CN116485078B

CN116485078B - Multi-type energy efficiency management method and device, electronic equipment and medium

Info

Publication number: CN116485078B
Application number: CN202310737493.6A
Authority: CN
Inventors: 王程; 邱鹏飞; 董京佩; 王燕华
Original assignee: Shanxi Qingzhong Technology Co ltd; Beijing Qingzhong Shenzhou Big Data Co ltd
Current assignee: Shanxi Qingzhong Technology Co ltd; Beijing Qingzhong Shenzhou Big Data Co ltd
Priority date: 2023-06-21
Filing date: 2023-06-21
Publication date: 2023-09-08
Anticipated expiration: 2043-06-21
Also published as: CN116485078A

Abstract

The application relates to the technical field of energy management, in particular to a method, a device, electronic equipment and a medium for managing multi-type energy efficiency, wherein the method comprises the steps of collecting energy efficiency data; identifying at least one equipment identifier contained in the energy efficiency data, and integrating the energy efficiency data according to the identified at least one equipment identifier to obtain integrated matrix data; determining the working state and the corresponding sub energy efficiency quantity of each device according to the integration matrix data, determining the device priority of each device, and determining the target warning level of each device according to the corresponding relation between the device priority and the warning level; and monitoring whether the energy efficiency data of each device is abnormal according to the abnormality judgment standard of the target warning level corresponding to each device, and generating a warning signal when the abnormality occurs. The application can improve the accuracy of judging whether the equipment has abnormal energy efficiency in the operation work.

Description

Multi-type energy efficiency management method and device, electronic equipment and medium

Technical Field

The present application relates to the field of energy management technologies, and in particular, to a method, an apparatus, an electronic device, and a medium for managing multiple types of energy efficiency.

Background

In order to comply with the high-speed development of economy, more and more enterprises choose to tightly connect and fuse production lines, factories, suppliers, products and clients so as to realize efficient sharing of various element resources in industrial economy, and the effects of reducing the production cost and increasing the working efficiency in enterprises can be achieved by promoting the automatic production in enterprises to improve the fusion effect.

In order to realize the automatic production inside an enterprise, the internet of things connection is required to be established among devices inside the enterprise, and work operation information among different devices needs to be analyzed by combining software technology, so that devices with different functions and different protocols are deeply integrated, however, because devices with different functions or different protocols may have different energy sources when in operation, for example, some devices may need to consume electric energy to operate, and other devices may need to consume natural gas to operate, the automatic production inside the enterprise is closely related to multiple types of energy sources, so that most enterprises monitor and manage the multiple types of energy sources to realize direct or indirect influence on each device inside the enterprise due to the fact that the devices inside the enterprise have abnormal energy sources, but most enterprises generally adopt manual experience to judge whether each device has abnormal energy source energy sources in operation work or not, but the devices may have different abnormal judgment standards corresponding to different devices in operation work due to different energy sources, and thus the accuracy of judgment results may be lower due to manual experience when judging through manual experience.

Disclosure of Invention

In order to improve accuracy in judging whether the equipment has abnormal energy efficiency in operation, the application provides a multi-type energy efficiency management method, a multi-type energy efficiency management device, electronic equipment and a medium.

In a first aspect, the present application provides a method for managing multiple types of energy efficiency, which adopts the following technical scheme:

a multi-type energy efficiency management method, comprising:

collecting energy efficiency data, wherein the energy efficiency data comprises sub energy efficiency data of at least one device, and each sub energy efficiency data comprises a device identifier and sub energy efficiency information corresponding to each device;

identifying at least one equipment identifier contained in the energy efficiency data, and integrating information of the energy efficiency data according to the identified at least one equipment identifier to obtain integrated matrix data, wherein the integrated matrix data comprises at least one piece of sub energy efficiency information corresponding to each piece of equipment;

determining the working state of each device and the corresponding sub energy efficiency quantity according to the integration matrix data, determining the device priority of each device, determining the target warning level of each device according to the corresponding relation between the device priority and the warning level, wherein each warning level corresponds to at least one abnormality judgment standard of sub energy efficiency, and the abnormality judgment standards contained in different warning levels are different;

And monitoring whether the energy efficiency data of each device is abnormal according to the abnormality judgment standard of the target warning level corresponding to each device, and generating a warning signal when the abnormality occurs.

By adopting the technical scheme, the energy efficiency data are integrated through the plurality of devices contained in the energy efficiency data, the integrated information containing at least one sub energy efficiency corresponding to each device is obtained, the energy efficiency information corresponding to different devices is processed separately, instead of uniformly processing the different energy efficiency data corresponding to different devices, the accuracy in abnormal judgment is convenient to improve, after the energy efficiency data are divided, the device priority of each device is determined according to the working state of each device when the different sub energy efficiency is utilized and the number of the required sub energy sources of each device, and as the total amount of the required sub energy sources and the number of the required sub energy sources of the different devices in working are different, the device priority of each device is required to be determined according to the working state of each device and the number of the required sub energy sources of each device, namely the importance degree of each device is determined according to the importance degree of each device, and finally the corresponding alarm degree is determined according to the importance degree of each alarm, whether the corresponding device is in the abnormal operation standard or not in the abnormal operation is judged according to the corresponding energy efficiency of each device, and whether the abnormal operation is judged accurately in the abnormal operation is judged according to the abnormal operation standard or not.

In one possible implementation manner, the integrating the energy efficiency data according to the identified at least one device identifier to obtain integrated matrix data includes:

dividing the energy efficiency data according to the identified at least one equipment identifier to obtain sub energy efficiency data corresponding to each equipment identifier;

carrying out energy characteristic recognition on the sub energy efficiency data corresponding to each equipment identifier to obtain the energy efficiency characteristic information dimension corresponding to each equipment identifier;

and integrating the dimension of the energy efficiency characteristic information corresponding to each equipment identifier to obtain integration matrix data.

