CN113033922A - Energy consumption optimization method and system of comprehensive monitoring system - Google Patents
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Abstract
The invention discloses an energy consumption optimization method and system of a comprehensive monitoring system, which comprises the following steps: acquiring the operation data of the energy consumption subsystem and the total energy consumption of the system in the current operation state of the comprehensive monitoring system; determining the energy consumption of each energy consumption subsystem according to the acquired operation data of the energy consumption subsystems and the total energy consumption of the system; judging whether the system is in an optimal energy consumption state according to the total energy consumption of the system to obtain a judgment result; and when the judgment result indicates that the system is not in the total energy consumption optimal state, optimizing each energy consumption subsystem according to the energy consumption of each energy consumption subsystem in the current running state of the system and a preset control strategy so as to enable the comprehensive monitoring system to be in the total energy consumption optimal state. The method can calculate the optimal operation scheme of the high-energy-consumption subsystem, meets the safety index of the system, has important guiding significance for reducing the comprehensive energy consumption, and is mainly used for energy consumption management of the energy consumption pipe gallery and the building intellectualization of the underground comprehensive pipe gallery.
Description
Technical Field
The present invention relates to the field of energy consumption control technologies, and in particular, to an energy consumption optimization method and system for an integrated monitoring system.
Background
The energy consumption of comprehensive monitoring mainly comes from lighting system, fan system and water pump system, and the system carries out whole power supply through a block terminal, does not gather each subsystem's energy consumption data, consequently can't effectual analysis each subsystem's operating efficiency and energy consumption state. The traditional system is mainly based on manual inspection and lacks a method for guiding operation and maintenance of a pipe gallery through data, so that real-time and accurate analysis on system energy consumption cannot be performed, and a main energy consumption system of the pipe gallery cannot be optimized through a data model so as to achieve the purpose of reducing energy consumption.
Centralized monitoring of energy consumption of comprehensive monitoring is a conventional means, but this type of technology cannot accurately analyze the energy consumption of each subsystem, and further cannot realize closed-loop control with an automatic subsystem control system, so that the purpose of performing system analysis and optimization on the energy consumption of the corridor cannot be realized.
Disclosure of Invention
The invention provides an energy consumption optimization method and system of a comprehensive monitoring system, and aims to solve the problem of optimizing the total energy consumption of the system.
In order to solve the above problems, according to an aspect of the present invention, there is provided a method for optimizing energy consumption of an integrated monitoring system, the method including:
acquiring the operation data of the energy consumption subsystem and the total energy consumption of the system in the current operation state of the comprehensive monitoring system;
determining the energy consumption of each energy consumption subsystem in the current operation state of the system according to the acquired operation data of the energy consumption subsystems and the total energy consumption of the system;
judging whether the system is in an optimal energy consumption state according to the total energy consumption of the system to obtain a judgment result;
and when the judgment result indicates that the system is not in the total energy consumption optimal state, optimizing each energy consumption subsystem according to the energy consumption of each energy consumption subsystem in the current running state of the system and a preset control strategy so as to enable the comprehensive monitoring system to be in the total energy consumption optimal state.
Preferably, wherein the energy consuming subsystem comprises: at least one of a lighting system, a fan system, and a water pump system.
Preferably, the determining the energy consumption of each energy consumption subsystem according to the collected operation data of the energy consumption subsystems and the total system energy consumption comprises:
determining the energy consumption of the energy consumption subsystem with unknown operation data according to the difference value between the total energy consumption of the system and the energy consumption subsystem with known operation data;
for any energy consumption subsystem, determining the energy consumption of the any energy consumption subsystem according to the collected operation data by using the following formula comprises the following steps:
wherein Q isiIs the ith energy consumption subsystem; wfixThe operating power of the ith energy consumption equipment corresponding to the ith energy consumption subsystem is obtained; tfixThe ith energy consumption equipment corresponding to the ith energy consumption subsystem is on listRun time in bit time.
Preferably, the judging whether the system is in the optimal state of total energy consumption according to the total energy consumption of the system to obtain a judgment result includes:
when the total energy consumption of the system is less than a preset total energy consumption threshold value, determining that the system is in the optimal total energy consumption state according to a judgment result;
and when the total energy consumption of the system is greater than a preset total energy consumption threshold value, determining that the system is not in the optimal state of the total energy consumption as a judgment result.
