Monitoring method and system for liquid cooling energy storage equipment

Abstract

The invention provides a monitoring method and system for liquid cooling energy storage equipment. The method comprises the following steps: detecting a plurality of initial liquid cooling energy storage equipment correspondingly contained in a target monitoring site in real time in a preset database; detecting a plurality of device types correspondingly contained in the plurality of initial liquid cooling energy storage devices in real time, and detecting a plurality of target energy storage devices corresponding to each device type in real time; creating data transmission sub-networks corresponding to the device types in real time according to the plurality of target energy storage devices, and performing compression processing on the original monitoring data collected by each data transmission sub-network based on a preset rule to generate corresponding compressed monitoring data in real time; and performing integration processing on the compressed monitoring data generated by each data transmission sub-network to generate corresponding target monitoring data in real time, and completing monitoring processing of the plurality of liquid cooling energy storage devices according to the target monitoring data. According to the invention, redundant data can be avoided, and the monitoring efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a monitoring method and system for liquid-cooled energy storage equipment. Background Art

[0002] With the advancement of science and technology and the rapid development of productivity, people have also made rapid progress in the field of energy storage technology, and it has been deeply applied in automobiles, factories and power stations, which has made people's lives more convenient.

[0003] Among them, existing energy storage devices generate a large amount of heat during daily operation. Based on this, most existing technologies use air cooling or liquid cooling to dissipate heat from energy storage devices. Specifically, since the specific heat capacity of liquid is much greater than that of air, liquid-cooled energy storage devices have been widely used in various fields.

[0004] Furthermore, a large number of liquid-cooled energy storage devices are required inside existing factories and charging stations. Based on this, in order to ensure that the liquid-cooled energy storage devices are continuously in a normal and stable working state, the liquid-cooled energy storage devices need to be monitored in real time. Specifically, the existing technology will set corresponding sensors inside the liquid-cooled energy storage devices, and monitor the working status of the liquid-cooled energy storage devices through the data collected by the sensors in real time. However, in the process of real-time monitoring of liquid-cooled energy storage devices in the existing technology, most of the monitoring data collected by the sensors are directly saved in a pre-set database. After accumulation over time, a large amount of redundant data will be generated, which will increase the load on the server and reduce the monitoring efficiency. Summary of the Invention

[0005] Based on this, the purpose of the present invention is to provide a monitoring method and system for liquid-cooled energy storage equipment to solve the problem that most of the existing technologies directly save the monitoring data collected by sensors into a pre-set database, resulting in a large amount of redundant data over time.

[0006] The first aspect of the embodiment of the present invention proposes: A monitoring method for a liquid-cooled energy storage device, wherein the method comprises: Receive the target monitoring location input by the user in real time, and detect in real time from a preset database a number of initial liquid-cooled energy storage devices corresponding to the target monitoring location; Performing a full scan on the initial liquid-cooled energy storage devices to detect in real time the device types contained in the initial liquid-cooled energy storage devices, and detecting in real time the target energy storage devices corresponding to each device type; Creating a data transmission subnet corresponding to the device type in real time based on the target energy storage devices, and compressing the original monitoring data collected by each data transmission subnet based on preset rules to generate corresponding compressed monitoring data in real time; The compressed monitoring data generated by each of the data transmission subnets is integrated and processed to generate corresponding target monitoring data in real time, and monitoring processing of the plurality of liquid-cooled energy storage devices is completed according to the target monitoring data.

[0007] The beneficial effect of the present invention is that by receiving the target monitoring location input by the user in real time, the initial liquid-cooled energy storage device corresponding to the current target monitoring location can be accurately obtained. Based on this, a full scan of the current initial liquid-cooled energy storage devices can detect in real time the corresponding device types contained in the current initial liquid-cooled energy storage device, and can identify the target energy storage devices corresponding to each device type. Based on this, a data transmission subnet corresponding to each device type can be created in real time based on the current target energy storage devices. Based on this, in the actual application process, the original monitoring data collected by each data transmission subnet can be compressed in real time, thereby avoiding the generation of redundant data and improving efficiency.

