Environmental protection abnormal data transmission method

Abstract

The embodiment of the invention discloses an environmental protection abnormal data transmission method, and relates to the technical field of heat supply equipment monitoring, and the method comprises the steps: obtaining heat supply equipment monitoring data; using an abnormal data identification model to identify abnormal data in the heat supply equipment monitoring data; performing transmission preprocessing on the abnormal data to obtain transmission data; setting the transmission data as a high priority in a first transmission path; and simultaneously transmitting the transmission data by adopting a second transmission path. According to the method, redundancy design, priority management, edge calculation and a dedicated channel are combined, the real-time performance, integrity and safety of the environmental protection abnormal data are guaranteed, and the fault tolerance and the resource utilization rate of the system are improved. And data processing is performed at the edge end, so that cloud dependence is reduced, and efficient, stable and intelligent management of environment-friendly management of the heat supply equipment is realized.

Description

Technical Field

[0001] The present disclosure relates to the technical field of heating equipment monitoring, and in particular to a method for transmitting environmental abnormal data. Background Art

[0002] Heating equipment is a device used to provide heat and is widely used in homes, businesses, industries and public facilities. Its main function is to generate heat through different forms of energy (such as gas, oil, electricity, biomass, etc.) and transfer the heat to the required space or medium. The composition of heating equipment usually includes heat source, heat transfer system and control system.

[0003] The heat source is the core part of the heating equipment, which is responsible for converting energy into heat energy. Common heat sources include boilers, electric heating equipment, heat pumps, etc.

[0004] The heat transfer system is responsible for transferring the generated heat to the target area. Common heat transfer methods include: water heating system, air heating system, and steam heating system.

[0005] The control system is used to adjust and optimize the operation of heating equipment to ensure that the production and delivery of heat are adjusted according to demand. It mainly includes: thermostat, regulating valve, automatic control system, etc.

[0006] With the increasing requirements for environmental protection and energy conservation in modern society, the environmental protection indicators of heating equipment are receiving more and more attention. During the operation of heating equipment, real-time monitoring of environmental protection and abnormal handling have become important means to ensure the efficient operation of equipment. Generally speaking, when the environmental protection of heating equipment does not meet the standards, the energy-saving goals often cannot be achieved, and energy conservation failure means that more energy is required. However, during the data transmission process of heating equipment, due to network delays, transmission failures or excessive data, abnormal data may not be transmitted in time or lost, which in turn affects the environmental performance of the system.

[0007] In summary, how to transmit abnormal data quickly and stably is a problem to be solved. Summary of the invention

[0008] In view of this, the embodiments of the present disclosure provide an environmentally friendly abnormal data transmission method and system for quickly and stably transmitting abnormal data.

[0009] In a first aspect, the embodiments of the present disclosure provide a method for transmitting abnormal environmental protection data, which is applied to heating equipment and adopts the following technical solutions:

[0010] Obtain monitoring data of heating equipment;

[0011] Using an abnormal data identification model to identify abnormal data in the heating equipment monitoring data;

[0012] Performing transmission preprocessing on the abnormal data to obtain transmission data;

[0013] Setting the transmission data to a high priority in the first transmission path;

[0014] The transmission data is simultaneously transmitted using a second transmission path.

[0015] As an optional implementation, the identifying abnormal data in the heating equipment monitoring data using an abnormal data identification model includes:

[0016] Inputting the heating equipment monitoring data into an abnormal data recognition model;

[0017] Obtaining an identification log output by an abnormal data identification model, wherein the identification log records the monitoring data of the heating equipment and an abnormal data indicator symbol;

[0018] Determine whether the input heating equipment monitoring data is abnormal data according to the abnormal data.

[0019] As an optional implementation manner, performing transmission preprocessing on the abnormal data includes:

[0020] The abnormal data and the identification code are spliced ​​to obtain transmission data, so that the heating equipment data processing background can identify the abnormal data according to the identification code after receiving the data.

[0021] As an optional implementation manner, before splicing the abnormal data with the identification code to obtain the transmission data, the method further includes:

[0022] Generate abnormal data serial number according to preset rules;

[0023] Performing a hash operation on the abnormal data;

[0024] The hash operation result is concatenated with the abnormal data serial number to obtain the identification code.