Preferably, when the judgment result indicates that the system is not in the total energy consumption optimal state, optimizing each energy consumption subsystem according to the energy consumption of each energy consumption subsystem in the current operation state of the system and according to a preset control strategy, so that the integrated monitoring system is in the total energy consumption optimal state, includes:
for the fan system, determining the number and stop positions of fan equipment allowed to stop according to the distribution of the fan equipment, the temperature data of the current system, harmful gas data and fan warning information;
for the lighting system, determining the number and the closing positions of the lighting devices allowed to be closed according to the lowest lighting requirement and the distribution condition of the lighting devices when the pipe gallery is in normal operation;
for the water pump system, determining the number and the stop positions of the water pump equipment which are allowed to stop according to the distribution of the water pump equipment, the liquid level data of the pipe gallery system and water pump alarm information;
determining a control scheme according to a preset device start-stop priority, the number and stop positions of the fan devices allowed to stop and the number and stop positions of the water pump devices allowed to stop;
and controlling the fan equipment, the water pump equipment and the lighting equipment according to the control scheme until the system is in the state of total energy consumption optimization.
According to another aspect of the present invention, there is provided an energy consumption optimizing system of an integrated monitoring system, the system including:
the data acquisition unit is used for acquiring the operation data of the energy consumption subsystem and the total energy consumption of the system in the current operation state of the system;
the energy consumption calculation unit is used for determining the energy consumption of each energy consumption subsystem in the current operation state of the system according to the acquired operation data of the energy consumption subsystems and the total energy consumption of the system;
the judging unit is used for judging whether the system is in the optimal energy consumption state according to the total energy consumption of the system so as to obtain a judging result;
and the energy consumption optimization unit is used for optimizing each energy consumption subsystem according to the energy consumption of each energy consumption subsystem in the current running state of the system and a preset control strategy when the judgment result indicates that the system is not in the total energy consumption optimal state, so that the comprehensive monitoring system is in the total energy consumption optimal state.
Preferably, wherein the energy consuming subsystem comprises: at least one of a lighting system, a fan system, and a water pump system.
Preferably, the determining, by the energy consumption calculating unit, the energy consumption of each energy consumption subsystem according to the collected operation data of the energy consumption subsystem and the total system energy consumption includes:
determining the energy consumption of the energy consumption subsystem with unknown operation data according to the difference value between the total energy consumption of the system and the energy consumption subsystem with known operation data;
for any energy consumption subsystem, determining the energy consumption of the any energy consumption subsystem according to the collected operation data by using the following formula comprises the following steps:
wherein Q isiIs the ith energy consumption subsystem; wfixThe operating power of the ith energy consumption equipment corresponding to the ith energy consumption subsystem is obtained; tfixAnd the operation time of the ith energy consumption device corresponding to the ith energy consumption subsystem in unit time.
Preferably, the judging unit, according to the total energy consumption of the system, judging whether the system is in the optimal state of total energy consumption to obtain the judgment result, includes:
when the total energy consumption of the system is less than a preset total energy consumption threshold value, determining that the system is in the optimal total energy consumption state according to a judgment result;
and when the total energy consumption of the system is greater than a preset total energy consumption threshold value, determining that the system is not in the optimal state of the total energy consumption as a judgment result.
Preferably, when the determination result indicates that the system is not in the total energy consumption optimal state, the energy consumption optimization unit optimizes each energy consumption subsystem according to the energy consumption of each energy consumption subsystem in the current operating state of the system and a preset control strategy, so that the integrated monitoring system is in the total energy consumption optimal state, including:
for the fan system, determining the number and stop positions of fan equipment allowed to stop according to the distribution of the fan equipment, the temperature data of the current system, harmful gas data and fan warning information;
for the lighting system, determining the number and the closing positions of the lighting devices allowed to be closed according to the lowest lighting requirement and the distribution condition of the lighting devices when the pipe gallery is in normal operation;
for the water pump system, determining the number and the stop positions of the water pump equipment which are allowed to stop according to the distribution of the water pump equipment, the liquid level data of the pipe gallery system and water pump alarm information;
determining a control scheme according to a preset device start-stop priority, the number and stop positions of the fan devices allowed to stop and the number and stop positions of the water pump devices allowed to stop;
and controlling the fan equipment, the water pump equipment and the lighting equipment according to the control scheme until the system is in the state of total energy consumption optimization.