Through adopting above-mentioned technical scheme, because the energy characteristics that different energy corresponds is different, therefore the degree of accuracy that divides the sub-energy efficiency information that corresponds to same equipment through energy characteristics is higher, and the rethread integrates the mode of at least one energy with the service condition of every equipment through the matrix, and the more audio-visual service condition of looking over different equipment to same energy to and the more audio-visual service condition of looking over same equipment to different energy of being convenient for, thereby the accuracy when judging whether equipment has energy efficiency unusual is convenient for promote through integrating matrix data.

In one possible implementation manner, the determining the working state and the corresponding sub-energy efficiency number of each device according to the integration matrix data, and determining the device priority of each device includes:

determining at least one energy efficiency characteristic information corresponding to each device from the integration matrix data, wherein each energy efficiency characteristic information comprises a historical standard consumption average value and a current consumption average value of corresponding energy characteristics;

determining the consumption difference value between the historical standard consumption average value and the current consumption average value of each energy feature, and determining the working state of each energy feature according to the consumption difference value of each energy feature, wherein the working state comprises a stable state and an unstable state;

determining the energy characteristic quantity of each device according to the integration matrix data;

determining the equipment priority corresponding to the equipment with the energy characteristic quantity exceeding a first preset threshold and the energy characteristic quantity exceeding a second preset threshold in the corresponding energy characteristic, wherein the working state of the equipment is stable, as the first priority;

determining the equipment priority corresponding to the equipment with the energy characteristic quantity exceeding the first preset threshold and the working state being the stable state in the corresponding energy characteristic quantity not exceeding the second preset threshold as the second priority;

Determining the equipment priority corresponding to the equipment with the energy characteristic quantity not exceeding the first preset threshold and the energy characteristic quantity with the working state being the stable state in the corresponding energy characteristic exceeding the second preset threshold as the third priority;

and determining the equipment priority corresponding to the equipment, of which the number of the energy features does not exceed the first preset threshold and the number of the energy features, of which the working state is stable, in the corresponding energy features does not exceed the second preset threshold, as the fourth priority.

By adopting the technical scheme, whether the consumption of each energy feature is standard or not is determined through the consumption difference value between the historical standard consumption average value and the current consumption average value, so that whether the working state of each energy feature is stable or not is determined, the working state corresponding to the energy feature with the large difference value between the current consumption average value and the historical standard consumption average value is determined to be an unstable state, the type corresponding to the equipment is determined together through statistics on the number of the energy features corresponding to each equipment and the number of the energy features corresponding to each equipment, and therefore accuracy in equipment priority determination is facilitated.

In one possible implementation manner, after determining the target alert level of each device according to the correspondence between the device priority and the alert level, the method further includes:

Acquiring influence equipment of each equipment in a preset influence range;

acquiring workflow information of each influencing device, and determining the device type of each influencing device in a corresponding preset influence range according to the workflow information of each influencing device, wherein the device type comprises an active influence type and a passive influence type;

determining an adjustment level of each device according to the number of influencing devices contained in a preset influence range of each device and the device type of each influencing device;

and adjusting the target warning level of each device according to the adjustment level of each device.

By adopting the technical scheme, the level to be adjusted is determined according to the number of the influencing devices of the target device and the device type of each influencing device, rather than randomly adjusting the warning level to be adjusted, and the accuracy in adjusting the warning level is convenient to improve by the type and the number of the influencing devices.

In one possible implementation manner, before the acquiring the influence device of each device within the preset influence range, the method further includes:

when the working area contains a plurality of devices, the working positions of the plurality of devices in the working area are obtained;

dividing the working area according to the corresponding working positions of the plurality of devices to obtain at least one divided area, wherein the interval distance between the devices contained in each divided area is smaller than a preset threshold value;

Each device in the partitioned area is subjected to influencing device acquisition.

By adopting the technical scheme, the working area is divided according to the working position of each device, whether the warning level of the devices in the divided area needs to be adjusted is judged according to the quantity of the devices contained in each divided area, instead of judging the warning levels corresponding to all the devices, some devices with lower association degree with other devices can be removed through area division, and whether the warning level of the devices with higher association degree with other devices needs to be adjusted is judged through judging only the frequency of data analysis and operation by a computer is conveniently reduced, so that the workload of the computer is conveniently lightened, and the rate of the computer in processing data is conveniently improved.

In one possible implementation manner, the determining the adjustment level of each device according to the number of influencing devices included in the preset influence range of each device and the device type of each influencing device includes:

determining a first weight value of each device according to the corresponding relation between the number of the influence devices and the first weight value contained in the preset influence range of each device;

Determining the number of each equipment type according to the equipment type of each influencing equipment in the preset influence range of each equipment, and determining a second weight value of each equipment according to the number of each equipment type and the corresponding relation between the number of the equipment types and the second weight value;

determining a target weight value of each device according to the first weight value and the second weight value of each device;

and determining the adjustment level of each device according to the corresponding relation between the weight and the adjustment level.

By adopting the technical scheme, as the number of the influence devices in the influence area is larger, when the central devices in the influence area fail, the damage generated by the influence area is larger, so when the adjustment level corresponding to the central devices in the influence area is determined, the determination is needed according to the number of the influence devices in the influence area, and in addition, the influence of different device types in the influence devices on the normal workflow is different, therefore, when the adjustment level is determined according to the number of the influence devices, the influence caused by the device types of the influence devices is also considered, and the adjustment level of each central device is determined jointly according to the number of the influence devices and the type of the influence devices, so that the accuracy in determining the adjustment level is convenient to improve.

In one possible implementation manner, the monitoring whether the energy efficiency data of each device is abnormal according to the abnormality judgment standard of the target alert level corresponding to each device, and generating an alert signal when the abnormality occurs, includes:

judging whether at least one piece of sub energy efficiency information corresponding to each device accords with the standard according to the abnormality judgment standard of the target warning level corresponding to each device;

determining sub energy efficiency information which does not accord with the standard as abnormal information, and recording corresponding abnormal equipment;

determining a target warning type corresponding to the abnormal equipment according to the target warning level of the abnormal equipment and the corresponding relation between the preset warning level and the warning type;

and generating an alarm signal according to the abnormal equipment, the abnormal information and the target alarm type.