[0008] Furthermore, the step of creating a data transmission subnet corresponding to the device type in real time based on the plurality of target energy storage devices includes: When the device type and the corresponding target energy storage devices are acquired in real time, target areas corresponding to the target energy storage devices are detected in real time inside the target monitoring location; Detecting in real time the region boundary corresponding to the target region, wherein the region boundary is a regular shape or an irregular shape; A data transmission subnet corresponding to the device type is created in real time according to the regional boundary and the plurality of target energy storage devices.

[0009] Furthermore, the step of creating a data transmission subnet corresponding to the device type in real time based on the regional boundary and the plurality of target energy storage devices includes: When the region boundary is acquired in real time, a target two-dimensional coordinate system adapted to the region boundary is created in real time through a preset program, and the region boundary is mapped to the interior of the target two-dimensional coordinate system; Detecting in real time within the target area the installation location corresponding to each target energy storage device, and mapping each installation location to the interior of the area boundary; A data transmission subnet corresponding to the device type is created in real time according to the regional boundary and each of the installation locations.

[0010] Furthermore, the step of creating a data transmission subnet corresponding to the device type in real time according to the regional boundary and each of the installation locations includes: When each of the installation locations is acquired in real time, a geometric center corresponding to the area boundary is detected in real time within the target two-dimensional coordinate system; Connecting each of the installation locations to the geometric center within the area boundary to construct a corresponding data transmission path in real time; A corresponding data transmission device is set at the geometric center, and the data transmission subnet is constructed in real time according to the data transmission device and the data transmission path. The data transmission subnet is unique.

[0011] Furthermore, the step of compressing the original monitoring data collected by each data transmission subnet based on a preset rule to generate corresponding compressed monitoring data in real time includes: When each of the data transmission subnets is acquired in real time, target values ​​corresponding to a plurality of target energy storage devices included in each of the data transmission subnets are detected in real time; Calculating in real time a target ratio between the target value and a plurality of the initial liquid-cooled energy storage devices, and setting the target ratio as a target compression ratio of the data transmission subnet; The original monitoring data is compressed according to the target compression ratio to generate corresponding compressed monitoring data in real time.

[0012] Furthermore, the step of compressing the original monitoring data according to the target compression ratio to generate corresponding compressed monitoring data in real time includes: When the target compression ratio is obtained in real time, the original monitoring data is fully scanned to detect in real time a number of original characters corresponding to the original monitoring data; Performing integration processing on the plurality of original characters to generate a corresponding target character string in real time; The target character string is compressed according to the target compression ratio to generate the compression monitoring data in real time.

[0013] Furthermore, the step of compressing the target character string according to the target compression ratio to generate the compressed monitoring data in real time includes: When the target character string is acquired in real time, the target character string is split into a plurality of corresponding initial character segments according to the target compression ratio; Sequentially removing the corresponding identical characters and erroneous characters in each of the initial character segments to generate a number of corresponding target character segments; The target character segments are interspersed and fused to generate the compressed monitoring data in real time. The compressed monitoring data is unique.

[0014] The second aspect of the embodiment of the present invention proposes: A monitoring system for a liquid-cooled energy storage device, wherein the system comprises: A detection module is used to receive a target monitoring location input by a user in real time, and detect in real time from a preset database a number of initial liquid-cooled energy storage devices contained within the target monitoring location; a scanning module configured to perform a full scan of the initial liquid-cooled energy storage devices to detect in real time the device types contained in the initial liquid-cooled energy storage devices and to detect in real time the target energy storage devices corresponding to each device type; A compression module is used to create a data transmission subnet corresponding to the device type in real time based on the target energy storage devices, and compress the original monitoring data collected by each data transmission subnet based on preset rules to generate corresponding compressed monitoring data in real time; The monitoring module is used to integrate and process the compressed monitoring data generated by each of the data transmission subnets to generate corresponding target monitoring data in real time, and complete the monitoring processing of the plurality of liquid-cooled energy storage devices according to the target monitoring data.

