CN114562452B - Method, system, device and medium for controlling industrial equipment - Google Patents
Method, system, device and medium for controlling industrial equipment Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B49/00—Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
- F04B49/06—Control using electricity
- F04B49/065—Control using electricity and making use of computers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B51/00—Testing machines, pumps, or pumping installations
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
Embodiments of the present disclosure relate to a method, apparatus, and medium for controlling industrial equipment in an industrial equipment station. The method comprises the following steps: acquiring actual power of industrial equipment operating in the industrial equipment station at an edge server within a predetermined time period; calculating an average power of the industrial equipment station within the predetermined time period based on the obtained actual power; configuring the combination of industrial devices such that the combined output power of the industrial devices corresponds to the calculated average power; acquiring an upper limit early warning value and a lower limit early warning value of an output index value of the industrial equipment station; monitoring an output index value of the industrial equipment station; and adjusting the industrial equipment operated in the industrial equipment station to be the combination of the industrial equipment when the monitored output index value is higher than the upper limit early warning value or lower than the lower limit early warning value.
Description
Technical Field
The present disclosure relates generally to control of industrial equipment, and in particular, to methods, systems, computing devices, and computer storage media for controlling industrial equipment in an industrial equipment station.
Background
Industrial equipment such as filters, air compressors, freeze dryers, suction dryers are used to provide air source power and are the core equipment of pneumatic systems. At present, industrial equipment such as filters, air compressors, refrigeration dryers and suction dryers are widely used in various industries and become one of the core devices in related enterprise equipment. Based on the requirements of environmental protection and energy conservation, in the control system of the air compressor, how to reduce meaningless waste to the maximum extent, such as ensuring stable inlet and outlet pressure and stable flow in the compression process, and finally achieving the purpose of energy conservation, is a problem that needs to be mainly solved by the control system on the premise of meeting the normal production requirements.
Conventional solutions for controlling one or more industrial devices in an industrial plant station are, for example: the output of the air compressor is controlled based on a PID control technology, namely, the proportion, the integral and the differential of an error generated by comparing a value obtained according to real-time data of the controlled air compressor with a target given value are controlled so as to enable the air compressor to reach a stable operation state. Although the control scheme based on the PID control technology has the advantages of simple principle, strong robustness and the like, the PID control technology calculates the deviation between the actual output and the target given value based on the current feedback output, and adjusts the deviation by a specific method, so that a certain delay exists in the adjustment command, and in addition, the target given value of the air compressor is usually not constant, for example, the target given value of the air compressor is changed according to the change of working conditions, so that the fluctuation of the output pressure and flow of the industrial equipment is large, and the output pressure and flow of the industrial equipment are difficult to be kept in a stable state.
In conclusion, the traditional scheme for controlling the air compressor station has the problem that the air compressor can be passively controlled only according to the feedback of the air pressure fluctuation of the dynamic pipe network.
Disclosure of Invention
In view of the above problems, the present disclosure provides a method, a system, a computing device, and a computer-readable storage medium for controlling an industrial device in an industrial device station, which can implement "active control" of the industrial device station, so as to combine an air compressor to supply air in an optimal manner based on an air demand characteristic, reduce pressure fluctuation of a pipe network, and achieve an energy saving purpose.
According to a first aspect of the present disclosure, there is provided a method for controlling industrial equipment in an industrial equipment station, comprising: acquiring actual power of industrial equipment operating in the industrial equipment station at an edge server within a predetermined time period; calculating an average power of the industrial equipment station within the predetermined time period based on the obtained actual power; configuring the combination of industrial devices such that the combined output power of the industrial devices corresponds to the calculated average power; acquiring an upper limit early warning value and a lower limit early warning value of an output index value of the industrial equipment station; monitoring an output index value of the industrial equipment station; and adjusting the industrial equipment operated in the industrial equipment station to be the combination of the industrial equipment when the monitored output index value is higher than the upper limit early warning value or lower than the lower limit early warning value.
According to a second aspect of the present disclosure, there is provided a computing device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of the first aspect of the disclosure.
In a third aspect of the present disclosure, a non-transitory computer readable storage medium is provided having stored thereon computer instructions for causing a computer to perform the method of the first aspect of the present disclosure.
In one embodiment, adjusting the industrial equipment operating in the industrial equipment station to the combination of industrial equipment comprises: obtaining one or more combinations of the industrial equipment; determining whether the one or more combinations of acquired industrial equipment include industrial equipment operating in the industrial equipment station; and in response to the one or more combinations including an industrial device operating in the industrial device station, selecting the combination to adjust an industrial device operating in the industrial device station.
