;
and the early warning analysis module is used for comparing the actual energy consumption with the reference energy consumption, judging the energy consumption condition and carrying out early warning analysis.
The embodiments of the present application also provide a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.
The embodiment of the application provides an intelligent terminal, a memory and a processor, wherein the memory is stored with a computer program which can be loaded by the processor and can execute any one of the methods.
The computer program may be partitioned into one or more modules/units that are stored in the memory and executed by the processor to implement the invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program in the terminal. For example, the computer program may be divided into an upload module, an import module, an authority configuration module, and an information sending module, and the specific functions of each module are as follows: the uploading module is used for receiving the initialization data uploaded by the user; the import module is used for analyzing the correctness of the initialization data and importing the correct initialization data into the system; the authority configuration module is used for receiving the configuration operation of the system function authority by the user and configuring the system function authority of the staff; and the information sending module is used for sending login verification information of the system to the staff after the configuration of the system function authority is completed.
The terminal can be a mobile terminal such as a smart phone or a computing device such as a desktop computer, a notebook, a palm computer and a cloud server. The terminal may include, but is not limited to, a processor 90, a memory. It will be appreciated by those skilled in the art that the above embodiments are merely examples of a terminal and are not intended to be limiting, and that the terminal may include more or fewer components than those shown, or some components may be combined, or different components, for example, the terminal may also include input and output devices, network access devices, buses, etc
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may be an internal storage unit of the terminal, such as a hard disk or a memory of the terminal. The memory may also be an external storage device of the terminal, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the terminal. Further, the memory may also include both an internal storage unit and an external storage device of the terminal. The memory is used for storing the computer program and other programs and data required by the terminal. The memory may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal and method may be implemented in other ways. For example, the above-described apparatus/terminal embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.

Claims (10)