[0025] In a second aspect, the embodiment of the present disclosure further provides an environmental protection abnormal data transmission method, which is applied to the data processing background of the heating equipment, including:

[0026] Receiving transmission data sent by the heating equipment through the first transmission path or the second transmission path;

[0027] Identifying whether the transmission data contains an identification code;

[0028] If yes, then

[0029] Verify the integrity of the transmitted data based on the identification code;

[0030] If verification fails,

[0031] receiving transmission data of the same identification code from another transmission path, and verifying the integrity of the transmission data according to the identification code;

[0032] If the verification fails, an alarm message is generated.

[0033] As an optional implementation, the verifying the integrity of the transmitted data according to the identification code includes:

[0034] The abnormal data part in the transmitted data is calculated using the same hash algorithm as the heating equipment. If the calculation result is the same as the calculation result contained in the identification code, the verification is successful, otherwise the verification fails.

[0035] As an optional implementation, it also includes:

[0036] Verify the integrity of the transmitted data based on the identification code;

[0037] If the verification is successful,

[0038] The abnormal data in the transmission data and the abnormal data sequence number in the identification code are stored in a preset location correspondingly.

[0039] As an optional implementation, the abnormal data sequence number includes the generation time of the abnormal data and the heating equipment information corresponding to the abnormal data.

[0040] In a third aspect, the present disclosure also provides an electronic device, which adopts the following technical solution:

[0041] The electronic device comprises:

[0042] at least one processor; and,

[0043] a memory communicatively connected to the at least one processor; wherein,

[0044] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute any of the above-mentioned environmentally friendly abnormal data transmission methods.

[0045] In a fourth aspect, an embodiment of the present disclosure further provides a computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable a computer to execute any of the above-mentioned environmental abnormal data transmission methods.

[0046] In summary, the technical effects of the environmental protection abnormal data transmission method provided by the present disclosure are:

[0047] The environmental protection abnormal data transmission method provided by the embodiment of the present disclosure has the following significant technical effects:

[0048] By setting a high priority for environmental abnormal data, the system response speed is improved and the real-time decision-making is ensured.

[0049] The second transmission path is specifically used to transmit environmental protection data. This design can completely avoid interference from other data on the path, ensure the stability and consistency of dedicated line transmission, and reduce the possibility of data congestion and packet loss.

[0050] By performing edge computing on local devices, abnormal data can be identified directly on the device side, which reduces network bandwidth requirements and enables rapid response to detected anomalies.

[0051] Because one transmission path is only used to transmit environmental data and hash value verification is used, the risk of data being tampered or damaged during transmission can be reduced.

[0052] This method combines redundant design, priority management, edge computing and dedicated channels, which not only ensures the real-time, integrity and security of environmental abnormality data, but also improves the fault tolerance and resource utilization of the system. By processing data at the edge, cloud dependence is reduced, and efficient, stable and intelligent management of environmental protection management of heating equipment is achieved.

[0053] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the following preferred embodiments are specifically cited and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0055] Figure 1 A flowchart of an environmental abnormal data transmission method provided by the first embodiment of the present disclosure;

[0056] Figure 2 A schematic diagram of an environmentally friendly abnormal data transmission path provided by an embodiment of the present disclosure;

[0057] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0058] The embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.

[0059] It should be clear that the following embodiments of the present disclosure are described by specific specific examples, and those skilled in the art can easily understand other advantages and effects of the present disclosure from the contents disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, rather than all of the embodiments. The present disclosure can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that the following embodiments and features in the embodiments can be combined with each other in the absence of conflict. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present disclosure.

[0060] It should be noted that various aspects of the embodiments within the scope of the appended claims are described below. It should be apparent that the aspects described herein may be embodied in a wide variety of forms, and any specific structure and / or function described herein is merely illustrative. Based on the present disclosure, it should be understood by those skilled in the art that an aspect described herein may be implemented independently of any other aspect, and two or more of these aspects may be combined in various ways. For example, any number of aspects described herein may be used to implement the device and / or practice the method. In addition, other structures and / or functionalities other than one or more of the aspects described herein may be used to implement this device and / or practice this method.

[0061] It should also be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present disclosure. The drawings only show components related to the present disclosure rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0062] Additionally, in the following description, specific details are provided to facilitate a thorough understanding of the examples. However, it will be understood by those skilled in the art that the aspects described may be practiced without these specific details.

[0063] Reference Figure 1 The first aspect of the present invention provides an environmental protection abnormal data transmission method, which is applied to a heating device, comprising:

[0064] Step S11, obtaining monitoring data of heating equipment, such as temperature, pressure, smoke emission and other parameters, which can be obtained by arranging sensors at various nodes.

