Control method and device of power equipment, computer equipment and storage medium

Abstract

The application relates to a power equipment control method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: obtaining a collective dimension first comparison result through energy consumption comparison processing according to energy consumption values of the collective dimension in a preset time period; in the case that it is determined according to the first comparison result that there is an abnormal equipment in the collective, determining the abnormal equipment according to energy consumption values of a subset dimension, energy consumption values of a process dimension and energy consumption values of a production line dimension in the preset time period; determining a payback time of a replacement equipment corresponding to the abnormal equipment; in the case that the payback time is within a time range, updating the abnormal equipment to the replacement equipment; determining a first running efficiency of the replacement equipment and a second running efficiency of power equipment except the replacement equipment in the collective, and controlling the start-stop state of the replacement equipment and the power equipment except the replacement equipment according to the first running efficiency and the second running efficiency, thereby realizing accurate control of the power equipment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of energy, in particular to a power equipment control method and device, computer equipment, storage medium and computer program product. BACKGROUND

[0002] With the development of energy technology, in order to ensure orderly power consumption, each collective needs to reasonably arrange the running time of each power equipment.

[0003] In the traditional technology, the collective statistics the power consumption of each power equipment, and controls the running time of the power equipment according to the power consumption of the power equipment, however, only the power consumption of the power equipment cannot accurately control the power equipment. SUMMARY

[0004] Therefore, it is necessary to provide a power equipment control method and device, computer equipment, computer readable storage medium and computer program product capable of accurately controlling power equipment in view of the above technical problems.

[0005] In a first aspect, the present application provides a power equipment control method. The method comprises:

[0006] obtaining energy consumption values corresponding to each dimension in a preset time period, wherein the dimensions include a collective dimension of a collective to which a target device belongs, a sub-collective dimension of a sub-collective in the collective, a process dimension of a process in the sub-collective, and a production line dimension of a production line in the process;

[0007] According to the energy consumption values of the collective dimension in the preset time period, a first comparison result of the collective dimension is obtained through energy consumption comparison processing, and in the case that it is determined according to the first comparison result that there is an abnormal device in the collective, an abnormal device is determined from a plurality of power equipment in the collective according to the energy consumption values of the sub-collective dimension, the energy consumption values of the process dimension and the energy consumption values of the production line dimension in the preset time period;

[0008] determining a payback time of a replacement device corresponding to the abnormal device, and updating the abnormal device to the replacement device in the case that the payback time of the replacement device is within a time range;

[0009] determining a first running efficiency of the replacement device and a second running efficiency of power equipment other than the replacement device in the collective, and controlling the start-stop state of the replacement device and the power equipment other than the replacement device according to the first running efficiency and the second running efficiency.

[0010] In a second aspect, the present application further provides a power equipment control device. The device comprises:

[0011] The acquisition module is configured to acquire energy consumption values corresponding to respective dimensions in a preset time period, wherein the dimensions include a collective dimension of a collective to which a target device belongs, a sub-collective dimension of a sub-collective in the collective, a process dimension of a process in the sub-collective, and a production line dimension of a production line in the process;

[0012] The determination module is configured to obtain a first comparison result of the collective dimension by energy consumption comparison processing according to the energy consumption values of the collective dimension in the preset time period, and determine an abnormal device from a plurality of power devices in the collective according to the energy consumption values of the sub-collective dimension, the energy consumption values of the process dimension, and the energy consumption values of the production line dimension in the preset time period in a case where it is determined according to the first comparison result that there is an abnormal device in the collective.

[0013] The update module is configured to determine a payback time of a replacement device corresponding to the abnormal device, and update the abnormal device to the replacement device in a case where the payback time of the replacement device is within a time range.

[0014] The control module is configured to determine a first running efficiency of the replacement device and a second running efficiency of power devices other than the replacement device in the collective, and control start-stop states of the replacement device and the power devices other than the replacement device according to the first running efficiency and the second running efficiency.

[0015] In a third aspect, the present application further provides a computer device. The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0016] The acquisition module is configured to acquire energy consumption values corresponding to respective dimensions in a preset time period, wherein the dimensions include a collective dimension of a collective to which a target device belongs, a sub-collective dimension of a sub-collective in the collective, a process dimension of a process in the sub-collective, and a production line dimension of a production line in the process;

[0017] The determination module is configured to obtain a first comparison result of the collective dimension by energy consumption comparison processing according to the energy consumption values of the collective dimension in the preset time period, and determine an abnormal device from a plurality of power devices in the collective according to the energy consumption values of the sub-collective dimension, the energy consumption values of the process dimension, and the energy consumption values of the production line dimension in the preset time period in a case where it is determined according to the first comparison result that there is an abnormal device in the collective.

[0018] The update module is configured to determine a payback time of a replacement device corresponding to the abnormal device, and update the abnormal device to the replacement device in a case where the payback time of the replacement device is within a time range.

[0019] determine a first operation efficiency of the replacement device and a second operation efficiency of the power devices other than the replacement device in the group, and control start-stop states of the replacement device and the power devices other than the replacement device according to the first operation efficiency and the second operation efficiency.

[0020] In a fourth aspect, the present application further provides a computer readable storage medium. The computer readable storage medium has a computer program stored thereon, and the computer program, when executed by a processor, implements the following steps:

[0021] obtain energy consumption values corresponding to each dimension in a preset time period, the dimensions including a group dimension of a group to which the target device belongs, a sub-group dimension of a sub-group in the group, a process dimension of a process in the sub-group, and a production line dimension of a production line in the process;

[0022] obtain energy consumption values corresponding to each dimension in a preset time period, the dimensions including a group dimension of a group to which the target device belongs, a sub-group dimension of a sub-group in the group, a process dimension of a process in the sub-group, and a production line dimension of a production line in the process;

[0023] determine a first operation efficiency of the replacement device and a second operation efficiency of the power devices other than the replacement device in the group, and control start-stop states of the replacement device and the power devices other than the replacement device according to the first operation efficiency and the second operation efficiency.

[0024] determine a first operation efficiency of the replacement device and a second operation efficiency of the power devices other than the replacement device in the group, and control start-stop states of the replacement device and the power devices other than the replacement device according to the first operation efficiency and the second operation efficiency.

[0025] In a fifth aspect, the present application further provides a computer program product. The computer program product includes a computer program, and the computer program, when executed by a processor, implements the following steps:

[0026] obtain energy consumption values corresponding to each dimension in a preset time period, the dimensions including a group dimension of a group to which the target device belongs, a sub-group dimension of a sub-group in the group, a process dimension of a process in the sub-group, and a production line dimension of a production line in the process;

[0027] According to the energy consumption values of the collective dimension in the preset time period, a first comparison result of the collective dimension is obtained through energy consumption comparison processing, in the case where it is determined according to the first comparison result that there is an abnormal device in the collective, an abnormal device is determined from the plurality of power devices in the collective according to the energy consumption values of the sub-collective dimension, the energy consumption values of the process dimension and the energy consumption values of the production line dimension in the preset time period;

[0028] The payback time of the replacement device corresponding to the abnormal device is determined, and in the case where the payback time of the replacement device is within a time range, the abnormal device is updated to the replacement device;

[0029] The first running efficiency of the replacement device and the second running efficiency of the power devices in the collective except the replacement device are determined, and the start-stop state of the replacement device and the power devices except the replacement device is controlled according to the first running efficiency and the second running efficiency.