The invention provides an energy consumption optimization method and system of a comprehensive monitoring system, which comprises the following steps: collecting the total energy consumption of the system and recording the operation data of each energy consumption subsystem; accurately calculating the real-time energy consumption data of the subsystem; optimizing the running energy consumption of the system according to the real-time energy consumption data of the subsystem and an automatic control system of the subsystem, and finally enabling the energy consumption of the system to be optimal; the method can calculate the optimal operation scheme of the high-energy-consumption subsystem and simultaneously meet the safety index of the system, has important guiding significance for reducing the comprehensive energy consumption of the underground pipe gallery, has good expansibility, and can realize integration with the equipment aging mechanism of the energy-consumption subsystem so as to monitor the energy consumption improvement caused by equipment aging of the pipe gallery in a full life cycle.
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A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings in which:
FIG. 1 is a flow diagram of a method 100 for energy consumption optimization of an integrated monitoring system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of integrated monitoring of energy consumption according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of calculated energy consumption for each energy consumption subsystem, according to an embodiment of the present invention;
FIG. 4 is a graph comparing total energy consumption before and after optimization according to an embodiment of the present invention;
FIG. 5 is a graph illustrating energy consumption comparison of respective energy consumption systems before and after optimization according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an energy consumption optimization system 600 of the integrated monitoring system according to an embodiment of the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
Fig. 1 is a flow chart of a method 100 for optimizing energy consumption of an integrated monitoring system according to an embodiment of the present invention. As shown in fig. 1, the energy consumption optimization method of the integrated monitoring system according to the embodiment of the present invention can calculate the optimal operation scheme of the high-energy consumption subsystem and simultaneously satisfy the safety index of the system, and has an important guiding significance for reducing the integrated energy consumption of the underground pipe gallery. The embodiment of the invention provides an energy consumption optimization method 100 of an integrated monitoring system, which starts from step 101, and collects operation data of an energy consumption subsystem and total energy consumption of the system in the current operation state of the integrated monitoring system in step 101.
Preferably, wherein the energy consuming subsystem comprises: at least one of a lighting system, a fan system, and a water pump system.
In the invention, the energy consumption subsystem of the integrated monitoring system comprises: a lighting system, a fan system and a water pump system. The intelligent operation and maintenance platform for the underground pipe gallery is developed and completed, and the operation data and the total energy consumption of the system are collected in real time, so that a real-time data basis is provided for the energy consumption analysis of the subsystems.
In step 102, the energy consumption of each energy consumption subsystem in the current operation state of the system is determined according to the collected operation data of the energy consumption subsystems and the total energy consumption of the system.
Preferably, the determining the energy consumption of each energy consumption subsystem according to the collected operation data of the energy consumption subsystems and the total system energy consumption comprises:
determining the energy consumption of the energy consumption subsystem with unknown operation data according to the difference value between the total energy consumption of the system and the energy consumption subsystem with known operation data;
for any energy consumption subsystem, determining the energy consumption of the any energy consumption subsystem according to the collected operation data by using the following formula comprises the following steps:
wherein Q isiIs the ith energy consumption subsystem; wfixThe operating power of the ith energy consumption equipment corresponding to the ith energy consumption subsystem is obtained; tfixAnd the operation time of the ith energy consumption device corresponding to the ith energy consumption subsystem in unit time.
In the invention, the energy consumption subsystem mainly comprises an illumination system, a fan system and a water pump system. For any energy consumption subsystem i, a formula can be utilized according to the collected operation number
Calculating to obtain the energy consumption of the energy consumption subsystem; wherein Q isiIs the ith energy consumption subsystem; wfixThe operating power of the ith energy consumption equipment corresponding to the ith energy consumption subsystem is obtained; tfixAnd the operation time of the ith energy consumption device corresponding to the ith energy consumption subsystem in unit time.