[0065] Step S12, using an abnormal data identification model to identify abnormal data in the monitoring data of the heating equipment;

[0066] Specifically, the method of using the abnormal data identification model to identify abnormal data in the heating equipment monitoring data includes:

[0067] Inputting the heating equipment monitoring data into an abnormal data recognition model;

[0068] Obtaining an identification log output by an abnormal data identification model, wherein the identification log records the monitoring data of the heating equipment and an abnormal data indicator symbol;

[0069] Determine whether the input heating equipment monitoring data is abnormal data according to the abnormal data.

[0070] For example, the abnormal data recognition model can be implemented using a machine learning model, such as a decision tree, a support vector machine, a random forest, a neural network model, etc. In this embodiment, a neural network model is used for implementation.

[0071] Training the neural network model to obtain an abnormal data recognition model can be achieved through the following steps:

[0072] 1. Collect historical data, including:

[0073] Normal data: various sensor data when the device is operating normally.

[0074] Abnormal data: Sensor data of equipment in faulty or abnormal conditions, such as excessive temperature, excessive pressure, abnormal smoke emissions, etc.

[0075] 2. After data collection, the data needs to be cleaned and preprocessed to ensure that the model can extract useful information from the data. Common preprocessing steps include:

[0076] Noise removal: Filter the noise in sensor data to ensure data quality.

[0077] Data standardization / normalization: Standardize feature data of different dimensions to make them suitable for model input.

[0078] Labeling: Label historical data, and mark normal data and abnormal data as different categories (such as 0 for normal and 1 for abnormal) so that the model can perform supervised learning.

[0079] 3. Input the preprocessed data into the selected model for training. During the training process, the model will continuously adjust the parameters to minimize the error between the predicted results and the actual annotations. The training process mainly includes the following two methods. This embodiment adopts supervised learning.

[0080] Supervised learning: The model is trained using labeled normal and abnormal data. By learning the characteristics of these samples, the model can determine whether the newly input data is abnormal in future predictions.

[0081] Unsupervised learning: If there is little abnormal data or it is difficult to collect, you can use unsupervised learning algorithms, such as autoencoders or clustering algorithms. The model automatically discovers abnormal outliers by learning the normal distribution of the data.

[0082] 4. After the model training is completed, use the test data set that was not involved in the training to verify the model. By evaluating the performance of the model on the test set, adjust the model parameters to improve the prediction accuracy. Common performance evaluation indicators include:

[0083] Accuracy: The proportion of normal and abnormal data correctly identified by the model.

[0084] Recall: How much true anomaly data can the model identify.

[0085] F1 value: An indicator that comprehensively considers accuracy and recall, used to measure the overall performance of the model.

[0086] In addition to the above steps, the operating conditions of the equipment may change over time, so the model needs to be updated regularly. Methods for updating the model include:

[0087] Incremental learning: Models are able to learn new data and patterns without complete retraining.

[0088] Model retraining: Regularly collect the latest equipment operation data and retrain the model based on new abnormal situations to ensure the accuracy and adaptability of the model.

[0089] By performing edge computing on local devices, abnormal data can be identified directly on the device side without sending all raw data to the cloud or central server for processing. This reduces the demand for network bandwidth and enables a quick response to detected abnormalities. Edge computing reduces latency, especially in application scenarios such as heating equipment that require high real-time performance, allowing for quick response and processing, improving the flexibility and automation of the system.

[0090] Step S13, performing transmission preprocessing on the abnormal data to obtain transmission data;

[0091] Specifically, the transmission preprocessing of the abnormal data includes:

[0092] The abnormal data and the identification code are spliced ​​to obtain transmission data, so that the heating equipment data processing background can identify the abnormal data according to the identification code after receiving the data.

[0093] Optionally, before splicing the abnormal data with the identification code to obtain the transmission data, the method further includes:

[0094] Generate an abnormal data serial number according to preset rules; the abnormal data serial number can be obtained by combining and splicing data such as date, time, device identification number and the sequence number of reported abnormal data.

[0095] A hash operation is performed on the abnormal data; the hash operation is used to ensure that the data integrity can be verified after the heating equipment data processing background receives the transmitted data.

[0096] The hash operation result is concatenated with the abnormal data serial number to obtain the identification code.

[0097] In this method, the hash value can be used to verify the integrity of the data. During the transmission process, if the data of a certain path is tampered with or damaged, by comparing the received data with its corresponding hash value, the anomaly can be quickly discovered and corresponding measures can be taken. This ensures that the heating equipment data processing background can receive accurate data in a timely manner.

