CN111178821A

CN111178821A - Energy control and management system

Info

Publication number: CN111178821A
Application number: CN201911044338.6A
Authority: CN
Inventors: 林柏岐; 陈仲俨; 彭裕少; 邱奕华
Original assignee: Formosa Plastics Technology Co ltd; National Central University
Current assignee: Formosa Plastics Technology Co ltd; National Central University
Priority date: 2018-11-13
Filing date: 2019-10-30
Publication date: 2020-05-19
Also published as: TWM576310U

Abstract

An energy control and management system comprises a plurality of monitoring devices, a servo host and a manager device. And the monitoring device is suitable for measuring the monitored device and providing energy consumption information. The servo host is connected to the monitoring device and receives the energy consumption information, and the servo host comprises a statistical module and a report module. The statistical module is used for counting and storing the energy consumption information. The report module generates energy consumption report information according to the energy consumption information. The manager device is connected to the servo host and can browse the energy consumption information and the energy consumption report information. The invention has the advantages that the energy consumption states of a plurality of devices can be controlled, and reports of various different modes can be generated, so that a manager can browse conveniently.

Description

Energy control and management system

Technical Field

The invention provides a control and management system, in particular to an energy control and management system.

Background

Energy is one of the important resources in modern life, and particularly, the cost of the enterprise operation needing to be controlled and managed is also one of the important resources in modern life. The common household appliances are simple in quantity and can be monitored from the total electricity consumption. However, some businesses or institutions, such as factories, schools, hospitals, etc. Usually, a large number of devices requiring energy, or special equipment, are provided. Such as large-scale production facilities of factories, special inspection facilities of hospitals, and the like.

For these large quantities of special equipment, the energy consumption is large, and monitoring is needed to control the energy cost of the enterprise or organization. Conventionally, monitoring equipment is installed on the equipment, and then a person checks meter reading and registers the equipment, and then statistical analysis is performed. However, such a method requires manual execution, and the energy consumption state of the device cannot be monitored in real time, and there is a problem that a person checks meter or registers an error. And the manual execution mode is not suitable for a group with a larger system, and the more equipment means more manpower is needed for execution, so the cost benefit is very low.

Therefore, it is worth the thinking of those skilled in the art how to solve the above problems.

Disclosure of Invention

The invention provides an energy control and management system which has the advantages that the energy consumption states of a plurality of devices can be controlled, reports of various different modes can be generated, and a manager can browse the reports conveniently.

The invention provides an energy control and management system, which comprises a plurality of monitoring devices, a servo host and a manager device. And the monitoring device is suitable for measuring the monitored device and providing energy consumption information. The servo host is connected to the monitoring device and receives the energy consumption information, and the servo host comprises a statistical module and a report module. The statistical module is used for counting and storing the energy consumption information. The report module generates energy consumption report information according to the energy consumption information. The manager device is connected to the servo host and can browse the energy consumption information and the energy consumption report information.

In the above energy control and management system, the monitoring device further includes location tag information, and the location tag information is transmitted to the server.

In the above energy control and management system, the report module receives the location tag information, and generates the energy consumption report information according to the location tag information and the energy consumption information.

In the energy control and management system, the energy consumption report information is obtained by distinguishing each energy consumption information by a place.

In the energy control and management system, the energy consumption report information is obtained by distinguishing each energy consumption information by time.

In the above energy control and management system, the server further includes a management module adapted to set a plurality of administrator rights.

In the above energy control and management system, the server further includes an alert module adapted to determine the energy consumption information, and transmit an alert message to the administrator device when the energy consumption information exceeds a warning value.

In the above energy control and management system, the monitoring device is further adapted to measure the monitored device and provide device parameter information, and the server further includes a prediction module and an optimization module. The prediction module receives the device parameter information and calculates predicted parameter information. The optimization module generates device operation information according to the device parameter information and the prediction parameter information. The energy control and management system also comprises a fine adjustment device which is arranged on the monitored device and connected to the servo host, receives the device operation information and operates the monitored device.

The above energy control system, wherein the monitoring device provides the device parameter information every 5 minutes.

In the above energy control and management system, the prediction module calculates the predicted parameter information through an insensitive parameter-Support Vector Regression (e-SVR).

In the above energy management system, the optimization module calculates the device operation information through a Particle Swarm Optimization (PSO).

In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. It is to be noted that the components in the attached drawings are merely schematic and are not shown in actual scale.

Drawings

Fig. 1 is a schematic diagram of an energy management system.

Fig. 2 to fig. 6 are different forms of energy consumption reports.

Fig. 7 is a schematic diagram of an energy management system according to another embodiment.

Detailed Description

The invention provides an energy control and management system, which is convenient for related personnel to manage by monitoring each energy consumption node, receiving the energy consumption data by a servo host, analyzing, integrating and displaying the energy consumption data.