[0015] Furthermore, the compression module is specifically used to: When the device type and the corresponding target energy storage devices are acquired in real time, target areas corresponding to the target energy storage devices are detected in real time inside the target monitoring location; Detecting in real time the region boundary corresponding to the target region, wherein the region boundary is a regular shape or an irregular shape; A data transmission subnet corresponding to the device type is created in real time according to the regional boundary and the plurality of target energy storage devices.

[0016] Furthermore, the compression module is specifically used to: When the region boundary is acquired in real time, a target two-dimensional coordinate system adapted to the region boundary is created in real time through a preset program, and the region boundary is mapped to the interior of the target two-dimensional coordinate system; Detecting in real time within the target area the installation location corresponding to each target energy storage device, and mapping each installation location to the interior of the area boundary; A data transmission subnet corresponding to the device type is created in real time according to the regional boundary and each of the installation locations.

[0017] Furthermore, the compression module is specifically used to: When each of the installation locations is acquired in real time, a geometric center corresponding to the area boundary is detected in real time within the target two-dimensional coordinate system; Connecting each of the installation locations to the geometric center within the area boundary to construct a corresponding data transmission path in real time; A corresponding data transmission device is set at the geometric center, and the data transmission subnet is constructed in real time according to the data transmission device and the data transmission path. The data transmission subnet is unique.

[0018] Furthermore, the compression module is specifically used to: When each of the data transmission subnets is acquired in real time, target values ​​corresponding to a plurality of target energy storage devices included in each of the data transmission subnets are detected in real time; Calculating in real time a target ratio between the target value and a plurality of the initial liquid-cooled energy storage devices, and setting the target ratio as a target compression ratio of the data transmission subnet; The original monitoring data is compressed according to the target compression ratio to generate corresponding compressed monitoring data in real time.

[0019] Furthermore, the compression module is specifically used to: When the target compression ratio is obtained in real time, the original monitoring data is fully scanned to detect in real time a number of original characters corresponding to the original monitoring data; Performing integration processing on the plurality of original characters to generate a corresponding target character string in real time; The target character string is compressed according to the target compression ratio to generate the compression monitoring data in real time.

[0020] Furthermore, the compression module is specifically used to: When the target character string is acquired in real time, the target character string is split into a plurality of corresponding initial character segments according to the target compression ratio; Sequentially removing the corresponding identical characters and erroneous characters in each of the initial character segments to generate a number of corresponding target character segments; The target character segments are interspersed and fused to generate the compressed monitoring data in real time. The compressed monitoring data is unique.

[0021] The third aspect of the embodiment of the present invention proposes: A computer comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-described monitoring method for a liquid-cooled energy storage device when executing the computer program.

[0022] The fourth aspect of the embodiments of the present invention proposes: A readable storage medium stores a computer program thereon, wherein when the program is executed by a processor, the monitoring method for a liquid-cooled energy storage device as described above is implemented.

[0023] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A flow chart of a monitoring method for a liquid-cooled energy storage device provided in accordance with the first embodiment of the present invention; Figure 2 This is a structural block diagram of a monitoring system for liquid-cooled energy storage equipment provided by the third embodiment of the present invention.

[0025] The following specific embodiments will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0026] To facilitate understanding of the present invention, the present invention will be described more fully below with reference to the accompanying drawings. The drawings illustrate several embodiments of the present invention. However, the present invention may be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided to provide a more thorough and comprehensive understanding of the present invention.

[0027] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be an intermediate element. When an element is referred to as being "connected to" another element, it may be directly connected to the other element or there may be an intermediate element. The terms "vertical," "horizontal," "left," "right," and similar expressions used herein are for illustrative purposes only.

