CN107807578B - Equipment control method and device - Google Patents
Equipment control method and device Download PDFInfo
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- CN107807578B CN107807578B CN201711130183.9A CN201711130183A CN107807578B CN 107807578 B CN107807578 B CN 107807578B CN 201711130183 A CN201711130183 A CN 201711130183A CN 107807578 B CN107807578 B CN 107807578B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/25—Pc structure of the system
- G05B2219/25257—Microcontroller
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Abstract
The invention discloses a device control method and a device. Wherein, the method comprises the following steps: monitoring the working information of each device in the system; acquiring control data; wherein the control data is obtained by combining the historical experience of system operation and/or the request of a user; and combining the working information and the control data to realize resource allocation for each device. The invention realizes the resource allocation of different equipment in the intelligent equipment network in different time periods and under different conditions, conveniently and safely realizes the resource allocation of the different equipment in the intelligent equipment network without additional hardware equipment.
Description
Technical Field
The invention relates to the technical field of intelligent equipment, in particular to an equipment control method and device.
Background
With the rapid development of the internet of things, the intelligent device gradually replaces the traditional device. With the continuous improvement of the intelligent degree of the equipment, the requirements of people on the management, control, safety and the like of the equipment are higher and higher. Modern equipment is no longer in a single simple state, intelligentization and clustering tend to be trends, adjustment is made to different environments and situations, and the modern equipment also becomes a necessary function of intelligent equipment. In the next step, how to perform reasonable resource allocation adjustment in the whole intelligent device network to achieve the optimal result of high efficiency, energy saving and safety becomes a new trend.
Aiming at the problem of how to reasonably distribute the resources of the intelligent equipment network in the prior art, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides a device control method and a device, which are used for solving the problem of how to reasonably distribute resources of an intelligent device network in the prior art.
In order to solve the technical problem, the present invention provides an apparatus control method, wherein the method includes: monitoring the working information of each device in the system; acquiring control data; wherein the control data is obtained by combining the historical experience of system operation and/or the request of a user; and combining the working information and the control data to realize resource allocation for each device.
Furthermore, each device in the system is divided into a first type device and a second type device according to complexity and importance; wherein the first type of device comprises at least one of: a central air conditioner, a generator and a computer; the second type of device includes at least one of: lighting equipment lamp, air regenerating device.
Further, the control data includes at least one of: the power consumption peak period, the abnormal time period and the preset control time.
Further, in a case that the control data includes a power consumption peak period, for the first type device, in combination with the operation information and the control data, implementing resource allocation for each device, including: determining the load of the second equipment according to the working information; combining the load and the power utilization peak period in the control data to realize resource allocation aiming at the first type of equipment; wherein the resource allocation for the first class of devices comprises: the power demand of the first type of equipment is guaranteed during peak periods of power consumption.
Further, in a case that the control data includes an abnormal time period, for the first type device, in combination with the work information and the control data, implementing resource allocation for each device, including: determining the load of the second equipment according to the working information; combining the load and the abnormal time period in the control data to realize resource allocation aiming at the first type of equipment; wherein the resource allocation for the first class of devices comprises: and ensuring the power-off delay of the first type of equipment in an abnormal time period.
Further, when the control data includes a preset control time, for the second class of devices, in combination with the work information and the control data, implementing resource allocation for each device, including: determining the load of the second equipment according to the working information; combining the load and a preset control time in the control data; implementing resource allocation for a second class of devices; wherein the resource allocation for the second class of devices comprises: turning on or turning off the second type of equipment within preset control time; and combining the working information and the control data to realize resource allocation for each device.
Further, the method further comprises: presetting a plurality of resource allocation schemes for the first type of equipment; wherein each resource allocation scheme corresponds to a preset condition; combining the working information and the control data to realize resource allocation for each device, including: determining a preset condition met by the current running state of the first type of equipment by combining the working information and the control data; and executing a resource allocation scheme corresponding to the preset condition for the first type of equipment.