By adopting the technical scheme, because the abnormal judgment conditions of different devices are different, after the warning signal is generated, related technicians are difficult to distinguish the warning device and the warning reason, the warning types corresponding to different warning grades are distinguished, and the warning signal is determined according to the abnormal device and the abnormal information, so that the related technicians can take remedial measures in time according to the warning signal.

In a second aspect, the present application provides a multi-type energy efficiency management apparatus, which adopts the following technical scheme:

a multi-type energy efficiency management apparatus comprising:

the system comprises a data acquisition module, a data acquisition module and a data processing module, wherein the data acquisition module is used for acquiring energy efficiency data, the energy efficiency data comprises sub energy efficiency data of at least one device, and each sub energy efficiency data comprises a device identifier and sub energy efficiency information corresponding to each device;

the data integration module is used for identifying at least one equipment identifier contained in the energy efficiency data, integrating the information of the energy efficiency data according to the identified at least one equipment identifier to obtain integration matrix data, wherein the integration matrix data comprises at least one piece of sub energy efficiency information corresponding to each piece of equipment;

the warning grade determining module is used for determining the working state of each device and the corresponding sub-energy efficiency quantity according to the integration matrix data, determining the device priority of each device, determining the target warning grade of each device according to the corresponding relation between the device priority and the warning grade, wherein each warning grade corresponds to at least one abnormality judgment standard of the sub-energy efficiency, and the abnormality judgment standards contained in different warning grades are different;

The abnormality monitoring module is used for monitoring whether the energy efficiency data of each device is abnormal according to the abnormality judgment standard of the target warning level corresponding to each device, and generating a warning signal when the abnormality occurs.

In one possible implementation manner, the data integration module is specifically configured to, when integrating the energy efficiency data according to the identified at least one device identifier to obtain integrated matrix data:

In one possible implementation manner, the alert level determining module is specifically configured to, when determining the working state and the corresponding number of sub-energy efficiency of each device according to the integration matrix data, determine the device priority of each device:

In one possible implementation, the apparatus further includes:

the influence equipment acquisition module is used for acquiring influence equipment of each equipment in a preset influence range;

The equipment type determining module is used for acquiring the workflow information of each influencing equipment, and determining the equipment type of each influencing equipment in a corresponding preset influence range according to the workflow information of each influencing equipment, wherein the equipment type comprises an active influence type and a passive influence type;

the adjustment grade determining module is used for determining the adjustment grade of each device according to the number of the influence devices contained in the preset influence range of each device and the device type of each influence device;

and the adjustment level module is used for adjusting the target warning level of each device according to the adjustment level of each device.

In one possible implementation, the apparatus further includes:

the working position acquisition module is used for acquiring the working positions of a plurality of devices in the working area when the working area contains the plurality of devices;

the area dividing module is used for dividing the working area into areas according to the corresponding working positions of the plurality of devices to obtain at least one divided area, and the interval distance between the devices contained in each divided area is smaller than a preset threshold value;

and determining an influencing device module, which is used for carrying out influencing device acquisition on each device in the divided area.

In one possible implementation manner, the adjustment level determining module is specifically configured to, when determining the adjustment level of each device according to the number of influencing devices included in the preset influence range of each device and the device type of each influencing device:

In one possible implementation manner, the anomaly monitoring module monitors whether the energy efficiency data of each device is abnormal according to the anomaly judgment standard of the target warning level corresponding to each device, and when generating a warning signal when the anomaly occurs, is specifically configured to:

In a third aspect, the present application provides an electronic device, which adopts the following technical scheme:

an electronic device, the electronic device comprising:

at least one processor;

a memory;

at least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application configured to: the method for managing the multi-type energy efficiency is implemented.

In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:

a computer-readable storage medium, comprising: a computer program capable of being loaded by a processor and executing the above-described multi-type energy efficiency management method is stored.

In summary, the present application includes at least one of the following beneficial technical effects:

the method comprises the steps of integrating the energy efficiency data through a plurality of devices contained in the energy efficiency data to obtain integrated information containing at least one piece of sub energy efficiency corresponding to each device, processing the energy efficiency information corresponding to different devices separately instead of uniformly processing the different energy efficiency data corresponding to different devices, facilitating improvement of accuracy in abnormal judgment, dividing the energy efficiency data, determining the device priority of each device according to the working state of each device when the different sub energy efficiency is utilized and the number of sub energy sources required by each device, determining whether the device is in the abnormal operation according to the corresponding judging standard in the warning grade, and judging whether the device is in the abnormal operation according to the same energy efficiency judging standard or not.

Because the energy characteristics that different energy corresponds are different, therefore the degree of accuracy that divides the sub-energy efficiency information that corresponds to same equipment through energy characteristics is higher, and the rethread integrates the mode of at least one energy with the use condition of every equipment to the same energy through the matrix, is convenient for more audio-visual the use condition of different equipment to the same energy to and the use condition of same equipment to different energy is convenient for more audio-visual to look over, thereby is convenient for promote the accuracy when judging whether equipment has energy efficiency unusual through integrating matrix data.

Drawings

FIG. 1 is a schematic flow chart of a method for managing multi-type energy efficiency according to an embodiment of the present application;

FIG. 2 is a schematic diagram of a priority determination mode in an embodiment of the present application;

FIG. 3 is a schematic diagram illustrating an alert level adjustment method according to an embodiment of the present application;

FIG. 4 is a schematic view of a region division according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a multi-type energy management device according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

The application is described in further detail below with reference to fig. 1-6.

Modifications of the embodiments which do not creatively contribute to the application may be made by those skilled in the art after reading the present specification, but are protected by patent laws within the scope of the claims of the present application.