[0030] The control method, device, computer equipment, storage medium and computer program product of the power device, by acquiring the energy consumption values corresponding to each dimension in a preset time period, the dimension includes the collective dimension of the collective to which the target device belongs, the sub-collective dimension of the sub-collective in the collective, the process dimension of the process in the sub-collective, and the production line dimension of the production line in the process. According to the energy consumption values of the collective dimension in the preset time period, a first comparison result of the collective dimension is obtained through energy consumption comparison processing, in the case where it is determined according to the first comparison result that there is an abnormal device in the collective, an abnormal device is determined from the plurality of power devices in the collective according to the energy consumption values of the sub-collective dimension, the energy consumption values of the process dimension and the energy consumption values of the production line dimension in the preset time period. In this way, according to the energy consumption values of the collective dimension, whether there is an abnormal device in the collective can be detected in time and accurately, and in the case where it is determined that there is an abnormal device, the energy consumption values of the sub-collective dimension, the process dimension and the production line dimension are combined to further accurately locate the abnormal device. The payback time of the replacement device corresponding to the abnormal device is determined, and in the case where the payback time of the replacement device is within a time range, the abnormal device is updated to the replacement device. The first running efficiency of the replacement device and the second running efficiency of the power devices in the collective except the replacement device are determined, and the start-stop state of the replacement device and the power devices except the replacement device is controlled according to the first running efficiency and the second running efficiency, that is, accurate control of the power device is realized. BRIEF DESCRIPTION OF DRAWINGS

[0031] Figure 1 The application environment diagram of the control method of the power device in one embodiment;

[0032] Figure 2Flowchart of a control method of a power device in an embodiment;

[0033] Figure 3 Flowchart of a step of determining a first comparison result in an embodiment;

[0034] Figure 4 Flowchart of a step of determining an abnormal device in an embodiment;

[0035] Figure 5 Flowchart of a control method of a power device in another embodiment;

[0036] Figure 6 Schematic diagram of interaction between a computer device and a data synchronization support device in an embodiment;

[0037] Figure 7 Flowchart of energy consumption comparison in an embodiment;

[0038] Figure 8 Block diagram of a control device of a power device in an embodiment;

[0039] Figure 9 Internal structure diagram of a computer device in an embodiment. DETAILED DESCRIPTION

[0040] In order to make the objects, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not intended to limit the present application.

[0041] The control method of the power device provided by the embodiments of the present application can be applied to, for example, Figure 1The application environment is shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data required by the server 104 to process. The data storage system can be integrated on the server 104, or placed on the cloud or other network servers. The server 104 obtains the energy consumption value corresponding to each dimension in the preset time period sent by the terminal 102, and the dimension includes the collective dimension of the collective to which the target device belongs, the sub-collective dimension of the sub-collective in the collective, the process dimension of the process in the sub-collective, and the production line dimension of the production line in the process. The server 104 obtains the first comparison result of the collective dimension by energy consumption comparison processing according to the energy consumption value of the collective dimension in the preset time period, and determines that there is an abnormal device in the collective according to the first comparison result, and determines the abnormal device from the plurality of power devices in the collective according to the energy consumption value of the sub-collective dimension, the energy consumption value of the process dimension and the energy consumption value of the production line dimension in the preset time period. The server 104 determines the payback time of the replacement device corresponding to the abnormal device, and updates the abnormal device to the replacement device in the case that the payback time of the replacement device is in the time range. The server 104 determines the first running efficiency of the replacement device and the second running efficiency of the power devices except the replacement device in the collective, and controls the start-stop state of the replacement device and the power devices except the replacement device according to the first running efficiency and the second running efficiency. Among them, the terminal 102 can be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers. The server 104 can be realized by an independent server or a server cluster composed of multiple servers.

[0042] In one embodiment, as shown in Figure 2 A control method of a power device is provided, which is applied to the terminal 102 or the server 104 in the computer device Figure 1 for example, including the following steps:

[0043] Step S202, obtaining the energy consumption value corresponding to each dimension in the preset time period, and the dimension includes the collective dimension of the collective to which the target device belongs, the sub-collective dimension of the sub-collective in the collective, the process dimension of the process in the sub-collective, and the production line dimension of the production line in the process.

[0044] Among them, the collective includes a plurality of departments, which can be understood as sub-collectives, each department includes a plurality of processes, each process includes a plurality of production lines, and each production line includes a plurality of power devices and a plurality of products. Exemplarily, the collective can be an enterprise. For the collective, sub-collective, process and production line, the energy consumption value can be regarded as the energy efficiency value.

[0045] Optionally, for a group, there are multiple power devices in the group. For each sub-time period within a preset time period, the computer device determines, according to the power consumption of each power device in the sub-time period, the power consumption of each production line in the sub-time period, the power consumption of each process in the sub-time period, the power consumption of each sub-group in the sub-time period, and the power consumption of the group in the sub-time period. The preset time period includes multiple continuous sub-time periods. For example, the preset time period is 3 months, and each sub-time period is 1 month, and there are 3 sub-time periods.

[0046] For each sub-time period, the computer device determines the energy consumption value of the production line dimension according to the power consumption of the production line, and determines the energy consumption value of the process dimension according to the power consumption of the process. The energy consumption value of the sub-group dimension is determined according to the power consumption of each sub-group. The computer device determines the energy consumption value of the sub-group dimension according to the power consumption of the sub-group. For example, in each sub-time period, the energy consumption value of the production line dimension is determined according to the power consumption of each production line, the energy consumption value of the process dimension is determined according to the power consumption of each process, and the energy consumption value of the sub-group dimension is determined according to the power consumption of each sub-group. The energy consumption value of the group dimension is determined according to the power consumption of the group.

[0047] For example, in the process of determining the power consumption of the power device, the computer device obtains the power consumption collected by the power collection and reporting device deployed upstream of the power device and the line. The power collection and reporting device can report the collected raw message once every preset time interval, and the raw message includes power information, three-phase voltage and current information, etc. The current collection and reporting device converts the raw message into a data structure of a preset format, and initializes the data structure to a time sequence library. The data structure can be dimensioned by minutes, or by hours, etc., and is not limited. The power collection and reporting device calculates the power consumption of the previous day at a fixed time every day, calculates the power consumption of the previous month on a fixed day (e.g., the 1st) every month, and calculates the power consumption of the previous year on a fixed date every year, and stores each power consumption in a relational database for index calculation, i.e., dimension calculation.

[0048] In step S204, according to the energy consumption value of the group dimension within the preset time period, the first comparison result of the group dimension is obtained through energy consumption comparison processing. In the case where the first comparison result determines that there is an abnormal device in the group, the abnormal device is determined from the multiple power devices in the group according to the energy consumption value of the sub-group dimension, the energy consumption value of the process dimension, and the energy consumption value of the production line dimension within the preset time period.

[0049] The energy consumption comparison processing can be understood as energy efficiency benchmarking processing, i.e., a processing of comparing the energy consumption value of each dimension with the standard of the corresponding dimension.

[0050] Optionally, the computer device obtains energy consumption values of the collective dimension corresponding to each sub-time period in the preset time period, and obtains a first comparison result of the collective dimension by energy consumption comparison processing according to the energy consumption values of the collective dimension.

[0051] For example, the computer device obtains an adjacent time period adjacent to the preset time period, and the length of time of the adjacent time period is the same as that of the preset time period. The computer device obtains energy consumption values of the collective dimension corresponding to each sub-time period in the adjacent time period, and respectively performs trend comparison processing and ring comparison processing according to the energy consumption values of the collective dimension of each sub-time period in the preset time period to obtain a trend comparison result and a ring comparison result. The computer device performs same comparison processing according to the energy consumption values of the collective dimension corresponding to each sub-time period in the adjacent time period and the energy consumption values of the collective dimension of each time period in the preset time period to obtain a same comparison result. The computer device determines a first comparison result of the collective dimension according to the trend comparison result, the same comparison result and the ring comparison result. In a case where it is determined according to the first comparison result that there is an abnormal device in the collective, the abnormal device is determined from the plurality of power devices in the collective according to the energy consumption value of the sub-collective dimension, the energy consumption value of the process dimension and the energy consumption value of the production line dimension in the preset time period.

