Project supervision data processing method based on priority

Abstract

The invention relates to the technical field of engineering data processing, in particular to a priority-based engineering supervision data processing method, which comprises the following steps of: receiving a data packet sent by a multi-source supervision terminal, and analyzing a value proof voucher embedded in the packet; the value proof voucher is generated by the terminal based on a data service attribute index; according to the real-time bandwidth capacity and the value certification voucher of each data packet, an improved bandwidth auction algorithm is operated, a bandwidth allocation voucher is output, and the improved bandwidth auction algorithm introduces a two-dimensional bidding mechanism and credit degradation punishment for the resource mismatching problem in the project supervision data; and issuing the bandwidth allocation voucher to a corresponding terminal. According to the invention, the adaptive capacity of the system for resisting resource abuse and scheduling congestion is improved. An end-to-end bandwidth allocation closed-loop control and fusing retransmission mechanism is realized, and the transmission link stability and the scheduling efficiency are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering data processing, and in particular to a method for processing engineering supervision data based on priority. Background Art

[0002] In complex engineering projects such as large-scale infrastructure construction, rail transit, and urban renewal, engineering supervision systems need to aggregate monitoring images, safety alerts, quality reports, process logs, and other data from multiple terminals in real time to assist builders and supervisory units in conducting on-site safety warnings, construction compliance reviews, and closed-loop quality control. With the diversification of supervision equipment (such as smart cameras, vibration sensors, and drones), supervision data has shown typical characteristics such as high-frequency generation, multi-source heterogeneity, and uneven value, posing severe challenges to real-time uploading under limited bandwidth conditions.

[0003] Existing technologies often rely on fixed-priority or first-come-first-served transmission scheduling for monitoring data, lacking a proactive value assessment mechanism based on data service attributes. This prevents high-value information from being prioritized for upload. For example, on-site structural deformation alarms and general inspection logs have the same priority in the transmission queue, making them susceptible to delays or discards due to bandwidth competition, posing a potential risk. Existing methods, which often rely on "static bandwidth pre-allocation" or simple queuing, are unable to cope with sudden fluctuations in the transmission link (such as equipment obstruction or inclement weather) that can cause rate drops and result in high transmission failure rates. Furthermore, the lack of a behavioral governance mechanism makes it easy for malicious terminals to preempt bandwidth. Some terminals frequently forge high-priority identifiers to preempt bandwidth, causing system congestion and scheduling imbalances, impacting the fairness and stability of overall monitoring data transmission.

[0004] In addition, traditional credential control mechanisms are often reused with the main channel, and the issuance of instructions is subject to the data channel load, which can easily cause control-data conflicts; the terminal's speed limit control mostly relies on upper-layer software protocols, which poses a risk of being bypassed or manipulated. Summary of the Invention

[0005] The present invention provides a priority-based engineering supervision data processing method, which is oriented to engineering supervision scenarios and integrates data value self-declaration, priority bandwidth bidding allocation, dynamic link control and fuse compensation mechanism. It solves the problems of high-priority data cannot be guaranteed, resource allocation is unfair and there is a lack of link recovery mechanism in existing solutions, and realizes intelligent, precise and robust scheduling of high-density engineering data transmission.

[0006] The priority-based engineering supervision data processing method includes the following steps: S1, self-declaration of supervision data value: receiving data packets sent by multiple supervision terminals and parsing the value proof voucher embedded in the packet; the value proof voucher is generated by the terminal based on the data service attribute indicators; S2, dynamic bandwidth competition allocation: Based on the real-time bandwidth capacity and the value proof of each data packet, an improved bandwidth auction algorithm is run to output bandwidth allocation certificates. The improved bandwidth auction algorithm addresses the resource mismatch problem in engineering supervision data and introduces a two-dimensional bidding mechanism and credit degradation penalties. S3, voucher-driven transmission execution: the bandwidth allocation voucher is sent to the corresponding terminal, and the terminal performs the upload according to the bandwidth value and time window stated in the voucher.