When there are three energy consumption subsystems, if the energy consumption of two energy consumption subsystems and the total energy consumption of the system are known, the energy consumption of the other energy consumption subsystem can be calculated by the difference between the total energy consumption of the system and the energy consumption of the other two energy consumption subsystems. For example, the energy consumption of a lighting system is typically computationally complex, assuming a total energy consumption per unit time of QaThe power of the fan is WfThe running time of the fan in unit time is TfThe power of the water pump is WpThe running time of the water pump in unit time is TpIf n fans and m water pumps are adopted, neglecting the energy consumption of other equipment, the energy consumption of the lighting system can be calculated as follows:
as shown in fig. 2, the data including the total energy consumption of the system, the energy consumption of the fan system, and the energy consumption of the water pump system can be obtained by using the above formula, and the data including the total energy consumption, the energy consumption of the fan system, the energy consumption of the water pump system, and the energy consumption of the lighting system can be obtained as shown in fig. 3.
Similarly, in the case of missing any energy consumption subsystem operation state data, the energy consumption of any energy consumption subsystem can be calculated by the principle of the above formula.
And 103, judging whether the system is in an energy consumption optimal state according to the total energy consumption of the system to obtain a judgment result.
Preferably, the judging whether the system is in the optimal state of total energy consumption according to the total energy consumption of the system to obtain a judgment result includes:
when the total energy consumption of the system is less than a preset total energy consumption threshold value, determining that the system is in the optimal total energy consumption state according to a judgment result;
and when the total energy consumption of the system is greater than a preset total energy consumption threshold value, determining that the system is not in the optimal state of the total energy consumption as a judgment result.
In step 104, when the judgment result indicates that the system is not in the total energy consumption optimal state, optimizing each energy consumption subsystem according to the energy consumption of each energy consumption subsystem in the current operation state of the system and a preset control strategy, so that the comprehensive monitoring system is in the total energy consumption optimal state.
Preferably, when the judgment result indicates that the system is not in the total energy consumption optimal state, optimizing each energy consumption subsystem according to the energy consumption of each energy consumption subsystem in the current operation state of the system and according to a preset control strategy, so that the integrated monitoring system is in the total energy consumption optimal state, includes:
for the fan system, determining the number and stop positions of fan equipment allowed to stop according to the distribution of the fan equipment, the temperature data of the current system, harmful gas data and fan warning information;
for the lighting system, determining the number and the closing positions of the lighting devices allowed to be closed according to the lowest lighting requirement and the distribution condition of the lighting devices when the pipe gallery is in normal operation;
for the water pump system, determining the number and the stop positions of the water pump equipment which are allowed to stop according to the distribution of the water pump equipment, the liquid level data of the pipe gallery system and water pump alarm information;
determining a control scheme according to a preset device start-stop priority, the number and stop positions of the fan devices allowed to stop and the number and stop positions of the water pump devices allowed to stop;
and controlling the fan equipment, the water pump equipment and the lighting equipment according to the control scheme until the system is in the state of total energy consumption optimization.
At present, the switch data of the lighting system is mainly manually controlled, the lighting system is mainly controlled according to some conventional experiences and specifications, and meanwhile, the fan and the water pump system are controlled according to the safety requirements of a pipe gallery. According to the method, the system control can be optimized through the subsystem energy consumption calculation method, the safety requirements of the pipe gallery and the starting, stopping and operating characteristics of the subsystems are combined to carry out optimal control, and the system lowest energy consumption operation mode is obtained.
According to the invention, the corresponding intelligent operation and maintenance platform of the underground pipe gallery can acquire energy consumption data in real time, and a real-time data basis is provided for energy consumption analysis of the subsystem. Assuming that the real-time total energy consumption of the pipe gallery is Qd, the real-time fan subsystem energy consumption is Qf, the real-time water pump subsystem energy consumption is Qp and the operation data of the lighting system is unknown before the pipe gallery is optimized by the technology (considering that the pipe gallery system does not generally collect the operation time of the lighting system).
Firstly, a software system formed by the technology of the invention is butted with an intelligent pipe gallery energy consumption big data module to obtain real-time data Qd of comprehensive energy consumption, and simultaneously obtain the real-time running state of each fan and the water pump, and the real-time energy consumption of the fan subsystem and the water pump subsystem can be obtained by combining the power of the fans and the water pump through a subsystem energy consumption calculation method, and then the real-time energy consumption of the illumination subsystem is calculated.