[0028] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one skilled in the art to which this invention pertains. The terms used in this specification of the present invention are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0029] See also Figure 1, shown is a monitoring method for liquid-cooled energy storage equipment provided by the first embodiment of the present invention. The monitoring method for liquid-cooled energy storage equipment provided by this embodiment can compress the generated monitoring data in real time, thereby avoiding the generation of redundant data and correspondingly improving the monitoring efficiency.

[0030] Specifically, this embodiment provides: A monitoring method for a liquid-cooled energy storage device comprises the following steps: Step S10: receiving a target monitoring location input by a user in real time, and detecting in real time from a preset database a number of initial liquid-cooled energy storage devices contained within the target monitoring location; Step S20: Perform a full scan of the initial liquid-cooled energy storage devices to detect in real time the device types contained in the initial liquid-cooled energy storage devices, and detect in real time the target energy storage devices corresponding to each device type. Step S30: creating a data transmission subnet corresponding to the device type in real time according to the plurality of target energy storage devices, and compressing the original monitoring data collected by each of the data transmission subnets based on preset rules to generate corresponding compressed monitoring data in real time; Step S40 , integrating and processing the compressed monitoring data generated by each of the data transmission subnets to generate corresponding target monitoring data in real time, and completing monitoring processing of the plurality of liquid-cooled energy storage devices according to the target monitoring data.

[0031] Specifically, in this embodiment, it should be noted that in order to be able to compress the generated raw monitoring data in a timely and effective manner, it is necessary to accurately obtain the corresponding monitoring data. Based on this, the corresponding compression processing is then performed, thereby effectively avoiding the generation of redundant data. Based on this, in the actual application process, it is necessary to first determine a processing object, so that the server set up the next day needs to receive the target monitoring location input by the user in real time. Specifically, the target monitoring location can be a power station or a factory. Based on this, since the database pre-set for the target monitoring location will register all the liquid-cooled energy storage devices it has, based on this, it is possible to detect all the initial liquid-cooled energy storage devices contained in the current target monitoring location in real time within the current preset database. At the same time, a full scan of the current initial liquid-cooled energy storage devices will be performed, and the corresponding device types contained in the current initial liquid-cooled energy storage devices can be further detected. At the same time, it is also possible to match the target energy storage devices corresponding to each device type in real time to facilitate subsequent processing.

[0032] Furthermore, after detecting several device types and several target energy storage devices corresponding to each device type in real time through the above steps, the present invention will immediately create a data transmission subnet corresponding to the current device type based on the current several target energy storage devices, that is, create a local data transmission network in real time. Based on this, the original monitoring data collected by each current data transmission subnet can be further compressed according to pre-set rules, so that the required compressed monitoring data can be generated in real time. It should be pointed out that the amount of data of the compressed monitoring data is much smaller than the corresponding original monitoring data. Based on this, it is only necessary to integrate and process the compressed monitoring data generated by each current data transmission subnet in real time to generate the corresponding target monitoring data in real time, and the working status of the liquid-cooled energy storage device can be intuitively observed through the target monitoring data, so that the monitoring of the liquid-cooled energy storage device can be completed in real time, thereby effectively avoiding the generation of redundant data and improving the monitoring efficiency of the liquid-cooled energy storage device.

[0033] Second embodiment Furthermore, the step of creating a data transmission subnet corresponding to the device type in real time based on the plurality of target energy storage devices includes: When the device type and the corresponding target energy storage devices are acquired in real time, target areas corresponding to the target energy storage devices are detected in real time inside the target monitoring location; Detecting in real time the region boundary corresponding to the target region, wherein the region boundary is a regular shape or an irregular shape; A data transmission subnet corresponding to the device type is created in real time according to the regional boundary and the plurality of target energy storage devices.