[0007] Optionally, the S1 includes receiving data packets from each supervision terminal through a preset multi-source access interface layer, and the interface layer supports adaptation to different protocol standards, including UDP, CoAP and MQTT protocols, stripping the transport layer header, extracting and parsing the encrypted proof-of-value certificate embedded in the data packet.

[0008] Optionally, the validity of the proof-of-value certificate is confirmed through a digital signature verification mechanism. After the verification is passed, the business attribute indicators are parsed, including the data type signature, timeliness coefficient and associated business chain hash.

[0009] Optionally, the monitoring terminal performs the following during data collection: a) Data type signature generation: Call the local rule engine to match the data content with the supervision classification tree, output the signature ciphertext, and generate an encrypted label to identify the type category of the data; b) Time efficiency coefficient calculation: retrieve the latest upload time limit for the corresponding data type in the preset regulatory rule library, and calculate the coefficient value based on the data generation time; c) Hash construction of associated business chain: Retrieve the locally stored associated business data identifier, perform hash iteration operation on the identifier sequence, and generate a verifiable lightweight hash chain.

[0010] Optionally, the S2 specifically includes: S21, build a virtual bidding market: divide the real-time bandwidth capacity into several tradable bandwidth units, each with a base price, and assign a virtual token value to the value proof of each monitoring terminal data packet; S22, execute dual-dimensional bidding: Dimension 1: Value priority bidding; Dimension 2: Emergency penetration bidding; S23, generate anti-monopoly bandwidth allocation certificate: generate bandwidth allocation certificate including allocated bandwidth value, time window and token consumption for the supervision data packet that successfully bids for bandwidth. The time window is the shortest upload time period. If the penetration mechanism is triggered, it will be immediately set to a continuous window from the current moment.

[0011] Optionally, the virtual token value is calculated based on the proof of value certificate as follows: ;in, Signature weight for data type, is the aging coefficient, To associate the business chain verification degree, the server hash chain consistency is verified and then assigned a value.

[0012] Optionally, the value priority bidding includes: the supervision data packets bid in descending order of token value, and those with higher token values ​​are given priority in selecting transaction bandwidth units until the units are exhausted or the data queue is empty; The emergency penetration bidding includes: when the identification data type signature is a security alert type and the timeliness coefficient is lower than the penetration triggering threshold, triggering the penetration mechanism and directly allocating bandwidth.

[0013] Optionally, the S23 further includes: Failure compensation mechanism: Credit token compensation is initiated for supervisory data packets that have failed to bid continuously: the weight of the token value in the next round increases with each failure; Malicious bidding credit downgrade: Credit downgrade malicious high-frequency bidding terminals by reducing their data type signature weight and continuing for multiple rounds.

[0014] Optionally, the S3 specifically includes: S31, credential encryption and targeted issuance: The server generates a bandwidth allocation credential with a digital watermark signature. The bandwidth allocation credential structure includes the unique identifier of the terminal device, the allocated bandwidth value, the transmission time window, the token consumption value, and the one-time link encryption key. It is issued to the designated monitoring terminal through a dedicated narrowband channel for supervision; S32, terminal credential verification and link establishment: The terminal verifies the digital watermark signature of the credential and the validity of the transmission time window. If the current time is earlier than the starting point of the transmission time window, the credential is cached in a secure storage area; When the transmission start time arrives, a bandwidth-constrained transmission channel is established using the link encryption key, and the channel forcibly limits the upload rate to no more than the allocated bandwidth value; S33, link quality monitoring and fuse: Real-time monitoring of the packet loss rate and delay fluctuations of the transmission channel. When the actual bandwidth value is detected to be too much lower than the allocated bandwidth value for a continuous period of time, the certificate invalidation fuse is triggered.

[0015] Optionally, triggering the credential failure fuse includes: a) Immediately terminate the current transmission and release bandwidth resources; b) Mark the unfinished data packets as pending retransmission; c) The terminal automatically generates a compensation request including the hash of the original certificate and submits it to the bandwidth auction system.