[0052] Step S206, determining a payback time of a replacement device corresponding to the abnormal device, and updating the abnormal device to the replacement device in a case where the payback time of the replacement device is within a time range.

[0053] For example, the shorter the payback time of the device, the shorter the profit space of the device. The shorter the payback time of the product, the shorter the profit space of the device.

[0054] Optionally, for each abnormal device, the computer device determines a replacement device corresponding to the abnormal device, and determines a payback time of the replacement device. The computer device updates the abnormal device to the replacement device in a case where the payback time of the replacement device is within a time range.

[0055] For example, the calculation formula of the payback time is as follows:

[0056] Payback time = (new device unit price - abnormal device depreciation unit price + abnormal device production value - new device unit production value) / (abnormal device unit energy consumption * monthly production - new device unit energy consumption * monthly production) / comprehensive electricity price

[0057] For example, the payback time is in months. The new device is the replacement device. When the payback time is less than 0, the payback time is determined as 0.

[0058] In step S208, the first operation efficiency of the replacement device and the second operation efficiency of the power devices other than the replacement device in the group are determined, and the start-stop state of the replacement device and the power devices other than the replacement device is controlled according to the first operation efficiency and the second operation efficiency.

[0059] The start-stop state of the power device indicates whether the power device is in an open state or a closed state.

[0060] Optionally, when the number of replacement devices is multiple, the computer device determines the first operation efficiency of each replacement device and the second operation efficiency of each power device other than the replacement device in the group, and sorts the first operation efficiency and the second operation efficiency to obtain a sorting result. The computer device controls the start-stop state of each replacement device in a target time period and the start-stop state of the power devices other than the replacement device in the target time period according to the sorting result.

[0061] Alternatively, when the number of replacement devices is one, the computer device determines the first operation efficiency of the replacement device and the second operation efficiency of each power device other than the replacement device in the group, and sorts the first operation efficiency and the second operation efficiency to obtain a sorting result. The computer device controls the start-stop state of the replacement device in a target time period and the start-stop state of the power devices other than the replacement device in the target time period according to the sorting result. The target time period can be regarded as a current time period compared with a preset time period which can be regarded as a historical time period.

[0062] In the control method of the power equipment, the energy consumption values corresponding to each dimension in a preset time period are obtained, the dimensions including a collective dimension of a collective to which the target equipment belongs, a sub-collective dimension of a sub-collective in the collective, a process dimension of a process in the sub-collective, and a production line dimension of a production line in the process. According to the energy consumption values of the collective dimension in the preset time period, a first comparison result of the collective dimension is obtained through energy consumption comparison processing. In a case where it is determined according to the first comparison result that there is an abnormal equipment in the collective, an abnormal equipment is determined from the power equipment in the collective according to the energy consumption values of the sub-collective dimension, the process dimension, and the production line dimension in the preset time period. In this way, whether there is an abnormal equipment in the collective can be detected in a timely and accurate manner according to the energy consumption values of the collective dimension. In a case where it is determined that there is an abnormal equipment, the abnormal equipment is further accurately located in combination with the energy consumption values of the sub-collective dimension, the process dimension, and the production line dimension. The payback time of a replacement equipment corresponding to the abnormal equipment is determined. In a case where the payback time of the replacement equipment is within a time range, the abnormal equipment is updated to the replacement equipment in a timely manner. The first running efficiency of the replacement equipment and the second running efficiency of the power equipment other than the replacement equipment in the collective are determined, and the start-stop state of the replacement equipment and the power equipment other than the replacement equipment can be reasonably and accurately controlled in combination with the first running efficiency and the second running efficiency, that is, accurate control of the power equipment is achieved.

[0063] In one embodiment, the energy consumption values corresponding to each dimension in a preset time period are obtained by obtaining the power consumption and the output value corresponding to each dimension in the preset time period. For each dimension, the ratio of the power consumption and the output value corresponding to the dimension is taken as the energy consumption value corresponding to the dimension.

[0064] Optionally, for each dimension, the computer device obtains the power consumption and the output value of the dimension corresponding to each sub-time period in a preset time period. For each dimension and each sub-time period, the computer device takes the ratio of the power consumption and the output value corresponding to the dimension in the sub-time period as the energy consumption value corresponding to the dimension. In this embodiment, the energy consumption value is calculated according to the output value, that is, the value of the energy consumption per unit output value.

[0065] For example, for each sub-time period, the energy consumption value of the collective dimension is the ratio of the collective power consumption and the collective output value; the energy consumption value of the sub-collective dimension is the ratio of the sub-collective power consumption and the sub-collective output value, and the sub-collective power consumption can be regarded as the power consumption of all power equipment corresponding to the sub-collective. The energy consumption value of the process dimension is the ratio of the process power consumption and the process output value, and the process power consumption can be regarded as the power consumption of all power equipment corresponding to the process. The energy consumption value of the production line dimension is the ratio of the production line power consumption and the production line output value, and the production line power consumption is the power consumption of all power equipment corresponding to the production line.

[0066] In addition, the dimensions further include a product dimension, and the determining of the energy consumption value of the product dimension comprises: taking a ratio of the product energy consumption value and the product output value as the energy consumption value of the product dimension.

[0067] It should be noted that the energy consumption value of the product dimension is used for subsequent evaluation of ranking of the product in the same type of product, can reflect whether it meets the standard index, the difference in energy consumption between production lines, so as to help the refinement of the process, and can also assist in analyzing whether there is a problem of large energy consumption in a certain production line or a certain process.

[0068] In the embodiment, for each dimension, the energy consumption value under each dimension is determined accurately and quickly by taking the proportion of the electricity consumption and the output value corresponding to the dimension as the energy consumption value corresponding to the dimension, which comprehensively reflects the energy consumption of the whole and the part.

[0069] In an embodiment, the obtaining of the energy consumption value corresponding to each dimension in the preset time period comprises: obtaining the electricity consumption corresponding to each dimension, the industrial added value of the collective dimension, and the output corresponding to each dimension except the collective dimension. For the collective dimension, a ratio of the electricity consumption and the industrial added value of the collective dimension is taken as the energy consumption value of the collective dimension. For each dimension except the collective dimension, a proportion of the electricity consumption and the output corresponding to the dimension is taken as the energy consumption value corresponding to the dimension.

[0070] The dimensions except the collective dimension include a sub-collective dimension, a production line dimension, a process dimension, and a product dimension.

[0071] Optionally, the computer device determines each sub-time period in the preset time period. For each sub-time period of the collective dimension, the computer device takes a ratio of the electricity consumption and the industrial added value of the sub-time period as the energy consumption value of the collective dimension. For each sub-time period, the energy consumption value of the sub-collective dimension is a ratio of the sub-collective electricity consumption and the sub-collective output, and the sub-collective electricity consumption can be regarded as the electricity consumption of all power devices corresponding to the sub-collective. The energy consumption value of the process dimension is a ratio of the process electricity consumption and the process output, and the process electricity consumption can be regarded as the electricity consumption of all power devices corresponding to the process. The energy consumption value of the production line dimension is a ratio of the production line electricity consumption and the production line output, and the production line electricity consumption is the electricity consumption of all power devices corresponding to the production line. The energy consumption value of the product dimension is a ratio of the product electricity consumption and the product output.

[0072] It should be noted that the energy consumption value of the product dimension is used for subsequent evaluation of ranking of the product in the same type of product, can reflect whether it meets the standard index, the difference in energy consumption between production lines, so as to help the refinement of the process, and can also assist in analyzing whether there is a problem of large energy consumption in a certain production line or a certain process.

[0073] In the embodiment, for the collective dimension, the proportion of the electricity consumption and the industrial added value of the collective is taken as the energy consumption value of the collective dimension, and for each dimension except the collective dimension, the proportion of the electricity consumption and the output corresponding to the dimension is taken as the energy consumption value corresponding to the dimension, so that the energy consumption values under each dimension can be accurately and quickly determined, and the energy consumption of the collective as a whole and the parts is comprehensively reflected.