[0098] Step S14, setting the transmission data to a high priority in the first transmission path;

[0099] The first transmission path is a commonly used transmission path, that is, other data is also transmitted through the first transmission path. By setting the transmission data to a high priority, timely transmission of the data is ensured.

[0100] Step S15: using a second transmission path to simultaneously transmit the transmission data.

[0101] The second transmission path is a standby transmission path, other data is not transmitted through the second transmission path, and the second transmission path is only used to transmit the transmission data.

[0102] It should be noted that the first transmission path and the second transmission path are only transmitted through different transmission methods, and the transmission address of the target has not changed. For example, wired network transmission of different operators, wireless network transmission of different operators (such as Internet of Things cards, etc.), the first transmission path and the second transmission path respectively use wired network and wireless network, etc.

[0103] In summary, this method has the following significant technical effects:

[0104] 1. By setting a high priority for environmental abnormal data, it can be ensured that key data is processed and transmitted first during the transmission process. Even if there are other non-critical data in the transmission path, the priority mechanism can ensure that abnormal data is transmitted quickly, improve the system response speed, and ensure the real-time nature of decision-making. Especially in emergency situations, such as when there is a problem with the heating equipment, being able to receive and process abnormal data in a timely manner is crucial to improving the safety and reliability of equipment operation.

[0105] 2. The second transmission path is dedicated to the transmission of environmental protection data. This design can completely avoid interference from other data on the path and ensure the stability and consistency of dedicated line transmission. Even if there is a problem with the priority transmission path, the dedicated path can still serve as a backup to ensure accurate and timely data transmission. The dedicated transmission path is safer and more reliable for certain highly sensitive data, reducing the possibility of data congestion and packet loss.

[0106] 3. By performing edge computing on local devices, abnormal data can be identified directly on the device side without sending all raw data to the cloud or central server for processing. This reduces the demand for network bandwidth and enables quick response to detected abnormalities. Edge computing reduces latency, especially in application scenarios such as heating equipment that require high real-time performance, allowing for quick response and processing, improving system flexibility and automation.

[0107] 4. The benefit of using dual transmission paths is that when one path is unavailable due to network failure or other reasons, the system can transmit abnormal data through another path. Even if the first path transmits other types of data, the second transmission path is used as a backup to ensure that the transmission of critical data will not be interrupted. This dual-path design effectively improves the reliability of data transmission and the fault tolerance of the system, avoiding the risk of a single point of failure causing the entire system to fail.

[0108] 5. Because one transmission path is only used to transmit environmental data and hash value verification is used, the risk of data being tampered with or damaged during transmission can be reduced. At the same time, the encryption methods of data transmitted on different paths can be different, which enhances the overall data security and reduces the possibility of being attacked. Combined with edge computing, a lot of data can be processed on local devices, reducing the frequency of uploading sensitive data to the cloud, thereby improving the ability to protect privacy.

[0109] 6. The two-path design can realize dynamic optimization and scheduling of resources. For example, high-priority data can quickly occupy the main path, and other ordinary data can be transmitted when idle. This intelligent path allocation and data scheduling mechanism can optimize transmission efficiency and avoid waste of network resources. Under normal circumstances, non-critical data can be transmitted separately from critical data, reducing congestion and improving the performance of the overall system.

[0110] This method combines redundant design, priority management, edge computing and dedicated channels, which not only ensures the real-time, integrity and security of environmental abnormality data, but also improves the fault tolerance and resource utilization of the system. By processing data at the edge, cloud dependence is reduced, and efficient, stable and intelligent management of environmental protection management of heating equipment is achieved.

[0111] On the other hand, refer to Figure 2 The present invention provides an environmental protection abnormal data transmission system, which is applied to the data processing background of heating equipment, including:

[0112] Step S21, receiving transmission data sent by the heating equipment through the first transmission path or the second transmission path;

[0113] Specifically, the first transmission path and the second transmission path are only transmitted through different transmission methods, and the transmission address of the target is not changed. For example, wired network transmission of different operators, wireless network transmission of different operators (such as Internet of Things cards, etc.) are used, and the first transmission path and the second transmission path respectively use wired network and wireless network, etc.

[0114] In this step, the transmission data sent through the first transmission path or the second transmission path may be received, and the transmission data of whichever transmission path is received first will be processed first.

[0115] Step S22, identifying whether the transmission data contains an identification code;

[0116] Step S23, if yes, verify the integrity of the transmitted data according to the identification code;

[0117] Specifically, verifying the integrity of the transmitted data according to the identification code includes:

[0118] The abnormal data part in the transmitted data is calculated using the same hash algorithm as the heating equipment. If the calculation result is the same as the calculation result contained in the identification code, the verification is successful, otherwise the verification fails.