[0016] Beneficial effects of the present invention: The present invention constructs a value proof certificate structure based on data business attributes, integrates multi-dimensional indicators such as data type signature, timeliness coefficient and associated business chain hash, realizes the terminal's autonomous declaration of data value, and converts it into a dynamic "token value" through a bandwidth auction algorithm. It specifically introduces "business chain hash verification degree" as a weight multiplier to enhance the quantifiable expression ability of data logical associations, thereby ensuring the priority reporting of high-priority supervision information such as structural safety alarms and key node acceptance under resource-constrained conditions, and improving the scenario perception and response efficiency of the overall scheduling strategy.

[0017] This invention adopts a dual-dimensional bidding strategy of "value priority + emergency penetration" to overcome the problem of "non-urgent high-value data crowding out transmission resources" in traditional single-price bidding mechanisms, ensuring that data such as security alerts can directly obtain transmission channels under any network pressure. At the same time, the introduction of "credit token compensation" and "credit degradation for malicious bidding" mechanisms can effectively suppress malicious terminals that forge high-value credentials or frequently seize bandwidth, realize dynamic bidding weight correction and resource recovery, and enhance the system's adaptability to resource abuse and scheduling congestion. It implements end-to-end bandwidth allocation closed-loop control and a fuse retransmission mechanism, significantly improving transmission link stability and scheduling efficiency.

[0018] This invention introduces a closed-loop link control system consisting of an independent credential channel, a bandwidth-constrained channel, and a transmission fuse mechanism. Digitally watermarked encrypted credentials are distributed via a narrowband channel to ensure that dispatch instructions are not interrupted by interference from the main channel. Combined with the speed limit of the underlying network interface, this system constructs a strongly constrained transmission channel, completely eliminating the risk of over-limit transmission. The system monitors packet loss rate and actual bandwidth usage in real time, rapidly triggering a "fuse-and-compensation" process to avoid resource waste and accurately reschedule unfinished tasks. This effectively improves the overall successful transmission rate and system load stability for packets such as multimedia inspection data and image acquisition. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0020] Figure 1 Schematic diagram of a method flow in an embodiment of the present invention; Figure 2 Schematic diagram of transaction bandwidth unit division according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. Those skilled in the art may also implement some known technologies in other alternative ways. The accompanying drawings are only for describing the embodiments in more detail and are not intended to limit the present invention in any specific way.

[0022] like Figure 1-Figure 2 As shown, the priority-based engineering supervision data processing method includes the following steps: S1, self-declaration of supervision data value: receiving data packets sent by multiple supervision terminals and parsing the embedded value proof vouchers; the value proof vouchers are generated by the terminals based on the data service attribute indicators; S2, dynamic bandwidth competition allocation: Based on the real-time bandwidth capacity and the value proof of each data packet, an improved bandwidth auction algorithm is run to output bandwidth allocation certificates. The improved bandwidth auction algorithm addresses the resource mismatch problem in engineering supervision data and introduces a two-dimensional bidding mechanism and credit degradation penalties. S3, voucher-driven transmission execution: The bandwidth allocation voucher is sent to the corresponding terminal, and the terminal performs upload according to the bandwidth value and time window stated in the voucher.

[0023] S1 includes receiving data packets from various supervision terminals through a preset multi-source access interface layer. The interface layer supports adaptation to different protocol standards, including UDP, CoAP and MQTT protocols, stripping the transport layer header, extracting and parsing the encrypted proof-of-value certificate embedded in the data packet.

[0024] The proof-of-value certificate is validated through a digital signature verification mechanism. After verification, the business attribute indicators are parsed, including the data type signature, time coefficient, and associated business chain hash.

[0025] The supervision terminal performs the following when collecting data: a) Data type signature generation: Call the local rule engine to match the data content with the supervision classification tree, output the signature ciphertext, and generate an encrypted label to identify the type category of the data; b) Time efficiency coefficient calculation: retrieve the latest upload time limit for the corresponding data type in the preset regulatory rule library, and calculate the coefficient value based on the data generation time; c) Hash construction of associated business chain: Retrieve the locally stored associated business data identifier, perform hash iteration operation on the identifier sequence, and generate a verifiable lightweight hash chain.