Then, whether the energy consumption is optimal or not is judged. When the total energy consumption of the system is less than a preset total energy consumption threshold value, determining that the system is in the optimal total energy consumption state according to a judgment result; and when the total energy consumption of the system is greater than a preset total energy consumption threshold value, determining that the system is not in the optimal state of the total energy consumption as a judgment result. The preset total energy consumption threshold value is dynamically determined according to historical total energy consumption data and the starting and stopping conditions of the equipment.
In the invention, when the total energy consumption of the system is not in an optimal state, the operation mechanism of the subsystem is optimized based on the real-time energy consumption data of the subsystem. Firstly, controlling a starting mechanism of a fan according to the distribution of the fan and high-temperature and harmful gas data and alarm information acquired by a smart pipe gallery system, wherein the control is carried out by sending a starting and stopping signal to a fan control unit through a fan automatic control system in a smart pipe gallery software platform; based on similar control method, wisdom piping lane fortune dimension system can be according to the distribution of water pump and the liquid level data and the alarm information that wisdom piping lane system obtained to control the mechanism and the number of opening and shutting down of water pump, and this control is opened to water pump control unit through the water pump automatic control system in the wisdom piping lane software platform and is stopped the signal and control. And finally, based on the lowest lighting requirement and the distribution of the lighting system of the pipe gallery in normal operation, the lighting automatic control system in the intelligent pipe gallery software platform sends a switching signal to the lighting control unit to control. The energy consumption of the system is optimized in real time by controlling the three subsystems.
The comparison of the total energy consumption of the optimized system is shown in fig. 4. Fig. 4 and 5 show the change of the total energy consumption of the system before and after applying the technology of the patent, and it can be seen that the total energy consumption of the optimized system is reduced by 5-8%, and the energy consumption of each subsystem is reduced to different degrees.
The method can accurately calculate the energy consumption of the main subsystem of the underground pipe gallery, and can provide an automatic control scheme for energy consumption optimization by combining with the intelligent large energy consumption database of the pipe gallery, so that the aim of reducing the energy consumption is fulfilled.
Fig. 6 is a schematic structural diagram of an energy consumption optimization system 600 of the integrated monitoring system according to an embodiment of the present invention. As shown in fig. 6, an energy consumption optimization system 600 of an integrated monitoring system according to an embodiment of the present invention includes: the energy consumption optimizing system comprises a data acquisition unit 601, an energy consumption calculating unit 602, a judging unit 603 and an energy consumption optimizing unit 604.
Preferably, the data acquisition unit 601 is configured to acquire the operation data of the energy consumption subsystem and the total energy consumption of the system in the current operation state of the integrated monitoring system.
Preferably, wherein the energy consuming subsystem comprises: at least one of a lighting system, a fan system, and a water pump system.
Preferably, the energy consumption calculating unit 602 is configured to determine the energy consumption of each energy consumption subsystem in the current operating state of the system according to the collected operating data of the energy consumption subsystems and the total energy consumption of the system.
Preferably, the determining the energy consumption of each energy consumption subsystem according to the collected operation data of the energy consumption subsystems and the total system energy consumption by the energy consumption calculating unit 602 includes:
determining the energy consumption of the energy consumption subsystem with unknown operation data according to the difference value between the total energy consumption of the system and the energy consumption subsystem with known operation data;
for any energy consumption subsystem, determining the energy consumption of the any energy consumption subsystem according to the collected operation data by using the following formula comprises the following steps:
wherein Q isiIs the ith energy consumption subsystem; wfixThe operating power of the ith energy consumption equipment corresponding to the ith energy consumption subsystem is obtained; tfixAnd the operation time of the ith energy consumption device corresponding to the ith energy consumption subsystem in unit time.
Preferably, the judging unit 603 is configured to judge whether the system is in an energy consumption optimal state according to the total energy consumption of the system, so as to obtain a judgment result.
Preferably, the judging unit, according to the total energy consumption of the system, judging whether the system is in the optimal state of total energy consumption to obtain the judgment result, includes:
when the total energy consumption of the system is less than a preset total energy consumption threshold value, determining that the system is in the optimal total energy consumption state according to a judgment result;
and when the total energy consumption of the system is greater than a preset total energy consumption threshold value, determining that the system is not in the optimal state of the total energy consumption as a judgment result.