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

Specifically, the embodiment of the application provides a multi-type energy efficiency management method, which is executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, and the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server for providing cloud computing service. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, etc., but is not limited thereto, and the terminal device and the server may be directly or indirectly connected through a wired or wireless communication manner, which is not limited herein.

Referring to fig. 1, fig. 1 is a flow chart of a multi-type energy efficiency management method according to an embodiment of the application, the method includes step S110, step S120, step S130, and step S140, wherein:

step S110: and collecting energy efficiency data.

The energy efficiency data comprises sub energy efficiency data of at least one device, and each sub energy efficiency data comprises a device identifier and sub energy efficiency information corresponding to each device.

Specifically, because the functions corresponding to different devices are different, the corresponding required energy sources may be different, and when the same device operates normally, different types of energy sources may be received, for example, the same device may operate normally after being electrified and may also operate normally after natural gas is introduced, so when the energy efficiency data is collected, each device may correspond to one piece of sub-energy efficiency information, and may also have a plurality of pieces of sub-energy efficiency information. Because the equipment identifiers corresponding to different equipment are different, the sub-energy efficiency data corresponding to the equipment is formed together according to the equipment identifier of each equipment and at least one piece of sub-energy efficiency information corresponding to the equipment, so that the sub-energy efficiency data is convenient to distinguish. Because a plurality of different devices may exist in the enterprise, the collected energy efficiency data includes sub energy efficiency data corresponding to at least one device. The sub-energy efficiency information includes an energy supplementing amount and an energy consumption rate, where the energy supplementing amount and the energy consumption rate may be recorded by an energy flowmeter disposed between the energy supplementing device and the energy consumption device and uploaded to the electronic device, or may be manually uploaded to the electronic device after being manually recorded by a related worker.

Step S120: and identifying at least one equipment identifier contained in the energy efficiency data, and integrating the information of the energy efficiency data according to the identified at least one equipment identifier to obtain integrated matrix data.

The integration matrix data comprises at least one piece of sub energy efficiency information corresponding to each device.

Specifically, because the same device may correspond to a plurality of sub-energy efficiency information, and a plurality of devices may exist in the enterprise, although the collected energy efficiency data may distinguish between different devices through the device identifier included in each sub-energy efficiency data, at least one sub-energy efficiency information corresponding to all the collected devices is randomly stored, the data is more dispersed, and it is difficult to check the energy use conditions of different devices in the whole enterprise, and it is difficult to check at least one energy efficiency use condition corresponding to the same device. And the energy efficiency data are classified and integrated through each device identifier to obtain an integration matrix, and the use condition of each device on different energy sources can be checked through the integration matrix data.

Step S130: and determining the working state of each device and the corresponding sub-energy efficiency quantity according to the integration matrix data, determining the device priority of each device, and determining the target warning level of each device according to the corresponding relation between the device priority and the warning level.

Each warning level corresponds to at least one abnormal judgment standard of energy efficiency of sub energy sources, and the abnormal judgment standards contained in different warning levels are different.

Specifically, the working state of each device is conveniently determined by analyzing the use condition of at least one required energy source of each device in the integration matrix data, wherein the working state of each device comprises a stable state and an unstable state, when the device operates by applying a certain required energy source, the change amplitude of energy efficiency information corresponding to the required energy source in a preset time period is smaller, and the working state of the device when the required energy source is applied is represented as the stable state; when the equipment operates by applying a certain required energy, the energy efficiency information corresponding to the required energy changes greatly in a preset time period, and the working state of the equipment when the required energy is applied is represented as an unstable state.

The integrated matrix data after information integration comprises energy efficiency information of all required energy sources corresponding to all devices, and the required energy source quantity corresponding to each device is conveniently determined through the integrated matrix data. In addition, the energy required by the device is the energy required by the device in normal operation, so the more the energy required by the device, the less the device has a fault probability, for example, the device with the number 001 can input power, natural gas or coal in normal operation, if the device has a fault in the operation process, the device can also start to use the natural gas or the coal to realize normal operation, the device with the number 004 can only input power in normal operation, and if the device has a fault in the operation process, the device cannot continue to operate. Therefore, in determining the alert level of the device, in addition to considering the operating state of the device, the amount of energy that the device can start, i.e., the amount of energy that the device needs to operate normally, needs to be considered.

The corresponding relation between the device priority and the warning level can be determined by historical monitoring data, and specific contents can be added, deleted or modified by relevant technicians, and the method is not particularly limited in the embodiment of the application.

Step S140: and monitoring whether the energy efficiency data of each device is abnormal according to the abnormality judgment standard of the target warning level corresponding to each device, and generating a warning signal when the abnormality occurs.

Specifically, the abnormality judgment standards corresponding to different warning levels are different, the abnormality judgment standard corresponding to the higher the warning level is, for example, the warning level of the device 001 is one level, the warning level of the device 002 is two levels, when the device 001 and the device 002 work by using the same energy source, the device 001 and the device 002 are different in corresponding judgment standard, for example, when the coal consumption rate of the device 001 is lower than 350 g/(kw.h), the warning signal is generated when the coal consumption rate of the device 002 is lower than 400 g/(kw.h) due to the higher warning level of the device 002, and the generated warning signal is used for reminding related personnel of timely finding abnormality, so that the related personnel can conveniently and timely process the abnormality.

According to the embodiment of the application, the energy efficiency data are integrated through a plurality of devices contained in the energy efficiency data, so that integrated information containing at least one sub energy efficiency corresponding to each device is obtained, the energy efficiency information corresponding to different devices is processed separately, instead of uniformly processing the different energy efficiency data corresponding to different devices, the accuracy in abnormal judgment is convenient to improve, after the energy efficiency data are divided, the device priority of each device is determined according to the working state of each device when the different sub energy efficiencies are utilized and the number of the sub energy required by each device, and as the total amount of the sub energy required by the different devices in operation and the number of the sub energy required by each device are different, the device priority of each device is required to be determined according to the working state of each device and the number of the sub energy required by each device, namely the importance degree of each device is determined according to the importance degree of each device, the corresponding grade is determined according to the alarm degree of each device, and finally, the abnormal energy efficiency is judged according to the corresponding energy efficiency in the corresponding judging grade, and whether the abnormal energy efficiency is judged to the same in the abnormal operation standard or not is judged according to the required by the abnormality.