[0034] Furthermore, the step of creating a data transmission subnet corresponding to the device type in real time based on the regional boundary and the plurality of target energy storage devices includes: When the region boundary is acquired in real time, a target two-dimensional coordinate system adapted to the region boundary is created in real time through a preset program, and the region boundary is mapped to the interior of the target two-dimensional coordinate system; Detecting in real time within the target area the installation location corresponding to each target energy storage device, and mapping each installation location to the interior of the area boundary; A data transmission subnet corresponding to the device type is created in real time according to the regional boundary and each of the installation locations.

[0035] Furthermore, the step of creating a data transmission subnet corresponding to the device type in real time according to the regional boundary and each of the installation locations includes: When each of the installation locations is acquired in real time, a geometric center corresponding to the area boundary is detected in real time within the target two-dimensional coordinate system; Connecting each of the installation locations to the geometric center within the area boundary to construct a corresponding data transmission path in real time; A corresponding data transmission device is set at the geometric center, and the data transmission subnet is constructed in real time according to the data transmission device and the data transmission path. The data transmission subnet is unique.

[0036] Furthermore, the step of compressing the original monitoring data collected by each data transmission subnet based on a preset rule to generate corresponding compressed monitoring data in real time includes: When each of the data transmission subnets is acquired in real time, target values ​​corresponding to a plurality of target energy storage devices included in each of the data transmission subnets are detected in real time; Calculating in real time a target ratio between the target value and a plurality of the initial liquid-cooled energy storage devices, and setting the target ratio as a target compression ratio of the data transmission subnet; The original monitoring data is compressed according to the target compression ratio to generate corresponding compressed monitoring data in real time.

[0037] Furthermore, the step of compressing the original monitoring data according to the target compression ratio to generate corresponding compressed monitoring data in real time includes: When the target compression ratio is obtained in real time, the original monitoring data is fully scanned to detect in real time a number of original characters corresponding to the original monitoring data; Performing integration processing on the plurality of original characters to generate a corresponding target character string in real time; The target character string is compressed according to the target compression ratio to generate the compression monitoring data in real time.

[0038] Furthermore, the step of compressing the target character string according to the target compression ratio to generate the compressed monitoring data in real time includes: When the target character string is acquired in real time, the target character string is split into a plurality of corresponding initial character segments according to the target compression ratio; Sequentially removing the corresponding identical characters and erroneous characters in each of the initial character segments to generate a number of corresponding target character segments; The target character segments are interspersed and fused to generate the compressed monitoring data in real time. The compressed monitoring data is unique.

[0039] In addition, in this embodiment, it should be noted that after the required device type and the corresponding target energy storage devices are obtained in real time through the above steps, it is necessary to parse and process the current target energy storage devices in real time to create a data transmission network that can effectively improve the data transmission efficiency in real time. Based on this, the present invention will further detect in real time the target areas occupied by the current target energy storage devices within the above target monitoring location. It should be noted that since the target areas have a certain size, the present invention will further detect the area boundaries corresponding to the current target areas. It should be noted that the area boundaries can be rectangles with regular shapes or polygons with irregular shapes. Based on this, in order to reasonably create a data transmission network that is compatible with the current target energy storage devices, existing 3D software such as UG or SolidWorks will be used to create them in real time. A target two-dimensional coordinate system, and can map the above-mentioned area boundary to the interior of the current target two-dimensional coordinate system in a one-to-one ratio. Correspondingly, the present invention will also detect in real time the corresponding installation locations of the above-mentioned several target energy storage devices within the current area boundary. Similarly, the present invention will synchronously map the installation location of each current target energy storage device to the interior of the current target two-dimensional coordinate system, and will map it to the interior of the current area boundary. Based on this, the present invention will eventually detect the geometric center of the current area boundary, and can connect the installation location of each current target energy storage device to the current geometric center through the above-mentioned three-dimensional program, so as to form a corresponding data transmission path. Based on this, the present invention will also set a corresponding data receiving and transmission device at the position of the current geometric center, so that the data can be aggregated through the device, and the subsequent compression processing can be completed, and then the corresponding data transmission subnet can be created in real time for subsequent processing.