[0074] In one embodiment, as shown in FIG. 6, the first comparison result of the collective dimension is obtained by energy consumption comparison processing according to the energy consumption value of the collective dimension in the preset time period, including: Figure 3

[0075] In step S302, each adjacent time period set is determined according to each sub time period in the preset time period, and each adjacent time period set includes adjacent first and second sub time periods.

[0076] For example, the preset time period is m months, and the length of each sub time period is half a month, so there are 2m continuous sub time periods, i.e., sub time period 1, …, sub time period 2m. At this time, there are 2m-1 adjacent time period sets, for example, adjacent time period set n includes sub time period n-1 and sub time period n, where sub time period n and sub time period n-1 are adjacent. The first sub time period is sub time period n-1, the second sub time period is n, and the first sub time period is located before the second sub time period. It should be noted that the adjacent time period set is not adjacent time period, i.e., the sub time periods in the adjacent time period set belong to the preset time period, and the adjacent time period and the preset time period are adjacent.

[0077] In step S304, for each adjacent time period set, the change rate corresponding to the adjacent time period set is determined according to the energy consumption value of the collective dimension of the first sub time period and the energy consumption value of the collective dimension of the second sub time period corresponding to the adjacent time period set, and the trend value is obtained by fusing the change rates corresponding to each adjacent time period set.

[0078] Optionally, for each adjacent time period set, the computer device calculates the difference between the energy consumption value of the collective dimension of the second sub time period and the energy consumption value of the collective dimension of the first sub time period corresponding to the adjacent time period set, and takes the ratio of the difference and the energy consumption value of the collective dimension of the first sub time period as the change rate corresponding to the adjacent time period set. The computer device superimposes the change rates corresponding to each adjacent time period set to obtain the trend value of the collective dimension. In addition, if the trend value of the collective dimension is greater than the alarm threshold of the collective dimension, an alarm is performed, and an alarm information is displayed. For example, if the trend value of the collective dimension exceeds 5%, an alarm is performed, and the alarm information is “the energy consumption fluctuation is large, please perform maintenance work.”

[0079] ​The trend value is positive, indicating that the energy consumption value change trend of the collective dimension in the preset time period is increasing. The trend value is negative, indicating that the energy consumption value change trend of the collective dimension in the preset time period is decreasing.

[0080] In step S306, a target adjacent time period set is selected from the plurality of adjacent time period sets, and a change rate corresponding to the target adjacent time period set is taken as the first change rate.

[0081] Optionally, the computer device randomly selects one adjacent time period set from the plurality of adjacent time period sets as the target adjacent time period set. The computer device takes a change rate corresponding to the target adjacent time period set as the first change rate of the collective dimension.

[0082] It should be noted that this step can be understood as a ring ratio. At this time, the preset time period unit is a year, and the sub-time period unit is a month.

[0083] In step S308, a neighboring time period adjacent to the preset time period is determined, and a third sub-time period corresponding to the target serial number in the preset time period is determined, and a fourth sub-time period corresponding to the target serial number in the adjacent time period is determined.

[0084] Optionally, the computer device determines a neighboring time period adjacent to the preset time period, and the time length of the adjacent time period is equal to the time length of the preset time period. The computer device determines the sub-time period of the adjacent time period according to the time length of the sub-time period in the preset time period. The time length of each sub-time period of the preset time period is equal. At this time, the number of sub-time periods of the preset time period is the same as the number of sub-time periods of the adjacent time period.

[0085] Therefore, the computer device determines the third sub-time period corresponding to the target serial number in the preset time period, and determines the fourth sub-time period corresponding to the target serial number in the adjacent time period. For example, the preset time period has p sub-time periods, and the serial numbers of the sub-time periods are 1, …, p in turn. Correspondingly, the adjacent time period has p sub-time periods, and the serial numbers of the sub-time periods are 1, …, p in turn. If the target serial number is k, the computer device takes the kth sub-time period of the preset time period as the third sub-time period, and takes the kth sub-time period of the adjacent time period as the fourth sub-time period.

[0086] In step S310, a second change rate is determined according to the energy consumption value of the collective dimension of the third sub-time period and the energy consumption value of the collective dimension of the fourth sub-time period.

[0087] For example, the computer device calculates the difference between the energy consumption value of the collective dimension of the fourth sub-time period and the energy consumption value of the collective dimension of the third sub-time period, and takes the difference and the ratio of the third sub-time period as the second change rate of the collective dimension.

[0088] It should be noted that this step can be understood as the same as the previous step. At this time, the preset time period unit is a year, and the sub time period unit is a month.

[0089] In step S312, the trend value, the first change rate and the second change rate are fused to obtain the first comparison result of the collective dimension.

[0090] Specifically, the computer device determines the weight of the trend value, the weight of the first change rate and the weight of the second change rate, and obtains the first comparison result of the collective dimension by weighted summation according to the trend value, the weight of the trend value, the first change rate, the weight of the first change rate, the second change rate and the weight of the second change rate. The first comparison result of the collective dimension is the sum value of the weighted summation.

[0091] In this embodiment, the energy consumption value of the collective dimension of each sub time period in the preset time period can reflect the overall trend of the collective in the preset time period. At the same time, the first change rate is determined according to the energy consumption values of the collective dimensions of the adjacent two sub time periods in the preset time period, which can effectively reflect the development speed of the energy consumption value of the collective dimension from period to period. In addition, the adjacent time periods are determined according to the preset time period, so that the second change rate is determined according to the energy consumption values of the collective dimensions of the adjacent time periods, which can reflect the relative change of the energy consumption value of the collective dimension. In this way, by fusing the trend value, the first change rate and the second change rate, whether there is an abnormal device in the collective can be reflected as a whole, which is conducive to timely and accurate detection of whether there is an abnormal device in the collective.

[0092] In one embodiment, the method further comprises: obtaining a threshold range of the collective dimension corresponding to the abnormal device. In the case that the first comparison result is within the threshold range of the collective dimension, it is determined that there is an abnormal device in the collective. In the case that the first comparison result is not within the threshold range of the collective dimension, it is determined that there is no abnormal device in the collective.

[0093] For example, the computer device obtains a threshold range of the collective dimension corresponding to the abnormal device, compares the first comparison result with the threshold range of the collective dimension, and in the case that the first comparison result is within the threshold range of the collective dimension, the computer device determines that there is an abnormal device in the collective. In the case that the first comparison result is not within the threshold range of the collective dimension, the computer device determines that there is no abnormal device in the collective. The abnormal device is the abnormal power device

[0094] In this embodiment, by comparing the first comparison result with the threshold range of the collective dimension, whether there is an abnormal device in the collective can be quickly and effectively screened out, so as to facilitate subsequent further positioning of the abnormal device.

[0095] In one embodiment, as shown in Figure 4 In one embodiment, as shown in

[0096] In one embodiment, as shown in

[0097] In one embodiment, as shown in

[0098] In one embodiment, as shown in

[0099] The inter-period processing of the sub-set dimension can refer to the process of step S306 described above, that is, for each sub-set, a target adjacent time period set is selected from a plurality of adjacent time period sets, and the change rate of the sub-set dimension corresponding to the target adjacent time period set is taken as the first change rate of the sub-set dimension. The first change rate of the sub-set dimension is the inter-period result of the sub-set dimension.

[0100] The same-period processing of the sub-set can refer to the processes of steps S308 to S310 described above, that is, an adjacent time period adjacent to the preset time period is determined, and a third sub-time period corresponding to the target sequence number in the preset time period is determined, and a fourth sub-time period corresponding to the target sequence number in the adjacent time period is determined. According to the energy consumption value of the sub-set dimension of the third sub-time period and the energy consumption value of the sub-set dimension of the fourth sub-time period, the second change rate of the sub-set dimension is determined. The second change rate of the sub-set dimension is the same-period result of the sub-set dimension.