In one embodiment, adjusting the industrial equipment operating in the industrial equipment station to the combination of industrial equipment comprises: in response to the one or more combinations not including the industrial equipment operating in the industrial equipment station, selecting a combination of the one or more combinations having an output power closest to the average power to adjust the industrial equipment operating in the industrial equipment station.
In one embodiment, configuring the combination of industrial devices comprises: obtaining the calculated average power of the industrial equipment; acquiring a power matching scheme corresponding to the average power; and configuring a combination of the industrial devices based on the obtained power matching scheme.
In one embodiment, configuring the combination of industrial devices further comprises: acquiring a standard performance curve of the industrial equipment station; performing a fit to a standard performance curve of the industrial equipment station to obtain a relationship between an average power and an output index value for the industrial equipment station; determining the output power of the industrial equipment station in the next preset time period based on the relation between the average power and the output index value of the industrial equipment station; and configuring a combination of the industrial devices based on the determined output power.
In one embodiment, configuring the combination of industrial devices further comprises: determining the output power of the industrial equipment and the hardware cost of the industrial equipment per unit time; determining the output power of the industrial equipment and the energy consumption cost of the industrial equipment per unit time; determining an optimal usage duration of the industrial equipment based on the determined hardware cost and energy consumption cost; and configuring the combination of industrial equipment based on the determined optimal usage duration.
According to a fourth aspect of the present disclosure, there is provided a system for controlling industrial equipment in an industrial equipment station, comprising: a power meter configured to obtain actual power of industrial equipment operating in the industrial equipment station within a predetermined time period; an output sensor configured to monitor an output indicator value of the industrial equipment station; and an edge server configured to: calculating an average power of the industrial equipment station within the predetermined time period based on the obtained actual power; configuring the combination of industrial devices such that the combined output power of the industrial devices corresponds to the calculated average power; acquiring an upper limit early warning value and a lower limit early warning value of an output index value of the industrial equipment station; and adjusting the industrial equipment operated in the industrial equipment station to be the combination of the industrial equipment when the monitored output index value is higher than the upper limit early warning value or lower than the lower limit early warning value.
In one embodiment, the edge server is further configured to: obtaining one or more combinations of the industrial equipment; determining whether the one or more combinations of acquired industrial equipment include industrial equipment operating in the industrial equipment station; and in response to the one or more combinations including an industrial device operating in the industrial device station, selecting the combination to adjust the industrial device operating in the industrial device station.
In one embodiment, the edge server is further configured to: in response to the one or more combinations not including the industrial equipment operating in the industrial equipment station, selecting a combination of the one or more combinations having an output power closest to the average power to adjust the industrial equipment operating in the industrial equipment station.
In one embodiment, the edge server is further configured to: obtaining the calculated average power of the industrial equipment; acquiring a power matching scheme corresponding to the average power; and configuring a combination of the industrial devices based on the obtained power matching scheme.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
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The above and other features, advantages and aspects of embodiments of the present disclosure will become more apparent upon consideration of the following detailed description, taken in conjunction with the accompanying drawings. In the drawings, like or similar reference characters designate like or similar elements.
Fig. 1 shows a schematic diagram of a system for implementing a method for controlling industrial equipment of an industrial equipment station according to an embodiment of the invention.
Fig. 2 shows a flow diagram of a method 200 for controlling industrial equipment in an industrial equipment station according to an embodiment of the present disclosure.
Fig. 3 shows a flow diagram of a method 300 of adjusting an industrial device operating in an industrial device station to a combination of industrial devices according to an embodiment of the disclosure.
FIG. 4 shows a flow diagram of a method 400 of configuring a combination of industrial devices, according to an embodiment of the disclosure.
Fig. 5 illustrates a block diagram of a system 500 for controlling industrial equipment in an industrial equipment station, in accordance with an embodiment of the present disclosure.
FIG. 6 illustrates a schematic block diagram of an example electronic device 600 that can be used to implement embodiments of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
The term "include" and variations thereof as used herein is meant to be inclusive in an open-ended manner, i.e., "including but not limited to". Unless specifically stated otherwise, the term "or" means "and/or". The term "based on" means "based at least in part on". The terms "one example embodiment" and "one embodiment" mean "at least one example embodiment". The term "another embodiment" means "at least one additional embodiment". The terms "first," "second," and the like may refer to different or the same object. Other explicit and implicit definitions are also possible below.