Further, the working information includes at least one of: working current, working voltage, working power.
The present invention also provides an apparatus control device, wherein the apparatus comprises: the information monitoring module is used for monitoring the working information of each device in the system; the data acquisition module is used for acquiring control data; wherein the control data is obtained by combining the historical experience of system operation and/or the request of a user; and the allocation module is used for combining the working information and the control data to realize resource allocation aiming at each device.
Furthermore, each device in the system is divided into a first type device and a second type device according to complexity and importance; wherein the first type of device comprises at least one of: a central air conditioner, a generator and a computer; the second type of device includes at least one of: lighting equipment lamp, air regenerating device.
Further, the control data includes at least one of: the power consumption peak period, the abnormal time period and the preset control time.
Further, in a case where the control data includes a power usage peak period, the allocation module includes, for the first class of devices: the first distribution unit is used for determining the load of the second equipment according to the working information; combining the load and the power utilization peak period in the control data to realize resource allocation aiming at the first type of equipment; wherein the resource allocation for the first class of devices comprises: the power demand of the first type of equipment is guaranteed during peak periods of power consumption.
Further, in a case where the control data includes an abnormal time period, the allocation module includes, for the first type of device: the second distribution unit is used for determining the load of the second type of equipment according to the work information; combining the load and the abnormal time period in the control data to realize resource allocation aiming at the first type of equipment; wherein the resource allocation for the first class of devices comprises: and ensuring the power-off delay of the first type of equipment in an abnormal time period.
Further, in a case where the control data includes a preset control time, for the second class of devices, the allocating module includes: the third distribution unit is used for determining the load of the second type of equipment according to the working information; combining the load and a preset control time in the control data; implementing resource allocation for a second class of devices; wherein the resource allocation for the second class of devices comprises: turning on or turning off the second type of equipment within preset control time; and combining the working information and the control data to realize resource allocation for each device.
Further, the working information includes at least one of: working current, working voltage, working power.
By applying the technical scheme of the invention, the resource allocation of different equipment in the intelligent equipment network in different time periods and under different conditions is realized, the resource allocation of different equipment in the intelligent equipment network is conveniently and safely realized, and no additional hardware equipment is needed.
Drawings
Fig. 1 is a flowchart of an apparatus control method according to an embodiment of the present invention;
FIG. 2 is a diagram of a device control architecture according to an embodiment of the present invention;
fig. 3 is a block diagram of a configuration of a device control apparatus according to an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the figures and the examples, but without limiting the invention.
The technical scheme of the invention is to detect and manage the whole intelligent equipment network system based on an IEMS system and regulate and control each equipment therein, and is different from simple touch screen switching or timing control. The device is not operated according to one or two factors under a simple single dimension, but all the devices connected to the IEMS system are regarded as a whole, and a whole regulation and control scheme is given so as to achieve an optimal solution. The technical solution of the present invention is described in detail by the preferred embodiments below.
Example one
Fig. 1 is a flowchart of an apparatus control method according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:
step S101, monitoring the working information of each device in the system; wherein the working information may include at least one of: working current, working voltage, working power;
step S102, acquiring control data; wherein, the control data is obtained by combining the historical experience of the system operation and/or the request of a user;
and step S103, combining the working information and the control data to realize resource allocation for each device.
Through the embodiment, the resource allocation of different equipment in the intelligent equipment network in different time periods and under different conditions is realized, the resource allocation of different equipment in the intelligent equipment network is conveniently and safely realized, and no additional hardware equipment is needed.
In this embodiment, each device in the system is classified into a first type device and a second type device according to complexity and importance; wherein the first type of device comprises at least one of: a central air conditioner, a generator and a computer; the second type of device includes at least one of: lighting equipment lamp, air regenerating device. The complexity and importance of the first class of devices is higher than the second class of devices. By classifying the devices, the resource allocation can be performed more definitely, and the resources are allocated to the devices with higher complexity and importance.