[0026] 1. Data type signature: The data type signature is an encrypted label generated by the supervision terminal based on the local rule engine matching the data content with the supervision classification tree. It is used to identify the type category of the data. The data type categories include security alert category, risk warning category, compliance report category, process record category, multimedia perception data category, and automatic monitoring sensor data category.

[0027] Step 1: Initialize the local rule engine and supervision classification tree: The local preset classification tree is a directed acyclic graph (DAG), which represents the multi-level classification structure of supervision data, expressed as: Each node contains: a unique number , type name (such as security alerts, etc.), matching condition rules , such as field keywords, data type codes, etc.

[0028] Step 2: Data content analysis and matching: Perform semantic or field analysis on the collected data packet content to generate a structured representation , and match the rules in the classification tree node by node. Examples of commonly used matching rules: JSON field exists →Match "Security Alert Class" Contains the field concrete_strength → matches "Material Report Class" Image file + location information field → match "monitoring image class".

[0029] Step 3: Generate data type signature ciphertext (encrypted label): Once the matching node is located , the terminal performs the following operations to generate the signature ciphertext: ; Indicates the supervisor's public key or unified system key. Indicates the timestamp of label generation. Indicates field concatenation operation, the ciphertext Can be inserted into proof-of-value credentials as a verifiable data type label.

[0030] 2. Aging coefficient: Aging coefficient Reflects the ratio of the remaining effective data transmission time to the standard period, which is calculated as follows: ;in, Indicates the latest upload timestamp set in the regulatory rule base for the corresponding data type. Indicates the timestamp of the data received by the current system. Indicates the standard transmission cycle for this type of data defined in the rule base.

[0031] 3. Associated business chain hash: When the terminal collects supervision data, it identifies the sequence based on the local cache or stored pre-processing data. ,Preliminary business data such as concrete pouring report ID, task number, etc., are constructed into a verifiable lightweight association chain through the following iterative hash function: ; in, Represents the concatenation operation between identifiers, Represented as a lightweight irreversible hash function (such as BLAKE2s or a simplified version of SHA-256), The hash value of the final generated associated business chain is used by the upper server to quickly verify the causal relationship between the data. The three indicators together constitute the value proof certificate structure and serve as the basis for subsequent bandwidth competition scheduling and priority control.

[0032] The proof of value certificate can be represented as the following structure VAP: ;in, Indicates the data type signature, represents the aging coefficient, Indicates the associated business chain hash.

[0033] S2 specifically includes: S21, build a virtual bidding market: the total amount of available bandwidth According to unit bandwidth demand Divided into several tradable bandwidth units: ;in, is the number of tradable bandwidth units, Indicates the unit bandwidth value (1Mbps), which is dynamically set according to the average data upload size; Construct the corresponding virtual token value for each supervisor terminal data packet , based on the proof of value certificate, the calculation is as follows: ;in, The signature weight of the data type is set according to the data type category and signature weight setting table. is the aging coefficient, To verify the degree of the associated business chain, the server hash chain consistency is verified and then assigned a value. This is specifically based on the server-side consistency verification mechanism. The server maintains a business data graph index library to map the business logic dependency paths between data. The verification logic is as follows: Step 1: Find the business path: Extract related fields (such as construction section number, timestamp) from the data packet, retrieve the previous task chain in the business data map library, and construct the target verification sequence .

[0034] Step 2: Reconstruct the theoretical hash chain: Iteratively reconstruct the theoretical hash chain on the server side: .

[0035] Step 3: Calculate the hash consistency ratio: Define the hash chain consistency matching degree as: ; is the number of hash chain levels that fully match the prefix, is the total number of theoretical chain layers, The result is limited to the interval [0.8, 1.5] by the smoothing factor, which is used to amplify or weaken the token value, and is finally assigned by the final assignment rule table in Table 2.