Further, when the energy efficiency data is integrated according to the identified at least one device identifier to obtain integrated matrix data, the method specifically includes: dividing the energy efficiency data according to the identified at least one equipment identifier to obtain sub energy efficiency data corresponding to each equipment identifier; carrying out energy characteristic recognition on the sub energy efficiency data corresponding to each equipment identifier to obtain the energy efficiency characteristic information dimension corresponding to each equipment identifier; and integrating the dimension of the energy efficiency characteristic information corresponding to each equipment identifier to obtain integration matrix data.

Specifically, because the collected energy efficiency data includes sub energy efficiency data corresponding to at least one device, and the sub energy efficiency data corresponding to each device may include sub energy efficiency information corresponding to at least one required energy, the data are scattered, so that the sub energy efficiency data corresponding to each device identifier can be obtained by primarily dividing according to the device identifier, a certain device identifier can be used as a target device identifier when the collected energy efficiency data is primarily divided according to the device identifier, and at least one sub energy efficiency data including the target device identifier is selected from the plurality of sub energy efficiency data.

Because the measurement units and the energy efficiency units adopted by different energy sources are different, for example, a cube is generally used as the measurement unit of natural gas, and a degree is generally used as the measurement unit of electric quantity, when the energy characteristic identification is carried out on sub-energy efficiency data, the measurement unit can be used as a target energy characteristic to identify the energy efficiency characteristic information dimension corresponding to a certain equipment from at least one sub-energy efficiency data corresponding to the equipment identifier, wherein the energy type used by the equipment is conveniently determined through the energy efficiency characteristic information dimension corresponding to the equipment identifier, and finally, the energy efficiency characteristic information dimension corresponding to each equipment identifier is integrated to obtain integration matrix data, for example, the equipment with the number 001 can input electric power, natural gas and coal in normal operation; the equipment with the number of 002 can input coal during normal operation; the equipment with the number 003 can input natural gas and coal during normal operation, and the integrated matrix data obtained after integration are:

；

the integration matrix data can be used for displaying different kinds of energy used by different devices and can also be used for displaying energy efficiency information when different kinds of energy are used by different devices.

Further, when determining the working state and the corresponding number of sub energy efficiency of each device according to the integration matrix data and determining the device priority of each device, the method specifically includes steps Sa1 to Sa7, as shown in fig. 2, where:

step Sa1: and determining at least one energy efficiency characteristic information corresponding to each device from the integration matrix data, wherein each energy efficiency characteristic information comprises a historical standard consumption average value and a current consumption average value corresponding to the energy characteristics.

Specifically, the historical standard consumption average is used for representing the historical standard energy consumption rate in the unit working period, and the current consumption average is used for representing the current energy consumption rate in the unit working period. Since there are devices capable of inputting multiple energy sources, for example, the device 001 can run by means of energy provided by electric power, natural gas and coal, the energy efficiency characteristic information of the device 001 includes a historical standard usage average value and a current usage average value of the electric power energy source, a historical standard usage average value and a current usage average value of the natural gas energy source, and a historical standard usage average value and a current usage average value of the coal energy source.

Step Sa2: and determining the consumption difference value between the historical standard consumption average value and the current consumption average value of each energy characteristic, and determining the working state of each energy characteristic according to the consumption difference value of each energy characteristic, wherein the working state comprises a stable state and an unstable state.

Specifically, when the consumption difference value corresponding to a certain energy characteristic is higher than a preset standard difference value, the use state of the equipment is represented as an unstable state when the equipment uses the energy; and when the consumption difference value corresponding to the energy characteristic is not higher than the preset standard difference value, characterizing that the use state of the equipment is a stable state when the equipment uses the energy, wherein the corresponding working state of the equipment comprises the use state of at least one energy characteristic.

Step Sa3: and determining the energy characteristic quantity of each device according to the integration matrix data.

Specifically, since the integration matrix data is divided and integrated according to each device identifier, the energy characteristic quantity of each device can be determined by counting the sum of non-zero data corresponding to each device identifier in the integration matrix data, that is, the required energy quantity of each device is conveniently determined.

Step Sa4: and determining the equipment priority corresponding to the equipment with the energy characteristic quantity exceeding the first preset threshold and the energy characteristic quantity exceeding the second preset threshold in the stable working state in the corresponding energy characteristics as the first priority.

Step Sa5: determining the equipment priority corresponding to the equipment with the energy characteristic quantity exceeding the first preset threshold and the working state being the stable state in the corresponding energy characteristic quantity not exceeding the second preset threshold as the second priority;

Step Sa6: and determining the equipment priority corresponding to the equipment with the energy characteristic quantity not exceeding the first preset threshold and the energy characteristic quantity with the working state being the stable state in the corresponding energy characteristic exceeding the second preset threshold as the third priority.

Step Sa7: and determining the equipment priority corresponding to the equipment, of which the number of the energy features does not exceed the first preset threshold and the number of the energy features, of which the working state is stable, in the corresponding energy features does not exceed the second preset threshold, as the fourth priority.

Specifically, since the device priority is related to the alert level, the higher the device priority is, the higher the alert level corresponding to the higher the device priority is, that is, the higher the abnormality judgment standard corresponding to the higher the device priority is, the higher the probability of the device failure when the device with the higher device priority is abnormal in terms of energy efficiency, so that the abnormality judgment standard of the device with the higher device priority needs to be improved, the abnormality existing in the device needs to be found as soon as possible, and the probability of the device failure is reduced.