As described above, the conventional solution for controlling the industrial equipment in the industrial equipment station is to control the output of the air compressor based on the PID control technology, that is, to obtain the proportional, integral and derivative of the error generated by comparing the value with the target set value according to the real-time data of the controlled air compressor, so as to make the air compressor reach the stable operation state. Although the control scheme based on the PID control technology has the advantages of simple principle, strong robustness and the like, the PID control technology calculates the deviation between the actual output and the target given value based on the current feedback output, and adjusts the deviation by a specific method, so that the adjustment command has a certain delay, and the target given value of the air compressor is usually not constant, for example, the target given value of the air compressor changes according to the change of working conditions, so that the fluctuation of the output pressure and flow of the air compressor is large, and the air compressor is difficult to be kept in a stable state.
For example, this results in fluctuations in the pressure of the grid, since there is generally a certain difference between the output and input values of the industrial plant station. The reason of fluctuation is that because most of the current control logics are 'passive control', the actual gas utilization demand cannot be known, and only through pressure feedback, the gas production is found to be larger than the demand, and one industrial device (such as an air compressor) is unloaded or stopped; if the demand is found to be greater than the gas production, an industrial device (such as an air compressor) is loaded or turned on.
To address, at least in part, one or more of the above problems, as well as other potential problems, example embodiments of the present disclosure propose a solution for controlling industrial equipment in an industrial equipment station. Particularly, the scheme is that the average total power of the compression industrial equipment stations is monitored in real time, the industrial equipment units meeting the average total power range are periodically matched and started, and the output quantity of the industrial equipment stations is matched with the input quantity of a production workshop, so that the gas utilization requirement is met, the pipeline pressure is stable, the no-load of the air compressor is reduced, the energy consumption of the air compression station is reduced, the air compressor is actively controlled, and the energy-saving effect of the operation of the air compressor is realized.
Fig. 1 shows a schematic diagram of a system for implementing a method for controlling industrial equipment of an industrial equipment station according to an embodiment of the invention. As shown in fig. 1, the system includes a computing device 110 and an industrial device data management device 130 and a network 140. The computing device 110 and the industrial device data management device 130 can interact with each other via a network 140 (e.g., the internet).
The industrial equipment data management device 130, for example, may store and acquire a plurality of types of different air compressor data, for example, sensor data of a flow sensor for detecting an instantaneous flow rate of a main pipe in an air compressor station, for example, and store the same. The flow sensor may acquire the instantaneous flow rate of the mother pipe in the air compression station according to a set predetermined time interval, for example, 30s, 1 minute, 5 minutes. As described above, although the real-time gas production rate and the gas demand of the air compression station are different, if the observed time window is enlarged to be more than half an hour or an hour, the actual gas production rate and the gas demand of the air compression station at this time are almost the same. Thus, the instantaneous flow rate of the mother pipe in the air compression station may be approximately equal to the currently required gas production. Based on the principle, the gas consumption demand characteristics under the corresponding working conditions can be automatically excavated from the historical gas consumption data of the air compression station through the time series model, and the air compressor is combined in an optimal mode to supply gas based on the gas consumption demand characteristics, so that the aim of saving energy is finally fulfilled. The industrial equipment data management device 130 may also receive the determined air compressor adjustment command from the computing device 110, so as to adjust the air compressor of the air compression station, so as to maintain the air compression station in the optimal operating state.
Regarding the computing device 110, for example, for receiving air compressor data from the industrial equipment data management device 130, such as an instantaneous flow rate of a main pipe of the air compressor station corresponding to a predetermined time interval; thereby predicting the gas production rate of the air compressor based on the acquired flow rate. Computing device 110 may have one or more processing units, including special purpose processing units such as GPUs, FPGAs, ASICs, and the like, as well as general purpose processing units such as CPUs. Additionally, one or more virtual machines may also be running on each computing device 110. In some embodiments, the computing device 110 and the industrial device data management device 130 can be integrated or can be separate from each other. In some embodiments, computing device 110 includes, for example, an acquisition module 112, a calculation module 114, a configuration module 116, an acquisition module 118, a monitoring module 120, and an adjustment module 122.
An obtaining module 112, the obtaining module 112 configured to obtain an actual power of an industrial device operating in the industrial device station within a predetermined time period.
A calculation module 114, the calculation module 114 configured to calculate an average power of the industrial equipment station over the predetermined time period based on the obtained actual power.