[0119] Step S24, if the verification fails, receiving the transmission data of the same identification code of another transmission path, and verifying the integrity of the transmission data according to the identification code;

[0120] The verification of the integrity of the transmitted data based on the identification code is the same as above and will not be repeated here.

[0121] Step S25: if the verification fails, an alarm message is generated. If the data sent by the two transmission paths fail to be verified, there may be a network problem, and the cause needs to be specifically investigated.

[0122] As an optional implementation, it also includes:

[0123] Verify the integrity of the transmitted data based on the identification code;

[0124] If the verification is successful,

[0125] The abnormal data in the transmission data and the abnormal data sequence number in the identification code are stored in a preset location. The abnormal data is stored in a preset location for engineers to analyze the cause or for a fault analysis model to read the data.

[0126] Specifically, the abnormal data sequence number includes the generation time of the abnormal data and the heating equipment information corresponding to the abnormal data. By transmitting the generation time of the abnormal data and the heating equipment information corresponding to the abnormal data, it is convenient to classify and count the environmental abnormal causes and abnormal equipment.

[0127] The electronic device according to an embodiment of the present disclosure includes a memory and a processor. The memory is used to store non-temporary computer-readable instructions. Specifically, the memory may include one or more computer program products, and the computer program product may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may, for example, include a random access memory (RAM) and / or a cache memory (cache), etc. The non-volatile memory may, for example, include a read-only memory (ROM), a hard disk, a flash memory, etc.

[0128] The processor may be a central processing unit (CPU) or other forms of processing units with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions. In one embodiment of the present disclosure, the processor is used to run the computer-readable instructions stored in the memory, so that the electronic device performs all or part of the steps of the environmental protection abnormal data transmission method of each embodiment of the present disclosure.

[0129] Those skilled in the art should be able to understand that in order to solve the technical problem of how to obtain a good user experience, the present embodiment may also include well-known structures such as a communication bus and an interface, and these well-known structures should also be included in the protection scope of the present disclosure.

[0130] like Figure 3 The present invention provides a schematic diagram of the structure of an electronic device according to an embodiment of the present invention, which is suitable for implementing the electronic device in the embodiment of the present invention. Figure 3 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0131] like Figure 3As shown, the electronic device may include a processor (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) or a program loaded from a storage device into a random access memory (RAM). In the RAM, various programs and data required for the operation of the electronic device are also stored. The processor, ROM, and RAM are connected to each other via a bus. An input / output (I / O) interface is also connected to the bus.

[0132] Typically, the following devices can be connected to the I / O interface: input devices such as sensors or visual information acquisition devices; output devices such as display screens; storage devices such as magnetic tapes and hard disks; and communication devices. The communication device can allow the electronic device to communicate with other devices (such as edge computing devices) wirelessly or by wire to exchange data. Figure 3 An electronic device having various devices is shown, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead.

[0133] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device, or installed from a ROM. When the computer program is executed by a processor, all or part of the steps of the environmental protection abnormal data transmission method of the embodiment of the present disclosure are executed.

[0134] For detailed description of this embodiment, reference may be made to the corresponding descriptions in the aforementioned embodiments, which will not be repeated here.

[0135] According to the computer-readable storage medium of the embodiment of the present disclosure, non-transitory computer-readable instructions are stored thereon. When the non-transitory computer-readable instructions are executed by a processor, all or part of the steps of the environmental abnormal data transmission method of each embodiment of the present disclosure are executed.

[0136] The above-mentioned computer-readable storage media include, but are not limited to: optical storage media (e.g., CD-ROM and DVD), magneto-optical storage media (e.g., MO), magnetic storage media (e.g., magnetic tape or mobile hard disk), media with built-in rewritable non-volatile memory (e.g., memory card) and media with built-in ROM (e.g., ROM box).

[0137] For detailed description of this embodiment, reference may be made to the corresponding descriptions in the aforementioned embodiments, which will not be repeated here.

[0138] The basic principles of the present disclosure are described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, effects, etc. mentioned in the present disclosure are only examples and not limitations, and it cannot be considered that these advantages, strengths, effects, etc. are required by each embodiment of the present disclosure. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, and are not limitations. The above details do not limit the present disclosure to the necessity of adopting the above specific details to be implemented.