[0101] In step S404, in a case where it is determined according to each second comparison result that there is at least one sub-set of abnormal devices, the sub-set of abnormal devices is taken as a target sub-set, and for each process in the target sub-set, according to the energy consumption value of the process dimension corresponding to the process in the preset time period, a third comparison result corresponding to each process is obtained through energy consumption comparison processing.

[0102] Alternatively, the computer device compares the threshold range of the sub-set dimension with each second comparison result respectively, in a case where it is determined according to each second comparison result that there is at least one sub-set of abnormal devices, the sub-set of abnormal devices is taken as a target sub-set, and for each process of each target sub-set, according to the energy consumption value of the process dimension of each sub-time period in the preset time period, trend comparison processing and inter-period processing are respectively performed to obtain a trend comparison result and an inter-period processing result. The computer device performs same-period processing according to the energy consumption value of the process dimension of each sub-time period in the adjacent time period and the energy consumption value of the process dimension of each time period in the preset time period, to obtain a same-period processing result. For each sub-set, the computer device determines a third comparison result corresponding to the process according to the trend comparison result, the same-period result and the inter-period result corresponding to the process dimension.

[0103] The computer device determines each sub-adjacent time period set corresponding to the preset time period, and each adjacent time period set includes adjacent first and second sub-time periods. Then, the trend comparison processing of the process dimension can refer to the process of step S304 described above, that is, for each adjacent time period set corresponding to each process, the change rate of the process dimension corresponding to the adjacent time period set is determined according to the energy consumption value of the process dimension of the first sub-time period and the energy consumption value of the process dimension of the second sub-time period corresponding to the adjacent time period set. The change rates corresponding to each adjacent time period set are fused to obtain the trend value of the process dimension. The trend value of the process dimension is the trend comparison result of the process dimension. In addition, if the trend value of the process dimension is greater than the alarm threshold of the process dimension, an alarm is performed, and alarm information is displayed.

[0104] The process dimension's link ratio processing can refer to the process of step S306 described above, that is, for each process, a target adjacent time period set is selected from the plurality of adjacent time period sets, and the change rate of the process dimension corresponding to the target adjacent time period set is taken as the first change rate of the process dimension. The first change rate of the process dimension is the link ratio result of the process dimension.

[0105] The process's same period processing can refer to the processes of steps S308 to S310 described above, that is, an adjacent time period adjacent to the preset time period is determined, and a third sub-time period corresponding to a target serial number in the preset time period is determined. A fourth sub-time period corresponding to the target serial number in the adjacent time period is determined. According to the energy consumption value of the process dimension of the third sub-time period and the energy consumption value of the process dimension of the fourth sub-time period, the second change rate of the process dimension is determined. The second change rate of the process dimension is the same period result of the process dimension.

[0106] In step S406, in the case where it is determined according to each third comparison result that there is at least one abnormal device appearing process, the abnormal device appearing process is taken as a target process, and according to each production line in the target process, according to the energy consumption value of the production line dimension corresponding to the production line in the preset time period, the fourth comparison result corresponding to each production line is obtained through energy consumption comparison processing.

[0107] Optionally, the computer device compares the threshold range of the process dimension with each third comparison result respectively, in the case that at least one abnormal device process is determined according to each third comparison result, the abnormal device process is taken as a target process, and for each production line in each target process, according to the energy consumption value of the production line dimension in each sub-time period within the preset time period, trend comparison processing and link comparison processing are respectively performed to obtain trend comparison results and link comparison results. The computer device performs same comparison processing according to the energy consumption value of the production line dimension corresponding to each sub-time period in the adjacent time period and the energy consumption value of the production line dimension in each time period within the preset time period, to obtain same comparison results. For each sub-group, the computer device determines the fourth comparison result corresponding to the production line according to the trend comparison result, the same result and the link result corresponding to the production line dimension.

[0108] Wherein, the computer device determines each sub-adjacent time period set corresponding to the preset time period, each adjacent time period set includes adjacent first sub-time period and second sub-time period. Then, the trend comparison processing of the production line dimension can refer to the process of step S304 described above, that is, for each adjacent time period set corresponding to each production line, the change rate of the production line dimension corresponding to the adjacent time period set is determined according to the energy consumption value of the production line dimension in the first sub-time period and the energy consumption value of the production line dimension in the second sub-time period corresponding to the adjacent time period set, and the trend value of the production line dimension is obtained by fusing the change rates corresponding to each adjacent time period set. The trend value of the production line dimension is the trend comparison result of the production line dimension. In addition, if the trend value of the production line dimension is greater than the alarm threshold of the production line dimension, an alarm is performed, and the alarm information is displayed.

[0109] The link comparison processing of the production line dimension can refer to the process of step S306 described above, that is, for each production line, a target adjacent time period set is selected from a plurality of adjacent time period sets, and the change rate of the production line dimension corresponding to the target adjacent time period set is taken as the first change rate of the production line dimension. The first change rate of the production line dimension is the link result of the production line dimension.

[0110] The same comparison processing of the production line can refer to the processes of steps S308 to S310 described above, that is, an adjacent time period adjacent to the preset time period is determined, a third sub-time period corresponding to a target serial number in the preset time period is determined, and a fourth sub-time period corresponding to the target serial number in the adjacent time period is determined. According to the energy consumption value of the production line dimension in the third sub-time period and the energy consumption value of the production line dimension in the fourth sub-time period, the second change rate of the production line dimension is determined. The second change rate of the production line dimension is the same comparison result of the production line dimension.

[0111] Step S408, in the case where it is determined according to the fourth comparison result that there is at least one abnormal device in the production line, the production line with the abnormal device is taken as a target production line, and each device in the target production line is taken as an abnormal device.

[0112] Optionally, the computer device compares the threshold range of the production line dimension with each fourth comparison result respectively, in the case where it is determined according to the fourth comparison result that there is at least one abnormal device in the production line, the production line with the abnormal device is taken as a target production line, and each device in the target production line is taken as an abnormal device.

[0113] After the computer device determines the first comparison result of the collective dimension, the second comparison result of the sub-collective dimension, the third comparison result of the process dimension and the fourth comparison result of the production line dimension, the method further comprises: determining a trend value, a first change rate and a second change rate of the product dimension according to the energy consumption value of each sub-time period in a preset time period and the energy consumption value of each time period in the adjacent time period. The computer device determines a fifth comparison result of the product dimension according to the trend value, the first change rate and the second change rate of the product dimension. The computer device fuses the first comparison result, the second comparison result, the third comparison result, the fourth comparison result and the fifth comparison result to obtain a fusion value. The computer device sorts the fusion value of the collective with the fusion values of other similar collectives to obtain a fusion sorting result. The fusion sorting result represents the ranking of the collective product in the similar collectives. The ranking can also be used for subsequent control of each device.

[0114] In the embodiment, in the case where there is an abnormal device, the second comparison result of the sub-collective dimension is determined to screen whether there is an abnormal device in the sub-collectives, the third comparison result of the process dimension corresponding to the process of the sub-collective with the abnormal device is further determined to screen whether there is an abnormal device in the process, and finally, the fourth comparison result of the production line dimension corresponding to the production line of the process with the abnormal device is further determined to screen whether there is an abnormal device in the production line. In this way, the screening range of the abnormal device is narrowed layer by layer from a large range, and the abnormal device is accurately located.

[0115] In one embodiment, the control of the start-stop state of the replacement device and the power device other than the replacement device according to the first running efficiency and the second running efficiency comprises: sorting the first running efficiency and each second running efficiency from large to small to obtain a sorting result. According to the sorting result, the start-stop state of the replacement device in the target time period is determined, and the start-stop state of the power device other than the replacement device in the target time period is determined.