[0036] Table 1 Data type category and signature weight setting table Data type category Encoded Label Sample data content Recommended weight Wb Setting basis description Security Alarm ALERT Excessive deformation of foundation pit, tilt of lifting equipment, etc. 1.5 Extremely high priority, must be reported immediately, may cause a major safety incident Risk Warning RISK_WARN Personnel not wearing safety helmets and materials stacked abnormally 1.3 Significant but non-fatal risk, requiring moderate feedback Compliance reporting COMPLIANCE Material test report, concrete strength report 1.2 It needs to leave traces and be regulated by laws and regulations, but the timeliness is medium. Construction process records PROCESS_LOG Construction log, construction schedule 1 Log-type basic data, with the lowest timeliness requirement Multimedia perception data class MEDIA_SENSE Crack images and video inspection clips 1.1 The storage space is large, and its importance needs to be judged in combination with the business chain verification degree Automatic monitoring sensor data AUTO_SENSOR Periodic sampling data such as noise / displacement / vibration 0.9 Periodic repeated collection, low single data value, mainly relies on trend analysis Table 2 Final assignment rule table assignment Matching degree ρb explain Value Exactly the same (full match) Completely consistent with the historical business chain 1.5 Partial match (≥80%) Missing some dependent data 1.1~1.3 Abnormal or fake chain No valid matching path 0.8 S22, execute dual-dimensional bidding: Dimension 1: Value Priority Bidding: All candidate data packets are ranked by token value. Sort in descending order, selecting bandwidth units one by one until the units are exhausted or the data queue is empty.

[0037] Dimension 2: Emergency penetration mechanism: When the following penetration trigger conditions are met, the regular bidding process is skipped and bandwidth units are allocated immediately: ; Indicates the data type label, is the penetration trigger threshold (0.2), the above expression is: Jordi The data packet meets the following two conditions: 1. Its data type is "security alert class" (i.e. Type "Safety Alert Category") indicates that this is high-risk data directly related to project safety (such as foundation pit warning, structural deformation warning, etc.); 2. Its timeliness coefficient Less than or equal to the penetration threshold , which means that the data is extremely urgent and has very little time left before its "latest upload time". The system will immediately allocate bandwidth units to the data packet and it will no longer participate in the regular bidding process.

[0038] S23, generate anti-monopoly bandwidth allocation certificate: S231: Generate a bandwidth allocation voucher with the following structure for the terminal data packet that has successfully won the bid: ; Indicates the allocated bandwidth value. Indicates the allocation of transmission time window, Indicates the token consumption value.

[0039] S232, Failure Compensation Mechanism (Credit Token Compensation): For continuous For a data packet that fails the bidding, its token value in the next round will be increased to: ; is the original token value, Indicates consecutive failed rounds.

[0040] S233, Malicious Bidding Credit Degradation: When a terminal meets the following conditions, the credit degrading mechanism is triggered: ; Indicates the number of bids for the terminal. Indicates the average number of system bids. Indicates the winning rate, The signature weight of the data type (decreases by 50% during the penalty period, which lasts for 3 rounds). The above is expressed as: If the following two conditions are met: 1. The number of bids for a terminal More than 3 times the average number of bids of all terminals in the system (i.e. ), indicating that the terminal participates in bidding very frequently and behaves abnormally; 2. The winning rate of the terminal Less than 10% ), indicating that its bidding has almost never been successful, and it is suspected that it is maliciously grabbing resources with "high frequency and low efficiency"; then, the system will set the "data type signature weight" of the terminal "Perform downgrading by multiplying it by 0.5, which is a 50% reduction.

[0041] Implement a credit penalty mechanism to suppress the following behaviors: forging high-priority credentials to frequently bid, continuously preempting without actual data upload intention, and occupying system resources to cause bandwidth congestion.