The determining process of the priority judging condition comprises the following steps:

establishing an energy characteristic quantity matrix asAnd the state quantity matrix is +.>，

Priority judgment condition=matrix a×matrix b=matrix B ；

The equipment priority corresponding to the equipment meeting the requirement of A1B1 is a first priority;

meanwhile, the equipment priority corresponding to the equipment meeting the requirement of A1B2 is a second priority;

meanwhile, the equipment priority corresponding to the equipment meeting the requirement of A2B1 is a third priority;

meanwhile, the equipment priority corresponding to the equipment meeting the requirement of A2B2 is a fourth priority;

a1 is used for representing that the characteristic quantity of energy sources exceeds a first preset threshold value;

a2, the characteristic quantity of the energy is used for representing that the characteristic quantity of the energy does not exceed a first preset threshold value;

b1 is used for representing that the quantity of the energy features with stable working states in the energy features corresponding to the equipment exceeds a second preset threshold;

b2 is used for representing that the quantity of the energy features with the working states being stable states in the corresponding energy features does not exceed a second preset threshold.

It should be noted that the first preset threshold and the second preset threshold may be determined by a related person, and are not particularly limited in the embodiment of the present application.

Further, in addition to the working state of the device and the corresponding number of energy features can affect the alert level of the device, the number of devices affected when the device fails also affects the alert level of the device, and the method further includes steps Sb 1-Sb 4, as shown in fig. 3, where:

Step Sb1: and acquiring influence equipment of each equipment in a preset influence range.

Specifically, the influencing device is a device affected by energy after an input energy source is converted into energy during normal operation of a certain device, for example, when an electric energy source is input to a device X, the device X converts the electric energy source into wind energy, and the influencing device of the device X is a device affected by wind energy within a preset influence range, where the number of influencing devices may be one or multiple. Because the energy types are different, the influence ranges of different energy generation are also different, for example, the influence range of wind energy is different from the influence range of heat energy.

In order to improve efficiency in determining the influencing devices, before acquiring the influencing devices of each device within the preset influence range, the method further comprises:

when the working area contains a plurality of devices, the working positions of the plurality of devices in the working area are obtained; dividing the working area into areas according to the corresponding working positions of the plurality of devices to obtain at least one divided area, wherein the interval distance between the devices contained in each divided area is smaller than a preset threshold value; each device in the partitioned area is subjected to influencing device acquisition.

Specifically, the working area may be a factory in an enterprise or a workshop, and in the embodiment of the present application, it is not limited specifically, and when there are multiple devices in the working area, it is required to analyze and determine whether each device has an influence device and the number of influence devices, but some devices may be spaced from the setting positions of other devices, and there may be no influence device, but the computer still needs to analyze whether such devices have influence devices, and at this time, the working pressure of the computer may be increased.

In order to reduce the working pressure of the computer, the area division can be performed through the setting positions of the devices, only whether the devices in the divided area are affected or not is analyzed, as shown in fig. 4, a plurality of devices exist in the working area, after the working area is divided according to the position of each device, two divided areas are obtained, wherein the area 1 comprises the device 1, the device 2 and the device 3, the area 2 comprises the device 4, the device 5 and the device 6, and the device 7 and the device 8 are far from other devices because the setting positions of the device 7 and the device 8 are far from each other, so that the divided areas are not formed by the device 7 and the device 8, and when the devices are affected, only whether the devices contained in the area 1 and the area 2 are affected or not is analyzed and the quantity of the affected devices is determined. The preset threshold value when dividing the area can be determined according to the actual requirement, and is not particularly limited in the embodiment of the application, and can be determined by related technicians.

Step Sb2: and acquiring the workflow information of each influencing device, and determining the device type of each influencing device in a corresponding preset influence range according to the workflow information of each influencing device, wherein the device type comprises an active influence type and a passive influence type.

Specifically, the type of the influencing device is specific to the target device, the influencing device of the active influencing type is a device, which is formed by the target device after energy conversion, of which the second energy is influenced, and the passive influencing type is a device, which is influenced by the second energy, which is formed by the target device after energy conversion. The workflow information of the influencing device comprises first energy input by the influencing device and second energy after conversion, and the type of the device influencing the device is conveniently determined through the workflow information of the influencing device.

Step Sb3: and determining the adjustment level of each device according to the number of the influence devices contained in the preset influence range of each device and the device type of each influence device.

Specifically, the preset influence range of each device is different from the range corresponding to the divided area, as shown in fig. 4, the dotted line area is the preset influence range of the device 2, and the preset influence range of each device can be determined according to the corresponding relationship between the device and the influence range, where the corresponding relationship between the device and the influence range can be determined according to the historical test data, and the corresponding relationship between the device and the influence range is not specifically limited in the embodiment of the present application, and can be modified by related technicians according to actual requirements.

The number of influencing devices and the device types of the influencing devices influence the alert level of the target device, and when determining the adjustment level of each device according to the number of influencing devices contained in the preset influence range of each device and the device type of each influencing device, the method specifically comprises the following steps:

determining a first weight value of each device according to the corresponding relation between the number of the influence devices and the first weight value contained in the preset influence range of each device; determining the number of each equipment type according to the equipment type of each influencing equipment in the preset influence range of each equipment, and determining the second weight value of each equipment according to the number of each equipment type and the corresponding relation between the number of the equipment types and the second weight value; determining a target weight value of each device according to the first weight value and the second weight value of each device; and determining the adjustment level of each device according to the corresponding relation between the weight and the adjustment level.

Specifically, the first weight values corresponding to the different numbers of influencing devices are different, and the corresponding relation between the numbers and the first weight values can be that when the number of influencing devices in the preset influence area of the target device is 0-2, the corresponding first weight value is 10%; when the number of the influence devices in the preset influence area of the target device is 3-5, the corresponding first weight value is 15%; in order to make the number of the influencing devices in the preset influencing area of the target device be more than 5, the corresponding first weight value is 25%, and the corresponding relation between the number and the first weight value is not particularly limited in the embodiment of the present application, and may be modified by related technicians.