A configuration module 116, the configuration module 116 configured to configure the combination of industrial devices such that the combined output power of the industrial devices corresponds to the calculated average power.
An obtaining module 118, wherein the obtaining module 118 is configured to obtain an upper limit early warning value and a lower limit early warning value of the output index value of the industrial equipment station.
A monitoring module 120, the monitoring module 120 configured to monitor an output indicator value of the industrial equipment station.
An adjustment module 122, the adjustment module 122 configured to adjust the industrial equipment operating in the industrial equipment station to the combination of the industrial equipment in response to the monitored output indicator value being higher than the upper warning limit or lower than the lower warning limit.
Fig. 2 shows a flow diagram of a method 200 for controlling industrial equipment in an industrial equipment station according to an embodiment of the present disclosure. The method 200 may be performed by the computing device 110 as shown in FIG. 1, or may be performed at the electronic device 600 shown in FIG. 6. It should be understood that method 200 may also include additional blocks not shown and/or may omit blocks shown, as the scope of the present disclosure is not limited in this respect.
In the present disclosure, the industrial equipment may be industrial equipment for outputting various kinds of index values, such as an air compressor, and the industrial equipment station may be an industrial equipment station including one or more industrial equipments and outputting the industrial equipment in cooperation, such as an air compressor station. The industrial equipment may include any of a filter, an air compressor, a freeze dryer, a suction dryer, and the industrial equipment may include any of a filtration station, an air compressor station, a freeze dryer station, a suction dryer station. For the sake of brevity, the present disclosure takes an air compressor and an air compressor station as examples for illustration.
In step 202, the computing device 110 may obtain the actual power of the industrial devices operating in the industrial device station for a predetermined period of time.
In one embodiment, the predetermined time period may be a time period set by a user based on actual operating characteristics of the industrial equipment station, such as 10 minutes, 30 minutes, 1 hour, or 3 hours, etc. The computing device 110 can obtain the actual power of one or more industrial devices operating in the industrial device station within the set or received predetermined time period. For example, an industrial equipment station includes five industrial equipments. The power meter may obtain the power of each industrial device. If only three industrial devices are currently operating, actual operating power, i.e., actual power, of the three industrial devices is acquired.
In step 204, the computing device 110 may calculate an average power of the industrial device standing for the predetermined time period based on the obtained actual power.
In one embodiment, the computing device 110 can calculate the average power of the industrial device standing for the predetermined period of time based on the actual power of the one or more industrial devices actually operating acquired in step 202. For example, during a predetermined time period, there are three industrial devices operating, actual operating powers of the three industrial devices are acquired, and an average operating power of the three industrial devices is calculated based on an average calculation. The calculated average operating power may be taken as the average power of the industrial equipment standing for the predetermined time period.
Note that during the predetermined time period, there may be on and off of a plurality of industrial devices, that is, there may be 1 industrial device operation, 2 industrial device operations, 5 industrial device operations, and the like for a period of 10 minutes for an industrial device station including five industrial devices. In such a case where there are multiple industrial equipment turned on and off within a cycle, the total power of the industrial equipment station can be calculated at each acquisition time point of the acquired power. And finally, calculating the total power of the industrial equipment stations in the whole preset time period based on the total power of each acquisition time point.
In step 206, the computing device 110 can configure the combination of industrial devices such that the combined output power of the industrial devices corresponds to the calculated average power.
In one embodiment, the computing device 110 can receive a combined ranking for industrial devices sent from an external server or external user or receive a requirement to configure a combined ranking for industrial devices. For example, the loading power of an industrial plant station comprising five industrial plants may be as follows: no. 1 air compressor machine (industrial equipment) loading power 160kW, No. 2 air compressor machine loading power 200kW, No. 3 air compressor machine loading power is 200kW, No. 4 air compressor machine loading power is 250kW, and No. 5 air compressor machine loading power is 180 kW. In step 204, the calculated average total power of the air compression stations (industrial equipment stations) in the period is 400kW, two combinations can be configured to satisfy the average total power, that is, a) air compressor No. 1 & air compressor No. 4 with a total power of 410 kW; or b) the No. 2 air compressor and the No. 3 air compressor are combined, and the total power of the air compressor is 400 kW. This combination may be sent directly by an external server or external user, or may be calculated and configured by the computing device based on the power of each industrial device, such that the combined output power of the configured industrial devices corresponds to the calculated average power.