[0040] Furthermore, after the data transmission subnet corresponding to each device type is created in real time through the above steps, the original monitoring data generated in real time will be compressed in a timely manner. Specifically, when the original monitoring data generated by the data transmission subnet is detected in real time, the number of target energy storage devices contained in each current data transmission subnet will be detected, that is, the corresponding target value will be detected. Based on this, the target ratio between the current target value and all liquid-cooled energy storage devices in the current target monitoring location will be calculated in real time. At the same time, the target ratio will be set to the target compression ratio required by the current data transmission subnet, that is, the specific data compression ratio. Based on this, in the actual compression process, the present invention will detect the corresponding internal package of the original monitoring data generated by the current data transmission subnet in real time. Contains several original characters, and at the same time, the current several original characters are connected in series to form a corresponding target character string, so as to facilitate subsequent compression. Specifically, in order to shorten the compression time, the present invention will perform corresponding splitting processing on the current target character string through the above-mentioned target compression ratio. It should be noted that the present invention will specifically split the current target character string into two character segments according to the size of the target compression ratio. On this basis, the corresponding erroneous characters and the same characters that appear in each character segment will be removed at the same time to form a corresponding target character segment. Finally, the current two target character segments are interspersed and fused to form corresponding compressed monitoring data to complete the real-time monitoring of the liquid-cooled energy storage equipment, and at the same time, it can effectively avoid the generation of redundant data, thereby improving the monitoring efficiency.

[0041] See also Figure 2 , the third embodiment of the present invention provides: A monitoring system for a liquid-cooled energy storage device, wherein the system comprises: A detection module is used to receive a target monitoring location input by a user in real time, and detect in real time from a preset database a number of initial liquid-cooled energy storage devices contained within the target monitoring location; a scanning module configured to perform a full scan of the initial liquid-cooled energy storage devices to detect in real time the device types contained in the initial liquid-cooled energy storage devices and to detect in real time the target energy storage devices corresponding to each device type; A compression module is used to create a data transmission subnet corresponding to the device type in real time based on the target energy storage devices, and compress the original monitoring data collected by each data transmission subnet based on preset rules to generate corresponding compressed monitoring data in real time; The monitoring module is used to integrate and process the compressed monitoring data generated by each of the data transmission subnets to generate corresponding target monitoring data in real time, and complete the monitoring processing of the plurality of liquid-cooled energy storage devices according to the target monitoring data.

[0042] Furthermore, the compression module is specifically used to: When the device type and the corresponding target energy storage devices are acquired in real time, target areas corresponding to the target energy storage devices are detected in real time inside the target monitoring location; Detecting in real time the region boundary corresponding to the target region, wherein the region boundary is a regular shape or an irregular shape; A data transmission subnet corresponding to the device type is created in real time according to the regional boundary and the plurality of target energy storage devices.

[0043] Furthermore, the compression module is specifically used to: When the region boundary is acquired in real time, a target two-dimensional coordinate system adapted to the region boundary is created in real time through a preset program, and the region boundary is mapped to the interior of the target two-dimensional coordinate system; Detecting in real time within the target area the installation location corresponding to each target energy storage device, and mapping each installation location to the interior of the area boundary; A data transmission subnet corresponding to the device type is created in real time according to the regional boundary and each of the installation locations.

[0044] Furthermore, the compression module is specifically used to: When each of the installation locations is acquired in real time, a geometric center corresponding to the area boundary is detected in real time within the target two-dimensional coordinate system; Connecting each of the installation locations to the geometric center within the area boundary to construct a corresponding data transmission path in real time; A corresponding data transmission device is set at the geometric center, and the data transmission subnet is constructed in real time according to the data transmission device and the data transmission path. The data transmission subnet is unique.