[0116] Optionally, the computer device performs descending ordering on the first operation efficiency and each second operation efficiency to obtain an ordering result. The computer device determines a ranking number of the replacement device and ranking numbers of each power device except the replacement device. A start duration of the replacement device with a ranking number before a preset ranking number is set as a first start duration, and a stop duration is set as a first stop duration. A start duration of the replacement device with a ranking number after the preset ranking number is set as a second start duration, and a stop duration is set as a second stop duration. Each power device except the replacement device is regarded as a non-replacement device. A start duration of the non-replacement device with a ranking number before the preset ranking number is set as the first start duration, and a stop duration is set as the first stop duration. A start duration of the non-replacement device with a ranking number after the preset ranking number is set as the second start duration, and a stop duration is set as the second stop duration. The first start duration is greater than the second start duration, and the first stop duration is less than the second stop duration.

[0117] In this embodiment, descending ordering is performed on the first operation efficiency and each second operation efficiency to obtain an ordering result. According to the ordering result, the start-stop state of the replacement device in the target time period is determined, and the start-stop state of each power device except the replacement device in the target time period is determined. In this way, the start-stop state of the replacement device and each power device except the replacement device can be reasonably and accurately controlled, that is, accurate control of the power device is realized.

[0118] In order to more clearly understand the technical solutions of the present application, a more detailed embodiment is provided for description. As shown in Figure 5 The implementation subject of this embodiment is a computer device, which interacts with a data synchronization support system, as shown in Figure 6As shown, the schematic diagram of the computer device interacting with the data synchronization support device. The computer device includes device management unit, data management unit, collective production and operation management unit, energy consumption analysis management unit, energy consumption comparison management unit, energy consumption analysis large screen, alarm management unit. The data synchronization support device includes a data synchronization support system, that is, the data synchronization support system of the data synchronization support device interacts with the computer device. The system provides a set of business management systems for the computer device to provide background information support. Among them, the device management unit: maintains the device account data, and maintains the account information of different dimensions such as subsets, production lines and processes. The data management unit: records and retains data synchronization, and processes raw signal data. The collective production and operation management unit: maintains the collective daily production and operation information, such as time dimension (annual, quarterly and monthly, etc.) and other dimensions (department, production line and process, etc.) and other combined dimension information entry, such as production value and output information, production line and process information of the collective. At the same time, the key information of the industry is also provided with data entry function. Energy consumption analysis management (energy efficiency analysis management) unit: maintenance of various index rules, display of basic data values of various indexes. Energy consumption comparison management (energy efficiency benchmarking management) unit: generates specific energy efficiency benchmarking scheme, formulates combination start-stop strategy, monitors execution status and execution effect. Energy consumption (energy efficiency) analysis large screen: used for visual display of various indexes, energy efficiency benchmarking analysis of various indexes, combination start-stop strategy information and analysis report, etc. Alarm management unit: configure rules, thresholds and alarm information of various indexes. The specific steps are as follows:

[0119] First step: data collection: in the process of determining the power consumption of the power equipment, the computer device obtains the power consumption collected by the power collection and reporting device deployed on the power equipment and upstream line.

[0120] Second step: data processing: the power collection and reporting device can report the collected raw message once every preset time interval, and the raw message includes power information, three-phase voltage and current information, etc. The current collection and reporting device converts the raw message into a data structure of a preset format.

[0121] Third step: data entry: the data structure is initialized to the time sequence library, and the data structure can be dimensioned by minutes, or by hours, etc. If it cannot be normally entered, manual intervention can be introduced.

[0122] Fifth step: energy consumption value calculation: for each dimension, obtain the electricity consumption and output value of each sub-time period corresponding to the dimension in the preset time period. For each dimension and each sub-time period, the proportion of the electricity consumption and output value corresponding to the dimension in the sub-time period is taken as the energy consumption value corresponding to the dimension. The dimension includes the collective dimension of the collective to which the target device belongs, the sub-collective dimension of the sub-collective in the collective, the process dimension of the process in the sub-collective, the production line dimension of the production line in the process, and the product dimension.

[0123] The sixth step is: energy consumption value comparison analysis: according to each sub time period in the preset time period, determine each adjacent time period set, each adjacent time period set includes adjacent first sub time period and second sub time period; for each adjacent time period set, according to the energy consumption value of the collective dimension of the first sub time period and the energy consumption value of the collective dimension of the second sub time period corresponding to the adjacent time period set, determine the change rate corresponding to the adjacent time period set, fuse the change rates corresponding to each adjacent time period set respectively, and obtain the trend value; select a target adjacent time period set from a plurality of adjacent time period sets, and take the change rate corresponding to the target adjacent time period set as a first change rate; determine an adjacent time period adjacent to the preset time period, and determine a third sub time period corresponding to a target serial number in the preset time period, and determine a fourth sub time period corresponding to the target serial number in the adjacent time period; according to the energy consumption value of the collective dimension of the third sub time period and the energy consumption value of the collective dimension of the fourth sub time period, determine a second change rate; fuse the trend value, the first change rate and the second change rate, and obtain a first comparison result of the collective dimension. Obtain the threshold range of the collective dimension corresponding to the abnormal equipment; in the case that the first comparison result is within the threshold range of the collective dimension, it is determined that there is an abnormal equipment in the collective; in the case that the first comparison result is not within the threshold range of the collective dimension, it is determined that there is no abnormal equipment in the collective. In the case that it is determined according to the first comparison result that there is an abnormal equipment in the collective, for each sub collective, according to the energy consumption value of the sub collective dimension corresponding to the sub collective in the preset time period, through energy consumption comparison processing, obtain the second comparison result corresponding to each sub collective respectively; in the case that it is determined according to the second comparison result that there is at least one sub collective with abnormal equipment, the sub collective with abnormal equipment is taken as a target sub collective, and for each process in the target sub collective, according to the energy consumption value of the process dimension corresponding to the process in the preset time period, through energy consumption comparison processing, obtain the third comparison result corresponding to each process respectively; in the case that it is determined according to the third comparison result that there is at least one process with abnormal equipment, the process with abnormal equipment is taken as a target process, and according to each production line in the target process, according to the energy consumption value of the production line dimension corresponding to the production line in the preset time period, through energy consumption comparison processing, obtain the fourth comparison result corresponding to each production line respectively; in the case that it is determined according to the fourth comparison result that there is at least one production line with abnormal equipment, the production line with abnormal equipment is taken as a target production line, and each equipment in the target production line is taken as an abnormal equipment.

[0124] After the abnormal equipment is determined, as Figure 7As shown, specifically: the request is initiated by the energy management personnel, according to the device library of the operation service of the platform, the multiple power devices in the group are sorted, the computer device determines the payback time of the replacement device corresponding to the abnormal device. The computer device determines whether the replacement device is needed according to the device energy efficiency analysis in the functional capability of the platform, wherein the device energy efficiency analysis provides a decision reference for the computer device. Alternatively, the computer device determines whether the replacement device is needed according to the payback time. In the case that the payback time of the replacement device is within the time range, the abnormal device is updated to the replacement device. The first running efficiency and each second running efficiency are sorted from large to small to obtain a sorting result. According to the sorting result, the start-stop state of the replacement device in the target time period is determined, and the start-stop state of the power device except the replacement device in the target time period is determined, so as to obtain the optimal start-stop strategy, and the optimal start-stop strategy is executed. According to the income statistics, operation reminder alarm information sent by the functional capability of the platform, the optimal start-stop strategy is monitored, according to the monitoring result, it is judged whether to execute according to the optimal start-stop strategy, if not, return to the step of re-specifying the optimal start-stop strategy and continue to execute. If yes, continue to execute according to the optimal start-stop strategy until the end. Alternatively, the computer device divides the replacement device and the power device except the replacement device into auxiliary facility type devices and non-auxiliary facility type devices. For auxiliary facility type devices, test the running efficiency of each auxiliary facility type device, and according to each running efficiency, formulate an optimal start-stop strategy, and execute the optimal start-stop strategy, and monitor the optimal start-stop strategy according to the income statistics, operation reminder alarm information sent by the functional capability of the platform. According to the monitoring result, it is judged whether to execute according to the optimal start-stop strategy, if not, return to the step of re-specifying the optimal start-stop strategy and continue to execute. If yes, continue to execute according to the optimal start-stop strategy until the end. For non-auxiliary facility type devices, the production director jointly tests the running efficiency of each non-auxiliary facility type device, so as to obtain the optimal start-stop strategy, and executes the optimal start-stop strategy, and monitors the optimal start-stop strategy according to the income statistics, operation reminder alarm information sent by the functional capability of the platform. According to the monitoring result, it is judged whether to execute according to the optimal start-stop strategy, if not, return to the step of re-specifying the optimal start-stop strategy and continue to execute. If yes, continue to execute according to the optimal start-stop strategy until the end.