[0139] In the present disclosure, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. The block diagrams of the devices, devices, equipment, and systems involved in the present disclosure are only illustrative examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagram. As will be appreciated by those skilled in the art, these devices, devices, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including", "comprising", "having", etc. are open words, referring to "including but not limited to", and can be used interchangeably with them. The words "or" and "and" used here refer to the words "and / or" and can be used interchangeably with them, unless the context clearly indicates otherwise. The words "such as" used here refer to the phrase "such as but not limited to", and can be used interchangeably with them.

[0140] Additionally, as used herein, "or" used in a list of items beginning with "at least one" indicates a separate list, so that, for example, a list of "at least one of A, B, or C" means A or B or C, or AB or AC or BC, or ABC (i.e., A and B and C). Furthermore, the word "exemplary" does not mean that the example described is preferred or better than other examples.

[0141] It should also be noted that in the system and method of the present disclosure, each component or each step can be decomposed and / or recombined. Such decomposition and / or recombination should be regarded as equivalent solutions of the present disclosure.

[0142] Various changes, substitutions, and modifications of the techniques described herein may be made without departing from the teachings defined by the appended claims. Furthermore, the scope of the claims of the present disclosure is not limited to the specific aspects of the processes, machines, manufactures, compositions of events, means, methods, and actions described above. Currently existing or later to be developed processes, machines, manufactures, compositions of events, means, methods, or actions that perform substantially the same functions or achieve substantially the same results as the corresponding aspects described herein may be utilized. Thus, the appended claims include such processes, machines, manufactures, compositions of events, means, methods, or actions within their scope.

[0143] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of the present disclosure. Therefore, the present disclosure is not intended to be limited to the aspects shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

[0144] The above description has been given for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present disclosure to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions and sub-combinations thereof.

Claims

1. A method for transmitting abnormal environmental data, applied to heating equipment, characterized in that: include: Obtain monitoring data of heating equipment; Using an abnormal data identification model to identify abnormal data in the heating equipment monitoring data; Performing transmission preprocessing on the abnormal data to obtain transmission data; Setting the transmission data to a high priority in the first transmission path; The transmission data is simultaneously transmitted using a second transmission path.

2. The environmental protection abnormal data transmission method according to claim 1, characterized in that: The identifying abnormal data in the heating equipment monitoring data using the abnormal data identification model comprises: Inputting the heating equipment monitoring data into an abnormal data recognition model; Obtaining an identification log output by an abnormal data identification model, wherein the identification log records the monitoring data of the heating equipment and an abnormal data indicator symbol; Determine whether the input heating equipment monitoring data is abnormal data according to the abnormal data.

3. The environmental protection abnormal data transmission method according to claim 2, characterized in that: The transmission preprocessing of the abnormal data includes: The abnormal data and the identification code are spliced ​​to obtain transmission data, so that the heating equipment data processing background can identify the abnormal data according to the identification code after receiving the data.

4. The environmental protection abnormal data transmission method according to claim 3 is characterized in that: Before splicing the abnormal data with the identification code to obtain the transmission data, the method further includes: Generate abnormal data serial number according to preset rules; Performing a hash operation on the abnormal data; The hash operation result is concatenated with the abnormal data serial number to obtain the identification code.

5. A method for transmitting abnormal environmental data, applied to the background of data processing of heating equipment, characterized in that: include: Receiving transmission data sent by the heating equipment through the first transmission path or the second transmission path; Identifying whether the transmission data contains an identification code; If yes, then Verify the integrity of the transmitted data based on the identification code; If verification fails, receiving transmission data of the same identification code from another transmission path, and verifying the integrity of the transmission data according to the identification code; If the verification fails, an alarm message is generated.

6. The environmental protection abnormal data transmission method according to claim 5, characterized in that: The verifying the integrity of the transmitted data according to the identification code includes: The abnormal data part in the transmitted data is calculated using the same hash algorithm as the heating equipment. If the calculation result is the same as the calculation result contained in the identification code, the verification is successful, otherwise the verification fails.

7. The environmental protection abnormal data transmission method according to claim 6, characterized in that: Also includes: Verify the integrity of the transmitted data based on the identification code; If the verification is successful, The abnormal data in the transmission data and the abnormal data sequence number in the identification code are stored in a preset location correspondingly.

8. The environmental protection abnormal data transmission method according to claim 7, characterized in that: The abnormal data sequence number includes the generation time of the abnormal data and the heating equipment information corresponding to the abnormal data.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the environmental protection abnormal data transmission method according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the environmental protection abnormal data transmission method described in any one of claims 1-8.

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