[0045] Furthermore, the compression module is specifically used to: When each of the data transmission subnets is acquired in real time, target values ​​corresponding to a plurality of target energy storage devices included in each of the data transmission subnets are detected in real time; Calculating in real time a target ratio between the target value and a plurality of the initial liquid-cooled energy storage devices, and setting the target ratio as a target compression ratio of the data transmission subnet; The original monitoring data is compressed according to the target compression ratio to generate corresponding compressed monitoring data in real time.

[0046] Furthermore, the compression module is specifically used to: When the target compression ratio is obtained in real time, the original monitoring data is fully scanned to detect in real time a number of original characters corresponding to the original monitoring data; Performing integration processing on the plurality of original characters to generate a corresponding target character string in real time; The target character string is compressed according to the target compression ratio to generate the compression monitoring data in real time.

[0047] Furthermore, the compression module is specifically used to: When the target character string is acquired in real time, the target character string is split into a plurality of corresponding initial character segments according to the target compression ratio; Sequentially removing the corresponding identical characters and erroneous characters in each of the initial character segments to generate a number of corresponding target character segments; The target character segments are interspersed and fused to generate the compressed monitoring data in real time. The compressed monitoring data is unique.

[0048] A fourth embodiment of the present invention provides a computer, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the monitoring method for a liquid-cooled energy storage device as described above is implemented.

[0049] A fifth embodiment of the present invention provides a readable storage medium having a computer program stored thereon, wherein when the program is executed by a processor, the monitoring method for a liquid-cooled energy storage device as described above is implemented.

[0050] In summary, the monitoring method and system for liquid-cooled energy storage equipment provided by the above embodiments of the present invention can compress the generated monitoring data in real time, thereby avoiding the generation of redundant data and correspondingly improving the monitoring efficiency.

[0051] It should be noted that the above modules can be functional modules or program modules, and can be implemented through software or hardware. For modules implemented through hardware, the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0052] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0053] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting, or processing it in another suitable manner as necessary, and then storing it in a computer memory.

[0054] It should be understood that various components of the present invention may be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods may be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof may be used: a discrete logic circuit having logic gate circuits for implementing logic functions on data signals, an application-specific integrated circuit having suitable combinational logic gate circuits, a programmable gate array (PGA), a field-programmable gate array (FPGA), etc.

[0055] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0056] The above-described embodiments merely illustrate several embodiments of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make various modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

Claims

1. A monitoring method for liquid-cooled energy storage equipment, characterized in that: The method comprises: Receive the target monitoring location input by the user in real time, and detect in real time from a preset database a number of initial liquid-cooled energy storage devices corresponding to the target monitoring location; Performing a full scan on the initial liquid-cooled energy storage devices to detect in real time the device types contained in the initial liquid-cooled energy storage devices, and detecting in real time the target energy storage devices corresponding to each device type; Creating a data transmission subnet corresponding to the device type in real time based on the target energy storage devices, and compressing the original monitoring data collected by each data transmission subnet based on preset rules to generate corresponding compressed monitoring data in real time; The compressed monitoring data generated by each of the data transmission subnets is integrated and processed to generate corresponding target monitoring data in real time, and monitoring processing of the plurality of liquid-cooled energy storage devices is completed according to the target monitoring data.

2. The monitoring method for liquid-cooled energy storage equipment according to claim 1, characterized in that: The step of creating a data transmission subnet corresponding to the device type in real time based on the plurality of target energy storage devices includes: When the device type and the corresponding target energy storage devices are acquired in real time, target areas corresponding to the target energy storage devices are detected in real time inside the target monitoring location; Detecting in real time the region boundary corresponding to the target region, wherein the region boundary is a regular shape or an irregular shape; A data transmission subnet corresponding to the device type is created in real time according to the regional boundary and the plurality of target energy storage devices.