Note that the combined output power of the configured industrial devices corresponds to the calculated average power without the need for the combined output power of the configured industrial devices to be exactly equal to the calculated average power (average total power). The combined output power of the configured industrial devices need only be within a threshold range of the calculated average power (average total power) to be considered corresponding. The average total power of the mechanical system stations is 400kW, while a threshold range, for example 95-105%, can be set for this average total power, and combinations of industrial plants at 380 kW-420 kW of output power can be considered to correspond to the calculated average power. The threshold range may be set by a user or received from an external server, which may be dynamically adjusted based on the output of the mechanical system station.
In one embodiment, the computing device 110 obtains the average power of the one or more industrial devices calculated in step 204. The computing device 110 may then obtain a power matching scheme corresponding to the average power. The scenario may include a threshold range of power corresponding to the average power or a combination of industrial devices. Finally, the computing device 110 can configure the combination of industrial devices based on the obtained power matching scheme. The combined output power of the industrial equipment corresponds to the calculated average power of the industrial equipment stations.
In step 208, the computing device 110 may obtain an upper warning limit and a lower warning limit of the output index value of the industrial equipment station.
In one embodiment, in the case where the industrial equipment is an air compressor and the industrial equipment station is an air compressor station, the computing device 110 may acquire an upper limit warning value and a lower limit warning value of an output index value, such as an output pressure, of the industrial equipment station. The upper warning limit and the lower warning limit may be set by a user or transmitted by an external server. For example, the upper warning value may be 6bar and the lower warning value may be 7 bar. This represents the need to adjust the industrial equipment in the industrial plant station when the output pressure fluctuations exceed 6bar upwards or 7bar downwards.
In step 210, the computing device 110 may monitor the output index value of the industrial plant station.
In one embodiment, the computing device 110 may monitor output index values, such as output pressure values, of industrial equipment stations, such as air compression stations, using sensors.
In step 212, the computing device 110 may adjust the industrial devices operating in the industrial device station to the combination of industrial devices in response to the monitored output indicator value being higher than the upper warning limit or lower than the lower warning limit.
In one embodiment, in response to the monitored output indicator value being above the upper warning limit or below the lower warning limit, the computing device 110 adjusts the industrial devices operating in the industrial device station to the combination of industrial devices determined in step 206. For example, when the upper limit warning value is triggered, the computing device 110 may adjust the running air compressors No. 2 and No. 4 to turn off the air compressor No. 4, and simultaneously search for an air compressor unit having a total power of 400kW after being matched with the air compressor No. 2, that is, a combination b), that is, turn on the air compressor No. 3. At the moment, the flow of the main pipe reaches supply and demand matching, the pressure fluctuation of the main pipe is stabilized, the unloading of the air compressor is reduced, and the energy consumption of the air compressor station is reduced.
By the aid of the technical means, the total power of the compressed air system is monitored in real time, the air compressors needing to be started are dynamically matched, and reasonable matching of required flow is achieved. Therefore, the main pipe realizes pressure stabilization air supply, the no-load of the air compressor is reduced, and the energy consumption of the air compression station is reduced.
FIG. 3 illustrates a flow diagram of a method 300 of adjusting an industrial device operating in an industrial device station to a combination of industrial devices, according to an embodiment of the disclosure. The method 300 may be performed by the computing device 110 as shown in FIG. 1, or may be performed at the electronic device 600 shown in FIG. 6. It should be understood that method 300 may also include additional blocks not shown and/or may omit blocks shown, as the scope of the disclosure is not limited in this respect.
In step 302, the computing device 110 may obtain one or more combinations of the industrial devices.
In one embodiment, the computing device 110 may obtain one or more combinations of industrial devices determined in the method 200. As described above, industrial equipment that meets an output power corresponding to the calculated average power of the industrial equipment stations may have one or more combinations.
For example in case of an average total power of 400kW, it is possible to have two combinations, a) air compressor No. 1 & air compressor No. 4 with a total power of 410 kW; or b) the No. 2 air compressor and the No. 3 air compressor are combined, and the total power of the air compressor is 400 kW.
In step 304, the computing device 110 can determine whether one or more combinations of the obtained industrial devices include an industrial device operating in the industrial device station.
In one embodiment, the computing device 110 can determine whether one or more combinations of industrial devices acquired in step 302 include an industrial device that is currently running in the industrial device station. For example, air compressors # 1, air compressors # 3 and air compressors # 5 may be operated in current industrial plant stations. It can thus be determined that the combination a) includes the industrial equipment, i.e. air compressor # 1, which is now operating in the industrial equipment station.