Preferably, the energy consumption optimizing unit 604 is configured to, when the determination result indicates that the system is not in the total energy consumption optimal state, optimize each energy consumption subsystem according to a preset control strategy based on energy consumption of each energy consumption subsystem in the current operating state of the system, so that the integrated monitoring system is in the total energy consumption optimal state.
Preferably, when the determination result indicates that the system is not in the total energy consumption optimal state, the energy consumption optimization unit optimizes each energy consumption subsystem according to the energy consumption of each energy consumption subsystem in the current operating state of the system and a preset control strategy, so that the integrated monitoring system is in the total energy consumption optimal state, including:
for the fan system, determining the number and stop positions of fan equipment allowed to stop according to the distribution of the fan equipment, the temperature data of the current system, harmful gas data and fan warning information;
for the lighting system, determining the number and the closing positions of the lighting devices allowed to be closed according to the lowest lighting requirement and the distribution condition of the lighting devices when the pipe gallery is in normal operation;
for the water pump system, determining the number and the stop positions of the water pump equipment which are allowed to stop according to the distribution of the water pump equipment, the liquid level data of the pipe gallery system and water pump alarm information;
determining a control scheme according to a preset device start-stop priority, the number and stop positions of the fan devices allowed to stop and the number and stop positions of the water pump devices allowed to stop;
and controlling the fan equipment, the water pump equipment and the lighting equipment according to the control scheme until the system is in the state of total energy consumption optimization.
The energy consumption optimization system 600 of the integrated monitoring system according to the embodiment of the present invention corresponds to the energy consumption optimization method 100 of the integrated monitoring system according to another embodiment of the present invention, and is not described herein again.
The invention has been described with reference to a few embodiments. However, other embodiments of the invention than the one disclosed above are equally possible within the scope of the invention, as would be apparent to a person skilled in the art from the appended patent claims.
Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a/an/the [ device, component, etc ]" are to be interpreted openly as referring to at least one instance of said device, component, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. A method for optimizing energy consumption of an integrated monitoring system, the method comprising:
acquiring the operation data of the energy consumption subsystem and the total energy consumption of the system in the current operation state of the comprehensive monitoring system;
determining the energy consumption of each energy consumption subsystem in the current operation state of the system according to the acquired operation data of the energy consumption subsystems and the total energy consumption of the system;
judging whether the system is in an optimal energy consumption state according to the total energy consumption of the system to obtain a judgment result;
and when the judgment result indicates that the system is not in the total energy consumption optimal state, optimizing each energy consumption subsystem according to the energy consumption of each energy consumption subsystem in the current running state of the system and a preset control strategy so as to enable the comprehensive monitoring system to be in the total energy consumption optimal state.
2. The method of claim 1, wherein the energy consuming subsystem comprises: at least one of a lighting system, a fan system, and a water pump system.
3. The method of claim 1, wherein determining the energy consumption of each energy consumption subsystem based on the collected operational data of the energy consumption subsystem and the total system energy consumption comprises:
determining the energy consumption of the energy consumption subsystem with unknown operation data according to the difference value between the total energy consumption of the system and the energy consumption subsystem with known operation data;
for any energy consumption subsystem, determining the energy consumption of the any energy consumption subsystem according to the collected operation data by using the following formula comprises the following steps:
wherein Q isiIs the ith energy consumption subsystem; wfixThe operating power of the ith energy consumption equipment corresponding to the ith energy consumption subsystem is obtained; tfixAnd the operation time of the ith energy consumption device corresponding to the ith energy consumption subsystem in unit time.
4. The method according to claim 1, wherein the determining whether the system is in the optimal state of total energy consumption according to the total energy consumption of the system to obtain the determination result comprises:
when the total energy consumption of the system is less than a preset total energy consumption threshold value, determining that the system is in the optimal total energy consumption state according to a judgment result;
and when the total energy consumption of the system is greater than a preset total energy consumption threshold value, determining that the system is not in the optimal state of the total energy consumption as a judgment result.