[0042] By lowering Wd, the terminal will be at a significant disadvantage in subsequent token value calculations, thereby reducing its probability of winning the bandwidth bid and achieving the goal of curbing resource abuse and system monopoly behavior.

[0043] S3 specifically includes: S31, certificate encryption and targeted distribution: After the server completes the bandwidth bidding allocation, each winning terminal generates an encrypted bandwidth allocation certificate structure It further contains the following fields:

[0044] After being digitally watermarked and encrypted, the above-mentioned credentials are sent down through an independent supervision-dedicated narrowband channel (bandwidth of approximately 200KHz). This channel is physically isolated from the main data upload channel and uses a low-power anti-interference protocol (LoRaWAN) to ensure the success rate of credential delivery in complex engineering environments. is the transmission start time, The transmission end time.

[0045] S32, terminal credential verification and link establishment: terminal receives and caches Then, execute the following process: Perform digital watermark verification on the certificate to confirm its authenticity; If the current system time , then cache the credentials to the local secure storage area and wait for the valid transmission window to enter; arrive When the terminal uses the one-time key in the credential Establish an encrypted link connection with the server and call the network driver interface to limit the upload rate , construct the following constraints: ; Indicates that the terminal's data upload rate must be less than or equal to the bandwidth value allocated by the system , build a bandwidth value-constrained transmission channel for the terminal to ensure that the transmission is within the specified range of the auction voucher and prevent unauthorized speed increase and bandwidth occupation.

[0046] S33, dynamic link quality monitoring and fuse mechanism: During data upload, the system monitors two indicators in real time: the actual upload rate , channel packet loss rate ,The higher the channel packet loss rate is, the actual upload rate will decrease; If the following conditions are met for three consecutive seconds: ; In consecutive 3-second time windows If the actual upload rate of the terminal is If the link performance is consistently lower than 60% of its allocated bandwidth, the link is deemed to be substandard and a fuse mechanism may be triggered.

[0047] The credential invalidation circuit breaker mechanism is triggered, and the following operations are performed: 1. Terminate the current transmission task and release bandwidth resources; 2. Set the status of the remaining data packets to "pending retransmission" for subsequent compensation scheduling; 3. Automatically construct the compensation request structure, the content is as follows: ; The request will be submitted to the bandwidth scheduling system to participate in the next round of compensation bidding.

[0048] The present invention encompasses any alternatives, modifications, equivalents, and solutions that fall within the spirit and scope of the present invention. To provide a thorough understanding of the present invention, specific details are described in detail below in connection with the preferred embodiments of the present invention, but those skilled in the art will be able to fully understand the present invention without these detailed descriptions. Furthermore, to avoid unnecessary confusion regarding the essence of the present invention, well-known methods, processes, procedures, components, and circuits have not been described in detail.

[0049] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A priority-based engineering supervision data processing method, characterized in that: The following steps are involved: S1, self-declaration of supervision data value: receiving data packets sent by multiple supervision terminals and parsing the value proof voucher embedded in the packet; the value proof voucher is generated by the terminal based on the data service attribute indicators; S2, dynamic bandwidth competition allocation: Based on the real-time bandwidth capacity and the value proof of each data packet, an improved bandwidth auction algorithm is run to output bandwidth allocation certificates. The improved bandwidth auction algorithm addresses the resource mismatch problem in engineering supervision data and introduces a two-dimensional bidding mechanism and credit degradation penalties. S3, voucher-driven transmission execution: the bandwidth allocation voucher is sent to the corresponding terminal, and the terminal performs the upload according to the bandwidth value and time window stated in the voucher.

2. The priority-based engineering supervision data processing method according to claim 1 is characterized in that: The S1 includes receiving data packets from each supervision terminal through a preset multi-source access interface layer. The interface layer supports adaptation to different protocol standards, including UDP, CoAP and MQTT protocols, stripping the transport layer header, extracting and parsing the encrypted value proof certificate embedded in the data packet.

3. The priority-based engineering supervision data processing method according to claim 1 is characterized in that: The value proof certificate is validated through a digital signature verification mechanism. After verification, the business attribute indicators are parsed, including the data type signature, time coefficient and associated business chain hash.