The device types of the influencing devices in the preset influencing range are different, the corresponding second weight values are different, and the corresponding relation between the number of the device types and the second weight values can be 15% when the ratio of the number of the influencing devices of the passive influencing type to the number of the influencing devices of the active influencing type is larger than 1; when the number of the influence devices of the passive influence type and the active influence type is equal to 1, the corresponding second weight value is 10%; when the ratio of the number of the influence devices of the passive influence type to the number of the influence devices of the active influence type is smaller than 1, the corresponding second weight value is 25%, and the corresponding relation between the number of the device types and the second weight value is not particularly limited in the embodiment of the application and can be modified by related technicians.

For example, the number of influencing devices of the target device a is 3, wherein the device types of 2 influencing devices are active influencing devices, the device types of 1 influencing device are passive influencing devices, the first weight value of the target device is determined to be 15% according to the corresponding relation between the number and the first weight value, and the second weight value of the target device is determined to be 25% according to the corresponding relation between the number of the device types and the second weight value, so that the target weight value of the target device can be obtained to be 40%.

According to the corresponding relation between the weight and the adjustment level, when the target weight value is less than 50%, the corresponding adjustment level is one level; when the target weight value is 50% or more, the corresponding adjustment level is two, and the corresponding relation between the specific weight and the adjustment level can be determined by the relevant technician, which is not particularly limited in the embodiment of the present application.

Step Sb4: and adjusting the target warning level of each device according to the adjustment level of each device.

Specifically, if the original warning level of the target device a is a first-level warning, determining that the adjustment level corresponding to the target device is a first-level warning according to the influence device of the target device, and after adjusting the warning level of the target device a according to the adjustment level, changing the warning level of the target device a into a second-level warning.

For the embodiment of the application, the level to be adjusted is determined according to the number of the influencing devices of the target device and the device type of each influencing device, instead of randomly adjusting the warning level to be adjusted, the accuracy in adjusting the warning level is facilitated to be improved by the type and the number of the influencing devices.

Further, because the number of required energy sources corresponding to different devices is different, and the abnormality judgment standards corresponding to different energy sources and energy efficiency are also different, when monitoring whether the energy source and energy efficiency data of each device are abnormal according to the abnormality judgment standards corresponding to the target warning level of each device, and generating a warning signal when the abnormality occurs, the method specifically comprises the following steps:

Judging whether at least one piece of sub energy efficiency information corresponding to each device accords with the standard according to the abnormality judgment standard of the target warning level corresponding to each device; determining sub energy efficiency information which does not accord with the standard as abnormal information, and recording corresponding abnormal equipment; determining a target warning type corresponding to the abnormal equipment according to the target warning level of the abnormal equipment and the corresponding relation between the preset warning level and the warning type; and generating a warning signal according to the abnormal equipment, the abnormal information and the target warning type.

Specifically, the target warning level is a final warning level of the target device, and the abnormality judgment standard corresponding to the target warning level includes abnormality judgment standards of all energy efficiency contained in the target device, for example, the target device a contains three pieces of energy efficiency information, namely electric power, natural gas and coal, and when any piece of energy efficiency information is monitored to be abnormal, abnormality information is generated, and the target device a is determined to be an abnormal device. Different warning grades not only correspond to different abnormal judgment standards, but also comprise different warning types, the warning type corresponding to the primary warning grade can be broadcast, the warning type corresponding to the secondary warning grade can be directional pushing, the warning type corresponding to the tertiary warning grade can be broadcast and directional pushing, the specific corresponding relation between the warning grade and the warning type is not particularly limited in the embodiment of the application, and can be modified by related technicians.

According to the abnormal equipment, the abnormal information and the target warning type, for example, when the warning type corresponding to the target equipment A is a secondary warning, the abnormal energy efficiency information of the target equipment A and the target equipment A is fed back to the terminal equipment of the related staff in a directional pushing mode, and the corresponding relation between the equipment and the contact way of the related staff can be used for determining the target contact corresponding to the abnormal equipment, wherein the corresponding relation between the equipment and the contact way of the related staff can be added, deleted and modified by the related staff.

The warning types corresponding to different warning grades are distinguished, and warning signals are determined according to abnormal equipment and abnormal information, so that relevant technicians can take remedial measures in time according to the warning signals.

The above embodiments describe a method for managing multiple types of energy efficiency from the perspective of a method flow, and the following embodiments describe a device for managing multiple types of energy efficiency from the perspective of a virtual module or a virtual unit, specifically the following embodiments.

An embodiment of the present application provides a multi-type energy efficiency management device, as shown in fig. 5, the device may specifically include a data collection module 510, a data integration module 520, a warning level determination module 530, and an anomaly monitoring module 540, where:

the data collection module 510 is configured to collect energy efficiency data, where the energy efficiency data includes sub energy efficiency data of at least one device, and each sub energy efficiency data includes a device identifier and sub energy efficiency information corresponding to each device;

the data integration module 520 is configured to identify at least one device identifier included in the energy efficiency data, integrate information of the energy efficiency data according to the identified at least one device identifier to obtain integration matrix data, where the integration matrix data includes at least one piece of sub energy efficiency information corresponding to each device;

the warning level determining module 530 is configured to determine an operating state of each device and a corresponding number of sub-energy efficiency according to the integration matrix data, determine a device priority of each device, and determine a target warning level of each device according to a corresponding relationship between the device priority and the warning level, where each warning level corresponds to an anomaly judgment standard of at least one sub-energy efficiency, and the anomaly judgment standards included in different warning levels are different;

The anomaly monitoring module 540 is configured to monitor whether the energy efficiency data of each device is abnormal according to the anomaly judgment standard of the target alert level corresponding to each device, and generate an alert signal when the anomaly occurs.