The control data may include at least one of: the power consumption peak period, the abnormal time period and the preset control time.
For different control data and different types of devices, how to implement resource allocation of each device is mainly divided into the following:
(1) under the condition that the control data comprise the power utilization peak period, for the first type of equipment, combining the working information and the control data to realize resource allocation aiming at each equipment, wherein the resource allocation comprises the following steps: determining the load of the second equipment according to the working information; the resource allocation aiming at the first type of equipment is realized by combining the load and the power consumption peak period in the control data; wherein the resource allocation for the first class of devices comprises: the power demand of the first type of equipment is guaranteed during peak periods.
(2) Under the condition that the control data comprise abnormal time periods, for the first type of equipment, combining the working information and the control data to realize resource allocation aiming at each equipment, wherein the resource allocation comprises the following steps: determining the load of the second equipment according to the working information; combining the load and the abnormal time period in the control data to realize the resource allocation aiming at the first type of equipment; wherein the resource allocation for the first class of devices comprises: and ensuring the power-off delay of the first type of equipment in the abnormal time period.
(3) Under the condition that the control data comprise preset control time, for the second type of equipment, combining the working information and the control data to realize resource allocation aiming at each equipment, wherein the resource allocation comprises the following steps: determining the load of the second equipment according to the working information; combining the load and the preset control time in the control data; implementing resource allocation for a second class of devices; wherein the resource allocation for the second class of devices comprises: turning on or turning off the second equipment within preset control time; and combining the working information and the control data to realize resource allocation for each device.
Based on the method, the resource allocation of different equipment of the intelligent equipment network can be realized under different conditions at different time periods, the optimal allocation of the resources is ensured, and the normal operation of the equipment is ensured.
For a first type of device, a plurality of resource allocation schemes for the first type of device may be preset, each resource allocation scheme corresponding to a preset condition; determining a preset condition met by the current running state of the first type of equipment by combining the working information and the control data; and executing a resource allocation scheme corresponding to the preset condition for the first type of equipment. Based on this, a proper resource allocation scheme can be matched according to the current running state of the equipment, and the applicability is stronger.
In the embodiment, through an energy information network, detailed information (for example, working current, working voltage, working power and the like) of each device, some proprietary information of a specific device, such as current electric quantity of a storage battery, historical usage and the like, and external environment information (for example, information of peak power consumption, valley power consumption, current power price, power grid load and the like) are monitored and collected in real time and are fed back to an IEMS system together for analysis and processing, and an optimal processing scheme is calculated. Specifically, the method comprises the following steps:
firstly, the IEMS system stores the above-mentioned related device information and external information, so that the system can call different algorithms according to different policies, and calculate two important pieces of judgment information for intelligent control: and firstly, integrating all the information, and obtaining the optimal scheme for equipment operation under the current condition through calculation processing. And secondly, estimating the change trend of the information data in the future according to the historical records, and adjusting the operation scheme of the related equipment in a future period of time by using the change trend as reference information of the future operation scheme of the equipment or by using methods such as timing regulation and control.
The following scenario is assumed: in a laboratory where the system is installed, a plurality of air conditioners, a plurality of mainframe computers and a plurality of lamps are provided. Because the laboratory stores important data information, the user selects a policy for data security. Assuming that the laboratory equipment is kept in full-power operation on a certain day, the IEMS system detects that the load of the power grid suddenly increases due to unknown reasons at the moment and faces the risk of power outage, and in order to ensure data safety, the IEMS system firstly turns off the lamp and increases the temperature of the air conditioner so as to reduce power consumption and reduce the load of the power grid. If the problem is not solved, further adjustments are made, such as turning off the air conditioner or turning off a portion of the computer that does not store important data. If the problem still exists or even is abnormal suddenly, the IEMS system starts an emergency scheme, opens the standby power supply, automatically runs a data protection program, waits for the recovery of the power grid, and runs restart information.