In step 306, the computing device 110 can select the combination to adjust the industrial device operating in the industrial device station in response to the one or more combinations including the industrial device operating in the industrial device station.
In one embodiment, in response to one or more combinations, such as combinations a) and b), including an industrial plant, such as air compressor # 1, being operated in the industrial plant station, the combination including air compressor # 1 is selected to adjust the industrial plant operated in the industrial plant station, i.e., combination a) is selected to adjust the industrial plant station.
In another embodiment, the computing device 110 can also select a combination of the one or more combinations that has an output power closest to the average power to adjust the industrial device operating in the industrial device station in response to the one or more combinations not including the industrial device operating in the industrial device station.
For example, if none of the one or more combinations of a) and b) include an industrial device operating in the industrial device station, then the computing device 110 can select the combination of combinations having the closest output power to the average power to adjust the industrial device operating in the industrial device station. For example, combination b) air compressor No. 2 & air compressor No. 3, whose total power is 400kW, is closer to the average total power of the industrial plant station, so combination b) can be selected to adjust the industrial plant running in the industrial plant station, i.e. to turn off the running industrial plant (air compressor) and turn on air compressors No. 2 and No. 3.
By utilizing the technical means, the gas utilization demand characteristics of the air compression station under the corresponding working conditions can be automatically excavated through the acquired historical gas utilization data of the air compression station, and the air compressor combination is optimized in advance according to the gas utilization demand characteristics, so that the gas production is close to the actual demand, and the active control is carried out. Based on the characteristics of gas demand, the air compressors are combined in an optimal mode to supply gas, so that the pressure fluctuation of a pipe network is reduced, and the aim of saving energy is fulfilled.
FIG. 4 shows a flow diagram of a method 400 of configuring a combination of industrial devices, according to an embodiment of the disclosure. The method 400 may be performed by the computing device 110 as shown in FIG. 1, or may be performed at the electronic device 600 shown in FIG. 6. It should be understood that method 400 may also include additional blocks not shown and/or may omit blocks shown, as the scope of the disclosure is not limited in this respect.
In step 402, the computing device 110 may include obtaining a standard performance curve for the industrial equipment station.
For an industrial equipment station including each type of industrial equipment, the performance of which is degraded with the use time, a standard performance curve of the equipment is obtained from the experimental results in an experiment before the equipment is shipped out.
In step 404, the computing device 110 can perform a fit to a standard performance curve of the industrial equipment station to obtain a relationship between an average power and an output index value for the industrial equipment station.
As described above, for an industrial equipment station including each type of industrial equipment, the performance thereof decreases with the use time (i.e., the pressure difference increases with the use time), and therefore, in order to maintain the same output index value (e.g., gas production amount, gas filtration amount, etc.), the industrial equipment must increase the operating power, i.e., the average power, and the power consumption increases accordingly. To maintain the same yield, the power consumption of an industrial plant may be non-linear with respect to its time of use, however in most cases it is sufficient to use a linear fit to represent the relationship. Thus, herein, for the sake of simplicity, a linear fit may be made to the standard performance curve of an industrial plant to obtain the relation between the average power and the output index value of the industrial plant station.
In step 406, the computing device 110 can determine an output power of the industrial equipment station for a next predetermined time period based on the relationship between the average power and the output index value for the industrial equipment station.
Since the output of the industrial equipment station may fluctuate over time during a predetermined time period, causing the output index value (e.g., gas production) of the industrial equipment station to be higher than a predetermined upper limit value or lower than a predetermined lower limit value, the power that the industrial equipment station should output for the next predetermined time period may be acquired using the relationship between the average power of the industrial equipment station acquired as described above and the output index value, thereby stabilizing the output index value of the industrial equipment station within a predetermined range. The determined power may be less than a theoretical power of the industrial equipment station.
In step 408, the computing device 110 may configure the combination of industrial devices based on the determined output power such that the combination of industrial devices is stable to output a desired output indicator value (e.g., gas production) for a next predetermined time period.
In another embodiment, configuring a combination of industrial devices can further include determining an output power of the industrial device and a hardware cost per unit time of the industrial device and determining an output power of the industrial device and an energy consumption cost per unit time of the industrial device.
The computing device 110 can determine an optimal usage duration for the industrial device based on the determined hardware cost and energy consumption cost, and ultimately configure a combination of the industrial devices based on the determined optimal usage duration.