In one possible implementation manner, the data integration module 520 is specifically configured to, when integrating the energy efficiency data according to the identified at least one device identifier to obtain integrated matrix data:

In one possible implementation manner, the alert level determining module 530 is specifically configured to, when determining the working state and the corresponding number of sub-energy efficiency of each device according to the integration matrix data, determine the device priority of each device:

In one possible implementation, the apparatus further includes:

determining the number of each equipment type according to the equipment type of each influencing equipment in the preset influence range of each equipment, and determining the second weight value of each equipment according to the number of each equipment type and the corresponding relation between the number of the equipment types and the second weight value;

In one possible implementation manner, the anomaly monitoring module 540 monitors whether the energy efficiency data of each device is abnormal according to the anomaly judgment standard of the target alert level corresponding to each device, and when generating the alert signal when the anomaly occurs, is specifically configured to:

and generating a warning signal according to the abnormal equipment, the abnormal information and the target warning type.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.

In an embodiment of the present application, as shown in fig. 6, an electronic device 600 shown in fig. 6 includes: a processor 601 and a memory 603. The processor 601 is coupled to a memory 603, such as via a bus 602. Optionally, the electronic device 600 may also include a transceiver 604. It should be noted that, in practical applications, the transceiver 604 is not limited to one, and the structure of the electronic device 600 is not limited to the embodiment of the present application.

The processor 601 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. The processor 601 may also be a combination that performs computing functions, such as including one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

Bus 602 may include a path to transfer information between the components. Bus 602 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect Standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. The bus 602 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 6, but not only one bus or one type of bus.

The Memory 603 may be, but is not limited to, ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, EEPROM (Electrically Erasable Programmable Read Only Memory ), CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.

The memory 603 is used for storing application program codes for executing the inventive arrangements and is controlled to be executed by the processor 601. The processor 601 is arranged to execute application code stored in the memory 603 for implementing what is shown in the foregoing method embodiments.

Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. But may also be a server or the like. The electronic device shown in fig. 6 is only an example and should not be construed as limiting the functionality and scope of use of the embodiments of the application.

Embodiments of the present application provide a computer-readable storage medium having a computer program stored thereon, which when run on a computer, causes the computer to perform the corresponding method embodiments described above.

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.

The foregoing is only a partial embodiment of the present application, and it should be noted that it will be apparent to those skilled in the art that modifications and adaptations can be made without departing from the principles of the present application, and such modifications and adaptations are intended to be comprehended within the scope of the present application.

Claims

1. A multi-type energy efficiency management method, comprising:

monitoring whether the energy efficiency data of each device is abnormal according to the abnormality judgment standard of the target warning level corresponding to each device, and generating a warning signal when the abnormality occurs;

Wherein after determining the target alert level of each device according to the correspondence between the device priority and the alert level, the method further comprises: acquiring influence equipment of each equipment in a preset influence range; acquiring workflow information of each influencing device, and determining the device type of each influencing device in a corresponding preset influence range according to the workflow information of each influencing device, wherein the device type comprises an active influence type and a passive influence type; determining an adjustment level of each device according to the number of influencing devices contained in a preset influence range of each device and the device type of each influencing device; adjusting the target warning level of each device according to the adjustment level of each device; before the acquiring the influence equipment of each equipment in the preset influence range, the method further comprises the following steps: when the working area contains a plurality of devices, the working positions of the plurality of devices in the working area are obtained; dividing the working area according to the corresponding working positions of the plurality of devices to obtain at least one divided area, wherein the interval distance between the devices contained in each divided area is smaller than a preset threshold value; each device in the partitioned area is subjected to influencing device acquisition.

2. The method for managing multiple types of energy efficiency according to claim 1, wherein the integrating the energy efficiency data according to the identified at least one device identifier to obtain integrated matrix data includes:

3. The method for managing multiple types of energy efficiency according to claim 2, wherein determining the operating status of each device and the corresponding number of sub-energy efficiency according to the integration matrix data, determining the device priority of each device, comprises:

4. The method for managing multiple types of energy efficiency according to claim 1, wherein the determining the adjustment level of each device according to the number of influencing devices included in the preset influence range of each device and the device type of each influencing device comprises:

5. The method for managing multiple types of energy efficiency according to claim 1, wherein the monitoring whether the energy efficiency data of each device has an abnormality according to the abnormality judgment standard of the target alert level corresponding to each device, and generating the alert signal when the abnormality occurs, comprises:

6. A multi-type energy efficiency management apparatus, comprising:

the abnormality monitoring module is used for monitoring whether the energy efficiency data of each device is abnormal according to the abnormality judgment standard of the target warning level corresponding to each device and generating a warning signal when the abnormality occurs;

the apparatus further comprises: the influence equipment acquisition module is used for acquiring influence equipment of each equipment in a preset influence range; the equipment type determining module is used for acquiring the workflow information of each influencing equipment, and determining the equipment type of each influencing equipment in a corresponding preset influence range according to the workflow information of each influencing equipment, wherein the equipment type comprises an active influence type and a passive influence type; the adjustment grade determining module is used for determining the adjustment grade of each device according to the number of the influence devices contained in the preset influence range of each device and the device type of each influence device; the adjustment level module is used for adjusting the target warning level of each device according to the adjustment level of each device; the working position acquisition module is used for acquiring the working positions of a plurality of devices in the working area when the working area contains the plurality of devices; the area dividing module is used for dividing the working area into areas according to the corresponding working positions of the plurality of devices to obtain at least one divided area, and the interval distance between the devices contained in each divided area is smaller than a preset threshold value; and determining an influencing device module, which is used for carrying out influencing device acquisition on each device in the divided area.

7. An electronic device, comprising:

at least one processor;

a memory;

at least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application configured to: a multi-type energy efficiency management method of any one of claims 1-5.

8. A computer-readable storage medium, comprising: a computer program stored with a memory capable of being loaded by a processor and executing a multi-type energy efficiency management method according to any one of claims 1 to 5.