In general, independent scattered equipment is firstly connected into a whole through an intelligent network, then unified management and control are carried out, and the aims of safe, intelligent and efficient operation of the equipment are fulfilled.
Fig. 2 is a diagram of an apparatus control architecture according to an embodiment of the present invention, as shown in fig. 2, the apparatus is divided into a large-scale electric apparatus (e.g., a central air conditioner) and a simple cluster apparatus (e.g., a lighting apparatus), the large-scale electric apparatus is connected to an intelligent processing chip 1, the simple cluster apparatus is connected to an intelligent processing chip 2, and both the intelligent processing chip 1 and the intelligent processing chip 2 are connected to a central processor module through an energy information gateway. Specifically, the method comprises the following steps:
the first kind of large-scale electric equipment (namely the first kind of equipment) connects various operation signals to the intelligent processing chip 1 to realize remote control, and the central processing unit can store a plurality of common control schemes and a plurality of emergency control schemes as a plurality of common control options and automatically or manually select the control options under different conditions.
For large-scale electric equipment, such as a central air conditioner, a generator, a large-scale computer and the like, the electric equipment has the characteristics of complex operation and high power consumption, and partial precise important equipment (such as the large-scale computer) has to guarantee continuous power supply or quit closing according to a certain program according to different power consumption of different use modes. Because complex equipment is relatively complicated to operate, various operating instructions of the equipment and a system need to be connected well. And then, intelligent regulation and control are realized according to actual data, for example, various operations of the air conditioner are set, if the humidity of a certain area is detected to be higher, a dehumidifying instruction is automatically issued, and when the humidity reaches the average level, the humidity is adjusted to be the default level. And the obtained data and the operation record are stored and compared with the historical record, and if the access is larger than the previous record, the data and the operation record are reported to the user, so that the user can conveniently search for specific reasons to see whether the problems of water leakage and the like occur.
And secondly, each lighting device (lamp) is controlled by one switch, all the switches are controlled by the intelligent processing chip 2 to be managed uniformly, and the lighting devices (lamps) are automatically switched on or off according to corresponding information (such as brightness of the area) of the sensors in different areas. Because the part of equipment is complicated, the equipment is generally controlled automatically, and manual control is generally used for testing and troubleshooting.
For simple group of general equipment, such as lighting equipment lamps, ventilation equipment in factories and the like, the type of electric equipment is characterized by simple operation, large quantity and time and trouble for manual single operation. Assuming a scenario where hundreds of lamps are turned on and off as needed in a large plant, detecting anomalies is a very labor intensive and difficult task. The realization of the part firstly needs to access the switching signals of each device into the intelligent gateway, and simple scene application, for example, each part is grouped according to specific conditions in a large factory area, then unified switching is carried out, then when some device in the current area, such as a ventilation fan, needs to be saved and opened, the device is excluded from the unified switching, and is set to be in a normally open state, and device abnormity monitoring is carried out. Upon failure of the device, a warning can be issued to make the user aware of it for the first time.
In the above-described architecture shown in fig. 2, the energy information gateway collects detailed specific information of each different device of each type through an intelligent processing chip at each location, sends the detailed specific information to the central processing unit module, calculates an optimal processing mode according to an algorithm, and feeds back the obtained result to each module, thereby realizing free and effective utilization of resources.
The realization of the technical scheme needs a large number of control chip sensors as hardware support, and if the realization is limited by cost, the automation control aspect of large-scale equipment can be fixed at an intelligent processing chip, so that a certain large-scale equipment can be selected by a plurality of fixed schemes. And (4) uniformly managing the small equipment partitions and blocks of the cluster. The advantage of this is that the number of various processor sensors and the requirement of all chips of large-scale equipment are reduced, and the cost is greatly saved.