Referring to fig. 1, fig. 1 is a schematic diagram of an energy management system. The energy management system 100 includes a plurality of monitoring devices 110, a server 120 and a manager device 130. The monitoring device 110 is disposed on the monitored device 10, and the monitored device 10 is a device to be monitored, such as an air conditioner, a water chiller, a production facility, and the like. The monitoring device 110 further monitors the energy consumption status of the monitored device 10, so that the monitoring device 110 provides energy consumption information. In one embodiment, the monitoring device 110 further includes a location tag information, which records the location of the monitoring device 110, and the location tag information and the energy consumption information are transmitted to the server 120.

The server 120 is the center of the main operation of the energy management system 100, and can be operated by a single server or by a combination of multiple servers. The server 120 is connected to each monitoring device 110 and receives the energy consumption information provided by the monitoring device 110. The server 120 includes a statistics module 121 and a reporting module 122.

The statistical module 121 is adapted to count and store the energy consumption information provided by the monitoring device 110. That is, the server host 120 can count and calculate the energy consumption information through the counting module 121. The report module 122 is adapted to generate energy consumption report information according to the energy consumption information. The report module 122 can integrate different parameters to generate reports, or integrate various energy consumption information to generate reports of different modes.

Referring to fig. 2 to 6, fig. 2 to 6 are different forms of energy consumption reports. Referring to fig. 2, in the embodiment of fig. 2, energy consumption information of each area is presented in a pie chart from top to bottom according to a plurality of energy consumption information and location tag information corresponding to the energy consumption information. For the embodiment of fig. 2, the energy consumption information is first distinguished from the highest region, then different buildings are distinguished from the regions, and then the energy consumption information is distinguished from the facilities in the buildings. And presenting energy consumption information of different places in a layered pie chart mode.

Referring to fig. 3, in the embodiment of fig. 3, the energy consumption information is arranged according to a plurality of energy consumption information and energy consumption information of different regions but the same facility, and is presented in a segmented histogram. In the embodiment of fig. 3, the power consumptions of the taipei, the hiong, the yunlin general ward, the intensive care unit and the operating unit are compared and presented in a segmented histogram manner, so that the manager can compare the power consumptions of the taipei, the hiong, the yunlin general ward, the intensive care unit and the operating unit from the chart at one time.

Referring to fig. 4, in the embodiment of fig. 4, the energy consumption information of different facilities in the same area is compared, and further parameters are added to calculate different data. For the embodiment of fig. 4, the amount of electricity or water used (energy consumption information) may be divided by the number of people or the area of the facility. Further, the average electricity consumption of each person is output, or the electricity consumption and the water consumption of each unit area are output. And the energy consumption information of the ordinary ward, the intensive care ward and the sickroom with the knife opening can be conveniently compared at one time.

Referring to fig. 5, in the embodiment of fig. 5, the energy consumption information of the same monitored device 10 but at different time points is compared and presented as a graph by distinguishing the upper time point from the lower time point, i.e., the month and the day. In the embodiment of fig. 5, the energy consumption curves of the cold water main engine are compared, and the two curves are divided into two curves in a month to observe the daily energy consumption state in the month, and the two curves are placed on the same graph to compare the daily energy consumption change in two months.

Referring to fig. 6, the embodiment of fig. E is a more traditional table, in which the location, the equipment, the power consumption and the electricity fee are used as comparison items. The electricity charge is the charge per unit, so that the report module 122 calculates the monthly electricity charge of the device when generating the energy consumption report information, and the monthly electricity charge is presented in a form, so that the manager can browse the electricity consumption and electricity charge calculation of the devices in different areas.

Thus, as can be seen from the embodiments of fig. 2-6. The report module 122 can select the required energy consumption information, parameters, place tag information, chart mode and other options from the manager when generating the energy consumption report information. Energy consumption information, for example, differentiated by location; or energy consumption information distinguished by time. Thereby generating a report convenient for the manager to browse or compare.

In addition to the statistics module 121 and the reporting module 122, in some embodiments, the server 120 further includes a management module 123 and an alert module 124. The management module 123 is adapted to set authority information of a plurality of managers, that is, if there are a plurality of managers in the energy management system 100, the authority of different managers can be set from the management module 123. The administrator authority information will affect the energy consumption information or energy consumption report information that these administrators can view, for example, the facility supervisor can only view the energy consumption information of the subordinate unit, and cannot view the energy consumption information of other areas, and the administrator at the top can set the authority information of the administrator corresponding to the subordinate through the management module 123.

The alarm module 124 is adapted to determine the received energy consumption information and transmit an alarm message to the administrator device 130 when the energy consumption information exceeds a warning value. That is, the server host 120 can monitor the energy consumption information from each monitoring device 110 through the warning module 124. Once the energy consumption information exceeds the warning value, the warning module 124 immediately sends a warning message to the administrator device 130 to notify the administrator of the next procedure.

The administrator device 130 is a device used by an administrator, such as a personal computer or a smart phone. The administrator device 130 is connected to the server 120, and reads data from the server 120 or sets administrator rights using the management module 123. Therefore, the administrator device 130 can browse the energy consumption information, the energy consumption report information, and the like. That is, the administrator can browse the energy consumption information and the energy consumption report information in the server 120 through the administrator device 130, set the required parameters by using the report module 122, and generate the corresponding energy consumption report information, so that the administrator can conveniently check the state of the monitored device 10.