1. A park energy consumption management and control method is characterized by comprising the following steps:
s1, collecting energy consumption data of each enterprise in the park, and establishing a sub energy consumption data module for each enterprise;
and S2, based on the working time of the target enterprise, dividing the energy consumption into three stages: the sub-energy consumption data module sets a reference energy consumption and a reference energy consumption threshold value of each stage according to historical energy consumption conditions;
s3, acquiring energy consumption data of the target enterprise in real time, recording the acquired energy consumption time, and correcting the energy consumption data to obtain actual energy consumption;
s4, judging the stage of energy consumption, and calling the reference energy consumption of the corresponding stage;
s5, comparing the actual energy consumption with the reference energy consumption, and returning to the step S3 when the actual energy consumption is less than or equal to the reference energy consumption; when the actual energy consumption is larger than the reference energy consumption, judging whether the actual energy consumption is larger than the reference energy consumption threshold, if the actual energy consumption is larger than or equal to the reference energy consumption threshold, performing early warning processing, if the actual energy consumption data is smaller than the reference energy consumption threshold, calling attendance information to analyze the card punching condition of the staff, judging whether the staff who do not work meet the target parameter condition, if so, returning to the step S4, and adjusting the stage of energy consumption; if the target parameter condition is not met, early warning processing is carried out; the target parameter conditions comprise the department and position of the employees who do not go to work and the number of the employees who do not go to work.
2. The park energy consumption management and control method according to claim 1, wherein the reference energy consumption is
Figure FDA0003147471310000011
Wherein, T1Which represents the energy consumption of the reference,
Figure FDA0003147471310000012
a correction parameter representing the reference power consumption,
Figure FDA0003147471310000013
Tirepresenting the actual energy consumption in the ith time;
the reference energy consumption is related to the reference threshold energy consumption as follows:
T2=λT1wherein T is1For reference energy consumption, T2Consumption threshold value as reference, 2<λ<3。
3. The park energy consumption management and control method according to claim 2, wherein during the working phase and the rest phase
Figure FDA0003147471310000021
In the transition period, setting the time of the transition phase as a first period K1And a second period of time K2During the first time period K1Correction parameter of
Figure FDA0003147471310000022
And the second period of time K2Correction parameter of
Figure FDA0003147471310000023
In the range of the ratio of (A) to (B), wherein
Figure FDA0003147471310000024
While
Figure FDA0003147471310000025
4. The park energy consumption management and control method according to claim 1, wherein the actual energy consumption T is3=βTPWherein beta is a correction parameter, Tp is energy consumption data of a target enterprise collected in real time, and T3Is the actual energy consumption.
5. The park energy consumption management and control method according to claim 1, wherein the target parameter conditions in the step S5 include:
if the number of the employees not going to work is more than 50% of the total number of the employees of the target enterprise, modifying the energy consumption stage into a working stage;
if the number of the personnel who do not go to work is less than 50% of the total number of the personnel who do not go to work and more than 25% of the total number of the personnel who do not go to work, analyzing the condition of the department to which the personnel who do not go to work belong, and if the department of the personnel who do not go to work is more than half of the total number of the department of the target enterprise, modifying the energy consumption condition into a working stage.
6. The park energy consumption management and control method according to claim 1, wherein before the step S1, the method further comprises performing three-dimensional modeling based on park building information, pipeline installation information of a target enterprise, installation information of a cooling and heating system and a lighting system, and performing marking and area division on energy consumption equipment in the target enterprise.
7. The park energy consumption management and control method according to claim 6, wherein the early warning processing in the step S5 comprises: the environmental parameters in each area in the target enterprise are collected, the working conditions of the refrigerating device, the lighting device and the drainage device in each area are analyzed, and a detection report is transmitted to a manager of the target enterprise.
8. The utility model provides a garden power consumption management and control system which characterized in that includes:
the data acquisition module is used for acquiring energy consumption data of each enterprise in the park and establishing a sub-energy consumption database for each enterprise;
the data setting module divides energy consumption into three stages based on the working time of a target enterprise: the sub-energy consumption database sets a reference energy consumption and a reference energy consumption threshold value for each stage according to the past energy consumption condition;
the data acquisition and correction module is used for acquiring energy consumption data of a target enterprise in real time, recording the real-time acquisition energy consumption time and correcting the energy consumption data to obtain actual energy consumption;
the stage selection module is used for judging the stage where the energy consumption is positioned and calling the reference energy consumption of the corresponding stage;
and the early warning analysis module is used for comparing the actual energy consumption with the reference energy consumption, judging the energy consumption condition and carrying out early warning analysis.
9. An intelligent terminal, comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the method according to any one of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method of any one of claims 1 to 7.
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114549229A (en) * 2021-12-29 2022-05-27 广东飞企互联科技股份有限公司 Intelligent safety monitoring management system and method for park
CN114693140A (en) * 2022-04-02 2022-07-01 浙江青墨湾能源科技有限公司 Regional gas energy intelligent monitoring and analyzing system based on big data
CN115471003A (en) * 2022-09-28 2022-12-13 宁波边缘物联科技有限公司 Intelligent energy consumption adjusting method and system based on flexible management and control
CN116523216A (en) * 2023-04-14 2023-08-01 深圳市坤仑科技有限公司 Intelligent energy management and control system based on Internet of things
CN116579546A (en) * 2023-04-15 2023-08-11 浙江容大电力工程有限公司 Intelligent electricity consumption data analysis and management system based on park
CN117172514A (en) * 2023-11-03 2023-12-05 山东德宝鑫节能科技发展有限公司 Park air conditioner energy consumption management method and system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109709912A (en) * 2018-12-20 2019-05-03 广西程天电子科技有限公司 Energy management control method and system based on Internet of Things
CN110111031A (en) * 2019-06-19 2019-08-09 华翔翔能电气股份有限公司 The business electrical management method and power consuming administrative system of subregion outage management
CN110134094A (en) * 2019-06-07 2019-08-16 广州远正智能科技股份有限公司 A kind of industrial enterprise's energy consumption management system for monitoring
CN112561289A (en) * 2020-12-07 2021-03-26 中标合信(北京)认证有限公司 Energy performance integrated verification method in energy management system authentication
CN112651848A (en) * 2020-12-22 2021-04-13 江苏晟能科技有限公司 Interactive park energy management and control system and method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109709912A (en) * 2018-12-20 2019-05-03 广西程天电子科技有限公司 Energy management control method and system based on Internet of Things
CN110134094A (en) * 2019-06-07 2019-08-16 广州远正智能科技股份有限公司 A kind of industrial enterprise's energy consumption management system for monitoring
CN110111031A (en) * 2019-06-19 2019-08-09 华翔翔能电气股份有限公司 The business electrical management method and power consuming administrative system of subregion outage management
CN112561289A (en) * 2020-12-07 2021-03-26 中标合信(北京)认证有限公司 Energy performance integrated verification method in energy management system authentication
CN112651848A (en) * 2020-12-22 2021-04-13 江苏晟能科技有限公司 Interactive park energy management and control system and method

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114549229A (en) * 2021-12-29 2022-05-27 广东飞企互联科技股份有限公司 Intelligent safety monitoring management system and method for park
CN114549229B (en) * 2021-12-29 2023-07-28 广东飞企互联科技股份有限公司 Safety intelligent monitoring management system and method for park
CN114693140A (en) * 2022-04-02 2022-07-01 浙江青墨湾能源科技有限公司 Regional gas energy intelligent monitoring and analyzing system based on big data
CN115471003A (en) * 2022-09-28 2022-12-13 宁波边缘物联科技有限公司 Intelligent energy consumption adjusting method and system based on flexible management and control
CN116523216A (en) * 2023-04-14 2023-08-01 深圳市坤仑科技有限公司 Intelligent energy management and control system based on Internet of things
CN116579546A (en) * 2023-04-15 2023-08-11 浙江容大电力工程有限公司 Intelligent electricity consumption data analysis and management system based on park
CN116579546B (en) * 2023-04-15 2023-12-12 浙江容大电力工程有限公司 Intelligent electricity consumption data analysis and management system based on park
CN117172514A (en) * 2023-11-03 2023-12-05 山东德宝鑫节能科技发展有限公司 Park air conditioner energy consumption management method and system
CN117172514B (en) * 2023-11-03 2024-01-26 山东德宝鑫节能科技发展有限公司 Park air conditioner energy consumption management method and system

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