Example two
Corresponding to the device control method introduced in fig. 1, the present embodiment provides a device control apparatus, as shown in a block diagram of the structure of the device control apparatus shown in fig. 3, the apparatus including:
the information monitoring module 10 is used for monitoring the working information of each device in the system; the working information may include at least one of: working current, working voltage, working power;
the data acquisition module 20 is connected to the information monitoring module 10 and is used for acquiring control data; wherein, the control data is obtained by combining the historical experience of the system operation and/or the request of a user;
and the allocation module 30 is connected to the data acquisition module 20 and is used for realizing resource allocation for each device by combining the working information and the control data.
Through the embodiment, the resource allocation of different equipment in the intelligent equipment network in different time periods and under different conditions is realized, the resource allocation of different equipment in the intelligent equipment network is conveniently and safely realized, and no additional hardware equipment is needed.
In this embodiment, each device in the system is classified into a first type device and a second type device according to complexity and importance; wherein the first type of device comprises at least one of: a central air conditioner, a generator and a computer; the second type of device includes at least one of: lighting equipment lamp, air regenerating device. The complexity and importance of the first class of devices is higher than the second class of devices. By classifying the devices, the resource allocation can be performed more definitely, and the resources are allocated to the devices with higher complexity and importance.
The control data may include at least one of: the power consumption peak period, the abnormal time period and the preset control time.
For different control data and different types of devices, how to implement resource allocation of each device, this embodiment provides a preferred implementation manner, that is, the allocation module 30 includes:
the first distribution unit is used for determining the load of the second equipment according to the working information; the resource allocation aiming at the first type of equipment is realized by combining the load and the power consumption peak period in the control data; wherein the resource allocation for the first class of devices comprises: ensuring the power demand of the first equipment during the peak period of power utilization;
the second distribution unit is used for determining the load of the second type of equipment according to the work information; combining the load and the abnormal time period in the control data to realize the resource allocation aiming at the first type of equipment; wherein the resource allocation for the first class of devices comprises: ensuring the power-off delay of the first equipment in an abnormal time period;
the third distribution unit is used for determining the load of the second type of equipment according to the working information; combining the load and the preset control time in the control data; implementing resource allocation for a second class of devices; wherein the resource allocation for the second class of devices comprises: turning on or turning off the second equipment within preset control time; and combining the working information and the control data to realize resource allocation for each device.
Based on the method, the resource allocation of different equipment of the intelligent equipment network can be realized under different conditions at different time periods, the optimal allocation of the resources is ensured, and the normal operation of the equipment is ensured.
From the above description, it can be seen that the main technical effects of the present invention are as follows:
(1) resources can be reasonably and automatically distributed aiming at a high-load time period, so that the production and safety of equipment are ensured;
(2) the resource adjustment and processing can be carried out on the abnormal and special conditions in time.
Of course, the above is a preferred embodiment of the present invention. It should be noted that, for a person skilled in the art, several modifications and refinements can be made without departing from the basic principle of the invention, and these modifications and refinements are also considered to be within the protective scope of the invention.
Claims (14)
1. An apparatus control method, characterized in that the method comprises:
monitoring the working information of each device in the system; each device in the system is divided into a first type device and a second type device according to complexity and importance;
acquiring control data; wherein the control data is obtained by combining the historical experience of system operation and/or the request of a user;
combining the working information and the control data to realize resource allocation for each device;
the method further comprises the following steps: presetting a plurality of resource allocation schemes for the first type of equipment; wherein each resource allocation scheme corresponds to a preset condition;
combining the working information and the control data to realize resource allocation for each device, including: determining a preset condition met by the current running state of the first type of equipment by combining the working information and the control data; and executing a resource allocation scheme corresponding to the preset condition for the first type of equipment.
2. The method of claim 1, wherein the first type of device comprises at least one of: a central air conditioner, a generator and a computer; the second type of device includes at least one of: lighting equipment lamp, air regenerating device.
3. The method of claim 2, wherein the control data comprises at least one of: the power consumption peak period, the abnormal time period and the preset control time.