5. The method according to claim 1, wherein when the judgment result indicates that the system is not in the total energy consumption optimal state, optimizing each energy consumption subsystem according to the energy consumption of each energy consumption subsystem in the current operation state of the system according to a preset control strategy so that the integrated monitoring system is in the total energy consumption optimal state comprises:
for the fan system, determining the number and stop positions of fan equipment allowed to stop according to the distribution of the fan equipment, the temperature data of the current system, harmful gas data and fan warning information;
for the lighting system, determining the number and the closing positions of the lighting devices allowed to be closed according to the lowest lighting requirement and the distribution condition of the lighting devices when the pipe gallery is in normal operation;
for the water pump system, determining the number and the stop positions of the water pump equipment which are allowed to stop according to the distribution of the water pump equipment, the liquid level data of the pipe gallery system and water pump alarm information;
determining a control scheme according to a preset device start-stop priority, the number and stop positions of the fan devices allowed to stop and the number and stop positions of the water pump devices allowed to stop;
and controlling the fan equipment, the water pump equipment and the lighting equipment according to the control scheme until the system is in the state of total energy consumption optimization.
6. An energy consumption optimization system for an integrated monitoring system, the system comprising:
the data acquisition unit is used for acquiring the operation data of the energy consumption subsystem and the total energy consumption of the system in the current operation state of the comprehensive monitoring system;
the energy consumption calculation unit is used for determining the energy consumption of each energy consumption subsystem in the current operation state of the system according to the acquired operation data of the energy consumption subsystems and the total energy consumption of the system;
the judging unit is used for judging whether the system is in the optimal energy consumption state according to the total energy consumption of the system so as to obtain a judging result;
and the energy consumption optimization unit is used for optimizing each energy consumption subsystem according to the energy consumption of each energy consumption subsystem in the current running state of the system and a preset control strategy when the judgment result indicates that the system is not in the total energy consumption optimal state, so that the comprehensive monitoring system is in the total energy consumption optimal state.
7. The system of claim 6, wherein the energy consuming subsystem comprises: at least one of a lighting system, a fan system, and a water pump system.
8. The system of claim 6, wherein the energy consumption calculating unit determines the energy consumption of each energy consumption subsystem according to the collected operation data of the energy consumption subsystems and the total system energy consumption, and comprises:
determining the energy consumption of the energy consumption subsystem with unknown operation data according to the difference value between the total energy consumption of the system and the energy consumption subsystem with known operation data;
for any energy consumption subsystem, determining the energy consumption of the any energy consumption subsystem according to the collected operation data by using the following formula comprises the following steps:
wherein Q isiIs the ith energy consumption subsystem; wfixThe operating power of the ith energy consumption equipment corresponding to the ith energy consumption subsystem is obtained; tfixAnd the operation time of the ith energy consumption device corresponding to the ith energy consumption subsystem in unit time.
9. The system according to claim 6, wherein the judging unit judges whether the system is in the optimal state of total energy consumption according to the total energy consumption of the system to obtain the judgment result, and comprises:
when the total energy consumption of the system is less than a preset total energy consumption threshold value, determining that the system is in the optimal total energy consumption state according to a judgment result;
and when the total energy consumption of the system is greater than a preset total energy consumption threshold value, determining that the system is not in the optimal state of the total energy consumption as a judgment result.
10. The system of claim 6, wherein the energy consumption optimization unit, when the determination result indicates that the system is not in the total energy consumption optimal state, optimizes each energy consumption subsystem according to a preset control strategy based on the energy consumption of each energy consumption subsystem in the current operation state of the system, so that the integrated monitoring system is in the total energy consumption optimal state, and the method comprises:
for the fan system, determining the number and stop positions of fan equipment allowed to stop according to the distribution of the fan equipment, the temperature data of the current system, harmful gas data and fan warning information;
for the lighting system, determining the number and the closing positions of the lighting devices allowed to be closed according to the lowest lighting requirement and the distribution condition of the lighting devices when the pipe gallery is in normal operation;
for the water pump system, determining the number and the stop positions of the water pump equipment which are allowed to stop according to the distribution of the water pump equipment, the liquid level data of the pipe gallery system and water pump alarm information;
determining a control scheme according to a preset device start-stop priority, the number and stop positions of the fan devices allowed to stop and the number and stop positions of the water pump devices allowed to stop;
and controlling the fan equipment, the water pump equipment and the lighting equipment according to the control scheme until the system is in the state of total energy consumption optimization.
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