Referring to fig. 7, fig. 7 is a schematic diagram illustrating an energy management system according to another embodiment. In an embodiment, the monitoring device 110 of the energy management system 100 is further adapted to measure and provide device parameter information from the monitored device 10. The device parameter information is, for example, parameters of the monitored device 10 during operation, such as steam boiler, and includes such parameters as cooking, blowing, draft, charging, furnace temperature, furnace pressure, exhaust temperature and exhaust oxygen content, and in the preferred embodiment, the monitoring device 110 reads and provides the device parameter information every 5 minutes. And the monitoring device 110 reads these parameters from the steam boiler. And transmits the device parameter information to the server host 120.

In the embodiment of fig. 7, the server host 120 further includes a prediction module 125 and an optimization module 126. The prediction module 125 receives device parameter information provided by the monitoring device 110 and calculates predicted parameter information. In the present embodiment, the prediction module 125 uses "e-insensitive parameter-Support vector regression (e-SVR)" to build the prediction model to calculate the prediction parameter information. The prediction module 125 builds a prediction model using the device parameter information received every 5 minutes, predicts device parameters that may occur in the future 5 minutes through repeated learning and correction, and generates predicted parameter information. That is, the prediction module 125 predicts the future state of the monitored device 10 via the device parameter information provided by the monitoring device 110.

The optimization module 126 is adapted to calculate and generate device operation information based on the device parameter information and the predicted parameter information. The device operation information varies depending on the type of the monitored device 10, and the contents of the device operation information are related to the parameters such as cooking fume, air supply, air draft, water supply, furnace temperature, furnace pressure, exhaust temperature, and exhaust oxygen content, for example, in the steam boiler of the above-described embodiment. And the device operation information is a suggested value. In the present embodiment, the Optimization module 126 calculates the device operation information through a Particle Swarm Optimization (PSO).

That is, the monitoring device 110 reads the parameters of the monitored device 10, the prediction module 125 predicts the conditions of the monitored device 10 that may occur in the future, and the optimization module 126 provides the appropriate operating parameter recommendations to make the monitored device 10 operate more efficiently. In a preferred embodiment, the monitored device 10 may further include a fine tuning device 140, wherein the fine tuning device 140 is connected to the server host 120, receives the device operation information calculated by the optimization module 126, and controls the monitored device 10 according to the device operation information, so as to achieve the effect of automatically optimizing the monitored device 10. The fine adjustment device 140 is, for example, a servo motor.

The energy management system 100 of the present invention monitors the energy consumption status of the monitored device 10 through a plurality of monitoring devices 110. The statistical module 121 and the report module 122 of the server 120 collect the energy consumption information of the monitoring device 110, and make the energy consumption report information, and can change the pattern of the energy consumption report information according to the requirement of the manager, so that the manager can control the monitored device 10, thereby saving the time and cost of manual recording and improving the management efficiency of utilities.

The above-described embodiments are merely exemplary for convenience of description, and various modifications may be made by those skilled in the art without departing from the scope of the invention as claimed in the claims.

Claims

1. an energy control and management system, is characterized in that, comprises:

a plurality of monitoring devices, adapted to measure the monitored devices and provide energy consumption information, the monitoring devices are also adapted to measure the monitored devices and provide device parameter information;

A server host, connected to the monitoring device, and receiving the energy consumption information, the server host includes:

Statistics module, to count and store the energy consumption information;

The report module generates energy consumption report information according to the energy consumption information;

a prediction module that receives the device parameter information and calculates the prediction parameter information; and

an optimization module that generates device operation information according to the device parameter information and the predicted parameter information; and

A manager device, connected to the server host, and can browse the energy consumption information and the energy consumption report information;

Wherein, the energy control and management system further includes a fine-tuning device, which is arranged on the monitored device and connected to the servo host, receives the device operation information and operates the monitored device.

2 . The energy control and management system of claim 1 , wherein the monitoring device further comprises location tag information, and the location tag information is transmitted to the server host. 3 .

3 . The energy control and management system of claim 2 , wherein the report module receives the location label information, and generates the energy consumption report information according to the location label information and the energy consumption information. 4 .

4 . The energy control and management system of claim 3 , wherein in the energy consumption report information, each energy consumption information is distinguished by location. 5 .

5 . The energy control and management system of claim 1 , wherein each of the energy consumption information is distinguished by time in the energy consumption report information. 6 .

6 . The energy control and management system of claim 1 , wherein the server host further comprises a management module adapted to set a plurality of administrator rights. 7 .

7 . The energy control and management system of claim 1 , wherein the server host further comprises a warning module adapted to determine the energy consumption information, and when the energy consumption information exceeds a warning value, send warning information to the administrator. 8 . device.

8 . The energy control system of claim 1 , wherein the monitoring device provides the device parameter information every 5 minutes. 9 .

9 . The energy control and management system of claim 1 , wherein the prediction module calculates the prediction parameter information through ∈ insensitive parameter-support vector regression. 10 .

10 . The energy control and management system of claim 1 , wherein the optimization module calculates the device operation information through a particle swarming method. 11 .