4. The method of claim 3, wherein in the case that the control data comprises a power consumption peak period, implementing, for the first class of devices, resource allocation for the respective devices in combination with the operation information and the control data comprises:
determining the load of the second equipment according to the working information;
combining the load and the power utilization peak period in the control data to realize resource allocation aiming at the first type of equipment; wherein the resource allocation for the first class of devices comprises: the power demand of the first type of equipment is guaranteed during peak periods of power consumption.
5. The method according to claim 3, wherein in the case that the control data includes an abnormal time period, implementing, for the first type of device, resource allocation for each device in combination with the operation information and the control data includes:
determining the load of the second equipment according to the working information;
combining the load and the abnormal time period in the control data to realize resource allocation aiming at the first type of equipment; wherein the resource allocation for the first class of devices comprises: and ensuring the power-off delay of the first type of equipment in an abnormal time period.
6. The method according to claim 3, wherein in the case that the control data includes a preset control time, implementing, for the second class of devices, resource allocation for each device in combination with the working information and the control data includes:
determining the load of the second equipment according to the working information;
combining the load and a preset control time in the control data; implementing resource allocation for a second class of devices; wherein the resource allocation for the second class of devices comprises: turning on or turning off the second type of equipment within preset control time;
and combining the working information and the control data to realize resource allocation for each device.
7. The method of claim 1, wherein the operational information includes at least one of: working current, working voltage, working power.
8. An apparatus control device, characterized in that the device comprises:
the information monitoring module is used for monitoring the working information of each device in the system; each device in the system is divided into a first type device and a second type device according to complexity and importance;
the data acquisition module is used for acquiring control data; wherein the control data is obtained by combining the historical experience of system operation and/or the request of a user;
the allocation module is used for combining the working information and the control data to realize resource allocation aiming at each device; the method is specifically used for: determining a preset condition met by the current running state of the first type of equipment by combining the working information and the control data; executing a resource allocation scheme corresponding to the preset condition for the first type of equipment; presetting a plurality of resource allocation schemes for first-class equipment; wherein each resource allocation scheme corresponds to a preset condition.
9. The apparatus of claim 8, wherein the first type of device comprises at least one of: a central air conditioner, a generator and a computer; the second type of device includes at least one of: lighting equipment lamp, air regenerating device.
10. The apparatus of claim 9, wherein the control data comprises at least one of: the power consumption peak period, the abnormal time period and the preset control time.
11. The apparatus of claim 10, wherein in the case that the control data comprises a power usage peak period, the assignment module comprises, for the first class of devices:
the first distribution unit is used for determining the load of the second equipment according to the working information; combining the load and the power utilization peak period in the control data to realize resource allocation aiming at the first type of equipment; wherein the resource allocation for the first class of devices comprises: the power demand of the first type of equipment is guaranteed during peak periods of power consumption.
12. The apparatus of claim 10, wherein in the case that the control data comprises an abnormal time period, the assignment module comprises, for the first class of devices:
the second distribution unit is used for determining the load of the second type of equipment according to the work information; combining the load and the abnormal time period in the control data to realize resource allocation aiming at the first type of equipment; wherein the resource allocation for the first class of devices comprises: and ensuring the power-off delay of the first type of equipment in an abnormal time period.
13. The apparatus of claim 10, wherein in the case that the control data comprises a preset control time, the allocating module comprises, for the second class of devices:
the third distribution unit is used for determining the load of the second type of equipment according to the working information; combining the load and a preset control time in the control data; implementing resource allocation for a second class of devices; wherein the resource allocation for the second class of devices comprises: turning on or turning off the second type of equipment within preset control time; and combining the working information and the control data to realize resource allocation for each device.
14. The apparatus of claim 8, wherein the operational information comprises at least one of: working current, working voltage, working power.
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| CN101800439B (en) * | 2009-12-23 | 2012-05-23 | 刘瑜 | Electric management device for household appliance |
| JP2012094077A (en) * | 2010-10-28 | 2012-05-17 | Toshiba Corp | Household energy management system |
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