[0125] In the embodiment, the energy consumption values corresponding to each dimension in a preset time period are obtained, the dimensions including a collective dimension of a collective to which the target device belongs, a sub-collective dimension of a sub-collective in the collective, a process dimension of a process in the sub-collective, and a production line dimension of a production line in the process. According to the energy consumption values of the collective dimension in the preset time period, a first comparison result of the collective dimension is obtained through energy consumption comparison processing. In a case where it is determined according to the first comparison result that there is an abnormal device in the collective, an abnormal device is determined from the plurality of power devices in the collective according to the energy consumption values of the sub-collective dimension, the process dimension, and the production line dimension in the preset time period. In this way, whether there is an abnormal device in the collective can be detected in a timely and accurate manner according to the energy consumption values of the collective dimension. In a case where it is determined that there is an abnormal device, the abnormal device is further accurately located in combination with the energy consumption values of the sub-collective dimension, the process dimension, and the production line dimension. The payback time of a replacement device corresponding to the abnormal device is determined. In a case where the payback time of the replacement device is within a time range, the abnormal device is updated to the replacement device in a timely manner. The first running efficiency of the replacement device and the second running efficiency of the power devices other than the replacement device in the collective are determined, and the start-stop state of the replacement device and the power devices other than the replacement device can be reasonably and accurately controlled in combination with the first running efficiency and the second running efficiency, that is, accurate control of the power devices is achieved. In addition, personnel can intuitively view the energy consumption values under different dimensions, greatly improving the efficiency of data analysis.

[0126] It should be understood that, although each step in the flowchart involved in each of the above-described embodiments is shown in sequence according to the direction of the arrow, these steps are not necessarily executed in sequence according to the direction of the arrow. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other sequences. Moreover, at least part of the steps in the flowchart involved in each of the above-described embodiments can include multiple steps or stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these steps or stages is not necessarily sequential, but can be executed in rotation or alternation with at least part of other steps or stages or steps or stages in other steps.

[0127] Based on the same inventive concept, the embodiments of the present application also provide a control device for the power device for implementing the control method of the power device described above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, and therefore the specific limitations in one or more control device embodiments of the power device provided below can refer to the limitations of the control method of the power device described above, which will not be described here again.

[0128] In one embodiment, asFigure 8 As shown, a control device of a power equipment is provided, comprising: an acquisition module 802, a determination module 804, an update module 806 and a control module 808, wherein:

[0129] The acquisition module 802 is configured to acquire energy consumption values corresponding to each dimension in a preset time period, wherein the dimensions include a collective dimension of a collective to which a target device belongs, a sub-collective dimension of a sub-collective in the collective, a process dimension of a process in the sub-collective, and a production line dimension of a production line in the process.

[0130] The determination module 804 is configured to obtain a first comparison result of the collective dimension by energy consumption comparison processing according to the energy consumption values of the collective dimension in the preset time period, and in a case where it is determined according to the first comparison result that there is an abnormal device in the collective, determine the abnormal device from a plurality of power equipment in the collective according to the energy consumption values of the sub-collective dimension, the energy consumption values of the process dimension and the energy consumption values of the production line dimension in the preset time period.

[0131] The update module 806 is configured to determine a payback time of a replacement device corresponding to the abnormal device, and update the abnormal device to the replacement device in a case where the payback time of the replacement device is within a time range.

[0132] The control module 808 is configured to determine a first running efficiency of the replacement device and a second running efficiency of power equipment other than the replacement device in the collective, and control start-stop states of the replacement device and the power equipment other than the replacement device according to the first running efficiency and the second running efficiency.

[0133] In an embodiment, the acquisition module is configured to acquire power consumption and output value corresponding to each dimension in a preset time period. For each dimension, the proportion of the power consumption and the output value corresponding to the dimension is taken as the energy consumption value corresponding to the dimension.

[0134] In an embodiment, the determining module is configured to determine, according to each sub time period in the preset time period, each adjacent time period set, each adjacent time period set including adjacent first and second sub time periods. For each adjacent time period set, determine a change rate corresponding to the adjacent time period set according to the energy consumption value of the collective dimension of the first sub time period and the energy consumption value of the collective dimension of the second sub time period corresponding to the adjacent time period set. Fuse the change rates corresponding to each adjacent time period set to obtain a trend value. Select a target adjacent time period set from the plurality of adjacent time period sets, and take the change rate corresponding to the target adjacent time period set as a first change rate. Determine an adjacent time period adjacent to the preset time period, and determine a third sub time period corresponding to the target serial number in the preset time period, and determine a fourth sub time period corresponding to the target serial number in the adjacent time period. Determine a second change rate according to the energy consumption value of the collective dimension of the third sub time period and the energy consumption value of the collective dimension of the fourth sub time period. Fuse the trend value, the first change rate, and the second change rate to obtain a first comparison result of the collective dimension.

[0135] In an embodiment, the determining module is further configured to obtain a threshold range of the collective dimension corresponding to the abnormal device. In a case where the first comparison result is within the threshold range of the collective dimension, it is determined that the collective has the abnormal device. In a case where the first comparison result is not within the threshold range of the collective dimension, it is determined that the collective has no abnormal device.

[0136] In an embodiment, in a case where the determining module determines that the collective has the abnormal device according to the first comparison result, for each sub collective, the determining module is configured to obtain, according to the energy consumption value of the sub collective dimension corresponding to the sub collective in the preset time period, a second comparison result corresponding to each sub collective by energy consumption comparison processing. In a case where at least one sub collective having the abnormal device is determined according to the second comparison results, the sub collective having the abnormal device is taken as a target sub collective, and for each process in the target sub collective, a third comparison result corresponding to each process is obtained by energy consumption comparison processing according to the energy consumption value of the process dimension corresponding to the process in the preset time period. In a case where at least one process having the abnormal device is determined according to the third comparison results, the process having the abnormal device is taken as a target process, and a fourth comparison result corresponding to each production line is obtained by energy consumption comparison processing according to the energy consumption value of the production line dimension corresponding to the production line in the preset time period. In a case where at least one production line having the abnormal device is determined according to the fourth comparison results, the production line having the abnormal device is taken as a target production line, and each device in the target production line is taken as an abnormal device.

[0137] In an embodiment, the control module is configured to sort the first operation efficiency and each second operation efficiency from large to small to obtain a sorting result. According to the sorting result, the start-stop state of the replacement device in the target time period is determined, and the start-stop state of the power device other than the replacement device in the target time period is determined.

[0138] The modules in the control device of the power device can be implemented by software, hardware, or a combination thereof. The modules can be embedded in a processor in a computer device or independent of the processor, or stored in a memory in the computer device in a software form, so as to be invoked and executed by the processor.

[0139] In an embodiment, a computer device is provided, which can be a server. An internal structure diagram of the computer device can be as shown in FIG. 1. Figure 9 The computer device includes a processor, a memory, an input / output interface, and a communication interface. The processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for running of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is configured to exchange information between the processor and external devices. The communication interface of the computer device is configured to communicate with a terminal through a network connection. The computer program is executed by the processor to implement the control method of the power device.