3. The monitoring method for liquid-cooled energy storage equipment according to claim 2, characterized in that: The step of creating a data transmission subnet corresponding to the device type in real time according to the regional boundary and the plurality of target energy storage devices includes: When the region boundary is acquired in real time, a target two-dimensional coordinate system adapted to the region boundary is created in real time through a preset program, and the region boundary is mapped to the interior of the target two-dimensional coordinate system; Detecting in real time within the target area the installation location corresponding to each target energy storage device, and mapping each installation location to the interior of the area boundary; A data transmission subnet corresponding to the device type is created in real time according to the regional boundary and each of the installation locations.

4. The monitoring method for liquid-cooled energy storage equipment according to claim 3, characterized in that: The step of creating a data transmission subnet corresponding to the device type in real time according to the regional boundary and each installation location includes: When each of the installation locations is acquired in real time, a geometric center corresponding to the area boundary is detected in real time within the target two-dimensional coordinate system; Connecting each of the installation locations to the geometric center within the area boundary to construct a corresponding data transmission path in real time; A corresponding data transmission device is set at the geometric center, and the data transmission subnet is constructed in real time according to the data transmission device and the data transmission path. The data transmission subnet is unique.

5. The monitoring method for liquid-cooled energy storage equipment according to claim 1, characterized in that: The step of compressing the original monitoring data collected by each data transmission subnet based on a preset rule to generate corresponding compressed monitoring data in real time includes: When each of the data transmission subnets is acquired in real time, target values ​​corresponding to a plurality of target energy storage devices included in each of the data transmission subnets are detected in real time; Calculating in real time a target ratio between the target value and a plurality of the initial liquid-cooled energy storage devices, and setting the target ratio as a target compression ratio of the data transmission subnet; The original monitoring data is compressed according to the target compression ratio to generate corresponding compressed monitoring data in real time.

6. The monitoring method for liquid-cooled energy storage equipment according to claim 5, characterized in that: The step of compressing the original monitoring data according to the target compression ratio to generate corresponding compressed monitoring data in real time includes: When the target compression ratio is obtained in real time, the original monitoring data is fully scanned to detect in real time a number of original characters corresponding to the original monitoring data; Performing integration processing on the plurality of original characters to generate a corresponding target character string in real time; The target character string is compressed according to the target compression ratio to generate the compression monitoring data in real time.

7. The monitoring method for liquid-cooled energy storage equipment according to claim 6, characterized in that: The step of compressing the target character string according to the target compression ratio to generate the compressed monitoring data in real time includes: When the target character string is acquired in real time, the target character string is split into a plurality of corresponding initial character segments according to the target compression ratio; Sequentially removing the corresponding identical characters and erroneous characters in each of the initial character segments to generate a number of corresponding target character segments; The target character segments are interspersed and fused to generate the compressed monitoring data in real time. The compressed monitoring data is unique.

8. A monitoring system for liquid-cooled energy storage equipment, characterized in that: The system comprises: A detection module is used to receive a target monitoring location input by a user in real time, and detect in real time from a preset database a number of initial liquid-cooled energy storage devices contained within the target monitoring location; a scanning module configured to perform a full scan of the initial liquid-cooled energy storage devices to detect in real time the device types contained in the initial liquid-cooled energy storage devices and to detect in real time the target energy storage devices corresponding to each device type; A compression module is used to create a data transmission subnet corresponding to the device type in real time based on the target energy storage devices, and compress the original monitoring data collected by each data transmission subnet based on preset rules to generate corresponding compressed monitoring data in real time; The monitoring module is used to integrate and process the compressed monitoring data generated by each of the data transmission subnets to generate corresponding target monitoring data in real time, and complete the monitoring processing of the plurality of liquid-cooled energy storage devices according to the target monitoring data.

9. A computer comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the monitoring method for a liquid-cooled energy storage device according to any one of claims 1 to 7 is implemented.

10. A readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the monitoring method for a liquid-cooled energy storage device according to any one of claims 1 to 7 is implemented.

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