Fig. 5 illustrates a block diagram of a system 500 for controlling industrial equipment in an industrial equipment station, in accordance with an embodiment of the present disclosure. It should be understood that system 500 may also include additional blocks not shown and/or may omit blocks shown, as the scope of the present disclosure is not limited in this respect.
In one embodiment, a system 500 for controlling industrial equipment in an industrial equipment station includes:
a power meter 502, the power meter 502 configured to obtain an actual power of an industrial device operating in the industrial device station within a predetermined time period.
An output sensor 504, the output sensor 504 configured to monitor an output index value of the industrial equipment station.
An edge server 506, the edge server 506 configured to: calculating an average power of the industrial equipment station within the predetermined time period based on the obtained actual power; configuring the combination of industrial devices such that the combined output power of the industrial devices corresponds to the calculated average power; acquiring an upper limit early warning value and a lower limit early warning value of an output index value of the industrial equipment station; and adjusting the industrial equipment operated in the industrial equipment station to be the combination of the industrial equipment when the monitored output index value is higher than the upper limit early warning value or lower than the lower limit early warning value.
In one embodiment, the edge server may be further configured to: obtaining one or more combinations of the industrial equipment; determining whether the one or more combinations of acquired industrial equipment include industrial equipment operating in the industrial equipment station; and in response to the one or more combinations including an industrial device operating in the industrial device station, selecting the combination to adjust the industrial device operating in the industrial device station.
In one embodiment, the edge server may be further configured to: in response to the one or more combinations not including the industrial equipment operating in the industrial equipment station, selecting a combination of the one or more combinations having an output power closest to the average power to adjust the industrial equipment operating in the industrial equipment station.
In one embodiment, the edge server may be further configured to: obtaining the calculated average power of the industrial equipment; acquiring a power matching scheme corresponding to the average power; and configuring a combination of the industrial devices based on the obtained power matching scheme.
The operation of the power meter 502, the output sensor 504, and the edge server 506 is as described above and will not be described herein.
By utilizing the technical means, the gas utilization demand characteristics of the air compression station under the corresponding working conditions can be automatically excavated through the acquired historical gas utilization data of the air compression station, and the air compressor combination is optimized in advance according to the gas utilization demand characteristics, so that the gas production is close to the actual demand, and the active control is carried out. Based on the characteristics of gas demand, the air compressors are combined in an optimal mode to supply gas, so that the pressure fluctuation of a pipe network is reduced, and the aim of saving energy is fulfilled.
FIG. 6 illustrates a schematic block diagram of an example electronic device 600 that can be used to implement embodiments of the present disclosure. For example, the computing device 110 as shown in fig. 1 may be implemented by the electronic device 600. As shown, electronic device 600 includes a Central Processing Unit (CPU) 601 that may perform various suitable actions and processes according to computer program instructions stored in a Read Only Memory (ROM) 602 or loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the random access memory 603, various programs and data required for the operation of the electronic apparatus 600 can also be stored. The central processing unit 601, the read only memory 602, and the random access memory 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
A number of components in the electronic device 600 are connected to the input/output interface 605, including: an input unit 606 such as a keyboard, a mouse, a microphone, and the like; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The various processes and processes described above, such as the methods 200, 300, 400, may be performed by the central processing unit 601. For example, in some embodiments, the methods 200, 300, 400 may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as the storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 600 via the read only memory 602 and/or the communication unit 609. When the computer program is loaded into the random access memory 603 and executed by the central processing unit 601, one or more of the actions of the methods 200, 300, 400 described above may be performed.
The present disclosure relates to methods, apparatuses, systems, electronic devices, computer-readable storage media and/or computer program products. The computer program product may include computer-readable program instructions for performing various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge computing devices. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
Computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of the disclosure are implemented by personalizing an electronic circuit, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), with state information of computer-readable program instructions, which can execute the computer-readable program instructions.
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer readable program instructions.