4. The priority-based engineering supervision data processing method according to claim 1, characterized in that: The monitoring terminal performs the following operations during data collection: a) Data type signature generation: Call the local rule engine to match the data content with the supervision classification tree, output the signature ciphertext, and generate an encrypted label to identify the type category of the data; b) Time efficiency coefficient calculation: retrieve the latest upload time limit for the corresponding data type in the preset regulatory rule library, and calculate the coefficient value based on the data generation time; c) Hash construction of associated business chain: Retrieve the locally stored associated business data identifier, perform hash iteration operation on the identifier sequence, and generate a verifiable lightweight hash chain.

5. The priority-based engineering supervision data processing method according to claim 1 is characterized in that: The S2 specifically includes: S21, build a virtual bidding market: divide the real-time bandwidth capacity into several tradable bandwidth units, each with a base price, and assign a virtual token value to the value proof of each monitoring terminal data packet; S22, execute dual-dimensional bidding: Dimension 1: Value priority bidding; Dimension 2: Emergency penetration bidding; S23, generate anti-monopoly bandwidth allocation certificate: generate bandwidth allocation certificate including allocated bandwidth value, time window and token consumption for the supervision data packet that successfully bids for bandwidth. The time window is the shortest upload time period. If the penetration mechanism is triggered, it will be immediately set to a continuous window from the current moment.

6. The priority-based engineering supervision data processing method according to claim 5 is characterized in that: The virtual token value is calculated based on the proof of value certificate as follows: ,in, Signature weight for data type, is the aging coefficient, To associate the business chain verification degree, the server hash chain consistency is verified and then assigned a value.

7. The priority-based engineering supervision data processing method according to claim 5, characterized in that: The value priority bidding includes: supervision data packets bid in descending order of token value, and those with higher token values ​​are given priority in selecting transaction bandwidth units until the units are exhausted or the data queue is empty; The emergency penetration bidding includes: when the identification data type signature is a security alert type and the timeliness coefficient is lower than the penetration triggering threshold, triggering the penetration mechanism and directly allocating bandwidth.

8. The priority-based engineering supervision data processing method according to claim 5, characterized in that: The S23 further includes: Failure compensation mechanism: Credit token compensation is initiated for supervisory data packets that fail to bid continuously: the weight of the token value in the next round increases with each failure; Malicious bidding credit downgrade: Credit downgrade malicious high-frequency bidding terminals by reducing their data type signature weight and continuing for multiple rounds.

9. The priority-based engineering supervision data processing method according to claim 1, characterized in that: The S3 specifically includes: S31, credential encryption and targeted issuance: The server generates a bandwidth allocation credential with a digital watermark signature. The bandwidth allocation credential structure includes the unique identifier of the terminal device, the allocated bandwidth value, the transmission time window, the token consumption value, and the one-time link encryption key. It is issued to the designated monitoring terminal through a dedicated narrowband channel for supervision; S32, terminal credential verification and link establishment: The terminal verifies the digital watermark signature of the credential and the validity of the transmission time window. If the current time is earlier than the starting point of the transmission time window, the credential is cached in a secure storage area; When the transmission start time arrives, a bandwidth-constrained transmission channel is established using the link encryption key, and the channel forcibly limits the upload rate to no more than the allocated bandwidth value; S33, link quality monitoring and fuse: Real-time monitoring of the packet loss rate and delay fluctuations of the transmission channel. When the actual bandwidth value is detected to be too much lower than the allocated bandwidth value for a continuous period of time, the certificate invalidation fuse is triggered.

10. The priority-based engineering supervision data processing method according to claim 9, characterized in that: The triggering of credential failure fuse includes: a) Immediately terminate the current transmission and release bandwidth resources; b) Mark the unfinished data packets as pending retransmission; c) The terminal automatically generates a compensation request including the hash of the original certificate and submits it to the bandwidth auction system.

Images