[0140] Those skilled in the art can understand that Figure 9 The structure shown in FIG. 1 is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. Specifically, the computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0141] In an embodiment, a computer device is also provided, which includes a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0142] In an embodiment, a computer readable storage medium is provided, which stores a computer program. The computer program is executed by a processor to implement the steps in the above method embodiments.

[0143] In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of any of the above method embodiments.

[0144] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant laws, regulations and standards of relevant countries and regions.

[0145] It can be understood by those skilled in the art that all or part of the processes in the above-mentioned embodiments can be completed by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer readable storage medium. When the computer program is executed, it can include the processes of the above-mentioned embodiments. Any reference to memory, database or other medium used in the embodiments provided by the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided by the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided by the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0146] Any technical features in the above embodiments can be combined, and for the sake of brevity, not all possible combinations are described above, however, as long as the combinations of technical features do not have contradictions, they shall be considered within the scope of the present disclosure.

[0147] The above embodiments only express several implementation manners of the present application, and the description is relatively specific and detailed, but it shall not be understood as a limitation on the patent scope of the present application. It shall be pointed out that, for ordinary skilled persons in the art, several modifications and improvements can be made without departing from the concept of the present application, and these shall be within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A control method of a power device, characterized by, The method comprises: acquiring energy consumption values corresponding to each dimension in a preset time period, the dimensions including a collective dimension of a collective to which a target device belongs, a sub-collective dimension of a sub-collective in the collective, a process dimension of a process in the sub-collective, and a production line dimension of a production line in the process; performing energy consumption comparison processing on the energy consumption values of the collective dimension in the preset time period to obtain a first comparison result of the collective dimension, and in a case where it is determined according to the first comparison result that there is an abnormal device in the collective, performing, for each sub-collective, energy consumption comparison processing on the energy consumption values of the sub-collective dimension corresponding to the sub-collective in the preset time period to obtain a second comparison result corresponding to each sub-collective respectively; in a case where it is determined according to the second comparison results that there is at least one sub-collective in which an abnormal device appears, taking the sub-collective in which an abnormal device appears as a target sub-collective, and performing, for each process in the target sub-collective, energy consumption comparison processing on the energy consumption values of the process dimension corresponding to the process in the preset time period to obtain a third comparison result corresponding to each process respectively; in a case where it is determined according to the third comparison results that there is at least one process in which an abnormal device appears, taking the process in which an abnormal device appears as a target process, and performing, for each production line in the target process, energy consumption comparison processing on the energy consumption values of the production line dimension corresponding to the production line in the preset time period to obtain a fourth comparison result corresponding to each production line respectively; in a case where it is determined according to the fourth comparison results that there is at least one production line in which an abnormal device appears, taking the production line in which an abnormal device appears as a target production line, and taking each device in the target production line as an abnormal device; determining a payback time of a replacement device corresponding to the abnormal device, and in a case where the payback time of the replacement device is within a time range, updating the abnormal device to the replacement device; determining a first running efficiency of the replacement device and a second running efficiency of a power device in the collective except the replacement device, and controlling start-stop states of the replacement device and the power device except the replacement device according to the first running efficiency and the second running efficiency.

2. The method of claim 1, wherein, The acquiring of the energy consumption values corresponding to each dimension in the preset time period comprises: acquiring power consumption and production value corresponding to each dimension in the preset time period; for each dimension, taking a ratio of the power consumption and the production value corresponding to the dimension as an energy consumption value corresponding to the dimension.

3. The method of claim 1, wherein, The energy consumption comparison processing on the energy consumption values of the collective dimension in the preset time period to obtain the first comparison result of the collective dimension comprises: determining, according to each sub-time period in the preset time period, each adjacent time period set, each adjacent time period set including adjacent first and second sub-time periods; for each adjacent time period set, determining a change rate corresponding to the adjacent time period set according to the energy consumption values of the collective dimension of the first sub-time period and the energy consumption values of the collective dimension of the second sub-time period corresponding to the adjacent time period set, and fusing change rates corresponding to each adjacent time period set to obtain a trend value; selecting a target adjacent time period set from the plurality of adjacent time period sets, and taking a change rate corresponding to the target adjacent time period set as a first change rate; determining an adjacent time period adjacent to the preset time period, and determining a third sub time period corresponding to a target serial number in the preset time period, and determining a fourth sub time period corresponding to the target serial number in the adjacent time period; determining a second change rate according to an energy consumption value of the collective dimension of the third sub time period and an energy consumption value of the collective dimension of the fourth sub time period; fusing the trend value, the first change rate and the second change rate to obtain a first comparison result of the collective dimension.

4. The method of claim 1, wherein, The method further comprises: obtaining a threshold range of the collective dimension corresponding to the abnormal device; in a case where the first comparison result is within the threshold range of the collective dimension, determining that there is an abnormal device in the collective; in a case where the first comparison result is not within the threshold range of the collective dimension, determining that there is no abnormal device in the collective.

5. The method of claim 1, wherein, The control of the start-stop state of the replacement device and the power devices other than the replacement device according to the first operation efficiency and the second operation efficiency comprises: performing sorting processing from large to small on the first operation efficiency and each second operation efficiency to obtain a sorting result; determining the start-stop state of the replacement device in a target time period and the start-stop state of the power devices other than the replacement device in the target time period according to the sorting result.

6. A control device of a power device, characterized by comprising: The device comprises: an acquisition module configured to acquire energy consumption values corresponding to respective dimensions in a preset time period, wherein the dimensions comprise a collective dimension of a collective to which a target device belongs, a sub collective dimension of a sub collective in the collective, a process dimension of a process in the sub collective, and a production line dimension of a production line in the process; The determining module is configured to: obtain a first comparison result of the collective dimension by energy consumption comparison processing according to energy consumption values of the collective dimension in a preset time period; in a case where it is determined according to the first comparison result that there is an abnormal device in the collective, obtain a second comparison result corresponding to each sub-collective respectively by energy consumption comparison processing according to energy consumption values of a sub-collective dimension corresponding to the sub-collective in the preset time period; in a case where it is determined according to the second comparison results that there is at least one sub-collective in which an abnormal device appears, take the sub-collective in which an abnormal device appears as a target sub-collective, and obtain a third comparison result corresponding to each process respectively by energy consumption comparison processing according to energy consumption values of a process dimension corresponding to the process in the preset time period; in a case where it is determined according to the third comparison results that there is at least one process in which an abnormal device appears, take the process in which an abnormal device appears as a target process, and obtain a fourth comparison result corresponding to each production line respectively by energy consumption comparison processing according to energy consumption values of a production line dimension corresponding to the production line in the preset time period; in a case where it is determined according to the fourth comparison results that there is at least one production line in which an abnormal device appears, take the production line in which an abnormal device appears as a target production line, and take each device in the target production line as an abnormal device. The updating module is configured to determine a payback time of a replacement device corresponding to the abnormal device, and update the abnormal device to the replacement device in a case where the payback time of the replacement device is within a time range. The control module is configured to determine a first running efficiency of the replacement device and a second running efficiency of power devices in the collective except the replacement device, and control start-stop states of the replacement device and the power devices except the replacement device according to the first running efficiency and the second running efficiency.

7. The apparatus of claim 6, wherein, The acquisition module is configured to acquire power consumption and output value corresponding to each dimension respectively in a preset time period; and for each dimension, take a proportion of the power consumption and the output value corresponding to the dimension as an energy consumption value corresponding to the dimension. 8.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-7. The processor executes the computer program to implement the steps of the method in any one of claims 1 to 5.

9. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the method in any one of claims 1 to 5.

10. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the method in any one of claims 1 to 5.

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