These computer-readable program instructions may be provided to a processing unit of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processing unit of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (12)
1. A method for controlling industrial equipment in an industrial equipment station, comprising:
acquiring actual power of industrial equipment operating in the industrial equipment station at an edge server within a predetermined time period;
calculating an average power of the industrial equipment station within the predetermined time period based on the obtained actual power;
configuring the combination of industrial devices such that the combined output power of the industrial devices corresponds to the calculated average power, wherein configuring the combination of industrial devices comprises obtaining a standard performance curve for the industrial device station; performing a fit to a standard performance curve of the industrial equipment station to obtain a relationship between an average power and an output index value of the industrial equipment station; determining the output power of the industrial equipment station in the next preset time period based on the relation between the average power and the output index value of the industrial equipment station; and configuring a combination of the industrial devices based on the determined output power;
acquiring an upper limit early warning value and a lower limit early warning value of an output index value of the industrial equipment station;
monitoring an output index value of the industrial equipment station; and
and adjusting the industrial equipment operated in the industrial equipment station to be the combination of the industrial equipment when the monitored output index value is higher than the upper limit early warning value or lower than the lower limit early warning value.
2. The method of claim 1, adjusting the industrial equipment operating in the industrial equipment station to the combination of industrial equipment comprises:
obtaining one or more combinations of the industrial equipment;
determining whether the one or more combinations of acquired industrial equipment include industrial equipment operating in the industrial equipment station; and
in response to the one or more combinations including an industrial device operating in the industrial device station, selecting the combination adjusts an industrial device operating in the industrial device station.
3. The method of claim 2, adjusting the industrial equipment operating in the industrial equipment station to the combination of industrial equipment comprises:
in response to the one or more combinations not including the industrial equipment operating in the industrial equipment station, selecting a combination of the one or more combinations having an output power closest to the average power to adjust the industrial equipment operating in the industrial equipment station.
4. The method of claim 1, configuring the combination of industrial devices comprising:
obtaining the calculated average power of the industrial equipment;
acquiring a power matching scheme corresponding to the average power; and
configuring a combination of the industrial devices based on the obtained power matching scheme.
5. The method of claim 1, configuring the combination of industrial devices further comprising:
determining the output power of the industrial equipment and the hardware cost of the industrial equipment per unit time;
determining the output power of the industrial equipment and the energy consumption cost of the industrial equipment per unit time;
determining an optimal usage duration of the industrial equipment based on the determined hardware cost and energy consumption cost; and
configuring the combination of industrial equipment based on the determined optimal usage period.
6. A system for controlling industrial equipment in an industrial equipment station, comprising:
a power meter configured to obtain actual power of industrial equipment operating in the industrial equipment station within a predetermined time period;
an output sensor configured to monitor an output indicator value of the industrial equipment station; and
an edge server configured to:
calculating an average power of the industrial equipment station within the predetermined time period based on the obtained actual power;
configuring a combination of the industrial devices such that a combined output power of the industrial devices corresponds to the calculated average power, wherein configuring the combination of the industrial devices includes obtaining a standard performance curve for the industrial device station; performing a fit to a standard performance curve of the industrial equipment station to obtain a relationship between an average power and an output index value of the industrial equipment station; determining the output power of the industrial equipment station in the next preset time period based on the relation between the average power and the output index value of the industrial equipment station; and configuring a combination of the industrial devices based on the determined output power;
acquiring an upper limit early warning value and a lower limit early warning value of an output index value of the industrial equipment station; and
and adjusting the industrial equipment operated in the industrial equipment station to be the combination of the industrial equipment when the monitored output index value is higher than the upper limit early warning value or lower than the lower limit early warning value.
7. The system of claim 6, the edge server further configured to:
obtaining one or more combinations of the industrial equipment;
determining whether the one or more combinations of acquired industrial equipment include industrial equipment operating in the industrial equipment station; and
in response to the one or more combinations including an industrial device operating in the industrial device station, selecting the combination adjusts an industrial device operating in the industrial device station.
8. The system of claim 7, the edge server further configured to:
in response to the one or more combinations not including the industrial equipment operating in the industrial equipment station, selecting a combination of the one or more combinations having an output power closest to the average power to adjust the industrial equipment operating in the industrial equipment station.
9. The system of claim 6, the edge server further configured to:
obtaining the calculated average power of the industrial equipment;
acquiring a power matching scheme corresponding to the average power; and
configuring a combination of the industrial devices based on the obtained power matching scheme.
10. The system of claim 6, configuring the combination of industrial devices further comprising:
determining the output power of the industrial equipment and the hardware cost of the industrial equipment per unit time;
determining the output power of the industrial equipment and the energy consumption cost of the industrial equipment per unit time;
determining an optimal usage duration of the industrial equipment based on the determined hardware cost and energy consumption cost; and
configuring the combination of industrial equipment based on the determined optimal usage period.
11. A computing device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor;
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.
12. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-5.
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